aiq.agent.react_agent.output_parser#
Attributes#
Exceptions#
Inappropriate argument value (of correct type). |
Classes#
Parses ReAct-style LLM calls that have a single tool input. |
Module Contents#
- FINAL_ANSWER_ACTION = 'Final Answer:'#
- MISSING_ACTION_AFTER_THOUGHT_ERROR_MESSAGE = "Invalid Format: Missing 'Action:' after 'Thought:'"#
- MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE = "Invalid Format: Missing 'Action Input:' after 'Action:'"#
- FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE = 'Parsing LLM output produced both a final answer and a parse-able action:'#
- exception ReActOutputParserException(
- observation=None,
- missing_action=False,
- missing_action_input=False,
- final_answer_and_action=False,
Bases:
ValueError,langchain_core.exceptions.LangChainExceptionInappropriate argument value (of correct type).
Initialize self. See help(type(self)) for accurate signature.
- observation = None#
- missing_action = False#
- missing_action_input = False#
- final_answer_and_action = False#
- class ReActOutputParser#
Bases:
langchain.agents.agent.AgentOutputParserParses ReAct-style LLM calls that have a single tool input.
Expects output to be in one of two formats.
If the output signals that an action should be taken, should be in the below format. This will result in an AgentAction being returned.
` Thought: agent thought here Action: search Action Input: what is the temperature in SF? Observation: Waiting for the tool response... `If the output signals that a final answer should be given, should be in the below format. This will result in an AgentFinish being returned.
` Thought: agent thought here Final Answer: The temperature is 100 degrees `