openclaw/src/media/input-files.ts
Tyler Yust d0ac1b0195
feat: add PDF analysis tool with native provider support (#31319)
* feat: add PDF analysis tool with native provider support

New `pdf` tool for analyzing PDF documents with model-powered analysis.

Architecture:
- Native PDF path: sends raw PDF bytes directly to providers that support
  inline document input (Anthropic via DocumentBlockParam, Google Gemini
  via inlineData with application/pdf MIME type)
- Extraction fallback: for providers without native PDF support, extracts
  text via pdfjs-dist and rasterizes pages to images via @napi-rs/canvas,
  then sends through the standard vision/text completion path

Key features:
- Single PDF (`pdf` param) or multiple PDFs (`pdfs` array, up to 10)
- Page range selection (`pages` param, e.g. "1-5", "1,3,7-9")
- Model override (`model` param) and file size limits (`maxBytesMb`)
- Auto-detects provider capability and falls back gracefully
- Same security patterns as image tool (SSRF guards, sandbox support,
  local path roots, workspace-only policy)

Config (agents.defaults):
- pdfModel: primary/fallbacks (defaults to imageModel, then session model)
- pdfMaxBytesMb: max PDF file size (default: 10)
- pdfMaxPages: max pages to process (default: 20)

Model catalog:
- Extended ModelInputType to include "document" alongside "text"/"image"
- Added modelSupportsDocument() capability check

Files:
- src/agents/tools/pdf-tool.ts - main tool factory
- src/agents/tools/pdf-tool.helpers.ts - helpers (page range, config, etc.)
- src/agents/tools/pdf-native-providers.ts - direct API calls for Anthropic/Google
- src/agents/tools/pdf-tool.test.ts - 43 tests covering all paths
- Modified: model-catalog.ts, openclaw-tools.ts, config schema/types/labels/help

* fix: prepare pdf tool for merge (#31319) (thanks @tyler6204)
2026-03-01 22:39:12 -08:00

339 lines
10 KiB
TypeScript

import { fetchWithSsrFGuard } from "../infra/net/fetch-guard.js";
import type { SsrFPolicy } from "../infra/net/ssrf.js";
import { logWarn } from "../logger.js";
import { canonicalizeBase64, estimateBase64DecodedBytes } from "./base64.js";
import { extractPdfContent, type PdfExtractedImage } from "./pdf-extract.js";
import { readResponseWithLimit } from "./read-response-with-limit.js";
export type InputImageContent = PdfExtractedImage;
export type InputFileExtractResult = {
filename: string;
text?: string;
images?: InputImageContent[];
};
export type InputPdfLimits = {
maxPages: number;
maxPixels: number;
minTextChars: number;
};
export type InputFileLimits = {
allowUrl: boolean;
urlAllowlist?: string[];
allowedMimes: Set<string>;
maxBytes: number;
maxChars: number;
maxRedirects: number;
timeoutMs: number;
pdf: InputPdfLimits;
};
export type InputFileLimitsConfig = {
allowUrl?: boolean;
allowedMimes?: string[];
maxBytes?: number;
maxChars?: number;
maxRedirects?: number;
timeoutMs?: number;
pdf?: {
maxPages?: number;
maxPixels?: number;
minTextChars?: number;
};
};
export type InputImageLimits = {
allowUrl: boolean;
urlAllowlist?: string[];
allowedMimes: Set<string>;
maxBytes: number;
maxRedirects: number;
timeoutMs: number;
};
export type InputImageSource = {
type: "base64" | "url";
data?: string;
url?: string;
mediaType?: string;
};
export type InputFileSource = {
type: "base64" | "url";
data?: string;
url?: string;
mediaType?: string;
filename?: string;
};
export type InputFetchResult = {
buffer: Buffer;
mimeType: string;
contentType?: string;
};
export const DEFAULT_INPUT_IMAGE_MIMES = ["image/jpeg", "image/png", "image/gif", "image/webp"];
export const DEFAULT_INPUT_FILE_MIMES = [
"text/plain",
"text/markdown",
"text/html",
"text/csv",
"application/json",
"application/pdf",
];
export const DEFAULT_INPUT_IMAGE_MAX_BYTES = 10 * 1024 * 1024;
export const DEFAULT_INPUT_FILE_MAX_BYTES = 5 * 1024 * 1024;
export const DEFAULT_INPUT_FILE_MAX_CHARS = 200_000;
export const DEFAULT_INPUT_MAX_REDIRECTS = 3;
export const DEFAULT_INPUT_TIMEOUT_MS = 10_000;
export const DEFAULT_INPUT_PDF_MAX_PAGES = 4;
export const DEFAULT_INPUT_PDF_MAX_PIXELS = 4_000_000;
export const DEFAULT_INPUT_PDF_MIN_TEXT_CHARS = 200;
function rejectOversizedBase64Payload(params: {
data: string;
maxBytes: number;
label: "Image" | "File";
}): void {
const estimated = estimateBase64DecodedBytes(params.data);
if (estimated > params.maxBytes) {
throw new Error(
`${params.label} too large: ${estimated} bytes (limit: ${params.maxBytes} bytes)`,
);
}
}
export function normalizeMimeType(value: string | undefined): string | undefined {
if (!value) {
return undefined;
}
const [raw] = value.split(";");
const normalized = raw?.trim().toLowerCase();
return normalized || undefined;
}
export function parseContentType(value: string | undefined): {
mimeType?: string;
charset?: string;
} {
if (!value) {
return {};
}
const parts = value.split(";").map((part) => part.trim());
const mimeType = normalizeMimeType(parts[0]);
const charset = parts
.map((part) => part.match(/^charset=(.+)$/i)?.[1]?.trim())
.find((part) => part && part.length > 0);
return { mimeType, charset };
}
export function normalizeMimeList(values: string[] | undefined, fallback: string[]): Set<string> {
const input = values && values.length > 0 ? values : fallback;
return new Set(input.map((value) => normalizeMimeType(value)).filter(Boolean) as string[]);
}
export function resolveInputFileLimits(config?: InputFileLimitsConfig): InputFileLimits {
return {
allowUrl: config?.allowUrl ?? true,
allowedMimes: normalizeMimeList(config?.allowedMimes, DEFAULT_INPUT_FILE_MIMES),
maxBytes: config?.maxBytes ?? DEFAULT_INPUT_FILE_MAX_BYTES,
maxChars: config?.maxChars ?? DEFAULT_INPUT_FILE_MAX_CHARS,
maxRedirects: config?.maxRedirects ?? DEFAULT_INPUT_MAX_REDIRECTS,
timeoutMs: config?.timeoutMs ?? DEFAULT_INPUT_TIMEOUT_MS,
pdf: {
maxPages: config?.pdf?.maxPages ?? DEFAULT_INPUT_PDF_MAX_PAGES,
maxPixels: config?.pdf?.maxPixels ?? DEFAULT_INPUT_PDF_MAX_PIXELS,
minTextChars: config?.pdf?.minTextChars ?? DEFAULT_INPUT_PDF_MIN_TEXT_CHARS,
},
};
}
export async function fetchWithGuard(params: {
url: string;
maxBytes: number;
timeoutMs: number;
maxRedirects: number;
policy?: SsrFPolicy;
auditContext?: string;
}): Promise<InputFetchResult> {
const { response, release } = await fetchWithSsrFGuard({
url: params.url,
maxRedirects: params.maxRedirects,
timeoutMs: params.timeoutMs,
policy: params.policy,
auditContext: params.auditContext,
init: { headers: { "User-Agent": "OpenClaw-Gateway/1.0" } },
});
try {
if (!response.ok) {
throw new Error(`Failed to fetch: ${response.status} ${response.statusText}`);
}
const contentLength = response.headers.get("content-length");
if (contentLength) {
const size = Number(contentLength);
if (Number.isFinite(size) && size > params.maxBytes) {
throw new Error(`Content too large: ${size} bytes (limit: ${params.maxBytes} bytes)`);
}
}
const buffer = await readResponseWithLimit(response, params.maxBytes);
const contentType = response.headers.get("content-type") || undefined;
const parsed = parseContentType(contentType);
const mimeType = parsed.mimeType ?? "application/octet-stream";
return { buffer, mimeType, contentType };
} finally {
await release();
}
}
function decodeTextContent(buffer: Buffer, charset: string | undefined): string {
const encoding = charset?.trim().toLowerCase() || "utf-8";
try {
return new TextDecoder(encoding).decode(buffer);
} catch {
return new TextDecoder("utf-8").decode(buffer);
}
}
function clampText(text: string, maxChars: number): string {
if (text.length <= maxChars) {
return text;
}
return text.slice(0, maxChars);
}
export async function extractImageContentFromSource(
source: InputImageSource,
limits: InputImageLimits,
): Promise<InputImageContent> {
if (source.type === "base64") {
if (!source.data) {
throw new Error("input_image base64 source missing 'data' field");
}
rejectOversizedBase64Payload({ data: source.data, maxBytes: limits.maxBytes, label: "Image" });
const canonicalData = canonicalizeBase64(source.data);
if (!canonicalData) {
throw new Error("input_image base64 source has invalid 'data' field");
}
const mimeType = normalizeMimeType(source.mediaType) ?? "image/png";
if (!limits.allowedMimes.has(mimeType)) {
throw new Error(`Unsupported image MIME type: ${mimeType}`);
}
const buffer = Buffer.from(canonicalData, "base64");
if (buffer.byteLength > limits.maxBytes) {
throw new Error(
`Image too large: ${buffer.byteLength} bytes (limit: ${limits.maxBytes} bytes)`,
);
}
return { type: "image", data: canonicalData, mimeType };
}
if (source.type === "url" && source.url) {
if (!limits.allowUrl) {
throw new Error("input_image URL sources are disabled by config");
}
const result = await fetchWithGuard({
url: source.url,
maxBytes: limits.maxBytes,
timeoutMs: limits.timeoutMs,
maxRedirects: limits.maxRedirects,
policy: {
allowPrivateNetwork: false,
hostnameAllowlist: limits.urlAllowlist,
},
auditContext: "openresponses.input_image",
});
if (!limits.allowedMimes.has(result.mimeType)) {
throw new Error(`Unsupported image MIME type from URL: ${result.mimeType}`);
}
return { type: "image", data: result.buffer.toString("base64"), mimeType: result.mimeType };
}
throw new Error("input_image must have 'source.url' or 'source.data'");
}
export async function extractFileContentFromSource(params: {
source: InputFileSource;
limits: InputFileLimits;
}): Promise<InputFileExtractResult> {
const { source, limits } = params;
const filename = source.filename || "file";
let buffer: Buffer;
let mimeType: string | undefined;
let charset: string | undefined;
if (source.type === "base64") {
if (!source.data) {
throw new Error("input_file base64 source missing 'data' field");
}
rejectOversizedBase64Payload({ data: source.data, maxBytes: limits.maxBytes, label: "File" });
const canonicalData = canonicalizeBase64(source.data);
if (!canonicalData) {
throw new Error("input_file base64 source has invalid 'data' field");
}
const parsed = parseContentType(source.mediaType);
mimeType = parsed.mimeType;
charset = parsed.charset;
buffer = Buffer.from(canonicalData, "base64");
} else if (source.type === "url" && source.url) {
if (!limits.allowUrl) {
throw new Error("input_file URL sources are disabled by config");
}
const result = await fetchWithGuard({
url: source.url,
maxBytes: limits.maxBytes,
timeoutMs: limits.timeoutMs,
maxRedirects: limits.maxRedirects,
policy: {
allowPrivateNetwork: false,
hostnameAllowlist: limits.urlAllowlist,
},
auditContext: "openresponses.input_file",
});
const parsed = parseContentType(result.contentType);
mimeType = parsed.mimeType ?? normalizeMimeType(result.mimeType);
charset = parsed.charset;
buffer = result.buffer;
} else {
throw new Error("input_file must have 'source.url' or 'source.data'");
}
if (buffer.byteLength > limits.maxBytes) {
throw new Error(`File too large: ${buffer.byteLength} bytes (limit: ${limits.maxBytes} bytes)`);
}
if (!mimeType) {
throw new Error("input_file missing media type");
}
if (!limits.allowedMimes.has(mimeType)) {
throw new Error(`Unsupported file MIME type: ${mimeType}`);
}
if (mimeType === "application/pdf") {
const extracted = await extractPdfContent({
buffer,
maxPages: limits.pdf.maxPages,
maxPixels: limits.pdf.maxPixels,
minTextChars: limits.pdf.minTextChars,
onImageExtractionError: (err) => {
logWarn(`media: PDF image extraction skipped, ${String(err)}`);
},
});
const text = extracted.text ? clampText(extracted.text, limits.maxChars) : "";
return {
filename,
text,
images: extracted.images.length > 0 ? extracted.images : undefined,
};
}
const text = clampText(decodeTextContent(buffer, charset), limits.maxChars);
return { filename, text };
}