gpt-5.6-luna

by OpenAIText

gpt-5.6-luna is available through TTAPI. OpenAI chat models through one familiar, OpenAI-compatible endpoint.

InputPromptmessages
Models21available
FlowSyncresult URL
Price20% offofficial
gpt-5.6-lunaExample conversation
You

Create a short security checklist for a browser client that submits API jobs. Keep the answer practical for a gpt-5.6-luna integration.

gpt-5.6-luna logo
gpt-5.6-luna

Keep secrets server-side, authenticate every request, validate payloads before forwarding, use short-lived signed URLs for assets, and log security-relevant failures without recording secrets. This example is tailored to the gpt-5.6-luna model page.

Examples

A request and response, in context

01 · Security reviewgpt-5.6-luna
You

Create a short security checklist for a browser client that submits API jobs. Keep the answer practical for a gpt-5.6-luna integration.

gpt-5.6-luna logo
gpt-5.6-luna

Keep secrets server-side, authenticate every request, validate payloads before forwarding, use short-lived signed URLs for assets, and log security-relevant failures without recording secrets. This example is tailored to the gpt-5.6-luna model page.

02 · Architecture choicegpt-5.6-luna
You

Compare polling and webhooks for a team that needs reliable job completion updates. Keep the answer practical for a gpt-5.6-luna integration.

gpt-5.6-luna logo
gpt-5.6-luna

Polling is easier behind private networks and during early prototyping; webhooks reduce repeated requests in production but require a reachable verified endpoint and idempotent event handling. This example is tailored to the gpt-5.6-luna model page.

03 · SQL migrationgpt-5.6-luna
You

Plan a safe migration that adds a required field to a large production table. Keep the answer practical for a gpt-5.6-luna integration.

gpt-5.6-luna logo
gpt-5.6-luna

Add the field as nullable first, backfill in small observable batches, deploy readers that tolerate both states, validate completion, then enforce the constraint in a separate release. This example is tailored to the gpt-5.6-luna model page.

Capabilities

What you can build with gpt-5.6-luna

Prompt driven generation

Submit a concise prompt and get production-ready responses output through one TTAPI job.

Core controls only

Keep integration simple with prompt, model, output settings, and callback handling.

Async result flow

Use polling or webhook callbacks so long-running generations do not block your UI.

Ready for product UI

Return ChatGPT results that can be displayed, stored, or passed into downstream workflows.

Pricing

Token billing rules

One key and one balance across supported text models.

Token billing ruleOfficial pricing
PlatformTTAPI billing
OpenAI20% off official pricing
API request

Headers and submit parameters

Use the endpoint below with your TTAPI key and the request fields shown.

POSThttps://api.ttapi.io/v1/chat/completions

Headers

Authorizationstringrequired

Your TTAPI API key.

Content-Typestringrequired

Use application/json.

Body

modelstringrequired

Supported model identifier.

messagesarrayrequired

OpenAI-compatible chat messages.

temperaturenumberoptional

Sampling temperature.

max_tokensintegeroptional

Maximum output tokens.

streambooleanoptional

Enable server-sent event streaming.

Open the official TTAPI documentation
Integrate

From key to first result

Copy the resolved endpoint, authentication headers, and request body for this model.

curl --request POST \
  --url https://api.ttapi.io/v1/chat/completions \
  --header 'Authorization: Bearer $TTAPI_KEY' \
  --header 'Content-Type: application/json' \
  --data '{"model":"gpt-5.6-luna","messages":[{"role":"user","content":"Design a reliable retry strategy."}],"stream":false}'