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Refactor AWS Bedrock Claude Pipeline to support Instance Profile and Task Role

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- Updated `Valves` class to use `Optional[str]` for AWS credentials.
- Modified `__init__` method to initialize `valves` with environment variables.
- Added `update_pipelines` method to handle Bedrock client initialization and model fetching.
- Refactored `on_startup` and `on_valves_updated` methods to call `update_pipelines`.
- Improved error handling in `update_pipelines` and `get_models` methods.
This commit is contained in:
Takahiro Kikumoto 2025-03-18 16:33:44 +09:00
parent 51e267c10f
commit c1bbbe1165
1 changed files with 54 additions and 44 deletions
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98
examples/pipelines/providers/aws_bedrock_claude_pipeline.py
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@ -12,7 +12,7 @@ import base64
import json
import logging
from io import BytesIO
from typing import List, Union, Generator, Iterator
from typing import List, Union, Generator, Iterator, Optional, Any
import boto3
@ -26,9 +26,9 @@ from utils.pipelines.main import pop_system_message
class Pipeline:
class Valves(BaseModel):
AWS_ACCESS_KEY: str = ""
AWS_SECRET_KEY: str = ""
AWS_REGION_NAME: str = ""
AWS_ACCESS_KEY: Optional[str] = None
AWS_SECRET_KEY: Optional[str] = None
AWS_REGION_NAME: Optional[str] = None
def __init__(self):
self.type = "manifold"
@ -47,21 +47,25 @@ class Pipeline:
}
)
self.bedrock = boto3.client(aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
service_name="bedrock",
region_name=self.valves.AWS_REGION_NAME)
self.bedrock_runtime = boto3.client(aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
service_name="bedrock-runtime",
region_name=self.valves.AWS_REGION_NAME)
self.valves = self.Valves(
**{
"AWS_ACCESS_KEY": os.getenv("AWS_ACCESS_KEY", ""),
"AWS_SECRET_KEY": os.getenv("AWS_SECRET_KEY", ""),
"AWS_REGION_NAME": os.getenv(
"AWS_REGION_NAME", os.getenv(
"AWS_REGION", os.getenv("AWS_DEFAULT_REGION", "")
)
),
}
)
self.pipelines = self.get_models()
self.update_pipelines()
async def on_startup(self):
# This function is called when the server is started.
print(f"on_startup:{__name__}")
self.update_pipelines()
pass
async def on_shutdown(self):
@ -72,40 +76,46 @@ class Pipeline:
async def on_valves_updated(self):
# This function is called when the valves are updated.
print(f"on_valves_updated:{__name__}")
self.bedrock = boto3.client(aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
service_name="bedrock",
region_name=self.valves.AWS_REGION_NAME)
self.bedrock_runtime = boto3.client(aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
service_name="bedrock-runtime",
region_name=self.valves.AWS_REGION_NAME)
self.pipelines = self.get_models()
self.update_pipelines()
def pipelines(self) -> List[dict]:
return self.get_models()
def update_pipelines(self) -> None:
try:
self.bedrock = boto3.client(service_name="bedrock",
aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
region_name=self.valves.AWS_REGION_NAME)
self.bedrock_runtime = boto3.client(service_name="bedrock-runtime",
aws_access_key_id=self.valves.AWS_ACCESS_KEY,
aws_secret_access_key=self.valves.AWS_SECRET_KEY,
region_name=self.valves.AWS_REGION_NAME)
self.pipelines = self.get_models()
except Exception as e:
print(f"Error: {e}")
self.pipelines = [
{
"id": "error",
"name": "Could not fetch models from Bedrock, please set up AWS Key/Secret or Instance/Task Role.",
},
]
def get_models(self):
if self.valves.AWS_ACCESS_KEY and self.valves.AWS_SECRET_KEY:
try:
response = self.bedrock.list_foundation_models(byProvider='Anthropic', byInferenceType='ON_DEMAND')
return [
{
"id": model["modelId"],
"name": model["modelName"],
}
for model in response["modelSummaries"]
]
except Exception as e:
print(f"Error: {e}")
return [
{
"id": "error",
"name": "Could not fetch models from Bedrock, please update the Access/Secret Key in the valves.",
},
]
else:
return []
try:
response = self.bedrock.list_foundation_models(byProvider='Anthropic', byInferenceType='ON_DEMAND')
return [
{
"id": model["modelId"],
"name": model["modelName"],
}
for model in response["modelSummaries"]
]
except Exception as e:
print(f"Error: {e}")
return [
{
"id": "error",
"name": "Could not fetch models from Bedrock, please check permissoin.",
},
]
def pipe(
self, user_message: str, model_id: str, messages: List[dict], body: dict