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Venice Api Kit

Complete Venice AI API toolkit - image generation, video, audio, embeddings, transcription, characte

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4.5 (178 reviews)
Downloads
8,158 downloads
Version
1.0.0

Overview

Complete Venice AI API toolkit - image generation, video, audio, embeddings, transcription, characters, models.

Complete Documentation

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Venice API Kit

Complete toolkit for the entire Venice AI API. Includes all inference endpoints (image, video, audio, embeddings), discovery tools (models, characters), and admin functions (billing, usage, API keys).

API Base URL: https://api.venice.ai/api/v1 Documentation: docs.venice.ai

Setup

  • Get your API key from venice.ai → Settings → API Keys
  • Set the environment variable:
bash
export VENICE_API_KEY="your_api_key_here"

Or configure in ~/.openclaw/openclaw.json:

json5
{
  skills: {
    entries: {
      "venice-api-kit": {
        apiKey: "your_api_key_here"
      }
    }
  }
}


Image Generation

Generate images using Venice's image models. Returns base64 image data.

bash
uv run {baseDir}/scripts/image_generate.py --prompt "a serene mountain landscape at sunset"

Options:

  • --prompt (required): Description of the image (max 7500 chars, model-dependent)
  • --output: Output filename (default: auto-generated timestamp)
  • --model: Model ID (default: flux-2-max)
  • --size: Image size: 1024x1024, 1536x1024, 1024x1536, 1792x1024, 1024x1792 (default: 1024x1024)
  • --style-id: Style preset ID (use --list-styles to see available)
  • --negative-prompt: What to avoid in the image
  • --seed: Seed for reproducible generation
List available styles:

bash
uv run {baseDir}/scripts/image_generate.py --list-styles


Image Upscaling

Upscale images 1-4x with optional AI enhancement. Returns binary PNG.

bash
uv run {baseDir}/scripts/image_upscale.py --image input.png --scale 2

Options:

  • --image (required): Input image path or URL
  • --output: Output filename (default: upscaled-{timestamp}.png)
  • --scale: Scale factor 1-4 (default: 2). Scale of 1 requires --enhance
  • --enhance: Enable AI enhancement during upscaling
  • --enhance-creativity: How much AI can change (0-1, higher = more creative)
  • --enhance-prompt: Style to apply (e.g., "gold", "marble", "cinematic")
  • --replication: Preserve original lines/noise (0-1, higher = less hallucination)
Example with enhancement:

bash
uv run {baseDir}/scripts/image_upscale.py --image photo.png --scale 2 --enhance --enhance-prompt "cinematic lighting"


Image Editing

Edit images with AI using text prompts. Returns binary PNG.

bash
uv run {baseDir}/scripts/image_edit.py --image photo.png --prompt "add sunglasses"

Options:

  • --image (required): Input image path or URL
  • --prompt (required): Edit instructions (e.g., "remove the tree", "change sky to sunset")
  • --output: Output filename (default: edited-{timestamp}.png)
  • --model: Edit model (default: qwen-edit). Available: qwen-edit, flux-2-max-edit, gpt-image-1-5-edit, nano-banana-pro-edit, seedream-v4-edit
  • --aspect-ratio: Output aspect ratio: auto, 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4

Background Removal

Remove backgrounds from images. Returns binary PNG with transparency.

bash
uv run {baseDir}/scripts/image_background_remove.py --image photo.png

Options:

  • --image (required): Input image path or URL
  • --output: Output filename (default: no-background-{timestamp}.png)

Text-to-Speech

Convert text to speech with multiple voices and formats. Returns binary audio.

bash
uv run {baseDir}/scripts/audio_speech.py --text "Hello, welcome to Venice AI"

Options:

  • --text (required): Text to convert (max 4096 characters)
  • --output: Output filename (default: speech-{timestamp}.{format})
  • --voice: Voice ID (default: af_nicole)
  • --model: TTS model (default: tts-kokoro)
  • --speed: Speed multiplier 0.25-4.0 (default: 1.0)
  • --format: Audio format: mp3, opus, aac, flac, wav, pcm (default: mp3)
  • --streaming: Stream audio sentence by sentence
Available voices:
  • American Female: af_alloy, af_aoede, af_bella, af_heart, af_jadzia, af_jessica, af_kore, af_nicole, af_nova, af_river, af_sarah, af_sky
  • American Male: am_adam, am_echo, am_eric
  • British Female: bf_emma, bf_isabella, bf_alice
  • British Male: bm_george, bm_lewis, bm_daniel

Audio Transcription

Transcribe audio files to text using Whisper-based speech recognition.

bash
uv run {baseDir}/scripts/transcribe.py --file audio.mp3

Options:

  • --file (required): Audio file to transcribe (WAV, MP3, FLAC, M4A, AAC)
  • --output: Save transcription to file
  • --model: ASR model (default: openai/whisper-large-v3)
  • --format: Output format: json or text (default: json)
  • --timestamps: Include word/segment timestamps
  • --language: Language hint (ISO 639-1: en, es, fr, etc.)

Embeddings

Generate vector embeddings for RAG applications.

bash
uv run {baseDir}/scripts/embeddings.py --text "Your text to embed"

Options:

  • --text: Text to embed (use this OR --file)
  • --file: Read text from file
  • --output: Save embeddings to JSON file
  • --model: Embedding model (default: text-embedding-3-small)

Video Generation

Generate videos from text prompts. Some models require a reference image. Async with polling.

Text-to-video:

bash
uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano"

Image-to-video (requires reference image):

bash
uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano" --image reference.png

Options:

  • --prompt (required): Video description (max 2500 characters)
  • --image: Reference image (path or URL) - required for image-to-video models
  • --output: Output filename (default: venice-video-{timestamp}.mp4)
  • --model: Video model (default: wan-2.6-image-to-video). Also: wan-2.6-text-to-video, wan-2.6-flash-image-to-video
  • --duration: Video duration: 5s or 10s (default: 5s)
  • --resolution: Resolution: 480p, 720p, 1080p (default: 720p)
  • --aspect-ratio: Aspect ratio (e.g., 16:9, 9:16, 1:1)
  • --negative-prompt: What to avoid in the video
  • --max-wait: Max seconds to wait for completion (default: 600)

Models Explorer

List and explore all available Venice AI models. No API key required.

bash
uv run {baseDir}/scripts/models.py

Options:

  • --type: Filter by type: all, text, image, video, tts, asr, embedding, code, upscale, inpaint (default: all)
  • --format: Output format: table, json, names (default: table)
  • --output: Save to file
Examples:

bash
uv run {baseDir}/scripts/models.py --type image
uv run {baseDir}/scripts/models.py --format json --output models.json


Characters Browser

Browse and discover Venice AI character personas.

bash
uv run {baseDir}/scripts/characters.py

Options:

  • --search: Search by name or description
  • --tag: Filter by tag
  • --limit: Max results (default: 20)
  • --format: Output format: table, json, list (default: table)
  • --output: Save to file
Examples:

bash
uv run {baseDir}/scripts/characters.py --search "coding"
uv run {baseDir}/scripts/characters.py --tag "assistant" --format json


Admin: Check Balance

Check your DIEM and USD balances. Requires Admin API key.

bash
uv run {baseDir}/scripts/balance.py

Shows current balance, consumption currency, and DIEM epoch allocation.


Admin: Usage History

View detailed usage history with filtering. Requires Admin API key.

bash
uv run {baseDir}/scripts/usage.py

Options:

  • --currency: Filter by currency: DIEM, USD, VCU (default: DIEM)
  • --start-date: Start date (ISO format: 2024-01-01)
  • --end-date: End date (ISO format: 2024-12-31)
  • --limit: Results per page, max 200 (default: 50)
  • --page: Page number (default: 1)
  • --sort: Sort order: asc, desc (default: desc)
  • --format: Output format: json, csv (default: json)
  • --output: Save to file
Examples:

bash
uv run {baseDir}/scripts/usage.py --currency USD --limit 100
uv run {baseDir}/scripts/usage.py --start-date 2024-01-01 --format csv --output usage.csv


Admin: List API Keys

List all your API keys with metadata. Requires Admin API key.

bash
uv run {baseDir}/scripts/api_keys_list.py

Shows key ID, name, type, creation date, last used date, and rate limits.


Admin: Get API Key Details

Get detailed information for a specific API key. Requires Admin API key.

bash
uv run {baseDir}/scripts/api_key_get.py --id "key_abc123"

Options:

  • --id (required): API key ID to get details for

Admin: Create API Key

Create a new API key. Requires Admin API key.

bash
uv run {baseDir}/scripts/api_key_create.py --name "My New Key"

Options:

  • --name (required): Name for the new API key
  • --type: Key type: INFERENCE (default) or ADMIN
Important: The full key is only shown once on creation. Save it immediately.


Admin: Update API Key

Update an existing API key's settings. Requires Admin API key.

bash
uv run {baseDir}/scripts/api_key_update.py --id "key_abc123" --name "New Name"

Options:

  • --id (required): API key ID to update
  • --name: New name for the key

Admin: Delete API Key

Delete an API key. This action is irreversible. Requires Admin API key.

bash
uv run {baseDir}/scripts/api_key_delete.py --id "key_abc123" --force

Options:

  • --id (required): API key ID to delete
  • --force (required): Confirm deletion

Rate Limits

Get current rate limits and balance information.

bash
uv run {baseDir}/scripts/rate_limits.py

Shows requests/minute, tokens/minute, tokens/day limits and current usage.


Runtime Note

This skill uses uv run which automatically installs Python dependencies (httpx) via PEP 723 inline script metadata. No manual Python package installation required - uv handles everything.


Security Notes

  • Privacy: All inference is private—no logging, no training on your data
  • API Key: Store securely, never commit to version control
  • Admin vs Inference Keys: Admin keys can access billing/usage—use inference keys for everyday work
  • Data: Venice does not retain request/response data
  • Trust: Verify you trust Venice.ai before sending sensitive data

API Reference

EndpointDescriptionResponse
/image/generateFull image generationJSON with base64 images
/images/generationsOpenAI-compatible generationJSON with base64
/image/upscaleImage upscaling with enhancementBinary PNG
/image/editAI image editingBinary PNG
/image/background-removeBackground removalBinary PNG (transparent)
/audio/speechText-to-speechBinary audio
/audio/transcriptionsSpeech-to-textJSON with text
/embeddingsVector embeddingsJSON
/video/queueQueue video generationJSON with queue_id
/video/retrieveRetrieve completed videoBinary MP4 or JSON status
/modelsList available modelsJSON
/charactersList character personasJSON
/billing/balanceCheck account balanceJSON (Admin key)
/billing/usageView usage historyJSON (Admin key)
/api_keysList API keysJSON (Admin key)
/api_keys/{id}Get/Update/Delete API keyJSON (Admin key)
/api_keys/rate_limitsGet rate limits & balancesJSON
Full API docs: docs.venice.ai

Installation

Terminal bash

openclaw install venice-api-kit
    
Copied!

💻Code Examples

}

.txt
---

## Image Generation

Generate images using Venice's image models. Returns base64 image data.

uv run {baseDir}/scripts/image_generate.py --prompt "a serene mountain landscape at sunset"

uv-run-basedirscriptsimagegeneratepy---prompt-a-serene-mountain-landscape-at-sunset.txt
**Options:**

- `--prompt` (required): Description of the image (max 7500 chars, model-dependent)
- `--output`: Output filename (default: auto-generated timestamp)
- `--model`: Model ID (default: `flux-2-max`)
- `--size`: Image size: `1024x1024`, `1536x1024`, `1024x1536`, `1792x1024`, `1024x1792` (default: `1024x1024`)
- `--style-id`: Style preset ID (use `--list-styles` to see available)
- `--negative-prompt`: What to avoid in the image
- `--seed`: Seed for reproducible generation

**List available styles:**

uv run {baseDir}/scripts/image_generate.py --list-styles

uv-run-basedirscriptsimagegeneratepy---list-styles.txt
---

## Image Upscaling

Upscale images 1-4x with optional AI enhancement. Returns binary PNG.

uv run {baseDir}/scripts/image_upscale.py --image input.png --scale 2

uv-run-basedirscriptsimageupscalepy---image-inputpng---scale-2.txt
**Options:**

- `--image` (required): Input image path or URL
- `--output`: Output filename (default: `upscaled-{timestamp}.png`)
- `--scale`: Scale factor 1-4 (default: `2`). Scale of 1 requires `--enhance`
- `--enhance`: Enable AI enhancement during upscaling
- `--enhance-creativity`: How much AI can change (0-1, higher = more creative)
- `--enhance-prompt`: Style to apply (e.g., "gold", "marble", "cinematic")
- `--replication`: Preserve original lines/noise (0-1, higher = less hallucination)

**Example with enhancement:**

uv run {baseDir}/scripts/image_upscale.py --image photo.png --scale 2 --enhance --enhance-prompt "cinematic lighting"

uv-run-basedirscriptsimageupscalepy---image-photopng---scale-2---enhance---enhance-prompt-cinematic-lighting.txt
---

## Image Editing

Edit images with AI using text prompts. Returns binary PNG.

uv run {baseDir}/scripts/image_edit.py --image photo.png --prompt "add sunglasses"

uv-run-basedirscriptsimageeditpy---image-photopng---prompt-add-sunglasses.txt
**Options:**

- `--image` (required): Input image path or URL
- `--prompt` (required): Edit instructions (e.g., "remove the tree", "change sky to sunset")
- `--output`: Output filename (default: `edited-{timestamp}.png`)
- `--model`: Edit model (default: `qwen-edit`). Available: `qwen-edit`, `flux-2-max-edit`, `gpt-image-1-5-edit`, `nano-banana-pro-edit`, `seedream-v4-edit`
- `--aspect-ratio`: Output aspect ratio: `auto`, `1:1`, `3:2`, `16:9`, `21:9`, `9:16`, `2:3`, `3:4`

---

## Background Removal

Remove backgrounds from images. Returns binary PNG with transparency.

uv run {baseDir}/scripts/image_background_remove.py --image photo.png

uv-run-basedirscriptsimagebackgroundremovepy---image-photopng.txt
**Options:**

- `--image` (required): Input image path or URL
- `--output`: Output filename (default: `no-background-{timestamp}.png`)

---

## Text-to-Speech

Convert text to speech with multiple voices and formats. Returns binary audio.

uv run {baseDir}/scripts/audio_speech.py --text "Hello, welcome to Venice AI"

uv-run-basedirscriptsaudiospeechpy---text-hello-welcome-to-venice-ai.txt
**Options:**

- `--text` (required): Text to convert (max 4096 characters)
- `--output`: Output filename (default: `speech-{timestamp}.{format}`)
- `--voice`: Voice ID (default: `af_nicole`)
- `--model`: TTS model (default: `tts-kokoro`)
- `--speed`: Speed multiplier 0.25-4.0 (default: `1.0`)
- `--format`: Audio format: `mp3`, `opus`, `aac`, `flac`, `wav`, `pcm` (default: `mp3`)
- `--streaming`: Stream audio sentence by sentence

**Available voices:**

- American Female: `af_alloy`, `af_aoede`, `af_bella`, `af_heart`, `af_jadzia`, `af_jessica`, `af_kore`, `af_nicole`, `af_nova`, `af_river`, `af_sarah`, `af_sky`
- American Male: `am_adam`, `am_echo`, `am_eric`
- British Female: `bf_emma`, `bf_isabella`, `bf_alice`
- British Male: `bm_george`, `bm_lewis`, `bm_daniel`

---

## Audio Transcription

Transcribe audio files to text using Whisper-based speech recognition.

uv run {baseDir}/scripts/transcribe.py --file audio.mp3

uv-run-basedirscriptstranscribepy---file-audiomp3.txt
**Options:**

- `--file` (required): Audio file to transcribe (WAV, MP3, FLAC, M4A, AAC)
- `--output`: Save transcription to file
- `--model`: ASR model (default: `openai/whisper-large-v3`)
- `--format`: Output format: `json` or `text` (default: `json`)
- `--timestamps`: Include word/segment timestamps
- `--language`: Language hint (ISO 639-1: en, es, fr, etc.)

---

## Embeddings

Generate vector embeddings for RAG applications.

uv run {baseDir}/scripts/embeddings.py --text "Your text to embed"

uv-run-basedirscriptsembeddingspy---text-your-text-to-embed.txt
**Options:**

- `--text`: Text to embed (use this OR `--file`)
- `--file`: Read text from file
- `--output`: Save embeddings to JSON file
- `--model`: Embedding model (default: `text-embedding-3-small`)

---

## Video Generation

Generate videos from text prompts. Some models require a reference image. Async with polling.

**Text-to-video:**

Tags

#coding_agents-and-ides #api #script

Quick Info

Category Development
Model Claude 3.5
Complexity One-Click
Author sabrinaaquino
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

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openclaw install venice-api-kit