venice-audio-music: Workflow Automation for AI Agents | OpenAgentSkill

Overview

Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.

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Venice Music / Async Audio

Music (and long-form voice) generation is asynchronous. The flow is:

POST /api/v1/audio/quote      → price in USD
POST /api/v1/audio/queue      → { queue_id }      (funds reserved)
POST /api/v1/audio/retrieve   → status or binary audio
POST /api/v1/audio/complete   → finalize & delete media

For short text-to-speech, use the synchronous venice-audio-speech endpoint instead.

Use when

You need songs, jingles, score, soundscape, or long narration.
The selected model uses duration-based or character-based pricing and must be priced before submission.
The expected generation time is long enough (> 20 s) that sync call would time out.

Lifecycle

1. `POST /audio/quote` — price it first

curl https://api.venice.ai/api/v1/audio/quote \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "elevenlabs-music",
    "duration_seconds": 60
  }'

Response: {"quote": 0.48} (USD).

Field	Notes
`model`	Required. Music/audio model from `GET /models?type=music`.
`duration_seconds`	Integer or numeric string. Only if the model reports duration metadata.
`character_count`	Required for models with `pricing.per_thousand_characters` (long narration).

2. `POST /audio/queue` — enqueue

curl https://api.venice.ai/api/v1/audio/queue \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "elevenlabs-music",
    "prompt": "Uplifting indie-folk acoustic track, 120 BPM, major key.",
    "lyrics_prompt": "Verse 1: Walking through the city lights...\nChorus: We are the dreamers...",
    "duration_seconds": 60,
    "voice": "Aria",
    "language_code": "en",
    "speed": 1.0,
    "force_instrumental": false,
    "lyrics_optimizer": false
  }'

Response: { "model": "...", "queue_id": "uuid" }.

Field	Notes
`model`	Required.
`prompt`	Required. Describe genre, mood, tempo, instruments. Length caps in `/models`.
`lyrics_prompt`	Lyrics. Required when `lyrics_required=true`, rejected when `supports_lyrics=false`.
`duration_seconds`	Integer or string. Model-dependent.
`force_instrumental`	Only when `supports_force_instrumental=true`.
`lyrics_optimizer`	Auto-generate lyrics from `prompt`. Requires `supports_lyrics_optimizer=true`. `lyrics_prompt` must be empty.
`voice`	For voice-enabled models. See `voices` + `default_voice` in `/models`.
`language_code`	ISO 639-1. Requires `supports_language_code=true`.
`speed`	Requires `supports_speed=true`. Use model's `min_speed`/`max_speed`.

3. `POST /audio/retrieve` — poll status / download

curl https://api.venice.ai/api/v1/audio/retrieve \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"elevenlabs-music","queue_id":"..."}' \
  --output track.mp3

If still processing: JSON {"status":"PROCESSING","average_execution_time":...,"execution_duration":...}.
If done: binary audio body (audio/mpeg or similar). Save the bytes.
Set delete_media_on_completion: true to skip step 4.

Poll every 2–5 s; use average_execution_time (ms, P80) as a guideline for your first poll delay.

4. `POST /audio/complete` — cleanup

curl https://api.venice.ai/api/v1/audio/complete \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"elevenlabs-music","queue_id":"..."}'

Removes the media from Venice storage after you've downloaded it. Required unless you used delete_media_on_completion: true on retrieve.

Full loop (TypeScript)

const base = 'https://api.venice.ai/api/v1'
const headers = {
  Authorization: `Bearer ${process.env.VENICE_API_KEY}`,
  'Content-Type': 'application/json',
}

async function generateTrack() {
  // 1. Quote
  const quote = await fetch(`${base}/audio/quote`, {
    method: 'POST', headers,
    body: JSON.stringify({ model: 'elevenlabs-music', duration_seconds: 60 }),
  }).then(r => r.json())
  console.log('price:', quote.quote)

  // 2. Queue
  const { queue_id, model } = await fetch(`${base}/audio/queue`, {
    method: 'POST', headers,
    body: JSON.stringify({
      model: 'elevenlabs-music',
      prompt: 'Uplifting indie-folk acoustic track, 120 BPM.',
      duration_seconds: 60,
      force_instrumental: true,
    }),
  }).then(r => r.json())

  // 3. Poll
  while (true) {
    const res = await fetch(`${base}/audio/retrieve`, {
      method: 'POST', headers,
      body: JSON.stringify({ model, queue_id }),
    })
    const ct = res.headers.get('content-type') ?? ''
    if (ct.startsWith('audio/')) {
      const buf = Buffer.from(await res.arrayBuffer())
      await fs.writeFile('track.mp3', buf)
      break
    }
    const { status } = await res.json()
    if (status !== 'PROCESSING') throw new Error(`unexpected ${status}`)
    await new Promise(r => setTimeout(r, 3000))
  }

  // 4. Complete
  await fetch(`${base}/audio/complete`, {
    method: 'POST', headers,
    body: JSON.stringify({ model, queue_id }),
  })
}

Capability probing

Before calling /audio/queue, inspect the model entry returned by GET /models?type=music — each row's model_spec exposes (among other fields):

supports_lyrics, lyrics_required, supports_lyrics_optimizer
supports_force_instrumental, supports_speed, supports_language_code
voices[], default_voice
min_prompt_length, prompt_character_limit
min_speed, max_speed
pricing.generation (per-job), pricing.per_second (per second generated), pricing.per_thousand_characters (character-priced narration), or pricing.durations (duration-tiered map: { "<tier>": { usd, diem, min_seconds, max_seconds } }) — each model uses one of these shapes

Errors

Code	Meaning
`400`	Wrong params (lyrics on an instrumental-only model, `duration_seconds` outside allowed range, voice not in model's list).
`401`	Auth / Pro-only model.
`402`	Insufficient balance. Bearer → `INSUFFICIENT_BALANCE`; x402 → `PAYMENT_REQUIRED`.
`404`	On `retrieve`/`complete`: unknown / expired `queue_id`.
`422`	Content policy violation. `ContentViolationError` may include `suggested_prompt`.
`429`	Rate limited.
`500` / `503`	Inference or capacity issue.

Gotchas

Quote before queue — music is pay-per-second; unexpected duration_seconds can blow through a budget. Use /audio/quote to gate the queue call against your available balance (/billing/balance or /x402/balance/...).
queue_id is UUIDv4. Store it alongside the model — both are required for every subsequent call.
Media URLs are ephemeral. Download during retrieve and store yourself; after complete, Venice deletes the file.
lyrics_optimizer: true and a non-empty lyrics_prompt is a 400.
Poll rate: don't hammer /retrieve. 2–5 s is plenty — the job queue is the same regardless of poll frequency.
execution_duration from the retrieve status is cumulative (ms since enqueue); average_execution_time is the P80 expected total.

View source ↗

File metadata

name: venice-audio-music
description: Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.

View original text

---
name: venice-audio-music
description: Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.
---

# Venice Music / Async Audio

Music (and long-form voice) generation is **asynchronous**. The flow is:

```
POST /api/v1/audio/quote      → price in USD
POST /api/v1/audio/queue      → { queue_id }      (funds reserved)
POST /api/v1/audio/retrieve   → status or binary audio
POST /api/v1/audio/complete   → finalize & delete media
```

For short text-to-speech, use the synchronous [`venice-audio-speech`](../venice-audio-speech/SKILL.md) endpoint instead.

## Use when

- You need songs, jingles, score, soundscape, or long narration.
- The selected model uses **duration-based** or **character-based** pricing and must be priced before submission.
- The expected generation time is long enough (> 20 s) that sync call would time out.

## Lifecycle

### 1. `POST /audio/quote` — price it first

```bash
curl https://api.venice.ai/api/v1/audio/quote \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "elevenlabs-music",
    "duration_seconds": 60
  }'
```

Response: `{"quote": 0.48}` (USD).

| Field | Notes |
|---|---|
| `model` | Required. Music/audio model from `GET /models?type=music`. |
| `duration_seconds` | Integer or numeric string. Only if the model reports duration metadata. |
| `character_count` | Required for models with `pricing.per_thousand_characters` (long narration). |

### 2. `POST /audio/queue` — enqueue

```bash
curl https://api.venice.ai/api/v1/audio/queue \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "elevenlabs-music",
    "prompt": "Uplifting indie-folk acoustic track, 120 BPM, major key.",
    "lyrics_prompt": "Verse 1: Walking through the city lights...\nChorus: We are the dreamers...",
    "duration_seconds": 60,
    "voice": "Aria",
    "language_code": "en",
    "speed": 1.0,
    "force_instrumental": false,
    "lyrics_optimizer": false
  }'
```

Response: `{ "model": "...", "queue_id": "uuid" }`.

| Field | Notes |
|---|---|
| `model` | Required. |
| `prompt` | Required. Describe genre, mood, tempo, instruments. Length caps in `/models`. |
| `lyrics_prompt` | Lyrics. **Required** when `lyrics_required=true`, **rejected** when `supports_lyrics=false`. |
| `duration_seconds` | Integer or string. Model-dependent. |
| `force_instrumental` | Only when `supports_force_instrumental=true`. |
| `lyrics_optimizer` | Auto-generate lyrics from `prompt`. Requires `supports_lyrics_optimizer=true`. `lyrics_prompt` must be empty. |
| `voice` | For voice-enabled models. See `voices` + `default_voice` in `/models`. |
| `language_code` | ISO 639-1. Requires `supports_language_code=true`. |
| `speed` | Requires `supports_speed=true`. Use model's `min_speed`/`max_speed`. |

### 3. `POST /audio/retrieve` — poll status / download

```bash
curl https://api.venice.ai/api/v1/audio/retrieve \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"elevenlabs-music","queue_id":"..."}' \
  --output track.mp3
```

- If still processing: JSON `{"status":"PROCESSING","average_execution_time":...,"execution_duration":...}`.
- If done: binary audio body (`audio/mpeg` or similar). Save the bytes.
- Set `delete_media_on_completion: true` to skip step 4.

Poll every 2–5 s; use `average_execution_time` (ms, P80) as a guideline for your first poll delay.

### 4. `POST /audio/complete` — cleanup

```bash
curl https://api.venice.ai/api/v1/audio/complete \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"elevenlabs-music","queue_id":"..."}'
```

Removes the media from Venice storage after you've downloaded it. Required unless you used `delete_media_on_completion: true` on retrieve.

## Full loop (TypeScript)

```ts
const base = 'https://api.venice.ai/api/v1'
const headers = {
  Authorization: `Bearer ${process.env.VENICE_API_KEY}`,
  'Content-Type': 'application/json',
}

async function generateTrack() {
  // 1. Quote
  const quote = await fetch(`${base}/audio/quote`, {
    method: 'POST', headers,
    body: JSON.stringify({ model: 'elevenlabs-music', duration_seconds: 60 }),
  }).then(r => r.json())
  console.log('price:', quote.quote)

  // 2. Queue
  const { queue_id, model } = await fetch(`${base}/audio/queue`, {
    method: 'POST', headers,
    body: JSON.stringify({
      model: 'elevenlabs-music',
      prompt: 'Uplifting indie-folk acoustic track, 120 BPM.',
      duration_seconds: 60,
      force_instrumental: true,
    }),
  }).then(r => r.json())

  // 3. Poll
  while (true) {
    const res = await fetch(`${base}/audio/retrieve`, {
      method: 'POST', headers,
      body: JSON.stringify({ model, queue_id }),
    })
    const ct = res.headers.get('content-type') ?? ''
    if (ct.startsWith('audio/')) {
      const buf = Buffer.from(await res.arrayBuffer())
      await fs.writeFile('track.mp3', buf)
      break
    }
    const { status } = await res.json()
    if (status !== 'PROCESSING') throw new Error(`unexpected ${status}`)
    await new Promise(r => setTimeout(r, 3000))
  }

  // 4. Complete
  await fetch(`${base}/audio/complete`, {
    method: 'POST', headers,
    body: JSON.stringify({ model, queue_id }),
  })
}
```

## Capability probing

Before calling `/audio/queue`, inspect the model entry returned by `GET /models?type=music` — each row's `model_spec` exposes (among other fields):

- `supports_lyrics`, `lyrics_required`, `supports_lyrics_optimizer`
- `supports_force_instrumental`, `supports_speed`, `supports_language_code`
- `voices[]`, `default_voice`
- `min_prompt_length`, `prompt_character_limit`
- `min_speed`, `max_speed`
- `pricing.generation` (per-job), `pricing.per_second` (per second generated), `pricing.per_thousand_characters` (character-priced narration), or `pricing.durations` (duration-tiered map: `{ "<tier>": { usd, diem, min_seconds, max_seconds } }`) — each model uses one of these shapes

## Errors

| Code | Meaning |
|---|---|
| `400` | Wrong params (lyrics on an instrumental-only model, `duration_seconds` outside allowed range, voice not in model's list). |
| `401` | Auth / Pro-only model. |
| `402` | Insufficient balance. Bearer → `INSUFFICIENT_BALANCE`; x402 → `PAYMENT_REQUIRED`. |
| `404` | On `retrieve`/`complete`: unknown / expired `queue_id`. |
| `422` | Content policy violation. `ContentViolationError` may include `suggested_prompt`. |
| `429` | Rate limited. |
| `500` / `503` | Inference or capacity issue. |

## Gotchas

- **Quote before queue** — music is pay-per-second; unexpected `duration_seconds` can blow through a budget. Use `/audio/quote` to gate the `queue` call against your available balance (`/billing/balance` or `/x402/balance/...`).
- `queue_id` is UUIDv4. Store it alongside the `model` — both are required for every subsequent call.
- Media URLs are ephemeral. Download during `retrieve` and store yourself; after `complete`, Venice deletes the file.
- `lyrics_optimizer: true` and a non-empty `lyrics_prompt` is a `400`.
- Poll rate: don't hammer `/retrieve`. 2–5 s is plenty — the job queue is the same regardless of poll frequency.
- `execution_duration` from the retrieve status is cumulative (ms since enqueue); `average_execution_time` is the P80 expected total.

Review the source

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 139 stars, 20 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source repository: veniceai/skills
License: MIT
Version: 1.0.0
Last GitHub push: Aug 31, 2026
Registry updated: Sep 6, 2026
Instruction path: skills/venice-audio-music/SKILL.md @ be69bebc4703

Version reported in registry metadata; check source releases before relying on it.

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    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 78,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 139 stars, 20 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 68,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Multimodal media",
    "maintenance": "17d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision."
  ],
  "agent_contract": {
    "task_input": "Use venice-audio-music in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 73/100 Strong shortlist",
      "Audit: 78/100 Needs review",
      "Safety: 34/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "veniceai-venice-audio-music (venice-audio-music)",
      "install_command": "npx skills add veniceai/skills --skill venice-audio-music",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "veniceai-venice-audio-music",
      "task": "Use venice-audio-music in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/veniceai-venice-audio-music",
    "api": "https://www.openagentskill.com/api/agent/skills/veniceai-venice-audio-music",
    "audit": "https://www.openagentskill.com/skills/veniceai-venice-audio-music/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=veniceai-venice-audio-music&task=Use%20venice-audio-music%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20venice-audio-music%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20venice-audio-music%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/veniceai-venice-audio-music/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/veniceai-venice-audio-music"
  }
}

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Creator: veniceai
Source: veniceai/skills
Indexed by: OpenAgentSkill community index

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