chore: delete legacy bedrock client (#3912)

letta/llm_api/aws_bedrock.py

@@ -1,90 +0,0 @@
-"""
-Note that this formally only supports Anthropic Bedrock.
-TODO (cliandy): determine what other providers are supported and what is needed to add support.
-"""
-
-from typing import Any, Optional
-
-from anthropic import AnthropicBedrock
-
-from letta.log import get_logger
-from letta.settings import model_settings
-
-logger = get_logger(__name__)
-
-
-def get_bedrock_client(
-    access_key_id: Optional[str] = None,
-    secret_key: Optional[str] = None,
-    default_region: Optional[str] = None,
-):
-    """
-    Get a Bedrock client
-    """
-    import boto3
-
-    sts_client = boto3.client(
-        "sts",
-        aws_access_key_id=access_key_id or model_settings.aws_access_key_id,
-        aws_secret_access_key=secret_key or model_settings.aws_secret_access_key,
-        region_name=default_region or model_settings.aws_default_region,
-    )
-    credentials = sts_client.get_session_token()["Credentials"]
-
-    bedrock = AnthropicBedrock(
-        aws_access_key=credentials["AccessKeyId"],
-        aws_secret_key=credentials["SecretAccessKey"],
-        aws_session_token=credentials["SessionToken"],
-        aws_region=default_region or model_settings.aws_default_region,
-    )
-    return bedrock
-
-
-async def bedrock_get_model_list_async(
-    access_key_id: Optional[str] = None,
-    secret_access_key: Optional[str] = None,
-    default_region: Optional[str] = None,
-) -> list[dict]:
-    from aioboto3.session import Session
-
-    try:
-        session = Session()
-        async with session.client(
-            "bedrock",
-            aws_access_key_id=access_key_id,
-            aws_secret_access_key=secret_access_key,
-            region_name=default_region,
-        ) as bedrock:
-            response = await bedrock.list_inference_profiles()
-            return response["inferenceProfileSummaries"]
-    except Exception as e:
-        logger.error(f"Error getting model list for bedrock: %s", e)
-        raise e
-
-
-def bedrock_get_model_details(region_name: str, model_id: str) -> dict[str, Any]:
-    """
-    Get details for a specific model from Bedrock.
-    """
-    import boto3
-    from botocore.exceptions import ClientError
-
-    try:
-        bedrock = boto3.client("bedrock", region_name=region_name)
-        response = bedrock.get_foundation_model(modelIdentifier=model_id)
-        return response["modelDetails"]
-    except ClientError as e:
-        logger.exception(f"Error getting model details: {str(e)}")
-        raise e
-
-
-def bedrock_get_model_context_window(model_id: str) -> int:
-    """
-    Get context window size for a specific model.
-    """
-    # Bedrock doesn't provide this via API, so we maintain a mapping
-    # 200k for anthropic: https://aws.amazon.com/bedrock/anthropic/
-    if model_id.startswith("anthropic"):
-        return 200_000
-    else:
-        return 100_000  # default to 100k if unknown