callback.py

from langchain.callbacks.base import BaseCallbackHandler
from pydantic import BaseModel
from typing import Any, Dict, List, Union
from langchain.schema import AgentAction, AgentFinish, LLMResult

class BaseMyCallbackHandler(BaseModel):
    """Base fake callback handler for testing."""

    starts: int = 0
    ends: int = 0
    errors: int = 0
    text: int = 0
    ignore_llm_: bool = False
    ignore_chain_: bool = False
    ignore_agent_: bool = False
    always_verbose_: bool = False

    @property
    def always_verbose(self) -> bool:
        """Whether to call verbose callbacks even if verbose is False."""
        return True

    @property
    def ignore_llm(self) -> bool:
        """Whether to ignore LLM callbacks."""
        return self.ignore_llm_

    @property
    def ignore_chain(self) -> bool:
        """Whether to ignore chain callbacks."""
        return self.ignore_chain_

    @property
    def ignore_agent(self) -> bool:
        """Whether to ignore agent callbacks."""
        return self.ignore_agent_

    # add finer-grained counters for easier debugging of failing tests
    chain_starts: int = 0
    chain_ends: int = 0
    llm_starts: int = 0
    llm_ends: int = 0
    llm_streams: int = 0
    tool_starts: int = 0
    tool_ends: int = 0
    agent_ends: int = 0

class MyCallbackHandler(BaseMyCallbackHandler, BaseCallbackHandler):
    """Fake callback handler for testing."""

    def on_llm_start(
        self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
    ) -> None:
        """Run when LLM starts running."""
        self.llm_starts += 1
        self.starts += 1
        print(prompts[0])

    def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
        """Run when LLM generates a new token."""
        self.llm_streams += 1

    def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
        """Run when LLM ends running."""
        print(response)
        self.llm_ends += 1
        self.ends += 1

    def on_llm_error(
        self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
    ) -> None:
        """Run when LLM errors."""
        self.errors += 1

    def on_chain_start(
        self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
    ) -> None:
        """Run when chain starts running."""
        self.chain_starts += 1
        self.starts += 1

    def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
        """Run when chain ends running."""
        self.chain_ends += 1
        self.ends += 1

    def on_chain_error(
        self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
    ) -> None:
        """Run when chain errors."""
        self.errors += 1

    def on_tool_start(
        self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
    ) -> None:
        """Run when tool starts running."""
        self.tool_starts += 1
        self.starts += 1

    def on_tool_end(self, output: str, **kwargs: Any) -> None:
        """Run when tool ends running."""
        self.tool_ends += 1
        self.ends += 1

    def on_tool_error(
        self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
    ) -> None:
        """Run when tool errors."""
        self.errors += 1

    def on_text(self, text: str, **kwargs: Any) -> None:
        """Run when agent is ending."""
        self.text += 1

    def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> None:
        """Run when agent ends running."""
        self.agent_ends += 1
        self.ends += 1

    def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
        """Run on agent action."""
        self.tool_starts += 1
        self.starts += 1