Files
tradingagents/tradingagents/llm_clients/factory.py
Yijia-Xiao 895ed130f9 feat(llm): add Amazon Bedrock as a first-class provider
Bedrock uses the Converse API (langchain-aws) and the AWS credential chain, so
it has its own client like Anthropic/Google rather than the OpenAI-compatible
registry. langchain-aws is an optional dependency (pip install ".[bedrock]"),
lazy-imported with a clear install hint; importing the package never requires
it. The model name is a Bedrock model ID / inference profile ID.
2026-06-14 04:24:54 +00:00

55 lines
1.8 KiB
Python

from typing import Optional
from .base_client import BaseLLMClient
def create_llm_client(
provider: str,
model: str,
base_url: Optional[str] = None,
**kwargs,
) -> BaseLLMClient:
"""Create an LLM client for the specified provider.
Provider modules are imported lazily so that simply importing this
factory (e.g. during test collection) does not pull in heavy LLM SDKs
or fail when their API keys are absent.
Args:
provider: LLM provider name
model: Model name/identifier
base_url: Optional base URL for API endpoint
**kwargs: Additional provider-specific arguments
Returns:
Configured BaseLLMClient instance
Raises:
ValueError: If provider is not supported
"""
provider_lower = provider.lower()
# Native (non-OpenAI) APIs are matched first so their string check doesn't
# import the OpenAI client. Everything else is OpenAI-compatible and routes
# through the provider registry (single source of truth).
if provider_lower == "anthropic":
from .anthropic_client import AnthropicClient
return AnthropicClient(model, base_url, **kwargs)
if provider_lower == "google":
from .google_client import GoogleClient
return GoogleClient(model, base_url, **kwargs)
if provider_lower == "azure":
from .azure_client import AzureOpenAIClient
return AzureOpenAIClient(model, base_url, **kwargs)
if provider_lower == "bedrock":
from .bedrock_client import BedrockClient
return BedrockClient(model, base_url, **kwargs)
from .openai_client import OpenAIClient, is_openai_compatible
if is_openai_compatible(provider_lower):
return OpenAIClient(model, base_url, provider=provider_lower, **kwargs)
raise ValueError(f"Unsupported LLM provider: {provider}")