genesis infer is the canonical headless surface for provider-backed inference workflows.

It intentionally exposes capability families, not raw gateway RPC names and not raw agent tool ids.

Turn infer into a skill

Copy and paste this to an agent:

Read https://genesis.pixelzx.com/docs/cli/infer, then create a skill that routes my common workflows to `genesis infer`.
Focus on model runs, image generation, video generation, audio transcription, TTS, web search, and embeddings.

A good infer-based skill should:

  • map common user intents to the correct infer subcommand
  • include a few canonical infer examples for the workflows it covers
  • prefer genesis infer ... in examples and suggestions
  • avoid re-documenting the entire infer surface inside the skill body

Typical infer-focused skill coverage:

  • genesis infer model run
  • genesis infer image generate
  • genesis infer audio transcribe
  • genesis infer tts convert
  • genesis infer web search
  • genesis infer embedding create

Why use infer

genesis infer provides one consistent CLI for provider-backed inference tasks inside Genesis.

Benefits:

  • Use the providers and models already configured in Genesis instead of wiring up one-off wrappers for each backend.
  • Keep model, image, audio transcription, TTS, video, web, and embedding workflows under one command tree.
  • Use a stable --json output shape for scripts, automation, and agent-driven workflows.
  • Prefer a first-party Genesis surface when the task is fundamentally "run inference."
  • Use the normal local path without requiring the gateway for most infer commands.

For end-to-end provider checks, prefer genesis infer ... once lower-level provider tests are green. It exercises the shipped CLI, config loading, default-agent resolution, bundled plugin activation, runtime-dependency repair, and the shared capability runtime before the provider request is made.

Command tree

 genesis infer
  list
  inspect

  model
    run
    list
    inspect
    providers
    auth login
    auth logout
    auth status

  image
    generate
    edit
    describe
    describe-many
    providers

  audio
    transcribe
    providers

  tts
    convert
    voices
    providers
    status
    enable
    disable
    set-provider

  video
    generate
    describe
    providers

  web
    search
    fetch
    providers

  embedding
    create
    providers

Common tasks

This table maps common inference tasks to the corresponding infer command.

Task Command Notes
Run a text/model prompt genesis infer model run --prompt "..." --json Uses the normal local path by default
Generate an image genesis infer image generate --prompt "..." --json Use image edit when starting from an existing file
Describe an image file genesis infer image describe --file ./image.png --json --model must be an image-capable <provider/model>
Transcribe audio genesis infer audio transcribe --file ./memo.m4a --json --model must be <provider/model>
Synthesize speech genesis infer tts convert --text "..." --output ./speech.mp3 --json tts status is gateway-oriented
Generate a video genesis infer video generate --prompt "..." --json
Describe a video file genesis infer video describe --file ./clip.mp4 --json --model must be <provider/model>
Search the web genesis infer web search --query "..." --json
Fetch a web page genesis infer web fetch --url https://example.com --json
Create embeddings genesis infer embedding create --text "..." --json

Behavior

  • genesis infer ... is the primary CLI surface for these workflows.
  • Use --json when the output will be consumed by another command or script.
  • Use --provider or --model provider/model when a specific backend is required.
  • For image describe, audio transcribe, and video describe, --model must use the form <provider/model>.
  • For image describe, an explicit --model runs that provider/model directly. The model must be image-capable in the model catalog or provider config. codex/<model> runs a bounded Codex app-server image-understanding turn; openai-codex/<model> uses the OpenAI Codex OAuth provider path.
  • Stateless execution commands default to local.
  • Gateway-managed state commands default to gateway.
  • The normal local path does not require the gateway to be running.

Model

Use model for provider-backed text inference and model/provider inspection.

genesis infer model run --prompt "Reply with exactly: smoke-ok" --json
genesis infer model run --prompt "Summarize this changelog entry" --provider openai --json
genesis infer model providers --json
genesis infer model inspect --name gpt-5.5 --json

Notes:

  • model run reuses the agent runtime so provider/model overrides behave like normal agent execution.
  • model auth login, model auth logout, and model auth status manage saved provider auth state.

Image

Use image for generation, edit, and description.

genesis infer image generate --prompt "friendly lobster illustration" --json
genesis infer image generate --prompt "cinematic product photo of headphones" --json
genesis infer image describe --file ./photo.jpg --json
genesis infer image describe --file ./ui-screenshot.png --model openai/gpt-4.1-mini --json
genesis infer image describe --file ./photo.jpg --model ollama/qwen2.5vl:7b --json

Notes:

  • Use image edit when starting from existing input files.

  • Use image providers --json to verify which bundled image providers are discoverable, configured, selected, and which generation/edit capabilities each provider exposes.

  • Use image generate --model <provider/model> --json as the narrowest live CLI smoke for image generation changes. Example:

    genesis infer image providers --json
    genesis infer image generate \
      --model google/gemini-3.1-flash-image-preview \
      --prompt "Minimal flat test image: one blue square on a white background, no text." \
      --output ./genesis-infer-image-smoke.png \
      --json
    

    The JSON response reports ok, provider, model, attempts, and written output paths. When --output is set, the final extension may follow the provider's returned MIME type.

  • For image describe, --model must be an image-capable <provider/model>.

  • For local Ollama vision models, pull the model first and set OLLAMA_API_KEY to any placeholder value, for example ollama-local. See Ollama.

Audio

Use audio for file transcription.

genesis infer audio transcribe --file ./memo.m4a --json
genesis infer audio transcribe --file ./team-sync.m4a --language en --prompt "Focus on names and action items" --json
genesis infer audio transcribe --file ./memo.m4a --model openai/whisper-1 --json

Notes:

  • audio transcribe is for file transcription, not realtime session management.
  • --model must be <provider/model>.

TTS

Use tts for speech synthesis and TTS provider state.

genesis infer tts convert --text "hello from genesis" --output ./hello.mp3 --json
genesis infer tts convert --text "Your build is complete" --output ./build-complete.mp3 --json
genesis infer tts providers --json
genesis infer tts status --json

Notes:

  • tts status defaults to gateway because it reflects gateway-managed TTS state.
  • Use tts providers, tts voices, and tts set-provider to inspect and configure TTS behavior.

Video

Use video for generation and description.

genesis infer video generate --prompt "cinematic sunset over the ocean" --json
genesis infer video generate --prompt "slow drone shot over a forest lake" --json
genesis infer video describe --file ./clip.mp4 --json
genesis infer video describe --file ./clip.mp4 --model openai/gpt-4.1-mini --json

Notes:

  • --model must be <provider/model> for video describe.

Web

Use web for search and fetch workflows.

genesis infer web search --query "Genesis docs" --json
genesis infer web search --query "Genesis infer web providers" --json
genesis infer web fetch --url https://genesis.pixelzx.com/docs/cli/infer --json
genesis infer web providers --json

Notes:

  • Use web providers to inspect available, configured, and selected providers.

Embedding

Use embedding for vector creation and embedding provider inspection.

genesis infer embedding create --text "friendly lobster" --json
genesis infer embedding create --text "customer support ticket: delayed shipment" --model openai/text-embedding-3-large --json
genesis infer embedding providers --json

JSON output

Infer commands normalize JSON output under a shared envelope:

{
  "ok": true,
  "capability": "image.generate",
  "transport": "local",
  "provider": "openai",
  "model": "gpt-image-2",
  "attempts": [],
  "outputs": []
}

Top-level fields are stable:

  • ok
  • capability
  • transport
  • provider
  • model
  • attempts
  • outputs
  • error

For generated media commands, outputs contains files written by Genesis. Use the path, mimeType, size, and any media-specific dimensions in that array for automation instead of parsing human-readable stdout.

Common pitfalls

# Bad
genesis infer media image generate --prompt "friendly lobster"

# Good
genesis infer image generate --prompt "friendly lobster"
# Bad
genesis infer audio transcribe --file ./memo.m4a --model whisper-1 --json

# Good
genesis infer audio transcribe --file ./memo.m4a --model openai/whisper-1 --json

Notes

  • genesis capability ... is an alias for genesis infer ....

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