Setup An AI Coach With LLM Gateway

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import requests
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import time
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base_url = "https://api.assemblyai.com"
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headers = {"authorization": "<YOUR_API_KEY>"}
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# Use a publicly-accessible URL:
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audio_url = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"
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# with open("/your_audio_file.mp3", "rb") as f:
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#     response = requests.post(base_url + "/v2/upload", headers=headers, data=f)
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#     if response.status_code != 200:
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#         print(f"Error: {response.status_code}, Response: {response.text}")
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#         response.raise_for_status()
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#     upload_json = response.json()
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#     audio_url = upload_json["upload_url"]
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data = {
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    "audio_url": audio_url,
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    "speech_models": ["universal-3-pro"],
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}
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response = requests.post(base_url + "/v2/transcript", headers=headers, json=data)
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if response.status_code != 200:
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    print(f"Error: {response.status_code}, Response: {response.text}")
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transcript_json = response.json()
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transcript_id = transcript_json["id"]
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polling_endpoint = f"{base_url}/v2/transcript/{transcript_id}"
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while True:
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    transcript = requests.get(polling_endpoint, headers=headers).json()
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    if transcript["status"] == "completed":
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        print(transcript['id'])
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        print(f" \nFull Transcript: \n\n{transcript['text']}\n")
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        break
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    elif transcript["status"] == "error":
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        raise RuntimeError(f"Transcription failed: {transcript['error']}")
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    else:
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        time.sleep(3)
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prompt = f"""
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        - You are an expert at providing valuable feedback to individuals.
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        - You possess exceptionally high emotional intelligence.
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        - You excel at analyzing the behavior of individuals in the given transcript and providing insights on how they could improve.
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        - You emphasize constructive criticism in your feedback.
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        - The feedback focuses on how people can better achieve their objectives.
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        - You avoid providing unjustified or unfounded feedback.
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        - Your communication is clear, accurate and concise, and you write with perfect English.
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        - Directly start with the feedback without any preamble or introduction.
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        """
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llm_gateway_data = {
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    "model": "claude-sonnet-4-5-20250929",
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    "messages": [
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      {
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        "role": "user",
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        "content": f"{prompt} Please provide feedback for this transcript: \n\n{transcript["text"]}"
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      }
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    ],
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    "max_tokens": 1500
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  }
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response = requests.post(
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  "https://llm-gateway.assemblyai.com/v1/chat/completions",
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  headers=headers,
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  json=llm_gateway_data
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)
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result = response.json()
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if "error" in result:
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    print(f"\nError from LLM Gateway: {result['error']}")
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else:
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    response_text = result['choices'][0]['message']['content']
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    print(f"\nResponse ID: {result["request_id"]}\n")
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    print(response_text)

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import requests
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import time
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base_url = "https://api.assemblyai.com"
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headers = {"authorization": "<YOUR_API_KEY>"}

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audio_url = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"
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# with open("/your_audio_file.mp3", "rb") as f:
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#     response = requests.post(base_url + "/v2/upload", headers=headers, data=f)
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#     if response.status_code != 200:
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#         print(f"Error: {response.status_code}, Response: {response.text}")
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#         response.raise_for_status()
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#     upload_json = response.json()
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#     audio_url = upload_json["upload_url"]
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data = {
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    "audio_url": audio_url,
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    "speech_models": ["universal-3-pro"],
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}
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response = requests.post(base_url + "/v2/transcript", headers=headers, json=data)
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if response.status_code != 200:
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    print(f"Error: {response.status_code}, Response: {response.text}")
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transcript_json = response.json()
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transcript_id = transcript_json["id"]
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polling_endpoint = f"{base_url}/v2/transcript/{transcript_id}"
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while True:
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    transcript = requests.get(polling_endpoint, headers=headers).json()
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    if transcript["status"] == "completed":
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        print(transcript['id'])
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        print(f" \nFull Transcript: \n\n{transcript['text']}\n")
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        break
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    elif transcript["status"] == "error":
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        raise RuntimeError(f"Transcription failed: {transcript['error']}")
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    else:
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        time.sleep(3)

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prompt = f"""
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        - You are an expert at providing valuable feedback to individuals.
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        - You possess exceptionally high emotional intelligence.
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        - You excel at analyzing the behavior of individuals in the given transcript and providing insights on how they could improve.
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        - You emphasize constructive criticism in your feedback.
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        - The feedback focuses on how people can better achieve their objectives.
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        - You avoid providing unjustified or unfounded feedback.
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        - Your communication is clear, accurate and concise, and you write with perfect English.
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        - Directly start with the feedback without any preamble or introduction.
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        """

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llm_gateway_data = {
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    "model": "claude-sonnet-4-5-20250929",
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    "messages": [
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      {
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        "role": "user",
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        "content": f"{prompt} Please provide feedback for this transcript: \n\n{transcript["text"]}"
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      }
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    ],
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    "max_tokens": 1500,
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    "temperature": 0
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  }
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response = requests.post(
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  "https://llm-gateway.assemblyai.com/v1/chat/completions",
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  headers=headers,
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  json=llm_gateway_data
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)

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result = response.json()
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if "error" in result:
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    print(f"\nError from LLM Gateway: {result['error']}")
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else:
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    response_text = result['choices'][0]['message']['content']
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    print(f"\nResponse ID: {result["request_id"]}\n")
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    print(response_text)