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In the aws-agentcore-websocket example, clean up some lingering references to OpenAI, after switching to AWSBedrockLLMService
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deployment/aws-agentcore-websocket/README.md

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@@ -52,7 +52,6 @@ You can also choose to specify more granular permissions; see [Amazon Bedrock Ag
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- `AWS_ACCESS_KEY_ID`: Your AWS access key ID for the Amazon Bedrock LLM used by the agent
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- `AWS_SECRET_ACCESS_KEY`: Your AWS secret access key for the Amazon Bedrock LLM used by the agent
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- `AWS_REGION`: The AWS region for the Amazon Bedrock LLM used by the agent
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- `OPENAI_API_KEY`: Your OpenAI API key
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- `DEEPGRAM_API_KEY`: Your Deepgram API key
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- `CARTESIA_API_KEY`: Your Cartesia API key
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deployment/aws-agentcore-websocket/agent/pyproject.toml

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@@ -5,5 +5,5 @@ description = "Pipecat bot agent for Amazon Bedrock AgentCore"
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requires-python = ">=3.10"
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dependencies = [
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"bedrock-agentcore",
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"pipecat-ai[aws,cartesia,daily,deepgram,openai,runner,silero,websocket,local-smart-turn-v3]",
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"pipecat-ai[aws,cartesia,daily,deepgram,runner,silero,websocket,local-smart-turn-v3]",
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]

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