Extract structured JSON from messy text with Telnyx AI Inference

Extract structured JSON from support tickets, emails, leads, or incident reports with Telnyx AI Inference.

AI Inference:POST /v2/ai/chat/completions

-API reference

  Unstructured text
        |
        v
  Flask API validates request
        |
        v
  Telnyx AI Inference extracts JSON
        |
        v
  Structured JSON response

Copy .env.example

to .env

and fill in:

AI_MODEL

string

moonshotai/Kimi-K2.6

ModelsHOST

string

127.0.0.1

PORT

integer

5000

git clone https://github.com/team-telnyx/telnyx-code-examples.git
cd telnyx-code-examples/extract-structured-json-with-ai-python
cp .env.example .env
pip install -r requirements.txt
python app.py

Extract structured data from text. If you do not provide a schema, the app uses a default support-ticket schema.

curl -X POST http://localhost:5000/extract \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Account: Acme Health. Production verification jobs started failing after an API key rotation. Users cannot finish signup. Logs show 401 errors."
  }'

Response:

{
  "model": "moonshotai/Kimi-K2.6",
  "result": {
    "company": "Acme Health",
    "category": "authentication",
    "priority": "urgent",
    "summary": "Production verification jobs are failing after an API key rotation.",
    "affected_environment": "production",
    "affected_region": "unknown",
    "customer_impact": "Users cannot finish signup.",
    "error_codes": ["401"],
    "suspected_cause": "The new API key may be invalid or missing required permissions.",
    "requested_action": "Check API key configuration and permissions."
  }
}

Returns sample text and the default schema.

Returns service status and configured model.

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Telnyx is an AI Communications Infrastructure platform - voice, messaging, SIP, AI, and IoT on one private, global network.