gemini-3.1-flash-lite is available through TTAPI. Fast multimodal Google models exposed through an OpenAI-compatible chat endpoint.
State what will appear here, offer one clear next action, and reassure the user that completed jobs and downloadable results will be retained in this workspace. This example is tailored to the gemini-3.1-flash-lite model page.
Write concise empty-state copy for a dashboard with no completed generations yet. Keep the answer practical for a gemini-3.1-flash-lite integration.
State what will appear here, offer one clear next action, and reassure the user that completed jobs and downloadable results will be retained in this workspace. This example is tailored to the gemini-3.1-flash-lite model page.
Give a blameless incident-analysis outline for a spike in failed generation requests. Keep the answer practical for a gemini-3.1-flash-lite integration.
Capture impact and timeline, separate facts from hypotheses, identify contributing system conditions, list corrective actions with owners, and define the signal that proves each fix worked. This example is tailored to the gemini-3.1-flash-lite model page.
Propose a focused test strategy for an API client that creates and fetches async jobs. Keep the answer practical for a gemini-3.1-flash-lite integration.
Cover validation failures, accepted submissions, retries, timeouts, duplicate callbacks, terminal success and failure states, and one end-to-end contract test against a controlled environment. This example is tailored to the gemini-3.1-flash-lite model page.
Submit a concise prompt and get production-ready responses output through one TTAPI job.
Keep integration simple with prompt, model, output settings, and callback handling.
Use polling or webhook callbacks so long-running generations do not block your UI.
Return Gemini results that can be displayed, stored, or passed into downstream workflows.
One key and one balance across supported text models.
Use the endpoint below with your TTAPI key and the request fields shown.
TT-API-KEYstringrequiredYour TTAPI API key.
Content-TypestringrequiredUse application/json.
modelstringrequiredSupported model identifier.
messagesarrayrequiredOpenAI-compatible chat messages.
temperaturenumberoptionalSampling temperature.
max_tokensintegeroptionalMaximum output tokens.
streambooleanoptionalEnable server-sent event streaming.
Copy the resolved endpoint, authentication headers, and request body for this model.
curl --request POST \
--url https://api.ttapi.io/gemini/chat/completions \
--header 'TT-API-KEY: $TTAPI_KEY' \
--header 'Content-Type: application/json' \
--data '{"model":"gemini-3.1-flash-lite","messages":[{"role":"user","content":"Summarize this brief."}],"stream":false}'
