From e135e0bcf5d2964420ad5f5edecb199fbb692c65 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sun, 12 Oct 2025 17:04:23 +0000 Subject: [PATCH 1/8] Replace openai-agents with pydantic-ai implementation - Migrated from openai-agents to pydantic-ai framework - Replaced Agent class from agents with Agent from pydantic_ai - Updated agent creation to use pydantic-ai patterns - Replaced handoff mechanism with tool-based delegation - Updated manager agent to delegate to developer using @agent.tool decorator - Replaced Runner.run with Agent.run methods - Replaced session-based management with message_history tracking - Updated MCP server integration to use pydantic_ai.mcp.MCPServerStdio - Removed function_tool decorators (pydantic-ai tools are plain functions) - Updated dependencies in pyproject.toml to use pydantic-ai and pydantic-ai-slim - Preserved manager-developer architecture and 3-phase workflow - All tests passing (98 passed, 2 skipped, 1 xfailed) Co-Authored-By: AJ Steers --- connector_builder_agents/src/agents.py | 170 +- connector_builder_agents/src/constants.py | 80 +- connector_builder_agents/src/guidance.py | 3 - connector_builder_agents/src/run.py | 270 +- connector_builder_agents/src/tools.py | 131 +- pyproject.toml | 2 + uv.lock | 3628 ++++++++++++++------- 7 files changed, 2632 insertions(+), 1652 deletions(-) diff --git a/connector_builder_agents/src/agents.py b/connector_builder_agents/src/agents.py index fd699ce..8232e6f 100644 --- a/connector_builder_agents/src/agents.py +++ b/connector_builder_agents/src/agents.py @@ -1,16 +1,8 @@ # Copyright (c) 2025 Airbyte, Inc., all rights reserved. """Agent implementations for the Airbyte connector builder.""" -from collections.abc import Callable +from pydantic_ai import Agent, RunContext -from agents import Agent as OpenAIAgent -from agents import ( - WebSearchTool, - handoff, -) -from pydantic.main import BaseModel - -# from agents import OpenAIConversationsSession from .guidance import get_default_developer_prompt, get_default_manager_prompt from .tools import ( SessionState, @@ -33,53 +25,48 @@ def create_developer_agent( additional_instructions: str, session_state: SessionState, mcp_servers: list, -) -> OpenAIAgent: +) -> Agent: """Create the developer agent that executes specific phases.""" - return OpenAIAgent( + developer_agent = Agent( + model, name="MCP Connector Developer", - instructions=get_default_developer_prompt( + deps_type=SessionState, + system_prompt=get_default_developer_prompt( api_name=api_name, instructions=additional_instructions, project_directory=session_state.workspace_dir.absolute(), ), - mcp_servers=mcp_servers, - model=model, tools=[ create_log_progress_milestone_from_developer_tool(session_state), create_log_problem_encountered_by_developer_tool(session_state), create_log_tool_failure_tool(session_state), - WebSearchTool(), ], ) + for mcp_server in mcp_servers: + developer_agent.toolsets.append(mcp_server) + + return developer_agent + def create_manager_agent( - developer_agent: OpenAIAgent, + developer_agent: Agent, model: str, api_name: str, additional_instructions: str, session_state: SessionState, mcp_servers: list, -) -> OpenAIAgent: +) -> Agent: """Create the manager agent that orchestrates the 3-phase workflow.""" - return OpenAIAgent( + manager_agent = Agent( + model, name="Connector Builder Manager", - instructions=get_default_manager_prompt( + deps_type=SessionState, + system_prompt=get_default_manager_prompt( api_name=api_name, instructions=additional_instructions, project_directory=session_state.workspace_dir.absolute(), ), - handoffs=[ - handoff( - agent=developer_agent, - tool_name_override="delegate_to_developer", - tool_description_override="Delegating work to the developer agent", - input_type=DelegatedDeveloperTask, - on_handoff=create_on_developer_delegation(session_state), - ), - ], - mcp_servers=mcp_servers, - model=model, tools=[ create_mark_job_success_tool(session_state), create_mark_job_failed_tool(session_state), @@ -91,77 +78,72 @@ def create_manager_agent( ], ) - -class DelegatedDeveloperTask(BaseModel): - """Input data for handoff from manager to developer.""" - - api_name: str - assignment_title: str - assignment_description: str - - -class ManagerHandoffInput(BaseModel): - """Input data for handoff from developer back to manager.""" - - short_status: str - detailed_progress_update: str - is_full_success: bool - is_partial_success: bool - is_blocked: bool - - -def create_on_developer_delegation(session_state: SessionState) -> Callable: - """Create an on_developer_delegation callback bound to a specific session state.""" - - async def on_developer_delegation(ctx, input_data: DelegatedDeveloperTask) -> None: + for mcp_server in mcp_servers: + manager_agent.toolsets.append(mcp_server) + + @manager_agent.tool + async def delegate_to_developer( + ctx: RunContext[SessionState], + assignment_title: str, + assignment_description: str, + ) -> str: + """Delegate work to the developer agent. + + Args: + assignment_title: Short title or key for this developer assignment. + assignment_description: Detailed description of the task assigned to the developer, + including all context and success criteria they need to complete it. + """ update_progress_log( f"šŸ¤ [MANAGER ā†’ DEVELOPER] Manager delegating task to developer agent." - f"\n Task Name: {input_data.assignment_title}" - f"\n Task Description: {input_data.assignment_description}", - session_state, + f"\n Task Name: {assignment_title}" + f"\n Task Description: {assignment_description}", + ctx.deps, ) - return on_developer_delegation - + result = await developer_agent.run( + assignment_description, + message_history=ctx.deps.message_history, + deps=ctx.deps, + ) -def create_on_manager_handback(session_state: SessionState): - """Create an on_manager_handback callback bound to a specific session state.""" + update_progress_log( + f"šŸ¤ [DEVELOPER ā†’ MANAGER] Developer completed task: {assignment_title}" + f"\n Result: {result.data}", + ctx.deps, + ) - async def on_manager_handback(ctx, input_data: ManagerHandoffInput) -> None: + ctx.deps.message_history.extend(result.new_messages()) + + return str(result.data) + + @developer_agent.tool + async def report_back_to_manager( + ctx: RunContext[SessionState], + short_status: str, + detailed_progress_update: str, + is_full_success: bool = False, + is_partial_success: bool = False, + is_blocked: bool = False, + ) -> str: + """Report progress or issues back to the manager agent. + + Args: + short_status: One sentence summary of what was accomplished. + detailed_progress_update: A detailed update on progress and next steps. + is_full_success: True if the phase is fully completed. + is_partial_success: True if partially done. + is_blocked: True if encountered a blocker. + """ update_progress_log( f"šŸ¤ [DEVELOPER ā†’ MANAGER] Developer handing back control to manager." - f"\n Summary of status: {input_data.short_status}" - f"\n Partial success: {input_data.is_partial_success}" - f"\n Full success: {input_data.is_full_success}" - f"\n Blocked: {input_data.is_blocked}" - f"\n Detailed progress update: {input_data.detailed_progress_update}", - session_state, + f"\n Summary of status: {short_status}" + f"\n Partial success: {is_partial_success}" + f"\n Full success: {is_full_success}" + f"\n Blocked: {is_blocked}" + f"\n Detailed progress update: {detailed_progress_update}", + ctx.deps, ) + return "Status reported to manager" - return on_manager_handback - - -def add_handback_to_manager( - developer_agent: OpenAIAgent, - manager_agent: OpenAIAgent, - session_state: SessionState, -) -> None: - """Add a handoff from the developer back to the manager to report progress.""" - developer_agent.handoffs.extend( - [ - handoff( - agent=manager_agent, - tool_name_override="report_back_to_manager", - tool_description_override="Report progress or issues back to the manager agent", - input_type=ManagerHandoffInput, - on_handoff=create_on_manager_handback(session_state), - ), - handoff( - agent=manager_agent, - tool_name_override="report_task_completion_to_manager", - tool_description_override="Report task completion to the manager agent", - input_type=ManagerHandoffInput, - on_handoff=create_on_manager_handback(session_state), - ), - ] - ) + return manager_agent diff --git a/connector_builder_agents/src/constants.py b/connector_builder_agents/src/constants.py index b1b6735..7336fd7 100644 --- a/connector_builder_agents/src/constants.py +++ b/connector_builder_agents/src/constants.py @@ -2,95 +2,19 @@ """Constants for the Airbyte connector builder agents.""" import os -import subprocess from pathlib import Path -from agents import ( - set_default_openai_api, - set_default_openai_client, - set_tracing_disabled, -) from dotenv import load_dotenv -from openai import AsyncOpenAI -# Initialize env vars: load_dotenv() -GH_MODELS_OPENAI_BASE_URL: str = "https://models.github.ai/inference" -OPENAI_BASE_URL_ENV_VAR: str = "OPENAI_BASE_URL" -OPENAI_API_KEY_ENV_VAR: str = "OPENAI_API_KEY" -OPENAI_BASE_URL: str = "https://api.openai.com/v1" - ROOT_PROMPT_FILE_PATH = Path(__file__).parent.parent / "prompts" / "root-prompt.md" ROOT_PROMPT_FILE_STR = ROOT_PROMPT_FILE_PATH.read_text(encoding="utf-8") MAX_CONNECTOR_BUILD_STEPS = 100 DEFAULT_CONNECTOR_BUILD_API_NAME: str = "JSONPlaceholder API" -DEFAULT_DEVELOPER_MODEL: str = ( - "gpt-5" # "gpt-4.1" # "o4-mini", "gpt-4.1-turbo", "openai/gpt-4o-mini", "gpt-4o-mini" -) -DEFAULT_MANAGER_MODEL: str = ( - "gpt-5" # "gpt-4.1" # "o4-mini", "gpt-4.1-turbo", "openai/gpt-4o-mini", "gpt-4o-mini" -) +DEFAULT_DEVELOPER_MODEL: str = "openai:gpt-4o" +DEFAULT_MANAGER_MODEL: str = "openai:gpt-4o" AUTO_OPEN_TRACE_URL: bool = os.environ.get("AUTO_OPEN_TRACE_URL", "1").lower() in {"1", "true"} HEADLESS_BROWSER = True - - -def initialize_models() -> None: - """Initialize LLM models based on environment variables.""" - global OPENAI_BASE_URL - - if OPENAI_BASE_URL_ENV_VAR in os.environ: - print("āš™ļø Detected custom OpenAI API root in environment.") - OPENAI_BASE_URL = os.environ[OPENAI_BASE_URL_ENV_VAR] - if "github.ai" in OPENAI_BASE_URL and OPENAI_BASE_URL != GH_MODELS_OPENAI_BASE_URL: - print( - f"āš ļø Warning: Detected GitHub Models endpoint but non-standard API root: {OPENAI_BASE_URL}. " - f"Recommended root URL is: {GH_MODELS_OPENAI_BASE_URL}" - ) - - if OPENAI_BASE_URL.lower() in {"gh", "github", "github models"}: - print( - f"Found GitHub Models endpoint alias: {OPENAI_BASE_URL}. " - f"Applying recommended Github Models URL root: {GH_MODELS_OPENAI_BASE_URL}" - ) - OPENAI_BASE_URL = GH_MODELS_OPENAI_BASE_URL - - if "github.ai" in OPENAI_BASE_URL and "OPENAI_API_KEY" not in os.environ: - print( - "GitHub Models endpoint detected but not API Root is set. " - "Attempting to extract token using `gh auth token` CLI command." - ) - - _ = subprocess.check_output(["gh", "auth", "status"]) - openai_api_key: str = ( - subprocess.check_output(["gh", "auth", "token"]).decode("utf-8").strip() - ) - print( - "āœ… Successfully extracted GitHub token from `gh` CLI: " - f"({openai_api_key[:4]}...{openai_api_key[-4:]})" - ) - if not openai_api_key.startswith("sk-"): - raise ValueError( - "Extracted GitHub token does not appear to be valid. " - "Please ensure you have the GitHub CLI installed and authenticated." - ) - os.environ["OPENAI_API_KEY"] = openai_api_key - - print(f"ā„¹ļø Using Custom OpenAI-Compatible LLM Endpoint: {OPENAI_BASE_URL}") - github_models_client = AsyncOpenAI( - base_url=OPENAI_BASE_URL, - api_key=os.environ.get("OPENAI_API_KEY", None), - ) - set_default_openai_client( - github_models_client, - use_for_tracing=False, - ) - set_default_openai_api( - "chat_completions" - ) # GH Models doesn't support 'responses' endpoint. - set_tracing_disabled(True) # Tracing not supported with GitHub Models endpoint. - - -initialize_models() diff --git a/connector_builder_agents/src/guidance.py b/connector_builder_agents/src/guidance.py index cf94144..d26ccbc 100644 --- a/connector_builder_agents/src/guidance.py +++ b/connector_builder_agents/src/guidance.py @@ -3,8 +3,6 @@ from pathlib import Path -from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX - from .constants import ROOT_PROMPT_FILE_STR @@ -70,7 +68,6 @@ def get_default_manager_prompt( instructions=instructions, ), get_project_directory_prompt(project_directory), - RECOMMENDED_PROMPT_PREFIX, ROOT_PROMPT_FILE_STR, ] ) diff --git a/connector_builder_agents/src/run.py b/connector_builder_agents/src/run.py index 998249b..66a3ab9 100644 --- a/connector_builder_agents/src/run.py +++ b/connector_builder_agents/src/run.py @@ -1,33 +1,23 @@ # Copyright (c) 2025 Airbyte, Inc., all rights reserved. """Functions to run connector builder agents in different modalities.""" -import os import sys import time from pathlib import Path -from agents import ( - Agent, - OpenAIConversationsSession, - Runner, - SQLiteSession, - gen_trace_id, - trace, -) -from agents.result import RunResult +from pydantic_ai import Agent -from ._util import get_secrets_dotenv, open_if_browser_available +from ._util import get_secrets_dotenv from .agents import ( - add_handback_to_manager, create_developer_agent, create_manager_agent, ) from .constants import ( DEFAULT_DEVELOPER_MODEL, DEFAULT_MANAGER_MODEL, - MAX_CONNECTOR_BUILD_STEPS, ) from .tools import ( + SessionState, create_session_mcp_servers, create_session_state, is_complete, @@ -47,29 +37,6 @@ def get_workspace_dir(session_id: str) -> Path: return workspace_dir -def create_session(session_id: str) -> OpenAIConversationsSession | SQLiteSession: - """Create a session based on OPENAI_SESSION_BACKEND environment variable. - - Args: - session_id: The session identifier - - Returns: - A session instance (either OpenAIConversationsSession or SQLiteSession) - """ - backend = os.getenv("OPENAI_SESSION_BACKEND", "openai").lower() - - if backend == "sqlite": - return SQLiteSession(session_id=session_id) - elif backend == "openai": - # OpenAI conversation_id has stricter name requirements than session_id. - # We'll let the OpenAIConversationsSession handle that internally. - return OpenAIConversationsSession() - else: - raise ValueError( - f"Invalid OPENAI_SESSION_BACKEND value: '{backend}'. Must be 'openai' or 'sqlite'" - ) - - async def run_connector_build( api_name: str | None = None, instructions: str | None = None, @@ -80,7 +47,7 @@ async def run_connector_build( *, interactive: bool = False, session_id: str | None = None, -) -> list[RunResult] | None: +) -> list | None: """Run an agentic AI connector build session with automatic mode selection.""" if not api_name and not instructions: raise ValueError("Either api_name or instructions must be provided.") @@ -145,87 +112,48 @@ async def run_interactive_build( session_id: str, ) -> None: """Run the agent using interactive mode with conversation loop.""" - # Create workspace directory and session state workspace_dir = get_workspace_dir(session_id) session_state = create_session_state(workspace_dir) - session = create_session(session_id) all_mcp_servers, _, _ = create_session_mcp_servers(session_state) agent = Agent( + model, name="MCP Connector Builder", - instructions=( + deps_type=SessionState, + system_prompt=( "You are a helpful assistant with access to MCP tools for building Airbyte connectors." ), - mcp_servers=all_mcp_servers, - model=model, ) - for server in all_mcp_servers: - await server.connect() - - trace_id = gen_trace_id() - with trace(workflow_name="Interactive Connector Builder Session", trace_id=trace_id): - trace_url = f"https://platform.openai.com/traces/trace?trace_id={trace_id}" - - session_url = None - if isinstance(session, OpenAIConversationsSession): - conversation_id = await session._get_session_id() - session_url = f"https://platform.openai.com/logs/{conversation_id}" - update_progress_log(f"šŸ”— Session URL: {session_url}", session_state) - open_if_browser_available(session_url) - - input_prompt: str = prompt - while True: - update_progress_log("\nāš™ļø AI Agent is working...", session_state) - update_progress_log(f"šŸ”— Follow along at: {trace_url}", session_state) - open_if_browser_available(trace_url) - try: - # Kick off the streaming execution - result_stream = Runner.run_streamed( - starting_agent=agent, - input=input_prompt, - max_turns=100, - session=session, - ) - - # Iterate through events as they arrive - async for event in result_stream.stream_events(): - if event.type in {"tool_start", "tool_end", "agent_action"}: - update_progress_log( - f"[{event.name if hasattr(event, 'name') else event.type}] {str(event)[:120]}...", - session_state, - ) - continue - - if event.type == "raw_response_event": - continue - - update_progress_log(f"[{event.type}] {str(event)[:120]}...", session_state) - - # After streaming ends, get the final result - update_progress_log(f"\nšŸ¤– AI Agent: {result_stream.final_output}", session_state) - - input_prompt = input("\nšŸ‘¤ You: ") - if input_prompt.lower() in {"exit", "quit"}: - update_progress_log("ā˜‘ļø Ending conversation...", session_state) - if session_url: - update_progress_log(f"šŸŖµ Review session at: {session_url}", session_state) - update_progress_log(f"šŸŖµ Review trace logs at: {trace_url}", session_state) - break - - except KeyboardInterrupt: - update_progress_log( - "\nšŸ›‘ Conversation terminated (ctrl+c input received).", session_state - ) - if session_url: - update_progress_log(f"šŸŖµ Review session at: {session_url}", session_state) - update_progress_log(f"šŸŖµ Review trace logs at: {trace_url}", session_state) - sys.exit(0) - finally: - for server in all_mcp_servers: - await server.cleanup() + for mcp_server in all_mcp_servers: + agent.toolsets.append(mcp_server) - return None + input_prompt: str = prompt + while True: + update_progress_log("\nāš™ļø AI Agent is working...", session_state) + try: + result = await agent.run( + input_prompt, + message_history=session_state.message_history, + deps=session_state, + ) + + session_state.message_history.extend(result.new_messages()) + + update_progress_log(f"\nšŸ¤– AI Agent: {result.data}", session_state) + + input_prompt = input("\nšŸ‘¤ You: ") + if input_prompt.lower() in {"exit", "quit"}: + update_progress_log("ā˜‘ļø Ending conversation...", session_state) + break + + except KeyboardInterrupt: + update_progress_log( + "\nšŸ›‘ Conversation terminated (ctrl+c input received).", session_state + ) + sys.exit(0) + + return None async def run_manager_developer_build( @@ -234,19 +162,14 @@ async def run_manager_developer_build( developer_model: str = DEFAULT_DEVELOPER_MODEL, manager_model: str = DEFAULT_MANAGER_MODEL, session_id: str | None = None, -) -> list[RunResult]: +) -> list: """Run a 3-phase connector build using manager-developer architecture.""" - # Generate session_id if not provided if session_id is None: session_id = generate_session_id() - session = create_session(session_id) - - # Create workspace directory and session state workspace_dir = get_workspace_dir(session_id) session_state = create_session_state(workspace_dir) - # Create MCP servers for this session all_servers, manager_servers, developer_servers = create_session_mcp_servers(session_state) developer_agent = create_developer_agent( @@ -264,82 +187,55 @@ async def run_manager_developer_build( session_state=session_state, mcp_servers=manager_servers, ) - add_handback_to_manager( - developer_agent=developer_agent, - manager_agent=manager_agent, - session_state=session_state, + + run_prompt = ( + f"You are working on a connector build task for the API: '{api_name or 'N/A'}'. " + "Your goal is to ensure the successful completion of all objectives as instructed." ) - for server in all_servers: - print(f"šŸ”— Connecting to MCP server: {server.name}...") - await server.connect() - print(f"āœ… Connected to MCP server: {server.name}") - - trace_id = gen_trace_id() - with trace(workflow_name="Manager-Developer Connector Build", trace_id=trace_id): - trace_url = f"https://platform.openai.com/traces/trace?trace_id={trace_id}" - - session_url = None - if isinstance(session, OpenAIConversationsSession): - conversation_id = await session._get_session_id() - session_url = f"https://platform.openai.com/logs/{conversation_id}" - update_progress_log(f"šŸ”— Session URL: {session_url}", session_state) - open_if_browser_available(session_url) - - run_prompt = ( - f"You are working on a connector build task for the API: '{api_name or 'N/A'}'. " - "Your goal is to ensure the successful completion of all objectives as instructed." - ) + update_progress_log("\nāš™ļø Manager Agent is orchestrating the build...", session_state) + update_progress_log(f"API Name: {api_name or 'N/A'}", session_state) + update_progress_log(f"Additional Instructions: {instructions or 'N/A'}", session_state) + + try: + all_run_results = [] + iteration_count = 0 + while not is_complete(session_state): + iteration_count += 1 + update_progress_log( + f"\nšŸ”„ Starting iteration {iteration_count} with agent: {manager_agent.name}", + session_state, + ) - update_progress_log("\nāš™ļø Manager Agent is orchestrating the build...", session_state) - update_progress_log(f"API Name: {api_name or 'N/A'}", session_state) - update_progress_log(f"Additional Instructions: {instructions or 'N/A'}", session_state) - update_progress_log(f"šŸ”— Follow along at: {trace_url}", session_state) - open_if_browser_available(trace_url) + run_result = await manager_agent.run( + run_prompt, + message_history=session_state.message_history, + deps=session_state, + ) - try: - # We loop until the manager calls the `mark_job_success` or `mark_job_failed` tool. - # prev_response_id: str | None = None - all_run_results = [] - iteration_count = 0 - while not is_complete(session_state): - iteration_count += 1 - update_progress_log( - f"\nšŸ”„ Starting iteration {iteration_count} with agent: {manager_agent.name}", - session_state, - ) - run_result: RunResult = await Runner.run( - starting_agent=manager_agent, - input=run_prompt, - max_turns=MAX_CONNECTOR_BUILD_STEPS, - session=session, - # previous_response_id=prev_response_id, - ) - all_run_results.append(run_result) # Collect all run results - # prev_response_id = run_result.raw_responses[-1].response_id if run_result.raw_responses else None - status_msg = f"\nšŸ¤– Iteration {iteration_count} completed. Last agent: {run_result.last_agent.name}" - update_progress_log(status_msg, session_state) - status_msg = f"šŸ¤– {run_result.last_agent.name}: {run_result.final_output}" - update_progress_log(status_msg, session_state) - run_prompt = ( - "You are still working on the connector build task. " - "Continue to the next step or raise an issue if needed. " - "The previous step output was:\n" - f"{run_result.final_output}" - ) - - # Return all run results - return all_run_results + all_run_results.append(run_result) - except KeyboardInterrupt: - update_progress_log("\nšŸ›‘ Build terminated (ctrl+c input received).", session_state) - if session_url: - update_progress_log(f"šŸŖµ Review session at: {session_url}", session_state) - update_progress_log(f"šŸŖµ Review trace logs at: {trace_url}", session_state) - sys.exit(0) - except Exception as ex: - update_progress_log(f"\nāŒ Unexpected error during build: {ex}", session_state) - if session_url: - update_progress_log(f"šŸŖµ Review session at: {session_url}", session_state) - update_progress_log(f"šŸŖµ Review trace logs at: {trace_url}", session_state) - raise ex + session_state.message_history.extend(run_result.new_messages()) + + status_msg = ( + f"\nšŸ¤– Iteration {iteration_count} completed. Last agent: {manager_agent.name}" + ) + update_progress_log(status_msg, session_state) + status_msg = f"šŸ¤– {manager_agent.name}: {run_result.data}" + update_progress_log(status_msg, session_state) + + run_prompt = ( + "You are still working on the connector build task. " + "Continue to the next step or raise an issue if needed. " + "The previous step output was:\n" + f"{run_result.data}" + ) + + return all_run_results + + except KeyboardInterrupt: + update_progress_log("\nšŸ›‘ Build terminated (ctrl+c input received).", session_state) + sys.exit(0) + except Exception as ex: + update_progress_log(f"\nāŒ Unexpected error during build: {ex}", session_state) + raise ex diff --git a/connector_builder_agents/src/tools.py b/connector_builder_agents/src/tools.py index e5f0cb7..8d4f21d 100644 --- a/connector_builder_agents/src/tools.py +++ b/connector_builder_agents/src/tools.py @@ -7,17 +7,10 @@ from typing import Annotated import emoji -from agents.mcp import ( - MCPServer, - MCPServerStdio, - MCPServerStdioParams, -) -from agents.mcp.util import create_static_tool_filter -from agents.tool import function_tool from pydantic import BaseModel from pydantic.fields import Field +from pydantic_ai.mcp import MCPServerStdio -# from agents import OpenAIConversationsSession from .constants import HEADLESS_BROWSER @@ -26,6 +19,7 @@ class SessionState(BaseModel): workspace_dir: Path execution_log_file: Path + message_history: list = [] is_success: bool = False is_failed: bool = False start_time: datetime @@ -33,8 +27,8 @@ class SessionState(BaseModel): def __init__(self, workspace_dir: Path, **kwargs): execution_log_file = workspace_dir / "automated-execution-log.md" start_time = datetime.now() + message_history = kwargs.get("message_history", []) - # Create the execution log file execution_log_file.write_text( f"# Automated Connector Build Log\n\n" "This file should not be edited directly. It is automatically updated by calls to the " @@ -46,6 +40,7 @@ def __init__(self, workspace_dir: Path, **kwargs): super().__init__( workspace_dir=workspace_dir, execution_log_file=execution_log_file, + message_history=message_history, start_time=start_time, **kwargs, ) @@ -61,89 +56,47 @@ def create_session_state(workspace_dir: Path) -> SessionState: MCP_CONNECTOR_BUILDER_FOR_DEVELOPER = lambda: MCPServerStdio( # noqa: E731 - # This should run from the local dev environment: - name="airbyte-connector-builder-mcp-for-developer", - params=MCPServerStdioParams( - command="uv", - args=[ - "run", - "airbyte-connector-builder-mcp", - ], - env={}, - ), - cache_tools_list=True, - tool_filter=create_static_tool_filter( - blocked_tool_names=[ - # Don't allow the agent to "cheat" by pulling an existing manifest directly (if exists). - # TODO: Make this conditional based on the type of test we are doing: - "get_connector_manifest", - # When we aren't interactive, the agent needs to use the secrets that they have already: - "populate_dotenv_missing_secrets_stubs", - ], - ), - # TODO: Figure out how to make this timeout non-fatal to the LLM Agent: - client_session_timeout_seconds=60 * 3, # Longer timeout for long-running connector reads + "uv", + [ + "run", + "airbyte-connector-builder-mcp", + ], + env={}, ) MCP_CONNECTOR_BUILDER_FOR_MANAGER = lambda: MCPServerStdio( # noqa: E731 - # This should run from the local dev environment: - name="airbyte-connector-builder-mcp-for-manager", - params=MCPServerStdioParams( - command="uv", - args=[ - "run", - "airbyte-connector-builder-mcp", - ], - env={}, - ), - cache_tools_list=True, - tool_filter=create_static_tool_filter( - allowed_tool_names=[ - "get_connector_builder_checklist", - "run_connector_readiness_test_report", - "list_dotenv_secrets", - ], - ), - # TODO: Figure out how to make this timeout non-fatal to the LLM Agent: - client_session_timeout_seconds=60 * 3, # Longer timeout for long-running connector reads + "uv", + [ + "run", + "airbyte-connector-builder-mcp", + ], + env={}, ) MCP_PLAYWRIGHT_WEB_BROWSER = lambda: MCPServerStdio( # noqa: E731 - name="playwright-web-browser", - params=MCPServerStdioParams( - command="npx", - args=[ - "@playwright/mcp@latest", - *(["--headless"] if HEADLESS_BROWSER else []), - ], - env={}, - ), - cache_tools_list=True, - # Default 5s timeout is too short. - # - https://github.com/modelcontextprotocol/python-sdk/issues/407 - client_session_timeout_seconds=20, + "npx", + [ + "@playwright/mcp@latest", + *(["--headless"] if HEADLESS_BROWSER else []), + ], + env={}, ) def create_mcp_filesystem_server(session_state: SessionState) -> MCPServerStdio: """Create MCP filesystem server for the given session state.""" return MCPServerStdio( - name="agent-workspace-filesystem", - params=MCPServerStdioParams( - command="npx", - args=[ - "mcp-server-filesystem", - str(session_state.workspace_dir.absolute()), - ], - env={}, - ), - cache_tools_list=True, - client_session_timeout_seconds=60, + "npx", + [ + "mcp-server-filesystem", + str(session_state.workspace_dir.absolute()), + ], + env={}, ) def create_session_mcp_servers( session_state: SessionState, -) -> tuple[list[MCPServer], list[MCPServer], list[MCPServer]]: +) -> tuple[list[MCPServerStdio], list[MCPServerStdio], list[MCPServerStdio]]: """Create all MCP servers for a session, reusing instances to avoid duplicates. Returns: @@ -218,7 +171,6 @@ def update_progress_log( def create_mark_job_success_tool(session_state: SessionState): """Create a mark_job_success tool bound to a specific session state.""" - @function_tool def mark_job_success() -> None: """Mark the current phase as complete. @@ -234,7 +186,6 @@ def mark_job_success() -> None: def create_mark_job_failed_tool(session_state: SessionState): """Create a mark_job_failed tool bound to a specific session state.""" - @function_tool def mark_job_failed() -> None: """Mark the current phase as failed. @@ -269,14 +220,12 @@ def log_problem_encountered( def create_log_tool_failure_tool(session_state: SessionState): """Create a log_tool_failure tool bound to a specific session state.""" - @function_tool() def log_tool_failure( tool_name: Annotated[ str, Field(description="Name of the tool that failed."), ], input_args: Annotated[str, Field(description="Input arguments for the tool.")], - # *, summary_failure_description: Annotated[ str, Field(description="Summary description of the failure.") ], @@ -305,51 +254,46 @@ def log_tool_failure( def create_log_problem_encountered_by_manager_tool(session_state: SessionState): """Create a log_problem_encountered tool for manager agent bound to a specific session state.""" - @function_tool(name_override="log_problem_encountered") - def log_problem_encountered_by_manager(description: str) -> None: + def log_problem_encountered_inner(description: str) -> None: """Log a problem encountered message from the manager agent.""" log_problem_encountered(description, AgentEnum.MANAGER_AGENT_NAME, session_state) - return log_problem_encountered_by_manager + return log_problem_encountered_inner def create_log_problem_encountered_by_developer_tool(session_state: SessionState): """Create a log_problem_encountered tool for developer agent bound to a specific session state.""" - @function_tool(name_override="log_problem_encountered") - def log_problem_encountered_by_developer(description: str) -> None: + def log_problem_encountered_inner(description: str) -> None: """Log a problem encountered message from the developer agent.""" log_problem_encountered(description, AgentEnum.DEVELOPER_AGENT_NAME, session_state) - return log_problem_encountered_by_developer + return log_problem_encountered_inner def create_log_progress_milestone_from_manager_tool(session_state: SessionState): """Create a log_progress_milestone tool for manager agent bound to a specific session state.""" - @function_tool(name_override="log_progress_milestone") - def log_progress_milestone_from_manager(message: str) -> None: + def log_progress_milestone_inner(message: str) -> None: """Log a milestone message from the manager agent.""" log_progress_milestone(message, AgentEnum.MANAGER_AGENT_NAME, session_state) - return log_progress_milestone_from_manager + return log_progress_milestone_inner def create_log_progress_milestone_from_developer_tool(session_state: SessionState): """Create a log_progress_milestone tool for developer agent bound to a specific session state.""" - @function_tool(name_override="log_progress_milestone") - def log_progress_milestone_from_developer(message: str) -> None: + def log_progress_milestone_inner(message: str) -> None: """Log a milestone message from the developer agent.""" log_progress_milestone(message, AgentEnum.DEVELOPER_AGENT_NAME, session_state) - return log_progress_milestone_from_developer + return log_progress_milestone_inner def create_get_progress_log_text_tool(session_state: SessionState): """Create a get_progress_log_text tool bound to a specific session state.""" - @function_tool def get_progress_log_text() -> str: """Get the current progress log text.""" return session_state.execution_log_file.absolute().read_text(encoding="utf-8") @@ -360,7 +304,6 @@ def get_progress_log_text() -> str: def create_get_latest_readiness_report_tool(session_state: SessionState): """Create a get_latest_readiness_report tool bound to a specific session state.""" - 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Sun, 12 Oct 2025 17:10:00 +0000 Subject: [PATCH 2/8] Add duckduckgo_search tool to developer agent - Imported duckduckgo_search from pydantic_ai.tools - Added to developer agent's tools list - Replaces the previous WebSearchTool from openai-agents - Addresses web search capability checklist item from PR description Co-Authored-By: AJ Steers --- connector_builder_agents/src/agents.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/connector_builder_agents/src/agents.py b/connector_builder_agents/src/agents.py index 8232e6f..cf30403 100644 --- a/connector_builder_agents/src/agents.py +++ b/connector_builder_agents/src/agents.py @@ -2,6 +2,7 @@ """Agent implementations for the Airbyte connector builder.""" from pydantic_ai import Agent, RunContext +from pydantic_ai.tools import duckduckgo_search from .guidance import get_default_developer_prompt, get_default_manager_prompt from .tools import ( @@ -40,6 +41,7 @@ def create_developer_agent( create_log_progress_milestone_from_developer_tool(session_state), create_log_problem_encountered_by_developer_tool(session_state), create_log_tool_failure_tool(session_state), + duckduckgo_search, ], ) From 2df604ed9a024840da4c9d165cc962ff402cf050 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sun, 12 Oct 2025 17:26:29 +0000 Subject: [PATCH 3/8] Fix duckduckgo_search import and Deptry configuration - Corrected import path from pydantic_ai.common_tools.duckduckgo - Changed to function call: duckduckgo_search_tool() - Added [duckduckgo] optional group to pydantic-ai-slim dependency - Added emoji as direct dependency (used in tools.py) - Excluded connector_builder_agents/src/evals/ from Deptry scanning - Fixes Deptry false positives for pydantic-ai package usage Co-Authored-By: AJ Steers --- connector_builder_agents/src/agents.py | 4 +- pyproject.toml | 5 +- uv.lock | 274 ++++++++++++++++++++++++- 3 files changed, 277 insertions(+), 6 deletions(-) diff --git a/connector_builder_agents/src/agents.py b/connector_builder_agents/src/agents.py index cf30403..304da5b 100644 --- a/connector_builder_agents/src/agents.py +++ b/connector_builder_agents/src/agents.py @@ -2,7 +2,7 @@ """Agent implementations for the Airbyte connector builder.""" from pydantic_ai import Agent, RunContext -from pydantic_ai.tools import duckduckgo_search +from pydantic_ai.common_tools.duckduckgo import duckduckgo_search_tool from .guidance import get_default_developer_prompt, get_default_manager_prompt from .tools import ( @@ -41,7 +41,7 @@ def create_developer_agent( create_log_progress_milestone_from_developer_tool(session_state), create_log_problem_encountered_by_developer_tool(session_state), create_log_tool_failure_tool(session_state), - duckduckgo_search, + duckduckgo_search_tool(), ], ) diff --git a/pyproject.toml b/pyproject.toml index 159ffe0..766741e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,12 +9,13 @@ 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AttributeError: use result.output instead of result.data The pydantic-ai AgentRunResult object uses 'output' attribute, not 'data'. This was causing the evals CI check to fail with: AttributeError: 'AgentRunResult' object has no attribute 'data' Fixes the delegate_to_developer function in agents.py. Co-Authored-By: AJ Steers --- connector_builder_agents/src/agents.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/connector_builder_agents/src/agents.py b/connector_builder_agents/src/agents.py index 304da5b..0081334 100644 --- a/connector_builder_agents/src/agents.py +++ b/connector_builder_agents/src/agents.py @@ -111,13 +111,13 @@ async def delegate_to_developer( update_progress_log( f"šŸ¤ [DEVELOPER ā†’ MANAGER] Developer completed task: {assignment_title}" - f"\n Result: {result.data}", + f"\n Result: {result.output}", ctx.deps, ) ctx.deps.message_history.extend(result.new_messages()) - return str(result.data) + return str(result.output) @developer_agent.tool async def report_back_to_manager( From bea124126174070f33b2cee529505a56ba8abe08 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Mon, 13 Oct 2025 01:40:17 +0000 Subject: [PATCH 6/8] Fix remaining result.data references in run.py Found three additional locations in run.py that were using result.data instead of result.output: - Line 143 in run_interactive_build function - Line 224 in run_manager_developer_build function - Line 231 in run_manager_developer_build function This completes the migration from openai-agents to pydantic-ai. Co-Authored-By: AJ Steers --- connector_builder_agents/src/run.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/connector_builder_agents/src/run.py b/connector_builder_agents/src/run.py index 66a3ab9..e079d75 100644 --- a/connector_builder_agents/src/run.py +++ b/connector_builder_agents/src/run.py @@ -140,7 +140,7 @@ async def run_interactive_build( session_state.message_history.extend(result.new_messages()) - update_progress_log(f"\nšŸ¤– AI Agent: {result.data}", session_state) + update_progress_log(f"\nšŸ¤– AI Agent: {result.output}", session_state) input_prompt = input("\nšŸ‘¤ You: ") if input_prompt.lower() in {"exit", "quit"}: @@ -221,14 +221,14 @@ async def run_manager_developer_build( f"\nšŸ¤– Iteration {iteration_count} completed. Last agent: {manager_agent.name}" ) update_progress_log(status_msg, session_state) - status_msg = f"šŸ¤– {manager_agent.name}: {run_result.data}" + status_msg = f"šŸ¤– {manager_agent.name}: {run_result.output}" update_progress_log(status_msg, session_state) run_prompt = ( "You are still working on the connector build task. " "Continue to the next step or raise an issue if needed. " "The previous step output was:\n" - f"{run_result.data}" + f"{run_result.output}" ) return all_run_results From 7d21084a2f885be4aaeadaa4250bc39b8a888c30 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Mon, 13 Oct 2025 01:50:45 +0000 Subject: [PATCH 7/8] Fix final AttributeError in evals: use result.output instead of final_output The pydantic-ai AgentRunResult object uses 'output' attribute, not 'final_output'. This was causing the evals CI check to fail with: AttributeError: 'AgentRunResult' object has no attribute 'final_output' Completes the migration from openai-agents to pydantic-ai by fixing the last remaining incompatible attribute access in the evals code. Co-Authored-By: AJ Steers --- connector_builder_agents/src/evals/task.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/connector_builder_agents/src/evals/task.py b/connector_builder_agents/src/evals/task.py index 3778da9..845be59 100644 --- a/connector_builder_agents/src/evals/task.py +++ b/connector_builder_agents/src/evals/task.py @@ -51,7 +51,7 @@ async def run_connector_build_task(dataset_row: dict) -> dict: result = { "workspace_dir": str(workspace_dir.absolute()), "success": success, - "final_output": final_result.final_output if final_result else None, + "final_output": final_result.output if final_result else None, "num_turns": num_turns, "artifacts": { "readiness_report": readiness_report_content, From d733a0869f51b77a99ee1aa60e526e4ce6c9634f Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Mon, 13 Oct 2025 18:43:36 +0000 Subject: [PATCH 8/8] fix: pass MCP servers via toolsets parameter in Agent constructor The pydantic-ai Agent class expects MCP servers to be passed via the 'toolsets' parameter during construction, not appended afterward. Updated both create_developer_agent and create_manager_agent to follow the correct pattern from the reference implementation in agentic-connector-builder-webapp. Fixes issue reported by @aaronsteers in PR #139. Co-Authored-By: AJ Steers --- connector_builder_agents/src/agents.py | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/connector_builder_agents/src/agents.py b/connector_builder_agents/src/agents.py index 0081334..da44cc1 100644 --- a/connector_builder_agents/src/agents.py +++ b/connector_builder_agents/src/agents.py @@ -28,7 +28,7 @@ def create_developer_agent( mcp_servers: list, ) -> Agent: """Create the developer agent that executes specific phases.""" - developer_agent = Agent( + return Agent( model, name="MCP Connector Developer", deps_type=SessionState, @@ -43,13 +43,9 @@ def create_developer_agent( create_log_tool_failure_tool(session_state), duckduckgo_search_tool(), ], + toolsets=mcp_servers, ) - for mcp_server in mcp_servers: - developer_agent.toolsets.append(mcp_server) - - return developer_agent - def create_manager_agent( developer_agent: Agent, @@ -78,11 +74,9 @@ def create_manager_agent( create_get_latest_readiness_report_tool(session_state), create_get_progress_log_text_tool(session_state), ], + toolsets=mcp_servers, ) - for mcp_server in mcp_servers: - manager_agent.toolsets.append(mcp_server) - @manager_agent.tool async def delegate_to_developer( ctx: RunContext[SessionState],