gemini-3.5-flash is available through TTAPI. Fast multimodal Google models exposed through an OpenAI-compatible chat endpoint.
Start with the goal and release window, assign an owner for each milestone, define an observable success condition, and include a tested rollback path before launch. This example is tailored to the gemini-3.5-flash model page.
Turn these engineering notes into a release plan with owners, milestones, and rollback checks. Keep the answer practical for a gemini-3.5-flash integration.
Start with the goal and release window, assign an owner for each milestone, define an observable success condition, and include a tested rollback path before launch. This example is tailored to the gemini-3.5-flash model page.
Design a JSON data contract for an asynchronous generation job, including validation and status transitions. Keep the answer practical for a gemini-3.5-flash integration.
Use one immutable request ID, validate the input schema at ingestion, model status as a small state machine, and record timestamps plus result URLs for every terminal state. This example is tailored to the gemini-3.5-flash model page.
Rewrite this technical outage note as a calm customer update with clear next steps. Keep the answer practical for a gemini-3.5-flash integration.
Lead with impact and current status, state the mitigation in plain language, avoid speculative causes, and tell customers exactly when the next update will arrive. This example is tailored to the gemini-3.5-flash 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-3.5-flash","messages":[{"role":"user","content":"Summarize this brief."}],"stream":false}'
