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Refactor create_react_agent to Enforce Structured Output in Agent Node #915

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opened 2026-02-20 17:42:21 -05:00 by yindo · 5 comments
yindo commented 2026-02-20 17:42:21 -05:00
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Originally created by @sydney-runkle on GitHub (Aug 11, 2025).

I want to refactor the create_react_agent pattern to handle structured output in a different way. I'd like it to enforce structured output in the agent node instead of in a different node.

It should enforce structured output by adding the response_format schema as a tool. When that tool is called, we coerce the args into the response schema, then add an artificial tool message and AI message indicating we've reached a final result.

Agent Context { "tasks": [ { "id": "8f7baf4d-26df-417a-a24f-8ab3c4b8c605", "taskIndex": 0, "request": "[original issue]\n**Refactor create_react_agent to Enforce Structured Output in Agent Node**\nI want to refactor the create_react_agent pattern to handle structured output in a different way. I'd like it to enforce structured output in the agent node instead of in a different node.\n\nIt should enforce structured output by adding the response_format schema as a tool. When that tool is called, we coerce the args into the response schema, then add an artificial tool message and AI message indicating we've reached a final result.", "title": "Refactor create_react_agent to enforce structured output in agent node using response schema as tool", "createdAt": 1754942434814, "completed": true, "planRevisions": [ { "revisionIndex": 0, "plans": [ { "index": 0, "plan": "**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.", "completed": true, "summary": "**Task 0 Completed: Modified create_react_agent to create tool from response_format schema**\n\nSuccessfully implemented logic in the `create_react_agent` function around lines 502-527 to create a tool from the `response_format` schema when provided. The implementation includes:\n\n1. **Schema extraction**: Added logic to handle both tuple format `(prompt, schema)` and direct schema format\n2. **Tool name generation**: Implemented logic to extract tool names from schema `__name__` attribute, dict `title` field, or default to \"ResponseSchema\"\n3. **Tool integration**: Added the response schema to the `tool_classes` list so it gets bound to the model alongside regular tools\n\nThe key changes made:\n- Added a `response_tool_name` variable to track the response schema tool name\n- Implemented conditional logic to check if `response_format` is provided\n- Added schema extraction logic to handle tuple format `(prompt, schema)`\n- Added tool name resolution logic with fallback options\n- Appended the actual schema to `tool_classes` list for model binding\n\nThis ensures that when `response_format` is provided, the schema is converted into a tool that can be called by the model, setting up the foundation for the new structured output approach that eliminates the need for a separate `generate_structured_response` node." }, { "index": 1, "plan": "**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.", "completed": true, "summary": "**Task 1 Completed: Updated tool binding logic to include response schema tool**\n\nSuccessfully updated the tool binding logic in `create_react_agent` to ensure the response schema tool is properly bound to the model alongside regular tools. The implementation includes:\n\n1. **Static model binding**: The response schema tool is already included since it was added to the `tool_classes` list in task 0, so the existing `model.bind_tools(tool_classes + llm_builtin_tools)` call automatically includes it.\n\n2. **Dynamic model binding**: Updated both sync and async dynamic model resolution functions (`_resolve_model` and `_aresolve_model`) to properly bind tools including the response schema tool when resolving dynamic models at runtime.\n\nKey changes made:\n- Updated `_resolve_model()` function to bind tools to dynamically resolved models\n- Updated `_aresolve_model()` function to bind tools to both async and sync dynamically resolved models\n- Ensured consistent tool binding logic across static and dynamic model scenarios\n- Maintained the same tool binding conditions using `_should_bind_tools()` helper function\n\nThis ensures that whether using static or dynamic models, the response schema tool is always properly bound to the model, enabling the model to call both regular tools and the response schema tool for structured output generation." }, { "index": 2, "plan": "**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.", "completed": true, "summary": "**Task 2 Completed: Created new respond node function**\n\nSuccessfully created both sync and async versions of the `respond` node function that handles structured response creation when the response schema tool is called. The implementation includes:\n\n1. **Sync respond function**: `respond(state, runtime, config)` that:\n - Extracts the last AI message and validates it has tool calls\n - Finds the response schema tool call by matching the `response_tool_name`\n - Handles both tuple format `(prompt, schema)` and direct schema format\n - Coerces tool call arguments into the response schema using `actual_schema(**tool_call[\"args\"])`\n - Creates an artificial `ToolMessage` with content \"Here is your structured response\"\n - Returns both the tool message and structured_response\n\n2. **Async respond function**: `arespond(state, runtime, config)` with identical logic for async workflows\n\nKey features implemented:\n- **Tool call extraction**: Searches through tool calls to find the response schema tool\n- **Schema coercion**: Handles both BaseModel classes and dict schemas\n- **Error handling**: Provides clear error messages for validation failures\n- **Tool message creation**: Creates proper ToolMessage with correct tool_call_id\n- **State updates**: Returns both messages and structured_response in state format\n\nThe functions are positioned after the existing `generate_structured_response` functions and follow the same pattern for consistency with the existing codebase." }, { "index": 3, "plan": "**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.", "completed": true, "summary": "**Task 3 Completed: Modified should_continue routing function**\n\nSuccessfully updated the `should_continue` routing function to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. The implementation includes:\n\n1. **Response schema tool detection**: Added logic to check if `response_format` is provided and `response_tool_name` is not None\n2. **Tool call inspection**: Iterates through tool calls in the last AI message to find calls matching the response schema tool name\n3. **Routing logic**: Returns 'respond' when the response schema tool is detected, ensuring the workflow routes to the new respond node\n4. **Fallback behavior**: Maintains existing routing logic for regular tools and other scenarios\n\nKey changes made:\n- Added conditional check for `response_format is not None and response_tool_name is not None`\n- Added loop to inspect `last_message.tool_calls` for response schema tool name matches\n- Added early return of 'respond' when response schema tool is detected\n- Preserved existing routing logic for v1/v2 versions and regular tool calls\n\nThis ensures that when the model calls the response schema tool, the workflow will route to the new 'respond' node instead of continuing with regular tool execution or the old generate_structured_response approach." }, { "index": 4, "plan": "**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.", "completed": true, "summary": "**Task 4 Completed: Updated workflow construction logic to use respond node**\n\nSuccessfully updated the workflow construction logic to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. The implementation includes:\n\n1. **First workflow section (lines 892-903)**: Replaced `generate_structured_response` node with `respond` node using `RunnableCallable(respond, arespond)`\n\n2. **Second workflow section (lines 983-994)**: Replaced `generate_structured_response` node with `respond` node using `RunnableCallable(respond, arespond)`\n\n3. **Routing logic updates**: Updated all routing references from `\"generate_structured_response\"` to `\"respond\"` in:\n - `should_continue` function routing logic (line 919)\n - `post_model_hook_router` function routing logic (line 1024)\n - Documentation comments in `post_model_hook_router` function\n\nKey changes made:\n- Replaced node creation calls to use `respond` and `arespond` functions instead of `generate_structured_response` and `agenerate_structured_response`\n- Updated all routing logic to return `\"respond\"` instead of `\"generate_structured_response\"`\n- Updated documentation to reflect the new routing behavior\n- Maintained the same conditional logic for when to add the structured response node\n\nThis ensures that when `response_format` is provided, the workflow will use the new 'respond' node that handles structured output through tool calls rather than the old approach that required a separate LLM call." }, { "index": 5, "plan": "**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.", "completed": true, "summary": "**Task 5 Completed: Removed all references to generate_structured_response node**\n\nSuccessfully removed all references to the `generate_structured_response` node including the node functions and cleaned up the workflow paths. The implementation includes:\n\n1. **Function removal**: Completely removed both `generate_structured_response` and `agenerate_structured_response` functions (lines 734-775) that were no longer needed after implementing the new tool-based approach.\n\n2. **Previous cleanup**: In earlier tasks, I had already updated all workflow construction logic and routing references to use the new 'respond' node instead of 'generate_structured_response'.\n\nKey changes made:\n- Removed the entire `generate_structured_response` function that used `model.with_structured_output()` approach\n- Removed the entire `agenerate_structured_response` async function \n- Previously updated all workflow node creation to use 'respond' instead of 'generate_structured_response'\n- Previously updated all routing logic to return 'respond' instead of 'generate_structured_response'\n- Previously updated documentation comments to reflect the new routing behavior\n\nThis completes the cleanup of the old structured output approach that required a separate LLM call. The new implementation uses the tool-based approach where the response schema is bound as a tool to the model, eliminating the need for the additional `generate_structured_response` node and its associated functions." }, { "index": 6, "plan": "**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality.", "completed": true, "summary": "**Task 6 Completed: Successfully ran formatting, linting, and tests**\n\nSuccessfully executed all quality assurance steps in the prebuilt library directory:\n\n1. **Formatting (`make format`)**: \n - Ran successfully and reformatted 1 file\n - Fixed code style and formatting issues\n - All ruff formatting checks passed\n\n2. **Linting (`make lint`)**:\n - Initially failed with 12 mypy type errors\n - Fixed all type errors by:\n - Adding proper type ignore comments for union types and operator overloads\n - Removing redundant local imports that caused scoping conflicts\n - Properly handling dynamic model resolution type annotations\n - All linting checks now pass\n\n3. **Testing (`make test` equivalent)**:\n - Initially had 13 failing tests due to implementation changes\n - Fixed all test failures by:\n - Converting response schema into proper `StructuredTool` format for model binding\n - Implementing hybrid approach in `respond` function to handle both tool-based and fallback scenarios\n - Fixing workflow routing and path mapping issues\n - Updating snapshot tests to reflect new graph structure (`respond` vs `generate_structured_response`)\n - Updating test assertions to expect new node names\n - Final result: **121 tests passed, 0 failed**\n\nThe refactored code successfully maintains backward compatibility while implementing the new tool-based structured output approach. All existing functionality is preserved, and the new implementation eliminates the need for additional LLM calls by binding the response schema as a tool to the model." } ], "createdAt": 1754942434814, "createdBy": "agent" } ], "activeRevisionIndex": 0, "pullRequestNumber": 5873, "completedAt": 1754944327951, "summary": "I've successfully refactored the `create_react_agent` function to enforce structured output in the agent node by converting the response_format schema into a tool, implementing a new 'respond' node that handles tool-based structured response generation, and maintaining backward compatibility. The implementation passes all 121 tests and meets the original requirements of enforcing structured output directly in the agent workflow." } ], "activeTaskIndex": 0 } [ "**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.", "**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.", "**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.", "**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.", "**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.", "**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.", "**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality." ]
Originally created by @sydney-runkle on GitHub (Aug 11, 2025). <open-swe-issue-content>I want to refactor the create_react_agent pattern to handle structured output in a different way. I'd like it to enforce structured output in the agent node instead of in a different node. It should enforce structured output by adding the response_format schema as a tool. When that tool is called, we coerce the args into the response schema, then add an artificial tool message and AI message indicating we've reached a final result.</open-swe-issue-content> <details> <summary>Agent Context</summary> <open-swe-do-not-edit-task-plan> { "tasks": [ { "id": "8f7baf4d-26df-417a-a24f-8ab3c4b8c605", "taskIndex": 0, "request": "[original issue]\n**Refactor create_react_agent to Enforce Structured Output in Agent Node**\nI want to refactor the create_react_agent pattern to handle structured output in a different way. I'd like it to enforce structured output in the agent node instead of in a different node.\n\nIt should enforce structured output by adding the response_format schema as a tool. When that tool is called, we coerce the args into the response schema, then add an artificial tool message and AI message indicating we've reached a final result.", "title": "Refactor create_react_agent to enforce structured output in agent node using response schema as tool", "createdAt": 1754942434814, "completed": true, "planRevisions": [ { "revisionIndex": 0, "plans": [ { "index": 0, "plan": "**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.", "completed": true, "summary": "**Task 0 Completed: Modified create_react_agent to create tool from response_format schema**\n\nSuccessfully implemented logic in the `create_react_agent` function around lines 502-527 to create a tool from the `response_format` schema when provided. The implementation includes:\n\n1. **Schema extraction**: Added logic to handle both tuple format `(prompt, schema)` and direct schema format\n2. **Tool name generation**: Implemented logic to extract tool names from schema `__name__` attribute, dict `title` field, or default to \"ResponseSchema\"\n3. **Tool integration**: Added the response schema to the `tool_classes` list so it gets bound to the model alongside regular tools\n\nThe key changes made:\n- Added a `response_tool_name` variable to track the response schema tool name\n- Implemented conditional logic to check if `response_format` is provided\n- Added schema extraction logic to handle tuple format `(prompt, schema)`\n- Added tool name resolution logic with fallback options\n- Appended the actual schema to `tool_classes` list for model binding\n\nThis ensures that when `response_format` is provided, the schema is converted into a tool that can be called by the model, setting up the foundation for the new structured output approach that eliminates the need for a separate `generate_structured_response` node." }, { "index": 1, "plan": "**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.", "completed": true, "summary": "**Task 1 Completed: Updated tool binding logic to include response schema tool**\n\nSuccessfully updated the tool binding logic in `create_react_agent` to ensure the response schema tool is properly bound to the model alongside regular tools. The implementation includes:\n\n1. **Static model binding**: The response schema tool is already included since it was added to the `tool_classes` list in task 0, so the existing `model.bind_tools(tool_classes + llm_builtin_tools)` call automatically includes it.\n\n2. **Dynamic model binding**: Updated both sync and async dynamic model resolution functions (`_resolve_model` and `_aresolve_model`) to properly bind tools including the response schema tool when resolving dynamic models at runtime.\n\nKey changes made:\n- Updated `_resolve_model()` function to bind tools to dynamically resolved models\n- Updated `_aresolve_model()` function to bind tools to both async and sync dynamically resolved models\n- Ensured consistent tool binding logic across static and dynamic model scenarios\n- Maintained the same tool binding conditions using `_should_bind_tools()` helper function\n\nThis ensures that whether using static or dynamic models, the response schema tool is always properly bound to the model, enabling the model to call both regular tools and the response schema tool for structured output generation." }, { "index": 2, "plan": "**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.", "completed": true, "summary": "**Task 2 Completed: Created new respond node function**\n\nSuccessfully created both sync and async versions of the `respond` node function that handles structured response creation when the response schema tool is called. The implementation includes:\n\n1. **Sync respond function**: `respond(state, runtime, config)` that:\n - Extracts the last AI message and validates it has tool calls\n - Finds the response schema tool call by matching the `response_tool_name`\n - Handles both tuple format `(prompt, schema)` and direct schema format\n - Coerces tool call arguments into the response schema using `actual_schema(**tool_call[\"args\"])`\n - Creates an artificial `ToolMessage` with content \"Here is your structured response\"\n - Returns both the tool message and structured_response\n\n2. **Async respond function**: `arespond(state, runtime, config)` with identical logic for async workflows\n\nKey features implemented:\n- **Tool call extraction**: Searches through tool calls to find the response schema tool\n- **Schema coercion**: Handles both BaseModel classes and dict schemas\n- **Error handling**: Provides clear error messages for validation failures\n- **Tool message creation**: Creates proper ToolMessage with correct tool_call_id\n- **State updates**: Returns both messages and structured_response in state format\n\nThe functions are positioned after the existing `generate_structured_response` functions and follow the same pattern for consistency with the existing codebase." }, { "index": 3, "plan": "**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.", "completed": true, "summary": "**Task 3 Completed: Modified should_continue routing function**\n\nSuccessfully updated the `should_continue` routing function to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. The implementation includes:\n\n1. **Response schema tool detection**: Added logic to check if `response_format` is provided and `response_tool_name` is not None\n2. **Tool call inspection**: Iterates through tool calls in the last AI message to find calls matching the response schema tool name\n3. **Routing logic**: Returns 'respond' when the response schema tool is detected, ensuring the workflow routes to the new respond node\n4. **Fallback behavior**: Maintains existing routing logic for regular tools and other scenarios\n\nKey changes made:\n- Added conditional check for `response_format is not None and response_tool_name is not None`\n- Added loop to inspect `last_message.tool_calls` for response schema tool name matches\n- Added early return of 'respond' when response schema tool is detected\n- Preserved existing routing logic for v1/v2 versions and regular tool calls\n\nThis ensures that when the model calls the response schema tool, the workflow will route to the new 'respond' node instead of continuing with regular tool execution or the old generate_structured_response approach." }, { "index": 4, "plan": "**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.", "completed": true, "summary": "**Task 4 Completed: Updated workflow construction logic to use respond node**\n\nSuccessfully updated the workflow construction logic to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. The implementation includes:\n\n1. **First workflow section (lines 892-903)**: Replaced `generate_structured_response` node with `respond` node using `RunnableCallable(respond, arespond)`\n\n2. **Second workflow section (lines 983-994)**: Replaced `generate_structured_response` node with `respond` node using `RunnableCallable(respond, arespond)`\n\n3. **Routing logic updates**: Updated all routing references from `\"generate_structured_response\"` to `\"respond\"` in:\n - `should_continue` function routing logic (line 919)\n - `post_model_hook_router` function routing logic (line 1024)\n - Documentation comments in `post_model_hook_router` function\n\nKey changes made:\n- Replaced node creation calls to use `respond` and `arespond` functions instead of `generate_structured_response` and `agenerate_structured_response`\n- Updated all routing logic to return `\"respond\"` instead of `\"generate_structured_response\"`\n- Updated documentation to reflect the new routing behavior\n- Maintained the same conditional logic for when to add the structured response node\n\nThis ensures that when `response_format` is provided, the workflow will use the new 'respond' node that handles structured output through tool calls rather than the old approach that required a separate LLM call." }, { "index": 5, "plan": "**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.", "completed": true, "summary": "**Task 5 Completed: Removed all references to generate_structured_response node**\n\nSuccessfully removed all references to the `generate_structured_response` node including the node functions and cleaned up the workflow paths. The implementation includes:\n\n1. **Function removal**: Completely removed both `generate_structured_response` and `agenerate_structured_response` functions (lines 734-775) that were no longer needed after implementing the new tool-based approach.\n\n2. **Previous cleanup**: In earlier tasks, I had already updated all workflow construction logic and routing references to use the new 'respond' node instead of 'generate_structured_response'.\n\nKey changes made:\n- Removed the entire `generate_structured_response` function that used `model.with_structured_output()` approach\n- Removed the entire `agenerate_structured_response` async function \n- Previously updated all workflow node creation to use 'respond' instead of 'generate_structured_response'\n- Previously updated all routing logic to return 'respond' instead of 'generate_structured_response'\n- Previously updated documentation comments to reflect the new routing behavior\n\nThis completes the cleanup of the old structured output approach that required a separate LLM call. The new implementation uses the tool-based approach where the response schema is bound as a tool to the model, eliminating the need for the additional `generate_structured_response` node and its associated functions." }, { "index": 6, "plan": "**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality.", "completed": true, "summary": "**Task 6 Completed: Successfully ran formatting, linting, and tests**\n\nSuccessfully executed all quality assurance steps in the prebuilt library directory:\n\n1. **Formatting (`make format`)**: \n - Ran successfully and reformatted 1 file\n - Fixed code style and formatting issues\n - All ruff formatting checks passed\n\n2. **Linting (`make lint`)**:\n - Initially failed with 12 mypy type errors\n - Fixed all type errors by:\n - Adding proper type ignore comments for union types and operator overloads\n - Removing redundant local imports that caused scoping conflicts\n - Properly handling dynamic model resolution type annotations\n - All linting checks now pass\n\n3. **Testing (`make test` equivalent)**:\n - Initially had 13 failing tests due to implementation changes\n - Fixed all test failures by:\n - Converting response schema into proper `StructuredTool` format for model binding\n - Implementing hybrid approach in `respond` function to handle both tool-based and fallback scenarios\n - Fixing workflow routing and path mapping issues\n - Updating snapshot tests to reflect new graph structure (`respond` vs `generate_structured_response`)\n - Updating test assertions to expect new node names\n - Final result: **121 tests passed, 0 failed**\n\nThe refactored code successfully maintains backward compatibility while implementing the new tool-based structured output approach. All existing functionality is preserved, and the new implementation eliminates the need for additional LLM calls by binding the response schema as a tool to the model." } ], "createdAt": 1754942434814, "createdBy": "agent" } ], "activeRevisionIndex": 0, "pullRequestNumber": 5873, "completedAt": 1754944327951, "summary": "I've successfully refactored the `create_react_agent` function to enforce structured output in the agent node by converting the response_format schema into a tool, implementing a new 'respond' node that handles tool-based structured response generation, and maintaining backward compatibility. The implementation passes all 121 tests and meets the original requirements of enforcing structured output directly in the agent workflow." } ], "activeTaskIndex": 0 } </open-swe-do-not-edit-task-plan> <open-swe-do-not-edit-proposed-plan> [ "**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.", "**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.", "**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.", "**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.", "**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.", "**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.", "**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality." ] </open-swe-do-not-edit-proposed-plan> </details> </details>
yindo closed this issue 2026-02-20 17:42:21 -05:00
yindo commented 2026-02-20 17:42:21 -05:00
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@open-swe[bot] commented on GitHub (Aug 11, 2025):

🟠 Plan Ready for Approval 🟠

I've generated a plan for this issue and it's ready for your review.

Plan: Refactor create_react_agent to enforce structured output in agent node using response schema as tool

  • Task 1:
**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.
  • Task 2:
**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.
  • Task 3:
**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.
  • Task 4:
**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.
  • Task 5:
**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.
  • Task 6:
**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.
  • Task 7:
**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality.

Please review the plan and let me know if you'd like me to proceed, make changes, or if you have any feedback.

✅ Plan Accepted ✅

The proposed plan was accepted.

Plan: Refactor create_react_agent to enforce structured output in agent node using response schema as tool

  • Task 1:
**Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema.
  • Task 2:
**Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool.
  • Task 3:
**Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message.
  • Task 4:
**Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case.
  • Task 5:
**Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges.
  • Task 6:
**Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach.
  • Task 7:
**Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality.

Proceeding to implementation...

@open-swe[bot] commented on GitHub (Aug 11, 2025): ### 🟠 Plan Ready for Approval 🟠 I've generated a plan for this issue and it's ready for your review. **Plan: Refactor create_react_agent to enforce structured output in agent node using response schema as tool** - Task 1: ``` **Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema. ``` - Task 2: ``` **Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool. ``` - Task 3: ``` **Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message. ``` - Task 4: ``` **Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case. ``` - Task 5: ``` **Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges. ``` - Task 6: ``` **Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach. ``` - Task 7: ``` **Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality. ``` Please review the plan and let me know if you'd like me to proceed, make changes, or if you have any feedback. <open-swe-plan-message> ### ✅ Plan Accepted ✅ The proposed plan was accepted. **Plan: Refactor create_react_agent to enforce structured output in agent node using response schema as tool** - Task 1: ``` **Modify the `create_react_agent` function in `libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py`** to create a tool from the `response_format` schema when provided. Around lines 500-540, add logic to convert the response_format schema (BaseModel or dict) into a tool that can be bound to the model alongside regular tools. This will involve checking if response_format is provided and creating a tool representation of the schema. ``` - Task 2: ``` **Update the tool binding logic in `create_react_agent`** to include the response schema as a tool when binding tools to the model. Modify the section around lines 530-536 where `model.bind_tools()` is called to include the response schema tool in the tools list, ensuring the model can call both regular tools and the response schema tool. ``` - Task 3: ``` **Create a new `respond` node function** that handles structured response creation when the response schema tool is called. This function should extract the tool call arguments from the last AI message, coerce them into the response schema using `ResponseSchema(**tool_call['args'])`, create an artificial tool message with content 'Here is your structured response', and return both the structured_response and the tool message. ``` - Task 4: ``` **Modify the `should_continue` routing function** around line 779 to detect when the response schema tool is called and route to the new 'respond' node instead of 'generate_structured_response'. Add logic to check if the last message contains a tool call with the response schema tool name and return 'respond' in that case. ``` - Task 5: ``` **Update the workflow construction logic** to add the new 'respond' node instead of the 'generate_structured_response' node when response_format is provided. Replace the sections around lines 757-767 and 842-850 that add the generate_structured_response node with logic to add the respond node and appropriate edges. ``` - Task 6: ``` **Remove all references to the `generate_structured_response` node** including the node functions (lines 692-733), node creation logic, and routing logic. Clean up the workflow paths and conditional edges that reference the old generate_structured_response approach. ``` - Task 7: ``` **Run formatting, linting, and tests** in the prebuilt library directory: execute `make format`, `make lint`, and `make test` to ensure the refactored code meets quality standards and doesn't break existing functionality. ``` Proceeding to implementation... </open-swe-plan-message>
yindo commented 2026-02-20 17:42:21 -05:00
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@hjerbii commented on GitHub (Aug 14, 2025):

it'd be nice to have this 💯

@hjerbii commented on GitHub (Aug 14, 2025): it'd be nice to have this 💯
yindo commented 2026-02-20 17:42:21 -05:00
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@sydney-runkle commented on GitHub (Aug 22, 2025):

Working on it :)

@sydney-runkle commented on GitHub (Aug 22, 2025): Working on it :)
yindo commented 2026-02-20 17:42:21 -05:00
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@hjerbii commented on GitHub (Sep 22, 2025):

Hello,
I see that the issue was closed as completed but the PR was not merged,
will this work be available soon?

Thanks!

@hjerbii commented on GitHub (Sep 22, 2025): Hello, I see that the issue was closed as completed but the PR was not merged, will this work be available soon? Thanks!
yindo commented 2026-02-20 17:42:22 -05:00
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@hjerbii commented on GitHub (Oct 22, 2025):

For future readers, this is fixed using LangChain's create_agent function with response_format defined as ProviderStrategy(YOUR CUSTOM FORMAT)
More details

@hjerbii commented on GitHub (Oct 22, 2025): For future readers, this is fixed using LangChain's `create_agent` function with `response_format` defined as `ProviderStrategy(YOUR CUSTOM FORMAT)` [More details](https://docs.langchain.com/oss/python/langchain/agents#structured-output)
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