Gemini API CLI

# 1. Install on macOS or Linux
curl -fsSL https://raw.githubusercontent.com/google-gemini/gemini-api-cli/main/scripts/install.sh | bash

# 2. Set your API key
export GEMINI_API_KEY="YOUR_API_KEY"

# 3. Generate media, analyze a file, or launch a background managed agent
gemini-api image "Minimalist isometric icon of a cloud database" --out ./assets/db-icon.jpg
gemini-api analyze -i ./docs/quarterly-report.pdf "Summarize the key findings in three bullets."
gemini-api agent run "Compare WebRTC SFU architectures and cite sources" \
  --agent deep-research-preview-04-2026 \
  --background \
  --stream=false

{
  "kind": "image",
  "mime_type": "image/jpeg",
  "path": "/path/to/project/assets/db-icon.jpg",
  "response_id": "v1_...",
  "size_bytes": 2914159,
  "status": "completed"
}

export GEMINI_API_KEY="YOUR_API_KEY"

# Save to your OS keychain (or run gemini-api configure --interactive)
gemini-api configure --api-key "YOUR_API_KEY"

# Check the active credential source, then preview a request offline
gemini-api whoami
gemini-api generate "Confirm CLI setup in one sentence." --dry-run

## Gemini API CLI (`gemini-api`)

You have access to `gemini-api` through the shell. Use it to generate text or media (images, speech, music, video), analyze documents and recordings, or run and manage Gemini managed agents.

1. Run `gemini-api --help` or `gemini-api --usage` to choose a command, and `gemini-api <command> --schema` before building a `--body` JSON payload.
2. Preview unfamiliar or complex calls offline with `--dry-run -o json`.
3. For a single JSON result or `--jq` filtering on `generate` or `agent run`, pass `--stream=false -o json`.
4. To chain multi-step workflows, capture the output paths that media and transcription commands print to stdout, and the `id` values returned by `generate` or `agent run`.

Build a landing page for our developer tool. Use Gemini to generate a hero
illustration and a 15-second welcome voiceover, and start a background Deep
Research agent to compare competing CLI onboarding flows. Wire the assets and
findings into the page.

# Generate a 16:9 image at 2K resolution (512, 1K, 2K, or 4K) and capture its path
HERO_PATH=$(gemini-api image "Friendly robot mascot in a sunlit workshop, space on left for headline" \
  --aspect-ratio 16:9 \
  --image-size 2K \
  --out ./public/images/hero.jpg)

# Edit the generated image
gemini-api image "Add a winter scarf and soft snowfall outside the window" \
  -i "$HERO_PATH" \
  --out ./public/images/hero-winter.jpg

gemini-api tts "Build succeeded. All integration tests passed." \
  --voice Aoede \
  --out ./public/audio/build-ok.wav

gemini-api tts "Alice: Welcome to the release walkthrough! Bob: Let's look at what shipped today." \
  --multi-speaker "Alice=Kore,Bob=Puck" \
  --out ./public/audio/release-intro.wav

gemini-api music "Warm ambient synth and acoustic guitar background loop, 95 BPM" \
  --out ./public/audio/bg-loop.mp3

gemini-api video "A drone shot of a mountain landscape at sunrise." \
  --aspect-ratio 16:9 \
  --resolution 1080p \
  --out ./public/video/mountain-sunrise.mp4

gemini-api generate "Write a one-paragraph welcome message for new users of a note-taking app."

gemini-api analyze -i ./docs/product-brief.pdf "List the open questions and who owns each one." > open-questions.md

gemini-api transcribe -i ./fixtures/customer-call.mp4 --format srt --out ./fixtures/customer-call.srt

FILE_URI=$(gemini-api files upload ./recordings/all-hands.mp4 --wait)

gemini-api analyze -i "$FILE_URI" "List action items with owners and timestamps."
gemini-api transcribe -i "$FILE_URI" --format json --out ./recordings/all-hands.json

# Launch a Deep Research job in the background and capture its interaction ID
RESEARCH_ID=$(gemini-api agent run "Compare open-source vector index benchmarks and cite primary papers." \
  --agent deep-research-preview-04-2026 \
  --background \
  --stream=false \
  --jq '.id')

# Check status or fetch the finished result while continuing other work
gemini-api agent status "$RESEARCH_ID" -o json

# Inspect the JSON Schema for the request body
gemini-api generate --schema > generate-schema.json

# Return schema-constrained JSON and skip storing the interaction
cat logs.txt | gemini-api generate "Extract every error message from these logs." \
  --stdin \
  --body '{
    "response_format": {
      "type": "text",
      "mime_type": "application/json",
      "schema": {
        "type": "object",
        "properties": {"errors": {"type": "array", "items": {"type": "string"}}},
        "required": ["errors"]
      }
    },
    "store": false
  }'