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[NEW CONTENT] Add strands-deepgram to Community Packages - Speech & Audio Processing Tool #287

@eraykeskinmac

Description

@eraykeskinmac

Proposed Content

I would like to propose adding strands-deepgram to the Community Packages documentation.

This is a production-ready speech and audio processing tool for Strands Agents, powered by Deepgram's API. It enables agents to:

  • Speech-to-Text: Transcribe audio files with 30+ language support and speaker diarization
  • Text-to-Speech: Generate natural-sounding speech with multiple voice options
  • Audio Intelligence: Sentiment analysis, topic detection, and intent recognition
  • Multi-format Support: WAV, MP3, M4A, FLAC, and more

Package Information:

Installation:

pip install strands-deepgram
pip install 'strands-agents[anthropic]'

Quick Usage Example:

from strands import Agent
from strands_deepgram import deepgram

agent = Agent(tools=[deepgram])

# Transcribe with speaker identification
agent("transcribe this audio: recording.mp3 with speaker diarization")

# Text-to-speech
agent("convert this text to speech: Hello world")

# Audio intelligence
agent("analyze sentiment in call.wav")

Location

Community Packages → Tools → Speech & Audio Processing

This should be added to the "Community Packages" section of the documentation, specifically under the "Tools" category. It would fit alongside other community-contributed tools that extend Strands Agents capabilities.

Rationale

This package would be valuable for the Strands Agents community because:

  1. Fills a Critical Gap: Enables AI agents to process voice and audio data, which is essential for modern applications like call analytics, voice assistants, meeting transcriptions, and customer support automation.

  2. Production-Ready: Built with comprehensive error handling, follows Strands best practices, supports 30+ languages, and includes real-world examples. Ready to use in production environments.

  3. Saves Development Time: Developers can integrate speech processing in minutes instead of spending days building Deepgram integration from scratch.

  4. Complete Workflows: Works seamlessly with other community tools (strands-hubspot for CRM lookups, strands-teams for notifications) to create end-to-end workflows like call transcription → customer lookup → team notification.

  5. Community Benefit: Open-source with comprehensive documentation and examples. Other developers can learn from it, contribute to it, and build upon it.

  6. Following Best Practices: Published on PyPI, follows strands-{thing} naming convention, includes thorough documentation, and demonstrates proper tool implementation patterns.

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