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praisonai-triage-agent[bot]andMervin Praison
de60cc9455
* docs(examples): add meeting-notes agent example composed from existing primitives (#4622) Demonstrates the AI meeting-notes pipeline (transcribe -> summarize -> index for Q&A) using existing AudioAgent, Agent, and knowledge= RAG. No new SDK surface added; keeps core lightweight per AGENTS.md. Co-authored-by: Mervin Praison <[email protected]> * fix(examples): print final Q&A result in meeting-notes agent Greptile P1: qa.start() return was discarded so non-interactive/redirected runs omitted the advertised Q&A output. Now printed explicitly. Co-authored-by: Mervin Praison <[email protected]> --------- Co-authored-by: praisonai-triage-agent[bot] <272766704+praisonai-triage-agent[bot]@users.noreply.github.com> Co-authored-by: Mervin Praison <[email protected]>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
"""
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Meeting Notes Agent
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An AI meeting-notes pipeline composed entirely from existing PraisonAI
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primitives — no new SDK surface required:
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1. AudioAgent.transcribe() -> Whisper speech-to-text
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2. Agent (summary) -> structured summary + action items
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3. Agent (knowledge=[...]) -> index transcript for cross-meeting Q&A
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Usage:
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python meeting-notes-agent.py path/to/recording.mp3
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Requires: OPENAI_API_KEY (or any LiteLLM-supported STT/LLM provider).
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"""
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import sys
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from praisonaiagents import Agent, AudioAgent
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def transcribe_meeting(audio_path: str) -> str:
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"""Speech-to-text using the built-in Whisper AudioAgent."""
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stt = AudioAgent(llm="openai/whisper-1")
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return stt.transcribe(audio_path)
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def summarize_meeting(transcript: str) -> str:
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"""Summarize decisions, topics, and action items."""
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notetaker = Agent(
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name="Meeting Notetaker",
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instructions=(
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"You are an expert meeting notetaker. Given a raw transcript, produce:\n"
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"1. A concise summary (3-5 sentences).\n"
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"2. Key decisions made.\n"
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"3. Action items as a checklist with owners when mentioned.\n"
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"Only include action items that were actually spoken."
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),
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)
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return notetaker.start(f"Transcript:\n\n{transcript}")
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def build_qa_agent(transcript_path: str) -> Agent:
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"""Index the transcript for semantic search and cross-meeting Q&A."""
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return Agent(
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name="Meeting Q&A",
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instructions="Answer questions using only the indexed meeting transcripts. Cite what was said.",
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knowledge=[transcript_path],
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)
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def main() -> None:
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if len(sys.argv) < 2:
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print("Usage: python meeting-notes-agent.py <audio_file>")
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sys.exit(1)
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audio_path = sys.argv[1]
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transcript = transcribe_meeting(audio_path)
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transcript_path = "meeting_transcript.txt"
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with open(transcript_path, "w", encoding="utf-8") as f:
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f.write(transcript)
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notes = summarize_meeting(transcript)
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print("\n=== Meeting Notes ===\n")
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print(notes)
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qa = build_qa_agent(transcript_path)
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print("\n=== Q&A ===\n")
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print(qa.start("What were the main action items and who owns them?"))
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if __name__ == "__main__":
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main()
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