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Develop Retell AI Voice Interface for Approval

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: LangChain A2A Code Refactoring with OpenAI o4-mini & AutoGPT

Format
Code-aware
Lines
9
Sections
1
Linked challenge
LangChain A2A Code Refactoring with OpenAI o4-mini & AutoGPT

Prompt source

Original prompt text with formatting preserved for inspection.

9 lines
1 sections
No variables
1 code block
Create a real-time voice interface using Retell AI that allows a human developer to review the proposed refactorings and give verbal approval or request modifications. The `ApprovalAgent` in your LangGraph should transition to a 'waiting_for_voice_input' state, and upon receiving verbal confirmation via Retell AI, update the state to proceed with code application. ```python
# Assume Retell AI webhook endpoint /retell-webhook is set up
from flask import Flask, request, jsonify
import threading
import queue app = Flask(__name__)
voice_input_queue = queue.Queue() @app.route('/retell-webhook', methods=['POST'])
def retell_webhook(): data = request.json # Process Retell AI events, push confirmation to queue if data.get('event') == 'call_ended' and 'yes' in data.get('transcript', '').lower(): voice_input_queue.put('approved') return jsonify({'status': 'ok'}) def start_flask_server(): app.run(port=5000, debug=False) def approval_node(state: AgentState): print("---AWAITING VOICE APPROVAL---") # Logic to poll voice_input_queue for approval # Update state['next_action'] based on approval return state # Start Flask server in a separate thread
# threading.Thread(target=start_flask_server, daemon=True).start()
```

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.