34 lines
1.0 KiB
Python
34 lines
1.0 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
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from .validators import validate_model
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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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llm_kwargs = {
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"model": self.model,
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"max_tokens": self.kwargs.get("max_tokens", 4096),
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}
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for key in ("timeout", "max_retries", "api_key"):
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if key in self.kwargs:
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llm_kwargs[key] = self.kwargs[key]
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if "thinking_config" in self.kwargs:
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llm_kwargs["thinking"] = self.kwargs["thinking_config"]
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return ChatAnthropic(**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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