Files
TradingAgents/tradingagents/llm_clients/anthropic_client.py
T
Yijia Xiao d4dadb82fc feat: add multi-provider LLM support with thinking configurations
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
2026-02-03 22:27:20 +00:00

28 lines
847 B
Python

from typing import Any, Optional
from langchain_anthropic import ChatAnthropic
from .base_client import BaseLLMClient
from .validators import validate_model
class AnthropicClient(BaseLLMClient):
"""Client for Anthropic Claude models."""
def __init__(self, model: str, base_url: Optional[str] = None, **kwargs):
super().__init__(model, base_url, **kwargs)
def get_llm(self) -> Any:
"""Return configured ChatAnthropic instance."""
llm_kwargs = {"model": self.model}
for key in ("timeout", "max_retries", "api_key", "max_tokens"):
if key in self.kwargs:
llm_kwargs[key] = self.kwargs[key]
return ChatAnthropic(**llm_kwargs)
def validate_model(self) -> bool:
"""Validate model for Anthropic."""
return validate_model("anthropic", self.model)