Files
crewAI/src/crewai/agents/agent_adapters/langgraph/structured_output_converter.py
Devin AI b7e4d074a5 Fix lint issues and update agent.execute_task for recursion depth
- Remove unused imports and variables in test files
- Replace bare except with specific exception in structured_output_converter.py
- Fix None comparison in llm_test.py
- Update agent.execute_task to accept recursion_depth parameter

Resolves all remaining lint issues for A2A protocol implementation.

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-05-25 04:20:26 +00:00

81 lines
3.0 KiB
Python

import json
from crewai.agents.agent_adapters.base_converter_adapter import BaseConverterAdapter
from crewai.utilities.converter import generate_model_description
class LangGraphConverterAdapter(BaseConverterAdapter):
"""Adapter for handling structured output conversion in LangGraph agents"""
def __init__(self, agent_adapter):
"""Initialize the converter adapter with a reference to the agent adapter"""
self.agent_adapter = agent_adapter
self._output_format = None
self._schema = None
self._system_prompt_appendix = None
def configure_structured_output(self, task) -> None:
"""Configure the structured output for LangGraph."""
if not (task.output_json or task.output_pydantic):
self._output_format = None
self._schema = None
self._system_prompt_appendix = None
return
if task.output_json:
self._output_format = "json"
self._schema = generate_model_description(task.output_json)
elif task.output_pydantic:
self._output_format = "pydantic"
self._schema = generate_model_description(task.output_pydantic)
self._system_prompt_appendix = self._generate_system_prompt_appendix()
def _generate_system_prompt_appendix(self) -> str:
"""Generate an appendix for the system prompt to enforce structured output"""
if not self._output_format or not self._schema:
return ""
return f"""
Important: Your final answer MUST be provided in the following structured format:
{self._schema}
DO NOT include any markdown code blocks, backticks, or other formatting around your response.
The output should be raw JSON that exactly matches the specified schema.
"""
def enhance_system_prompt(self, original_prompt: str) -> str:
"""Add structured output instructions to the system prompt if needed"""
if not self._system_prompt_appendix:
return original_prompt
return f"{original_prompt}\n{self._system_prompt_appendix}"
def post_process_result(self, result: str) -> str:
"""Post-process the result to ensure it matches the expected format"""
if not self._output_format:
return result
# Try to extract valid JSON if it's wrapped in code blocks or other text
if self._output_format in ["json", "pydantic"]:
try:
# First, try to parse as is
json.loads(result)
return result
except json.JSONDecodeError:
# Try to extract JSON from the text
import re
json_match = re.search(r"(\{.*\})", result, re.DOTALL)
if json_match:
try:
extracted = json_match.group(1)
# Validate it's proper JSON
json.loads(extracted)
return extracted
except json.JSONDecodeError:
pass
return result