geminiv0.2.16

Build a customer support assistant that accepts text, images, and documents via the Gemini contents protocol. Stream responses using streamGenerateContent for low-latency replies and ground answers with the googleSearch tool to keep policies current.

Field technicians stream images of equipment and ask diagnostic questions using gemini-3.7-flash, streaming partial results as troubleshooting steps arrive. FunctionDeclarations let the assistant trigger backend inventory or ticket APIs mid-conversation.

Use Gemini's structured output and multimodal input to extract tables, receipts, and contract clauses into JSON schemas. Streaming with usageMetadata and terminal finishReason ensures downstream pipelines only process complete, validated payloads.

Analysts ask complex questions that Gemini answers using grounding via the googleSearch tool, with thinkingLevel set to high for deeper reasoning. Citations and terminal usage metadata are logged for auditability in regulated workflows.

Teams with existing OpenAI-compatible Chat Completions clients use the conditional compatibility reference to route traffic through RunAPI's Gemini endpoint. This preserves current SDK integrations while adopting Gemini 2.5 and 3 series models for multimodal and reasoning tasks.

Charge customers per token or per request to the Gemini 2.5 and 3 models routed through RunAPI, tracking usage from usageMetadata returned by generateContent and streamGenerateContent. This aligns revenue directly with model consumption and scales naturally with customer growth.

Offer small and mid-sized businesses a ready-to-use workspace that wraps Gemini on RunAPI with prebuilt multimodal chat, grounded search, and structured output templates. Customers avoid infrastructure setup and only manage their own GEMINI_API_KEY and base URL configuration.

Package Gemini capabilities into industry-specific products, such as compliance briefings or field diagnostics, and resell to enterprises under a white-label arrangement. RunAPI's Gemini contents protocol handles the underlying model routing while the reseller owns the customer relationship and domain logic.