diff --git a/patchwork/common/client/llm/utils.py b/patchwork/common/client/llm/utils.py index afb06dff..f40c629e 100644 --- a/patchwork/common/client/llm/utils.py +++ b/patchwork/common/client/llm/utils.py @@ -60,12 +60,7 @@ def example_json_to_schema(json_example: str | dict | None) -> ResponseFormat | if json_example is None: return None - base_model = None - if isinstance(json_example, str): - base_model = __example_string_to_base_model(json_example) - elif isinstance(json_example, dict): - base_model = __example_dict_to_base_model(json_example) - + base_model = example_json_to_base_model(json_example) if base_model is None: return None @@ -76,25 +71,38 @@ def base_model_to_schema(base_model: Type[BaseModel]) -> ResponseFormat: return type_to_response_format_param(base_model) -def __example_string_to_base_model(json_example: str) -> Type[BaseModel] | None: +def example_json_to_base_model(json_example: str | dict | None) -> Type[BaseModel] | None: + if json_example is None: + return None + + base_model = None + if isinstance(json_example, str): + base_model = example_string_to_base_model(json_example) + elif isinstance(json_example, dict): + base_model = example_dict_to_base_model(json_example) + + return base_model + + +def example_string_to_base_model(json_example: str) -> Type[BaseModel] | None: try: example_data = json.loads(json_example) except Exception as e: logger.error(f"Failed to parse example json", e) return None - return __example_dict_to_base_model(example_data) + return example_dict_to_base_model(example_data) -def __example_dict_to_base_model(example_data: dict) -> Type[BaseModel]: +def example_dict_to_base_model(example_data: dict) -> Type[BaseModel]: base_model_field_defs: dict[str, tuple[type | BaseModel, Field]] = dict() for example_data_key, example_data_value in example_data.items(): if isinstance(example_data_value, dict): - value_typing = __example_dict_to_base_model(example_data_value) + value_typing = example_dict_to_base_model(example_data_value) elif isinstance(example_data_value, list): nested_value = example_data_value[0] if isinstance(nested_value, dict): - nested_typing = __example_dict_to_base_model(nested_value) + nested_typing = example_dict_to_base_model(nested_value) else: nested_typing = type(nested_value) value_typing = List[nested_typing] diff --git a/patchwork/common/multiturn_strategy/agentic_strategy.py b/patchwork/common/multiturn_strategy/agentic_strategy.py index b86fe1fe..06efb96b 100644 --- a/patchwork/common/multiturn_strategy/agentic_strategy.py +++ b/patchwork/common/multiturn_strategy/agentic_strategy.py @@ -8,12 +8,17 @@ import sys from json import JSONDecodeError from pathlib import Path +from typing import Union, Any import chevron from openai.types.chat import ChatCompletionMessageParam from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam +from pydantic_ai import Agent +from pydantic_ai.models.anthropic import AnthropicModel +from pydantic import BaseModel from patchwork.common.client.llm.protocol import LlmClient +from patchwork.common.client.llm.utils import example_string_to_base_model, example_json_to_base_model from patchwork.common.tools import CodeEditTool, Tool from patchwork.common.tools.agentic_tools import EndTool @@ -106,22 +111,46 @@ def __init__(self, llm_client: LlmClient, tool_set: dict[str, Tool], system_prom self.history.append(dict(role="system", content=system_prompt)) + + +class AgentConfig(BaseModel): + name: str + tool_set: dict[str, Tool] + system_prompt: str = '' + + class AgenticStrategy: def __init__( self, - llm_client: LlmClient, - tool_set: dict[str, Tool], + api_key: str, template_data: dict[str, str], system_prompt_template: str, user_prompt_template: str, + agent_configs: list[AgentConfig], + example_json: Union[str, dict[str, Any]] = '{"output":"output text"}', *args, **kwargs, ): - self.tool_set = dict(end=EndTool(), **tool_set) self.__template_data = template_data self.__user_prompt_template = user_prompt_template - self.__assistant_role = Assistant(llm_client, self.tool_set, self.__render_prompt(system_prompt_template)) - self.__user_role = UserProxy(llm_client, dict()) + model = AnthropicModel("claude-3-5-sonnet-latest", api_key=api_key) + self.__user_role = Agent( + model, + system_prompt=self.__render_prompt(system_prompt_template), + result_type=example_json_to_base_model(example_json), + ) + self.__assistants = [] + for assistant_config in agent_configs: + tools = [] + for tool in assistant_config.tool_set.values(): + tools.append(tool.to_pydantic_ai_function_tool()) + assistant = Agent( + "claude-3-5-sonnet-latest", + system_prompt=self.__render_prompt(assistant_config.system_prompt), + tools=tools + ) + + self.__assistants.append(assistant) def __render_prompt(self, prompt_template: str) -> str: chevron.render.__globals__["_html_escape"] = lambda x: x @@ -133,9 +162,6 @@ def __render_prompt(self, prompt_template: str) -> str: partials_dict=dict(), ) - def __get_initial_prompt(self) -> list[ChatCompletionMessageParam]: - return [dict(role="user", content=self.__render_prompt(self.__user_prompt_template))] - def __is_session_completed(self) -> bool: for message in reversed(self.__assistant_role.history): if message.get("tool") is not None: @@ -149,9 +175,10 @@ def execute(self, limit: int | None = None) -> None: message = self.__render_prompt(self.__user_prompt_template) try: for i in range(limit or self.__limit or sys.maxsize): + self.__user_role.run_sync(self.__user_prompt_template) self.run_count = i + 1 - for role in [self.__assistant_role, self.__user_role]: - message = role.generate_reply(message) + for role in [*self.__assistants, self.__user_role]: + message = role.run_sync(message) if self.__is_session_completed(): break except Exception as e: diff --git a/patchwork/common/tools/code_edit_tools.py b/patchwork/common/tools/code_edit_tools.py index 48c7701b..7dfc2c55 100644 --- a/patchwork/common/tools/code_edit_tools.py +++ b/patchwork/common/tools/code_edit_tools.py @@ -1,10 +1,14 @@ from __future__ import annotations +import os from pathlib import Path -from typing import Literal +from typing import Literal, Optional -from patchwork.common.tools.tool import Tool from patchwork.common.utils.utils import detect_newline +from pydantic import BaseModel +from pydantic_ai import Agent, RunContext +from pydantic_ai.models.test import TestModel +from pydantic_ai.tools import Tool, ToolDefinition class CodeEditTool(Tool, tool_name="code_edit_tool"): diff --git a/patchwork/common/tools/tool.py b/patchwork/common/tools/tool.py index f9011c14..d68c06b6 100644 --- a/patchwork/common/tools/tool.py +++ b/patchwork/common/tools/tool.py @@ -1,5 +1,6 @@ from abc import ABC, abstractmethod from typing import Type +from pydantic_ai.tools import ToolDefinition, Tool as PydanticTool, RunContext class Tool(ABC): @@ -42,3 +43,12 @@ def get_description(tooling: "ToolProtocol") -> str: @staticmethod def get_parameters(tooling: "ToolProtocol") -> str: return ", ".join(tooling.json_schema.get("required", [])) + + def to_pydantic_ai_function_tool(self) -> PydanticTool[None]: + async def _prep(ctx: RunContext[None], tool_def: ToolDefinition) -> ToolDefinition: + tool_def.name = self.name + tool_def.description = self.json_schema.get("description", "") + tool_def.parameters_json_schema = self.json_schema.get("input_schema", {}) + return tool_def + + return PydanticTool(self.execute, prepare=_prep) diff --git a/patchwork/patchflows/LogAnalysis/LogAnalysis.py b/patchwork/patchflows/LogAnalysis/LogAnalysis.py index 6d752d2a..98e6d5a3 100644 --- a/patchwork/patchflows/LogAnalysis/LogAnalysis.py +++ b/patchwork/patchflows/LogAnalysis/LogAnalysis.py @@ -1,26 +1,11 @@ -from enum import IntEnum from pathlib import Path import yaml from patchwork.common.utils.progress_bar import PatchflowProgressBar from patchwork.common.utils.step_typing import validate_steps_with_inputs -from patchwork.logger import logger from patchwork.step import Step -from patchwork.steps import ( - LLM, - PR, - CallLLM, - CommitChanges, - CreatePR, - ExtractCode, - ExtractModelResponse, - ModifyCode, - PreparePR, - PreparePrompt, - ScanSemgrep, - ScanSonar, CallSQL, AgenticLLM, -) +from patchwork.steps import AgenticLLM, CallSQL _DEFAULT_INPUT_FILE = Path(__file__).parent / "defaults.yml" diff --git a/patchwork/step.py b/patchwork/step.py index 62d81fde..1d5d3b35 100644 --- a/patchwork/step.py +++ b/patchwork/step.py @@ -73,8 +73,6 @@ def __init__(self, inputs: DataPoint): self.run = self.__managed_run def __init_subclass__(cls, input_class: Optional[Type] = None, output_class: Optional[Type] = None, **kwargs): - if cls.__name__ == "PreparePR": - print(1) input_class = input_class or getattr(cls, "input_class", None) if input_class is not None and not is_typeddict(input_class): input_class = None diff --git a/patchwork/steps/AgenticLLM/AgenticLLM.py b/patchwork/steps/AgenticLLM/AgenticLLM.py index 77bbc5a9..2d739c62 100644 --- a/patchwork/steps/AgenticLLM/AgenticLLM.py +++ b/patchwork/steps/AgenticLLM/AgenticLLM.py @@ -1,7 +1,7 @@ from pathlib import Path from patchwork.common.client.llm.aio import AioLlmClient -from patchwork.common.multiturn_strategy.agentic_strategy import AgenticStrategy +from patchwork.common.multiturn_strategy.agentic_strategy import AgenticStrategy, AgentConfig from patchwork.common.tools import Tool from patchwork.step import Step from patchwork.steps.AgenticLLM.typed import AgenticLLMInputs, AgenticLLMOutputs @@ -15,13 +15,16 @@ def __init__(self, inputs): base_path = str(Path.cwd()) self.conversation_limit = int(int(inputs.get("max_llm_calls", 2)) / 2) self.agentic_strategy = AgenticStrategy( - llm_client=AioLlmClient.create_aio_client(inputs), - tool_set=Tool.get_tools(path=base_path), + api_key=inputs.get("anthropic_api_key"), template_data=inputs.get("prompt_value"), - system_prompt_template=inputs.get("system_prompt"), + system_prompt_template="", user_prompt_template=inputs.get("user_prompt"), + agent_configs=[ + AgentConfig(name="", tool_set=Tool.get_tools(path=base_path), system_prompt=inputs.get("system_prompt")) + ] ) + def run(self) -> dict: self.agentic_strategy.execute(limit=self.conversation_limit) return dict( diff --git a/patchwork/steps/CallShell/CallShell.py b/patchwork/steps/CallShell/CallShell.py index f5f51d52..98ee55a7 100644 --- a/patchwork/steps/CallShell/CallShell.py +++ b/patchwork/steps/CallShell/CallShell.py @@ -8,7 +8,6 @@ from patchwork.common.utils.utils import mustache_render from patchwork.logger import logger from patchwork.step import Step, StepStatus -from patchwork.steps import CallSQL from patchwork.steps.CallShell.typed import CallShellInputs, CallShellOutputs diff --git a/poetry.lock b/poetry.lock index afcb0b86..7343b5b7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -497,24 +497,24 @@ redis = ["redis (>=2.10.5)"] 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