Extract issue type, product and need for human follow-up from these support records. Return only a JSON array; use null for missing fields. Records: [paste text]
USER MESSAGE
01
Field extraction
Constrain the output structure and preserve missing information rather than inventing it.
EXAMPLE PROMPT
Classify each request as billing, sign-in, model invocation or other, with one reason. Flag uncertain cases for human review. Requests: [paste text]
USER MESSAGE
02
Classification and routing
Route uncertain requests for review instead of forcing a confident classification.
What Is GPT-6 Luna?
GPT-6 Luna focuses on well-defined, high-volume workloads such as extraction and classification.
Choose by the input types, output settings and billing unit your workflow needs. Try the same prompt across models to compare results for your own use case.
Integrate GPT-6 Luna into your app
Keep the native request format and point your application to the platform API. Prepare a key with model access, then review status and charges in your usage records.
Everything you need to know about API access, pricing and model capabilities.
How is GPT-6 Luna billed?
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Charges depend on the recorded token usage and your account rates. Input, output and supported cache or reasoning categories are listed separately in the pricing table. The calculator uses public USD prices; the final usage receipt determines the charge.
How do I get an API key?
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Choose “Get API access” to open the integration guide. Sign in to your NewRouters account, prepare a key with access to this model and copy an API example.
Which API endpoints can I use?
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Supported endpoints: /v1/chat/completions、/v1/responses. Choose an endpoint in the API examples to see its native request format.
Does the model support streaming?
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Streaming is not declared for the current route. Use the response format supported by its API.
Can I use tools or structured output?
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Tools: not declared. Structured output: not declared. Request fields follow the selected native endpoint.
Where can I check usage and charges?
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Keep the request ID and open your account’s LLM usage records to inspect request status, token counts and charges. Prompt and answer content are not a conversation history in this view.