49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
from typing import Any, Optional
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from langchain_anthropic import ChatAnthropic
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from .base_client import BaseLLMClient, normalize_content
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from .validators import validate_model
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_PASSTHROUGH_KWARGS = (
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"timeout", "max_retries", "api_key", "max_tokens",
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"callbacks", "http_client", "http_async_client", "effort",
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)
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class NormalizedChatAnthropic(ChatAnthropic):
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"""ChatAnthropic with normalized content output.
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Claude models with extended thinking or tool use return content as a
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list of typed blocks. This normalizes to string for consistent
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downstream handling.
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"""
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def invoke(self, input, config=None, **kwargs):
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return normalize_content(super().invoke(input, config, **kwargs))
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class AnthropicClient(BaseLLMClient):
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"""Client for Anthropic Claude models."""
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def __init__(self, model: str, base_url: Optional[str] = None, **kwargs):
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super().__init__(model, base_url, **kwargs)
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def get_llm(self) -> Any:
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"""Return configured ChatAnthropic instance."""
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self.warn_if_unknown_model()
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llm_kwargs = {"model": self.model}
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if self.base_url:
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llm_kwargs["base_url"] = self.base_url
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for key in _PASSTHROUGH_KWARGS:
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if key in self.kwargs:
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llm_kwargs[key] = self.kwargs[key]
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return NormalizedChatAnthropic(**llm_kwargs)
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def validate_model(self) -> bool:
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"""Validate model for Anthropic."""
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return validate_model("anthropic", self.model)
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