mirror of
https://github.com/farcasclaudiu/TradingAgents.git
synced 2026-06-22 09:01:24 +03:00
d4dadb82fc
Models added: - OpenAI: GPT-5.2, GPT-5.1, GPT-5, GPT-5 Mini, GPT-5 Nano, GPT-4.1 - Anthropic: Claude Opus 4.5/4.1, Claude Sonnet 4.5/4, Claude Haiku 4.5 - Google: Gemini 3 Pro/Flash, Gemini 2.5 Flash/Flash Lite - xAI: Grok 4, Grok 4.1 Fast (Reasoning/Non-Reasoning) Configs updated: - Add unified thinking_level for Gemini (maps to thinking_level for Gemini 3, thinking_budget for Gemini 2.5; handles Pro's lack of "minimal" support) - Add OpenAI reasoning_effort configuration - Add NormalizedChatGoogleGenerativeAI for consistent response handling Fixes: - Fix Bull/Bear researcher display truncation - Replace ChromaDB with BM25 for memory retrieval
28 lines
847 B
Python
28 lines
847 B
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 = {"model": self.model}
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for key in ("timeout", "max_retries", "api_key", "max_tokens"):
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if key in self.kwargs:
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llm_kwargs[key] = self.kwargs[key]
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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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