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Build applications using Google Gemini API. Handle chat completions, multimodal inputs, function calling, streaming, and grounding with Google Search. Use when building applications using google gemini api. handle chat completions, multimodal.
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SOC 職業分類に基づく
| name | gemini-api-dev |
| description | Build applications using Google Gemini API. Handle chat completions, multimodal inputs, function calling, streaming, and grounding with Google Search. Use when building applications using google gemini api. handle chat completions, multimodal. |
| domain | core |
| tags | ["ai","gemini","google","llm","multimodal","api"] |
Trigger phrases:
"gemini api dev"
"When building apps powered by Google Gemini models"
"When processing multimodal inputs (text + images + audio + video)"
"When implementing function calling or tool use with Gemini"
When building apps powered by Google Gemini models
When processing multimodal inputs (text + images + audio + video)
When implementing function calling or tool use with Gemini
When using Gemini for grounding with Google Search
Integrate Google Gemini API for chat, multimodal analysis, function calling, and streaming. Supports Gemini 2.5 Pro, Flash, and Nano models via the Google AI SDK.
@google/genai or google-genai package| Rationalization | Reality |
|---|---|
| "I will just use curl" | SDK handles retries, streaming, auth, and type safety |
| "Gemini is just for text" | Gemini 2.5 processes images, audio, video, and PDFs natively |
| "One prompt fits all" | System instructions and grounding dramatically improve accuracy |
import { GoogleGenAI } from '@google/genai';
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const response = await ai.models.generateContentStream({
model: 'gemini-2.5-pro',
contents: [{ role: 'user', parts: [{ text: 'Analyze this chart' }] }],
config: {
systemInstruction: 'You are a data analyst. Be precise and cite numbers.',
temperature: 0.3,
}
});
for await (const chunk of response) {
process.stdout.write(chunk.text);
}
Enforce staged execution discipline on large tasks: written stage plan, parallel sub-agent delegation, failable verification at each stage, and skeptical self-review before delivery. Use when tasks span multiple files, multiple sources, or multiple sessions. Also triggers on "do this thoroughly", "be systematic", "deep work mode", "be thorough".
Write production-quality code from specs — reads requirements, researches patterns, implements with tests, and iterates until verification passes. Use when implementing features, fixing bugs with known root causes, or building new modules.
Ship code to production through a controlled pipeline with verification gates and rollback plans. Use when deploying features, managing CI/CD, running database migrations, or performing post-incident hotfix recovery.
Investigate topics deeply with cross-referenced sources and produce evidence-backed findings. Use when evaluating technologies before adoption, analyzing competitors, or investigating bug root causes across docs and issues.
Read code changes with adversarial intent to find bugs, security holes, logic errors, and performance traps. Use when reviewing PRs, auditing refactoring for regressions, or running pre-deploy safety checks.
Detect and fix code style violations, enforce project conventions, and ensure consistent formatting across the codebase. Use when cleaning lint errors before PRs, migrating linters, or bulk-applying new rules.