fix test

Co-authored-by: yyh <yuanyouhuilyz@gmail.com>

api/controllers/console/app/generator.py

@@ -1,9 +1,13 @@
+import logging
 from collections.abc import Sequence
 from typing import Any
 
 from flask_restx import Resource
 from pydantic import BaseModel, Field
 
+logger = logging.getLogger(__name__)
+
+
 from controllers.console import console_ns
 from controllers.console.app.error import (
     CompletionRequestError,
@@ -18,6 +22,7 @@ from core.helper.code_executor.javascript.javascript_code_provider import Javasc
 from core.helper.code_executor.python3.python3_code_provider import Python3CodeProvider
 from core.llm_generator.llm_generator import LLMGenerator
 from core.model_runtime.errors.invoke import InvokeError
+from core.workflow.generator import WorkflowGenerator
 from extensions.ext_database import db
 from libs.login import current_account_with_tenant, login_required
 from models import App
@@ -55,6 +60,30 @@ class InstructionTemplatePayload(BaseModel):
     type: str = Field(..., description="Instruction template type")
 
 
+class PreviousWorkflow(BaseModel):
+    """Previous workflow attempt for regeneration context."""
+
+    nodes: list[dict[str, Any]] = Field(default_factory=list, description="Previously generated nodes")
+    edges: list[dict[str, Any]] = Field(default_factory=list, description="Previously generated edges")
+    warnings: list[str] = Field(default_factory=list, description="Warnings from previous generation")
+
+
+class FlowchartGeneratePayload(BaseModel):
+    instruction: str = Field(..., description="Workflow flowchart generation instruction")
+    model_config_data: dict[str, Any] = Field(..., alias="model_config", description="Model configuration")
+    available_nodes: list[dict[str, Any]] = Field(default_factory=list, description="Available node types")
+    existing_nodes: list[dict[str, Any]] = Field(default_factory=list, description="Existing workflow nodes")
+    existing_edges: list[dict[str, Any]] = Field(default_factory=list, description="Existing workflow edges")
+    available_tools: list[dict[str, Any]] = Field(default_factory=list, description="Available tools")
+    selected_node_ids: list[str] = Field(default_factory=list, description="IDs of selected nodes for context")
+    previous_workflow: PreviousWorkflow | None = Field(default=None, description="Previous workflow for regeneration")
+    regenerate_mode: bool = Field(default=False, description="Whether this is a regeneration request")
+    # Language preference for generated content (node titles, descriptions)
+    language: str | None = Field(default=None, description="Preferred language for generated content")
+    # Available models that user has configured (for LLM/question-classifier nodes)
+    available_models: list[dict[str, Any]] = Field(default_factory=list, description="User's configured models")
+
+
 def reg(cls: type[BaseModel]):
     console_ns.schema_model(cls.__name__, cls.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0))
 
@@ -64,6 +93,7 @@ reg(RuleCodeGeneratePayload)
 reg(RuleStructuredOutputPayload)
 reg(InstructionGeneratePayload)
 reg(InstructionTemplatePayload)
+reg(FlowchartGeneratePayload)
 
 
 @console_ns.route("/rule-generate")
@@ -255,6 +285,52 @@ class InstructionGenerateApi(Resource):
             raise CompletionRequestError(e.description)
 
 
+@console_ns.route("/flowchart-generate")
+class FlowchartGenerateApi(Resource):
+    @console_ns.doc("generate_workflow_flowchart")
+    @console_ns.doc(description="Generate workflow flowchart using LLM with intent classification")
+    @console_ns.expect(console_ns.models[FlowchartGeneratePayload.__name__])
+    @console_ns.response(200, "Flowchart generated successfully")
+    @console_ns.response(400, "Invalid request parameters")
+    @console_ns.response(402, "Provider quota exceeded")
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        args = FlowchartGeneratePayload.model_validate(console_ns.payload)
+        _, current_tenant_id = current_account_with_tenant()
+
+        try:
+            # Convert PreviousWorkflow to dict if present
+            previous_workflow_dict = args.previous_workflow.model_dump() if args.previous_workflow else None
+
+            result = WorkflowGenerator.generate_workflow_flowchart(
+                tenant_id=current_tenant_id,
+                instruction=args.instruction,
+                model_config=args.model_config_data,
+                available_nodes=args.available_nodes,
+                existing_nodes=args.existing_nodes,
+                existing_edges=args.existing_edges,
+                available_tools=args.available_tools,
+                selected_node_ids=args.selected_node_ids,
+                previous_workflow=previous_workflow_dict,
+                regenerate_mode=args.regenerate_mode,
+                preferred_language=args.language,
+                available_models=args.available_models,
+            )
+
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+
+        return result
+
+
 @console_ns.route("/instruction-generate/template")
 class InstructionGenerationTemplateApi(Resource):
     @console_ns.doc("get_instruction_template")

api/core/helper/ssrf_proxy.py

@@ -106,6 +106,9 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
     verify_option = kwargs.pop("ssl_verify", dify_config.HTTP_REQUEST_NODE_SSL_VERIFY)
     client = _get_ssrf_client(verify_option)
 
+    # Extract follow_redirects for client.send() - it's not a build_request parameter
+    follow_redirects = kwargs.pop("follow_redirects", True)
+
     # Preserve user-provided Host header
     # When using a forward proxy, httpx may override the Host header based on the URL.
     # We extract and preserve any explicitly set Host header to support virtual hosting.
@@ -120,9 +123,10 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
             # the request API to explicitly set headers before sending
             headers = {k: v for k, v in headers.items() if k.lower() != "host"}
             if user_provided_host is not None:
-                headers["host"] = user_provided_host
-            kwargs["headers"] = headers
-            response = client.request(method=method, url=url, **kwargs)
+                headers["Host"] = user_provided_host
+
+            request = client.build_request(method, url, headers=headers, **kwargs)
+            response = client.send(request, follow_redirects=follow_redirects)
 
             # Check for SSRF protection by Squid proxy
             if response.status_code in (401, 403):

api/core/llm_generator/llm_generator.py

@@ -1,6 +1,5 @@
 import json
 import logging
-import re
 from collections.abc import Sequence
 from typing import Protocol, cast
 
@@ -12,8 +11,6 @@ from core.llm_generator.prompts import (
     CONVERSATION_TITLE_PROMPT,
     GENERATOR_QA_PROMPT,
     JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE,
-    LLM_MODIFY_CODE_SYSTEM,
-    LLM_MODIFY_PROMPT_SYSTEM,
     PYTHON_CODE_GENERATOR_PROMPT_TEMPLATE,
     SUGGESTED_QUESTIONS_MAX_TOKENS,
     SUGGESTED_QUESTIONS_TEMPERATURE,
@@ -30,6 +27,7 @@ from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
 from core.ops.utils import measure_time
 from core.prompt.utils.prompt_template_parser import PromptTemplateParser
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
+from core.workflow.generator import WorkflowGenerator
 from extensions.ext_database import db
 from extensions.ext_storage import storage
 from models import App, Message, WorkflowNodeExecutionModel
@@ -285,6 +283,35 @@ class LLMGenerator:
 
         return rule_config
 
+    @classmethod
+    def generate_workflow_flowchart(
+        cls,
+        tenant_id: str,
+        instruction: str,
+        model_config: dict,
+        available_nodes: Sequence[dict[str, object]] | None = None,
+        existing_nodes: Sequence[dict[str, object]] | None = None,
+        available_tools: Sequence[dict[str, object]] | None = None,
+        selected_node_ids: Sequence[str] | None = None,
+        previous_workflow: dict[str, object] | None = None,
+        regenerate_mode: bool = False,
+        preferred_language: str | None = None,
+        available_models: Sequence[dict[str, object]] | None = None,
+    ):
+        return WorkflowGenerator.generate_workflow_flowchart(
+            tenant_id=tenant_id,
+            instruction=instruction,
+            model_config=model_config,
+            available_nodes=available_nodes,
+            existing_nodes=existing_nodes,
+            available_tools=available_tools,
+            selected_node_ids=selected_node_ids,
+            previous_workflow=previous_workflow,
+            regenerate_mode=regenerate_mode,
+            preferred_language=preferred_language,
+            available_models=available_models,
+        )
+
     @classmethod
     def generate_code(cls, tenant_id: str, instruction: str, model_config: dict, code_language: str = "javascript"):
         if code_language == "python":

api/core/llm_generator/prompts.py

@@ -143,6 +143,50 @@ Based on task description, please create a well-structured prompt template that
 Please generate the full prompt template with at least 300 words and output only the prompt template.
 """  # noqa: E501
 
+WORKFLOW_FLOWCHART_PROMPT_TEMPLATE = """
+You are an expert workflow designer. Generate a Mermaid flowchart based on the user's request.
+
+Constraints:
+- Detect the language of the user's request. Generate all node titles in the same language as the user's input.
+- If the input language cannot be determined, use {{PREFERRED_LANGUAGE}} as the fallback language.
+- Use only node types listed in <available_nodes>.
+- Use only tools listed in <available_tools>. When using a tool node, set type=tool and tool=<tool_key>.
+- Tools may include MCP providers (provider_type=mcp). Tool selection still uses tool_key.
+- Prefer reusing node titles from <existing_nodes> when possible.
+- Output must be valid Mermaid flowchart syntax, no markdown, no extra text.
+- First line must be: flowchart LR
+- Every node must be declared on its own line using:
+  <id>["type=<type>|title=<title>|tool=<tool_key>"]
+  - type is required and must match a type in <available_nodes>.
+  - title is required for non-tool nodes.
+  - tool is required only when type=tool, otherwise omit tool.
+- Declare all node lines before any edges.
+- Edges must use:
+  <id> --> <id>
+  <id> -->|true| <id>
+  <id> -->|false| <id>
+- Keep node ids unique and simple (N1, N2, ...).
+- For complex orchestration:
+  - Break the request into stages (ingest, transform, decision, action, output).
+  - Use IfElse for branching and label edges true/false only.
+  - Fan-in branches by connecting multiple nodes into a shared downstream node.
+  - Avoid cycles unless explicitly requested.
+  - Keep each branch complete with a clear downstream target.
+
+<user_request>
+{{TASK_DESCRIPTION}}
+</user_request>
+<available_nodes>
+{{AVAILABLE_NODES}}
+</available_nodes>
+<existing_nodes>
+{{EXISTING_NODES}}
+</existing_nodes>
+<available_tools>
+{{AVAILABLE_TOOLS}}
+</available_tools>
+"""
+
 RULE_CONFIG_PROMPT_GENERATE_TEMPLATE = """
 Here is a task description for which I would like you to create a high-quality prompt template for:
 <task_description>

api/core/workflow/generator/__init__.py

@@ -0,0 +1 @@
+from .runner import WorkflowGenerator

api/core/workflow/generator/config/__init__.py

@@ -0,0 +1,29 @@
+"""
+Vibe Workflow Generator Configuration Module.
+
+This module centralizes configuration for the Vibe workflow generation feature,
+including node schemas, fallback rules, and response templates.
+"""
+
+from core.workflow.generator.config.node_schemas import (
+    BUILTIN_NODE_SCHEMAS,
+    FALLBACK_RULES,
+    FIELD_NAME_CORRECTIONS,
+    NODE_TYPE_ALIASES,
+    get_builtin_node_schemas,
+    get_corrected_field_name,
+    validate_node_schemas,
+)
+from core.workflow.generator.config.responses import DEFAULT_SUGGESTIONS, OFF_TOPIC_RESPONSES
+
+__all__ = [
+    "BUILTIN_NODE_SCHEMAS",
+    "DEFAULT_SUGGESTIONS",
+    "FALLBACK_RULES",
+    "FIELD_NAME_CORRECTIONS",
+    "NODE_TYPE_ALIASES",
+    "OFF_TOPIC_RESPONSES",
+    "get_builtin_node_schemas",
+    "get_corrected_field_name",
+    "validate_node_schemas",
+]

api/core/workflow/generator/config/node_schemas.py

@@ -0,0 +1,501 @@
+"""
+Unified Node Configuration for Vibe Workflow Generation.
+
+This module centralizes all node-related configuration:
+- Node schemas (parameter definitions)
+- Fallback rules (keyword-based node type inference)
+- Node type aliases (natural language to canonical type mapping)
+- Field name corrections (LLM output normalization)
+- Validation utilities
+
+Note: These definitions are the single source of truth.
+Frontend has a mirrored copy at web/app/components/workflow/hooks/use-workflow-vibe-config.ts
+"""
+
+from typing import Any
+
+# =============================================================================
+# NODE SCHEMAS
+# =============================================================================
+
+# Built-in node schemas with parameter definitions
+# These help the model understand what config each node type requires
+_HARDCODED_SCHEMAS: dict[str, dict[str, Any]] = {
+    "http-request": {
+        "description": "Send HTTP requests to external APIs or fetch web content",
+        "required": ["url", "method"],
+        "parameters": {
+            "url": {
+                "type": "string",
+                "description": "Full URL including protocol (https://...)",
+                "example": "{{#start.url#}} or https://api.example.com/data",
+            },
+            "method": {
+                "type": "enum",
+                "options": ["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"],
+                "description": "HTTP method",
+            },
+            "headers": {
+                "type": "string",
+                "description": "HTTP headers as newline-separated 'Key: Value' pairs",
+                "example": "Content-Type: application/json\nAuthorization: Bearer {{#start.api_key#}}",
+            },
+            "params": {
+                "type": "string",
+                "description": "URL query parameters as newline-separated 'key: value' pairs",
+            },
+            "body": {
+                "type": "object",
+                "description": "Request body with type field required",
+                "example": {"type": "none", "data": []},
+            },
+            "authorization": {
+                "type": "object",
+                "description": "Authorization config",
+                "example": {"type": "no-auth"},
+            },
+            "timeout": {
+                "type": "number",
+                "description": "Request timeout in seconds",
+                "default": 60,
+            },
+        },
+        "outputs": ["body (response content)", "status_code", "headers"],
+    },
+    "code": {
+        "description": "Execute Python or JavaScript code for custom logic",
+        "required": ["code", "language"],
+        "parameters": {
+            "code": {
+                "type": "string",
+                "description": "Code to execute. Must define a main() function that returns a dict.",
+            },
+            "language": {
+                "type": "enum",
+                "options": ["python3", "javascript"],
+            },
+            "variables": {
+                "type": "array",
+                "description": "Input variables passed to the code",
+                "item_schema": {"variable": "string", "value_selector": "array"},
+            },
+            "outputs": {
+                "type": "object",
+                "description": "Output variable definitions",
+            },
+        },
+        "outputs": ["Variables defined in outputs schema"],
+    },
+    "llm": {
+        "description": "Call a large language model for text generation/processing",
+        "required": ["prompt_template"],
+        "parameters": {
+            "model": {
+                "type": "object",
+                "description": "Model configuration (provider, name, mode)",
+            },
+            "prompt_template": {
+                "type": "array",
+                "description": "Messages for the LLM",
+                "item_schema": {
+                    "role": "enum: system, user, assistant",
+                    "text": "string - message content, can include {{#node_id.field#}} references",
+                },
+            },
+            "context": {
+                "type": "object",
+                "description": "Optional context settings",
+            },
+            "memory": {
+                "type": "object",
+                "description": "Optional memory/conversation settings",
+            },
+        },
+        "outputs": ["text (generated response)"],
+    },
+    "if-else": {
+        "description": "Conditional branching based on conditions",
+        "required": ["cases"],
+        "parameters": {
+            "cases": {
+                "type": "array",
+                "description": "List of condition cases. Each case defines when 'true' branch is taken.",
+                "item_schema": {
+                    "case_id": "string - unique case identifier (e.g., 'case_1')",
+                    "logical_operator": "enum: and, or - how multiple conditions combine",
+                    "conditions": {
+                        "type": "array",
+                        "item_schema": {
+                            "variable_selector": "array of strings - path to variable, e.g. ['node_id', 'field']",
+                            "comparison_operator": (
+                                "enum: =, ≠, >, <, ≥, ≤, contains, not contains, is, is not, empty, not empty"
+                            ),
+                            "value": "string or number - value to compare against",
+                        },
+                    },
+                },
+            },
+        },
+        "outputs": ["Branches: true (first case conditions met), false (else/no case matched)"],
+    },
+    "knowledge-retrieval": {
+        "description": "Query knowledge base for relevant content",
+        "required": ["query_variable_selector", "dataset_ids"],
+        "parameters": {
+            "query_variable_selector": {
+                "type": "array",
+                "description": "Path to query variable, e.g. ['start', 'query']",
+            },
+            "dataset_ids": {
+                "type": "array",
+                "description": "List of knowledge base IDs to search",
+            },
+            "retrieval_mode": {
+                "type": "enum",
+                "options": ["single", "multiple"],
+            },
+        },
+        "outputs": ["result (retrieved documents)"],
+    },
+    "template-transform": {
+        "description": "Transform data using Jinja2 templates",
+        "required": ["template", "variables"],
+        "parameters": {
+            "template": {
+                "type": "string",
+                "description": "Jinja2 template string. Use {{ variable_name }} to reference variables.",
+            },
+            "variables": {
+                "type": "array",
+                "description": "Input variables defined for the template",
+                "item_schema": {
+                    "variable": "string - variable name to use in template",
+                    "value_selector": "array - path to source value, e.g. ['start', 'user_input']",
+                },
+            },
+        },
+        "outputs": ["output (transformed string)"],
+    },
+    "variable-aggregator": {
+        "description": "Aggregate variables from multiple branches",
+        "required": ["variables"],
+        "parameters": {
+            "variables": {
+                "type": "array",
+                "description": "List of variable selectors to aggregate",
+                "item_schema": "array of strings - path to source variable, e.g. ['node_id', 'field']",
+            },
+        },
+        "outputs": ["output (aggregated value)"],
+    },
+    "iteration": {
+        "description": "Loop over array items",
+        "required": ["iterator_selector"],
+        "parameters": {
+            "iterator_selector": {
+                "type": "array",
+                "description": "Path to array variable to iterate",
+            },
+        },
+        "outputs": ["item (current iteration item)", "index (current index)"],
+    },
+    "parameter-extractor": {
+        "description": "Extract structured parameters from user input using LLM",
+        "required": ["query", "parameters"],
+        "parameters": {
+            "model": {
+                "type": "object",
+                "description": "Model configuration (provider, name, mode)",
+            },
+            "query": {
+                "type": "array",
+                "description": "Path to input text to extract parameters from, e.g. ['start', 'user_input']",
+            },
+            "parameters": {
+                "type": "array",
+                "description": "Parameters to extract from the input",
+                "item_schema": {
+                    "name": "string - parameter name (required)",
+                    "type": (
+                        "enum: string, number, boolean, array[string], array[number], array[object], array[boolean]"
+                    ),
+                    "description": "string - description of what to extract (required)",
+                    "required": "boolean - whether this parameter is required (MUST be specified)",
+                    "options": "array of strings (optional) - for enum-like selection",
+                },
+            },
+            "instruction": {
+                "type": "string",
+                "description": "Additional instructions for extraction",
+            },
+            "reasoning_mode": {
+                "type": "enum",
+                "options": ["function_call", "prompt"],
+                "description": "How to perform extraction (defaults to function_call)",
+            },
+        },
+        "outputs": ["Extracted parameters as defined in parameters array", "__is_success", "__reason"],
+    },
+    "question-classifier": {
+        "description": "Classify user input into predefined categories using LLM",
+        "required": ["query", "classes"],
+        "parameters": {
+            "model": {
+                "type": "object",
+                "description": "Model configuration (provider, name, mode)",
+            },
+            "query": {
+                "type": "array",
+                "description": "Path to input text to classify, e.g. ['start', 'user_input']",
+            },
+            "classes": {
+                "type": "array",
+                "description": "Classification categories",
+                "item_schema": {
+                    "id": "string - unique class identifier",
+                    "name": "string - class name/label",
+                },
+            },
+            "instruction": {
+                "type": "string",
+                "description": "Additional instructions for classification",
+            },
+        },
+        "outputs": ["class_name (selected class)"],
+    },
+}
+
+
+def _get_dynamic_schemas() -> dict[str, dict[str, Any]]:
+    """
+    Dynamically load schemas from node classes.
+    Uses lazy import to avoid circular dependency.
+    """
+    from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING
+
+    schemas = {}
+    for node_type, version_map in NODE_TYPE_CLASSES_MAPPING.items():
+        # Get the latest version class
+        node_cls = version_map.get(LATEST_VERSION)
+        if not node_cls:
+            continue
+
+        # Get schema from the class
+        schema = node_cls.get_default_config_schema()
+        if schema:
+            schemas[node_type.value] = schema
+
+    return schemas
+
+
+# Cache for built-in schemas (populated on first access)
+_builtin_schemas_cache: dict[str, dict[str, Any]] | None = None
+
+
+def get_builtin_node_schemas() -> dict[str, dict[str, Any]]:
+    """
+    Get the complete set of built-in node schemas.
+    Combines hardcoded schemas with dynamically loaded ones.
+    Results are cached after first call.
+    """
+    global _builtin_schemas_cache
+    if _builtin_schemas_cache is None:
+        _builtin_schemas_cache = {**_HARDCODED_SCHEMAS, **_get_dynamic_schemas()}
+    return _builtin_schemas_cache
+
+
+# For backward compatibility - but use get_builtin_node_schemas() for lazy loading
+BUILTIN_NODE_SCHEMAS: dict[str, dict[str, Any]] = _HARDCODED_SCHEMAS.copy()
+
+
+# =============================================================================
+# FALLBACK RULES
+# =============================================================================
+
+# Keyword rules for smart fallback detection
+# Maps node type to keywords that suggest using that node type as a fallback
+FALLBACK_RULES: dict[str, list[str]] = {
+    "http-request": [
+        "http",
+        "url",
+        "web",
+        "scrape",
+        "scraper",
+        "fetch",
+        "api",
+        "request",
+        "download",
+        "upload",
+        "webhook",
+        "endpoint",
+        "rest",
+        "get",
+        "post",
+    ],
+    "code": [
+        "code",
+        "script",
+        "calculate",
+        "compute",
+        "process",
+        "transform",
+        "parse",
+        "convert",
+        "format",
+        "filter",
+        "sort",
+        "math",
+        "logic",
+    ],
+    "llm": [
+        "analyze",
+        "summarize",
+        "summary",
+        "extract",
+        "classify",
+        "translate",
+        "generate",
+        "write",
+        "rewrite",
+        "explain",
+        "answer",
+        "chat",
+    ],
+}
+
+
+# =============================================================================
+# NODE TYPE ALIASES
+# =============================================================================
+
+# Node type aliases for inference from natural language
+# Maps common terms to canonical node type names
+NODE_TYPE_ALIASES: dict[str, str] = {
+    # Start node aliases
+    "start": "start",
+    "begin": "start",
+    "input": "start",
+    # End node aliases
+    "end": "end",
+    "finish": "end",
+    "output": "end",
+    # LLM node aliases
+    "llm": "llm",
+    "ai": "llm",
+    "gpt": "llm",
+    "model": "llm",
+    "chat": "llm",
+    # Code node aliases
+    "code": "code",
+    "script": "code",
+    "python": "code",
+    "javascript": "code",
+    # HTTP request node aliases
+    "http-request": "http-request",
+    "http": "http-request",
+    "request": "http-request",
+    "api": "http-request",
+    "fetch": "http-request",
+    "webhook": "http-request",
+    # Conditional node aliases
+    "if-else": "if-else",
+    "condition": "if-else",
+    "branch": "if-else",
+    "switch": "if-else",
+    # Loop node aliases
+    "iteration": "iteration",
+    "loop": "loop",
+    "foreach": "iteration",
+    # Tool node alias
+    "tool": "tool",
+}
+
+
+# =============================================================================
+# FIELD NAME CORRECTIONS
+# =============================================================================
+
+# Field name corrections for LLM-generated node configs
+# Maps incorrect field names to correct ones for specific node types
+FIELD_NAME_CORRECTIONS: dict[str, dict[str, str]] = {
+    "http-request": {
+        "text": "body",  # LLM might use "text" instead of "body"
+        "content": "body",
+        "response": "body",
+    },
+    "code": {
+        "text": "result",  # LLM might use "text" instead of "result"
+        "output": "result",
+    },
+    "llm": {
+        "response": "text",
+        "answer": "text",
+    },
+}
+
+
+def get_corrected_field_name(node_type: str, field: str) -> str:
+    """
+    Get the corrected field name for a node type.
+
+    Args:
+        node_type: The type of the node (e.g., "http-request", "code")
+        field: The field name to correct
+
+    Returns:
+        The corrected field name, or the original if no correction needed
+    """
+    corrections = FIELD_NAME_CORRECTIONS.get(node_type, {})
+    return corrections.get(field, field)
+
+
+# =============================================================================
+# VALIDATION UTILITIES
+# =============================================================================
+
+# Node types that are internal and don't need schemas for LLM generation
+_INTERNAL_NODE_TYPES: set[str] = {
+    # Internal workflow nodes
+    "answer",  # Internal to chatflow
+    "loop",  # Uses iteration internally
+    "assigner",  # Variable assignment utility
+    "variable-assigner",  # Variable assignment utility
+    "agent",  # Agent node (complex, handled separately)
+    "document-extractor",  # Internal document processing
+    "list-operator",  # Internal list operations
+    # Iteration internal nodes
+    "iteration-start",  # Internal to iteration loop
+    "loop-start",  # Internal to loop
+    "loop-end",  # Internal to loop
+    # Trigger nodes (not user-creatable via LLM)
+    "trigger-plugin",  # Plugin trigger
+    "trigger-schedule",  # Scheduled trigger
+    "trigger-webhook",  # Webhook trigger
+    # Other internal nodes
+    "datasource",  # Data source configuration
+    "human-input",  # Human-in-the-loop node
+    "knowledge-index",  # Knowledge indexing node
+}
+
+
+def validate_node_schemas() -> list[str]:
+    """
+    Validate that all registered node types have corresponding schemas.
+
+    This function checks if BUILTIN_NODE_SCHEMAS covers all node types
+    registered in NODE_TYPE_CLASSES_MAPPING, excluding internal node types.
+
+    Returns:
+        List of warning messages for missing schemas (empty if all valid)
+    """
+    from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
+
+    schemas = get_builtin_node_schemas()
+    warnings = []
+    for node_type in NODE_TYPE_CLASSES_MAPPING:
+        type_value = node_type.value
+        if type_value in _INTERNAL_NODE_TYPES:
+            continue
+        if type_value not in schemas:
+            warnings.append(f"Missing schema for node type: {type_value}")
+    return warnings

api/core/workflow/generator/config/responses.py

@@ -0,0 +1,72 @@
+"""
+Response Templates for Vibe Workflow Generation.
+
+This module defines templates for off-topic responses and default suggestions
+to guide users back to workflow-related requests.
+"""
+
+# Off-topic response templates for different categories
+# Each category has messages in multiple languages
+OFF_TOPIC_RESPONSES: dict[str, dict[str, str]] = {
+    "weather": {
+        "en": (
+            "I'm the workflow design assistant - I can't check the weather, "
+            "but I can help you build AI workflows! For example, I could help you "
+            "create a workflow that fetches weather data from an API."
+        ),
+        "zh": "我是工作流设计助手，无法查询天气。但我可以帮你创建一个从API获取天气数据的工作流！",
+    },
+    "math": {
+        "en": (
+            "I focus on workflow design rather than calculations. However, "
+            "if you need calculations in a workflow, I can help you add a Code node "
+            "that handles math operations!"
+        ),
+        "zh": "我专注于工作流设计而非计算。但如果您需要在工作流中进行计算，我可以帮您添加一个处理数学运算的代码节点！",
+    },
+    "joke": {
+        "en": (
+            "While I'd love to share a laugh, I'm specialized in workflow design. "
+            "How about we create something fun instead - like a workflow that generates jokes using AI?"
+        ),
+        "zh": "虽然我很想讲笑话，但我专门从事工作流设计。不如我们创建一个有趣的东西——比如使用AI生成笑话的工作流？",
+    },
+    "translation": {
+        "en": (
+            "I can't translate directly, but I can help you build a translation workflow! "
+            "Would you like to create one using an LLM node?"
+        ),
+        "zh": "我不能直接翻译，但我可以帮你构建一个翻译工作流！要创建一个使用LLM节点的翻译流程吗？",
+    },
+    "general_coding": {
+        "en": (
+            "I'm specialized in Dify workflow design rather than general coding help. "
+            "But if you want to add code logic to your workflow, I can help you configure a Code node!"
+        ),
+        "zh": (
+            "我专注于Dify工作流设计，而非通用编程帮助。但如果您想在工作流中添加代码逻辑，我可以帮您配置一个代码节点！"
+        ),
+    },
+    "default": {
+        "en": (
+            "I'm the Dify workflow design assistant. I help create AI automation workflows, "
+            "but I can't help with general questions. Would you like to create a workflow instead?"
+        ),
+        "zh": "我是Dify工作流设计助手。我帮助创建AI自动化工作流，但无法回答一般性问题。您想创建一个工作流吗？",
+    },
+}
+
+# Default suggestions for off-topic requests
+# These help guide users towards valid workflow requests
+DEFAULT_SUGGESTIONS: dict[str, list[str]] = {
+    "en": [
+        "Create a chatbot workflow",
+        "Build a document summarization pipeline",
+        "Add email notification to workflow",
+    ],
+    "zh": [
+        "创建一个聊天机器人工作流",
+        "构建文档摘要处理流程",
+        "添加邮件通知到工作流",
+    ],
+}

api/core/workflow/generator/prompts/builder_prompts.py

@@ -0,0 +1,457 @@
+BUILDER_SYSTEM_PROMPT = """<role>
+You are a Workflow Configuration Engineer.
+Your goal is to implement the Architect's plan by generating a precise, runnable Dify Workflow JSON configuration.
+</role>
+
+<language_rules>
+- Detect the language of the user's request automatically (e.g., English, Chinese, Japanese, etc.).
+- Generate ALL node titles, descriptions, and user-facing text in the SAME language as the user's input.
+- If the input language is ambiguous or cannot be determined (e.g. code-only input),
+  use {preferred_language} as the target language.
+</language_rules>
+
+<inputs>
+<plan>
+{plan_context}
+</plan>
+
+<tool_schemas>
+{tool_schemas}
+</tool_schemas>
+
+<node_specs>
+{builtin_node_specs}
+</node_specs>
+
+<available_models>
+{available_models}
+</available_models>
+
+<workflow_context>
+  <existing_nodes>
+{existing_nodes_context}
+  </existing_nodes>
+  <existing_edges>
+{existing_edges_context}
+  </existing_edges>
+  <selected_nodes>
+{selected_nodes_context}
+  </selected_nodes>
+</workflow_context>
+</inputs>
+
+<rules>
+1. **Configuration**:
+   - You MUST fill ALL required parameters for every node.
+   - Use `{{{{#node_id.field#}}}}` syntax to reference outputs from previous nodes in text fields.
+   - For 'start' node, define all necessary user inputs.
+
+2. **Variable References**:
+   - For text fields (like prompts, queries): use string format `{{{{#node_id.field#}}}}`
+   - For 'end' node outputs: use `value_selector` array format `["node_id", "field"]`
+   - Example: to reference 'llm' node's 'text' output in end node, use `["llm", "text"]`
+
+3. **Tools**:
+   - ONLY use the tools listed in `<tool_schemas>`.
+   - If a planned tool is missing from schemas, fallback to `http-request` or `code`.
+
+4. **Model Selection** (CRITICAL):
+   - For LLM, question-classifier, and parameter-extractor nodes, you MUST include a "model" config.
+   - You MUST use ONLY models from the `<available_models>` section above.
+   - Copy the EXACT provider and name values from available_models.
+   - NEVER use openai/gpt-4o, gpt-3.5-turbo, gpt-4, or any other models unless they appear in available_models.
+   - If available_models is empty or shows "No models configured", omit the model config entirely.
+
+5. **Node Specifics**:
+   - For `if-else` comparison_operator, use literal symbols: `≥`, `≤`, `=`, `≠` (NOT `>=` or `==`).
+
+6. **Modification Mode**:
+   - If `<existing_nodes>` contains nodes, you are MODIFYING an existing workflow.
+   - Keep nodes that are NOT mentioned in the user's instruction UNCHANGED.
+   - Only modify/add/remove nodes that the user explicitly requested.
+   - Preserve node IDs for unchanged nodes to maintain connections.
+   - If user says "add X", append new nodes to existing workflow.
+   - If user says "change Y to Z", only modify that specific node.
+   - If user says "remove X", exclude that node from output.
+   
+   **Edge Modification**:
+   - Use `<existing_edges>` to understand current node connections.
+   - If user mentions "fix edge", "connect", "link", or "add connection",
+     review existing_edges and correct missing/wrong connections.
+   - For multi-branch nodes (if-else, question-classifier),
+     ensure EACH branch has proper sourceHandle (e.g., "true"/"false") and target.
+   - Common edge issues to fix:
+     * Missing edge: Two nodes should connect but don't - add the edge
+     * Wrong target: Edge points to wrong node - update the target
+     * Missing sourceHandle: if-else/classifier branches lack sourceHandle - add "true"/"false"
+     * Disconnected nodes: Node has no incoming or outgoing edges - connect it properly
+   - When modifying edges, ensure logical flow makes sense (start → middle → end).
+   - ALWAYS output complete edges array, even if only modifying one edge.
+   
+   **Validation Feedback** (Automatic Retry):
+   - If `<validation_feedback>` is present, you are RETRYING after validation errors.
+   - Focus ONLY on fixing the specific validation issues mentioned.
+   - Keep everything else from the previous attempt UNCHANGED (preserve node IDs, edges, etc).
+   - Common validation issues and fixes:
+     * "Missing required connection" → Add the missing edge
+     * "Invalid node configuration" → Fix the specific node's config section
+     * "Type mismatch in variable reference" → Correct the variable selector path
+     * "Unknown variable" → Update variable reference to existing output
+   - When fixing, make MINIMAL changes to address each specific error.
+
+7. **Output**:
+   - Return ONLY the JSON object with `nodes` and `edges`.
+   - Do NOT generate Mermaid diagrams.
+   - Do NOT generate explanations.
+</rules>
+
+<edge_rules priority="critical">
+**EDGES ARE CRITICAL** - Every node except 'end' MUST have at least one outgoing edge.
+
+1. **Linear Flow**: Simple source -> target connection
+   ```
+   {{"source": "node_a", "target": "node_b"}}
+   ```
+
+2. **question-classifier Branching**: Each class MUST have a separate edge with `sourceHandle` = class `id`
+   - If you define classes: [{{"id": "cls_refund", "name": "Refund"}}, {{"id": "cls_inquiry", "name": "Inquiry"}}]
+   - You MUST create edges:
+     - {{"source": "classifier", "sourceHandle": "cls_refund", "target": "refund_handler"}}
+     - {{"source": "classifier", "sourceHandle": "cls_inquiry", "target": "inquiry_handler"}}
+
+3. **if-else Branching**: MUST have exactly TWO edges with sourceHandle "true" and "false"
+   - {{"source": "condition", "sourceHandle": "true", "target": "true_branch"}}
+   - {{"source": "condition", "sourceHandle": "false", "target": "false_branch"}}
+
+4. **Branch Convergence**: Multiple branches can connect to same downstream node
+   - Both true_branch and false_branch can connect to the same 'end' node
+
+5. **NEVER leave orphan nodes**: Every node must be connected in the graph
+</edge_rules>
+
+<examples>
+<example name="simple_linear">
+```json
+{{
+  "nodes": [
+    {{
+      "id": "start",
+      "type": "start",
+      "title": "Start",
+      "config": {{
+        "variables": [{{"variable": "query", "label": "Query", "type": "text-input"}}]
+      }}
+    }},
+    {{
+      "id": "llm",
+      "type": "llm",
+      "title": "Generate Response",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Answer: {{{{#start.query#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "end",
+      "type": "end",
+      "title": "End",
+      "config": {{
+        "outputs": [
+          {{"variable": "result", "value_selector": ["llm", "text"]}}
+        ]
+      }}
+    }}
+  ],
+  "edges": [
+    {{"source": "start", "target": "llm"}},
+    {{"source": "llm", "target": "end"}}
+  ]
+}}
+```
+</example>
+
+<example name="question_classifier_branching" description="Customer service with intent classification">
+```json
+{{
+  "nodes": [
+    {{
+      "id": "start",
+      "type": "start",
+      "title": "Start",
+      "config": {{
+        "variables": [{{"variable": "user_input", "label": "User Message", "type": "text-input", "required": true}}]
+      }}
+    }},
+    {{
+      "id": "classifier",
+      "type": "question-classifier",
+      "title": "Classify Intent",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "query_variable_selector": ["start", "user_input"],
+        "classes": [
+          {{"id": "cls_refund", "name": "Refund Request"}},
+          {{"id": "cls_inquiry", "name": "Product Inquiry"}},
+          {{"id": "cls_complaint", "name": "Complaint"}},
+          {{"id": "cls_other", "name": "Other"}}
+        ],
+        "instruction": "Classify the user's intent"
+      }}
+    }},
+    {{
+      "id": "handle_refund",
+      "type": "llm",
+      "title": "Handle Refund",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Extract order number and respond: {{{{#start.user_input#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "handle_inquiry",
+      "type": "llm",
+      "title": "Handle Inquiry",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Answer product question: {{{{#start.user_input#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "handle_complaint",
+      "type": "llm",
+      "title": "Handle Complaint",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Respond with empathy: {{{{#start.user_input#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "handle_other",
+      "type": "llm",
+      "title": "Handle Other",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Provide general response: {{{{#start.user_input#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "end",
+      "type": "end",
+      "title": "End",
+      "config": {{
+        "outputs": [{{"variable": "response", "value_selector": ["handle_refund", "text"]}}]
+      }}
+    }}
+  ],
+  "edges": [
+    {{"source": "start", "target": "classifier"}},
+    {{"source": "classifier", "sourceHandle": "cls_refund", "target": "handle_refund"}},
+    {{"source": "classifier", "sourceHandle": "cls_inquiry", "target": "handle_inquiry"}},
+    {{"source": "classifier", "sourceHandle": "cls_complaint", "target": "handle_complaint"}},
+    {{"source": "classifier", "sourceHandle": "cls_other", "target": "handle_other"}},
+    {{"source": "handle_refund", "target": "end"}},
+    {{"source": "handle_inquiry", "target": "end"}},
+    {{"source": "handle_complaint", "target": "end"}},
+    {{"source": "handle_other", "target": "end"}}
+  ]
+}}
+```
+CRITICAL: Notice that each class id (cls_refund, cls_inquiry, etc.) becomes a sourceHandle in the edges!
+</example>
+
+<example name="if_else_branching" description="Conditional logic with if-else">
+```json
+{{
+  "nodes": [
+    {{
+      "id": "start",
+      "type": "start",
+      "title": "Start",
+      "config": {{
+        "variables": [{{"variable": "years", "label": "Years of Experience", "type": "number", "required": true}}]
+      }}
+    }},
+    {{
+      "id": "check_experience",
+      "type": "if-else",
+      "title": "Check Experience",
+      "config": {{
+        "cases": [
+          {{
+            "case_id": "case_1",
+            "logical_operator": "and",
+            "conditions": [
+              {{
+                "variable_selector": ["start", "years"],
+                "comparison_operator": "≥",
+                "value": "3"
+              }}
+            ]
+          }}
+        ]
+      }}
+    }},
+    {{
+      "id": "qualified",
+      "type": "llm",
+      "title": "Qualified Response",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Generate qualified candidate response"}}]
+      }}
+    }},
+    {{
+      "id": "not_qualified",
+      "type": "llm",
+      "title": "Not Qualified Response",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Generate rejection response"}}]
+      }}
+    }},
+    {{
+      "id": "end",
+      "type": "end",
+      "title": "End",
+      "config": {{
+        "outputs": [{{"variable": "result", "value_selector": ["qualified", "text"]}}]
+      }}
+    }}
+  ],
+  "edges": [
+    {{"source": "start", "target": "check_experience"}},
+    {{"source": "check_experience", "sourceHandle": "true", "target": "qualified"}},
+    {{"source": "check_experience", "sourceHandle": "false", "target": "not_qualified"}},
+    {{"source": "qualified", "target": "end"}},
+    {{"source": "not_qualified", "target": "end"}}
+  ]
+}}
+```
+CRITICAL: if-else MUST have exactly two edges with sourceHandle "true" and "false"!
+</example>
+
+<example name="parameter_extractor" description="Extract structured data from text">
+```json
+{{
+  "nodes": [
+    {{
+      "id": "start",
+      "type": "start",
+      "title": "Start",
+      "config": {{
+        "variables": [{{"variable": "resume", "label": "Resume Text", "type": "paragraph", "required": true}}]
+      }}
+    }},
+    {{
+      "id": "extract",
+      "type": "parameter-extractor",
+      "title": "Extract Info",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "query": ["start", "resume"],
+        "parameters": [
+          {{"name": "name", "type": "string", "description": "Candidate name", "required": true}},
+          {{"name": "years", "type": "number", "description": "Years of experience", "required": true}},
+          {{"name": "skills", "type": "array[string]", "description": "List of skills", "required": true}}
+        ],
+        "instruction": "Extract candidate information from resume"
+      }}
+    }},
+    {{
+      "id": "process",
+      "type": "llm",
+      "title": "Process Data",
+      "config": {{
+        "model": {{"provider": "openai", "name": "gpt-4o", "mode": "chat"}},
+        "prompt_template": [{{"role": "user", "text": "Name: {{{{#extract.name#}}}}, Years: {{{{#extract.years#}}}}"}}]
+      }}
+    }},
+    {{
+      "id": "end",
+      "type": "end",
+      "title": "End",
+      "config": {{
+        "outputs": [{{"variable": "result", "value_selector": ["process", "text"]}}]
+      }}
+    }}
+  ],
+  "edges": [
+    {{"source": "start", "target": "extract"}},
+    {{"source": "extract", "target": "process"}},
+    {{"source": "process", "target": "end"}}
+  ]
+}}
+```
+</example>
+</examples>
+
+<edge_checklist>
+Before finalizing, verify:
+1. [ ] Every node (except 'end') has at least one outgoing edge
+2. [ ] 'start' node has exactly one outgoing edge
+3. [ ] 'question-classifier' has one edge per class, each with sourceHandle = class id
+4. [ ] 'if-else' has exactly two edges: sourceHandle "true" and sourceHandle "false"
+5. [ ] All branches eventually connect to 'end' (directly or through other nodes)
+6. [ ] No orphan nodes exist (every node is reachable from 'start')
+</edge_checklist>
+"""
+
+BUILDER_USER_PROMPT = """<instruction>
+{instruction}
+</instruction>
+
+Generate the full workflow configuration now. Pay special attention to:
+1. Creating edges for ALL branches of question-classifier and if-else nodes
+2. Using correct sourceHandle values for branching nodes
+3. Ensuring every node is connected in the graph
+"""
+
+
+def format_existing_nodes(nodes: list[dict] | None) -> str:
+    """Format existing workflow nodes for context."""
+    if not nodes:
+        return "No existing nodes in workflow (creating from scratch)."
+
+    lines = []
+    for node in nodes:
+        node_id = node.get("id", "unknown")
+        node_type = node.get("type", "unknown")
+        title = node.get("title", "Untitled")
+        lines.append(f"- [{node_id}] {title} ({node_type})")
+    return "\n".join(lines)
+
+
+def format_selected_nodes(
+    selected_ids: list[str] | None,
+    existing_nodes: list[dict] | None,
+) -> str:
+    """Format selected nodes for modification context."""
+    if not selected_ids:
+        return "No nodes selected (generating new workflow)."
+
+    node_map = {n.get("id"): n for n in (existing_nodes or [])}
+    lines = []
+    for node_id in selected_ids:
+        if node_id in node_map:
+            node = node_map[node_id]
+            lines.append(f"- [{node_id}] {node.get('title', 'Untitled')} ({node.get('type', 'unknown')})")
+        else:
+            lines.append(f"- [{node_id}] (not found in current workflow)")
+    return "\n".join(lines)
+
+
+def format_existing_edges(edges: list[dict] | None) -> str:
+    """Format existing workflow edges to show connections."""
+    if not edges:
+        return "No existing edges (creating new workflow)."
+
+    lines = []
+    for edge in edges:
+        source = edge.get("source", "unknown")
+        target = edge.get("target", "unknown")
+        source_handle = edge.get("sourceHandle", "")
+        if source_handle:
+            lines.append(f"- {source} ({source_handle}) -> {target}")
+        else:
+            lines.append(f"- {source} -> {target}")
+    return "\n".join(lines)

api/core/workflow/generator/prompts/planner_prompts.py

@@ -0,0 +1,75 @@
+PLANNER_SYSTEM_PROMPT = """<role>
+You are an expert Workflow Architect.
+Your job is to analyze user requests and plan a high-level automation workflow.
+</role>
+
+<task>
+1. **Classify Intent**:
+   - Is the user asking to create an automation/workflow? -> Intent: "generate"
+   - Is it general chat/weather/jokes? -> Intent: "off_topic"
+
+2. **Plan Steps** (if intent is "generate"):
+   - Break down the user's goal into logical steps.
+   - For each step, identify if a specific capability/tool is needed.
+   - Select the MOST RELEVANT tools from the available_tools list.
+   - DO NOT configure parameters yet. Just identify the tool.
+
+3. **Output Format**:
+   Return a JSON object.
+</task>
+
+<available_tools>
+{tools_summary}
+</available_tools>
+
+<response_format>
+If intent is "generate":
+```json
+{{
+  "intent": "generate",
+  "plan_thought": "Brief explanation of the plan...",
+  "steps": [
+    {{ "step": 1, "description": "Fetch data from URL", "tool": "http-request" }},
+    {{ "step": 2, "description": "Summarize content", "tool": "llm" }},
+    {{ "step": 3, "description": "Search for info", "tool": "google_search" }}
+  ],
+  "required_tool_keys": ["google_search"] 
+}}
+```
+(Note: 'http-request', 'llm', 'code' are built-in, you don't need to list them in required_tool_keys,
+only external tools)
+
+If intent is "off_topic":
+```json
+{{
+  "intent": "off_topic",
+  "message": "I can only help you build workflows. Try asking me to 'Create a workflow that...'",
+  "suggestions": ["Scrape a website", "Summarize a PDF"]
+}}
+```
+</response_format>
+"""
+
+PLANNER_USER_PROMPT = """<user_request>
+{instruction}
+</user_request>
+"""
+
+
+def format_tools_for_planner(tools: list[dict]) -> str:
+    """Format tools list for planner (Lightweight: Name + Description only)."""
+    if not tools:
+        return "No external tools available."
+
+    lines = []
+    for t in tools:
+        key = t.get("tool_key") or t.get("tool_name")
+        provider = t.get("provider_id") or t.get("provider", "")
+        desc = t.get("tool_description") or t.get("description", "")
+        label = t.get("tool_label") or key
+
+        # Format: - [provider/key] Label: Description
+        full_key = f"{provider}/{key}" if provider else key
+        lines.append(f"- [{full_key}] {label}: {desc}")
+
+    return "\n".join(lines)

api/core/workflow/generator/runner.py

@@ -0,0 +1,287 @@
+import json
+import logging
+import re
+from collections.abc import Sequence
+
+import json_repair
+
+from core.model_manager import ModelManager
+from core.model_runtime.entities.message_entities import SystemPromptMessage, UserPromptMessage
+from core.model_runtime.entities.model_entities import ModelType
+from core.workflow.generator.prompts.builder_prompts import (
+    BUILDER_SYSTEM_PROMPT,
+    BUILDER_USER_PROMPT,
+    format_existing_edges,
+    format_existing_nodes,
+    format_selected_nodes,
+)
+from core.workflow.generator.prompts.planner_prompts import (
+    PLANNER_SYSTEM_PROMPT,
+    PLANNER_USER_PROMPT,
+    format_tools_for_planner,
+)
+from core.workflow.generator.prompts.vibe_prompts import (
+    format_available_models,
+    format_available_nodes,
+    format_available_tools,
+    parse_vibe_response,
+)
+from core.workflow.generator.utils.mermaid_generator import generate_mermaid
+from core.workflow.generator.utils.workflow_validator import ValidationHint, WorkflowValidator
+
+logger = logging.getLogger(__name__)
+
+
+class WorkflowGenerator:
+    """
+    Refactored Vibe Workflow Generator (Planner-Builder Architecture).
+    Extracts Vibe logic from the monolithic LLMGenerator.
+    """
+
+    @classmethod
+    def generate_workflow_flowchart(
+        cls,
+        tenant_id: str,
+        instruction: str,
+        model_config: dict,
+        available_nodes: Sequence[dict[str, object]] | None = None,
+        existing_nodes: Sequence[dict[str, object]] | None = None,
+        existing_edges: Sequence[dict[str, object]] | None = None,
+        available_tools: Sequence[dict[str, object]] | None = None,
+        selected_node_ids: Sequence[str] | None = None,
+        previous_workflow: dict[str, object] | None = None,
+        regenerate_mode: bool = False,
+        preferred_language: str | None = None,
+        available_models: Sequence[dict[str, object]] | None = None,
+    ):
+        """
+        Generates a Dify Workflow Flowchart from natural language instruction.
+
+        Pipeline:
+        1. Planner: Analyze intent & select tools.
+        2. Context Filter: Filter relevant tools (reduce tokens).
+        3. Builder: Generate node configurations.
+        4. Repair: Fix common node/edge issues (NodeRepair, EdgeRepair).
+        5. Validator: Check for errors & generate friendly hints.
+        6. Renderer: Deterministic Mermaid generation.
+        """
+        model_manager = ModelManager()
+        model_instance = model_manager.get_model_instance(
+            tenant_id=tenant_id,
+            model_type=ModelType.LLM,
+            provider=model_config.get("provider", ""),
+            model=model_config.get("name", ""),
+        )
+        model_parameters = model_config.get("completion_params", {})
+        available_tools_list = list(available_tools) if available_tools else []
+
+        # Check if this is modification mode (user is refining existing workflow)
+        has_existing_nodes = existing_nodes and len(list(existing_nodes)) > 0
+
+        # --- STEP 1: PLANNER (Skip in modification mode) ---
+        if has_existing_nodes:
+            # In modification mode, skip Planner:
+            # - User intent is clear: modify the existing workflow
+            # - Tools are already in use (from existing nodes)
+            # - No need for intent classification or tool selection
+            plan_data = {"intent": "generate", "steps": [], "required_tool_keys": []}
+            filtered_tools = available_tools_list  # Use all available tools
+        else:
+            # In creation mode, run Planner to validate intent and select tools
+            planner_tools_context = format_tools_for_planner(available_tools_list)
+            planner_system = PLANNER_SYSTEM_PROMPT.format(tools_summary=planner_tools_context)
+            planner_user = PLANNER_USER_PROMPT.format(instruction=instruction)
+
+            try:
+                response = model_instance.invoke_llm(
+                    prompt_messages=[
+                        SystemPromptMessage(content=planner_system),
+                        UserPromptMessage(content=planner_user),
+                    ],
+                    model_parameters=model_parameters,
+                    stream=False,
+                )
+                plan_content = response.message.content
+                # Reuse parse_vibe_response logic or simple load
+                plan_data = parse_vibe_response(plan_content)
+            except Exception as e:
+                logger.exception("Planner failed")
+                return {"intent": "error", "error": f"Planning failed: {str(e)}"}
+
+            if plan_data.get("intent") == "off_topic":
+                return {
+                    "intent": "off_topic",
+                    "message": plan_data.get("message", "I can only help with workflow creation."),
+                    "suggestions": plan_data.get("suggestions", []),
+                }
+
+            # --- STEP 2: CONTEXT FILTERING ---
+            required_tools = plan_data.get("required_tool_keys", [])
+
+            filtered_tools = []
+            if required_tools:
+                # Simple linear search (optimized version would use a map)
+                for tool in available_tools_list:
+                    t_key = tool.get("tool_key") or tool.get("tool_name")
+                    provider = tool.get("provider_id") or tool.get("provider")
+                    full_key = f"{provider}/{t_key}" if provider else t_key
+
+                    # Check if this tool is in required list (match either full key or short name)
+                    if t_key in required_tools or full_key in required_tools:
+                        filtered_tools.append(tool)
+            else:
+                # If logic only, no tools needed
+                filtered_tools = []
+
+        # --- STEP 3: BUILDER (with retry loop) ---
+        MAX_GLOBAL_RETRIES = 2  # Total attempts: 1 initial + 1 retry
+
+        workflow_data = None
+        mermaid_code = None
+        all_warnings = []
+        all_fixes = []
+        retry_count = 0
+        validation_hints = []
+
+        for attempt in range(MAX_GLOBAL_RETRIES):
+            retry_count = attempt
+            logger.info("Generation attempt %s/%s", attempt + 1, MAX_GLOBAL_RETRIES)
+
+            # Prepare context
+            tool_schemas = format_available_tools(filtered_tools)
+            node_specs = format_available_nodes(list(available_nodes) if available_nodes else [])
+            existing_nodes_context = format_existing_nodes(list(existing_nodes) if existing_nodes else None)
+            existing_edges_context = format_existing_edges(list(existing_edges) if existing_edges else None)
+            selected_nodes_context = format_selected_nodes(
+                list(selected_node_ids) if selected_node_ids else None, list(existing_nodes) if existing_nodes else None
+            )
+
+            # Build retry context
+            retry_context = ""
+
+            # NOTE: Manual regeneration/refinement mode removed
+            # Only handle automatic retry (validation errors)
+
+            # For automatic retry (validation errors)
+            if attempt > 0 and validation_hints:
+                severe_issues = [h for h in validation_hints if h.severity == "error"]
+                if severe_issues:
+                    retry_context = "\n<validation_feedback>\n"
+                    retry_context += "The previous generation had validation errors:\n"
+                    for idx, hint in enumerate(severe_issues[:5], 1):
+                        retry_context += f"{idx}. {hint.message}\n"
+                    retry_context += "\nPlease fix these specific issues while keeping everything else UNCHANGED.\n"
+                    retry_context += "</validation_feedback>\n"
+
+            builder_system = BUILDER_SYSTEM_PROMPT.format(
+                plan_context=json.dumps(plan_data.get("steps", []), indent=2),
+                tool_schemas=tool_schemas,
+                builtin_node_specs=node_specs,
+                available_models=format_available_models(list(available_models or [])),
+                preferred_language=preferred_language or "English",
+                existing_nodes_context=existing_nodes_context,
+                existing_edges_context=existing_edges_context,
+                selected_nodes_context=selected_nodes_context,
+            )
+            builder_user = BUILDER_USER_PROMPT.format(instruction=instruction) + retry_context
+
+            try:
+                build_res = model_instance.invoke_llm(
+                    prompt_messages=[
+                        SystemPromptMessage(content=builder_system),
+                        UserPromptMessage(content=builder_user),
+                    ],
+                    model_parameters=model_parameters,
+                    stream=False,
+                )
+                # Builder output is raw JSON nodes/edges
+                build_content = build_res.message.content
+                match = re.search(r"```(?:json)?\s*([\s\S]+?)```", build_content)
+                if match:
+                    build_content = match.group(1)
+
+                workflow_data = json_repair.loads(build_content)
+
+                if "nodes" not in workflow_data:
+                    workflow_data["nodes"] = []
+                if "edges" not in workflow_data:
+                    workflow_data["edges"] = []
+
+            except Exception as e:
+                logger.exception("Builder failed on attempt %d", attempt + 1)
+                if attempt == MAX_GLOBAL_RETRIES - 1:
+                    return {"intent": "error", "error": f"Building failed: {str(e)}"}
+                continue  # Try again
+
+            # NOTE: NodeRepair and EdgeRepair have been removed.
+            # Validation will detect structural issues, and LLM will fix them on retry.
+            # This is more accurate because LLM understands the workflow context.
+
+            # --- STEP 4: RENDERER (Generate Mermaid early for validation) ---
+            mermaid_code = generate_mermaid(workflow_data)
+
+            # --- STEP 5: VALIDATOR ---
+            is_valid, validation_hints = WorkflowValidator.validate(workflow_data, available_tools_list)
+
+            # --- STEP 6: GRAPH VALIDATION (structural checks using graph algorithms) ---
+            if attempt < MAX_GLOBAL_RETRIES - 1:
+                try:
+                    from core.workflow.generator.utils.graph_validator import GraphValidator
+
+                    graph_result = GraphValidator.validate(workflow_data)
+
+                    if not graph_result.success:
+                        # Convert graph errors to validation hints
+                        for graph_error in graph_result.errors:
+                            validation_hints.append(
+                                ValidationHint(
+                                    node_id=graph_error.node_id,
+                                    field="edges",
+                                    message=f"[Graph] {graph_error.message}",
+                                    severity="error",
+                                )
+                            )
+                        # Also add warnings (dead ends) as hints
+                        for graph_warning in graph_result.warnings:
+                            validation_hints.append(
+                                ValidationHint(
+                                    node_id=graph_warning.node_id,
+                                    field="edges",
+                                    message=f"[Graph] {graph_warning.message}",
+                                    severity="warning",
+                                )
+                            )
+                except Exception as e:
+                    logger.warning("Graph validation error: %s", e)
+            # Collect all validation warnings
+            all_warnings = [h.message for h in validation_hints]
+
+            # Check if we should retry
+            severe_issues = [h for h in validation_hints if h.severity == "error"]
+
+            if not severe_issues or attempt == MAX_GLOBAL_RETRIES - 1:
+                break
+
+            # Has severe errors and retries remaining - continue to next attempt
+
+        # Collect all validation warnings
+        all_warnings = [h.message for h in validation_hints]
+
+        # Add stability warning (as requested by user)
+        stability_warning = "The generated workflow may require debugging."
+        if preferred_language and preferred_language.startswith("zh"):
+            stability_warning = "生成的 Workflow 可能需要调试。"
+        all_warnings.append(stability_warning)
+
+        return {
+            "intent": "generate",
+            "flowchart": mermaid_code,
+            "nodes": workflow_data["nodes"],
+            "edges": workflow_data["edges"],
+            "message": plan_data.get("plan_thought", "Generated workflow based on your request."),
+            "warnings": all_warnings,
+            "tool_recommendations": [],  # Legacy field
+            "error": "",
+            "fixed_issues": all_fixes,  # Track what was auto-fixed
+            "retry_count": retry_count,  # Track how many retries were needed
+        }

api/core/workflow/generator/types.py

@@ -0,0 +1,217 @@
+"""
+Type definitions for Vibe Workflow Generator.
+
+This module provides:
+- TypedDict classes for lightweight type hints (no runtime overhead)
+- Pydantic models for runtime validation where needed
+
+Usage:
+    # For type hints only (no runtime validation):
+    from core.workflow.generator.types import WorkflowNodeDict, WorkflowEdgeDict
+
+    # For runtime validation:
+    from core.workflow.generator.types import WorkflowNode, WorkflowEdge
+"""
+
+from typing import Any, TypedDict
+
+from pydantic import BaseModel, Field
+
+# ============================================================
+# TypedDict definitions (lightweight, for type hints only)
+# ============================================================
+
+
+class WorkflowNodeDict(TypedDict, total=False):
+    """
+    Workflow node structure (TypedDict for hints).
+
+    Attributes:
+        id: Unique node identifier
+        type: Node type (e.g., "start", "end", "llm", "if-else", "http-request")
+        title: Human-readable node title
+        config: Node-specific configuration
+        data: Additional node data
+    """
+
+    id: str
+    type: str
+    title: str
+    config: dict[str, Any]
+    data: dict[str, Any]
+
+
+class WorkflowEdgeDict(TypedDict, total=False):
+    """
+    Workflow edge structure (TypedDict for hints).
+
+    Attributes:
+        source: Source node ID
+        target: Target node ID
+        sourceHandle: Branch handle for if-else/question-classifier nodes
+    """
+
+    source: str
+    target: str
+    sourceHandle: str
+
+
+class AvailableModelDict(TypedDict):
+    """
+    Available model structure.
+
+    Attributes:
+        provider: Model provider (e.g., "openai", "anthropic")
+        model: Model name (e.g., "gpt-4", "claude-3")
+    """
+
+    provider: str
+    model: str
+
+
+class ToolParameterDict(TypedDict, total=False):
+    """
+    Tool parameter structure.
+
+    Attributes:
+        name: Parameter name
+        type: Parameter type (e.g., "string", "number", "boolean")
+        required: Whether parameter is required
+        human_description: Human-readable description
+        llm_description: LLM-oriented description
+        options: Available options for enum-type parameters
+    """
+
+    name: str
+    type: str
+    required: bool
+    human_description: str | dict[str, str]
+    llm_description: str
+    options: list[Any]
+
+
+class AvailableToolDict(TypedDict, total=False):
+    """
+    Available tool structure.
+
+    Attributes:
+        provider_id: Tool provider ID
+        provider: Tool provider name (alternative to provider_id)
+        tool_key: Unique tool key
+        tool_name: Tool name (alternative to tool_key)
+        tool_description: Tool description
+        description: Alternative description field
+        is_team_authorization: Whether tool is configured/authorized
+        parameters: List of tool parameters
+    """
+
+    provider_id: str
+    provider: str
+    tool_key: str
+    tool_name: str
+    tool_description: str
+    description: str
+    is_team_authorization: bool
+    parameters: list[ToolParameterDict]
+
+
+class WorkflowDataDict(TypedDict, total=False):
+    """
+    Complete workflow data structure.
+
+    Attributes:
+        nodes: List of workflow nodes
+        edges: List of workflow edges
+        warnings: List of warning messages
+    """
+
+    nodes: list[WorkflowNodeDict]
+    edges: list[WorkflowEdgeDict]
+    warnings: list[str]
+
+
+# ============================================================
+# Pydantic models (for runtime validation)
+# ============================================================
+
+
+class WorkflowNode(BaseModel):
+    """
+    Workflow node with runtime validation.
+
+    Use this model when you need to validate node data at runtime.
+    For lightweight type hints without validation, use WorkflowNodeDict.
+    """
+
+    id: str
+    type: str
+    title: str = ""
+    config: dict[str, Any] = Field(default_factory=dict)
+    data: dict[str, Any] = Field(default_factory=dict)
+
+
+class WorkflowEdge(BaseModel):
+    """
+    Workflow edge with runtime validation.
+
+    Use this model when you need to validate edge data at runtime.
+    For lightweight type hints without validation, use WorkflowEdgeDict.
+    """
+
+    source: str
+    target: str
+    sourceHandle: str | None = None
+
+
+class AvailableModel(BaseModel):
+    """
+    Available model with runtime validation.
+
+    Use this model when you need to validate model data at runtime.
+    For lightweight type hints without validation, use AvailableModelDict.
+    """
+
+    provider: str
+    model: str
+
+
+class ToolParameter(BaseModel):
+    """Tool parameter with runtime validation."""
+
+    name: str = ""
+    type: str = "string"
+    required: bool = False
+    human_description: str | dict[str, str] = ""
+    llm_description: str = ""
+    options: list[Any] = Field(default_factory=list)
+
+
+class AvailableTool(BaseModel):
+    """
+    Available tool with runtime validation.
+
+    Use this model when you need to validate tool data at runtime.
+    For lightweight type hints without validation, use AvailableToolDict.
+    """
+
+    provider_id: str = ""
+    provider: str = ""
+    tool_key: str = ""
+    tool_name: str = ""
+    tool_description: str = ""
+    description: str = ""
+    is_team_authorization: bool = False
+    parameters: list[ToolParameter] = Field(default_factory=list)
+
+
+class WorkflowData(BaseModel):
+    """
+    Complete workflow data with runtime validation.
+
+    Use this model when you need to validate workflow data at runtime.
+    For lightweight type hints without validation, use WorkflowDataDict.
+    """
+
+    nodes: list[WorkflowNode] = Field(default_factory=list)
+    edges: list[WorkflowEdge] = Field(default_factory=list)
+    warnings: list[str] = Field(default_factory=list)

api/core/workflow/generator/utils/edge_repair.py

@@ -0,0 +1,384 @@
+"""
+Edge Repair Utility for Vibe Workflow Generation.
+
+This module provides intelligent edge repair capabilities for generated workflows.
+It can detect and fix common edge issues:
+- Missing edges between sequential nodes
+- Incomplete branches for question-classifier and if-else nodes
+- Orphaned nodes without connections
+
+The repair logic is deterministic and doesn't require LLM calls.
+"""
+
+import logging
+from dataclasses import dataclass, field
+
+from core.workflow.generator.types import WorkflowDataDict, WorkflowEdgeDict, WorkflowNodeDict
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class RepairResult:
+    """Result of edge repair operation."""
+
+    nodes: list[WorkflowNodeDict]
+    edges: list[WorkflowEdgeDict]
+    repairs_made: list[str] = field(default_factory=list)
+    warnings: list[str] = field(default_factory=list)
+
+    @property
+    def was_repaired(self) -> bool:
+        """Check if any repairs were made."""
+        return len(self.repairs_made) > 0
+
+
+class EdgeRepair:
+    """
+    Intelligent edge repair for workflow graphs.
+
+    Repairs are applied in order:
+    1. Infer linear connections from node order (if no edges exist)
+    2. Add missing branch edges for question-classifier
+    3. Add missing branch edges for if-else
+    4. Connect orphaned nodes
+    """
+
+    @classmethod
+    def repair(cls, workflow_data: WorkflowDataDict) -> RepairResult:
+        """
+        Repair edges in the workflow data.
+
+        Args:
+            workflow_data: Dict containing 'nodes' and 'edges'
+
+        Returns:
+            RepairResult with repaired nodes, edges, and repair logs
+        """
+        nodes = list(workflow_data.get("nodes", []))
+        edges = list(workflow_data.get("edges", []))
+        repairs: list[str] = []
+        warnings: list[str] = []
+
+        logger.info("[EDGE REPAIR] Starting repair process for %s nodes, %s edges", len(nodes), len(edges))
+
+        # Build node lookup
+
+        # Build node lookup
+        node_map = {n.get("id"): n for n in nodes if n.get("id")}
+        node_ids = set(node_map.keys())
+
+        # 1. If no edges at all, infer linear chain
+        if not edges and len(nodes) > 1:
+            edges, inferred_repairs = cls._infer_linear_chain(nodes)
+            repairs.extend(inferred_repairs)
+
+        # 2. Build edge index for analysis
+        outgoing_edges: dict[str, list[WorkflowEdgeDict]] = {}
+        incoming_edges: dict[str, list[WorkflowEdgeDict]] = {}
+        for edge in edges:
+            src = edge.get("source")
+            tgt = edge.get("target")
+            if src:
+                outgoing_edges.setdefault(src, []).append(edge)
+            if tgt:
+                incoming_edges.setdefault(tgt, []).append(edge)
+
+        # 3. Repair question-classifier branches
+        for node in nodes:
+            if node.get("type") == "question-classifier":
+                new_edges, branch_repairs, branch_warnings = cls._repair_classifier_branches(
+                    node, edges, outgoing_edges, node_ids
+                )
+                edges.extend(new_edges)
+                repairs.extend(branch_repairs)
+                warnings.extend(branch_warnings)
+                # Update outgoing index
+                for edge in new_edges:
+                    outgoing_edges.setdefault(edge.get("source"), []).append(edge)
+
+        # 4. Repair if-else branches
+        for node in nodes:
+            if node.get("type") == "if-else":
+                new_edges, branch_repairs, branch_warnings = cls._repair_if_else_branches(
+                    node, edges, outgoing_edges, node_ids
+                )
+                edges.extend(new_edges)
+                repairs.extend(branch_repairs)
+                warnings.extend(branch_warnings)
+                # Update outgoing index
+                for edge in new_edges:
+                    outgoing_edges.setdefault(edge.get("source"), []).append(edge)
+
+        # 5. Connect orphaned nodes (nodes with no incoming edge, except start)
+        new_edges, orphan_repairs = cls._connect_orphaned_nodes(nodes, edges, outgoing_edges, incoming_edges)
+        edges.extend(new_edges)
+        repairs.extend(orphan_repairs)
+
+        # 6. Connect nodes with no outgoing edge to 'end' (except end nodes)
+        new_edges, terminal_repairs = cls._connect_terminal_nodes(nodes, edges, outgoing_edges)
+        edges.extend(new_edges)
+        repairs.extend(terminal_repairs)
+
+        if repairs:
+            logger.info("[EDGE REPAIR] Completed with %s repairs:", len(repairs))
+            for i, repair in enumerate(repairs, 1):
+                logger.info("[EDGE REPAIR]   %s. %s", i, repair)
+        else:
+            logger.info("[EDGE REPAIR] Completed - no repairs needed")
+
+        return RepairResult(
+            nodes=nodes,
+            edges=edges,
+            repairs_made=repairs,
+            warnings=warnings,
+        )
+
+    @classmethod
+    def _infer_linear_chain(cls, nodes: list[WorkflowNodeDict]) -> tuple[list[WorkflowEdgeDict], list[str]]:
+        """
+        Infer a linear chain of edges from node order.
+
+        This is used when no edges are provided at all.
+        """
+        edges: list[WorkflowEdgeDict] = []
+        repairs: list[str] = []
+
+        # Filter to get ordered node IDs
+        node_ids = [n.get("id") for n in nodes if n.get("id")]
+
+        if len(node_ids) < 2:
+            return edges, repairs
+
+        # Create edges between consecutive nodes
+        for i in range(len(node_ids) - 1):
+            src = node_ids[i]
+            tgt = node_ids[i + 1]
+            edges.append({"source": src, "target": tgt})
+            repairs.append(f"Inferred edge: {src} -> {tgt}")
+
+        return edges, repairs
+
+    @classmethod
+    def _repair_classifier_branches(
+        cls,
+        node: WorkflowNodeDict,
+        edges: list[WorkflowEdgeDict],
+        outgoing_edges: dict[str, list[WorkflowEdgeDict]],
+        valid_node_ids: set[str],
+    ) -> tuple[list[WorkflowEdgeDict], list[str], list[str]]:
+        """
+        Repair missing branches for question-classifier nodes.
+
+        For each class that doesn't have an edge, create one pointing to 'end'.
+        """
+        new_edges: list[WorkflowEdgeDict] = []
+        repairs: list[str] = []
+        warnings: list[str] = []
+
+        node_id = node.get("id")
+        if not node_id:
+            return new_edges, repairs, warnings
+
+        config = node.get("config", {})
+        classes = config.get("classes", [])
+
+        if not classes:
+            return new_edges, repairs, warnings
+
+        # Get existing sourceHandles for this node
+        existing_handles = set()
+        for edge in outgoing_edges.get(node_id, []):
+            handle = edge.get("sourceHandle")
+            if handle:
+                existing_handles.add(handle)
+
+        # Find 'end' node as default target
+        end_node_id = "end"
+        if "end" not in valid_node_ids:
+            # Try to find an end node
+            for nid in valid_node_ids:
+                if "end" in nid.lower():
+                    end_node_id = nid
+                    break
+
+        # Add missing branches
+        for cls_def in classes:
+            if not isinstance(cls_def, dict):
+                continue
+            cls_id = cls_def.get("id")
+            cls_name = cls_def.get("name", cls_id)
+
+            if cls_id and cls_id not in existing_handles:
+                new_edge = {
+                    "source": node_id,
+                    "sourceHandle": cls_id,
+                    "target": end_node_id,
+                }
+                new_edges.append(new_edge)
+                repairs.append(f"Added missing branch edge for class '{cls_name}' -> {end_node_id}")
+                warnings.append(
+                    f"Auto-connected question-classifier branch '{cls_name}' to '{end_node_id}'. "
+                    "You may want to redirect this to a specific handler node."
+                )
+
+        return new_edges, repairs, warnings
+
+    @classmethod
+    def _repair_if_else_branches(
+        cls,
+        node: WorkflowNodeDict,
+        edges: list[WorkflowEdgeDict],
+        outgoing_edges: dict[str, list[WorkflowEdgeDict]],
+        valid_node_ids: set[str],
+    ) -> tuple[list[WorkflowEdgeDict], list[str], list[str]]:
+        """
+        Repair missing branches for if-else nodes.
+
+        If-else in Dify uses case_id as sourceHandle for each condition,
+        plus 'false' for the else branch.
+        """
+        new_edges: list[WorkflowEdgeDict] = []
+        repairs: list[str] = []
+        warnings: list[str] = []
+
+        node_id = node.get("id")
+        if not node_id:
+            return new_edges, repairs, warnings
+
+        # Get existing sourceHandles
+        existing_handles = set()
+        for edge in outgoing_edges.get(node_id, []):
+            handle = edge.get("sourceHandle")
+            if handle:
+                existing_handles.add(handle)
+
+        # Find 'end' node as default target
+        end_node_id = "end"
+        if "end" not in valid_node_ids:
+            for nid in valid_node_ids:
+                if "end" in nid.lower():
+                    end_node_id = nid
+                    break
+
+        # Get required branches from config
+        config = node.get("config", {})
+        cases = config.get("cases", [])
+
+        # Build required handles: each case_id + 'false' for else
+        required_branches = set()
+        for case in cases:
+            case_id = case.get("case_id")
+            if case_id:
+                required_branches.add(case_id)
+        required_branches.add("false")  # else branch
+
+        # Add missing branches
+        for branch in required_branches:
+            if branch not in existing_handles:
+                new_edge = {
+                    "source": node_id,
+                    "sourceHandle": branch,
+                    "target": end_node_id,
+                }
+                new_edges.append(new_edge)
+                repairs.append(f"Added missing if-else branch '{branch}' -> {end_node_id}")
+                warnings.append(
+                    f"Auto-connected if-else branch '{branch}' to '{end_node_id}'. "
+                    "You may want to redirect this to a specific handler node."
+                )
+
+        return new_edges, repairs, warnings
+
+    @classmethod
+    def _connect_orphaned_nodes(
+        cls,
+        nodes: list[WorkflowNodeDict],
+        edges: list[WorkflowEdgeDict],
+        outgoing_edges: dict[str, list[WorkflowEdgeDict]],
+        incoming_edges: dict[str, list[WorkflowEdgeDict]],
+    ) -> tuple[list[WorkflowEdgeDict], list[str]]:
+        """
+        Connect orphaned nodes to the previous node in sequence.
+
+        An orphaned node has no incoming edges and is not a 'start' node.
+        """
+        new_edges: list[WorkflowEdgeDict] = []
+        repairs: list[str] = []
+
+        node_ids = [n.get("id") for n in nodes if n.get("id")]
+        node_types = {n.get("id"): n.get("type") for n in nodes}
+
+        for i, node_id in enumerate(node_ids):
+            node_type = node_types.get(node_id)
+
+            # Skip start nodes - they don't need incoming edges
+            if node_type == "start":
+                continue
+
+            # Check if node has incoming edges
+            if node_id not in incoming_edges or not incoming_edges[node_id]:
+                # Find previous node to connect from
+                if i > 0:
+                    prev_node_id = node_ids[i - 1]
+                    new_edge = {"source": prev_node_id, "target": node_id}
+                    new_edges.append(new_edge)
+                    repairs.append(f"Connected orphaned node: {prev_node_id} -> {node_id}")
+
+                    # Update incoming_edges for subsequent checks
+                    incoming_edges.setdefault(node_id, []).append(new_edge)
+
+        return new_edges, repairs
+
+    @classmethod
+    def _connect_terminal_nodes(
+        cls,
+        nodes: list[WorkflowNodeDict],
+        edges: list[WorkflowEdgeDict],
+        outgoing_edges: dict[str, list[WorkflowEdgeDict]],
+    ) -> tuple[list[WorkflowEdgeDict], list[str]]:
+        """
+        Connect terminal nodes (no outgoing edges) to 'end'.
+
+        A terminal node has no outgoing edges and is not an 'end' node.
+        This ensures all branches eventually reach 'end'.
+        """
+        new_edges: list[WorkflowEdgeDict] = []
+        repairs: list[str] = []
+
+        # Find end node
+        end_node_id = None
+        node_ids = set()
+        for n in nodes:
+            nid = n.get("id")
+            ntype = n.get("type")
+            if nid:
+                node_ids.add(nid)
+            if ntype == "end":
+                end_node_id = nid
+
+        if not end_node_id:
+            # No end node found, can't connect
+            return new_edges, repairs
+
+        for node in nodes:
+            node_id = node.get("id")
+            node_type = node.get("type")
+
+            # Skip end nodes
+            if node_type == "end":
+                continue
+
+            # Skip nodes that already have outgoing edges
+            if outgoing_edges.get(node_id):
+                continue
+
+            # Connect to end
+            new_edge = {"source": node_id, "target": end_node_id}
+            new_edges.append(new_edge)
+            repairs.append(f"Connected terminal node to end: {node_id} -> {end_node_id}")
+
+            # Update for subsequent checks
+            outgoing_edges.setdefault(node_id, []).append(new_edge)
+
+        return new_edges, repairs

api/core/workflow/generator/utils/graph_validator.py

@@ -0,0 +1,280 @@
+"""
+Graph Validator for Workflow Generation
+
+Validates workflow graph structure using graph algorithms:
+- Reachability from start node (BFS)
+- Reachability to end node (reverse BFS)
+- Branch edge validation for if-else and classifier nodes
+"""
+
+import time
+from collections import deque
+from dataclasses import dataclass, field
+
+
+@dataclass
+class GraphError:
+    """Represents a structural error in the workflow graph."""
+
+    node_id: str
+    node_type: str
+    error_type: str  # "unreachable", "dead_end", "cycle", "missing_start", "missing_end"
+    message: str
+
+
+@dataclass
+class GraphValidationResult:
+    """Result of graph validation."""
+
+    success: bool
+    errors: list[GraphError] = field(default_factory=list)
+    warnings: list[GraphError] = field(default_factory=list)
+    execution_time: float = 0.0
+    stats: dict = field(default_factory=dict)
+
+
+class GraphValidator:
+    """
+    Validates workflow graph structure using proper graph algorithms.
+
+    Performs:
+    1. Forward reachability analysis (BFS from start)
+    2. Backward reachability analysis (reverse BFS from end)
+    3. Branch edge validation for if-else and classifier nodes
+    """
+
+    @staticmethod
+    def _build_adjacency(
+        nodes: dict[str, dict], edges: list[dict]
+    ) -> tuple[dict[str, list[str]], dict[str, list[str]]]:
+        """Build forward and reverse adjacency lists from edges."""
+        outgoing: dict[str, list[str]] = {node_id: [] for node_id in nodes}
+        incoming: dict[str, list[str]] = {node_id: [] for node_id in nodes}
+
+        for edge in edges:
+            source = edge.get("source")
+            target = edge.get("target")
+            if source in outgoing and target in incoming:
+                outgoing[source].append(target)
+                incoming[target].append(source)
+
+        return outgoing, incoming
+
+    @staticmethod
+    def _bfs_reachable(start: str, adjacency: dict[str, list[str]]) -> set[str]:
+        """BFS to find all nodes reachable from start node."""
+        if start not in adjacency:
+            return set()
+
+        visited = set()
+        queue = deque([start])
+        visited.add(start)
+
+        while queue:
+            current = queue.popleft()
+            for neighbor in adjacency.get(current, []):
+                if neighbor not in visited:
+                    visited.add(neighbor)
+                    queue.append(neighbor)
+
+        return visited
+
+    @staticmethod
+    def validate(workflow_data: dict) -> GraphValidationResult:
+        """Validate workflow graph structure."""
+        start_time = time.time()
+        errors: list[GraphError] = []
+        warnings: list[GraphError] = []
+
+        nodes_list = workflow_data.get("nodes", [])
+        edges_list = workflow_data.get("edges", [])
+        nodes = {n["id"]: n for n in nodes_list if n.get("id")}
+
+        # Find start and end nodes
+        start_node_id = None
+        end_node_ids = []
+
+        for node_id, node in nodes.items():
+            node_type = node.get("type")
+            if node_type == "start":
+                start_node_id = node_id
+            elif node_type == "end":
+                end_node_ids.append(node_id)
+
+        # Check start node exists
+        if not start_node_id:
+            errors.append(
+                GraphError(
+                    node_id="workflow",
+                    node_type="workflow",
+                    error_type="missing_start",
+                    message="Workflow has no start node",
+                )
+            )
+
+        # Check end node exists
+        if not end_node_ids:
+            errors.append(
+                GraphError(
+                    node_id="workflow",
+                    node_type="workflow",
+                    error_type="missing_end",
+                    message="Workflow has no end node",
+                )
+            )
+
+        # If missing start or end, can't do reachability analysis
+        if not start_node_id or not end_node_ids:
+            execution_time = time.time() - start_time
+            return GraphValidationResult(
+                success=False,
+                errors=errors,
+                warnings=warnings,
+                execution_time=execution_time,
+                stats={"nodes": len(nodes), "edges": len(edges_list)},
+            )
+
+        # Build adjacency lists
+        outgoing, incoming = GraphValidator._build_adjacency(nodes, edges_list)
+
+        # --- FORWARD REACHABILITY: BFS from start ---
+        reachable_from_start = GraphValidator._bfs_reachable(start_node_id, outgoing)
+
+        # Find unreachable nodes
+        unreachable_nodes = set(nodes.keys()) - reachable_from_start
+        for node_id in unreachable_nodes:
+            node = nodes[node_id]
+            errors.append(
+                GraphError(
+                    node_id=node_id,
+                    node_type=node.get("type", "unknown"),
+                    error_type="unreachable",
+                    message=f"Node '{node_id}' is not reachable from start node",
+                )
+            )
+
+        # --- BACKWARD REACHABILITY: Reverse BFS from end nodes ---
+        can_reach_end: set[str] = set()
+        for end_id in end_node_ids:
+            can_reach_end.update(GraphValidator._bfs_reachable(end_id, incoming))
+
+        # Find dead-end nodes (can't reach any end node)
+        dead_end_nodes = set(nodes.keys()) - can_reach_end
+        for node_id in dead_end_nodes:
+            if node_id in unreachable_nodes:
+                continue
+            node = nodes[node_id]
+            warnings.append(
+                GraphError(
+                    node_id=node_id,
+                    node_type=node.get("type", "unknown"),
+                    error_type="dead_end",
+                    message=f"Node '{node_id}' cannot reach any end node (dead end)",
+                )
+            )
+
+        # --- Start node has outgoing edges? ---
+        if not outgoing.get(start_node_id):
+            errors.append(
+                GraphError(
+                    node_id=start_node_id,
+                    node_type="start",
+                    error_type="disconnected",
+                    message="Start node has no outgoing connections",
+                )
+            )
+
+        # --- End nodes have incoming edges? ---
+        for end_id in end_node_ids:
+            if not incoming.get(end_id):
+                errors.append(
+                    GraphError(
+                        node_id=end_id,
+                        node_type="end",
+                        error_type="disconnected",
+                        message="End node has no incoming connections",
+                    )
+                )
+
+        # --- BRANCH EDGE VALIDATION ---
+        edge_handles: dict[str, set[str]] = {}
+        for edge in edges_list:
+            source = edge.get("source")
+            handle = edge.get("sourceHandle", "")
+            if source:
+                if source not in edge_handles:
+                    edge_handles[source] = set()
+                edge_handles[source].add(handle)
+
+        # Check if-else and question-classifier nodes
+        for node_id, node in nodes.items():
+            node_type = node.get("type")
+
+            if node_type == "if-else":
+                handles = edge_handles.get(node_id, set())
+                config = node.get("config", {})
+                cases = config.get("cases", [])
+
+                required_handles = set()
+                for case in cases:
+                    case_id = case.get("case_id")
+                    if case_id:
+                        required_handles.add(case_id)
+                required_handles.add("false")
+
+                missing = required_handles - handles
+                for handle in missing:
+                    errors.append(
+                        GraphError(
+                            node_id=node_id,
+                            node_type=node_type,
+                            error_type="missing_branch",
+                            message=f"If-else node '{node_id}' missing edge for branch '{handle}'",
+                        )
+                    )
+
+            elif node_type == "question-classifier":
+                handles = edge_handles.get(node_id, set())
+                config = node.get("config", {})
+                classes = config.get("classes", [])
+
+                required_handles = set()
+                for cls in classes:
+                    if isinstance(cls, dict):
+                        cls_id = cls.get("id")
+                        if cls_id:
+                            required_handles.add(cls_id)
+
+                missing = required_handles - handles
+                for handle in missing:
+                    cls_name = handle
+                    for cls in classes:
+                        if isinstance(cls, dict) and cls.get("id") == handle:
+                            cls_name = cls.get("name", handle)
+                            break
+                    errors.append(
+                        GraphError(
+                            node_id=node_id,
+                            node_type=node_type,
+                            error_type="missing_branch",
+                            message=f"Classifier '{node_id}' missing edge for class '{cls_name}'",
+                        )
+                    )
+
+        execution_time = time.time() - start_time
+        success = len(errors) == 0
+
+        return GraphValidationResult(
+            success=success,
+            errors=errors,
+            warnings=warnings,
+            execution_time=execution_time,
+            stats={
+                "nodes": len(nodes),
+                "edges": len(edges_list),
+                "reachable_from_start": len(reachable_from_start),
+                "can_reach_end": len(can_reach_end),
+                "unreachable": len(unreachable_nodes),
+                "dead_ends": len(dead_end_nodes - unreachable_nodes),
+            },
+        )

api/core/workflow/generator/utils/mermaid_generator.py

@@ -0,0 +1,113 @@
+import logging
+
+from core.workflow.generator.types import WorkflowDataDict
+
+logger = logging.getLogger(__name__)
+
+
+def generate_mermaid(workflow_data: WorkflowDataDict) -> str:
+    """
+    Generate a Mermaid flowchart from workflow data consisting of nodes and edges.
+
+    Args:
+        workflow_data: Dict containing 'nodes' (list) and 'edges' (list)
+
+    Returns:
+        String containing the Mermaid flowchart syntax
+    """
+    nodes = workflow_data.get("nodes", [])
+    edges = workflow_data.get("edges", [])
+
+    lines = ["flowchart TD"]
+
+    # 1. Define Nodes
+    # Format: node_id["title<br/>type"] or similar
+    # We will use the Vibe Workflow standard format: id["type=TYPE|title=TITLE"]
+    # Or specifically for tool nodes: id["type=tool|title=TITLE|tool=TOOL_KEY"]
+
+    # Map of original IDs to safe Mermaid IDs
+    id_map = {}
+
+    def get_safe_id(original_id: str) -> str:
+        if original_id == "end":
+            return "end_node"
+        if original_id == "subgraph":
+            return "subgraph_node"
+        # Mermaid IDs should be alphanumeric.
+        # If the ID has special chars, we might need to escape or hash, but Vibe usually generates simple IDs.
+        # We'll trust standard IDs but handle the reserved keyword 'end'.
+        return original_id
+
+    for node in nodes:
+        node_id = node.get("id")
+        if not node_id:
+            continue
+
+        safe_id = get_safe_id(node_id)
+        id_map[node_id] = safe_id
+
+        node_type = node.get("type", "unknown")
+        title = node.get("title", "Untitled")
+
+        # Escape quotes in title
+        safe_title = title.replace('"', "'")
+
+        if node_type == "tool":
+            config = node.get("config", {})
+            # Try multiple fields for tool reference
+            tool_ref = (
+                config.get("tool_key")
+                or config.get("tool")
+                or config.get("tool_name")
+                or node.get("tool_name")
+                or "unknown"
+            )
+            node_def = f'{safe_id}["type={node_type}|title={safe_title}|tool={tool_ref}"]'
+        else:
+            node_def = f'{safe_id}["type={node_type}|title={safe_title}"]'
+
+        lines.append(f"  {node_def}")
+
+    # 2. Define Edges
+    # Format: source --> target
+
+    # Track defined nodes to avoid edge errors
+    defined_node_ids = {n.get("id") for n in nodes if n.get("id")}
+
+    for edge in edges:
+        source = edge.get("source")
+        target = edge.get("target")
+
+        # Skip invalid edges
+        if not source or not target:
+            continue
+
+        if source not in defined_node_ids or target not in defined_node_ids:
+            continue
+
+        safe_source = id_map.get(source, source)
+        safe_target = id_map.get(target, target)
+
+        # Handle conditional branches (true/false) if present
+        # In Dify workflow, sourceHandle is often used for this
+        source_handle = edge.get("sourceHandle")
+        label = ""
+
+        if source_handle == "true":
+            label = "|true|"
+        elif source_handle == "false":
+            label = "|false|"
+        elif source_handle and source_handle != "source":
+            # For question-classifier or other multi-path nodes
+            # Clean up handle for display if needed
+            safe_handle = str(source_handle).replace('"', "'")
+            label = f"|{safe_handle}|"
+
+        edge_line = f"  {safe_source} -->{label} {safe_target}"
+        lines.append(edge_line)
+
+    # Start/End nodes are implicitly handled if they are in the 'nodes' list
+    # If not, we might need to add them, but usually the Builder should produce them.
+
+    result = "\n".join(lines)
+    return result

api/core/workflow/generator/utils/node_repair.py

@@ -0,0 +1,304 @@
+"""
+Node Repair Utility for Vibe Workflow Generation.
+
+This module provides intelligent node configuration repair capabilities.
+It can detect and fix common node configuration issues:
+- Invalid comparison operators in if-else nodes (e.g. '>=' -> '≥')
+"""
+
+import copy
+import logging
+import uuid
+from dataclasses import dataclass, field
+
+from core.workflow.generator.types import WorkflowNodeDict
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class NodeRepairResult:
+    """Result of node repair operation."""
+
+    nodes: list[WorkflowNodeDict]
+    repairs_made: list[str] = field(default_factory=list)
+    warnings: list[str] = field(default_factory=list)
+
+    @property
+    def was_repaired(self) -> bool:
+        """Check if any repairs were made."""
+        return len(self.repairs_made) > 0
+
+
+class NodeRepair:
+    """
+    Intelligent node configuration repair.
+    """
+
+    OPERATOR_MAP = {
+        ">=": "≥",
+        "<=": "≤",
+        "!=": "≠",
+        "==": "=",
+    }
+
+    TYPE_MAPPING = {
+        "json": "object",
+        "dict": "object",
+        "dictionary": "object",
+        "float": "number",
+        "int": "number",
+        "integer": "number",
+        "double": "number",
+        "str": "string",
+        "text": "string",
+        "bool": "boolean",
+        "list": "array[object]",
+        "array": "array[object]",
+    }
+
+    _REPAIR_HANDLERS = {
+        "if-else": "_repair_if_else_operators",
+        "variable-aggregator": "_repair_variable_aggregator_variables",
+        "code": "_repair_code_node_config",
+    }
+
+    @classmethod
+    def repair(
+        cls,
+        nodes: list[WorkflowNodeDict],
+        llm_callback=None,
+    ) -> NodeRepairResult:
+        """
+        Repair node configurations.
+
+        Args:
+            nodes: List of node dictionaries
+            llm_callback: Optional callback(node, issue_desc) -> fixed_config_part
+
+        Returns:
+            NodeRepairResult with repaired nodes and logs
+        """
+        # Deep copy to avoid mutating original
+        nodes = copy.deepcopy(nodes)
+        repairs: list[str] = []
+        warnings: list[str] = []
+
+        logger.info("[NODE REPAIR] Starting repair process for %s nodes", len(nodes))
+
+        for node in nodes:
+            node_type = node.get("type")
+
+            # 1. Rule-based repairs
+            handler_name = cls._REPAIR_HANDLERS.get(node_type)
+            if handler_name:
+                handler = getattr(cls, handler_name)
+                # Check if handler accepts llm_callback (inspect signature or just pass generic kwargs?)
+                # Simplest for now: handlers signature: (node, repairs, llm_callback=None)
+                try:
+                    handler(node, repairs, llm_callback=llm_callback)
+                except TypeError:
+                    # Fallback for handlers that don't accept llm_callback yet
+                    handler(node, repairs)
+
+            # Add other node type repairs here as needed
+
+        if repairs:
+            logger.info("[NODE REPAIR] Completed with %s repairs:", len(repairs))
+            for i, repair in enumerate(repairs, 1):
+                logger.info("[NODE REPAIR]   %s. %s", i, repair)
+        else:
+            logger.info("[NODE REPAIR] Completed - no repairs needed")
+
+        return NodeRepairResult(
+            nodes=nodes,
+            repairs_made=repairs,
+            warnings=warnings,
+        )
+
+    @classmethod
+    def _repair_if_else_operators(cls, node: WorkflowNodeDict, repairs: list[str], **kwargs):
+        """
+        Normalize comparison operators in if-else nodes.
+        And ensure 'id' field exists for cases and conditions (frontend requirement).
+        """
+        node_id = node.get("id", "unknown")
+        config = node.get("config", {})
+        cases = config.get("cases", [])
+
+        for case in cases:
+            # Ensure case_id
+            if "case_id" not in case:
+                case["case_id"] = str(uuid.uuid4())
+                repairs.append(f"Generated missing case_id for case in node '{node_id}'")
+
+            conditions = case.get("conditions", [])
+            for condition in conditions:
+                # Ensure condition id
+                if "id" not in condition:
+                    condition["id"] = str(uuid.uuid4())
+                    # Not logging this repair to avoid clutter, as it's a structural fix
+
+                # Ensure value type (LLM might return int/float, but we need str/bool/list)
+                val = condition.get("value")
+                if isinstance(val, (int, float)) and not isinstance(val, bool):
+                    condition["value"] = str(val)
+                    repairs.append(f"Coerced numeric value to string in node '{node_id}'")
+
+                op = condition.get("comparison_operator")
+                if op in cls.OPERATOR_MAP:
+                    new_op = cls.OPERATOR_MAP[op]
+                    condition["comparison_operator"] = new_op
+                    repairs.append(f"Normalized operator '{op}' to '{new_op}' in node '{node_id}'")
+
+    @classmethod
+    def _repair_variable_aggregator_variables(cls, node: WorkflowNodeDict, repairs: list[str]):
+        """
+        Repair variable-aggregator variables format.
+        Converts dict format to list[list[str]] format.
+        Expected: [["node_id", "field"], ["node_id2", "field2"]]
+        May receive: [{"name": "...", "value_selector": ["node_id", "field"]}, ...]
+        """
+        node_id = node.get("id", "unknown")
+        config = node.get("config", {})
+        variables = config.get("variables", [])
+
+        if not variables:
+            return
+
+        repaired = False
+        repaired_variables = []
+
+        for var in variables:
+            if isinstance(var, dict):
+                # Convert dict format to array format
+                value_selector = var.get("value_selector") or var.get("selector") or var.get("path")
+                if isinstance(value_selector, list) and len(value_selector) > 0:
+                    repaired_variables.append(value_selector)
+                    repaired = True
+                else:
+                    # Try to extract from name field - LLM may generate {"name": "node_id.field"}
+                    name = var.get("name")
+                    if isinstance(name, str) and "." in name:
+                        # Try to parse "node_id.field" format
+                        parts = name.split(".", 1)
+                        if len(parts) == 2:
+                            repaired_variables.append([parts[0], parts[1]])
+                            repaired = True
+                        else:
+                            logger.warning(
+                                "Variable aggregator node '%s' has invalid variable format: %s",
+                                node_id,
+                                var,
+                            )
+                            repaired_variables.append([])  # Empty array as fallback
+                    else:
+                        # If no valid selector or name, skip this variable
+                        logger.warning(
+                            "Variable aggregator node '%s' has invalid variable format: %s",
+                            node_id,
+                            var,
+                        )
+                        # Don't add empty array - skip invalid variables
+            elif isinstance(var, list):
+                # Already in correct format
+                repaired_variables.append(var)
+            else:
+                # Unknown format, skip
+                logger.warning("Variable aggregator node '%s' has unknown variable format: %s", node_id, var)
+                # Don't add empty array - skip invalid variables
+
+        if repaired:
+            config["variables"] = repaired_variables
+            repairs.append(f"Repaired variable-aggregator variables format in node '{node_id}'")
+
+    @classmethod
+    def _repair_code_node_config(cls, node: WorkflowNodeDict, repairs: list[str], llm_callback=None):
+        """
+        Repair code node configuration (outputs and variables).
+        1. Outputs: Converts list format to dict format AND normalizes types.
+        2. Variables: Ensures value_selector exists.
+        """
+        node_id = node.get("id", "unknown")
+        config = node.get("config", {})
+
+        if "variables" not in config:
+            config["variables"] = []
+
+        # --- Repair Variables ---
+        variables = config.get("variables")
+        if isinstance(variables, list):
+            for var in variables:
+                if isinstance(var, dict):
+                    # Ensure value_selector exists (frontend crashes if missing)
+                    if "value_selector" not in var:
+                        var["value_selector"] = []
+                        # Not logging trivial repairs
+
+        # --- Repair Outputs ---
+        outputs = config.get("outputs")
+
+        if not outputs:
+            return
+
+        # Helper to normalize type
+        def normalize_type(t: str) -> str:
+            t_lower = str(t).lower()
+            return cls.TYPE_MAPPING.get(t_lower, t)
+
+        # 1. Handle Dict format (Standard) - Check for invalid types
+        if isinstance(outputs, dict):
+            changed = False
+            for var_name, var_config in outputs.items():
+                if isinstance(var_config, dict):
+                    original_type = var_config.get("type")
+                    if original_type:
+                        new_type = normalize_type(original_type)
+                        if new_type != original_type:
+                            var_config["type"] = new_type
+                            changed = True
+                            repairs.append(
+                                f"Normalized type '{original_type}' to '{new_type}' "
+                                f"for var '{var_name}' in node '{node_id}'"
+                            )
+            return
+
+        # 2. Handle List format (Repair needed)
+        if isinstance(outputs, list):
+            new_outputs = {}
+            for item in outputs:
+                if isinstance(item, dict):
+                    var_name = item.get("variable") or item.get("name")
+                    var_type = item.get("type")
+                    if var_name and var_type:
+                        norm_type = normalize_type(var_type)
+                        new_outputs[var_name] = {"type": norm_type}
+                        if norm_type != var_type:
+                            repairs.append(
+                                f"Normalized type '{var_type}' to '{norm_type}' "
+                                f"during list conversion in node '{node_id}'"
+                            )
+
+            if new_outputs:
+                config["outputs"] = new_outputs
+                repairs.append(f"Repaired code node outputs format in node '{node_id}'")
+            else:
+                # Fallback: Try LLM if available
+                if llm_callback:
+                    try:
+                        # Attempt to fix using LLM
+                        fixed_outputs = llm_callback(
+                            node,
+                            "outputs must be a dictionary like {'var_name': {'type': 'string'}}, "
+                            "but got a list or valid conversion failed.",
+                        )
+                        if isinstance(fixed_outputs, dict) and fixed_outputs:
+                            config["outputs"] = fixed_outputs
+                            repairs.append(f"Repaired code node outputs format using LLM in node '{node_id}'")
+                            return
+                    except Exception as e:
+                        logger.warning("LLM fallback repair failed for node '%s': %s", node_id, e)
+
+                # If conversion/LLM failed, set to empty dict
+                config["outputs"] = {}
+                repairs.append(f"Reset invalid code node outputs to empty dict in node '{node_id}'")

api/core/workflow/generator/utils/workflow_validator.py

@@ -0,0 +1,101 @@
+from dataclasses import dataclass
+
+from core.workflow.generator.types import AvailableModelDict, AvailableToolDict, WorkflowDataDict
+from core.workflow.generator.validation.context import ValidationContext
+from core.workflow.generator.validation.engine import ValidationEngine
+from core.workflow.generator.validation.rules import Severity
+
+
+@dataclass
+class ValidationHint:
+    """Legacy compatibility class for validation hints."""
+
+    node_id: str
+    field: str
+    message: str
+    severity: str  # 'error', 'warning'
+    suggestion: str = None
+    node_type: str = None  # Added for test compatibility
+
+    # Alias for potential old code using 'type' instead of 'severity'
+    @property
+    def type(self) -> str:
+        return self.severity
+
+    @property
+    def element_id(self) -> str:
+        return self.node_id
+
+
+FriendlyHint = ValidationHint  # Alias for backward compatibility
+
+
+class WorkflowValidator:
+    """
+    Validates the generated workflow configuration (nodes and edges).
+    Wraps the new ValidationEngine for backward compatibility.
+    """
+
+    @classmethod
+    def validate(
+        cls,
+        workflow_data: WorkflowDataDict,
+        available_tools: list[AvailableToolDict],
+        available_models: list[AvailableModelDict] | None = None,
+    ) -> tuple[bool, list[ValidationHint]]:
+        """
+        Validate workflow data and return validity status and hints.
+
+        Args:
+            workflow_data: Dict containing 'nodes' and 'edges'
+            available_tools: List of available tool configurations
+            available_models: List of available models (added for Vibe compat)
+
+        Returns:
+            Tuple(max_severity_is_not_error, list_of_hints)
+        """
+        nodes = workflow_data.get("nodes", [])
+        edges = workflow_data.get("edges", [])
+
+        # Create context
+        context = ValidationContext(
+            nodes=nodes,
+            edges=edges,
+            available_models=available_models or [],
+            available_tools=available_tools or [],
+        )
+
+        # Run validation engine
+        engine = ValidationEngine()
+        result = engine.validate(context)
+
+        # Convert engine errors to legacy hints
+        hints: list[ValidationHint] = []
+
+        error_count = 0
+        warning_count = 0
+
+        for error in result.all_errors:
+            # Map severity
+            severity = "error" if error.severity == Severity.ERROR else "warning"
+
+            if severity == "error":
+                error_count += 1
+            else:
+                warning_count += 1
+
+            # Map field from message or details if possible (heuristic)
+            field_name = error.details.get("field", "unknown")
+
+            hints.append(
+                ValidationHint(
+                    node_id=error.node_id,
+                    field=field_name,
+                    message=error.message,
+                    severity=severity,
+                    suggestion=error.fix_hint,
+                    node_type=error.node_type,
+                )
+            )
+
+        return result.is_valid, hints

api/core/workflow/generator/validation/__init__.py

@@ -0,0 +1,42 @@
+"""
+Validation Rule Engine for Vibe Workflow Generation.
+
+This module provides a declarative, schema-based validation system for
+generated workflow nodes. It classifies errors into fixable (LLM can auto-fix)
+and user-required (needs manual intervention) categories.
+
+Usage:
+    from core.workflow.generator.validation import ValidationEngine, ValidationContext
+
+    context = ValidationContext(
+        available_models=[...],
+        available_tools=[...],
+        nodes=[...],
+        edges=[...],
+    )
+    engine = ValidationEngine()
+    result = engine.validate(context)
+
+    # Access classified errors
+    fixable_errors = result.fixable_errors
+    user_required_errors = result.user_required_errors
+"""
+
+from core.workflow.generator.validation.context import ValidationContext
+from core.workflow.generator.validation.engine import ValidationEngine, ValidationResult
+from core.workflow.generator.validation.rules import (
+    RuleCategory,
+    Severity,
+    ValidationError,
+    ValidationRule,
+)
+
+__all__ = [
+    "RuleCategory",
+    "Severity",
+    "ValidationContext",
+    "ValidationEngine",
+    "ValidationError",
+    "ValidationResult",
+    "ValidationRule",
+]

api/core/workflow/generator/validation/context.py

@@ -0,0 +1,115 @@
+"""
+Validation Context for the Rule Engine.
+
+The ValidationContext holds all the data needed for validation:
+- Generated nodes and edges
+- Available models, tools, and datasets
+- Node output schemas for variable reference validation
+"""
+
+from dataclasses import dataclass, field
+
+from core.workflow.generator.types import (
+    AvailableModelDict,
+    AvailableToolDict,
+    WorkflowEdgeDict,
+    WorkflowNodeDict,
+)
+
+
+@dataclass
+class ValidationContext:
+    """
+    Context object containing all data needed for validation.
+
+    This is passed to each validation rule, providing access to:
+    - The nodes being validated
+    - Edge connections between nodes
+    - Available external resources (models, tools)
+    """
+
+    # Generated workflow data
+    nodes: list[WorkflowNodeDict] = field(default_factory=list)
+    edges: list[WorkflowEdgeDict] = field(default_factory=list)
+
+    # Available external resources
+    available_models: list[AvailableModelDict] = field(default_factory=list)
+    available_tools: list[AvailableToolDict] = field(default_factory=list)
+
+    # Cached lookups (populated lazily)
+    _node_map: dict[str, WorkflowNodeDict] | None = field(default=None, repr=False)
+    _model_set: set[tuple[str, str]] | None = field(default=None, repr=False)
+    _tool_set: set[str] | None = field(default=None, repr=False)
+    _configured_tool_set: set[str] | None = field(default=None, repr=False)
+
+    @property
+    def node_map(self) -> dict[str, WorkflowNodeDict]:
+        """Get a map of node_id -> node for quick lookup."""
+        if self._node_map is None:
+            self._node_map = {node.get("id", ""): node for node in self.nodes}
+        return self._node_map
+
+    @property
+    def model_set(self) -> set[tuple[str, str]]:
+        """Get a set of (provider, model_name) tuples for quick lookup."""
+        if self._model_set is None:
+            self._model_set = {(m.get("provider", ""), m.get("model", "")) for m in self.available_models}
+        return self._model_set
+
+    @property
+    def tool_set(self) -> set[str]:
+        """Get a set of all tool keys (both configured and unconfigured)."""
+        if self._tool_set is None:
+            self._tool_set = set()
+            for tool in self.available_tools:
+                provider = tool.get("provider_id") or tool.get("provider", "")
+                tool_key = tool.get("tool_key") or tool.get("tool_name", "")
+                if provider and tool_key:
+                    self._tool_set.add(f"{provider}/{tool_key}")
+                if tool_key:
+                    self._tool_set.add(tool_key)
+        return self._tool_set
+
+    @property
+    def configured_tool_set(self) -> set[str]:
+        """Get a set of configured (authorized) tool keys."""
+        if self._configured_tool_set is None:
+            self._configured_tool_set = set()
+            for tool in self.available_tools:
+                if not tool.get("is_team_authorization", False):
+                    continue
+                provider = tool.get("provider_id") or tool.get("provider", "")
+                tool_key = tool.get("tool_key") or tool.get("tool_name", "")
+                if provider and tool_key:
+                    self._configured_tool_set.add(f"{provider}/{tool_key}")
+                if tool_key:
+                    self._configured_tool_set.add(tool_key)
+        return self._configured_tool_set
+
+    def has_model(self, provider: str, model_name: str) -> bool:
+        """Check if a model is available."""
+        return (provider, model_name) in self.model_set
+
+    def has_tool(self, tool_key: str) -> bool:
+        """Check if a tool exists (configured or not)."""
+        return tool_key in self.tool_set
+
+    def is_tool_configured(self, tool_key: str) -> bool:
+        """Check if a tool is configured and ready to use."""
+        return tool_key in self.configured_tool_set
+
+    def get_node(self, node_id: str) -> WorkflowNodeDict | None:
+        """Get a node by its ID."""
+        return self.node_map.get(node_id)
+
+    def get_node_ids(self) -> set[str]:
+        """Get all node IDs in the workflow."""
+        return set(self.node_map.keys())
+
+    def get_upstream_nodes(self, node_id: str) -> list[str]:
+        """Get IDs of nodes that connect to this node (upstream)."""
+        return [edge.get("source", "") for edge in self.edges if edge.get("target") == node_id]
+
+    def get_downstream_nodes(self, node_id: str) -> list[str]:
+        """Get IDs of nodes that this node connects to (downstream)."""
+        return [edge.get("target", "") for edge in self.edges if edge.get("source") == node_id]

api/core/workflow/generator/validation/engine.py

@@ -0,0 +1,260 @@
+"""
+Validation Engine - Core validation logic.
+
+The ValidationEngine orchestrates rule execution and aggregates results.
+It provides a clean interface for validating workflow nodes.
+"""
+
+import logging
+from dataclasses import dataclass, field
+from typing import Any
+
+from core.workflow.generator.types import (
+    AvailableModelDict,
+    AvailableToolDict,
+    WorkflowEdgeDict,
+    WorkflowNodeDict,
+)
+from core.workflow.generator.validation.context import ValidationContext
+from core.workflow.generator.validation.rules import (
+    RuleCategory,
+    Severity,
+    ValidationError,
+    get_registry,
+)
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class ValidationResult:
+    """
+    Result of validation containing all errors classified by fixability.
+
+    Attributes:
+        all_errors: All validation errors found
+        fixable_errors: Errors that LLM can automatically fix
+        user_required_errors: Errors that require user intervention
+        warnings: Non-blocking warnings
+        stats: Validation statistics
+    """
+
+    all_errors: list[ValidationError] = field(default_factory=list)
+    fixable_errors: list[ValidationError] = field(default_factory=list)
+    user_required_errors: list[ValidationError] = field(default_factory=list)
+    warnings: list[ValidationError] = field(default_factory=list)
+    stats: dict[str, int] = field(default_factory=dict)
+
+    @property
+    def has_errors(self) -> bool:
+        """Check if there are any errors (excluding warnings)."""
+        return len(self.fixable_errors) > 0 or len(self.user_required_errors) > 0
+
+    @property
+    def has_fixable_errors(self) -> bool:
+        """Check if there are fixable errors."""
+        return len(self.fixable_errors) > 0
+
+    @property
+    def is_valid(self) -> bool:
+        """Check if validation passed (no errors, warnings are OK)."""
+        return not self.has_errors
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dictionary for API response."""
+        return {
+            "fixable": [e.to_dict() for e in self.fixable_errors],
+            "user_required": [e.to_dict() for e in self.user_required_errors],
+            "warnings": [e.to_dict() for e in self.warnings],
+            "all_warnings": [e.message for e in self.all_errors],
+            "stats": self.stats,
+        }
+
+    def get_error_messages(self) -> list[str]:
+        """Get all error messages as strings."""
+        return [e.message for e in self.all_errors]
+
+    def get_fixable_by_node(self) -> dict[str, list[ValidationError]]:
+        """Group fixable errors by node ID."""
+        result: dict[str, list[ValidationError]] = {}
+        for error in self.fixable_errors:
+            if error.node_id not in result:
+                result[error.node_id] = []
+            result[error.node_id].append(error)
+        return result
+
+
+class ValidationEngine:
+    """
+    The main validation engine.
+
+    Usage:
+        engine = ValidationEngine()
+        context = ValidationContext(nodes=[...], available_models=[...])
+        result = engine.validate(context)
+    """
+
+    def __init__(self):
+        self._registry = get_registry()
+
+    def validate(self, context: ValidationContext) -> ValidationResult:
+        """
+        Validate all nodes in the context.
+
+        Args:
+            context: ValidationContext with nodes, edges, and available resources
+
+        Returns:
+            ValidationResult with classified errors
+        """
+        result = ValidationResult()
+        stats = {
+            "total_nodes": len(context.nodes),
+            "total_rules_checked": 0,
+            "total_errors": 0,
+            "fixable_count": 0,
+            "user_required_count": 0,
+            "warning_count": 0,
+        }
+
+        # Validate each node
+        for node in context.nodes:
+            node_type = node.get("type", "unknown")
+            node_id = node.get("id", "unknown")
+
+            # Get applicable rules for this node type
+            rules = self._registry.get_rules_for_node(node_type)
+
+            for rule in rules:
+                stats["total_rules_checked"] += 1
+
+                try:
+                    errors = rule.check(node, context)
+                    for error in errors:
+                        result.all_errors.append(error)
+                        stats["total_errors"] += 1
+
+                        # Classify by severity and fixability
+                        if error.severity == Severity.WARNING:
+                            result.warnings.append(error)
+                            stats["warning_count"] += 1
+                        elif error.is_fixable:
+                            result.fixable_errors.append(error)
+                            stats["fixable_count"] += 1
+                        else:
+                            result.user_required_errors.append(error)
+                            stats["user_required_count"] += 1
+
+                except Exception:
+                    logger.exception(
+                        "Rule '%s' failed for node '%s'",
+                        rule.id,
+                        node_id,
+                    )
+                    # Don't let a rule failure break the entire validation
+                    continue
+
+        # Validate edges separately
+        edge_errors = self._validate_edges(context)
+        for error in edge_errors:
+            result.all_errors.append(error)
+            stats["total_errors"] += 1
+            if error.is_fixable:
+                result.fixable_errors.append(error)
+                stats["fixable_count"] += 1
+            else:
+                result.user_required_errors.append(error)
+                stats["user_required_count"] += 1
+
+        result.stats = stats
+
+        return result
+
+    def _validate_edges(self, context: ValidationContext) -> list[ValidationError]:
+        """Validate edge connections."""
+        errors: list[ValidationError] = []
+        valid_node_ids = context.get_node_ids()
+
+        for edge in context.edges:
+            source = edge.get("source", "")
+            target = edge.get("target", "")
+
+            if source and source not in valid_node_ids:
+                errors.append(
+                    ValidationError(
+                        rule_id="edge.source.invalid",
+                        node_id=source,
+                        node_type="edge",
+                        category=RuleCategory.SEMANTIC,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Edge source '{source}' does not exist",
+                        fix_hint="Update edge to reference existing node",
+                    )
+                )
+
+            if target and target not in valid_node_ids:
+                errors.append(
+                    ValidationError(
+                        rule_id="edge.target.invalid",
+                        node_id=target,
+                        node_type="edge",
+                        category=RuleCategory.SEMANTIC,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Edge target '{target}' does not exist",
+                        fix_hint="Update edge to reference existing node",
+                    )
+                )
+
+        return errors
+
+    def validate_single_node(
+        self,
+        node: WorkflowNodeDict,
+        context: ValidationContext,
+    ) -> list[ValidationError]:
+        """
+        Validate a single node.
+
+        Useful for incremental validation when a node is added/modified.
+        """
+        node_type = node.get("type", "unknown")
+        rules = self._registry.get_rules_for_node(node_type)
+
+        errors: list[ValidationError] = []
+        for rule in rules:
+            try:
+                errors.extend(rule.check(node, context))
+            except Exception:
+                logger.exception("Rule '%s' failed", rule.id)
+
+        return errors
+
+
+def validate_nodes(
+    nodes: list[WorkflowNodeDict],
+    edges: list[WorkflowEdgeDict] | None = None,
+    available_models: list[AvailableModelDict] | None = None,
+    available_tools: list[AvailableToolDict] | None = None,
+) -> ValidationResult:
+    """
+    Convenience function to validate nodes without creating engine/context manually.
+
+    Args:
+        nodes: List of workflow nodes to validate
+        edges: Optional list of edges
+        available_models: Optional list of available models
+        available_tools: Optional list of available tools
+
+    Returns:
+        ValidationResult with classified errors
+    """
+    context = ValidationContext(
+        nodes=nodes,
+        edges=edges or [],
+        available_models=available_models or [],
+        available_tools=available_tools or [],
+    )
+    engine = ValidationEngine()
+    return engine.validate(context)

api/core/workflow/generator/validation/rules.py

@@ -0,0 +1,947 @@
+"""
+Validation Rules Definition and Registry.
+
+This module defines:
+- ValidationRule: The rule structure
+- RuleCategory: Categories of validation rules
+- Severity: Error severity levels
+- ValidationError: Error output structure
+- All built-in validation rules
+"""
+
+import re
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import TYPE_CHECKING, Any
+
+from core.workflow.generator.types import WorkflowNodeDict
+
+if TYPE_CHECKING:
+    from core.workflow.generator.validation.context import ValidationContext
+
+
+class RuleCategory(Enum):
+    """Categories of validation rules."""
+
+    STRUCTURE = "structure"  # Field existence, types, formats
+    SEMANTIC = "semantic"  # Variable references, edge connections
+    REFERENCE = "reference"  # External resources (models, tools, datasets)
+
+
+class Severity(Enum):
+    """Severity levels for validation errors."""
+
+    ERROR = "error"  # Must be fixed
+    WARNING = "warning"  # Should be fixed but not blocking
+
+
+@dataclass
+class ValidationError:
+    """
+    Represents a validation error found during rule execution.
+
+    Attributes:
+        rule_id: The ID of the rule that generated this error
+        node_id: The ID of the node with the error
+        node_type: The type of the node
+        category: The rule category
+        severity: Error severity
+        is_fixable: Whether LLM can auto-fix this error
+        message: Human-readable error message
+        fix_hint: Hint for LLM to fix the error
+        details: Additional error details
+    """
+
+    rule_id: str
+    node_id: str
+    node_type: str
+    category: RuleCategory
+    severity: Severity
+    is_fixable: bool
+    message: str
+    fix_hint: str = ""
+    details: dict[str, Any] = field(default_factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to dictionary for API response."""
+        return {
+            "rule_id": self.rule_id,
+            "node_id": self.node_id,
+            "node_type": self.node_type,
+            "category": self.category.value,
+            "severity": self.severity.value,
+            "is_fixable": self.is_fixable,
+            "message": self.message,
+            "fix_hint": self.fix_hint,
+            "details": self.details,
+        }
+
+
+# Type alias for rule check functions
+RuleCheckFn = Callable[
+    [WorkflowNodeDict, "ValidationContext"],
+    list[ValidationError],
+]
+
+
+@dataclass
+class ValidationRule:
+    """
+    A validation rule definition.
+
+    Attributes:
+        id: Unique rule identifier (e.g., "llm.model.required")
+        node_types: List of node types this rule applies to, or ["*"] for all
+        category: The rule category
+        severity: Default severity for errors from this rule
+        is_fixable: Whether errors from this rule can be auto-fixed by LLM
+        check: The validation function
+        description: Human-readable description of what this rule checks
+        fix_hint: Default hint for fixing errors from this rule
+    """
+
+    id: str
+    node_types: list[str]
+    category: RuleCategory
+    severity: Severity
+    is_fixable: bool
+    check: RuleCheckFn
+    description: str = ""
+    fix_hint: str = ""
+
+    def applies_to(self, node_type: str) -> bool:
+        """Check if this rule applies to a given node type."""
+        return "*" in self.node_types or node_type in self.node_types
+
+
+# =============================================================================
+# Rule Registry
+# =============================================================================
+
+
+class RuleRegistry:
+    """
+    Registry for validation rules.
+
+    Rules are registered here and can be retrieved by category or node type.
+    """
+
+    def __init__(self):
+        self._rules: list[ValidationRule] = []
+
+    def register(self, rule: ValidationRule) -> None:
+        """Register a validation rule."""
+        self._rules.append(rule)
+
+    def get_rules_for_node(self, node_type: str) -> list[ValidationRule]:
+        """Get all rules that apply to a given node type."""
+        return [r for r in self._rules if r.applies_to(node_type)]
+
+    def get_rules_by_category(self, category: RuleCategory) -> list[ValidationRule]:
+        """Get all rules in a given category."""
+        return [r for r in self._rules if r.category == category]
+
+    def get_all_rules(self) -> list[ValidationRule]:
+        """Get all registered rules."""
+        return list(self._rules)
+
+
+# Global rule registry instance
+_registry = RuleRegistry()
+
+
+def register_rule(rule: ValidationRule) -> ValidationRule:
+    """Decorator/function to register a rule with the global registry."""
+    _registry.register(rule)
+    return rule
+
+
+def get_registry() -> RuleRegistry:
+    """Get the global rule registry."""
+    return _registry
+
+
+# =============================================================================
+# Helper Functions for Rule Implementations
+# =============================================================================
+
+# Explicit placeholder value defined in prompt contract
+# See: api/core/workflow/generator/prompts/vibe_prompts.py
+PLACEHOLDER_VALUE = "__PLACEHOLDER__"
+
+# Variable reference pattern: {{#node_id.field#}}
+VARIABLE_REF_PATTERN = re.compile(r"\{\{#([^.#]+)\.([^#]+)#\}\}")
+
+
+def is_placeholder(value: Any) -> bool:
+    """Check if a value appears to be a placeholder."""
+    if not isinstance(value, str):
+        return False
+    return value == PLACEHOLDER_VALUE or PLACEHOLDER_VALUE in value
+
+
+def extract_variable_refs(text: str) -> list[tuple[str, str]]:
+    """
+    Extract variable references from text.
+
+    Returns list of (node_id, field_name) tuples.
+    """
+    return VARIABLE_REF_PATTERN.findall(text)
+
+
+def check_required_field(
+    config: dict[str, Any],
+    field_name: str,
+    node_id: str,
+    node_type: str,
+    rule_id: str,
+    fix_hint: str = "",
+) -> ValidationError | None:
+    """Helper to check if a required field exists and is non-empty."""
+    value = config.get(field_name)
+    if value is None or value == "" or (isinstance(value, list) and len(value) == 0):
+        return ValidationError(
+            rule_id=rule_id,
+            node_id=node_id,
+            node_type=node_type,
+            category=RuleCategory.STRUCTURE,
+            severity=Severity.ERROR,
+            is_fixable=True,
+            message=f"Node '{node_id}': missing required field '{field_name}'",
+            fix_hint=fix_hint or f"Add '{field_name}' to the node config",
+        )
+    return None
+
+
+# =============================================================================
+# Structure Rules - Field existence, types, formats
+# =============================================================================
+
+
+def _check_llm_prompt_template(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that LLM node has prompt_template."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    err = check_required_field(
+        config,
+        "prompt_template",
+        node_id,
+        "llm",
+        "llm.prompt_template.required",
+        "Add prompt_template with system and user messages",
+    )
+    if err:
+        errors.append(err)
+
+    return errors
+
+
+def _check_http_request_url(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that http-request node has url and method."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    # Check url
+    url = config.get("url", "")
+    if not url:
+        errors.append(
+            ValidationError(
+                rule_id="http.url.required",
+                node_id=node_id,
+                node_type="http-request",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.ERROR,
+                is_fixable=True,
+                message=f"Node '{node_id}': http-request missing required 'url'",
+                fix_hint="Add url - use {{#start.url#}} or a concrete URL",
+            )
+        )
+    elif is_placeholder(url):
+        errors.append(
+            ValidationError(
+                rule_id="http.url.placeholder",
+                node_id=node_id,
+                node_type="http-request",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.ERROR,
+                is_fixable=True,
+                message=f"Node '{node_id}': url contains placeholder value",
+                fix_hint="Replace placeholder with actual URL or variable reference",
+            )
+        )
+
+    # Check method
+    method = config.get("method", "")
+    if not method:
+        errors.append(
+            ValidationError(
+                rule_id="http.method.required",
+                node_id=node_id,
+                node_type="http-request",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.ERROR,
+                is_fixable=True,
+                message=f"Node '{node_id}': http-request missing 'method'",
+                fix_hint="Add method: GET, POST, PUT, DELETE, or PATCH",
+            )
+        )
+
+    return errors
+
+
+def _check_code_node(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that code node has code and language."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    err = check_required_field(
+        config,
+        "code",
+        node_id,
+        "code",
+        "code.code.required",
+        "Add code with a main() function that returns a dict",
+    )
+    if err:
+        errors.append(err)
+
+    err = check_required_field(
+        config,
+        "language",
+        node_id,
+        "code",
+        "code.language.required",
+        "Add language: python3 or javascript",
+    )
+    if err:
+        errors.append(err)
+
+    return errors
+
+
+def _check_question_classifier(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that question-classifier has classes."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    err = check_required_field(
+        config,
+        "classes",
+        node_id,
+        "question-classifier",
+        "classifier.classes.required",
+        "Add classes array with id and name for each classification",
+    )
+    if err:
+        errors.append(err)
+
+    return errors
+
+
+def _check_parameter_extractor(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that parameter-extractor has parameters and instruction."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    err = check_required_field(
+        config,
+        "parameters",
+        node_id,
+        "parameter-extractor",
+        "extractor.parameters.required",
+        "Add parameters array with name, type, description fields",
+    )
+    if err:
+        errors.append(err)
+    else:
+        # Check individual parameters for required fields
+        parameters = config.get("parameters", [])
+        if isinstance(parameters, list):
+            for i, param in enumerate(parameters):
+                if isinstance(param, dict):
+                    # Check for 'required' field (boolean)
+                    if "required" not in param:
+                        errors.append(
+                            ValidationError(
+                                rule_id="extractor.param.required_field.missing",
+                                node_id=node_id,
+                                node_type="parameter-extractor",
+                                category=RuleCategory.STRUCTURE,
+                                severity=Severity.ERROR,
+                                is_fixable=True,
+                                message=f"Node '{node_id}': parameter[{i}] missing 'required' field",
+                                fix_hint=f"Add 'required': True to parameter '{param.get('name', 'unknown')}'",
+                                details={"param_index": i, "param_name": param.get("name")},
+                            )
+                        )
+
+    # instruction is recommended but not strictly required
+    if not config.get("instruction"):
+        errors.append(
+            ValidationError(
+                rule_id="extractor.instruction.recommended",
+                node_id=node_id,
+                node_type="parameter-extractor",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.WARNING,
+                is_fixable=True,
+                message=f"Node '{node_id}': parameter-extractor should have 'instruction'",
+                fix_hint="Add instruction describing what to extract",
+            )
+        )
+
+    return errors
+
+
+def _check_knowledge_retrieval(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that knowledge-retrieval has dataset_ids."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    dataset_ids = config.get("dataset_ids", [])
+    if not dataset_ids:
+        errors.append(
+            ValidationError(
+                rule_id="knowledge.dataset.required",
+                node_id=node_id,
+                node_type="knowledge-retrieval",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.ERROR,
+                is_fixable=False,  # User must select knowledge base
+                message=f"Node '{node_id}': knowledge-retrieval missing 'dataset_ids'",
+                fix_hint="User must select knowledge bases in the UI",
+            )
+        )
+    else:
+        # Check for placeholder values
+        for ds_id in dataset_ids:
+            if is_placeholder(ds_id):
+                errors.append(
+                    ValidationError(
+                        rule_id="knowledge.dataset.placeholder",
+                        node_id=node_id,
+                        node_type="knowledge-retrieval",
+                        category=RuleCategory.STRUCTURE,
+                        severity=Severity.ERROR,
+                        is_fixable=False,
+                        message=f"Node '{node_id}': dataset_ids contains placeholder",
+                        fix_hint="User must replace placeholder with actual knowledge base ID",
+                        details={"placeholder_value": ds_id},
+                    )
+                )
+                break
+
+    return errors
+
+
+def _check_end_node(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that end node has outputs defined."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    config = node.get("config", {})
+
+    outputs = config.get("outputs", [])
+    if not outputs:
+        errors.append(
+            ValidationError(
+                rule_id="end.outputs.recommended",
+                node_id=node_id,
+                node_type="end",
+                category=RuleCategory.STRUCTURE,
+                severity=Severity.WARNING,
+                is_fixable=True,
+                message="End node should define output variables",
+                fix_hint="Add outputs array with variable and value_selector",
+            )
+        )
+
+    return errors
+
+
+# =============================================================================
+# Semantic Rules - Variable references, edge connections
+# =============================================================================
+
+
+def _check_variable_references(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that variable references point to valid nodes."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    node_type = node.get("type", "unknown")
+    config = node.get("config", {})
+
+    # Get all valid node IDs (including 'start' which is always valid)
+    valid_node_ids = ctx.get_node_ids()
+    valid_node_ids.add("start")
+    valid_node_ids.add("sys")  # System variables
+
+    def check_text_for_refs(text: str, field_path: str) -> None:
+        if not isinstance(text, str):
+            return
+        refs = extract_variable_refs(text)
+        for ref_node_id, ref_field in refs:
+            if ref_node_id not in valid_node_ids:
+                errors.append(
+                    ValidationError(
+                        rule_id="variable.ref.invalid_node",
+                        node_id=node_id,
+                        node_type=node_type,
+                        category=RuleCategory.SEMANTIC,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Node '{node_id}': references non-existent node '{ref_node_id}'",
+                        fix_hint=f"Change {{{{#{ref_node_id}.{ref_field}#}}}} to reference a valid node",
+                        details={"field_path": field_path, "invalid_ref": ref_node_id},
+                    )
+                )
+
+    # Check prompt_template for LLM nodes
+    prompt_template = config.get("prompt_template", [])
+    if isinstance(prompt_template, list):
+        for i, msg in enumerate(prompt_template):
+            if isinstance(msg, dict):
+                text = msg.get("text", "")
+                check_text_for_refs(text, f"prompt_template[{i}].text")
+
+    # Check instruction field
+    instruction = config.get("instruction", "")
+    check_text_for_refs(instruction, "instruction")
+
+    # Check url for http-request
+    url = config.get("url", "")
+    check_text_for_refs(url, "url")
+
+    return errors
+
+
+# NOTE: _check_node_has_outgoing_edge removed - handled by GraphValidator
+
+
+# NOTE: _check_node_has_incoming_edge removed - handled by GraphValidator
+
+
+# NOTE: _check_question_classifier_branches removed - handled by EdgeRepair
+
+
+# NOTE: _check_if_else_branches removed - handled by EdgeRepair
+
+
+def _check_if_else_operators(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that if-else comparison operators are valid."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    node_type = node.get("type", "unknown")
+
+    if node_type != "if-else":
+        return errors
+
+    valid_operators = {
+        "contains",
+        "not contains",
+        "start with",
+        "end with",
+        "is",
+        "is not",
+        "empty",
+        "not empty",
+        "in",
+        "not in",
+        "all of",
+        "=",
+        "≠",
+        ">",
+        "<",
+        "≥",
+        "≤",
+        "null",
+        "not null",
+        "exists",
+        "not exists",
+    }
+
+    config = node.get("config", {})
+    cases = config.get("cases", [])
+
+    for case in cases:
+        conditions = case.get("conditions", [])
+        for condition in conditions:
+            op = condition.get("comparison_operator")
+            if op and op not in valid_operators:
+                errors.append(
+                    ValidationError(
+                        rule_id="ifelse.operator.invalid",
+                        node_id=node_id,
+                        node_type=node_type,
+                        category=RuleCategory.SEMANTIC,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Invalid operator '{op}' in if-else node",
+                        fix_hint=f"Use one of: {', '.join(sorted(valid_operators))}",
+                        details={"invalid_operator": op, "field": "config.cases.conditions.comparison_operator"},
+                    )
+                )
+
+    return errors
+
+
+def _check_edge_targets_exist(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that edge targets reference existing nodes."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    node_type = node.get("type", "unknown")
+
+    valid_node_ids = ctx.get_node_ids()
+
+    # Check all outgoing edges from this node
+    for edge in ctx.edges:
+        if edge.get("source") == node_id:
+            target = edge.get("target")
+            if target and target not in valid_node_ids:
+                errors.append(
+                    ValidationError(
+                        rule_id="edge.target.invalid",
+                        node_id=node_id,
+                        node_type=node_type,
+                        category=RuleCategory.SEMANTIC,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Edge from '{node_id}' targets non-existent node '{target}'",
+                        fix_hint=f"Change edge target from '{target}' to an existing node",
+                        details={"invalid_target": target, "field": "edges"},
+                    )
+                )
+
+    return errors
+
+
+# =============================================================================
+# Reference Rules - External resources (models, tools, datasets)
+# =============================================================================
+
+# Node types that require model configuration
+MODEL_REQUIRED_NODE_TYPES = {"llm", "question-classifier", "parameter-extractor"}
+
+
+def _check_model_config(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that model configuration is valid."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    node_type = node.get("type", "unknown")
+    config = node.get("config", {})
+
+    if node_type not in MODEL_REQUIRED_NODE_TYPES:
+        return errors
+
+    model = config.get("model")
+
+    # Check if model config exists
+    if not model:
+        if ctx.available_models:
+            errors.append(
+                ValidationError(
+                    rule_id="model.required",
+                    node_id=node_id,
+                    node_type=node_type,
+                    category=RuleCategory.REFERENCE,
+                    severity=Severity.ERROR,
+                    is_fixable=True,
+                    message=f"Node '{node_id}' ({node_type}): missing required 'model' configuration",
+                    fix_hint="Add model config using one of the available models",
+                )
+            )
+        else:
+            errors.append(
+                ValidationError(
+                    rule_id="model.no_available",
+                    node_id=node_id,
+                    node_type=node_type,
+                    category=RuleCategory.REFERENCE,
+                    severity=Severity.ERROR,
+                    is_fixable=False,
+                    message=f"Node '{node_id}' ({node_type}): needs model but no models available",
+                    fix_hint="User must configure a model provider first",
+                )
+            )
+        return errors
+
+    # Check if model config is valid
+    if isinstance(model, dict):
+        provider = model.get("provider", "")
+        name = model.get("name", "")
+
+        # Check for placeholder values
+        if is_placeholder(provider) or is_placeholder(name):
+            if ctx.available_models:
+                errors.append(
+                    ValidationError(
+                        rule_id="model.placeholder",
+                        node_id=node_id,
+                        node_type=node_type,
+                        category=RuleCategory.REFERENCE,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Node '{node_id}': model config contains placeholder",
+                        fix_hint="Replace placeholder with actual model from available_models",
+                    )
+                )
+            return errors
+
+        # Check if model exists in available_models
+        if ctx.available_models and provider and name:
+            if not ctx.has_model(provider, name):
+                errors.append(
+                    ValidationError(
+                        rule_id="model.not_found",
+                        node_id=node_id,
+                        node_type=node_type,
+                        category=RuleCategory.REFERENCE,
+                        severity=Severity.ERROR,
+                        is_fixable=True,
+                        message=f"Node '{node_id}': model '{provider}/{name}' not in available models",
+                        fix_hint="Replace with a model from available_models",
+                        details={"provider": provider, "model": name},
+                    )
+                )
+
+    return errors
+
+
+def _check_tool_reference(node: WorkflowNodeDict, ctx: "ValidationContext") -> list[ValidationError]:
+    """Check that tool references are valid and configured."""
+    errors: list[ValidationError] = []
+    node_id = node.get("id", "unknown")
+    node_type = node.get("type", "unknown")
+
+    if node_type != "tool":
+        return errors
+
+    config = node.get("config", {})
+    tool_ref = (
+        config.get("tool_key")
+        or config.get("tool_name")
+        or config.get("provider_id", "") + "/" + config.get("tool_name", "")
+    )
+
+    if not tool_ref:
+        errors.append(
+            ValidationError(
+                rule_id="tool.key.required",
+                node_id=node_id,
+                node_type=node_type,
+                category=RuleCategory.REFERENCE,
+                severity=Severity.ERROR,
+                is_fixable=True,
+                message=f"Node '{node_id}': tool node missing tool_key",
+                fix_hint="Add tool_key from available_tools",
+            )
+        )
+        return errors
+
+    # Check if tool exists
+    if not ctx.has_tool(tool_ref):
+        errors.append(
+            ValidationError(
+                rule_id="tool.not_found",
+                node_id=node_id,
+                node_type=node_type,
+                category=RuleCategory.REFERENCE,
+                severity=Severity.ERROR,
+                is_fixable=True,  # Can be replaced with http-request fallback
+                message=f"Node '{node_id}': tool '{tool_ref}' not found",
+                fix_hint="Use http-request or code node as fallback",
+                details={"tool_ref": tool_ref},
+            )
+        )
+    elif not ctx.is_tool_configured(tool_ref):
+        errors.append(
+            ValidationError(
+                rule_id="tool.not_configured",
+                node_id=node_id,
+                node_type=node_type,
+                category=RuleCategory.REFERENCE,
+                severity=Severity.WARNING,
+                is_fixable=False,  # User needs to configure
+                message=f"Node '{node_id}': tool '{tool_ref}' requires configuration",
+                fix_hint="Configure the tool in Tools settings",
+                details={"tool_ref": tool_ref},
+            )
+        )
+
+    return errors
+
+
+# =============================================================================
+# Register All Rules
+# =============================================================================
+
+# Structure Rules
+register_rule(
+    ValidationRule(
+        id="llm.prompt_template.required",
+        node_types=["llm"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_llm_prompt_template,
+        description="LLM node must have prompt_template",
+        fix_hint="Add prompt_template with system and user messages",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="http.config.required",
+        node_types=["http-request"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_http_request_url,
+        description="HTTP request node must have url and method",
+        fix_hint="Add url and method to config",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="code.config.required",
+        node_types=["code"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_code_node,
+        description="Code node must have code and language",
+        fix_hint="Add code with main() function and language",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="classifier.classes.required",
+        node_types=["question-classifier"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_question_classifier,
+        description="Question classifier must have classes",
+        fix_hint="Add classes array with classification options",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="extractor.config.required",
+        node_types=["parameter-extractor"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_parameter_extractor,
+        description="Parameter extractor must have parameters",
+        fix_hint="Add parameters array",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="knowledge.config.required",
+        node_types=["knowledge-retrieval"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.ERROR,
+        is_fixable=False,
+        check=_check_knowledge_retrieval,
+        description="Knowledge retrieval must have dataset_ids",
+        fix_hint="User must select knowledge base",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="end.outputs.check",
+        node_types=["end"],
+        category=RuleCategory.STRUCTURE,
+        severity=Severity.WARNING,
+        is_fixable=True,
+        check=_check_end_node,
+        description="End node should have outputs",
+        fix_hint="Add outputs array",
+    )
+)
+
+# Semantic Rules
+register_rule(
+    ValidationRule(
+        id="variable.references.valid",
+        node_types=["*"],
+        category=RuleCategory.SEMANTIC,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_variable_references,
+        description="Variable references must point to valid nodes",
+        fix_hint="Fix variable reference to use valid node ID",
+    )
+)
+
+# Edge Validation Rules
+# NOTE: Edge connectivity and branch completeness are now handled by:
+# - GraphValidator (BFS-based reachability analysis)
+# - EdgeRepair (automatic branch edge repair)
+
+register_rule(
+    ValidationRule(
+        id="edge.targets.valid",
+        node_types=["*"],
+        category=RuleCategory.SEMANTIC,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_edge_targets_exist,
+        description="Edge targets must reference existing nodes",
+        fix_hint="Change edge target to an existing node ID",
+    )
+)
+
+# Reference Rules
+register_rule(
+    ValidationRule(
+        id="model.config.valid",
+        node_types=["llm", "question-classifier", "parameter-extractor"],
+        category=RuleCategory.REFERENCE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_model_config,
+        description="Model configuration must be valid",
+        fix_hint="Add valid model from available_models",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="tool.reference.valid",
+        node_types=["tool"],
+        category=RuleCategory.REFERENCE,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_tool_reference,
+        description="Tool reference must be valid and configured",
+        fix_hint="Use valid tool or fallback node",
+    )
+)
+
+register_rule(
+    ValidationRule(
+        id="ifelse.operator.valid",
+        node_types=["if-else"],
+        category=RuleCategory.SEMANTIC,
+        severity=Severity.ERROR,
+        is_fixable=True,
+        check=_check_if_else_operators,
+        description="If-else operators must be valid",
+        fix_hint="Use standard operators like ≥, ≤, =, ≠",
+    )
+)

api/core/workflow/nodes/base/node.py

@@ -197,6 +197,14 @@ class Node(Generic[NodeDataT]):
 
         return None
 
+    @classmethod
+    def get_default_config_schema(cls) -> dict[str, Any] | None:
+        """
+        Get the default configuration schema for the node.
+        Used for LLM generation.
+        """
+        return None
+
     # Global registry populated via __init_subclass__
     _registry: ClassVar[dict["NodeType", dict[str, type["Node"]]]] = {}
 

api/core/workflow/nodes/end/end_node.py

@@ -1,3 +1,5 @@
+from typing import Any
+
 from core.workflow.enums import NodeExecutionType, NodeType, WorkflowNodeExecutionStatus
 from core.workflow.node_events import NodeRunResult
 from core.workflow.nodes.base.node import Node
@@ -9,6 +11,24 @@ class EndNode(Node[EndNodeData]):
     node_type = NodeType.END
     execution_type = NodeExecutionType.RESPONSE
 
+    @classmethod
+    def get_default_config_schema(cls) -> dict[str, Any] | None:
+        return {
+            "description": "Workflow exit point - defines output variables",
+            "required": ["outputs"],
+            "parameters": {
+                "outputs": {
+                    "type": "array",
+                    "description": "Output variables to return",
+                    "item_schema": {
+                        "variable": "string - output variable name",
+                        "type": "enum: string, number, object, array",
+                        "value_selector": "array - path to source value, e.g. ['node_id', 'field']",
+                    },
+                },
+            },
+        }
+
     @classmethod
     def version(cls) -> str:
         return "1"

api/core/workflow/nodes/start/start_node.py

@@ -15,6 +15,27 @@ class StartNode(Node[StartNodeData]):
     node_type = NodeType.START
     execution_type = NodeExecutionType.ROOT
 
+    @classmethod
+    def get_default_config_schema(cls) -> dict[str, Any] | None:
+        return {
+            "description": "Workflow entry point - defines input variables",
+            "required": [],
+            "parameters": {
+                "variables": {
+                    "type": "array",
+                    "description": "Input variables for the workflow",
+                    "item_schema": {
+                        "variable": "string - variable name",
+                        "label": "string - display label",
+                        "type": "enum: text-input, paragraph, number, select, file, file-list",
+                        "required": "boolean",
+                        "max_length": "number (optional)",
+                    },
+                },
+            },
+            "outputs": ["All defined variables are available as {{#start.variable_name#}}"],
+        }
+
     @classmethod
     def version(cls) -> str:
         return "1"

api/core/workflow/nodes/tool/tool_node.py

@@ -50,6 +50,19 @@ class ToolNode(Node[ToolNodeData]):
     def version(cls) -> str:
         return "1"
 
+    @classmethod
+    def get_default_config_schema(cls) -> dict[str, Any] | None:
+        return {
+            "description": "Execute an external tool",
+            "required": ["provider_id", "tool_id", "tool_parameters"],
+            "parameters": {
+                "provider_id": {"type": "string"},
+                "provider_type": {"type": "string"},
+                "tool_id": {"type": "string"},
+                "tool_parameters": {"type": "object"},
+            },
+        }
+
     def _run(self) -> Generator[NodeEventBase, None, None]:
         """
         Run the tool node

api/tests/unit_tests/core/helper/test_ssrf_proxy.py

@@ -107,3 +107,24 @@ def test_host_header_preservation_with_user_header(mock_get_client):
     response = make_request("GET", "http://example.com", headers={"Host": custom_host})
 
     assert response.status_code == 200
+    # Verify build_request was called
+    mock_client.build_request.assert_called_once()
+    # Verify the Host header was set on the request object
+    assert mock_request.headers.get("Host") == custom_host
+    mock_client.send.assert_called_once_with(mock_request, follow_redirects=True)
+
+
+@patch("core.helper.ssrf_proxy._get_ssrf_client")
+@pytest.mark.parametrize("host_key", ["host", "HOST"])
+def test_host_header_preservation_case_insensitive(mock_get_client, host_key):
+    """Test that Host header is preserved regardless of case."""
+    mock_client = MagicMock()
+    mock_request = MagicMock()
+    mock_request.headers = {}
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_client.send.return_value = mock_response
+    mock_client.build_request.return_value = mock_request
+    mock_get_client.return_value = mock_client
+    response = make_request("GET", "http://example.com", headers={host_key: "api.example.com"})
+    assert mock_request.headers.get("Host") == "api.example.com"

api/tests/unit_tests/core/llm_generator/test_mermaid_generator.py

@@ -0,0 +1,287 @@
+"""
+Unit tests for the Mermaid Generator.
+
+Tests cover:
+- Basic workflow rendering
+- Reserved word handling ('end' → 'end_node')
+- Question classifier multi-branch edges
+- If-else branch labels
+- Edge validation and skipping
+- Tool node formatting
+"""
+
+from core.workflow.generator.utils.mermaid_generator import generate_mermaid
+
+
+class TestBasicWorkflow:
+    """Tests for basic workflow Mermaid generation."""
+
+    def test_simple_start_end_workflow(self):
+        """Test simple Start → End workflow."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "title": "Start"},
+                {"id": "end", "type": "end", "title": "End"},
+            ],
+            "edges": [{"source": "start", "target": "end"}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "flowchart TD" in result
+        assert 'start["type=start|title=Start"]' in result
+        assert 'end_node["type=end|title=End"]' in result
+        assert "start --> end_node" in result
+
+    def test_start_llm_end_workflow(self):
+        """Test Start → LLM → End workflow."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "title": "Start"},
+                {"id": "llm", "type": "llm", "title": "Generate"},
+                {"id": "end", "type": "end", "title": "End"},
+            ],
+            "edges": [
+                {"source": "start", "target": "llm"},
+                {"source": "llm", "target": "end"},
+            ],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert 'llm["type=llm|title=Generate"]' in result
+        assert "start --> llm" in result
+        assert "llm --> end_node" in result
+
+    def test_empty_workflow(self):
+        """Test empty workflow returns minimal output."""
+        workflow_data = {"nodes": [], "edges": []}
+        result = generate_mermaid(workflow_data)
+
+        assert result == "flowchart TD"
+
+    def test_missing_keys_handled(self):
+        """Test workflow with missing keys doesn't crash."""
+        workflow_data = {}
+        result = generate_mermaid(workflow_data)
+
+        assert "flowchart TD" in result
+
+
+class TestReservedWords:
+    """Tests for reserved word handling in node IDs."""
+
+    def test_end_node_id_is_replaced(self):
+        """Test 'end' node ID is replaced with 'end_node'."""
+        workflow_data = {
+            "nodes": [{"id": "end", "type": "end", "title": "End"}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Should use end_node instead of end
+        assert "end_node[" in result
+        assert '"type=end|title=End"' in result
+
+    def test_subgraph_node_id_is_replaced(self):
+        """Test 'subgraph' node ID is replaced with 'subgraph_node'."""
+        workflow_data = {
+            "nodes": [{"id": "subgraph", "type": "code", "title": "Process"}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "subgraph_node[" in result
+
+    def test_edge_uses_safe_ids(self):
+        """Test edges correctly reference safe IDs after replacement."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "title": "Start"},
+                {"id": "end", "type": "end", "title": "End"},
+            ],
+            "edges": [{"source": "start", "target": "end"}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Edge should use end_node, not end
+        assert "start --> end_node" in result
+        assert "start --> end\n" not in result
+
+
+class TestBranchEdges:
+    """Tests for branching node edge labels."""
+
+    def test_question_classifier_source_handles(self):
+        """Test question-classifier edges with sourceHandle labels."""
+        workflow_data = {
+            "nodes": [
+                {"id": "classifier", "type": "question-classifier", "title": "Classify"},
+                {"id": "refund", "type": "llm", "title": "Handle Refund"},
+                {"id": "inquiry", "type": "llm", "title": "Handle Inquiry"},
+            ],
+            "edges": [
+                {"source": "classifier", "target": "refund", "sourceHandle": "refund"},
+                {"source": "classifier", "target": "inquiry", "sourceHandle": "inquiry"},
+            ],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "classifier -->|refund| refund" in result
+        assert "classifier -->|inquiry| inquiry" in result
+
+    def test_if_else_true_false_handles(self):
+        """Test if-else edges with true/false labels."""
+        workflow_data = {
+            "nodes": [
+                {"id": "ifelse", "type": "if-else", "title": "Check"},
+                {"id": "yes_branch", "type": "llm", "title": "Yes"},
+                {"id": "no_branch", "type": "llm", "title": "No"},
+            ],
+            "edges": [
+                {"source": "ifelse", "target": "yes_branch", "sourceHandle": "true"},
+                {"source": "ifelse", "target": "no_branch", "sourceHandle": "false"},
+            ],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "ifelse -->|true| yes_branch" in result
+        assert "ifelse -->|false| no_branch" in result
+
+    def test_source_handle_source_is_ignored(self):
+        """Test sourceHandle='source' doesn't add label."""
+        workflow_data = {
+            "nodes": [
+                {"id": "llm1", "type": "llm", "title": "LLM 1"},
+                {"id": "llm2", "type": "llm", "title": "LLM 2"},
+            ],
+            "edges": [{"source": "llm1", "target": "llm2", "sourceHandle": "source"}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Should be plain arrow without label
+        assert "llm1 --> llm2" in result
+        assert "llm1 -->|source|" not in result
+
+
+class TestEdgeValidation:
+    """Tests for edge validation and error handling."""
+
+    def test_edge_with_missing_source_is_skipped(self):
+        """Test edge with non-existent source node is skipped."""
+        workflow_data = {
+            "nodes": [{"id": "end", "type": "end", "title": "End"}],
+            "edges": [{"source": "nonexistent", "target": "end"}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Should not contain the invalid edge
+        assert "nonexistent" not in result
+        assert "-->" not in result or "nonexistent" not in result
+
+    def test_edge_with_missing_target_is_skipped(self):
+        """Test edge with non-existent target node is skipped."""
+        workflow_data = {
+            "nodes": [{"id": "start", "type": "start", "title": "Start"}],
+            "edges": [{"source": "start", "target": "nonexistent"}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Edge should be skipped
+        assert "start --> nonexistent" not in result
+
+    def test_edge_without_source_or_target_is_skipped(self):
+        """Test edge missing source or target is skipped."""
+        workflow_data = {
+            "nodes": [{"id": "start", "type": "start", "title": "Start"}],
+            "edges": [{"source": "start"}, {"target": "start"}, {}],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # No edges should be rendered
+        assert result.count("-->") == 0
+
+
+class TestToolNodes:
+    """Tests for tool node formatting."""
+
+    def test_tool_node_includes_tool_key(self):
+        """Test tool node includes tool_key in label."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "search",
+                    "type": "tool",
+                    "title": "Search",
+                    "config": {"tool_key": "google/search"},
+                }
+            ],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert 'search["type=tool|title=Search|tool=google/search"]' in result
+
+    def test_tool_node_with_tool_name_fallback(self):
+        """Test tool node uses tool_name as fallback."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "tool1",
+                    "type": "tool",
+                    "title": "My Tool",
+                    "config": {"tool_name": "my_tool"},
+                }
+            ],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "tool=my_tool" in result
+
+    def test_tool_node_missing_tool_key_shows_unknown(self):
+        """Test tool node without tool_key shows 'unknown'."""
+        workflow_data = {
+            "nodes": [{"id": "tool1", "type": "tool", "title": "Tool", "config": {}}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "tool=unknown" in result
+
+
+class TestNodeFormatting:
+    """Tests for node label formatting."""
+
+    def test_quotes_in_title_are_escaped(self):
+        """Test double quotes in title are replaced with single quotes."""
+        workflow_data = {
+            "nodes": [{"id": "llm", "type": "llm", "title": 'Say "Hello"'}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Double quotes should be replaced
+        assert "Say 'Hello'" in result
+        assert 'Say "Hello"' not in result
+
+    def test_node_without_id_is_skipped(self):
+        """Test node without id is skipped."""
+        workflow_data = {
+            "nodes": [{"type": "llm", "title": "No ID"}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        # Should only have flowchart header
+        lines = [line for line in result.split("\n") if line.strip()]
+        assert len(lines) == 1
+
+    def test_node_default_values(self):
+        """Test node with missing type/title uses defaults."""
+        workflow_data = {
+            "nodes": [{"id": "node1"}],
+            "edges": [],
+        }
+        result = generate_mermaid(workflow_data)
+
+        assert "type=unknown" in result
+        assert "title=Untitled" in result

api/tests/unit_tests/core/llm_generator/test_node_repair.py

@@ -0,0 +1,81 @@
+from core.workflow.generator.utils.node_repair import NodeRepair
+
+
+class TestNodeRepair:
+    """Tests for NodeRepair utility."""
+
+    def test_repair_if_else_valid_operators(self):
+        """Test that valid operators remain unchanged."""
+        nodes = [
+            {
+                "id": "node1",
+                "type": "if-else",
+                "config": {
+                    "cases": [
+                        {
+                            "conditions": [
+                                {"comparison_operator": "≥", "value": "1"},
+                                {"comparison_operator": "=", "value": "2"},
+                            ]
+                        }
+                    ]
+                },
+            }
+        ]
+        result = NodeRepair.repair(nodes)
+        assert result.was_repaired is False
+        assert result.nodes == nodes
+
+    def test_repair_if_else_invalid_operators(self):
+        """Test that invalid operators are normalized."""
+        nodes = [
+            {
+                "id": "node1",
+                "type": "if-else",
+                "config": {
+                    "cases": [
+                        {
+                            "conditions": [
+                                {"comparison_operator": ">=", "value": "1"},
+                                {"comparison_operator": "<=", "value": "2"},
+                                {"comparison_operator": "!=", "value": "3"},
+                                {"comparison_operator": "==", "value": "4"},
+                            ]
+                        }
+                    ]
+                },
+            }
+        ]
+        result = NodeRepair.repair(nodes)
+        assert result.was_repaired is True
+        assert len(result.repairs_made) == 4
+
+        conditions = result.nodes[0]["config"]["cases"][0]["conditions"]
+        assert conditions[0]["comparison_operator"] == "≥"
+        assert conditions[1]["comparison_operator"] == "≤"
+        assert conditions[2]["comparison_operator"] == "≠"
+        assert conditions[3]["comparison_operator"] == "="
+
+    def test_repair_ignores_other_nodes(self):
+        """Test that other node types are ignored."""
+        nodes = [{"id": "node1", "type": "llm", "config": {"some_field": ">="}}]
+        result = NodeRepair.repair(nodes)
+        assert result.was_repaired is False
+        assert result.nodes[0]["config"]["some_field"] == ">="
+
+    def test_repair_handles_missing_config(self):
+        """Test robustness against missing fields."""
+        nodes = [
+            {
+                "id": "node1",
+                "type": "if-else",
+                # Missing config
+            },
+            {
+                "id": "node2",
+                "type": "if-else",
+                "config": {},  # Missing cases
+            },
+        ]
+        result = NodeRepair.repair(nodes)
+        assert result.was_repaired is False

api/tests/unit_tests/core/llm_generator/test_node_schemas_validation.py

@@ -0,0 +1,99 @@
+"""
+Tests for node schemas validation.
+
+Ensures that the node configuration stays in sync with registered node types.
+"""
+
+from core.workflow.generator.config.node_schemas import (
+    get_builtin_node_schemas,
+    validate_node_schemas,
+)
+
+
+class TestNodeSchemasValidation:
+    """Tests for node schema validation utilities."""
+
+    def test_validate_node_schemas_returns_no_warnings(self):
+        """Ensure all registered node types have corresponding schemas."""
+        warnings = validate_node_schemas()
+        # If this test fails, it means a new node type was added but
+        # no schema was defined for it in node_schemas.py
+        assert len(warnings) == 0, (
+            f"Missing schemas for node types: {warnings}. "
+            "Please add schemas for these node types in node_schemas.py "
+            "or add them to _INTERNAL_NODE_TYPES if they don't need schemas."
+        )
+
+    def test_builtin_node_schemas_not_empty(self):
+        """Ensure BUILTIN_NODE_SCHEMAS contains expected node types."""
+        # get_builtin_node_schemas() includes dynamic schemas
+        all_schemas = get_builtin_node_schemas()
+        assert len(all_schemas) > 0
+        # Core node types should always be present
+        expected_types = ["llm", "code", "http-request", "if-else"]
+        for node_type in expected_types:
+            assert node_type in all_schemas, f"Missing schema for core node type: {node_type}"
+
+    def test_schema_structure(self):
+        """Ensure each schema has required fields."""
+        all_schemas = get_builtin_node_schemas()
+        for node_type, schema in all_schemas.items():
+            assert "description" in schema, f"Missing 'description' in schema for {node_type}"
+            # 'parameters' is optional but if present should be a dict
+            if "parameters" in schema:
+                assert isinstance(schema["parameters"], dict), (
+                    f"'parameters' in schema for {node_type} should be a dict"
+                )
+
+
+class TestNodeSchemasMerged:
+    """Tests to verify the merged configuration works correctly."""
+
+    def test_fallback_rules_available(self):
+        """Ensure FALLBACK_RULES is available from node_schemas."""
+        from core.workflow.generator.config.node_schemas import FALLBACK_RULES
+
+        assert len(FALLBACK_RULES) > 0
+        assert "http-request" in FALLBACK_RULES
+        assert "code" in FALLBACK_RULES
+        assert "llm" in FALLBACK_RULES
+
+    def test_node_type_aliases_available(self):
+        """Ensure NODE_TYPE_ALIASES is available from node_schemas."""
+        from core.workflow.generator.config.node_schemas import NODE_TYPE_ALIASES
+
+        assert len(NODE_TYPE_ALIASES) > 0
+        assert NODE_TYPE_ALIASES.get("gpt") == "llm"
+        assert NODE_TYPE_ALIASES.get("api") == "http-request"
+
+    def test_field_name_corrections_available(self):
+        """Ensure FIELD_NAME_CORRECTIONS is available from node_schemas."""
+        from core.workflow.generator.config.node_schemas import (
+            FIELD_NAME_CORRECTIONS,
+            get_corrected_field_name,
+        )
+
+        assert len(FIELD_NAME_CORRECTIONS) > 0
+        # Test the helper function
+        assert get_corrected_field_name("http-request", "text") == "body"
+        assert get_corrected_field_name("llm", "response") == "text"
+        assert get_corrected_field_name("code", "unknown") == "unknown"
+
+    def test_config_init_exports(self):
+        """Ensure config __init__.py exports all needed symbols."""
+        from core.workflow.generator.config import (
+            BUILTIN_NODE_SCHEMAS,
+            FALLBACK_RULES,
+            FIELD_NAME_CORRECTIONS,
+            NODE_TYPE_ALIASES,
+            get_corrected_field_name,
+            validate_node_schemas,
+        )
+
+        # Just verify imports work
+        assert BUILTIN_NODE_SCHEMAS is not None
+        assert FALLBACK_RULES is not None
+        assert FIELD_NAME_CORRECTIONS is not None
+        assert NODE_TYPE_ALIASES is not None
+        assert callable(get_corrected_field_name)
+        assert callable(validate_node_schemas)

api/tests/unit_tests/core/llm_generator/test_planner_prompts.py

@@ -0,0 +1,172 @@
+"""
+Unit tests for the Planner Prompts.
+
+Tests cover:
+- Tool formatting for planner context
+- Edge cases with missing fields
+- Empty tool lists
+"""
+
+from core.workflow.generator.prompts.planner_prompts import format_tools_for_planner
+
+
+class TestFormatToolsForPlanner:
+    """Tests for format_tools_for_planner function."""
+
+    def test_empty_tools_returns_default_message(self):
+        """Test empty tools list returns default message."""
+        result = format_tools_for_planner([])
+
+        assert result == "No external tools available."
+
+    def test_none_tools_returns_default_message(self):
+        """Test None tools list returns default message."""
+        result = format_tools_for_planner(None)
+
+        assert result == "No external tools available."
+
+    def test_single_tool_formatting(self):
+        """Test single tool is formatted correctly."""
+        tools = [
+            {
+                "provider_id": "google",
+                "tool_key": "search",
+                "tool_label": "Google Search",
+                "tool_description": "Search the web using Google",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        assert "[google/search]" in result
+        assert "Google Search" in result
+        assert "Search the web using Google" in result
+
+    def test_multiple_tools_formatting(self):
+        """Test multiple tools are formatted correctly."""
+        tools = [
+            {
+                "provider_id": "google",
+                "tool_key": "search",
+                "tool_label": "Search",
+                "tool_description": "Web search",
+            },
+            {
+                "provider_id": "slack",
+                "tool_key": "send_message",
+                "tool_label": "Send Message",
+                "tool_description": "Send a Slack message",
+            },
+        ]
+        result = format_tools_for_planner(tools)
+
+        lines = result.strip().split("\n")
+        assert len(lines) == 2
+        assert "[google/search]" in result
+        assert "[slack/send_message]" in result
+
+    def test_tool_without_provider_uses_key_only(self):
+        """Test tool without provider_id uses tool_key only."""
+        tools = [
+            {
+                "tool_key": "my_tool",
+                "tool_label": "My Tool",
+                "tool_description": "A custom tool",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        # Should format as [my_tool] without provider prefix
+        assert "[my_tool]" in result
+        assert "My Tool" in result
+
+    def test_tool_with_tool_name_fallback(self):
+        """Test tool uses tool_name when tool_key is missing."""
+        tools = [
+            {
+                "tool_name": "fallback_tool",
+                "description": "Fallback description",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        assert "fallback_tool" in result
+        assert "Fallback description" in result
+
+    def test_tool_with_missing_description(self):
+        """Test tool with missing description doesn't crash."""
+        tools = [
+            {
+                "provider_id": "test",
+                "tool_key": "tool1",
+                "tool_label": "Tool 1",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        assert "[test/tool1]" in result
+        assert "Tool 1" in result
+
+    def test_tool_with_all_missing_fields(self):
+        """Test tool with all fields missing uses defaults."""
+        tools = [{}]
+        result = format_tools_for_planner(tools)
+
+        # Should not crash, may produce minimal output
+        assert isinstance(result, str)
+
+    def test_tool_uses_provider_fallback(self):
+        """Test tool uses 'provider' when 'provider_id' is missing."""
+        tools = [
+            {
+                "provider": "openai",
+                "tool_key": "dalle",
+                "tool_label": "DALL-E",
+                "tool_description": "Generate images",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        assert "[openai/dalle]" in result
+
+    def test_tool_label_fallback_to_key(self):
+        """Test tool_label falls back to tool_key when missing."""
+        tools = [
+            {
+                "provider_id": "test",
+                "tool_key": "my_key",
+                "tool_description": "Description here",
+            }
+        ]
+        result = format_tools_for_planner(tools)
+
+        # Label should fallback to key
+        assert "my_key" in result
+        assert "Description here" in result
+
+
+class TestPlannerPromptConstants:
+    """Tests for planner prompt constant availability."""
+
+    def test_planner_system_prompt_exists(self):
+        """Test PLANNER_SYSTEM_PROMPT is defined."""
+        from core.workflow.generator.prompts.planner_prompts import PLANNER_SYSTEM_PROMPT
+
+        assert PLANNER_SYSTEM_PROMPT is not None
+        assert len(PLANNER_SYSTEM_PROMPT) > 0
+        assert "{tools_summary}" in PLANNER_SYSTEM_PROMPT
+
+    def test_planner_user_prompt_exists(self):
+        """Test PLANNER_USER_PROMPT is defined."""
+        from core.workflow.generator.prompts.planner_prompts import PLANNER_USER_PROMPT
+
+        assert PLANNER_USER_PROMPT is not None
+        assert "{instruction}" in PLANNER_USER_PROMPT
+
+    def test_planner_system_prompt_has_required_sections(self):
+        """Test PLANNER_SYSTEM_PROMPT has required XML sections."""
+        from core.workflow.generator.prompts.planner_prompts import PLANNER_SYSTEM_PROMPT
+
+        assert "<role>" in PLANNER_SYSTEM_PROMPT
+        assert "<task>" in PLANNER_SYSTEM_PROMPT
+        assert "<available_tools>" in PLANNER_SYSTEM_PROMPT
+        assert "<response_format>" in PLANNER_SYSTEM_PROMPT

api/tests/unit_tests/core/llm_generator/test_validation_engine.py

@@ -0,0 +1,510 @@
+"""
+Unit tests for the Validation Rule Engine.
+
+Tests cover:
+- Structure rules (required fields, types, formats)
+- Semantic rules (variable references, edge connections)
+- Reference rules (model exists, tool configured, dataset valid)
+- ValidationEngine integration
+"""
+
+from core.workflow.generator.validation import (
+    ValidationContext,
+    ValidationEngine,
+)
+from core.workflow.generator.validation.rules import (
+    extract_variable_refs,
+    is_placeholder,
+)
+
+
+class TestPlaceholderDetection:
+    """Tests for placeholder detection utility."""
+
+    def test_detects_please_select(self):
+        assert is_placeholder("PLEASE_SELECT_YOUR_MODEL") is True
+
+    def test_detects_your_prefix(self):
+        assert is_placeholder("YOUR_API_KEY") is True
+
+    def test_detects_todo(self):
+        assert is_placeholder("TODO: fill this in") is True
+
+    def test_detects_placeholder(self):
+        assert is_placeholder("PLACEHOLDER_VALUE") is True
+
+    def test_detects_example_prefix(self):
+        assert is_placeholder("EXAMPLE_URL") is True
+
+    def test_detects_replace_prefix(self):
+        assert is_placeholder("REPLACE_WITH_ACTUAL") is True
+
+    def test_case_insensitive(self):
+        assert is_placeholder("please_select") is True
+        assert is_placeholder("Please_Select") is True
+
+    def test_valid_values_not_detected(self):
+        assert is_placeholder("https://api.example.com") is False
+        assert is_placeholder("gpt-4") is False
+        assert is_placeholder("my_variable") is False
+
+    def test_non_string_returns_false(self):
+        assert is_placeholder(123) is False
+        assert is_placeholder(None) is False
+        assert is_placeholder(["list"]) is False
+
+
+class TestVariableRefExtraction:
+    """Tests for variable reference extraction."""
+
+    def test_extracts_simple_ref(self):
+        refs = extract_variable_refs("Hello {{#start.query#}}")
+        assert refs == [("start", "query")]
+
+    def test_extracts_multiple_refs(self):
+        refs = extract_variable_refs("{{#node1.output#}} and {{#node2.text#}}")
+        assert refs == [("node1", "output"), ("node2", "text")]
+
+    def test_extracts_nested_field(self):
+        refs = extract_variable_refs("{{#http_request.body#}}")
+        assert refs == [("http_request", "body")]
+
+    def test_no_refs_returns_empty(self):
+        refs = extract_variable_refs("No references here")
+        assert refs == []
+
+    def test_handles_malformed_refs(self):
+        refs = extract_variable_refs("{{#invalid}} and {{incomplete#}}")
+        assert refs == []
+
+
+class TestValidationContext:
+    """Tests for ValidationContext."""
+
+    def test_node_map_lookup(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start"},
+                {"id": "llm_1", "type": "llm"},
+            ]
+        )
+        assert ctx.get_node("start") == {"id": "start", "type": "start"}
+        assert ctx.get_node("nonexistent") is None
+
+    def test_model_set(self):
+        ctx = ValidationContext(
+            available_models=[
+                {"provider": "openai", "model": "gpt-4"},
+                {"provider": "anthropic", "model": "claude-3"},
+            ]
+        )
+        assert ctx.has_model("openai", "gpt-4") is True
+        assert ctx.has_model("anthropic", "claude-3") is True
+        assert ctx.has_model("openai", "gpt-3.5") is False
+
+    def test_tool_set(self):
+        ctx = ValidationContext(
+            available_tools=[
+                {"provider_id": "google", "tool_key": "search", "is_team_authorization": True},
+                {"provider_id": "slack", "tool_key": "send_message", "is_team_authorization": False},
+            ]
+        )
+        assert ctx.has_tool("google/search") is True
+        assert ctx.has_tool("search") is True
+        assert ctx.is_tool_configured("google/search") is True
+        assert ctx.is_tool_configured("slack/send_message") is False
+
+    def test_upstream_downstream_nodes(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start"},
+                {"id": "llm", "type": "llm"},
+                {"id": "end", "type": "end"},
+            ],
+            edges=[
+                {"source": "start", "target": "llm"},
+                {"source": "llm", "target": "end"},
+            ],
+        )
+        assert ctx.get_upstream_nodes("llm") == ["start"]
+        assert ctx.get_downstream_nodes("llm") == ["end"]
+
+
+class TestStructureRules:
+    """Tests for structure validation rules."""
+
+    def test_llm_missing_prompt_template(self):
+        ctx = ValidationContext(nodes=[{"id": "llm_1", "type": "llm", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        assert result.has_errors
+        errors = [e for e in result.all_errors if e.rule_id == "llm.prompt_template.required"]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is True
+
+    def test_llm_with_prompt_template_passes(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {
+                        "prompt_template": [
+                            {"role": "system", "text": "You are helpful"},
+                            {"role": "user", "text": "Hello"},
+                        ]
+                    },
+                }
+            ]
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        # No prompt_template errors
+        errors = [e for e in result.all_errors if "prompt_template" in e.rule_id]
+        assert len(errors) == 0
+
+    def test_http_request_missing_url(self):
+        ctx = ValidationContext(nodes=[{"id": "http_1", "type": "http-request", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "http.url" in e.rule_id]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is True
+
+    def test_http_request_placeholder_url(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "http_1",
+                    "type": "http-request",
+                    "config": {"url": "PLEASE_SELECT_YOUR_URL", "method": "GET"},
+                }
+            ]
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "placeholder" in e.rule_id]
+        assert len(errors) == 1
+
+    def test_code_node_missing_fields(self):
+        ctx = ValidationContext(nodes=[{"id": "code_1", "type": "code", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        error_rules = {e.rule_id for e in result.all_errors}
+        assert "code.code.required" in error_rules
+        assert "code.language.required" in error_rules
+
+    def test_knowledge_retrieval_missing_dataset(self):
+        ctx = ValidationContext(nodes=[{"id": "kb_1", "type": "knowledge-retrieval", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "knowledge.dataset" in e.rule_id]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is False  # User must configure
+
+
+class TestSemanticRules:
+    """Tests for semantic validation rules."""
+
+    def test_valid_variable_reference(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Process: {{#start.query#}}"}]},
+                },
+            ]
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        # No variable reference errors
+        errors = [e for e in result.all_errors if "variable.ref" in e.rule_id]
+        assert len(errors) == 0
+
+    def test_invalid_variable_reference(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Process: {{#nonexistent.field#}}"}]},
+                },
+            ]
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "variable.ref" in e.rule_id]
+        assert len(errors) == 1
+        assert "nonexistent" in errors[0].message
+
+    def test_edge_validation(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start", "config": {}},
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            edges=[
+                {"source": "start", "target": "end"},
+                {"source": "nonexistent", "target": "end"},
+            ],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "edge" in e.rule_id]
+        assert len(errors) == 1
+        assert "nonexistent" in errors[0].message
+
+
+class TestReferenceRules:
+    """Tests for reference validation rules (models, tools)."""
+
+    def test_llm_missing_model_with_available(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Hi"}]},
+                }
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if e.rule_id == "model.required"]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is True
+
+    def test_llm_missing_model_no_available(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Hi"}]},
+                }
+            ],
+            available_models=[],  # No models available
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if e.rule_id == "model.no_available"]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is False
+
+    def test_llm_with_valid_model(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {
+                        "prompt_template": [{"role": "user", "text": "Hi"}],
+                        "model": {"provider": "openai", "name": "gpt-4"},
+                    },
+                }
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if "model" in e.rule_id]
+        assert len(errors) == 0
+
+    def test_llm_with_invalid_model(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {
+                        "prompt_template": [{"role": "user", "text": "Hi"}],
+                        "model": {"provider": "openai", "name": "gpt-99"},
+                    },
+                }
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if e.rule_id == "model.not_found"]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is True
+
+    def test_tool_node_not_found(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "tool_1",
+                    "type": "tool",
+                    "config": {"tool_key": "nonexistent/tool"},
+                }
+            ],
+            available_tools=[],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if e.rule_id == "tool.not_found"]
+        assert len(errors) == 1
+
+    def test_tool_node_not_configured(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "tool_1",
+                    "type": "tool",
+                    "config": {"tool_key": "google/search"},
+                }
+            ],
+            available_tools=[{"provider_id": "google", "tool_key": "search", "is_team_authorization": False}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        errors = [e for e in result.all_errors if e.rule_id == "tool.not_configured"]
+        assert len(errors) == 1
+        assert errors[0].is_fixable is False
+
+
+class TestValidationResult:
+    """Tests for ValidationResult classification."""
+
+    def test_has_errors(self):
+        ctx = ValidationContext(nodes=[{"id": "llm_1", "type": "llm", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        assert result.has_errors is True
+        assert result.is_valid is False
+
+    def test_has_fixable_errors(self):
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Hi"}]},
+                }
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        assert result.has_fixable_errors is True
+        assert len(result.fixable_errors) > 0
+
+    def test_get_fixable_by_node(self):
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "llm_1", "type": "llm", "config": {}},
+                {"id": "http_1", "type": "http-request", "config": {}},
+            ]
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        by_node = result.get_fixable_by_node()
+        assert "llm_1" in by_node
+        assert "http_1" in by_node
+
+    def test_to_dict(self):
+        ctx = ValidationContext(nodes=[{"id": "llm_1", "type": "llm", "config": {}}])
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        d = result.to_dict()
+        assert "fixable" in d
+        assert "user_required" in d
+        assert "warnings" in d
+        assert "all_warnings" in d
+        assert "stats" in d
+
+
+class TestIntegration:
+    """Integration tests for the full validation pipeline."""
+
+    def test_complete_workflow_validation(self):
+        """Test validation of a complete workflow."""
+        ctx = ValidationContext(
+            nodes=[
+                {
+                    "id": "start",
+                    "type": "start",
+                    "config": {"variables": [{"variable": "query", "type": "text-input"}]},
+                },
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {
+                        "model": {"provider": "openai", "name": "gpt-4"},
+                        "prompt_template": [{"role": "user", "text": "{{#start.query#}}"}],
+                    },
+                },
+                {
+                    "id": "end",
+                    "type": "end",
+                    "config": {"outputs": [{"variable": "result", "value_selector": ["llm_1", "text"]}]},
+                },
+            ],
+            edges=[
+                {"source": "start", "target": "llm_1"},
+                {"source": "llm_1", "target": "end"},
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        # Should have no errors
+        assert result.is_valid is True
+        assert len(result.fixable_errors) == 0
+        assert len(result.user_required_errors) == 0
+
+    def test_workflow_with_multiple_errors(self):
+        """Test workflow with multiple types of errors."""
+        ctx = ValidationContext(
+            nodes=[
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "llm_1",
+                    "type": "llm",
+                    "config": {},  # Missing prompt_template and model
+                },
+                {
+                    "id": "kb_1",
+                    "type": "knowledge-retrieval",
+                    "config": {"dataset_ids": ["PLEASE_SELECT_YOUR_DATASET"]},
+                },
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            available_models=[{"provider": "openai", "model": "gpt-4"}],
+        )
+        engine = ValidationEngine()
+        result = engine.validate(ctx)
+
+        # Should have multiple errors
+        assert result.has_errors is True
+        assert len(result.fixable_errors) >= 2  # model, prompt_template
+        assert len(result.user_required_errors) >= 1  # dataset placeholder
+
+        # Check stats
+        assert result.stats["total_nodes"] == 4
+        assert result.stats["total_errors"] >= 3

api/tests/unit_tests/core/llm_generator/test_workflow_validator_vibe.py

@@ -0,0 +1,434 @@
+"""
+Unit tests for the Vibe Workflow Validator.
+
+Tests cover:
+- Basic validation function
+- User-friendly validation hints
+- Edge cases and error handling
+"""
+
+from core.workflow.generator.utils.workflow_validator import ValidationHint, WorkflowValidator
+
+
+class TestValidationHint:
+    """Tests for ValidationHint dataclass."""
+
+    def test_hint_creation(self):
+        """Test creating a validation hint."""
+        hint = ValidationHint(
+            node_id="llm_1",
+            field="model",
+            message="Model is not configured",
+            severity="error",
+        )
+        assert hint.node_id == "llm_1"
+        assert hint.field == "model"
+        assert hint.message == "Model is not configured"
+        assert hint.severity == "error"
+
+    def test_hint_with_suggestion(self):
+        """Test hint with suggestion."""
+        hint = ValidationHint(
+            node_id="http_1",
+            field="url",
+            message="URL is required",
+            severity="error",
+            suggestion="Add a valid URL like https://api.example.com",
+        )
+        assert hint.suggestion is not None
+
+
+class TestWorkflowValidatorBasic:
+    """Tests for basic validation scenarios."""
+
+    def test_empty_workflow_is_valid(self):
+        """Test empty workflow passes validation."""
+        workflow_data = {"nodes": [], "edges": []}
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        # Empty but valid structure
+        assert is_valid is True
+        assert len(hints) == 0
+
+    def test_minimal_valid_workflow(self):
+        """Test minimal Start → End workflow."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [{"source": "start", "target": "end"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        assert is_valid is True
+
+    def test_complete_workflow_with_llm(self):
+        """Test complete workflow with LLM node."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {"variables": []}},
+                {
+                    "id": "llm",
+                    "type": "llm",
+                    "config": {
+                        "model": {"provider": "openai", "name": "gpt-4"},
+                        "prompt_template": [{"role": "user", "text": "Hello"}],
+                    },
+                },
+                {"id": "end", "type": "end", "config": {"outputs": []}},
+            ],
+            "edges": [
+                {"source": "start", "target": "llm"},
+                {"source": "llm", "target": "end"},
+            ],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        # Should pass with no critical errors
+        errors = [h for h in hints if h.severity == "error"]
+        assert len(errors) == 0
+
+
+class TestVariableReferenceValidation:
+    """Tests for variable reference validation."""
+
+    def test_valid_variable_reference(self):
+        """Test valid variable reference passes."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "llm",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "Query: {{#start.query#}}"}]},
+                },
+            ],
+            "edges": [{"source": "start", "target": "llm"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        ref_errors = [h for h in hints if "reference" in h.message.lower()]
+        assert len(ref_errors) == 0
+
+    def test_invalid_variable_reference(self):
+        """Test invalid variable reference generates hint."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "llm",
+                    "type": "llm",
+                    "config": {"prompt_template": [{"role": "user", "text": "{{#nonexistent.field#}}"}]},
+                },
+            ],
+            "edges": [{"source": "start", "target": "llm"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        # Should have a hint about invalid reference
+        ref_hints = [h for h in hints if "nonexistent" in h.message or "reference" in h.message.lower()]
+        assert len(ref_hints) >= 1
+
+
+class TestEdgeValidation:
+    """Tests for edge validation."""
+
+    def test_edge_with_invalid_source(self):
+        """Test edge with non-existent source generates hint."""
+        workflow_data = {
+            "nodes": [{"id": "end", "type": "end", "config": {}}],
+            "edges": [{"source": "nonexistent", "target": "end"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        # Should have hint about invalid edge
+        edge_hints = [h for h in hints if "edge" in h.message.lower() or "source" in h.message.lower()]
+        assert len(edge_hints) >= 1
+
+    def test_edge_with_invalid_target(self):
+        """Test edge with non-existent target generates hint."""
+        workflow_data = {
+            "nodes": [{"id": "start", "type": "start", "config": {}}],
+            "edges": [{"source": "start", "target": "nonexistent"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        edge_hints = [h for h in hints if "edge" in h.message.lower() or "target" in h.message.lower()]
+        assert len(edge_hints) >= 1
+
+
+class TestToolValidation:
+    """Tests for tool node validation."""
+
+    def test_tool_node_found_in_available(self):
+        """Test tool node that exists in available tools."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "tool1",
+                    "type": "tool",
+                    "config": {"tool_key": "google/search"},
+                },
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [{"source": "start", "target": "tool1"}, {"source": "tool1", "target": "end"}],
+        }
+        available_tools = [{"provider_id": "google", "tool_key": "search", "is_team_authorization": True}]
+        is_valid, hints = WorkflowValidator.validate(workflow_data, available_tools)
+
+        tool_errors = [h for h in hints if h.severity == "error" and "tool" in h.message.lower()]
+        assert len(tool_errors) == 0
+
+    def test_tool_node_not_found(self):
+        """Test tool node not in available tools generates hint."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "tool1",
+                    "type": "tool",
+                    "config": {"tool_key": "unknown/tool"},
+                }
+            ],
+            "edges": [],
+        }
+        available_tools = []
+        is_valid, hints = WorkflowValidator.validate(workflow_data, available_tools)
+
+        tool_hints = [h for h in hints if "tool" in h.message.lower()]
+        assert len(tool_hints) >= 1
+
+
+class TestQuestionClassifierValidation:
+    """Tests for question-classifier node validation."""
+
+    def test_question_classifier_with_classes(self):
+        """Test question-classifier with valid classes."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "classifier",
+                    "type": "question-classifier",
+                    "config": {
+                        "classes": [
+                            {"id": "class1", "name": "Class 1"},
+                            {"id": "class2", "name": "Class 2"},
+                        ],
+                        "model": {"provider": "openai", "name": "gpt-4", "mode": "chat"},
+                    },
+                },
+                {"id": "h1", "type": "llm", "config": {}},
+                {"id": "h2", "type": "llm", "config": {}},
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [
+                {"source": "start", "target": "classifier"},
+                {"source": "classifier", "sourceHandle": "class1", "target": "h1"},
+                {"source": "classifier", "sourceHandle": "class2", "target": "h2"},
+                {"source": "h1", "target": "end"},
+                {"source": "h2", "target": "end"},
+            ],
+        }
+        available_models = [{"provider": "openai", "model": "gpt-4", "mode": "chat"}]
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [], available_models=available_models)
+
+        class_errors = [h for h in hints if "class" in h.message.lower() and h.severity == "error"]
+        assert len(class_errors) == 0
+
+    def test_question_classifier_missing_classes(self):
+        """Test question-classifier without classes generates hint."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "classifier",
+                    "type": "question-classifier",
+                    "config": {"model": {"provider": "openai", "name": "gpt-4", "mode": "chat"}},
+                }
+            ],
+            "edges": [],
+        }
+        available_models = [{"provider": "openai", "model": "gpt-4", "mode": "chat"}]
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [], available_models=available_models)
+
+        # Should have hint about missing classes
+        class_hints = [h for h in hints if "class" in h.message.lower()]
+        assert len(class_hints) >= 1
+
+
+class TestHttpRequestValidation:
+    """Tests for HTTP request node validation."""
+
+    def test_http_request_with_url(self):
+        """Test HTTP request with valid URL."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "http",
+                    "type": "http-request",
+                    "config": {"url": "https://api.example.com", "method": "GET"},
+                },
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [{"source": "start", "target": "http"}, {"source": "http", "target": "end"}],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        url_errors = [h for h in hints if "url" in h.message.lower() and h.severity == "error"]
+        assert len(url_errors) == 0
+
+    def test_http_request_missing_url(self):
+        """Test HTTP request without URL generates hint."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "http",
+                    "type": "http-request",
+                    "config": {"method": "GET"},
+                }
+            ],
+            "edges": [],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+
+        url_hints = [h for h in hints if "url" in h.message.lower()]
+        assert len(url_hints) >= 1
+
+
+class TestParameterExtractorValidation:
+    """Tests for parameter-extractor node validation."""
+
+    def test_parameter_extractor_valid_params(self):
+        """Test parameter-extractor with valid parameters."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "extractor",
+                    "type": "parameter-extractor",
+                    "config": {
+                        "instruction": "Extract info",
+                        "parameters": [
+                            {
+                                "name": "name",
+                                "type": "string",
+                                "description": "Name",
+                                "required": True,
+                            }
+                        ],
+                        "model": {"provider": "openai", "name": "gpt-4", "mode": "chat"},
+                    },
+                },
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [{"source": "start", "target": "extractor"}, {"source": "extractor", "target": "end"}],
+        }
+        available_models = [{"provider": "openai", "model": "gpt-4", "mode": "chat"}]
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [], available_models=available_models)
+
+        errors = [h for h in hints if h.severity == "error"]
+        assert len(errors) == 0
+
+    def test_parameter_extractor_missing_required_field(self):
+        """Test parameter-extractor missing 'required' field in parameter item."""
+        workflow_data = {
+            "nodes": [
+                {
+                    "id": "extractor",
+                    "type": "parameter-extractor",
+                    "config": {
+                        "instruction": "Extract info",
+                        "parameters": [
+                            {
+                                "name": "name",
+                                "type": "string",
+                                "description": "Name",
+                                # Missing 'required'
+                            }
+                        ],
+                        "model": {"provider": "openai", "name": "gpt-4", "mode": "chat"},
+                    },
+                }
+            ],
+            "edges": [],
+        }
+        available_models = [{"provider": "openai", "model": "gpt-4", "mode": "chat"}]
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [], available_models=available_models)
+
+        errors = [h for h in hints if "required" in h.message and h.severity == "error"]
+        assert len(errors) >= 1
+        assert "parameter-extractor" in errors[0].node_type
+
+
+class TestIfElseValidation:
+    """Tests for if-else node validation."""
+
+    def test_if_else_valid_operators(self):
+        """Test if-else with valid operators."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "ifelse",
+                    "type": "if-else",
+                    "config": {
+                        "cases": [{"case_id": "c1", "conditions": [{"comparison_operator": "≥", "value": "1"}]}]
+                    },
+                },
+                {"id": "t", "type": "llm", "config": {}},
+                {"id": "f", "type": "llm", "config": {}},
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [
+                {"source": "start", "target": "ifelse"},
+                {"source": "ifelse", "sourceHandle": "true", "target": "t"},
+                {"source": "ifelse", "sourceHandle": "false", "target": "f"},
+                {"source": "t", "target": "end"},
+                {"source": "f", "target": "end"},
+            ],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+        errors = [h for h in hints if h.severity == "error"]
+        # Filter out LLM model errors if any (available tools/models check might trigger)
+        # (actually available_models empty list might trigger model error?
+        # No, model config validation skips if model field not present? No, LLM has model config.
+        # But logic skips check if key missing? Let's check logic.
+        # _check_model_config checks if provider/name match available. If available is empty, it fails.
+        # But wait, validate default available_models is None?
+        # I should provide mock available_models or ignore model errors.
+
+        # Actually LLM node "config": {} implies missing model config. Rules check if config structure is valid?
+        # Let's filter specifically for operator errors.
+        operator_errors = [h for h in errors if "operator" in h.message]
+        assert len(operator_errors) == 0
+
+    def test_if_else_invalid_operators(self):
+        """Test if-else with invalid operators."""
+        workflow_data = {
+            "nodes": [
+                {"id": "start", "type": "start", "config": {}},
+                {
+                    "id": "ifelse",
+                    "type": "if-else",
+                    "config": {
+                        "cases": [{"case_id": "c1", "conditions": [{"comparison_operator": ">=", "value": "1"}]}]
+                    },
+                },
+                {"id": "t", "type": "llm", "config": {}},
+                {"id": "f", "type": "llm", "config": {}},
+                {"id": "end", "type": "end", "config": {}},
+            ],
+            "edges": [
+                {"source": "start", "target": "ifelse"},
+                {"source": "ifelse", "sourceHandle": "true", "target": "t"},
+                {"source": "ifelse", "sourceHandle": "false", "target": "f"},
+                {"source": "t", "target": "end"},
+                {"source": "f", "target": "end"},
+            ],
+        }
+        is_valid, hints = WorkflowValidator.validate(workflow_data, [])
+        operator_errors = [h for h in hints if "operator" in h.message and h.severity == "error"]
+        assert len(operator_errors) > 0
+        assert "≥" in operator_errors[0].suggestion

web/__tests__/goto-anything/command-selector.test.tsx

@@ -1,326 +0,0 @@
-import type { ActionItem } from '../../app/components/goto-anything/actions/types'
-import { fireEvent, render, screen } from '@testing-library/react'
-import * as React from 'react'
-import CommandSelector from '../../app/components/goto-anything/command-selector'
-
-vi.mock('cmdk', () => ({
-  Command: {
-    Group: ({ children, className }: any) => <div className={className}>{children}</div>,
-    Item: ({ children, onSelect, value, className }: any) => (
-      <div
-        className={className}
-        onClick={() => onSelect?.()}
-        data-value={value}
-        data-testid={`command-item-${value}`}
-      >
-        {children}
-      </div>
-    ),
-  },
-}))
-
-describe('CommandSelector', () => {
-  const mockActions: Record<string, ActionItem> = {
-    app: {
-      key: '@app',
-      shortcut: '@app',
-      title: 'Search Applications',
-      description: 'Search apps',
-      search: vi.fn(),
-    },
-    knowledge: {
-      key: '@knowledge',
-      shortcut: '@kb',
-      title: 'Search Knowledge',
-      description: 'Search knowledge bases',
-      search: vi.fn(),
-    },
-    plugin: {
-      key: '@plugin',
-      shortcut: '@plugin',
-      title: 'Search Plugins',
-      description: 'Search plugins',
-      search: vi.fn(),
-    },
-    node: {
-      key: '@node',
-      shortcut: '@node',
-      title: 'Search Nodes',
-      description: 'Search workflow nodes',
-      search: vi.fn(),
-    },
-  }
-
-  const mockOnCommandSelect = vi.fn()
-  const mockOnCommandValueChange = vi.fn()
-
-  beforeEach(() => {
-    vi.clearAllMocks()
-  })
-
-  describe('Basic Rendering', () => {
-    it('should render all actions when no filter is provided', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@plugin')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@node')).toBeInTheDocument()
-    })
-
-    it('should render empty filter as showing all actions', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@plugin')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@node')).toBeInTheDocument()
-    })
-  })
-
-  describe('Filtering Functionality', () => {
-    it('should filter actions based on searchFilter - single match', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="k"
-        />,
-      )
-
-      expect(screen.queryByTestId('command-item-@app')).not.toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@plugin')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@node')).not.toBeInTheDocument()
-    })
-
-    it('should filter actions with multiple matches', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="p"
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@kb')).not.toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@plugin')).toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@node')).not.toBeInTheDocument()
-    })
-
-    it('should be case-insensitive when filtering', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="APP"
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@kb')).not.toBeInTheDocument()
-    })
-
-    it('should match partial strings', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="od"
-        />,
-      )
-
-      expect(screen.queryByTestId('command-item-@app')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@kb')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@plugin')).not.toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@node')).toBeInTheDocument()
-    })
-  })
-
-  describe('Empty State', () => {
-    it('should show empty state when no matches found', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="xyz"
-        />,
-      )
-
-      expect(screen.queryByTestId('command-item-@app')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@kb')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@plugin')).not.toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@node')).not.toBeInTheDocument()
-
-      expect(screen.getByText('app.gotoAnything.noMatchingCommands')).toBeInTheDocument()
-      expect(screen.getByText('app.gotoAnything.tryDifferentSearch')).toBeInTheDocument()
-    })
-
-    it('should not show empty state when filter is empty', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-        />,
-      )
-
-      expect(screen.queryByText('app.gotoAnything.noMatchingCommands')).not.toBeInTheDocument()
-    })
-  })
-
-  describe('Selection and Highlight Management', () => {
-    it('should call onCommandValueChange when filter changes and first item differs', () => {
-      const { rerender } = render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-          commandValue="@app"
-          onCommandValueChange={mockOnCommandValueChange}
-        />,
-      )
-
-      rerender(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="k"
-          commandValue="@app"
-          onCommandValueChange={mockOnCommandValueChange}
-        />,
-      )
-
-      expect(mockOnCommandValueChange).toHaveBeenCalledWith('@kb')
-    })
-
-    it('should not call onCommandValueChange if current value still exists', () => {
-      const { rerender } = render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-          commandValue="@app"
-          onCommandValueChange={mockOnCommandValueChange}
-        />,
-      )
-
-      rerender(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="a"
-          commandValue="@app"
-          onCommandValueChange={mockOnCommandValueChange}
-        />,
-      )
-
-      expect(mockOnCommandValueChange).not.toHaveBeenCalled()
-    })
-
-    it('should handle onCommandSelect callback correctly', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="k"
-        />,
-      )
-
-      const knowledgeItem = screen.getByTestId('command-item-@kb')
-      fireEvent.click(knowledgeItem)
-
-      expect(mockOnCommandSelect).toHaveBeenCalledWith('@kb')
-    })
-  })
-
-  describe('Edge Cases', () => {
-    it('should handle empty actions object', () => {
-      render(
-        <CommandSelector
-          actions={{}}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-        />,
-      )
-
-      expect(screen.getByText('app.gotoAnything.noMatchingCommands')).toBeInTheDocument()
-    })
-
-    it('should handle special characters in filter', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="@"
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@plugin')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@node')).toBeInTheDocument()
-    })
-
-    it('should handle undefined onCommandValueChange gracefully', () => {
-      const { rerender } = render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter=""
-        />,
-      )
-
-      expect(() => {
-        rerender(
-          <CommandSelector
-            actions={mockActions}
-            onCommandSelect={mockOnCommandSelect}
-            searchFilter="k"
-          />,
-        )
-      }).not.toThrow()
-    })
-  })
-
-  describe('Backward Compatibility', () => {
-    it('should work without searchFilter prop (backward compatible)', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@app')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@plugin')).toBeInTheDocument()
-      expect(screen.getByTestId('command-item-@node')).toBeInTheDocument()
-    })
-
-    it('should work without commandValue and onCommandValueChange props', () => {
-      render(
-        <CommandSelector
-          actions={mockActions}
-          onCommandSelect={mockOnCommandSelect}
-          searchFilter="k"
-        />,
-      )
-
-      expect(screen.getByTestId('command-item-@kb')).toBeInTheDocument()
-      expect(screen.queryByTestId('command-item-@app')).not.toBeInTheDocument()
-    })
-  })
-})

web/__tests__/goto-anything/match-action.test.ts

@@ -1,236 +0,0 @@
-import type { Mock } from 'vitest'
-import type { ActionItem } from '../../app/components/goto-anything/actions/types'
-
-// Import after mocking to get mocked version
-import { matchAction } from '../../app/components/goto-anything/actions'
-import { slashCommandRegistry } from '../../app/components/goto-anything/actions/commands/registry'
-
-// Mock the entire actions module to avoid import issues
-vi.mock('../../app/components/goto-anything/actions', () => ({
-  matchAction: vi.fn(),
-}))
-
-vi.mock('../../app/components/goto-anything/actions/commands/registry')
-
-// Implement the actual matchAction logic for testing
-const actualMatchAction = (query: string, actions: Record<string, ActionItem>) => {
-  const result = Object.values(actions).find((action) => {
-    // Special handling for slash commands
-    if (action.key === '/') {
-      // Get all registered commands from the registry
-      const allCommands = slashCommandRegistry.getAllCommands()
-
-      // Check if query matches any registered command
-      return allCommands.some((cmd) => {
-        const cmdPattern = `/${cmd.name}`
-
-        // For direct mode commands, don't match (keep in command selector)
-        if (cmd.mode === 'direct')
-          return false
-
-        // For submenu mode commands, match when complete command is entered
-        return query === cmdPattern || query.startsWith(`${cmdPattern} `)
-      })
-    }
-
-    const reg = new RegExp(`^(${action.key}|${action.shortcut})(?:\\s|$)`)
-    return reg.test(query)
-  })
-  return result
-}
-
-// Replace mock with actual implementation
-;(matchAction as Mock).mockImplementation(actualMatchAction)
-
-describe('matchAction Logic', () => {
-  const mockActions: Record<string, ActionItem> = {
-    app: {
-      key: '@app',
-      shortcut: '@a',
-      title: 'Search Applications',
-      description: 'Search apps',
-      search: vi.fn(),
-    },
-    knowledge: {
-      key: '@knowledge',
-      shortcut: '@kb',
-      title: 'Search Knowledge',
-      description: 'Search knowledge bases',
-      search: vi.fn(),
-    },
-    slash: {
-      key: '/',
-      shortcut: '/',
-      title: 'Commands',
-      description: 'Execute commands',
-      search: vi.fn(),
-    },
-  }
-
-  beforeEach(() => {
-    vi.clearAllMocks()
-    ;(slashCommandRegistry.getAllCommands as Mock).mockReturnValue([
-      { name: 'docs', mode: 'direct' },
-      { name: 'community', mode: 'direct' },
-      { name: 'feedback', mode: 'direct' },
-      { name: 'account', mode: 'direct' },
-      { name: 'theme', mode: 'submenu' },
-      { name: 'language', mode: 'submenu' },
-    ])
-  })
-
-  describe('@ Actions Matching', () => {
-    it('should match @app with key', () => {
-      const result = matchAction('@app', mockActions)
-      expect(result).toBe(mockActions.app)
-    })
-
-    it('should match @app with shortcut', () => {
-      const result = matchAction('@a', mockActions)
-      expect(result).toBe(mockActions.app)
-    })
-
-    it('should match @knowledge with key', () => {
-      const result = matchAction('@knowledge', mockActions)
-      expect(result).toBe(mockActions.knowledge)
-    })
-
-    it('should match @knowledge with shortcut @kb', () => {
-      const result = matchAction('@kb', mockActions)
-      expect(result).toBe(mockActions.knowledge)
-    })
-
-    it('should match with text after action', () => {
-      const result = matchAction('@app search term', mockActions)
-      expect(result).toBe(mockActions.app)
-    })
-
-    it('should not match partial @ actions', () => {
-      const result = matchAction('@ap', mockActions)
-      expect(result).toBeUndefined()
-    })
-  })
-
-  describe('Slash Commands Matching', () => {
-    describe('Direct Mode Commands', () => {
-      it('should not match direct mode commands', () => {
-        const result = matchAction('/docs', mockActions)
-        expect(result).toBeUndefined()
-      })
-
-      it('should not match direct mode with arguments', () => {
-        const result = matchAction('/docs something', mockActions)
-        expect(result).toBeUndefined()
-      })
-
-      it('should not match any direct mode command', () => {
-        expect(matchAction('/community', mockActions)).toBeUndefined()
-        expect(matchAction('/feedback', mockActions)).toBeUndefined()
-        expect(matchAction('/account', mockActions)).toBeUndefined()
-      })
-    })
-
-    describe('Submenu Mode Commands', () => {
-      it('should match submenu mode commands exactly', () => {
-        const result = matchAction('/theme', mockActions)
-        expect(result).toBe(mockActions.slash)
-      })
-
-      it('should match submenu mode with arguments', () => {
-        const result = matchAction('/theme dark', mockActions)
-        expect(result).toBe(mockActions.slash)
-      })
-
-      it('should match all submenu commands', () => {
-        expect(matchAction('/language', mockActions)).toBe(mockActions.slash)
-        expect(matchAction('/language en', mockActions)).toBe(mockActions.slash)
-      })
-    })
-
-    describe('Slash Without Command', () => {
-      it('should not match single slash', () => {
-        const result = matchAction('/', mockActions)
-        expect(result).toBeUndefined()
-      })
-
-      it('should not match unregistered commands', () => {
-        const result = matchAction('/unknown', mockActions)
-        expect(result).toBeUndefined()
-      })
-    })
-  })
-
-  describe('Edge Cases', () => {
-    it('should handle empty query', () => {
-      const result = matchAction('', mockActions)
-      expect(result).toBeUndefined()
-    })
-
-    it('should handle whitespace only', () => {
-      const result = matchAction('  ', mockActions)
-      expect(result).toBeUndefined()
-    })
-
-    it('should handle regular text without actions', () => {
-      const result = matchAction('search something', mockActions)
-      expect(result).toBeUndefined()
-    })
-
-    it('should handle special characters', () => {
-      const result = matchAction('#tag', mockActions)
-      expect(result).toBeUndefined()
-    })
-
-    it('should handle multiple @ or /', () => {
-      expect(matchAction('@@app', mockActions)).toBeUndefined()
-      expect(matchAction('//theme', mockActions)).toBeUndefined()
-    })
-  })
-
-  describe('Mode-based Filtering', () => {
-    it('should filter direct mode commands from matching', () => {
-      ;(slashCommandRegistry.getAllCommands as Mock).mockReturnValue([
-        { name: 'test', mode: 'direct' },
-      ])
-
-      const result = matchAction('/test', mockActions)
-      expect(result).toBeUndefined()
-    })
-
-    it('should allow submenu mode commands to match', () => {
-      ;(slashCommandRegistry.getAllCommands as Mock).mockReturnValue([
-        { name: 'test', mode: 'submenu' },
-      ])
-
-      const result = matchAction('/test', mockActions)
-      expect(result).toBe(mockActions.slash)
-    })
-
-    it('should treat undefined mode as submenu', () => {
-      ;(slashCommandRegistry.getAllCommands as Mock).mockReturnValue([
-        { name: 'test' }, // No mode specified
-      ])
-
-      const result = matchAction('/test', mockActions)
-      expect(result).toBe(mockActions.slash)
-    })
-  })
-
-  describe('Registry Integration', () => {
-    it('should call getAllCommands when matching slash', () => {
-      matchAction('/theme', mockActions)
-      expect(slashCommandRegistry.getAllCommands).toHaveBeenCalled()
-    })
-
-    it('should not call getAllCommands for @ actions', () => {
-      matchAction('@app', mockActions)
-      expect(slashCommandRegistry.getAllCommands).not.toHaveBeenCalled()
-    })
-
-    it('should handle empty command list', () => {
-      ;(slashCommandRegistry.getAllCommands as Mock).mockReturnValue([])
-      const result = matchAction('/anything', mockActions)
-      expect(result).toBeUndefined()
-    })
-  })
-})

web/__tests__/goto-anything/search-error-handling.test.ts

@@ -9,7 +9,7 @@ import type { MockedFunction } from 'vitest'
  * 4. Ensure errors don't propagate to UI layer causing "search failed"
  */
 
-import { Actions, searchAnything } from '@/app/components/goto-anything/actions'
+import { appScope, knowledgeScope, pluginScope, searchAnything } from '@/app/components/goto-anything/actions'
 import { fetchAppList } from '@/service/apps'
 import { postMarketplace } from '@/service/base'
 import { fetchDatasets } from '@/service/datasets'
@@ -30,6 +30,7 @@ vi.mock('@/service/datasets', () => ({
 const mockPostMarketplace = postMarketplace as MockedFunction<typeof postMarketplace>
 const mockFetchAppList = fetchAppList as MockedFunction<typeof fetchAppList>
 const mockFetchDatasets = fetchDatasets as MockedFunction<typeof fetchDatasets>
+const searchScopes = [appScope, knowledgeScope, pluginScope]
 
 describe('GotoAnything Search Error Handling', () => {
   beforeEach(() => {
@@ -49,10 +50,7 @@ describe('GotoAnything Search Error Handling', () => {
       // Mock marketplace API failure (403 permission denied)
       mockPostMarketplace.mockRejectedValue(new Error('HTTP 403: Forbidden'))
 
-      const pluginAction = Actions.plugin
-
-      // Directly call plugin action's search method
-      const result = await pluginAction.search('@plugin', 'test', 'en')
+      const result = await pluginScope.search('@plugin', 'test', 'en')
 
       // Should return empty array instead of throwing error
       expect(result).toEqual([])
@@ -72,8 +70,7 @@ describe('GotoAnything Search Error Handling', () => {
         data: { plugins: [] },
       })
 
-      const pluginAction = Actions.plugin
-      const result = await pluginAction.search('@plugin', '', 'en')
+      const result = await pluginScope.search('@plugin', '', 'en')
 
       expect(result).toEqual([])
     })
@@ -84,8 +81,7 @@ describe('GotoAnything Search Error Handling', () => {
         data: null,
       })
 
-      const pluginAction = Actions.plugin
-      const result = await pluginAction.search('@plugin', 'test', 'en')
+      const result = await pluginScope.search('@plugin', 'test', 'en')
 
       expect(result).toEqual([])
     })
@@ -96,8 +92,7 @@ describe('GotoAnything Search Error Handling', () => {
       // Mock app API failure
       mockFetchAppList.mockRejectedValue(new Error('API Error'))
 
-      const appAction = Actions.app
-      const result = await appAction.search('@app', 'test', 'en')
+      const result = await appScope.search('@app', 'test', 'en')
 
       expect(result).toEqual([])
     })
@@ -106,8 +101,7 @@ describe('GotoAnything Search Error Handling', () => {
       // Mock knowledge API failure
       mockFetchDatasets.mockRejectedValue(new Error('API Error'))
 
-      const knowledgeAction = Actions.knowledge
-      const result = await knowledgeAction.search('@knowledge', 'test', 'en')
+      const result = await knowledgeScope.search('@knowledge', 'test', 'en')
 
       expect(result).toEqual([])
     })
@@ -120,7 +114,7 @@ describe('GotoAnything Search Error Handling', () => {
       mockFetchDatasets.mockResolvedValue({ data: [], has_more: false, limit: 10, page: 1, total: 0 })
       mockPostMarketplace.mockRejectedValue(new Error('Plugin API failed'))
 
-      const result = await searchAnything('en', 'test')
+      const result = await searchAnything('en', 'test', undefined, searchScopes)
 
       // Should return successful results even if plugin search fails
       expect(result).toEqual([])
@@ -131,8 +125,7 @@ describe('GotoAnything Search Error Handling', () => {
       // Mock plugin API failure
       mockPostMarketplace.mockRejectedValue(new Error('Plugin service unavailable'))
 
-      const pluginAction = Actions.plugin
-      const result = await searchAnything('en', '@plugin test', pluginAction)
+      const result = await searchAnything('en', '@plugin test', pluginScope, searchScopes)
 
       // Should return empty array instead of throwing error
       expect(result).toEqual([])
@@ -142,8 +135,7 @@ describe('GotoAnything Search Error Handling', () => {
       // Mock app API failure
       mockFetchAppList.mockRejectedValue(new Error('App service unavailable'))
 
-      const appAction = Actions.app
-      const result = await searchAnything('en', '@app test', appAction)
+      const result = await searchAnything('en', '@app test', appScope, searchScopes)
 
       expect(result).toEqual([])
     })
@@ -157,9 +149,9 @@ describe('GotoAnything Search Error Handling', () => {
       mockFetchDatasets.mockRejectedValue(new Error('Dataset API failed'))
 
       const actions = [
-        { name: '@plugin', action: Actions.plugin },
-        { name: '@app', action: Actions.app },
-        { name: '@knowledge', action: Actions.knowledge },
+        { name: '@plugin', action: pluginScope },
+        { name: '@app', action: appScope },
+        { name: '@knowledge', action: knowledgeScope },
       ]
 
       for (const { name, action } of actions) {
@@ -173,7 +165,7 @@ describe('GotoAnything Search Error Handling', () => {
     it('empty search term should be handled properly', async () => {
       mockPostMarketplace.mockResolvedValue({ data: { plugins: [] } })
 
-      const result = await searchAnything('en', '@plugin ', Actions.plugin)
+      const result = await searchAnything('en', '@plugin ', pluginScope, searchScopes)
       expect(result).toEqual([])
     })
 
@@ -183,7 +175,7 @@ describe('GotoAnything Search Error Handling', () => {
 
       mockPostMarketplace.mockRejectedValue(timeoutError)
 
-      const result = await searchAnything('en', '@plugin test', Actions.plugin)
+      const result = await searchAnything('en', '@plugin test', pluginScope, searchScopes)
       expect(result).toEqual([])
     })
 
@@ -191,7 +183,7 @@ describe('GotoAnything Search Error Handling', () => {
       const parseError = new SyntaxError('Unexpected token in JSON')
       mockPostMarketplace.mockRejectedValue(parseError)
 
-      const result = await searchAnything('en', '@plugin test', Actions.plugin)
+      const result = await searchAnything('en', '@plugin test', pluginScope, searchScopes)
       expect(result).toEqual([])
     })
   })

web/app/components/app/configuration/config/automatic/version-selector.tsx

@@ -10,9 +10,15 @@ type VersionSelectorProps = {
   versionLen: number
   value: number
   onChange: (index: number) => void
+  contentClassName?: string
 }
 
-const VersionSelector: React.FC<VersionSelectorProps> = ({ versionLen, value, onChange }) => {
+const VersionSelector: React.FC<VersionSelectorProps> = ({
+  versionLen,
+  value,
+  onChange,
+  contentClassName,
+}) => {
   const { t } = useTranslation()
   const [isOpen, {
     setFalse: handleOpenFalse,
@@ -64,6 +70,7 @@ const VersionSelector: React.FC<VersionSelectorProps> = ({ versionLen, value, on
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className={cn(
         'z-[99]',
+        contentClassName,
       )}
       >
         <div

web/app/components/goto-anything/actions/app.tsx

@@ -1,9 +1,10 @@
-import type { ActionItem, AppSearchResult } from './types'
+import type { AppSearchResult, ScopeDescriptor } from './types'
 import type { App } from '@/types/app'
 import { fetchAppList } from '@/service/apps'
 import { getRedirectionPath } from '@/utils/app-redirection'
 import { AppTypeIcon } from '../../app/type-selector'
 import AppIcon from '../../base/app-icon'
+import { ACTION_KEYS } from '../constants'
 
 const parser = (apps: App[]): AppSearchResult[] => {
   return apps.map(app => ({
@@ -35,9 +36,9 @@ const parser = (apps: App[]): AppSearchResult[] => {
   }))
 }
 
-export const appAction: ActionItem = {
-  key: '@app',
-  shortcut: '@app',
+export const appScope: ScopeDescriptor = {
+  id: 'app',
+  shortcut: ACTION_KEYS.APP,
   title: 'Search Applications',
   description: 'Search and navigate to your applications',
   // action,

web/app/components/goto-anything/actions/commands/banana.spec.tsx

@@ -0,0 +1,189 @@
+import { isInWorkflowPage, VIBE_COMMAND_EVENT } from '@/app/components/workflow/constants'
+import i18n from '@/i18n-config/i18next-config'
+import { bananaCommand } from './banana'
+import { registerCommands, unregisterCommands } from './command-bus'
+
+vi.mock('@/i18n-config/i18next-config', () => ({
+  default: {
+    t: vi.fn((key: string, options?: Record<string, unknown>) => {
+      if (!options)
+        return key
+      return `${key}:${JSON.stringify(options)}`
+    }),
+  },
+}))
+
+vi.mock('@/app/components/workflow/constants', async () => {
+  const actual = await vi.importActual<typeof import('@/app/components/workflow/constants')>(
+    '@/app/components/workflow/constants',
+  )
+  return {
+    ...actual,
+    isInWorkflowPage: vi.fn(),
+  }
+})
+
+vi.mock('./command-bus', () => ({
+  registerCommands: vi.fn(),
+  unregisterCommands: vi.fn(),
+}))
+
+const mockedIsInWorkflowPage = vi.mocked(isInWorkflowPage)
+const mockedRegisterCommands = vi.mocked(registerCommands)
+const mockedUnregisterCommands = vi.mocked(unregisterCommands)
+const mockedT = vi.mocked(i18n.t)
+
+type CommandArgs = { dsl?: string }
+type CommandMap = Record<string, (args?: CommandArgs) => void | Promise<void>>
+
+beforeEach(() => {
+  vi.clearAllMocks()
+})
+
+// Command availability, search, and registration behavior for banana command.
+describe('bananaCommand', () => {
+  // Command metadata mirrors the static definition.
+  describe('metadata', () => {
+    it('should expose name, mode, and description', () => {
+      // Assert
+      expect(bananaCommand.name).toBe('banana')
+      expect(bananaCommand.mode).toBe('submenu')
+      expect(bananaCommand.description).toContain('gotoAnything.actions.vibeDesc')
+    })
+  })
+
+  // Availability mirrors workflow page detection.
+  describe('availability', () => {
+    it('should return true when on workflow page', () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const available = bananaCommand.isAvailable?.()
+
+      // Assert
+      expect(available).toBe(true)
+      expect(mockedIsInWorkflowPage).toHaveBeenCalledTimes(1)
+    })
+
+    it('should return false when not on workflow page', () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(false)
+
+      // Act
+      const available = bananaCommand.isAvailable?.()
+
+      // Assert
+      expect(available).toBe(false)
+      expect(mockedIsInWorkflowPage).toHaveBeenCalledTimes(1)
+    })
+  })
+
+  // Search results depend on provided arguments.
+  describe('search', () => {
+    it('should return hint description when args are empty', async () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const result = await bananaCommand.search('   ')
+
+      // Assert
+      expect(result).toHaveLength(1)
+      const [item] = result
+      expect(item.description).toContain('gotoAnything.actions.vibeHint')
+      expect(item.data?.args?.dsl).toBe('')
+      expect(item.data?.command).toBe('workflow.vibe')
+      expect(mockedT).toHaveBeenCalledWith(
+        'gotoAnything.actions.vibeTitle',
+        expect.objectContaining({ lng: 'en', ns: 'app' }),
+      )
+      expect(mockedT).toHaveBeenCalledWith(
+        'gotoAnything.actions.vibeHint',
+        expect.objectContaining({ prompt: expect.any(String), lng: 'en', ns: 'app' }),
+      )
+    })
+
+    it('should return default description when args are provided', async () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const result = await bananaCommand.search(' make a flow ', 'fr')
+
+      // Assert
+      expect(result).toHaveLength(1)
+      const [item] = result
+      expect(item.description).toContain('gotoAnything.actions.vibeDesc')
+      expect(item.data?.args?.dsl).toBe('make a flow')
+      expect(item.data?.command).toBe('workflow.vibe')
+      expect(mockedT).toHaveBeenCalledWith(
+        'gotoAnything.actions.vibeTitle',
+        expect.objectContaining({ lng: 'fr', ns: 'app' }),
+      )
+      expect(mockedT).toHaveBeenCalledWith(
+        'gotoAnything.actions.vibeDesc',
+        expect.objectContaining({ lng: 'fr', ns: 'app' }),
+      )
+    })
+
+    it('should fall back to Banana when title translation is empty', async () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+      mockedT.mockImplementationOnce(() => '')
+
+      // Act
+      const result = await bananaCommand.search('make a plan')
+
+      // Assert
+      expect(result).toHaveLength(1)
+      expect(result[0]?.title).toBe('Banana')
+    })
+  })
+
+  // Command registration and event dispatching.
+  describe('registration', () => {
+    it('should register the workflow vibe command', () => {
+      // Act
+      expect(bananaCommand.register).toBeDefined()
+      bananaCommand.register?.({})
+
+      // Assert
+      expect(mockedRegisterCommands).toHaveBeenCalledTimes(1)
+      const commands = mockedRegisterCommands.mock.calls[0]?.[0] as CommandMap
+      expect(commands['workflow.vibe']).toEqual(expect.any(Function))
+    })
+
+    it('should dispatch vibe event when command handler runs', async () => {
+      // Arrange
+      const dispatchSpy = vi.spyOn(document, 'dispatchEvent')
+      expect(bananaCommand.register).toBeDefined()
+      bananaCommand.register?.({})
+      expect(mockedRegisterCommands).toHaveBeenCalledTimes(1)
+      const commands = mockedRegisterCommands.mock.calls[0]?.[0] as CommandMap
+
+      try {
+        // Act
+        await commands['workflow.vibe']?.({ dsl: 'hello' })
+
+        // Assert
+        expect(dispatchSpy).toHaveBeenCalledTimes(1)
+        const event = dispatchSpy.mock.calls[0][0] as CustomEvent
+        expect(event.type).toBe(VIBE_COMMAND_EVENT)
+        expect(event.detail).toEqual({ dsl: 'hello' })
+      }
+      finally {
+        dispatchSpy.mockRestore()
+      }
+    })
+
+    it('should unregister workflow vibe command', () => {
+      // Act
+      expect(bananaCommand.unregister).toBeDefined()
+      bananaCommand.unregister?.()
+
+      // Assert
+      expect(mockedUnregisterCommands).toHaveBeenCalledWith(['workflow.vibe'])
+    })
+  })
+})

web/app/components/goto-anything/actions/commands/banana.tsx

@@ -0,0 +1,59 @@
+import type { SlashCommandHandler } from './types'
+import { RiSparklingFill } from '@remixicon/react'
+import * as React from 'react'
+import { isInWorkflowPage, VIBE_COMMAND_EVENT } from '@/app/components/workflow/constants'
+import i18n from '@/i18n-config/i18next-config'
+import { registerCommands, unregisterCommands } from './command-bus'
+
+type BananaDeps = Record<string, never>
+
+const BANANA_PROMPT_EXAMPLE = 'Summarize a document, classify sentiment, then notify Slack'
+
+const dispatchVibeCommand = (input?: string) => {
+  if (typeof document === 'undefined')
+    return
+
+  document.dispatchEvent(new CustomEvent(VIBE_COMMAND_EVENT, { detail: { dsl: input } }))
+}
+
+export const bananaCommand: SlashCommandHandler<BananaDeps> = {
+  name: 'banana',
+  description: i18n.t('gotoAnything.actions.vibeDesc', { ns: 'app' }),
+  mode: 'submenu',
+  isAvailable: () => isInWorkflowPage(),
+
+  async search(args: string, locale: string = 'en') {
+    const trimmed = args.trim()
+    const hasInput = !!trimmed
+
+    return [{
+      id: 'banana-vibe',
+      title: i18n.t('gotoAnything.actions.vibeTitle', { ns: 'app', lng: locale }) || 'Banana',
+      description: hasInput
+        ? i18n.t('gotoAnything.actions.vibeDesc', { ns: 'app', lng: locale })
+        : i18n.t('gotoAnything.actions.vibeHint', { ns: 'app', lng: locale, prompt: BANANA_PROMPT_EXAMPLE }),
+      type: 'command' as const,
+      icon: (
+        <div className="flex h-6 w-6 items-center justify-center rounded-md border-[0.5px] border-divider-regular bg-components-panel-bg">
+          <RiSparklingFill className="h-4 w-4 text-text-tertiary" />
+        </div>
+      ),
+      data: {
+        command: 'workflow.vibe',
+        args: { dsl: trimmed },
+      },
+    }]
+  },
+
+  register(_deps: BananaDeps) {
+    registerCommands({
+      'workflow.vibe': async (args) => {
+        dispatchVibeCommand(args?.dsl)
+      },
+    })
+  },
+
+  unregister() {
+    unregisterCommands(['workflow.vibe'])
+  },
+}

web/app/components/goto-anything/actions/commands/index.ts

@@ -9,7 +9,7 @@ export {
 export { slashCommandRegistry, SlashCommandRegistry } from './registry'
 
 // Command system exports
-export { slashAction } from './slash'
+export { slashScope } from './slash'
 export { registerSlashCommands, SlashCommandProvider, unregisterSlashCommands } from './slash'
 
 export type { SlashCommandHandler } from './types'

web/app/components/goto-anything/actions/commands/language.tsx

@@ -1,12 +1,13 @@
 import type { CommandSearchResult } from '../types'
 import type { SlashCommandHandler } from './types'
+import type { Locale } from '@/i18n-config/language'
 import i18n from '@/i18n-config/i18next-config'
 import { languages } from '@/i18n-config/language'
 import { registerCommands, unregisterCommands } from './command-bus'
 
 // Language dependency types
 type LanguageDeps = {
-  setLocale?: (locale: string) => Promise<void>
+  setLocale?: (locale: Locale, reloadPage?: boolean) => Promise<void>
 }
 
 const buildLanguageCommands = (query: string): CommandSearchResult[] => {

web/app/components/goto-anything/actions/commands/registry.ts

@@ -6,20 +6,21 @@ import type { SlashCommandHandler } from './types'
  * Responsible for managing registration, lookup, and search of all slash commands
  */
 export class SlashCommandRegistry {
-  private commands = new Map<string, SlashCommandHandler>()
-  private commandDeps = new Map<string, any>()
+  private commands = new Map<string, SlashCommandHandler<unknown>>()
+  private commandDeps = new Map<string, unknown>()
 
   /**
    * Register command handler
    */
-  register<TDeps = any>(handler: SlashCommandHandler<TDeps>, deps?: TDeps) {
+  register<TDeps = unknown>(handler: SlashCommandHandler<TDeps>, deps?: TDeps) {
     // Register main command name
-    this.commands.set(handler.name, handler)
+    // Cast to unknown first, then to SlashCommandHandler<unknown> to handle generic type variance
+    this.commands.set(handler.name, handler as SlashCommandHandler<unknown>)
 
     // Register aliases
     if (handler.aliases) {
       handler.aliases.forEach((alias) => {
-        this.commands.set(alias, handler)
+        this.commands.set(alias, handler as SlashCommandHandler<unknown>)
       })
     }
 
@@ -57,7 +58,7 @@ export class SlashCommandRegistry {
   /**
    * Find command handler
    */
-  findCommand(commandName: string): SlashCommandHandler | undefined {
+  findCommand(commandName: string): SlashCommandHandler<unknown> | undefined {
     return this.commands.get(commandName)
   }
 
@@ -65,7 +66,7 @@ export class SlashCommandRegistry {
    * Smart partial command matching
    * Prioritize alias matching, then match command name prefix
    */
-  private findBestPartialMatch(partialName: string): SlashCommandHandler | undefined {
+  private findBestPartialMatch(partialName: string): SlashCommandHandler<unknown> | undefined {
     const lowerPartial = partialName.toLowerCase()
 
     // First check if any alias starts with this
@@ -81,7 +82,7 @@ export class SlashCommandRegistry {
   /**
    * Find handler by alias prefix
    */
-  private findHandlerByAliasPrefix(prefix: string): SlashCommandHandler | undefined {
+  private findHandlerByAliasPrefix(prefix: string): SlashCommandHandler<unknown> | undefined {
     for (const handler of this.getAllCommands()) {
       if (handler.aliases?.some(alias => alias.toLowerCase().startsWith(prefix)))
         return handler
@@ -92,7 +93,7 @@ export class SlashCommandRegistry {
   /**
    * Find handler by name prefix
    */
-  private findHandlerByNamePrefix(prefix: string): SlashCommandHandler | undefined {
+  private findHandlerByNamePrefix(prefix: string): SlashCommandHandler<unknown> | undefined {
     return this.getAllCommands().find(handler =>
       handler.name.toLowerCase().startsWith(prefix),
     )
@@ -101,8 +102,8 @@ export class SlashCommandRegistry {
   /**
    * Get all registered commands (deduplicated)
    */
-  getAllCommands(): SlashCommandHandler[] {
-    const uniqueCommands = new Map<string, SlashCommandHandler>()
+  getAllCommands(): SlashCommandHandler<unknown>[] {
+    const uniqueCommands = new Map<string, SlashCommandHandler<unknown>>()
     this.commands.forEach((handler) => {
       uniqueCommands.set(handler.name, handler)
     })
@@ -113,7 +114,7 @@ export class SlashCommandRegistry {
    * Get all available commands in current context (deduplicated and filtered)
    * Commands without isAvailable method are considered always available
    */
-  getAvailableCommands(): SlashCommandHandler[] {
+  getAvailableCommands(): SlashCommandHandler<unknown>[] {
     return this.getAllCommands().filter(handler => this.isCommandAvailable(handler))
   }
 
@@ -228,7 +229,7 @@ export class SlashCommandRegistry {
   /**
    * Get command dependencies
    */
-  getCommandDependencies(commandName: string): any {
+  getCommandDependencies(commandName: string): unknown {
     return this.commandDeps.get(commandName)
   }
 
@@ -236,7 +237,7 @@ export class SlashCommandRegistry {
    * Determine if a command is available in the current context.
    * Defaults to true when a handler does not implement the guard.
    */
-  private isCommandAvailable(handler: SlashCommandHandler) {
+  private isCommandAvailable(handler: SlashCommandHandler<unknown>) {
     return handler.isAvailable?.() ?? true
   }
 }

web/app/components/goto-anything/actions/commands/slash.tsx

@@ -1,11 +1,13 @@
 'use client'
-import type { ActionItem } from '../types'
+import type { ScopeDescriptor } from '../types'
+import type { SlashCommandDependencies } from './types'
 import { useTheme } from 'next-themes'
 import { useEffect } from 'react'
 import { setLocaleOnClient } from '@/i18n-config'
 import i18n from '@/i18n-config/i18next-config'
+import { ACTION_KEYS } from '../../constants'
 import { accountCommand } from './account'
-import { executeCommand } from './command-bus'
+import { bananaCommand } from './banana'
 import { communityCommand } from './community'
 import { docsCommand } from './docs'
 import { forumCommand } from './forum'
@@ -14,17 +16,11 @@ import { slashCommandRegistry } from './registry'
 import { themeCommand } from './theme'
 import { zenCommand } from './zen'
 
-export const slashAction: ActionItem = {
-  key: '/',
-  shortcut: '/',
+export const slashScope: ScopeDescriptor = {
+  id: 'slash',
+  shortcut: ACTION_KEYS.SLASH,
   title: i18n.t('gotoAnything.actions.slashTitle', { ns: 'app' }),
   description: i18n.t('gotoAnything.actions.slashDesc', { ns: 'app' }),
-  action: (result) => {
-    if (result.type !== 'command')
-      return
-    const { command, args } = result.data
-    executeCommand(command, args)
-  },
   search: async (query, _searchTerm = '') => {
     // Delegate all search logic to the command registry system
     return slashCommandRegistry.search(query, i18n.language)
@@ -32,7 +28,7 @@ export const slashAction: ActionItem = {
 }
 
 // Register/unregister default handlers for slash commands with external dependencies.
-export const registerSlashCommands = (deps: Record<string, any>) => {
+export const registerSlashCommands = (deps: SlashCommandDependencies) => {
   // Register command handlers to the registry system with their respective dependencies
   slashCommandRegistry.register(themeCommand, { setTheme: deps.setTheme })
   slashCommandRegistry.register(languageCommand, { setLocale: deps.setLocale })
@@ -41,6 +37,7 @@ export const registerSlashCommands = (deps: Record<string, any>) => {
   slashCommandRegistry.register(communityCommand, {})
   slashCommandRegistry.register(accountCommand, {})
   slashCommandRegistry.register(zenCommand, {})
+  slashCommandRegistry.register(bananaCommand, {})
 }
 
 export const unregisterSlashCommands = () => {
@@ -52,6 +49,7 @@ export const unregisterSlashCommands = () => {
   slashCommandRegistry.unregister('community')
   slashCommandRegistry.unregister('account')
   slashCommandRegistry.unregister('zen')
+  slashCommandRegistry.unregister('banana')
 }
 
 export const SlashCommandProvider = () => {

web/app/components/goto-anything/actions/commands/types.ts

@@ -1,10 +1,11 @@
 import type { CommandSearchResult } from '../types'
+import type { Locale } from '@/i18n-config/language'
 
 /**
  * Slash command handler interface
  * Each slash command should implement this interface
  */
-export type SlashCommandHandler<TDeps = any> = {
+export type SlashCommandHandler<TDeps = unknown> = {
   /** Command name (e.g., 'theme', 'language') */
   name: string
 
@@ -51,3 +52,31 @@ export type SlashCommandHandler<TDeps = any> = {
    */
   unregister?: () => void
 }
+
+/**
+ * Theme command dependencies
+ */
+export type ThemeCommandDeps = {
+  setTheme?: (value: 'light' | 'dark' | 'system') => void
+}
+
+/**
+ * Language command dependencies
+ */
+export type LanguageCommandDeps = {
+  setLocale?: (locale: Locale, reloadPage?: boolean) => Promise<void>
+}
+
+/**
+ * Commands without external dependencies
+ */
+export type NoDepsCommandDeps = Record<string, never>
+
+/**
+ * Union type of all slash command dependencies
+ * Used for type-safe dependency injection in registerSlashCommands
+ */
+export type SlashCommandDependencies = {
+  setTheme?: (value: 'light' | 'dark' | 'system') => void
+  setLocale?: (locale: Locale, reloadPage?: boolean) => Promise<void>
+}

web/app/components/goto-anything/actions/commands/vibe.spec.tsx

@@ -0,0 +1,150 @@
+import { isInWorkflowPage, VIBE_COMMAND_EVENT } from '@/app/components/workflow/constants'
+import i18n from '@/i18n-config/i18next-config'
+import { registerCommands, unregisterCommands } from './command-bus'
+import { vibeCommand } from './vibe'
+
+vi.mock('@/i18n-config/i18next-config', () => ({
+  default: {
+    t: vi.fn((key: string, options?: Record<string, unknown>) => {
+      if (!options)
+        return key
+      return `${key}:${JSON.stringify(options)}`
+    }),
+  },
+}))
+
+vi.mock('@/app/components/workflow/constants', async () => {
+  const actual = await vi.importActual<typeof import('@/app/components/workflow/constants')>(
+    '@/app/components/workflow/constants',
+  )
+  return {
+    ...actual,
+    isInWorkflowPage: vi.fn(),
+  }
+})
+
+vi.mock('./command-bus', () => ({
+  registerCommands: vi.fn(),
+  unregisterCommands: vi.fn(),
+}))
+
+const mockedIsInWorkflowPage = vi.mocked(isInWorkflowPage)
+const mockedRegisterCommands = vi.mocked(registerCommands)
+const mockedUnregisterCommands = vi.mocked(unregisterCommands)
+const mockedT = vi.mocked(i18n.t)
+
+type CommandArgs = { dsl?: string }
+type CommandMap = Record<string, (args?: CommandArgs) => void | Promise<void>>
+
+beforeEach(() => {
+  vi.clearAllMocks()
+})
+
+// Command availability, search, and registration behavior for workflow vibe.
+describe('vibeCommand', () => {
+  // Availability mirrors workflow page detection.
+  describe('availability', () => {
+    it('should return true when on workflow page', () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const available = vibeCommand.isAvailable?.()
+
+      // Assert
+      expect(available).toBe(true)
+    })
+
+    it('should return false when not on workflow page', () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(false)
+
+      // Act
+      const available = vibeCommand.isAvailable?.()
+
+      // Assert
+      expect(available).toBe(false)
+    })
+  })
+
+  // Search results depend on provided arguments.
+  describe('search', () => {
+    it('should return hint description when args are empty', async () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const result = await vibeCommand.search('   ', 'en')
+
+      // Assert
+      expect(result).toHaveLength(1)
+      const [item] = result
+      expect(item.description).toContain('gotoAnything.actions.vibeHint')
+      expect(item.data?.args?.dsl).toBe('')
+      expect(mockedT).toHaveBeenCalledWith(
+        'gotoAnything.actions.vibeHint',
+        expect.objectContaining({ prompt: expect.any(String), lng: 'en', ns: 'app' }),
+      )
+    })
+
+    it('should return default description when args are provided', async () => {
+      // Arrange
+      mockedIsInWorkflowPage.mockReturnValue(true)
+
+      // Act
+      const result = await vibeCommand.search(' make a flow ', 'en')
+
+      // Assert
+      expect(result).toHaveLength(1)
+      const [item] = result
+      expect(item.description).toContain('gotoAnything.actions.vibeDesc')
+      expect(item.data?.args?.dsl).toBe('make a flow')
+    })
+  })
+
+  // Command registration and event dispatching.
+  describe('registration', () => {
+    it('should register the workflow vibe command', () => {
+      // Act
+      expect(vibeCommand.register).toBeDefined()
+      vibeCommand.register?.({})
+
+      // Assert
+      expect(mockedRegisterCommands).toHaveBeenCalledTimes(1)
+      const commands = mockedRegisterCommands.mock.calls[0]?.[0] as CommandMap
+      expect(commands['workflow.vibe']).toEqual(expect.any(Function))
+    })
+
+    it('should dispatch vibe event when command handler runs', async () => {
+      // Arrange
+      const dispatchSpy = vi.spyOn(document, 'dispatchEvent')
+      expect(vibeCommand.register).toBeDefined()
+      vibeCommand.register?.({})
+      expect(mockedRegisterCommands).toHaveBeenCalledTimes(1)
+      const commands = mockedRegisterCommands.mock.calls[0]?.[0] as CommandMap
+
+      try {
+        // Act
+        await commands['workflow.vibe']?.({ dsl: 'hello' })
+
+        // Assert
+        expect(dispatchSpy).toHaveBeenCalledTimes(1)
+        const event = dispatchSpy.mock.calls[0][0] as CustomEvent
+        expect(event.type).toBe(VIBE_COMMAND_EVENT)
+        expect(event.detail).toEqual({ dsl: 'hello' })
+      }
+      finally {
+        dispatchSpy.mockRestore()
+      }
+    })
+
+    it('should unregister workflow vibe command', () => {
+      // Act
+      expect(vibeCommand.unregister).toBeDefined()
+      vibeCommand.unregister?.()
+
+      // Assert
+      expect(mockedUnregisterCommands).toHaveBeenCalledWith(['workflow.vibe'])
+    })
+  })
+})

web/app/components/goto-anything/actions/commands/vibe.tsx

@@ -0,0 +1,59 @@
+import type { SlashCommandHandler } from './types'
+import { RiSparklingFill } from '@remixicon/react'
+import * as React from 'react'
+import { isInWorkflowPage, VIBE_COMMAND_EVENT } from '@/app/components/workflow/constants'
+import i18n from '@/i18n-config/i18next-config'
+import { registerCommands, unregisterCommands } from './command-bus'
+
+type VibeDeps = Record<string, never>
+
+const VIBE_PROMPT_EXAMPLE = 'Summarize a document, classify sentiment, then notify Slack'
+
+const dispatchVibeCommand = (input?: string) => {
+  if (typeof document === 'undefined')
+    return
+
+  document.dispatchEvent(new CustomEvent(VIBE_COMMAND_EVENT, { detail: { dsl: input } }))
+}
+
+export const vibeCommand: SlashCommandHandler<VibeDeps> = {
+  name: 'vibe',
+  description: i18n.t('gotoAnything.actions.vibeDesc', { ns: 'app' }),
+  mode: 'submenu',
+  isAvailable: () => isInWorkflowPage(),
+
+  async search(args: string, locale: string = 'en') {
+    const trimmed = args.trim()
+    const hasInput = !!trimmed
+
+    return [{
+      id: 'vibe',
+      title: i18n.t('gotoAnything.actions.vibeTitle', { ns: 'app', lng: locale }) || 'Vibe',
+      description: hasInput
+        ? i18n.t('gotoAnything.actions.vibeDesc', { ns: 'app', lng: locale })
+        : i18n.t('gotoAnything.actions.vibeHint', { ns: 'app', lng: locale, prompt: VIBE_PROMPT_EXAMPLE }),
+      type: 'command' as const,
+      icon: (
+        <div className="flex h-6 w-6 items-center justify-center rounded-md border-[0.5px] border-divider-regular bg-components-panel-bg">
+          <RiSparklingFill className="h-4 w-4 text-text-tertiary" />
+        </div>
+      ),
+      data: {
+        command: 'workflow.vibe',
+        args: { dsl: trimmed },
+      },
+    }]
+  },
+
+  register(_deps: VibeDeps) {
+    registerCommands({
+      'workflow.vibe': async (args) => {
+        dispatchVibeCommand(args?.dsl)
+      },
+    })
+  },
+
+  unregister() {
+    unregisterCommands(['workflow.vibe'])
+  },
+}

web/app/components/goto-anything/actions/index.ts

@@ -3,228 +3,66 @@
  *
  * This file defines the action registry for the goto-anything search system.
  * Actions handle different types of searches: apps, knowledge bases, plugins, workflow nodes, and commands.
- *
- * ## How to Add a New Slash Command
- *
- * 1. **Create Command Handler File** (in `./commands/` directory):
- *    ```typescript
- *    // commands/my-command.ts
- *    import type { SlashCommandHandler } from './types'
- *    import type { CommandSearchResult } from '../types'
- *    import { registerCommands, unregisterCommands } from './command-bus'
- *
- *    interface MyCommandDeps {
- *      myService?: (data: any) => Promise<void>
- *    }
- *
- *    export const myCommand: SlashCommandHandler<MyCommandDeps> = {
- *      name: 'mycommand',
- *      aliases: ['mc'], // Optional aliases
- *      description: 'My custom command description',
- *
- *      async search(args: string, locale: string = 'en') {
- *        // Return search results based on args
- *        return [{
- *          id: 'my-result',
- *          title: 'My Command Result',
- *          description: 'Description of the result',
- *          type: 'command' as const,
- *          data: { command: 'my.action', args: { value: args } }
- *        }]
- *      },
- *
- *      register(deps: MyCommandDeps) {
- *        registerCommands({
- *          'my.action': async (args) => {
- *            await deps.myService?.(args?.value)
- *          }
- *        })
- *      },
- *
- *      unregister() {
- *        unregisterCommands(['my.action'])
- *      }
- *    }
- *    ```
- *
- * **Example for Self-Contained Command (no external dependencies):**
- *    ```typescript
- *    // commands/calculator-command.ts
- *    export const calculatorCommand: SlashCommandHandler = {
- *      name: 'calc',
- *      aliases: ['calculator'],
- *      description: 'Simple calculator',
- *
- *      async search(args: string) {
- *        if (!args.trim()) return []
- *        try {
- *          // Safe math evaluation (implement proper parser in real use)
- *          const result = Function('"use strict"; return (' + args + ')')()
- *          return [{
- *            id: 'calc-result',
- *            title: `${args} = ${result}`,
- *            description: 'Calculator result',
- *            type: 'command' as const,
- *            data: { command: 'calc.copy', args: { result: result.toString() } }
- *          }]
- *        } catch {
- *          return [{
- *            id: 'calc-error',
- *            title: 'Invalid expression',
- *            description: 'Please enter a valid math expression',
- *            type: 'command' as const,
- *            data: { command: 'calc.noop', args: {} }
- *          }]
- *        }
- *      },
- *
- *      register() {
- *        registerCommands({
- *          'calc.copy': (args) => navigator.clipboard.writeText(args.result),
- *          'calc.noop': () => {} // No operation
- *        })
- *      },
- *
- *      unregister() {
- *        unregisterCommands(['calc.copy', 'calc.noop'])
- *      }
- *    }
- *    ```
- *
- * 2. **Register Command** (in `./commands/slash.tsx`):
- *    ```typescript
- *    import { myCommand } from './my-command'
- *    import { calculatorCommand } from './calculator-command' // For self-contained commands
- *
- *    export const registerSlashCommands = (deps: Record<string, any>) => {
- *      slashCommandRegistry.register(themeCommand, { setTheme: deps.setTheme })
- *      slashCommandRegistry.register(languageCommand, { setLocale: deps.setLocale })
- *      slashCommandRegistry.register(myCommand, { myService: deps.myService }) // With dependencies
- *      slashCommandRegistry.register(calculatorCommand) // Self-contained, no dependencies
- *    }
- *
- *    export const unregisterSlashCommands = () => {
- *      slashCommandRegistry.unregister('theme')
- *      slashCommandRegistry.unregister('language')
- *      slashCommandRegistry.unregister('mycommand')
- *      slashCommandRegistry.unregister('calc') // Add this line
- *    }
- *    ```
- *
- *
- * 3. **Update SlashCommandProvider** (in `./commands/slash.tsx`):
- *    ```typescript
- *    export const SlashCommandProvider = () => {
- *      const theme = useTheme()
- *      const myService = useMyService() // Add external dependency if needed
- *
- *      useEffect(() => {
- *        registerSlashCommands({
- *          setTheme: theme.setTheme,          // Required for theme command
- *          setLocale: setLocaleOnClient,      // Required for language command
- *          myService: myService,              // Required for your custom command
- *          // Note: calculatorCommand doesn't need dependencies, so not listed here
- *        })
- *        return () => unregisterSlashCommands()
- *      }, [theme.setTheme, myService]) // Update dependency array for all dynamic deps
- *
- *      return null
- *    }
- *    ```
- *
- *    **Note:** Self-contained commands (like calculator) don't require dependencies but are
- *    still registered through the same system for consistent lifecycle management.
- *
- * 4. **Usage**: Users can now type `/mycommand` or `/mc` to use your command
- *
- * ## Command System Architecture
- * - Commands are registered via `SlashCommandRegistry`
- * - Each command is self-contained with its own dependencies
- * - Commands support aliases for easier access
- * - Command execution is handled by the command bus system
- * - All commands should be registered through `SlashCommandProvider` for consistent lifecycle management
- *
- * ## Command Types
- * **Commands with External Dependencies:**
- * - Require external services, APIs, or React hooks
- * - Must provide dependencies in `SlashCommandProvider`
- * - Example: theme commands (needs useTheme), API commands (needs service)
- *
- * **Self-Contained Commands:**
- * - Pure logic operations, no external dependencies
- * - Still recommended to register through `SlashCommandProvider` for consistency
- * - Example: calculator, text manipulation commands
- *
- * ## Available Actions
- * - `@app` - Search applications
- * - `@knowledge` / `@kb` - Search knowledge bases
- * - `@plugin` - Search plugins
- * - `@node` - Search workflow nodes (workflow pages only)
- * - `/` - Execute slash commands (theme, language, etc.)
  */
 
-import type { ActionItem, SearchResult } from './types'
-import { appAction } from './app'
-import { slashAction } from './commands'
+import type { ScopeContext, ScopeDescriptor, SearchResult } from './types'
+import { ACTION_KEYS } from '../constants'
+import { appScope } from './app'
+import { slashScope } from './commands'
 import { slashCommandRegistry } from './commands/registry'
-import { knowledgeAction } from './knowledge'
-import { pluginAction } from './plugin'
-import { ragPipelineNodesAction } from './rag-pipeline-nodes'
-import { workflowNodesAction } from './workflow-nodes'
+import { knowledgeScope } from './knowledge'
+import { pluginScope } from './plugin'
+import { registerRagPipelineNodeScope } from './rag-pipeline-nodes'
+import { scopeRegistry, useScopeRegistry } from './scope-registry'
+import { registerWorkflowNodeScope } from './workflow-nodes'
 
-// Create dynamic Actions based on context
-export const createActions = (isWorkflowPage: boolean, isRagPipelinePage: boolean) => {
-  const baseActions = {
-    slash: slashAction,
-    app: appAction,
-    knowledge: knowledgeAction,
-    plugin: pluginAction,
-  }
+let scopesInitialized = false
 
-  // Add appropriate node search based on context
-  if (isRagPipelinePage) {
-    return {
-      ...baseActions,
-      node: ragPipelineNodesAction,
-    }
-  }
-  else if (isWorkflowPage) {
-    return {
-      ...baseActions,
-      node: workflowNodesAction,
-    }
-  }
+export const initGotoAnythingScopes = () => {
+  if (scopesInitialized)
+    return
 
-  // Default actions without node search
-  return baseActions
+  scopesInitialized = true
+
+  scopeRegistry.register(slashScope)
+  scopeRegistry.register(appScope)
+  scopeRegistry.register(knowledgeScope)
+  scopeRegistry.register(pluginScope)
+  registerWorkflowNodeScope()
+  registerRagPipelineNodeScope()
 }
 
-// Legacy export for backward compatibility
-export const Actions = {
-  slash: slashAction,
-  app: appAction,
-  knowledge: knowledgeAction,
-  plugin: pluginAction,
-  node: workflowNodesAction,
+export const useGotoAnythingScopes = (context: ScopeContext) => {
+  initGotoAnythingScopes()
+  return useScopeRegistry(context)
 }
 
+const isSlashScope = (scope: ScopeDescriptor) => {
+  if (scope.shortcut === ACTION_KEYS.SLASH)
+    return true
+  return scope.aliases?.includes(ACTION_KEYS.SLASH) ?? false
+}
+
+const getScopeShortcuts = (scope: ScopeDescriptor) => [scope.shortcut, ...(scope.aliases ?? [])]
+
 export const searchAnything = async (
   locale: string,
   query: string,
-  actionItem?: ActionItem,
-  dynamicActions?: Record<string, ActionItem>,
+  scope: ScopeDescriptor | undefined,
+  scopes: ScopeDescriptor[],
 ): Promise<SearchResult[]> => {
   const trimmedQuery = query.trim()
 
-  if (actionItem) {
+  if (scope) {
     const escapeRegExp = (value: string) => value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')
-    const prefixPattern = new RegExp(`^(${escapeRegExp(actionItem.key)}|${escapeRegExp(actionItem.shortcut)})\\s*`)
+    const shortcuts = getScopeShortcuts(scope).map(escapeRegExp)
+    const prefixPattern = new RegExp(`^(${shortcuts.join('|')})\\s*`)
     const searchTerm = trimmedQuery.replace(prefixPattern, '').trim()
     try {
-      return await actionItem.search(query, searchTerm, locale)
+      return await scope.search(query, searchTerm, locale)
     }
     catch (error) {
-      console.warn(`Search failed for ${actionItem.key}:`, error)
+      console.warn(`Search failed for ${scope.id}:`, error)
       return []
     }
   }
@@ -232,19 +70,19 @@ export const searchAnything = async (
   if (trimmedQuery.startsWith('@') || trimmedQuery.startsWith('/'))
     return []
 
-  const globalSearchActions = Object.values(dynamicActions || Actions)
-    // Exclude slash commands from general search results
-    .filter(action => action.key !== '/')
+  // Filter out slash commands from general search
+  const searchScopes = scopes.filter(scope => !isSlashScope(scope))
 
   // Use Promise.allSettled to handle partial failures gracefully
-  const searchPromises = globalSearchActions.map(async (action) => {
+  const searchPromises = searchScopes.map(async (action) => {
+    const actionId = action.id
     try {
       const results = await action.search(query, query, locale)
-      return { success: true, data: results, actionType: action.key }
+      return { success: true, data: results, actionType: actionId }
     }
     catch (error) {
-      console.warn(`Search failed for ${action.key}:`, error)
-      return { success: false, data: [], actionType: action.key, error }
+      console.warn(`Search failed for ${actionId}:`, error)
+      return { success: false, data: [], actionType: actionId, error }
     }
   })
 
@@ -258,7 +96,7 @@ export const searchAnything = async (
       allResults.push(...result.value.data)
     }
     else {
-      const actionKey = globalSearchActions[index]?.key || 'unknown'
+      const actionKey = searchScopes[index]?.id || 'unknown'
       failedActions.push(actionKey)
     }
   })
@@ -269,31 +107,31 @@ export const searchAnything = async (
   return allResults
 }
 
-export const matchAction = (query: string, actions: Record<string, ActionItem>) => {
-  return Object.values(actions).find((action) => {
-    // Special handling for slash commands
-    if (action.key === '/') {
-      // Get all registered commands from the registry
-      const allCommands = slashCommandRegistry.getAllCommands()
+// ...
 
-      // Check if query matches any registered command
+export const matchAction = (query: string, scopes: ScopeDescriptor[]) => {
+  const escapeRegExp = (value: string) => value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')
+  return scopes.find((scope) => {
+    // Special handling for slash commands
+    if (isSlashScope(scope)) {
+      const allCommands = slashCommandRegistry.getAllCommands()
       return allCommands.some((cmd) => {
         const cmdPattern = `/${cmd.name}`
-
-        // For direct mode commands, don't match (keep in command selector)
         if (cmd.mode === 'direct')
           return false
-
-        // For submenu mode commands, match when complete command is entered
         return query === cmdPattern || query.startsWith(`${cmdPattern} `)
       })
     }
 
-    const reg = new RegExp(`^(${action.key}|${action.shortcut})(?:\\s|$)`)
+    // Check if query matches shortcut (exact or prefix)
+    // Only match if it's the full shortcut followed by space
+    const shortcuts = getScopeShortcuts(scope).map(escapeRegExp)
+    const reg = new RegExp(`^(${shortcuts.join('|')})(?:\\s|$)`)
     return reg.test(query)
   })
 }
 
 export * from './commands'
+export * from './scope-registry'
 export * from './types'
-export { appAction, knowledgeAction, pluginAction, workflowNodesAction }
+export { appScope, knowledgeScope, pluginScope }

web/app/components/goto-anything/actions/knowledge.tsx

@@ -1,8 +1,9 @@
-import type { ActionItem, KnowledgeSearchResult } from './types'
+import type { KnowledgeSearchResult, ScopeDescriptor } from './types'
 import type { DataSet } from '@/models/datasets'
 import { fetchDatasets } from '@/service/datasets'
 import { cn } from '@/utils/classnames'
 import { Folder } from '../../base/icons/src/vender/solid/files'
+import { ACTION_KEYS } from '../constants'
 
 const EXTERNAL_PROVIDER = 'external' as const
 const isExternalProvider = (provider: string): boolean => provider === EXTERNAL_PROVIDER
@@ -30,9 +31,10 @@ const parser = (datasets: DataSet[]): KnowledgeSearchResult[] => {
   })
 }
 
-export const knowledgeAction: ActionItem = {
-  key: '@knowledge',
-  shortcut: '@kb',
+export const knowledgeScope: ScopeDescriptor = {
+  id: 'knowledge',
+  shortcut: ACTION_KEYS.KNOWLEDGE,
+  aliases: ['@kb'],
   title: 'Search Knowledge Bases',
   description: 'Search and navigate to your knowledge bases',
   // action,

web/app/components/goto-anything/actions/plugin.tsx

@@ -1,9 +1,10 @@
 import type { Plugin, PluginsFromMarketplaceResponse } from '../../plugins/types'
-import type { ActionItem, PluginSearchResult } from './types'
+import type { PluginSearchResult, ScopeDescriptor } from './types'
 import { renderI18nObject } from '@/i18n-config'
 import { postMarketplace } from '@/service/base'
 import Icon from '../../plugins/card/base/card-icon'
 import { getPluginIconInMarketplace } from '../../plugins/marketplace/utils'
+import { ACTION_KEYS } from '../constants'
 
 const parser = (plugins: Plugin[], locale: string): PluginSearchResult[] => {
   return plugins.map((plugin) => {
@@ -18,9 +19,9 @@ const parser = (plugins: Plugin[], locale: string): PluginSearchResult[] => {
   })
 }
 
-export const pluginAction: ActionItem = {
-  key: '@plugin',
-  shortcut: '@plugin',
+export const pluginScope: ScopeDescriptor = {
+  id: 'plugin',
+  shortcut: ACTION_KEYS.PLUGIN,
   title: 'Search Plugins',
   description: 'Search and navigate to your plugins',
   search: async (_, searchTerm = '', locale) => {

web/app/components/goto-anything/actions/rag-pipeline-nodes.tsx

@@ -1,24 +1,41 @@
-import type { ActionItem } from './types'
+import type { ScopeSearchHandler } from './scope-registry'
+import type { SearchResult } from './types'
+import { ACTION_KEYS } from '../constants'
+import { scopeRegistry } from './scope-registry'
 
-// Create the RAG pipeline nodes action
-export const ragPipelineNodesAction: ActionItem = {
-  key: '@node',
-  shortcut: '@node',
-  title: 'Search RAG Pipeline Nodes',
-  description: 'Find and jump to nodes in the current RAG pipeline by name or type',
-  searchFn: undefined, // Will be set by useRagPipelineSearch hook
-  search: async (_, searchTerm = '', _locale) => {
+const scopeId = 'rag-pipeline-node'
+let scopeRegistered = false
+
+const buildSearchHandler = (searchFn?: (searchTerm: string) => SearchResult[]): ScopeSearchHandler => {
+  return async (_, searchTerm = '', _locale) => {
     try {
-      // Use the searchFn if available (set by useRagPipelineSearch hook)
-      if (ragPipelineNodesAction.searchFn)
-        return ragPipelineNodesAction.searchFn(searchTerm)
-
-      // If not in RAG pipeline context, return empty array
+      if (searchFn)
+        return searchFn(searchTerm)
       return []
     }
     catch (error) {
       console.warn('RAG pipeline nodes search failed:', error)
       return []
     }
-  },
+  }
+}
+
+export const registerRagPipelineNodeScope = () => {
+  if (scopeRegistered)
+    return
+
+  scopeRegistered = true
+  scopeRegistry.register({
+    id: scopeId,
+    shortcut: ACTION_KEYS.NODE,
+    title: 'Search RAG Pipeline Nodes',
+    description: 'Find and jump to nodes in the current RAG pipeline by name or type',
+    isAvailable: context => context.isRagPipelinePage,
+    search: buildSearchHandler(),
+  })
+}
+
+export const setRagPipelineNodesSearchFn = (fn: (searchTerm: string) => SearchResult[]) => {
+  registerRagPipelineNodeScope()
+  scopeRegistry.updateSearchHandler(scopeId, buildSearchHandler(fn))
 }

web/app/components/goto-anything/actions/scope-registry.ts

@@ -0,0 +1,123 @@
+import type { SearchResult } from './types'
+
+import { useCallback, useMemo, useSyncExternalStore } from 'react'
+
+export type ScopeContext = {
+  isWorkflowPage: boolean
+  isRagPipelinePage: boolean
+  isAdmin?: boolean
+}
+
+export type ScopeSearchHandler = (
+  query: string,
+  searchTerm: string,
+  locale?: string,
+) => Promise<SearchResult[]> | SearchResult[]
+
+export type ScopeDescriptor = {
+  /**
+   * Unique identifier for the scope (e.g. 'app', 'plugin')
+   */
+  id: string
+  /**
+   * Shortcut to trigger this scope (e.g. '@app')
+   */
+  shortcut: string
+  /**
+   * Additional shortcuts that map to this scope (e.g. ['@kb'])
+   */
+  aliases?: string[]
+  /**
+   * I18n key or string for the scope title
+   */
+  title: string
+  /**
+   * Description for help text
+   */
+  description: string
+  /**
+   * Search handler function
+   */
+  search: ScopeSearchHandler
+  /**
+   * Predicate to check if this scope is available in current context
+   */
+  isAvailable?: (context: ScopeContext) => boolean
+}
+
+type Listener = () => void
+
+class ScopeRegistry {
+  private scopes: Map<string, ScopeDescriptor> = new Map()
+  private listeners: Set<Listener> = new Set()
+  private version = 0
+
+  register(scope: ScopeDescriptor) {
+    this.scopes.set(scope.id, scope)
+    this.notify()
+  }
+
+  unregister(id: string) {
+    if (this.scopes.delete(id))
+      this.notify()
+  }
+
+  getScope(id: string) {
+    return this.scopes.get(id)
+  }
+
+  getScopes(context: ScopeContext): ScopeDescriptor[] {
+    return Array.from(this.scopes.values())
+      .filter(scope => !scope.isAvailable || scope.isAvailable(context))
+      .sort((a, b) => a.shortcut.localeCompare(b.shortcut))
+  }
+
+  updateSearchHandler(id: string, search: ScopeSearchHandler) {
+    const scope = this.scopes.get(id)
+    if (!scope)
+      return
+    this.scopes.set(id, { ...scope, search })
+    this.notify()
+  }
+
+  getVersion() {
+    return this.version
+  }
+
+  subscribe(listener: Listener) {
+    this.listeners.add(listener)
+    return () => {
+      this.listeners.delete(listener)
+    }
+  }
+
+  private notify() {
+    this.version += 1
+    this.listeners.forEach(listener => listener())
+  }
+}
+
+export const scopeRegistry = new ScopeRegistry()
+
+export const useScopeRegistry = (context: ScopeContext) => {
+  const subscribe = useCallback(
+    (listener: Listener) => scopeRegistry.subscribe(listener),
+    [],
+  )
+
+  const getSnapshot = useCallback(
+    () => scopeRegistry.getVersion(),
+    [],
+  )
+
+  const version = useSyncExternalStore(
+    subscribe,
+    getSnapshot,
+    getSnapshot,
+  )
+
+  return useMemo(
+    () => scopeRegistry.getScopes(context),
+    [version, context.isWorkflowPage, context.isRagPipelinePage, context.isAdmin],
+  )
+}

web/app/components/goto-anything/actions/types.ts

@@ -1,5 +1,4 @@
 import type { ReactNode } from 'react'
-import type { TypeWithI18N } from '../../base/form/types'
 import type { Plugin } from '../../plugins/types'
 import type { CommonNodeType } from '../../workflow/types'
 import type { DataSet } from '@/models/datasets'
@@ -7,7 +6,7 @@ import type { App } from '@/types/app'
 
 export type SearchResultType = 'app' | 'knowledge' | 'plugin' | 'workflow-node' | 'command'
 
-export type BaseSearchResult<T = any> = {
+export type BaseSearchResult<T = unknown> = {
   id: string
   title: string
   description?: string
@@ -39,20 +38,8 @@ export type WorkflowNodeSearchResult = {
 
 export type CommandSearchResult = {
   type: 'command'
-} & BaseSearchResult<{ command: string, args?: Record<string, any> }>
+} & BaseSearchResult<{ command: string, args?: Record<string, unknown> }>
 
 export type SearchResult = AppSearchResult | PluginSearchResult | KnowledgeSearchResult | WorkflowNodeSearchResult | CommandSearchResult
 
-export type ActionItem = {
-  key: '@app' | '@knowledge' | '@plugin' | '@node' | '/'
-  shortcut: string
-  title: string | TypeWithI18N
-  description: string
-  action?: (data: SearchResult) => void
-  searchFn?: (searchTerm: string) => SearchResult[]
-  search: (
-    query: string,
-    searchTerm: string,
-    locale?: string,
-  ) => (Promise<SearchResult[]> | SearchResult[])
-}
+export type { ScopeContext, ScopeDescriptor } from './scope-registry'

web/app/components/goto-anything/actions/workflow-nodes.tsx

@@ -1,24 +1,41 @@
-import type { ActionItem } from './types'
+import type { ScopeSearchHandler } from './scope-registry'
+import type { SearchResult } from './types'
+import { ACTION_KEYS } from '../constants'
+import { scopeRegistry } from './scope-registry'
 
-// Create the workflow nodes action
-export const workflowNodesAction: ActionItem = {
-  key: '@node',
-  shortcut: '@node',
-  title: 'Search Workflow Nodes',
-  description: 'Find and jump to nodes in the current workflow by name or type',
-  searchFn: undefined, // Will be set by useWorkflowSearch hook
-  search: async (_, searchTerm = '', _locale) => {
+const scopeId = 'workflow-node'
+let scopeRegistered = false
+
+const buildSearchHandler = (searchFn?: (searchTerm: string) => SearchResult[]): ScopeSearchHandler => {
+  return async (_, searchTerm = '', _locale) => {
     try {
-      // Use the searchFn if available (set by useWorkflowSearch hook)
-      if (workflowNodesAction.searchFn)
-        return workflowNodesAction.searchFn(searchTerm)
-
-      // If not in workflow context, return empty array
+      if (searchFn)
+        return searchFn(searchTerm)
       return []
     }
     catch (error) {
       console.warn('Workflow nodes search failed:', error)
       return []
     }
-  },
+  }
+}
+
+export const registerWorkflowNodeScope = () => {
+  if (scopeRegistered)
+    return
+
+  scopeRegistered = true
+  scopeRegistry.register({
+    id: scopeId,
+    shortcut: ACTION_KEYS.NODE,
+    title: 'Search Workflow Nodes',
+    description: 'Find and jump to nodes in the current workflow by name or type',
+    isAvailable: context => context.isWorkflowPage,
+    search: buildSearchHandler(),
+  })
+}
+
+export const setWorkflowNodesSearchFn = (fn: (searchTerm: string) => SearchResult[]) => {
+  registerWorkflowNodeScope()
+  scopeRegistry.updateSearchHandler(scopeId, buildSearchHandler(fn))
 }

web/app/components/goto-anything/command-selector.spec.tsx

@@ -1,5 +1,5 @@
-import type { ActionItem } from './actions/types'
-import { render, screen } from '@testing-library/react'
+import type { ScopeDescriptor } from './actions/scope-registry'
+import { render, screen, waitFor } from '@testing-library/react'
 import userEvent from '@testing-library/user-event'
 import { Command } from 'cmdk'
 import * as React from 'react'
@@ -22,63 +22,229 @@ vi.mock('./actions/commands/registry', () => ({
   },
 }))
 
-const createActions = (): Record<string, ActionItem> => ({
-  app: {
-    key: '@app',
+type CommandSelectorProps = React.ComponentProps<typeof CommandSelector>
+
+const mockScopes: ScopeDescriptor[] = [
+  {
+    id: 'app',
     shortcut: '@app',
-    title: 'Apps',
+    title: 'Search Applications',
+    description: 'Search apps',
     search: vi.fn(),
-    description: '',
-  } as ActionItem,
-  plugin: {
-    key: '@plugin',
+  },
+  {
+    id: 'knowledge',
+    shortcut: '@knowledge',
+    title: 'Search Knowledge Bases',
+    description: 'Search knowledge bases',
+    search: vi.fn(),
+  },
+  {
+    id: 'plugin',
     shortcut: '@plugin',
-    title: 'Plugins',
+    title: 'Search Plugins',
+    description: 'Search plugins',
     search: vi.fn(),
-    description: '',
-  } as ActionItem,
-})
+  },
+  {
+    id: 'workflow-node',
+    shortcut: '@node',
+    title: 'Search Nodes',
+    description: 'Search workflow nodes',
+    search: vi.fn(),
+  },
+]
+
+const mockOnCommandSelect = vi.fn()
+const mockOnCommandValueChange = vi.fn()
+
+const buildCommandSelector = (props: Partial<CommandSelectorProps> = {}) => (
+  <Command>
+    <Command.List>
+      <CommandSelector
+        scopes={mockScopes}
+        onCommandSelect={mockOnCommandSelect}
+        {...props}
+      />
+    </Command.List>
+  </Command>
+)
+
+const renderCommandSelector = (props: Partial<CommandSelectorProps> = {}) => {
+  return render(buildCommandSelector(props))
+}
 
 describe('CommandSelector', () => {
-  it('should list contextual search actions and notify selection', async () => {
-    const actions = createActions()
-    const onSelect = vi.fn()
-
-    render(
-      <Command>
-        <CommandSelector
-          actions={actions}
-          onCommandSelect={onSelect}
-          searchFilter="app"
-          originalQuery="@app"
-        />
-      </Command>,
-    )
-
-    const actionButton = screen.getByText('app.gotoAnything.actions.searchApplicationsDesc')
-    await userEvent.click(actionButton)
-
-    expect(onSelect).toHaveBeenCalledWith('@app')
+  beforeEach(() => {
+    vi.clearAllMocks()
   })
 
-  it('should render slash commands when query starts with slash', async () => {
-    const actions = createActions()
-    const onSelect = vi.fn()
+  describe('Basic Rendering', () => {
+    it('should render all scopes when no filter is provided', () => {
+      renderCommandSelector()
 
-    render(
-      <Command>
-        <CommandSelector
-          actions={actions}
-          onCommandSelect={onSelect}
-          searchFilter="zen"
-          originalQuery="/zen"
-        />
-      </Command>,
-    )
+      expect(screen.getByText('@app')).toBeInTheDocument()
+      expect(screen.getByText('@knowledge')).toBeInTheDocument()
+      expect(screen.getByText('@plugin')).toBeInTheDocument()
+      expect(screen.getByText('@node')).toBeInTheDocument()
+    })
 
-    const slashItem = await screen.findByText('app.gotoAnything.actions.zenDesc')
-    await userEvent.click(slashItem)
+    it('should render empty filter as showing all scopes', () => {
+      renderCommandSelector({ searchFilter: '' })
 
-    expect(onSelect).toHaveBeenCalledWith('/zen')
+      expect(screen.getByText('@app')).toBeInTheDocument()
+      expect(screen.getByText('@knowledge')).toBeInTheDocument()
+      expect(screen.getByText('@plugin')).toBeInTheDocument()
+      expect(screen.getByText('@node')).toBeInTheDocument()
+    })
+  })
+
+  describe('Filtering Functionality', () => {
+    it('should filter scopes based on searchFilter - single match', () => {
+      renderCommandSelector({ searchFilter: 'k' })
+
+      expect(screen.queryByText('@app')).not.toBeInTheDocument()
+      expect(screen.getByText('@knowledge')).toBeInTheDocument()
+      expect(screen.queryByText('@plugin')).not.toBeInTheDocument()
+      expect(screen.queryByText('@node')).not.toBeInTheDocument()
+    })
+
+    it('should filter scopes with multiple matches', () => {
+      renderCommandSelector({ searchFilter: 'p' })
+
+      expect(screen.getByText('@app')).toBeInTheDocument()
+      expect(screen.queryByText('@knowledge')).not.toBeInTheDocument()
+      expect(screen.getByText('@plugin')).toBeInTheDocument()
+      expect(screen.queryByText('@node')).not.toBeInTheDocument()
+    })
+
+    it('should be case-insensitive when filtering', () => {
+      renderCommandSelector({ searchFilter: 'APP' })
+
+      expect(screen.getByText('@app')).toBeInTheDocument()
+      expect(screen.queryByText('@knowledge')).not.toBeInTheDocument()
+    })
+
+    it('should match partial strings', () => {
+      renderCommandSelector({ searchFilter: 'od' })
+
+      expect(screen.queryByText('@app')).not.toBeInTheDocument()
+      expect(screen.queryByText('@knowledge')).not.toBeInTheDocument()
+      expect(screen.queryByText('@plugin')).not.toBeInTheDocument()
+      expect(screen.getByText('@node')).toBeInTheDocument()
+    })
+  })
+
+  describe('Empty State', () => {
+    it('should show empty state when no matches found', () => {
+      renderCommandSelector({ searchFilter: 'xyz' })
+
+      expect(screen.queryByText('@app')).not.toBeInTheDocument()
+      expect(screen.queryByText('@knowledge')).not.toBeInTheDocument()
+      expect(screen.queryByText('@plugin')).not.toBeInTheDocument()
+      expect(screen.queryByText('@node')).not.toBeInTheDocument()
+
+      expect(screen.getByText('app.gotoAnything.noMatchingCommands')).toBeInTheDocument()
+      expect(screen.getByText('app.gotoAnything.tryDifferentSearch')).toBeInTheDocument()
+    })
+
+    it('should not show empty state when filter is empty', () => {
+      renderCommandSelector({ searchFilter: '' })
+
+      expect(screen.queryByText('app.gotoAnything.noMatchingCommands')).not.toBeInTheDocument()
+    })
+  })
+
+  describe('Selection and Highlight Management', () => {
+    it('should call onCommandValueChange when filter changes and first item differs', async () => {
+      const { rerender } = renderCommandSelector({
+        searchFilter: '',
+        commandValue: '@app',
+        onCommandValueChange: mockOnCommandValueChange,
+      })
+
+      rerender(buildCommandSelector({
+        searchFilter: 'k',
+        commandValue: '@app',
+        onCommandValueChange: mockOnCommandValueChange,
+      }))
+
+      await waitFor(() => {
+        expect(mockOnCommandValueChange).toHaveBeenCalledWith('@knowledge')
+      })
+    })
+
+    it('should not call onCommandValueChange if current value still exists', async () => {
+      const { rerender } = renderCommandSelector({
+        searchFilter: '',
+        commandValue: '@app',
+        onCommandValueChange: mockOnCommandValueChange,
+      })
+
+      rerender(buildCommandSelector({
+        searchFilter: 'a',
+        commandValue: '@app',
+        onCommandValueChange: mockOnCommandValueChange,
+      }))
+
+      await waitFor(() => {
+        expect(mockOnCommandValueChange).not.toHaveBeenCalled()
+      })
+    })
+
+    it('should handle onCommandSelect callback correctly', async () => {
+      const user = userEvent.setup()
+      renderCommandSelector({ searchFilter: 'k' })
+
+      await user.click(screen.getByText('@knowledge'))
+
+      expect(mockOnCommandSelect).toHaveBeenCalledWith('@knowledge')
+    })
+  })
+
+  describe('Edge Cases', () => {
+    it('should handle empty scopes array', () => {
+      renderCommandSelector({ scopes: [] })
+
+      expect(screen.getByText('app.gotoAnything.noMatchingCommands')).toBeInTheDocument()
+    })
+
+    it('should handle special characters in filter', () => {
+      renderCommandSelector({ searchFilter: '@' })
+
+      expect(screen.getByText('@app')).toBeInTheDocument()
+      expect(screen.getByText('@knowledge')).toBeInTheDocument()
+      expect(screen.getByText('@plugin')).toBeInTheDocument()
+      expect(screen.getByText('@node')).toBeInTheDocument()
+    })
+
+    it('should handle undefined onCommandValueChange gracefully', () => {
+      const { rerender } = renderCommandSelector({ searchFilter: '' })
+
+      expect(() => {
+        rerender(buildCommandSelector({ searchFilter: 'k' }))
+      }).not.toThrow()
+    })
+  })
+
+  describe('User Interactions', () => {
+    it('should list contextual scopes and notify selection', async () => {
+      const user = userEvent.setup()
+      renderCommandSelector({ searchFilter: 'app', originalQuery: '@app' })
+
+      await user.click(screen.getByText('app.gotoAnything.actions.searchApplicationsDesc'))
+
+      expect(mockOnCommandSelect).toHaveBeenCalledWith('@app')
+    })
+
+    it('should render slash commands when query starts with slash', async () => {
+      const user = userEvent.setup()
+      renderCommandSelector({ searchFilter: 'zen', originalQuery: '/zen' })
+
+      const slashItem = await screen.findByText('app.gotoAnything.actions.zenDesc')
+      await user.click(slashItem)
+
+      expect(mockOnCommandSelect).toHaveBeenCalledWith('/zen')
+    })
   })
 })

web/app/components/goto-anything/command-selector.tsx

@@ -1,13 +1,14 @@
 import type { FC } from 'react'
-import type { ActionItem } from './actions/types'
+import type { ScopeDescriptor } from './actions/scope-registry'
 import { Command } from 'cmdk'
 import { usePathname } from 'next/navigation'
 import { useEffect, useMemo } from 'react'
 import { useTranslation } from 'react-i18next'
 import { slashCommandRegistry } from './actions/commands/registry'
+import { ACTION_KEYS } from './constants'
 
 type Props = {
-  actions: Record<string, ActionItem>
+  scopes: ScopeDescriptor[]
   onCommandSelect: (commandKey: string) => void
   searchFilter?: string
   commandValue?: string
@@ -15,7 +16,7 @@ type Props = {
   originalQuery?: string
 }
 
-const CommandSelector: FC<Props> = ({ actions, onCommandSelect, searchFilter, commandValue, onCommandValueChange, originalQuery }) => {
+const CommandSelector: FC<Props> = ({ scopes, onCommandSelect, searchFilter, commandValue, onCommandValueChange, originalQuery }) => {
   const { t } = useTranslation()
   const pathname = usePathname()
 
@@ -43,22 +44,31 @@ const CommandSelector: FC<Props> = ({ actions, onCommandSelect, searchFilter, co
     }))
   }, [isSlashMode, searchFilter, pathname])
 
-  const filteredActions = useMemo(() => {
+  const filteredScopes = useMemo(() => {
     if (isSlashMode)
       return []
 
-    return Object.values(actions).filter((action) => {
+    return scopes.filter((scope) => {
       // Exclude slash action when in @ mode
-      if (action.key === '/')
+      if (scope.id === 'slash' || scope.shortcut === ACTION_KEYS.SLASH)
         return false
       if (!searchFilter)
         return true
-      const filterLower = searchFilter.toLowerCase()
-      return action.shortcut.toLowerCase().includes(filterLower)
-    })
-  }, [actions, searchFilter, isSlashMode])
 
-  const allItems = isSlashMode ? slashCommands : filteredActions
+      // Match against shortcut/aliases or title
+      const filterLower = searchFilter.toLowerCase()
+      const shortcuts = [scope.shortcut, ...(scope.aliases || [])]
+      return shortcuts.some(shortcut => shortcut.toLowerCase().includes(filterLower))
+        || scope.title.toLowerCase().includes(filterLower)
+    }).map(scope => ({
+      key: scope.shortcut, // Map to shortcut for UI display consistency
+      shortcut: scope.shortcut,
+      title: scope.title,
+      description: scope.description,
+    }))
+  }, [scopes, searchFilter, isSlashMode])
+
+  const allItems = isSlashMode ? slashCommands : filteredScopes
 
   useEffect(() => {
     if (allItems.length > 0 && onCommandValueChange) {
@@ -116,6 +126,7 @@ const CommandSelector: FC<Props> = ({ actions, onCommandSelect, searchFilter, co
                         '/docs': 'gotoAnything.actions.docDesc',
                         '/community': 'gotoAnything.actions.communityDesc',
                         '/zen': 'gotoAnything.actions.zenDesc',
+                        '/banana': 'gotoAnything.actions.vibeDesc',
                       } as const
                       return t(slashKeyMap[item.key as keyof typeof slashKeyMap] || item.description, { ns: 'app' })
                     })()

web/app/components/goto-anything/constants.ts

@@ -0,0 +1,20 @@
+/**
+ * Goto Anything Constants
+ * Centralized constants for action keys
+ */
+
+/**
+ * Action keys for scope-based searches
+ */
+export const ACTION_KEYS = {
+  APP: '@app',
+  KNOWLEDGE: '@knowledge',
+  PLUGIN: '@plugin',
+  NODE: '@node',
+  SLASH: '/',
+} as const
+
+/**
+ * Type-safe action key union type
+ */
+export type ActionKey = typeof ACTION_KEYS[keyof typeof ACTION_KEYS]

web/app/components/goto-anything/hooks/use-search.ts

@@ -0,0 +1,93 @@
+import { keepPreviousData, useQuery } from '@tanstack/react-query'
+import { useDebounce } from 'ahooks'
+import { useMemo } from 'react'
+import { useGetLanguage } from '@/context/i18n'
+import { matchAction, searchAnything, useGotoAnythingScopes } from '../actions'
+import { ACTION_KEYS } from '../constants'
+import { useGotoAnythingContext } from '../context'
+
+export const useSearch = (searchQuery: string) => {
+  const defaultLocale = useGetLanguage()
+  const { isWorkflowPage, isRagPipelinePage } = useGotoAnythingContext()
+
+  // Fetch scopes from registry based on context
+  const scopes = useGotoAnythingScopes({ isWorkflowPage, isRagPipelinePage })
+
+  const searchQueryDebouncedValue = useDebounce(searchQuery.trim(), {
+    wait: 300,
+  })
+
+  const isCommandsMode = searchQuery.trim() === '@' || searchQuery.trim() === '/'
+    || (searchQuery.trim().startsWith('@') && !matchAction(searchQuery.trim(), scopes))
+    || (searchQuery.trim().startsWith('/') && !matchAction(searchQuery.trim(), scopes))
+
+  const searchMode = useMemo(() => {
+    if (isCommandsMode) {
+      // Distinguish between @ (scopes) and / (commands) mode
+      if (searchQuery.trim().startsWith('@'))
+        return 'scopes'
+      else if (searchQuery.trim().startsWith('/'))
+        return 'commands'
+      return 'commands' // default fallback
+    }
+
+    const query = searchQueryDebouncedValue.toLowerCase()
+    const action = matchAction(query, scopes)
+
+    if (!action)
+      return 'general'
+
+    if (action.id === 'slash' || action.shortcut === ACTION_KEYS.SLASH)
+      return '@command'
+
+    return action.shortcut
+  }, [searchQueryDebouncedValue, scopes, isCommandsMode, searchQuery])
+
+  const { data: searchResults = [], isLoading, isError, error } = useQuery(
+    {
+      queryKey: [
+        'goto-anything',
+        'search-result',
+        searchQueryDebouncedValue,
+        searchMode,
+        isWorkflowPage,
+        isRagPipelinePage,
+        defaultLocale,
+        scopes.map(s => s.id).sort().join(','),
+      ],
+      queryFn: async () => {
+        const query = searchQueryDebouncedValue.toLowerCase()
+        const scope = matchAction(query, scopes)
+        return await searchAnything(defaultLocale, query, scope, scopes)
+      },
+      enabled: !!searchQueryDebouncedValue && !isCommandsMode,
+      staleTime: 30000,
+      gcTime: 300000,
+      placeholderData: keepPreviousData,
+    },
+  )
+
+  const dedupedResults = useMemo(() => {
+    if (!searchQuery.trim())
+      return []
+
+    const seen = new Set<string>()
+    return searchResults.filter((result) => {
+      const key = `${result.type}-${result.id}`
+      if (seen.has(key))
+        return false
+      seen.add(key)
+      return true
+    })
+  }, [searchResults, searchQuery])
+
+  return {
+    scopes,
+    searchResults: dedupedResults,
+    isLoading,
+    isError,
+    error,
+    searchMode,
+    isCommandsMode,
+  }
+}

web/app/components/goto-anything/index.spec.tsx

@@ -1,4 +1,5 @@
-import type { ActionItem, SearchResult } from './actions/types'
+import type { ScopeDescriptor } from './actions/scope-registry'
+import type { SearchResult } from './actions/types'
 import { act, render, screen } from '@testing-library/react'
 import userEvent from '@testing-library/user-event'
 import * as React from 'react'
@@ -35,6 +36,7 @@ const triggerKeyPress = (combo: string) => {
 let mockQueryResult = { data: [] as SearchResult[], isLoading: false, isError: false, error: null as Error | null }
 vi.mock('@tanstack/react-query', () => ({
   useQuery: () => mockQueryResult,
+  keepPreviousData: (data: unknown) => data,
 }))
 
 vi.mock('@/context/i18n', () => ({
@@ -47,33 +49,30 @@ vi.mock('./context', () => ({
   GotoAnythingProvider: ({ children }: { children: React.ReactNode }) => <>{children}</>,
 }))
 
-const createActionItem = (key: ActionItem['key'], shortcut: string): ActionItem => ({
-  key,
-  shortcut,
-  title: `${key} title`,
-  description: `${key} desc`,
-  action: vi.fn(),
-  search: vi.fn(),
+type MatchAction = typeof import('./actions').matchAction
+type SearchAnything = typeof import('./actions').searchAnything
+
+const mockState = vi.hoisted(() => {
+  const state = {
+    scopes: [] as ScopeDescriptor[],
+    useGotoAnythingScopesMock: vi.fn(() => state.scopes),
+    matchActionMock: vi.fn<MatchAction>(() => undefined),
+    searchAnythingMock: vi.fn<SearchAnything>(async () => []),
+  }
+
+  return state
 })
 
-const actionsMock = {
-  slash: createActionItem('/', '/'),
-  app: createActionItem('@app', '@app'),
-  plugin: createActionItem('@plugin', '@plugin'),
-}
-
-const createActionsMock = vi.fn(() => actionsMock)
-const matchActionMock = vi.fn(() => undefined)
-const searchAnythingMock = vi.fn(async () => mockQueryResult.data)
-
 vi.mock('./actions', () => ({
-  createActions: () => createActionsMock(),
-  matchAction: () => matchActionMock(),
-  searchAnything: () => searchAnythingMock(),
+  __esModule: true,
+  matchAction: (...args: Parameters<MatchAction>) => mockState.matchActionMock(...args),
+  searchAnything: (...args: Parameters<SearchAnything>) => mockState.searchAnythingMock(...args),
+  useGotoAnythingScopes: () => mockState.useGotoAnythingScopesMock(),
 }))
 
 vi.mock('./actions/commands', () => ({
   SlashCommandProvider: () => null,
+  executeCommand: vi.fn(),
 }))
 
 vi.mock('./actions/commands/registry', () => ({
@@ -84,6 +83,20 @@ vi.mock('./actions/commands/registry', () => ({
   },
 }))
 
+const createScope = (id: ScopeDescriptor['id'], shortcut: string): ScopeDescriptor => ({
+  id,
+  shortcut,
+  title: `${id} title`,
+  description: `${id} desc`,
+  search: vi.fn(),
+})
+
+const scopesMock = [
+  createScope('slash', '/'),
+  createScope('app', '@app'),
+  createScope('plugin', '@plugin'),
+]
+
 vi.mock('@/app/components/workflow/utils/common', () => ({
   getKeyboardKeyCodeBySystem: () => 'ctrl',
   isEventTargetInputArea: () => false,
@@ -108,8 +121,10 @@ describe('GotoAnything', () => {
     routerPush.mockClear()
     Object.keys(keyPressHandlers).forEach(key => delete keyPressHandlers[key])
     mockQueryResult = { data: [], isLoading: false, isError: false, error: null }
-    matchActionMock.mockReset()
-    searchAnythingMock.mockClear()
+    mockState.scopes = scopesMock
+    mockState.matchActionMock.mockReset()
+    mockState.searchAnythingMock.mockClear()
+    mockState.searchAnythingMock.mockImplementation(async () => mockQueryResult.data)
   })
 
   it('should open modal via shortcut and navigate to selected result', async () => {

web/app/components/goto-anything/index.tsx

@@ -4,23 +4,22 @@ import type { FC } from 'react'
 import type { Plugin } from '../plugins/types'
 import type { SearchResult } from './actions'
 import { RiSearchLine } from '@remixicon/react'
-import { useQuery } from '@tanstack/react-query'
-import { useDebounce, useKeyPress } from 'ahooks'
+import { useKeyPress } from 'ahooks'
 import { Command } from 'cmdk'
 import { useRouter } from 'next/navigation'
 import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import Input from '@/app/components/base/input'
 import Modal from '@/app/components/base/modal'
+import { VIBE_COMMAND_EVENT } from '@/app/components/workflow/constants'
 import { getKeyboardKeyCodeBySystem, isEventTargetInputArea, isMac } from '@/app/components/workflow/utils/common'
 import { selectWorkflowNode } from '@/app/components/workflow/utils/node-navigation'
-import { useGetLanguage } from '@/context/i18n'
 import InstallFromMarketplace from '../plugins/install-plugin/install-from-marketplace'
-import { createActions, matchAction, searchAnything } from './actions'
-import { SlashCommandProvider } from './actions/commands'
+import { executeCommand, SlashCommandProvider } from './actions/commands'
 import { slashCommandRegistry } from './actions/commands/registry'
 import CommandSelector from './command-selector'
-import { GotoAnythingProvider, useGotoAnythingContext } from './context'
+import { GotoAnythingProvider } from './context'
+import { useSearch } from './hooks/use-search'
 
 type Props = {
   onHide?: () => void
@@ -29,19 +28,21 @@ const GotoAnything: FC<Props> = ({
   onHide,
 }) => {
   const router = useRouter()
-  const defaultLocale = useGetLanguage()
-  const { isWorkflowPage, isRagPipelinePage } = useGotoAnythingContext()
   const { t } = useTranslation()
   const [show, setShow] = useState<boolean>(false)
   const [searchQuery, setSearchQuery] = useState<string>('')
   const [cmdVal, setCmdVal] = useState<string>('_')
   const inputRef = useRef<HTMLInputElement>(null)
 
-  // Filter actions based on context
-  const Actions = useMemo(() => {
-    // Create actions based on current page context
-    return createActions(isWorkflowPage, isRagPipelinePage)
-  }, [isWorkflowPage, isRagPipelinePage])
+  const {
+    scopes,
+    searchResults: dedupedResults,
+    isLoading,
+    isError,
+    error,
+    searchMode,
+    isCommandsMode,
+  } = useSearch(searchQuery)
 
   const [activePlugin, setActivePlugin] = useState<Plugin>()
 
@@ -73,56 +74,6 @@ const GotoAnything: FC<Props> = ({
     }
   })
 
-  const searchQueryDebouncedValue = useDebounce(searchQuery.trim(), {
-    wait: 300,
-  })
-
-  const isCommandsMode = searchQuery.trim() === '@' || searchQuery.trim() === '/'
-    || (searchQuery.trim().startsWith('@') && !matchAction(searchQuery.trim(), Actions))
-    || (searchQuery.trim().startsWith('/') && !matchAction(searchQuery.trim(), Actions))
-
-  const searchMode = useMemo(() => {
-    if (isCommandsMode) {
-      // Distinguish between @ (scopes) and / (commands) mode
-      if (searchQuery.trim().startsWith('@'))
-        return 'scopes'
-      else if (searchQuery.trim().startsWith('/'))
-        return 'commands'
-      return 'commands' // default fallback
-    }
-
-    const query = searchQueryDebouncedValue.toLowerCase()
-    const action = matchAction(query, Actions)
-
-    if (!action)
-      return 'general'
-
-    return action.key === '/' ? '@command' : action.key
-  }, [searchQueryDebouncedValue, Actions, isCommandsMode, searchQuery])
-
-  const { data: searchResults = [], isLoading, isError, error } = useQuery(
-    {
-      queryKey: [
-        'goto-anything',
-        'search-result',
-        searchQueryDebouncedValue,
-        searchMode,
-        isWorkflowPage,
-        isRagPipelinePage,
-        defaultLocale,
-        Object.keys(Actions).sort().join(','),
-      ],
-      queryFn: async () => {
-        const query = searchQueryDebouncedValue.toLowerCase()
-        const action = matchAction(query, Actions)
-        return await searchAnything(defaultLocale, query, action, Actions)
-      },
-      enabled: !!searchQueryDebouncedValue && !isCommandsMode,
-      staleTime: 30000,
-      gcTime: 300000,
-    },
-  )
-
   // Prevent automatic selection of the first option when cmdVal is not set
   const clearSelection = () => {
     setCmdVal('_')
@@ -158,9 +109,25 @@ const GotoAnything: FC<Props> = ({
 
     switch (result.type) {
       case 'command': {
-        // Execute slash commands
-        const action = Actions.slash
-        action?.action?.(result)
+        if (result.data.command === 'workflow.vibe') {
+          if (typeof document !== 'undefined') {
+            document.dispatchEvent(new CustomEvent(VIBE_COMMAND_EVENT, { detail: { dsl: result.data.args?.dsl } }))
+          }
+          break
+        }
+
+        // Execute slash commands using the command bus
+        // This handles both direct execution and submenu commands with args
+        const { command, args } = result.data
+
+        // Try executing via command bus first (preferred for submenu commands with args)
+        // We can't easily check if it exists in bus without potentially running it if we were to try/catch
+        // but typically search results point to valid bus commands.
+        executeCommand(command, args)
+
+        // Note: We previously checked slashCommandRegistry handlers here, but search results
+        // should return executable command strings (like 'theme.set') that are registered in the bus.
+        // The registry is mainly for the top-level command matching (e.g. /theme).
         break
       }
       case 'plugin':
@@ -178,17 +145,6 @@ const GotoAnything: FC<Props> = ({
     }
   }, [router])
 
-  const dedupedResults = useMemo(() => {
-    const seen = new Set<string>()
-    return searchResults.filter((result) => {
-      const key = `${result.type}-${result.id}`
-      if (seen.has(key))
-        return false
-      seen.add(key)
-      return true
-    })
-  }, [searchResults])
-
   // Group results by type
   const groupedResults = useMemo(() => dedupedResults.reduce((acc, result) => {
     if (!acc[result.type])
@@ -250,12 +206,12 @@ const GotoAnything: FC<Props> = ({
           <div className="mt-1 text-xs text-text-quaternary">
             {isCommandSearch
               ? t('gotoAnything.emptyState.tryDifferentTerm', { ns: 'app' })
-              : t('gotoAnything.emptyState.trySpecificSearch', { ns: 'app', shortcuts: Object.values(Actions).map(action => action.shortcut).join(', ') })}
+              : t('gotoAnything.emptyState.trySpecificSearch', { ns: 'app', shortcuts: scopes.map(s => s.shortcut).join(', ') })}
           </div>
         </div>
       </div>
     )
-  }, [dedupedResults, searchQuery, Actions, searchMode, isLoading, isError, isCommandsMode])
+  }, [dedupedResults, searchQuery, scopes, searchMode, isLoading, isError, isCommandsMode])
 
   const defaultUI = useMemo(() => {
     if (searchQuery.trim())
@@ -273,7 +229,7 @@ const GotoAnything: FC<Props> = ({
         </div>
       </div>
     )
-  }, [searchQuery, Actions])
+  }, [searchQuery, scopes])
 
   useEffect(() => {
     if (show) {
@@ -380,7 +336,7 @@ const GotoAnything: FC<Props> = ({
                   <div>
                     <div className="text-sm font-medium text-red-500">{t('gotoAnything.searchFailed', { ns: 'app' })}</div>
                     <div className="mt-1 text-xs text-text-quaternary">
-                      {error.message}
+                      {error?.message}
                     </div>
                   </div>
                 </div>
@@ -390,7 +346,7 @@ const GotoAnything: FC<Props> = ({
                   {isCommandsMode
                     ? (
                         <CommandSelector
-                          actions={Actions}
+                          scopes={scopes}
                           onCommandSelect={handleCommandSelect}
                           searchFilter={searchQuery.trim().substring(1)}
                           commandValue={cmdVal}

web/app/components/rag-pipeline/hooks/use-rag-pipeline-search.tsx

@@ -5,7 +5,7 @@ import type { LLMNodeType } from '@/app/components/workflow/nodes/llm/types'
 import type { ToolNodeType } from '@/app/components/workflow/nodes/tool/types'
 import type { CommonNodeType } from '@/app/components/workflow/types'
 import { useCallback, useEffect, useMemo } from 'react'
-import { ragPipelineNodesAction } from '@/app/components/goto-anything/actions/rag-pipeline-nodes'
+import { setRagPipelineNodesSearchFn } from '@/app/components/goto-anything/actions/rag-pipeline-nodes'
 import BlockIcon from '@/app/components/workflow/block-icon'
 import { useNodesInteractions } from '@/app/components/workflow/hooks/use-nodes-interactions'
 import { useGetToolIcon } from '@/app/components/workflow/hooks/use-tool-icon'
@@ -153,16 +153,15 @@ export const useRagPipelineSearch = () => {
     return results
   }, [searchableNodes, calculateScore])
 
-  // Directly set the search function on the action object
+  // Directly set the search function using the setter
   useEffect(() => {
     if (searchableNodes.length > 0) {
-      // Set the search function directly on the action
-      ragPipelineNodesAction.searchFn = searchRagPipelineNodes
+      setRagPipelineNodesSearchFn(searchRagPipelineNodes)
     }
 
     return () => {
       // Clean up when component unmounts
-      ragPipelineNodesAction.searchFn = undefined
+      setRagPipelineNodesSearchFn(() => [])
     }
   }, [searchableNodes, searchRagPipelineNodes])
 

web/app/components/workflow/constants.ts

@@ -9,6 +9,8 @@ export const NODE_WIDTH = 240
 export const X_OFFSET = 60
 export const NODE_WIDTH_X_OFFSET = NODE_WIDTH + X_OFFSET
 export const Y_OFFSET = 39
+export const VIBE_COMMAND_EVENT = 'workflow-vibe-command'
+export const VIBE_APPLY_EVENT = 'workflow-vibe-apply'
 export const START_INITIAL_POSITION = { x: 80, y: 282 }
 export const AUTO_LAYOUT_OFFSET = {
   x: -42,

web/app/components/workflow/hooks/__tests__/use-workflow-vibe.test.ts

@@ -0,0 +1,80 @@
+import { describe, expect, it } from 'vitest'
+import { replaceVariableReferences } from '../use-workflow-vibe'
+
+// Mock types needed for the test
+type NodeData = {
+  title: string
+  [key: string]: any
+}
+
+describe('use-workflow-vibe', () => {
+  describe('replaceVariableReferences', () => {
+    it('should replace variable references in strings', () => {
+      const data = {
+        title: 'Test Node',
+        prompt: 'Hello {{#old_id.query#}}',
+      }
+      const nodeIdMap = new Map<string, any>()
+      nodeIdMap.set('old_id', { id: 'new_uuid', data: { type: 'llm' } })
+
+      const result = replaceVariableReferences(data, nodeIdMap) as NodeData
+      expect(result.prompt).toBe('Hello {{#new_uuid.query#}}')
+    })
+
+    it('should handle multiple references in one string', () => {
+      const data = {
+        title: 'Test Node',
+        text: '{{#node1.out#}} and {{#node2.out#}}',
+      }
+      const nodeIdMap = new Map<string, any>()
+      nodeIdMap.set('node1', { id: 'uuid1', data: { type: 'llm' } })
+      nodeIdMap.set('node2', { id: 'uuid2', data: { type: 'llm' } })
+
+      const result = replaceVariableReferences(data, nodeIdMap) as NodeData
+      expect(result.text).toBe('{{#uuid1.out#}} and {{#uuid2.out#}}')
+    })
+
+    it('should replace variable references in value_selector arrays', () => {
+      const data = {
+        title: 'End Node',
+        outputs: [
+          {
+            variable: 'result',
+            value_selector: ['old_id', 'text'],
+          },
+        ],
+      }
+      const nodeIdMap = new Map<string, any>()
+      nodeIdMap.set('old_id', { id: 'new_uuid', data: { type: 'llm' } })
+
+      const result = replaceVariableReferences(data, nodeIdMap) as NodeData
+      expect(result.outputs[0].value_selector).toEqual(['new_uuid', 'text'])
+    })
+
+    it('should handle nested objects recursively', () => {
+      const data = {
+        config: {
+          model: {
+            prompt: '{{#old_id.text#}}',
+          },
+        },
+      }
+      const nodeIdMap = new Map<string, any>()
+      nodeIdMap.set('old_id', { id: 'new_uuid', data: { type: 'llm' } })
+
+      const result = replaceVariableReferences(data, nodeIdMap) as any
+      expect(result.config.model.prompt).toBe('{{#new_uuid.text#}}')
+    })
+
+    it('should ignoring missing node mappings', () => {
+      const data = {
+        text: '{{#missing_id.text#}}',
+      }
+      const nodeIdMap = new Map<string, any>()
+      // missing_id is not in map
+
+      const result = replaceVariableReferences(data, nodeIdMap) as NodeData
+      expect(result.text).toBe('{{#missing_id.text#}}')
+    })
+  })
+})

web/app/components/workflow/hooks/index.ts

@@ -24,3 +24,5 @@ export * from './use-workflow-run'
 export * from './use-workflow-search'
 export * from './use-workflow-start-run'
 export * from './use-workflow-variables'
+export * from './use-workflow-vibe'
+export * from './use-workflow-vibe-config'

web/app/components/workflow/hooks/use-checklist.ts

@@ -160,7 +160,7 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => {
         }
       }
       else {
-        usedVars = getNodeUsedVars(node).filter(v => v.length > 0)
+        usedVars = getNodeUsedVars(node).filter(v => v && v.length > 0)
       }
 
       if (node.type === CUSTOM_NODE) {
@@ -359,7 +359,7 @@ export const useChecklistBeforePublish = () => {
         }
       }
       else {
-        usedVars = getNodeUsedVars(node).filter(v => v.length > 0)
+        usedVars = getNodeUsedVars(node).filter(v => v && v.length > 0)
       }
       const checkData = getCheckData(node.data, datasets)
       const { errorMessage } = nodesExtraData![node.data.type as BlockEnum].checkValid(checkData, t, moreDataForCheckValid)

web/app/components/workflow/hooks/use-workflow-search.tsx

@@ -5,7 +5,7 @@ import type { CommonNodeType } from '../types'
 import type { Emoji } from '@/app/components/tools/types'
 import { useCallback, useEffect, useMemo } from 'react'
 import { useNodes } from 'reactflow'
-import { workflowNodesAction } from '@/app/components/goto-anything/actions/workflow-nodes'
+import { setWorkflowNodesSearchFn } from '@/app/components/goto-anything/actions/workflow-nodes'
 import { CollectionType } from '@/app/components/tools/types'
 import BlockIcon from '@/app/components/workflow/block-icon'
 import {
@@ -183,16 +183,15 @@ export const useWorkflowSearch = () => {
     return results
   }, [searchableNodes, calculateScore])
 
-  // Directly set the search function on the action object
+  // Directly set the search function using the setter
   useEffect(() => {
     if (searchableNodes.length > 0) {
-      // Set the search function directly on the action
-      workflowNodesAction.searchFn = searchWorkflowNodes
+      setWorkflowNodesSearchFn(searchWorkflowNodes)
     }
 
     return () => {
       // Clean up when component unmounts
-      workflowNodesAction.searchFn = undefined
+      setWorkflowNodesSearchFn(() => [])
     }
   }, [searchableNodes, searchWorkflowNodes])
 

web/app/components/workflow/hooks/use-workflow-vibe-config.ts

@@ -0,0 +1,99 @@
+/**
+ * Vibe Workflow Generator Configuration
+ *
+ * This module centralizes configuration for the Vibe workflow generation feature,
+ * including node type aliases and field name corrections.
+ *
+ * Note: These definitions are mirrored in the backend at:
+ * api/core/workflow/generator/config/node_schemas.py
+ * When updating these values, also update the backend file.
+ */
+
+/**
+ * Node type aliases for inference from natural language.
+ * Maps common terms to canonical node type names.
+ */
+export const NODE_TYPE_ALIASES: Record<string, string> = {
+  // Start node aliases
+  'start': 'start',
+  'begin': 'start',
+  'input': 'start',
+  // End node aliases
+  'end': 'end',
+  'finish': 'end',
+  'output': 'end',
+  // LLM node aliases
+  'llm': 'llm',
+  'ai': 'llm',
+  'gpt': 'llm',
+  'model': 'llm',
+  'chat': 'llm',
+  // Code node aliases
+  'code': 'code',
+  'script': 'code',
+  'python': 'code',
+  'javascript': 'code',
+  // HTTP request node aliases
+  'http-request': 'http-request',
+  'http': 'http-request',
+  'request': 'http-request',
+  'api': 'http-request',
+  'fetch': 'http-request',
+  'webhook': 'http-request',
+  // Conditional node aliases
+  'if-else': 'if-else',
+  'condition': 'if-else',
+  'branch': 'if-else',
+  'switch': 'if-else',
+  // Loop node aliases
+  'iteration': 'iteration',
+  'loop': 'loop',
+  'foreach': 'iteration',
+  // Tool node alias
+  'tool': 'tool',
+}
+
+/**
+ * Field name corrections for LLM-generated node configs.
+ * Maps incorrect field names to correct ones for specific node types.
+ */
+export const FIELD_NAME_CORRECTIONS: Record<string, Record<string, string>> = {
+  'http-request': {
+    text: 'body', // LLM might use "text" instead of "body"
+    content: 'body',
+    response: 'body',
+  },
+  'code': {
+    text: 'result', // LLM might use "text" instead of "result"
+    output: 'result',
+  },
+  'llm': {
+    response: 'text',
+    answer: 'text',
+  },
+}
+
+/**
+ * Correct field names based on node type.
+ * LLM sometimes generates wrong field names (e.g., "text" instead of "body" for HTTP nodes).
+ *
+ * @param field - The field name to correct
+ * @param nodeType - The type of the node
+ * @returns The corrected field name, or the original if no correction needed
+ */
+export const correctFieldName = (field: string, nodeType: string): string => {
+  const corrections = FIELD_NAME_CORRECTIONS[nodeType]
+  if (corrections && corrections[field])
+    return corrections[field]
+  return field
+}
+
+/**
+ * Get the canonical node type from an alias.
+ *
+ * @param alias - The alias to look up
+ * @returns The canonical node type, or undefined if not found
+ */
+export const getCanonicalNodeType = (alias: string): string | undefined => {
+  return NODE_TYPE_ALIASES[alias.toLowerCase()]
+}

web/app/components/workflow/hooks/use-workflow.ts

@@ -471,12 +471,14 @@ export const useNodesReadOnly = () => {
   const workflowRunningData = useStore(s => s.workflowRunningData)
   const historyWorkflowData = useStore(s => s.historyWorkflowData)
   const isRestoring = useStore(s => s.isRestoring)
+  // const showVibePanel = useStore(s => s.showVibePanel)
 
   const getNodesReadOnly = useCallback((): boolean => {
     const {
       workflowRunningData,
       historyWorkflowData,
       isRestoring,
+      // showVibePanel,
     } = workflowStore.getState()
 
     return !!(workflowRunningData?.result.status === WorkflowRunningStatus.Running || historyWorkflowData || isRestoring)

web/app/components/workflow/index.tsx

@@ -68,6 +68,7 @@ import {
   useWorkflow,
   useWorkflowReadOnly,
   useWorkflowRefreshDraft,
+  useWorkflowVibe,
 } from './hooks'
 import { HooksStoreContextProvider, useHooksStore } from './hooks-store'
 import { useWorkflowSearch } from './hooks/use-workflow-search'
@@ -319,6 +320,7 @@ export const Workflow: FC<WorkflowProps> = memo(({
   useShortcuts()
   // Initialize workflow node search functionality
   useWorkflowSearch()
+  useWorkflowVibe()
 
   // Set up scroll to node event listener using the utility function
   useEffect(() => {

web/app/components/workflow/nodes/_base/components/file-upload-setting.tsx

@@ -33,9 +33,9 @@ const FileUploadSetting: FC<Props> = ({
   const { t } = useTranslation()
 
   const {
-    allowed_file_upload_methods,
+    allowed_file_upload_methods = [],
     max_length,
-    allowed_file_types,
+    allowed_file_types = [],
     allowed_file_extensions,
   } = payload
   const { data: fileUploadConfigResponse } = useFileUploadConfig()

web/app/components/workflow/nodes/_base/components/variable/utils.ts

@@ -1391,9 +1391,9 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => {
         payload.url,
         payload.headers,
         payload.params,
-        typeof payload.body.data === 'string'
+        typeof payload.body?.data === 'string'
           ? payload.body.data
-          : payload.body.data.map(d => d.value).join(''),
+          : (payload.body?.data?.map(d => d.value).join('') ?? ''),
       ])
       break
     }

web/app/components/workflow/nodes/http/hooks/use-key-value-list.ts

@@ -5,6 +5,9 @@ import { useCallback, useEffect, useState } from 'react'
 
 const UNIQUE_ID_PREFIX = 'key-value-'
 const strToKeyValueList = (value: string) => {
+  if (typeof value !== 'string' || !value)
+    return []
+
   return value.split('\n').map((item) => {
     const [key, ...others] = item.split(':')
     return {
@@ -16,7 +19,7 @@ const strToKeyValueList = (value: string) => {
 }
 
 const useKeyValueList = (value: string, onChange: (value: string) => void, noFilter?: boolean) => {
-  const [list, doSetList] = useState<KeyValue[]>(() => value ? strToKeyValueList(value) : [])
+  const [list, doSetList] = useState<KeyValue[]>(() => typeof value === 'string' && value ? strToKeyValueList(value) : [])
   const setList = (l: KeyValue[]) => {
     doSetList(l.map((item) => {
       return {

web/app/components/workflow/nodes/if-else/components/condition-value.tsx

@@ -49,7 +49,7 @@ const ConditionValue = ({
     if (value === true || value === false)
       return value ? 'True' : 'False'
 
-    return value.replace(/\{\{#([^#]*)#\}\}/g, (a, b) => {
+    return String(value).replace(/\{\{#([^#]*)#\}\}/g, (a, b) => {
       const arr: string[] = b.split('.')
       if (isSystemVar(arr))
         return `{{${b}}}`

web/app/components/workflow/nodes/variable-assigner/components/node-group-item.tsx

@@ -127,23 +127,30 @@ const NodeGroupItem = ({
         !!item.variables.length && (
           <div className="space-y-0.5">
             {
-              item.variables.map((variable = [], index) => {
-                const isSystem = isSystemVar(variable)
+              item.variables
+                .map((variable = [], index) => {
+                  // Ensure variable is an array
+                  const safeVariable = Array.isArray(variable) ? variable : []
+                  if (!safeVariable.length)
+                    return null
 
-                const node = isSystem ? nodes.find(node => node.data.type === BlockEnum.Start) : nodes.find(node => node.id === variable[0])
-                const varName = isSystem ? `sys.${variable[variable.length - 1]}` : variable.slice(1).join('.')
-                const isException = isExceptionVariable(varName, node?.data.type)
+                  const isSystem = isSystemVar(safeVariable)
 
-                return (
-                  <VariableLabelInNode
-                    key={index}
-                    variables={variable}
-                    nodeType={node?.data.type}
-                    nodeTitle={node?.data.title}
-                    isExceptionVariable={isException}
-                  />
-                )
-              })
+                  const node = isSystem ? nodes.find(node => node.data.type === BlockEnum.Start) : nodes.find(node => node.id === safeVariable[0])
+                  const varName = isSystem ? `sys.${safeVariable[safeVariable.length - 1]}` : safeVariable.slice(1).join('.')
+                  const isException = isExceptionVariable(varName, node?.data.type)
+
+                  return (
+                    <VariableLabelInNode
+                      key={index}
+                      variables={safeVariable}
+                      nodeType={node?.data.type}
+                      nodeTitle={node?.data.title}
+                      isExceptionVariable={isException}
+                    />
+                  )
+                })
+                .filter(Boolean)
             }
           </div>
         )

web/app/components/workflow/panel/index.tsx

@@ -8,6 +8,7 @@ import { cn } from '@/utils/classnames'
 import { Panel as NodePanel } from '../nodes'
 import { useStore } from '../store'
 import EnvPanel from './env-panel'
+import VibePanel from './vibe-panel'
 
 const VersionHistoryPanel = dynamic(() => import('@/app/components/workflow/panel/version-history-panel'), {
   ssr: false,
@@ -85,6 +86,7 @@ const Panel: FC<PanelProps> = ({
   const showEnvPanel = useStore(s => s.showEnvPanel)
   const isRestoring = useStore(s => s.isRestoring)
   const showWorkflowVersionHistoryPanel = useStore(s => s.showWorkflowVersionHistoryPanel)
+  const showVibePanel = useStore(s => s.showVibePanel)
 
   // widths used for adaptive layout
   const workflowCanvasWidth = useStore(s => s.workflowCanvasWidth)
@@ -124,33 +126,36 @@ const Panel: FC<PanelProps> = ({
   )
 
   return (
-    <div
-      ref={rightPanelRef}
-      tabIndex={-1}
-      className={cn('absolute bottom-1 right-0 top-14 z-10 flex outline-none')}
-      key={`${isRestoring}`}
-    >
-      {components?.left}
-      {!!selectedNode && <NodePanel {...selectedNode} />}
+    <>
       <div
-        className="relative"
-        ref={otherPanelRef}
+        ref={rightPanelRef}
+        tabIndex={-1}
+        className={cn('absolute bottom-1 right-0 top-14 z-10 flex outline-none')}
+        key={`${isRestoring}`}
       >
-        {
-          components?.right
-        }
-        {
-          showWorkflowVersionHistoryPanel && (
-            <VersionHistoryPanel {...versionHistoryPanelProps} />
-          )
-        }
-        {
-          showEnvPanel && (
-            <EnvPanel />
-          )
-        }
+        {components?.left}
+        {!!selectedNode && <NodePanel {...selectedNode} />}
+        <div
+          className="relative"
+          ref={otherPanelRef}
+        >
+          {
+            components?.right
+          }
+          {
+            showWorkflowVersionHistoryPanel && (
+              <VersionHistoryPanel {...versionHistoryPanelProps} />
+            )
+          }
+          {
+            showEnvPanel && (
+              <EnvPanel />
+            )
+          }
+        </div>
       </div>
-    </div>
+      {showVibePanel && <VibePanel />}
+    </>
   )
 }
 

web/app/components/workflow/panel/vibe-panel/index.spec.tsx

@@ -0,0 +1,333 @@
+/**
+ * VibePanel Component Tests
+ *
+ * Covers rendering states, user interactions, and edge cases for the vibe panel.
+ */
+
+import type { Shape as WorkflowState } from '@/app/components/workflow/store/workflow'
+import type { Edge, Node } from '@/app/components/workflow/types'
+import { fireEvent, render, screen, waitFor } from '@testing-library/react'
+import userEvent from '@testing-library/user-event'
+import Toast from '@/app/components/base/toast'
+import { WorkflowContext } from '@/app/components/workflow/context'
+import { HooksStoreContext } from '@/app/components/workflow/hooks-store/provider'
+import { createHooksStore } from '@/app/components/workflow/hooks-store/store'
+import { createWorkflowStore } from '@/app/components/workflow/store/workflow'
+import { BlockEnum } from '@/app/components/workflow/types'
+import { VIBE_APPLY_EVENT, VIBE_COMMAND_EVENT } from '../../constants'
+import VibePanel from './index'
+
+// ============================================================================
+// Mocks
+// ============================================================================
+
+const mockCopy = vi.hoisted(() => vi.fn())
+const mockUseVibeFlowData = vi.hoisted(() => vi.fn())
+
+vi.mock('copy-to-clipboard', () => ({
+  default: mockCopy,
+}))
+
+vi.mock('@/app/components/header/account-setting/model-provider-page/hooks', () => ({
+  useModelListAndDefaultModelAndCurrentProviderAndModel: () => ({ defaultModel: null }),
+}))
+
+vi.mock('@/app/components/header/account-setting/model-provider-page/model-parameter-modal', () => ({
+  __esModule: true,
+  default: ({ modelId, provider }: { modelId: string, provider: string }) => (
+    <div data-testid="model-parameter-modal" data-model-id={modelId} data-provider={provider} />
+  ),
+}))
+
+vi.mock('@/app/components/workflow/hooks/use-workflow-vibe', () => ({
+  useVibeFlowData: () => mockUseVibeFlowData(),
+}))
+
+vi.mock('@/app/components/workflow/workflow-preview', () => ({
+  __esModule: true,
+  default: ({ nodes, edges }: { nodes: Node[], edges: Edge[] }) => (
+    <div data-testid="workflow-preview" data-nodes-count={nodes.length} data-edges-count={edges.length} />
+  ),
+}))
+
+// ============================================================================
+// Test Utilities
+// ============================================================================
+
+type FlowGraph = {
+  nodes: Node[]
+  edges: Edge[]
+}
+
+type VibeFlowData = {
+  versions: FlowGraph[]
+  currentVersionIndex: number
+  setCurrentVersionIndex: (index: number) => void
+  current?: FlowGraph
+}
+
+const createMockNode = (overrides: Partial<Node> = {}): Node => ({
+  id: 'node-1',
+  type: 'custom',
+  position: { x: 0, y: 0 },
+  data: {
+    title: 'Start',
+    desc: '',
+    type: BlockEnum.Start,
+  },
+  ...overrides,
+})
+
+const createMockEdge = (overrides: Partial<Edge> = {}): Edge => ({
+  id: 'edge-1',
+  source: 'node-1',
+  target: 'node-2',
+  data: {
+    sourceType: BlockEnum.Start,
+    targetType: BlockEnum.End,
+  },
+  ...overrides,
+})
+
+const createFlowGraph = (overrides: Partial<FlowGraph> = {}): FlowGraph => ({
+  nodes: [],
+  edges: [],
+  ...overrides,
+})
+
+const createVibeFlowData = (overrides: Partial<VibeFlowData> = {}): VibeFlowData => ({
+  versions: [],
+  currentVersionIndex: 0,
+  setCurrentVersionIndex: vi.fn(),
+  current: undefined,
+  ...overrides,
+})
+
+const renderVibePanel = ({
+  workflowState,
+  vibeFlowData,
+}: {
+  workflowState?: Partial<WorkflowState>
+  vibeFlowData?: VibeFlowData
+} = {}) => {
+  if (vibeFlowData)
+    mockUseVibeFlowData.mockReturnValue(vibeFlowData)
+
+  const workflowStore = createWorkflowStore({})
+  const vibeFlowState = vibeFlowData
+    ? {
+        vibeFlowVersions: vibeFlowData.versions,
+        vibeFlowCurrentIndex: vibeFlowData.currentVersionIndex,
+        currentVibeFlow: vibeFlowData.current,
+      }
+    : {}
+
+  workflowStore.setState({
+    showVibePanel: true,
+    isVibeGenerating: false,
+    vibePanelInstruction: '',
+    vibePanelMermaidCode: '',
+    ...vibeFlowState,
+    ...workflowState,
+  })
+
+  const hooksStore = createHooksStore({})
+
+  return {
+    workflowStore,
+    ...render(
+      <WorkflowContext.Provider value={workflowStore}>
+        <HooksStoreContext.Provider value={hooksStore}>
+          <VibePanel />
+        </HooksStoreContext.Provider>
+      </WorkflowContext.Provider>,
+    ),
+  }
+}
+
+const getCopyButton = () => {
+  const buttons = screen.getAllByRole('button')
+  const copyButton = buttons.find(button => button.textContent?.trim() === '' && button.querySelector('svg'))
+  if (!copyButton)
+    throw new Error('Copy button not found')
+  return copyButton
+}
+
+// ============================================================================
+// Tests
+// ============================================================================
+
+describe('VibePanel', () => {
+  let toastNotifySpy: ReturnType<typeof vi.spyOn>
+
+  beforeEach(() => {
+    vi.clearAllMocks()
+    mockUseVibeFlowData.mockReturnValue(createVibeFlowData())
+    toastNotifySpy = vi.spyOn(Toast, 'notify').mockImplementation(() => ({ clear: vi.fn() }))
+  })
+
+  afterEach(() => {
+    toastNotifySpy.mockRestore()
+  })
+
+  // --------------------------------------------------------------------------
+  // Rendering: default visibility and primary view states.
+  // --------------------------------------------------------------------------
+  describe('Rendering', () => {
+    it('should render nothing when panel is hidden', () => {
+      renderVibePanel({ workflowState: { showVibePanel: false } })
+
+      expect(screen.queryByText(/app\.gotoAnything\.actions\.vibeTitle/i)).not.toBeInTheDocument()
+    })
+
+    it('should render placeholder when no preview data and not generating', () => {
+      renderVibePanel({
+        workflowState: { showVibePanel: true, isVibeGenerating: false },
+        vibeFlowData: createVibeFlowData({ current: undefined }),
+      })
+
+      expect(screen.getByText(/appDebug\.generate\.newNoDataLine1/i)).toBeInTheDocument()
+    })
+
+    it('should render loading state when generating', () => {
+      renderVibePanel({
+        workflowState: { showVibePanel: true, isVibeGenerating: true },
+      })
+
+      expect(screen.getByText(/workflow\.vibe\.generatingFlowchart/i)).toBeInTheDocument()
+      expect(screen.getByRole('button', { name: 'appDebug.generate.generate' })).toBeDisabled()
+    })
+
+    it('should render preview panel when nodes exist', () => {
+      const flowGraph = createFlowGraph({
+        nodes: [createMockNode()],
+        edges: [createMockEdge()],
+      })
+
+      renderVibePanel({
+        vibeFlowData: createVibeFlowData({
+          current: flowGraph,
+          versions: [flowGraph],
+        }),
+      })
+
+      expect(screen.getByTestId('workflow-preview')).toBeInTheDocument()
+      expect(screen.getByRole('button', { name: 'workflow.vibe.apply' })).toBeInTheDocument()
+      expect(screen.getByText(/appDebug\.generate\.version/i)).toBeInTheDocument()
+    })
+  })
+
+  // --------------------------------------------------------------------------
+  // Props: store-driven inputs that toggle behavior.
+  // --------------------------------------------------------------------------
+  describe('Props', () => {
+    it('should render modal content when showVibePanel is true', () => {
+      renderVibePanel({ workflowState: { showVibePanel: true } })
+
+      expect(screen.getByText(/app\.gotoAnything\.actions\.vibeTitle/i)).toBeInTheDocument()
+    })
+  })
+
+  // --------------------------------------------------------------------------
+  // User Interactions: input edits and action triggers.
+  // --------------------------------------------------------------------------
+  describe('User Interactions', () => {
+    it('should update instruction in store when typing', async () => {
+      const { workflowStore } = renderVibePanel()
+
+      const textarea = screen.getByPlaceholderText('workflow.vibe.missingInstruction')
+      fireEvent.change(textarea, { target: { value: 'Build a vibe flow' } })
+
+      await waitFor(() => {
+        expect(workflowStore.getState().vibePanelInstruction).toBe('Build a vibe flow')
+      })
+    })
+
+    it('should dispatch command event with instruction when generate clicked', async () => {
+      const user = userEvent.setup()
+      const { workflowStore } = renderVibePanel({
+        workflowState: { vibePanelInstruction: 'Generate a workflow' },
+      })
+
+      const handler = vi.fn()
+      document.addEventListener(VIBE_COMMAND_EVENT, handler)
+
+      await user.click(screen.getByRole('button', { name: 'appDebug.generate.generate' }))
+
+      expect(handler).toHaveBeenCalledTimes(1)
+      const event = handler.mock.calls[0][0] as CustomEvent<{ dsl?: string }>
+      expect(event.detail).toEqual({ dsl: workflowStore.getState().vibePanelInstruction })
+
+      document.removeEventListener(VIBE_COMMAND_EVENT, handler)
+    })
+
+    it('should close panel when dismiss clicked', async () => {
+      const user = userEvent.setup()
+      const { workflowStore } = renderVibePanel({
+        workflowState: {
+          vibePanelMermaidCode: 'graph TD',
+          isVibeGenerating: true,
+        },
+      })
+
+      await user.click(screen.getByRole('button', { name: 'appDebug.generate.dismiss' }))
+
+      const state = workflowStore.getState()
+      expect(state.showVibePanel).toBe(false)
+      expect(state.vibePanelMermaidCode).toBe('')
+      expect(state.isVibeGenerating).toBe(false)
+    })
+
+    it('should dispatch apply event and close panel when apply clicked', async () => {
+      const user = userEvent.setup()
+      const flowGraph = createFlowGraph({
+        nodes: [createMockNode()],
+        edges: [createMockEdge()],
+      })
+      const { workflowStore } = renderVibePanel({
+        workflowState: { vibePanelMermaidCode: 'graph TD' },
+        vibeFlowData: createVibeFlowData({
+          current: flowGraph,
+          versions: [flowGraph],
+        }),
+      })
+
+      const handler = vi.fn()
+      document.addEventListener(VIBE_APPLY_EVENT, handler)
+
+      await user.click(screen.getByRole('button', { name: 'workflow.vibe.apply' }))
+
+      expect(handler).toHaveBeenCalledTimes(1)
+      const state = workflowStore.getState()
+      expect(state.showVibePanel).toBe(false)
+      expect(state.vibePanelMermaidCode).toBe('')
+      expect(state.isVibeGenerating).toBe(false)
+
+      document.removeEventListener(VIBE_APPLY_EVENT, handler)
+    })
+
+    it('should copy mermaid and notify when copy clicked', async () => {
+      const user = userEvent.setup()
+      const flowGraph = createFlowGraph({
+        nodes: [createMockNode()],
+        edges: [createMockEdge()],
+      })
+
+      renderVibePanel({
+        workflowState: { vibePanelMermaidCode: 'graph TD' },
+        vibeFlowData: createVibeFlowData({
+          current: flowGraph,
+          versions: [flowGraph],
+        }),
+      })
+
+      await user.click(getCopyButton())
+
+      expect(mockCopy).toHaveBeenCalledWith('graph TD')
+      expect(toastNotifySpy).toHaveBeenCalledWith(expect.objectContaining({
+        type: 'success',
+        message: 'common.actionMsg.copySuccessfully',
+      }))
+    })
+  })
+})

web/app/components/workflow/panel/vibe-panel/index.tsx

@@ -0,0 +1,298 @@
+'use client'
+
+import type { FC } from 'react'
+import type { FormValue } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import type { CompletionParams, Model } from '@/types/app'
+import { RiClipboardLine, RiInformation2Line } from '@remixicon/react'
+import copy from 'copy-to-clipboard'
+import { useCallback, useEffect, useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import ResPlaceholder from '@/app/components/app/configuration/config/automatic/res-placeholder'
+import VersionSelector from '@/app/components/app/configuration/config/automatic/version-selector'
+import Button from '@/app/components/base/button'
+import { Generator } from '@/app/components/base/icons/src/vender/other'
+import Loading from '@/app/components/base/loading'
+import Modal from '@/app/components/base/modal'
+import Textarea from '@/app/components/base/textarea'
+import Toast from '@/app/components/base/toast'
+import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
+import ModelParameterModal from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal'
+import { ModelModeType } from '@/types/app'
+import { VIBE_APPLY_EVENT, VIBE_COMMAND_EVENT } from '../../constants'
+import { useStore, useWorkflowStore } from '../../store'
+import WorkflowPreview from '../../workflow-preview'
+
+const VibePanel: FC = () => {
+  const { t } = useTranslation()
+  const workflowStore = useWorkflowStore()
+  const showVibePanel = useStore(s => s.showVibePanel)
+  const setShowVibePanel = useStore(s => s.setShowVibePanel)
+  const isVibeGenerating = useStore(s => s.isVibeGenerating)
+  const setIsVibeGenerating = useStore(s => s.setIsVibeGenerating)
+  const vibePanelInstruction = useStore(s => s.vibePanelInstruction)
+  const vibePanelMermaidCode = useStore(s => s.vibePanelMermaidCode)
+  const setVibePanelMermaidCode = useStore(s => s.setVibePanelMermaidCode)
+  const currentFlowGraph = useStore(s => s.currentVibeFlow)
+  const versions = useStore(s => s.vibeFlowVersions)
+  const currentVersionIndex = useStore(s => s.vibeFlowCurrentIndex)
+
+  const vibePanelPreviewNodes = currentFlowGraph?.nodes || []
+  const vibePanelPreviewEdges = currentFlowGraph?.edges || []
+
+  const setVibePanelInstruction = useStore(s => s.setVibePanelInstruction)
+  const vibePanelIntent = useStore(s => s.vibePanelIntent)
+  const setVibePanelIntent = useStore(s => s.setVibePanelIntent)
+  const vibePanelMessage = useStore(s => s.vibePanelMessage)
+  const setVibePanelMessage = useStore(s => s.setVibePanelMessage)
+  const vibePanelSuggestions = useStore(s => s.vibePanelSuggestions)
+  const setVibePanelSuggestions = useStore(s => s.setVibePanelSuggestions)
+
+  const localModel = localStorage.getItem('auto-gen-model')
+    ? JSON.parse(localStorage.getItem('auto-gen-model') as string) as Model
+    : null
+  const [model, setModel] = useState<Model>(localModel || {
+    name: '',
+    provider: '',
+    mode: ModelModeType.chat,
+    completion_params: {} as CompletionParams,
+  })
+  const { defaultModel } = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.textGeneration)
+
+  useEffect(() => {
+    if (defaultModel) {
+      const localModel = localStorage.getItem('auto-gen-model')
+        ? JSON.parse(localStorage.getItem('auto-gen-model') || '')
+        : null
+      if (localModel) {
+        setModel(localModel)
+      }
+      else {
+        setModel(prev => ({
+          ...prev,
+          name: defaultModel.model,
+          provider: defaultModel.provider.provider,
+        }))
+      }
+    }
+  }, [defaultModel])
+
+  const handleModelChange = useCallback((newValue: { modelId: string, provider: string, mode?: string, features?: string[] }) => {
+    const newModel = {
+      ...model,
+      provider: newValue.provider,
+      name: newValue.modelId,
+      mode: newValue.mode as ModelModeType,
+    }
+    setModel(newModel)
+    localStorage.setItem('auto-gen-model', JSON.stringify(newModel))
+  }, [model])
+
+  const handleCompletionParamsChange = useCallback((newParams: FormValue) => {
+    const newModel = {
+      ...model,
+      completion_params: newParams as CompletionParams,
+    }
+    setModel(newModel)
+    localStorage.setItem('auto-gen-model', JSON.stringify(newModel))
+  }, [model])
+
+  const handleInstructionChange = useCallback((e: React.ChangeEvent<HTMLTextAreaElement>) => {
+    workflowStore.setState(state => ({
+      ...state,
+      vibePanelInstruction: e.target.value,
+    }))
+  }, [workflowStore])
+
+  const handleClose = useCallback(() => {
+    setShowVibePanel(false)
+    setVibePanelMermaidCode('')
+    setIsVibeGenerating(false)
+    setVibePanelIntent('')
+    setVibePanelMessage('')
+    setVibePanelSuggestions([])
+  }, [setShowVibePanel, setVibePanelMermaidCode, setIsVibeGenerating, setVibePanelIntent, setVibePanelMessage, setVibePanelSuggestions])
+
+  const handleGenerate = useCallback(() => {
+    const event = new CustomEvent(VIBE_COMMAND_EVENT, {
+      detail: { dsl: vibePanelInstruction },
+    })
+    document.dispatchEvent(event)
+  }, [vibePanelInstruction])
+
+  const handleAccept = useCallback(() => {
+    const event = new CustomEvent(VIBE_APPLY_EVENT)
+    document.dispatchEvent(event)
+    handleClose()
+  }, [handleClose])
+
+  const handleCopyMermaid = useCallback(() => {
+    copy(vibePanelMermaidCode)
+    Toast.notify({ type: 'success', message: t('actionMsg.copySuccessfully', { ns: 'common' }) })
+  }, [vibePanelMermaidCode, t])
+
+  const handleSuggestionClick = useCallback((suggestion: string) => {
+    setVibePanelInstruction(suggestion)
+    // Trigger generation with the suggestion
+    const event = new CustomEvent(VIBE_COMMAND_EVENT, {
+      detail: { dsl: suggestion },
+    })
+    document.dispatchEvent(event)
+  }, [setVibePanelInstruction])
+
+  const handleVersionChange = useCallback((index: number) => {
+    const { setVibeFlowCurrentIndex } = workflowStore.getState()
+    setVibeFlowCurrentIndex(index)
+  }, [workflowStore])
+
+  // Button label - always use "Generate" (refinement mode removed)
+  const generateButtonLabel = useMemo(() => {
+    return t('generate.generate', { ns: 'appDebug' })
+  }, [t])
+
+  if (!showVibePanel)
+    return null
+
+  const renderLoading = (
+    <div className="flex h-full w-0 grow flex-col items-center justify-center space-y-3">
+      <Loading />
+      <div className="text-[13px] text-text-tertiary">{t('vibe.generatingFlowchart', { ns: 'workflow' })}</div>
+    </div>
+  )
+
+  const renderOffTopic = (
+    <div className="flex h-full w-0 grow flex-col items-center justify-center bg-background-default-subtle p-6">
+      <div className="flex max-w-[400px] flex-col items-center text-center">
+        <div className="mb-4 flex h-12 w-12 items-center justify-center rounded-full bg-state-warning-hover">
+          <RiInformation2Line className="h-6 w-6 text-text-warning" />
+        </div>
+        <div className="mb-2 text-base font-semibold text-text-primary">
+          {t('vibe.offTopicTitle', { ns: 'workflow' })}
+        </div>
+        <div className="mb-6 text-sm text-text-secondary">
+          {vibePanelMessage || t('vibe.offTopicDefault', { ns: 'workflow' })}
+        </div>
+        {vibePanelSuggestions.length > 0 && (
+          <div className="w-full">
+            <div className="mb-3 text-xs font-medium text-text-tertiary">
+              {t('vibe.trySuggestion', { ns: 'workflow' })}
+            </div>
+            <div className="flex flex-col gap-2">
+              {vibePanelSuggestions.map((suggestion, index) => (
+                <button
+                  key={index}
+                  onClick={() => handleSuggestionClick(suggestion)}
+                  className="w-full rounded-lg border border-divider-regular bg-components-panel-bg px-4 py-2.5 text-left text-sm text-text-secondary transition-colors hover:border-components-button-primary-border hover:bg-state-accent-hover"
+                >
+                  {suggestion}
+                </button>
+              ))}
+            </div>
+          </div>
+        )}
+      </div>
+    </div>
+  )
+
+  return (
+    <Modal
+      isShow={showVibePanel}
+      onClose={handleClose}
+      className="min-w-[1140px] !p-0"
+      clickOutsideNotClose
+    >
+      <div className="flex h-[680px] flex-wrap">
+        <div className="h-full w-[300px] shrink-0 overflow-y-auto border-r border-divider-regular p-6">
+          <div className="mb-5">
+            <div className="text-lg font-bold leading-[28px] text-text-primary">{t('gotoAnything.actions.vibeTitle', { ns: 'app' })}</div>
+            <div className="mt-1 text-[13px] font-normal text-text-tertiary">{t('gotoAnything.actions.vibeDesc', { ns: 'app' })}</div>
+          </div>
+          <div>
+            <ModelParameterModal
+              popupClassName="!w-[520px]"
+              portalToFollowElemContentClassName="z-[1000]"
+              isAdvancedMode={true}
+              provider={model.provider}
+              completionParams={model.completion_params}
+              modelId={model.name}
+              setModel={handleModelChange}
+              onCompletionParamsChange={handleCompletionParamsChange}
+              hideDebugWithMultipleModel
+            />
+          </div>
+          <div className="mt-4">
+            <div className="system-sm-semibold-uppercase mb-1.5 text-text-secondary">{t('generate.instruction', { ns: 'appDebug' })}</div>
+            <Textarea
+              className="min-h-[240px] resize-none rounded-[10px] px-4 pt-3"
+              placeholder={t('vibe.missingInstruction', { ns: 'workflow' })}
+              value={vibePanelInstruction}
+              onChange={handleInstructionChange}
+            />
+          </div>
+
+          <div className="mt-7 flex justify-end space-x-2">
+            <Button onClick={handleClose}>{t('generate.dismiss', { ns: 'appDebug' })}</Button>
+            <Button
+              className="flex space-x-1"
+              variant="primary"
+              onClick={handleGenerate}
+              disabled={isVibeGenerating}
+            >
+              <Generator className="h-4 w-4" />
+              <span className="system-xs-semibold">{generateButtonLabel}</span>
+            </Button>
+          </div>
+        </div>
+
+        {!isVibeGenerating && vibePanelIntent === 'off_topic' && renderOffTopic}
+        {!isVibeGenerating && vibePanelIntent !== 'off_topic' && (vibePanelPreviewNodes.length > 0 || vibePanelMermaidCode) && (
+          <div className="h-full w-0 grow bg-background-default-subtle p-6 pb-0">
+            <div className="flex h-full flex-col">
+              <div className="mb-3 flex shrink-0 items-center justify-between">
+                <div className="flex shrink-0 flex-col">
+                  <div className="system-xl-semibold text-text-secondary">{t('vibe.panelTitle', { ns: 'workflow' })}</div>
+                  <VersionSelector
+                    versionLen={versions.length}
+                    value={currentVersionIndex}
+                    onChange={handleVersionChange}
+                    contentClassName="z-[1200]"
+                  />
+                </div>
+                <div className="flex items-center space-x-2">
+                  <Button
+                    variant="secondary"
+                    size="medium"
+                    onClick={handleCopyMermaid}
+                    className="px-2"
+                  >
+                    <RiClipboardLine className="h-4 w-4" />
+                  </Button>
+                  <Button
+                    variant="primary"
+                    size="medium"
+                    onClick={handleAccept}
+                  >
+                    {t('vibe.apply', { ns: 'workflow' })}
+                  </Button>
+                </div>
+              </div>
+              <div className="flex grow flex-col overflow-hidden pb-6">
+                <WorkflowPreview
+                  key={currentVersionIndex}
+                  nodes={vibePanelPreviewNodes}
+                  edges={vibePanelPreviewEdges}
+                  viewport={{ x: 0, y: 0, zoom: 1 }}
+                  className="rounded-lg border border-divider-subtle"
+                />
+              </div>
+            </div>
+          </div>
+        )}
+        {isVibeGenerating && renderLoading}
+        {!isVibeGenerating && vibePanelIntent !== 'off_topic' && vibePanelPreviewNodes.length === 0 && !vibePanelMermaidCode && <ResPlaceholder />}
+      </div>
+    </Modal>
+  )
+}
+
+export default VibePanel

web/app/components/workflow/store/workflow/index.ts

@@ -12,6 +12,7 @@ import type { NodeSliceShape } from './node-slice'
 import type { PanelSliceShape } from './panel-slice'
 import type { ToolSliceShape } from './tool-slice'
 import type { VersionSliceShape } from './version-slice'
+import type { VibeWorkflowSliceShape } from './vibe-workflow-slice'
 import type { WorkflowDraftSliceShape } from './workflow-draft-slice'
 import type { WorkflowSliceShape } from './workflow-slice'
 import type { RagPipelineSliceShape } from '@/app/components/rag-pipeline/store'
@@ -34,6 +35,7 @@ import { createNodeSlice } from './node-slice'
 import { createPanelSlice } from './panel-slice'
 import { createToolSlice } from './tool-slice'
 import { createVersionSlice } from './version-slice'
+import { createVibeWorkflowSlice } from './vibe-workflow-slice'
 import { createWorkflowDraftSlice } from './workflow-draft-slice'
 import { createWorkflowSlice } from './workflow-slice'
 
@@ -56,6 +58,7 @@ export type Shape
     & InspectVarsSliceShape
     & LayoutSliceShape
     & SliceFromInjection
+    & VibeWorkflowSliceShape
 
 export type InjectWorkflowStoreSliceFn = StateCreator<SliceFromInjection>
 
@@ -80,6 +83,7 @@ export const createWorkflowStore = (params: CreateWorkflowStoreParams) => {
     ...createWorkflowSlice(...args),
     ...createInspectVarsSlice(...args),
     ...createLayoutSlice(...args),
+    ...createVibeWorkflowSlice(...args),
     ...(injectWorkflowStoreSliceFn?.(...args) || {} as SliceFromInjection),
   }))
 }

web/app/components/workflow/store/workflow/panel-slice.ts

@@ -1,4 +1,7 @@
 import type { StateCreator } from 'zustand'
+import type { BackendEdgeSpec, BackendNodeSpec } from '@/service/debug'
+
+export type VibeIntent = 'generate' | 'off_topic' | 'error' | ''
 
 export type PanelSliceShape = {
   panelWidth: number
@@ -24,6 +27,26 @@ export type PanelSliceShape = {
   setShowVariableInspectPanel: (showVariableInspectPanel: boolean) => void
   initShowLastRunTab: boolean
   setInitShowLastRunTab: (initShowLastRunTab: boolean) => void
+  showVibePanel: boolean
+  setShowVibePanel: (showVibePanel: boolean) => void
+  vibePanelMermaidCode: string
+  setVibePanelMermaidCode: (vibePanelMermaidCode: string) => void
+  vibePanelBackendNodes?: BackendNodeSpec[]
+  setVibePanelBackendNodes: (nodes?: BackendNodeSpec[]) => void
+  vibePanelBackendEdges?: BackendEdgeSpec[]
+  setVibePanelBackendEdges: (edges?: BackendEdgeSpec[]) => void
+  isVibeGenerating: boolean
+  setIsVibeGenerating: (isVibeGenerating: boolean) => void
+  vibePanelInstruction: string
+  setVibePanelInstruction: (vibePanelInstruction: string) => void
+  vibePanelIntent: VibeIntent
+  setVibePanelIntent: (vibePanelIntent: VibeIntent) => void
+  vibePanelMessage: string
+  setVibePanelMessage: (vibePanelMessage: string) => void
+  vibePanelSuggestions: string[]
+  setVibePanelSuggestions: (vibePanelSuggestions: string[]) => void
+  vibePanelLastWarnings: string[]
+  setVibePanelLastWarnings: (vibePanelLastWarnings: string[]) => void
 }
 
 export const createPanelSlice: StateCreator<PanelSliceShape> = set => ({
@@ -44,4 +67,24 @@ export const createPanelSlice: StateCreator<PanelSliceShape> = set => ({
   setShowVariableInspectPanel: showVariableInspectPanel => set(() => ({ showVariableInspectPanel })),
   initShowLastRunTab: false,
   setInitShowLastRunTab: initShowLastRunTab => set(() => ({ initShowLastRunTab })),
+  showVibePanel: false,
+  setShowVibePanel: showVibePanel => set(() => ({ showVibePanel })),
+  vibePanelMermaidCode: '',
+  setVibePanelMermaidCode: vibePanelMermaidCode => set(() => ({ vibePanelMermaidCode })),
+  vibePanelBackendNodes: undefined,
+  setVibePanelBackendNodes: vibePanelBackendNodes => set(() => ({ vibePanelBackendNodes })),
+  vibePanelBackendEdges: undefined,
+  setVibePanelBackendEdges: vibePanelBackendEdges => set(() => ({ vibePanelBackendEdges })),
+  isVibeGenerating: false,
+  setIsVibeGenerating: isVibeGenerating => set(() => ({ isVibeGenerating })),
+  vibePanelInstruction: '',
+  setVibePanelInstruction: vibePanelInstruction => set(() => ({ vibePanelInstruction })),
+  vibePanelIntent: '',
+  setVibePanelIntent: vibePanelIntent => set(() => ({ vibePanelIntent })),
+  vibePanelMessage: '',
+  setVibePanelMessage: vibePanelMessage => set(() => ({ vibePanelMessage })),
+  vibePanelSuggestions: [],
+  setVibePanelSuggestions: vibePanelSuggestions => set(() => ({ vibePanelSuggestions })),
+  vibePanelLastWarnings: [],
+  setVibePanelLastWarnings: vibePanelLastWarnings => set(() => ({ vibePanelLastWarnings })),
 })

web/app/components/workflow/store/workflow/vibe-workflow-slice.ts

@@ -0,0 +1,78 @@
+import type { StateCreator } from 'zustand'
+import type { Edge, Node } from '../../types'
+
+export type FlowGraph = {
+  nodes: Node[]
+  edges: Edge[]
+}
+
+export type VibeWorkflowSliceShape = {
+  vibePanelMermaidCode: string
+  setVibePanelMermaidCode: (vibePanelMermaidCode: string) => void
+  isVibeGenerating: boolean
+  setIsVibeGenerating: (isVibeGenerating: boolean) => void
+  vibePanelInstruction: string
+  setVibePanelInstruction: (vibePanelInstruction: string) => void
+  vibeFlowVersions: FlowGraph[]
+  setVibeFlowVersions: (versions: FlowGraph[]) => void
+  vibeFlowCurrentIndex: number
+  setVibeFlowCurrentIndex: (index: number) => void
+  addVibeFlowVersion: (version: FlowGraph) => void
+  currentVibeFlow: FlowGraph | undefined
+}
+
+const getCurrentVibeFlow = (versions: FlowGraph[], currentIndex: number): FlowGraph | undefined => {
+  if (!versions || versions.length === 0)
+    return undefined
+  const index = currentIndex ?? 0
+  if (index < 0)
+    return undefined
+  return versions[index] || versions[versions.length - 1]
+}
+
+export const createVibeWorkflowSlice: StateCreator<VibeWorkflowSliceShape> = (set, get) => ({
+  vibePanelMermaidCode: '',
+  setVibePanelMermaidCode: vibePanelMermaidCode => set(() => ({ vibePanelMermaidCode })),
+  isVibeGenerating: false,
+  setIsVibeGenerating: isVibeGenerating => set(() => ({ isVibeGenerating })),
+  vibePanelInstruction: '',
+  setVibePanelInstruction: vibePanelInstruction => set(() => ({ vibePanelInstruction })),
+  vibeFlowVersions: [],
+  setVibeFlowVersions: versions => set((state) => {
+    const currentVibeFlow = getCurrentVibeFlow(versions, state.vibeFlowCurrentIndex)
+    return { vibeFlowVersions: versions, currentVibeFlow }
+  }),
+  vibeFlowCurrentIndex: 0,
+  setVibeFlowCurrentIndex: (index) => {
+    const state = get()
+    const versions = state.vibeFlowVersions || []
+
+    if (!versions || versions.length === 0) {
+      set({ vibeFlowCurrentIndex: 0, currentVibeFlow: undefined })
+      return
+    }
+
+    const normalizedIndex = Math.min(Math.max(index, 0), versions.length - 1)
+    const currentVibeFlow = getCurrentVibeFlow(versions, normalizedIndex)
+    set({ vibeFlowCurrentIndex: normalizedIndex, currentVibeFlow })
+  },
+  addVibeFlowVersion: (version) => {
+    // Prevent adding empty graphs
+    if (!version || !version.nodes || version.nodes.length === 0) {
+      set({ vibeFlowCurrentIndex: -1, currentVibeFlow: undefined })
+      return
+    }
+
+    set((state) => {
+      const newVersions = [...(state.vibeFlowVersions || []), version]
+      const newIndex = newVersions.length - 1
+      const currentVibeFlow = getCurrentVibeFlow(newVersions, newIndex)
+      return {
+        vibeFlowVersions: newVersions,
+        vibeFlowCurrentIndex: newIndex,
+        currentVibeFlow,
+      }
+    })
+  },
+  currentVibeFlow: undefined,
+})

web/app/components/workflow/utils/workflow-init.ts

@@ -111,8 +111,8 @@ export const preprocessNodesAndEdges = (nodes: Node[], edges: Edge[]) => {
     const currentNode = nodes[i] as Node<IterationNodeType | LoopNodeType>
 
     if (currentNode.data.type === BlockEnum.Iteration) {
-      if (currentNode.data.start_node_id) {
-        if (nodesMap[currentNode.data.start_node_id]?.type !== CUSTOM_ITERATION_START_NODE)
+      if (currentNode.data.start_node_id && nodesMap[currentNode.data.start_node_id]) {
+        if (nodesMap[currentNode.data.start_node_id].type !== CUSTOM_ITERATION_START_NODE)
           iterationNodesWithStartNode.push(currentNode)
       }
       else {
@@ -121,8 +121,8 @@ export const preprocessNodesAndEdges = (nodes: Node[], edges: Edge[]) => {
     }
 
     if (currentNode.data.type === BlockEnum.Loop) {
-      if (currentNode.data.start_node_id) {
-        if (nodesMap[currentNode.data.start_node_id]?.type !== CUSTOM_LOOP_START_NODE)
+      if (currentNode.data.start_node_id && nodesMap[currentNode.data.start_node_id]) {
+        if (nodesMap[currentNode.data.start_node_id].type !== CUSTOM_LOOP_START_NODE)
           loopNodesWithStartNode.push(currentNode)
       }
       else {

web/app/components/workflow/workflow-preview/components/nodes/if-else/node.tsx

@@ -65,7 +65,7 @@ const IfElseNode: FC<NodeProps<IfElseNodeType>> = (props) => {
             </div>
             <div className="space-y-0.5">
               {caseItem.conditions.map((condition, i) => (
-                <div key={condition.id} className="relative">
+                <div key={condition.id || i} className="relative">
                   {
                     checkIsConditionSet(condition)
                       ? (

web/i18n/en-US/app.json

@@ -75,6 +75,9 @@
   "gotoAnything.actions.themeLightDesc": "Use light appearance",
   "gotoAnything.actions.themeSystem": "System Theme",
   "gotoAnything.actions.themeSystemDesc": "Follow your OS appearance",
+  "gotoAnything.actions.vibeDesc": "Generate workflow from natural language",
+  "gotoAnything.actions.vibeHint": "Try: {{prompt}}",
+  "gotoAnything.actions.vibeTitle": "Vibe",
   "gotoAnything.actions.zenDesc": "Toggle canvas focus mode",
   "gotoAnything.actions.zenTitle": "Zen Mode",
   "gotoAnything.clearToSearchAll": "Clear @ to search all",

web/i18n/en-US/workflow.json

@@ -1047,5 +1047,26 @@
   "versionHistory.nameThisVersion": "Name this version",
   "versionHistory.releaseNotesPlaceholder": "Describe what changed",
   "versionHistory.restorationTip": "After version restoration, the current draft will be overwritten.",
-  "versionHistory.title": "Versions"
+  "versionHistory.title": "Versions",
+  "vibe.apply": "Apply",
+  "vibe.generateError": "Failed to generate workflow. Please try again.",
+  "vibe.generatingFlowchart": "Generating flowchart preview...",
+  "vibe.invalidFlowchart": "The generated flowchart could not be parsed.",
+  "vibe.missingFlowchart": "No flowchart was generated.",
+  "vibe.missingInstruction": "Describe the workflow you want to build.",
+  "vibe.modelUnavailable": "No model available for flowchart generation.",
+  "vibe.noFlowchart": "No flowchart provided",
+  "vibe.noFlowchartYet": "No flowchart preview available",
+  "vibe.nodeTypeUnavailable": "Node type \"{{type}}\" is not available in this workflow.",
+  "vibe.nodesUnavailable": "Workflow nodes are not available yet.",
+  "vibe.offTopicDefault": "I'm the Dify workflow design assistant. I can help you create AI automation workflows, but I can't answer general questions. Would you like to create a workflow instead?",
+  "vibe.offTopicTitle": "Off-Topic Request",
+  "vibe.panelTitle": "Workflow Preview",
+  "vibe.readOnly": "This workflow is read-only.",
+  "vibe.regenerate": "Regenerate",
+  "vibe.regenerateReminder": "Please verify your input and re-generate.",
+  "vibe.toolUnavailable": "Tool \"{{tool}}\" is not available in this workspace.",
+  "vibe.trySuggestion": "Try one of these suggestions:",
+  "vibe.unknownNodeId": "Node \"{{id}}\" is used before it is defined.",
+  "vibe.unsupportedEdgeLabel": "Unsupported edge label \"{{label}}\". Only true/false are allowed for if/else."
 }

web/i18n/zh-Hans/workflow.json

@@ -1047,5 +1047,7 @@
   "versionHistory.nameThisVersion": "命名",
   "versionHistory.releaseNotesPlaceholder": "请描述变更",
   "versionHistory.restorationTip": "版本回滚后，当前草稿将被覆盖。",
-  "versionHistory.title": "版本"
+  "versionHistory.title": "版本",
+  "vibe.refine": "调整",
+  "vibe.regenerateReminder": "请检查输入并重新生成。"
 }

web/service/debug.ts

@@ -19,6 +19,48 @@ export type GenRes = {
   error?: string
 }
 
+export type ToolRecommendation = {
+  requested_capability: string
+  unconfigured_tools: Array<{
+    provider_id: string
+    tool_name: string
+    description: string
+  }>
+  configured_alternatives: Array<{
+    provider_id: string
+    tool_name: string
+    description: string
+  }>
+  recommendation: string
+}
+
+export type BackendNodeSpec = {
+  id: string
+  type: string
+  title?: string
+  config?: Record<string, any>
+  position?: { x: number, y: number }
+}
+
+export type BackendEdgeSpec = {
+  source: string
+  target: string
+  sourceHandle?: string
+  targetHandle?: string
+}
+
+export type FlowchartGenRes = {
+  intent?: 'generate' | 'off_topic' | 'error'
+  flowchart: string
+  nodes?: BackendNodeSpec[]
+  edges?: BackendEdgeSpec[]
+  message?: string
+  warnings?: string[]
+  suggestions?: string[]
+  tool_recommendations?: ToolRecommendation[]
+  error?: string
+}
+
 export type CodeGenRes = {
   code: string
   language: string[]
@@ -93,6 +135,12 @@ export const generateRule = (body: Record<string, any>) => {
   })
 }
 
+export const generateFlowchart = (body: Record<string, any>) => {
+  return post<FlowchartGenRes>('/flowchart-generate', {
+    body,
+  })
+}
+
 export const fetchModelParams = (providerName: string, modelId: string) => {
   return get(`workspaces/current/model-providers/${providerName}/models/parameter-rules`, {
     params: {