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venice-augment

价格未确认★ 139 GitHub Stars目录更新于 · 2026年9月6日agent-skill

概览

Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/DOCX/XLSX/plain text, multipart, up to 25MB, JSON or plain text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit), and POST /augment/search (Brave ZDR or anonymized Google; structured title/url/content/date results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.

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以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

Venice Augment (text parse / scrape / search)

Three lightweight helpers for agent pipelines that need document text, web pages, or search results without spinning up your own crawler.

Endpoint	Input	Output	Privacy
`POST /augment/text-parser`	`multipart/form-data` file (PDF / DOCX / XLSX / plain text, ≤ 25 MB)	`{ text, tokens }` JSON or plain text	In-memory only, zero retention
`POST /augment/scrape`	`{ url }`	`{ url, content (markdown), format: "markdown" }`	Zero retention
`POST /augment/search`	`{ query, limit?, search_provider? }`	`{ query, results: [{ title, url, content, date }] }`	Brave ZDR / Google anonymized; zero retention

All three accept Bearer API key or SIWE (x402 wallet). All three are priced dynamically ($0.001–$10.00).

`POST /augment/text-parser` — extract text from documents

Request

Always multipart/form-data:

Field	Notes
`file`	Required. PDF, DOCX, XLSX, or plain text. Max 25 MB.
`response_format`	`json` (default) or `text`.

curl -X POST https://api.venice.ai/api/v1/augment/text-parser \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -F "file=@./contract.pdf" \
  -F "response_format=json"

Response

response_format=json:

{
  "text": "…extracted plaintext…",
  "tokens": 3821
}

response_format=text — raw plaintext body (Content-Type: text/plain).

Tips

tokens is the count of the extracted text — use it to pre-budget a downstream chat request.
Scanned image PDFs are not OCR'd. Run images through a vision model via /chat/completions instead.
Documents are processed in memory only and content is not retained after the response. (Operational metadata like request IDs and error traces may still be logged for debugging — this is a no-content-retention guarantee, not a zero-log guarantee.)

`POST /augment/scrape` — URL → markdown

Request

{ "url": "https://example.com/article" }

curl -X POST https://api.venice.ai/api/v1/augment/scrape \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Response

{
  "url": "https://example.com",
  "content": "# Example Domain\n\nThis domain is for use in …",
  "format": "markdown"
}

Tips

Blocked sites — X/Twitter and Reddit reject automated access and return 400 immediately. Use enable_x_search or enable_web_search on /chat/completions for those.
Some sites may return a partial body. Verify with the returned content length before piping into a model.
Use together with /chat/completions: scrape → feed markdown into messages → summarize.
For bulk scraping, issue requests in parallel; each is billed independently.

`POST /augment/search` — web search

Request

Field	Notes
`query`	1–400 chars. Required.
`limit`	1–20. Default `10`.
`search_provider`	`"brave"` (default, ZDR) or `"google"` (anonymized).

curl -X POST https://api.venice.ai/api/v1/augment/search \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "venice ai api pricing",
    "limit": 5,
    "search_provider": "brave"
  }'

Response

{
  "query": "venice ai api pricing",
  "results": [
    {
      "title": "Pricing — Venice.ai",
      "url": "https://venice.ai/pricing",
      "content": "Venice offers per-token pricing …",
      "date": "2026-04-10"
    }
  ]
}

Providers

Provider	Retention	Bias / filter
`brave` (default)	Zero Data Retention — Brave never stores queries.	Safesearch defaults, Brave Index.
`google`	Anonymized — proxied through Venice so Google doesn't see you; Venice doesn't log queries.	Google ranking.

Tips

Pair with /chat/completions + venice_parameters.enable_web_citations to generate cited answers. See venice-chat.
For "search + read" pipelines, feed results[*].url into /augment/scrape in parallel.
query is validated as 1–400 chars. Anything longer is rejected (400 INVALID_REQUEST), not truncated.

Errors

Status	Cause
`400`	Missing/oversized file, unsupported format, URL on a blocklist (X, Reddit), empty query, query > 400 chars.
`401`	Missing/invalid Bearer or SIWE.
`402`	Insufficient balance. x402 wallets receive the `PAYMENT-REQUIRED` header with base64 top-up instructions; Bearer users get `INSUFFICIENT_BALANCE`.
`403`	Unauthorized access.
`429`	Rate limit tripped. Back off with jitter.
`500`	Upstream fetch / parse failure. Safe to retry.

Response headers

X-Balance-Remaining — remaining x402 credit (x402 auth only).
Content-Encoding — present when Accept-Encoding: gzip, br is sent (text-parser + scrape outputs compress well).

Patterns

Document QA — Upload PDF via /augment/text-parser, pass text into a /chat/completions system message, ask questions.
Research agent — /augment/search → parallel /augment/scrape → /chat/completions with all markdown bodies.
Data extraction — XLSX via text-parser surfaces tab-delimited cell data you can then pipe to a model with response_format: { type: "json_schema", ... }.
Citation pipeline — Use /augment/search to pick sources, then give the chat model venice_parameters.enable_web_citations: true for inline [n] marks.

查看来源 ↗

文件元数据

name: venice-augment
description: Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/DOCX/XLSX/plain text, multipart, up to 25MB, JSON or plain text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit), and POST /augment/search (Brave ZDR or anonymized Google; structured title/url/content/date results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.

查看原始文本

---
name: venice-augment
description: Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/DOCX/XLSX/plain text, multipart, up to 25MB, JSON or plain text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit), and POST /augment/search (Brave ZDR or anonymized Google; structured title/url/content/date results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.
---

# Venice Augment (text parse / scrape / search)

Three lightweight helpers for agent pipelines that need document text, web pages, or search results without spinning up your own crawler.

| Endpoint | Input | Output | Privacy |
|---|---|---|---|
| `POST /augment/text-parser` | `multipart/form-data` file (PDF / DOCX / XLSX / plain text, ≤ 25 MB) | `{ text, tokens }` JSON or plain text | In-memory only, zero retention |
| `POST /augment/scrape` | `{ url }` | `{ url, content (markdown), format: "markdown" }` | Zero retention |
| `POST /augment/search` | `{ query, limit?, search_provider? }` | `{ query, results: [{ title, url, content, date }] }` | Brave ZDR / Google anonymized; zero retention |

All three accept **Bearer API key** or **SIWE** (x402 wallet). All three are priced dynamically (`$0.001–$10.00`).

## `POST /augment/text-parser` — extract text from documents

### Request

Always `multipart/form-data`:

| Field | Notes |
|---|---|
| `file` | Required. PDF, DOCX, XLSX, or plain text. Max **25 MB**. |
| `response_format` | `json` (default) or `text`. |

```bash
curl -X POST https://api.venice.ai/api/v1/augment/text-parser \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -F "file=@./contract.pdf" \
  -F "response_format=json"
```

### Response

`response_format=json`:

```json
{
  "text": "…extracted plaintext…",
  "tokens": 3821
}
```

`response_format=text` — raw plaintext body (`Content-Type: text/plain`).

### Tips

- `tokens` is the count of the extracted text — use it to pre-budget a downstream chat request.
- Scanned image PDFs are not OCR'd. Run images through a vision model via `/chat/completions` instead.
- Documents are processed **in memory only** and **content is not retained** after the response. (Operational metadata like request IDs and error traces may still be logged for debugging — this is a no-content-retention guarantee, not a zero-log guarantee.)

## `POST /augment/scrape` — URL → markdown

### Request

```json
{ "url": "https://example.com/article" }
```

```bash
curl -X POST https://api.venice.ai/api/v1/augment/scrape \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'
```

### Response

```json
{
  "url": "https://example.com",
  "content": "# Example Domain\n\nThis domain is for use in …",
  "format": "markdown"
}
```

### Tips

- **Blocked sites** — X/Twitter and Reddit reject automated access and return `400` immediately. Use `enable_x_search` or `enable_web_search` on `/chat/completions` for those.
- Some sites may return a partial body. Verify with the returned `content` length before piping into a model.
- Use together with `/chat/completions`: scrape → feed markdown into messages → summarize.
- For bulk scraping, issue requests in parallel; each is billed independently.

## `POST /augment/search` — web search

### Request

| Field | Notes |
|---|---|
| `query` | 1–400 chars. Required. |
| `limit` | 1–20. Default `10`. |
| `search_provider` | `"brave"` (default, ZDR) or `"google"` (anonymized). |

```bash
curl -X POST https://api.venice.ai/api/v1/augment/search \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "venice ai api pricing",
    "limit": 5,
    "search_provider": "brave"
  }'
```

### Response

```json
{
  "query": "venice ai api pricing",
  "results": [
    {
      "title": "Pricing — Venice.ai",
      "url": "https://venice.ai/pricing",
      "content": "Venice offers per-token pricing …",
      "date": "2026-04-10"
    }
  ]
}
```

### Providers

| Provider | Retention | Bias / filter |
|---|---|---|
| `brave` (default) | Zero Data Retention — Brave never stores queries. | Safesearch defaults, Brave Index. |
| `google` | Anonymized — proxied through Venice so Google doesn't see you; Venice doesn't log queries. | Google ranking. |

### Tips

- Pair with `/chat/completions` + `venice_parameters.enable_web_citations` to generate cited answers. See [`venice-chat`](../venice-chat/SKILL.md).
- For "search + read" pipelines, feed `results[*].url` into `/augment/scrape` in parallel.
- `query` is validated as 1–400 chars. Anything longer is **rejected** (400 `INVALID_REQUEST`), not truncated.

## Errors

| Status | Cause |
|---|---|
| `400` | Missing/oversized file, unsupported format, URL on a blocklist (X, Reddit), empty query, query > 400 chars. |
| `401` | Missing/invalid Bearer or SIWE. |
| `402` | Insufficient balance. x402 wallets receive the `PAYMENT-REQUIRED` header with base64 top-up instructions; Bearer users get `INSUFFICIENT_BALANCE`. |
| `403` | Unauthorized access. |
| `429` | Rate limit tripped. Back off with jitter. |
| `500` | Upstream fetch / parse failure. Safe to retry. |

## Response headers

- `X-Balance-Remaining` — remaining x402 credit (x402 auth only).
- `Content-Encoding` — present when `Accept-Encoding: gzip, br` is sent (text-parser + scrape outputs compress well).

## Patterns

- **Document QA** — Upload PDF via `/augment/text-parser`, pass `text` into a `/chat/completions` system message, ask questions.
- **Research agent** — `/augment/search` → parallel `/augment/scrape` → `/chat/completions` with all markdown bodies.
- **Data extraction** — XLSX via text-parser surfaces tab-delimited cell data you can then pipe to a model with `response_format: { type: "json_schema", ... }`.
- **Citation pipeline** — Use `/augment/search` to pick sources, then give the chat model `venice_parameters.enable_web_citations: true` for inline `[n]` marks.

查看并核实来源

获取价格与运行成本

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许可证: MIT
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已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
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

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: veniceai/skills
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年8月31日
目录更新于: 2026年9月6日
技能指令路径: skills/venice-augment/SKILL.md @ be69bebc4703

版本来自目录元数据，使用前请核实来源发布记录。

质量

65/100

有潜力

信任

63/100

仅限沙盒

审计

75/100

高风险

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
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

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

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更多详情

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      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "research",
      "agent-skill"
    ],
    "known_risks": [
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "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"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "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": 75,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "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": 65,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Document processing",
    "maintenance": "1mo since push",
    "risk": "Risky"
  },
  "alternative_skills": [
    {
      "slug": "paddlepaddle-paddleocr",
      "name": "PaddleOCR",
      "url": "https://www.openagentskill.com/skills/paddlepaddle-paddleocr",
      "stars": 83080,
      "install_command": "",
      "trust_score": 91,
      "audit_score": 91
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use venice-augment 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: 71/100 Manual review",
      "Audit: 75/100 Risky",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "veniceai-venice-augment (venice-augment)",
      "install_command": "npx skills add veniceai/skills --skill venice-augment",
      "risk_summary": "Risky; 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-augment",
      "task": "Use venice-augment 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-augment",
    "api": "https://www.openagentskill.com/api/agent/skills/veniceai-venice-augment",
    "audit": "https://www.openagentskill.com/skills/veniceai-venice-augment/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=veniceai-venice-augment&task=Use%20venice-augment%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20venice-augment%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20venice-augment%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/veniceai-venice-augment/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/veniceai-venice-augment"
  }
}

创作者工具

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此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: veniceai
来源: veniceai/skills
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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这条 Registry 收录列表归属于 veniceai，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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将证据徽章加入你的 README

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/veniceai-venice-augment?metric=listed&label=Listed)](https://www.openagentskill.com/skills/veniceai-venice-augment?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/veniceai-venice-augment?metric=trust&label=Trust)](https://www.openagentskill.com/skills/veniceai-venice-augment?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/veniceai-venice-augment?metric=audit&label=Audit)](https://www.openagentskill.com/skills/veniceai-venice-augment/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/veniceai-venice-augment?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/veniceai-venice-augment?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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概览

Venice Augment (text parse / scrape / search)

POST /augment/text-parser — extract text from documents

Request

Response

Tips

POST /augment/scrape — URL → markdown

Request

Response

Tips

POST /augment/search — web search

Request

Response

Providers

Tips

Errors

Response headers

Patterns

查看并核实来源

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从一个小任务开始

来源与使用须知

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`POST /augment/text-parser` — extract text from documents

`POST /augment/scrape` — URL → markdown

`POST /augment/search` — web search