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65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
"""Callback Handler streams to stdout on new llm token."""
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import sys
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from typing import Any, Dict, List, Union
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from langchain.callbacks.base import BaseCallbackHandler
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from langchain.schema import AgentAction, AgentFinish, LLMResult
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class StreamingStdOutCallbackHandler(BaseCallbackHandler):
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"""Callback handler for streaming. Only works with LLMs that support streaming."""
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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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def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
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"""Run on new LLM token. Only available when streaming is enabled."""
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sys.stdout.write(token)
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sys.stdout.flush()
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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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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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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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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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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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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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def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
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"""Run on agent action."""
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pass
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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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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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def on_text(self, text: str, **kwargs: Any) -> None:
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"""Run on arbitrary text."""
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def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> None:
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"""Run on agent end."""
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