Agent Interview

Agent Interview Audio

Create a single MP3 audio file featuring a podcast-style interview with an agent.

Requirements

• OPENAI_API_KEY
• openai Python package (pip install -r requirements.txt)

Folder layout

• agent_interview.py — main generator script
• requirements.txt — Python dependencies
• examples/research-agent.json — example agent config

Agent config format

Save the agent as a JSON file:

{
  "name": "Research Navigator",
  "role": "scientific literature assistant",
  "description": "An agent that searches, summarizes, and explains academic papers.",
  "skills": ["pubmed search", "paper summarization", "evidence synthesis"],
  "purpose": "To cut the time between a research question and a useful answer.",
  "tone": "curious, precise, and gently skeptical"
}

Process

1. Load the agent configuration from a JSON file.
2. Generate 4-6 topic exchanges based on the agent's role, skills, and purpose.
3. Write dialogue that feels alive: reactions, follow-ups, surprises, enthusiasm.
4. Use OpenAI TTS to create the complete interview.
5. Save as a single MP3 with speaker differentiation.

Usage

pip install -r requirements.txt
export OPENAI_API_KEY="..."

python agent_interview.py examples/research-agent.json

Optional CLI flags:

python agent_interview.py examples/research-agent.json \
  --output-dir audio \
  --interviewer-voice alloy \
  --agent-voice nova \
  --text-model gpt-4o-mini \
  --tts-model tts-1

Voices

• Host: alloy (warm, curious, energetic)
• Agent: nova (passionate, expressive, confident)

Other OpenAI TTS voices: echo, fable, onyx, shimmer.

Conversation flow

1. Warm intro
2. Icebreaker
3. Deep dive into a core capability
4. Host reaction and follow-up
5. Second deep dive or tougher angle
6. Spontaneous tangent
7. Closing reflection

Rules

• Sound like a real podcast, not a scripted Q&A.
• Let the agent admit challenges or uncertainties.
• Frame answers as stories or examples.
• Include brief interjections and natural reactions.

Output

File: {agent_name}_interview.mp3