Fast multimodal Google models exposed through an OpenAI-compatible chat endpoint.
The brief prioritizes a unified API, predictable billing, static-first documentation, responsive examples, and a short path from key creation to first result.
Summarize a product brief focused on one API, predictable billing, and fast onboarding.
The product unifies model access behind one API, makes usage costs easier to anticipate, and shortens the path from account setup to a successful request. Documentation and examples are designed to remain clear across desktop and mobile.
Extract a JSON object from: Acme renewed the Pro plan for 25 seats on 2026-07-01.
{ "customer": "Acme", "plan": "Pro", "seats": 25, "renewedOn": "2026-07-01" }
Compare polling and webhooks for a small internal tool in three points.
Polling is simpler to deploy, works without a public callback URL, and is easy to debug. Webhooks reduce repeated requests and latency, but require signature verification and reliable event handling.
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-3.5-flash","messages":[{"role":"user","content":"Summarize this brief."}],"stream":false}'
