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28 lines
957 B
Python
28 lines
957 B
Python
"""Define the configurable parameters for the agent."""
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from __future__ import annotations
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from dataclasses import dataclass, fields
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from langchain_core.runnables import RunnableConfig
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@dataclass(kw_only=True)
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class Configuration:
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"""The configuration for the agent."""
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# Changeme: Add configurable values here!
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# these values can be pre-set when you
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# create assistants (https://langchain-ai.github.io/langgraph/cloud/how-tos/configuration_cloud/)
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# and when you invoke the graph
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podcast_title: str
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user_id: str
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@classmethod
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def from_runnable_config(
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cls, config: RunnableConfig | None = None
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) -> Configuration:
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"""Create a Configuration instance from a RunnableConfig object."""
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configurable = (config.get("configurable") or {}) if config else {}
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_fields = {f.name for f in fields(cls) if f.init}
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return cls(**{k: v for k, v in configurable.items() if k in _fields})
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