A guide for using Google’s Gemini artificial-intelligence models through Agent Platform, Google Cloud’s managed service for building and running AI applications.

It is for building applications that generate text, understand images or other media, call functions, return structured JSON, create embeddings for semantic search, stream live interactions, or process large batches.

It helps developers choose the current Google Gen AI SDK and use Gemini features without relying on older libraries or unclear setup instructions.

gemini-api — Skill for Claude Code and Codex by hamzabellouch

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add hamzabellouch/agent-skills --skill gemini-api

Clone the repo

git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-api.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/gemini-api)

Your own site

<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/gemini-api"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-api.svg" alt="Measured on agentmods" height="20"></a>

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,375 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 80% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00083	$0.02375
Opus 5	$0.00042	$0.01188
Sonnet 5	$0.00017	$0.00475
Haiku 4.5	$0.00008	$0.00237

Measured 8d ago against content hash a5b6929703f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

gemini-api scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

80% identical to gemini-api-agent-platform — 73 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AI API and Agent Platform/gemini-api/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IMPORTANT: Agent Platform (full name Gemini Enterprise Agent Platform) was previously named "Vertex AI" and many web resources use the legacy branding.

Gemini API in Agent Platform

Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Agent Platform.

Provide these key capabilities:

Text generation - Chat, completion, summarization
Multimodal understanding - Process images, audio, video, and documents
Function calling - Let the model invoke your functions
Structured output - Generate valid JSON matching your schema
Context caching - Cache large contexts for efficiency
Embeddings - Generate text embeddings for semantic search
Live Realtime API - Bidirectional streaming for low latency Voice and Video interactions
Batch Prediction - Handle massive async dataset prediction workloads

Core Directives

Unified SDK: ALWAYS use the Gen AI SDK (google-genai for Python, @google/genai for JS/TS, google.golang.org/genai for Go, com.google.genai:google-genai for Java, Google.GenAI for C#).
Legacy SDKs: DO NOT use google-cloud-aiplatform, @google-cloud/vertexai, or google-generativeai.

SDKs

Python: Install google-genai with pip install google-genai
JavaScript/TypeScript: Install @google/genai with npm install @google/genai
Go: Install google.golang.org/genai with go get google.golang.org/genai
C#/.NET: Install Google.GenAI with dotnet add package Google.GenAI
Java:
- groupId: com.google.genai, artifactId: google-genai
- Latest version can be found here: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions (let's call it LAST_VERSION)
- Install in build.gradle:
```
implementation("com.google.genai:google-genai:${LAST_VERSION}")
```
- Install Maven dependency in pom.xml:
```
<dependency>
    <groupId>com.google.genai</groupId>
    <artifactId>google-genai</artifactId>
    <version>${LAST_VERSION}</version>
</dependency>
```

Read the full file on GitHub · 249 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 249 lines · 83 tokens per session scan A a5b6929703f4

Subscribe to this mod's changes

gemini-api is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 2,375 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to gemini-api-agent-platform, differing in 73 lines, and is treated as a copy.

Claude Code Data and AI agent-skills ai-agent antigravity codex-cli cursor

prompt-engineering

Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic…

CodeAlive-AI/ai-driven-development · 76 tokens

gemini-api

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

This is a copy

How it starts

Gemini API in Agent Platform

Core Directives

SDKs

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

prompt-engineering

fixing-prompt

feature-engineering

model-evaluation

streaming-patterns

inference-serving