mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
b7708bbec6
conceptually, no reason a tool should know what an "agent action" is unless any objections, can change in all callback handlers
203 lines
6.1 KiB
Python
203 lines
6.1 KiB
Python
"""A fake callback handler for testing purposes."""
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from typing import Any, Dict, List, Union
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from pydantic import BaseModel
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from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler
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from langchain.schema import AgentAction, AgentFinish, LLMResult
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class BaseFakeCallbackHandler(BaseModel):
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"""Base fake callback handler for testing."""
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starts: int = 0
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ends: int = 0
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errors: int = 0
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text: int = 0
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ignore_llm_: bool = False
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ignore_chain_: bool = False
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ignore_agent_: bool = False
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always_verbose_: bool = False
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@property
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def always_verbose(self) -> bool:
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"""Whether to call verbose callbacks even if verbose is False."""
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return self.always_verbose_
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@property
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def ignore_llm(self) -> bool:
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"""Whether to ignore LLM callbacks."""
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return self.ignore_llm_
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@property
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def ignore_chain(self) -> bool:
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"""Whether to ignore chain callbacks."""
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return self.ignore_chain_
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@property
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def ignore_agent(self) -> bool:
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"""Whether to ignore agent callbacks."""
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return self.ignore_agent_
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# add finer-grained counters for easier debugging of failing tests
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chain_starts: int = 0
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chain_ends: int = 0
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llm_starts: int = 0
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llm_ends: int = 0
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llm_streams: int = 0
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tool_starts: int = 0
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tool_ends: int = 0
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agent_ends: int = 0
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class FakeCallbackHandler(BaseFakeCallbackHandler, BaseCallbackHandler):
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"""Fake callback handler for testing."""
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def on_llm_start(
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self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
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) -> None:
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"""Run when LLM starts running."""
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self.llm_starts += 1
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self.starts += 1
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def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
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"""Run when LLM generates a new token."""
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self.llm_streams += 1
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def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
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"""Run when LLM ends running."""
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self.llm_ends += 1
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self.ends += 1
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def on_llm_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when LLM errors."""
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self.errors += 1
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def on_chain_start(
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self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
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) -> None:
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"""Run when chain starts running."""
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self.chain_starts += 1
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self.starts += 1
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def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
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"""Run when chain ends running."""
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self.chain_ends += 1
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self.ends += 1
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def on_chain_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when chain errors."""
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self.errors += 1
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def on_tool_start(
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self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
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) -> None:
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"""Run when tool starts running."""
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self.tool_starts += 1
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self.starts += 1
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def on_tool_end(self, output: str, **kwargs: Any) -> None:
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"""Run when tool ends running."""
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self.tool_ends += 1
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self.ends += 1
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def on_tool_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when tool errors."""
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self.errors += 1
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def on_text(self, text: str, **kwargs: Any) -> None:
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"""Run when agent is ending."""
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self.text += 1
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def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> None:
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"""Run when agent ends running."""
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self.agent_ends += 1
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self.ends += 1
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def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
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"""Run on agent action."""
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self.tool_starts += 1
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self.starts += 1
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class FakeAsyncCallbackHandler(BaseFakeCallbackHandler, AsyncCallbackHandler):
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"""Fake async callback handler for testing."""
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async def on_llm_start(
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self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
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) -> None:
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"""Run when LLM starts running."""
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self.llm_starts += 1
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self.starts += 1
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async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
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"""Run when LLM generates a new token."""
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self.llm_streams += 1
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async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
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"""Run when LLM ends running."""
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self.llm_ends += 1
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self.ends += 1
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async def on_llm_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when LLM errors."""
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self.errors += 1
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async def on_chain_start(
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self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
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) -> None:
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"""Run when chain starts running."""
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self.chain_starts += 1
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self.starts += 1
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async def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
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"""Run when chain ends running."""
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self.chain_ends += 1
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self.ends += 1
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async def on_chain_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when chain errors."""
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self.errors += 1
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async def on_tool_start(
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self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
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) -> None:
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"""Run when tool starts running."""
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self.tool_starts += 1
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self.starts += 1
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async def on_tool_end(self, output: str, **kwargs: Any) -> None:
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"""Run when tool ends running."""
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self.tool_ends += 1
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self.ends += 1
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async def on_tool_error(
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self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
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) -> None:
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"""Run when tool errors."""
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self.errors += 1
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async def on_text(self, text: str, **kwargs: Any) -> None:
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"""Run when agent is ending."""
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self.text += 1
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async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> None:
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"""Run when agent ends running."""
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self.agent_ends += 1
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self.ends += 1
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async def on_agent_action(self, action: AgentAction, **kwargs: Any) -> None:
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"""Run on agent action."""
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self.tool_starts += 1
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self.starts += 1
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