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Merge pull request #2501 from pipecat-ai/mb/aws-tts-more-flexible-auth

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Support additional authentication mechanisms for AWS services
This commit is contained in:
Mark Backman
2025-08-26 18:05:37 -07:00
committed by GitHub
parent 3f66acf9f1 86a37d8cea
commit fc3d84dff7
3 changed files with 18 additions and 18 deletions
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17
CHANGELOG.md
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@@ -87,12 +87,21 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Changed ### Changed
- Updated `SarvamTTSService` to use WebSocket streaming for real-time audio - Added support to `AWSBedrockLLMService` for setting authentication
generation with multiple Indian languages, with HTTP support still available credentials through environment variables.
- Updated `SarvamTTSService` to use WebSocket streaming for real-time audio
generation with multiple Indian languages, with HTTP support still available
via `SarvamHttpTTSService`. via `SarvamHttpTTSService`.
### Fixed ### Fixed
- Fixed a missing import in `SentryMetrics`.
- Fixed `AWSPollyTTSService` to support AWS credential provider chain (IAM
roles, IRSA, instance profiles) instead of requiring explicit environment
variables.
- Fixed a `CartesiaTTSService` issue that was causing the application to hang - Fixed a `CartesiaTTSService` issue that was causing the application to hang
after Cartesia's 5 minutes timed out. after Cartesia's 5 minutes timed out.
@@ -145,8 +154,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Deprecated ### Deprecated
- `FrameProcessor.wait_for_task()` is deprecated. Use `await task` or `await - `FrameProcessor.wait_for_task()` is deprecated. Use `await task` or
asyncio.wait_for(task, timeout)` instead. `await asyncio.wait_for(task, timeout)` instead.
### Removed ### Removed

9
src/pipecat/services/aws/llm.py
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@@ -16,6 +16,7 @@ import base64
import copy import copy
import io import io
import json import json
import os
import re import re
from dataclasses import dataclass from dataclasses import dataclass
from typing import Any, Dict, List, Optional from typing import Any, Dict, List, Optional
@@ -761,10 +762,10 @@ class AWSBedrockLLMService(LLMService):
# Store AWS session parameters for creating client in async context # Store AWS session parameters for creating client in async context
self._aws_params = { self._aws_params = {
"aws_access_key_id": aws_access_key, "aws_access_key_id": aws_access_key or os.getenv("AWS_ACCESS_KEY_ID"),
"aws_secret_access_key": aws_secret_key, "aws_secret_access_key": aws_secret_key or os.getenv("AWS_SECRET_ACCESS_KEY"),
"aws_session_token": aws_session_token, "aws_session_token": aws_session_token or os.getenv("AWS_SESSION_TOKEN"),
"region_name": aws_region, "region_name": aws_region or os.getenv("AWS_REGION", "us-east-1"),
"config": client_config, "config": client_config,
} }

10
src/pipecat/services/aws/tts.py
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@@ -185,16 +185,6 @@ class AWSPollyTTSService(TTSService):
"region_name": region or os.getenv("AWS_REGION", "us-east-1"), "region_name": region or os.getenv("AWS_REGION", "us-east-1"),
} }
# Validate that we have the required credentials
if (
not self._aws_params["aws_access_key_id"]
or not self._aws_params["aws_secret_access_key"]
):
raise ValueError(
"AWS credentials not found. Please provide them either through constructor parameters "
"or set AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables."
)
self._aws_session = aioboto3.Session() self._aws_session = aioboto3.Session()
self._settings = { self._settings = {
"engine": params.engine, "engine": params.engine,