fix: add drop_params support to BedrockCompletion for unsupported parameters

[devin-ai-integration]

fix: add drop_params support to BedrockCompletion for unsupported parameters

Summary

Fixes GitHub issue #4046 where certain Bedrock models (like openai.gpt-oss-safeguard-120b) don't support the stopSequences field and throw an error: "This model doesn't support the stopSequences field."

This PR adds support for drop_params and additional_drop_params parameters in BedrockCompletion._get_inference_config(), following the same pattern already implemented in the Azure provider. Users can now drop unsupported parameters from the inference config:

llm = LLM(
    model="bedrock/openai.gpt-oss-safeguard-120b",
    drop_params=True,
    additional_drop_params=["stopSequences"]
)

Changes:

• Modified _get_inference_config() to check for drop_params and additional_drop_params in additional_params and remove specified keys from the config
• Added 6 unit tests covering various scenarios (drop enabled/disabled, multiple params, API call verification)

Review & Testing Checklist for Human

• Test with actual Bedrock model: The tests mock the boto3 client. Please verify this fix works with the actual openai.gpt-oss-safeguard-120b model or another model that doesn't support stopSequences
• Verify agent behavior: Since supports_stop_words() still returns True, the agent executor will still set stop words but they'll be dropped before the API call. Confirm this doesn't cause unexpected behavior in the agent loop
• Check parameter naming: Users must use AWS API parameter names (e.g., stopSequences, topP) in additional_drop_params, not internal attribute names (e.g., stop_sequences, top_p)

Notes

• The # type: ignore[misc] comment is needed because EnhancedInferenceConfigurationTypeDef is a TypedDict and popping arbitrary keys causes type checker complaints
• Link to Devin run: https://app.devin.ai/sessions/e9f1350aad0d4b70bd32822f984ea1bc
• Requested by: João (joao@crewai.com)

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