Description

Add AWS Bedrock Converse API Support

This PR adds support for AWS Bedrock's Converse API as a new inference engine in Oumi.

Key Features Added:

• New BedrockInferenceEngine - Implements AWS Bedrock Converse API integration
• Framework Integration - Added BEDROCK to InferenceEngineType enum and registered in the engine builder
• AWS Credentials Support - Automatic AWS credential handling via boto3 (IAM roles, profiles, environment variables)
• Concurrent Processing - Async inference with proper concurrency control and rate limiting
• Error Handling - AWS-specific error handling with retry logic and exponential backoff
• Parameter Support - Supports key generation parameters: max_new_tokens, temperature, top_p, stop_strings

Implementation Details:

• Uses boto3 for AWS SDK integration (preferred over raw HTTP for AWS services)
• Extends RemoteInferenceEngine with Bedrock-specific implementations
• Overrides batch inference methods with NotImplementedError (Bedrock doesn't support OpenAI-style batch API)
• Implements required abstract methods: _infer_online(), _infer(), _query_api()
• Includes comprehensive unit tests for conversation conversion and API response parsing

Usage Example:

from oumi.builders.inference_engines import build_inference_engine
from oumi.core.configs import InferenceEngineType, ModelParams

# Create Bedrock engine
engine = build_inference_engine(
    InferenceEngineType.BEDROCK,
    ModelParams(model_name="anthropic.claude-3-sonnet-20240229-v1:0")
)

# Run inference
results = engine.infer(conversations)

Configuration:

model:
  model_name: "us.anthropic.claude-3-sonnet-20240229-v1:0"

inference_engine:
  engine_type: "BEDROCK"

generation:
  max_new_tokens: 1024
  temperature: 0.7
  top_p: 0.9

Related issues

Fixes #1971

Before submitting

• This PR only changes documentation. (You can ignore the following checks in that case)
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• Did you link the issue(s) related to this PR in the section above?
• Did you add / update tests where needed?

Reviewers

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