Files
tradingagents/tradingagents/llm_clients/azure_client.py
Yijia-Xiao 8a22594607 feat(config): expose sampling temperature and document reproducibility
Adds a cross-provider temperature config (and TRADINGAGENTS_TEMPERATURE),
forwarded to every LLM client when set, so runs can be made less variable
on models that honor it. Adds a README "Reproducibility" section that
separates the sources of run-to-run variation, what users can control
(temperature, non-reasoning model, pinned date), and what is inherent to
LLM-driven analysis, and notes that the identity and verified-data fixes
already removed the "different companies / fabricated prices" variance.

#178 #168
2026-05-31 03:51:50 +00:00

53 lines
1.6 KiB
Python

import os
from typing import Any, Optional
from langchain_openai import AzureChatOpenAI
from .base_client import BaseLLMClient, normalize_content
from .validators import validate_model
_PASSTHROUGH_KWARGS = (
"timeout", "max_retries", "api_key", "reasoning_effort", "temperature",
"callbacks", "http_client", "http_async_client",
)
class NormalizedAzureChatOpenAI(AzureChatOpenAI):
"""AzureChatOpenAI with normalized content output."""
def invoke(self, input, config=None, **kwargs):
return normalize_content(super().invoke(input, config, **kwargs))
class AzureOpenAIClient(BaseLLMClient):
"""Client for Azure OpenAI deployments.
Requires environment variables:
AZURE_OPENAI_API_KEY: API key
AZURE_OPENAI_ENDPOINT: Endpoint URL (e.g. https://<resource>.openai.azure.com/)
AZURE_OPENAI_DEPLOYMENT_NAME: Deployment name
OPENAI_API_VERSION: API version (e.g. 2025-03-01-preview)
"""
def __init__(self, model: str, base_url: Optional[str] = None, **kwargs):
super().__init__(model, base_url, **kwargs)
def get_llm(self) -> Any:
"""Return configured AzureChatOpenAI instance."""
self.warn_if_unknown_model()
llm_kwargs = {
"model": self.model,
"azure_deployment": os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", self.model),
}
for key in _PASSTHROUGH_KWARGS:
if key in self.kwargs:
llm_kwargs[key] = self.kwargs[key]
return NormalizedAzureChatOpenAI(**llm_kwargs)
def validate_model(self) -> bool:
"""Azure accepts any deployed model name."""
return True