文档处理实战:启用 PDF 工具做多页文档提取与问答
问题/场景:长 PDF 需要快速提取结构化信息并交给模型分析。前置条件:模型支持 Anthropic/Google 原生 PDF 或配置了提取回退;并设置 `agents.defaults.pdfModel`、`pdfMaxBytesMb`、`pdfMaxPages`。实施步骤:配置 PDF 模型与阈值 → 上传样例文档 → 执行分析提示词 → 根据页数/体积调优。关键配置:`agents.defaults.pdfModel`、`pdfMaxBytesMb`、`pdfMaxPages`。验证方法:超限文档被正确拦截,合规文档能稳定产出引用明确的摘要。风险与边界:扫描件 OCR 质量受源文件影响(需验证)。来源归因:v2026.3.2-beta.1 Release Notes。
GITHUBDiscovered 2026-03-04Author openclaw
Prerequisites
- PDF tool is available in your OpenClaw build (v2026.3.2-beta.1+).
- A compatible provider/model is configured for PDF analysis.
Steps
- Set default PDF model and conservative page/size limits in config.
- Run a small known PDF through the tool to validate extraction quality.
- Prompt for structured output (sections, key facts, cited page ranges).
- Increase `pdfMaxPages` gradually and monitor latency/token impact.
- Document provider-specific fallback behavior for unsupported PDFs.
Commands
openclaw gateway statusopenclaw gateway restartVerify
Expected sections are extracted with page-level traceability, and oversized PDFs are rejected with clear errors.
Caveats
- Scanned or image-heavy PDFs may require additional OCR quality checks(需验证).
- Large-page documents can increase token cost quickly; keep strict limits by default.
Source attribution
This tip is aggregated from community/public sources and preserved with attribution.
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