AI AGENT SKILLS

Bohrium PDF Parser

一个面向 Content 场景的 Agent 技能。原始说明:Parse PDF documents via open.bohrium.com. Use when: user asks about extracting text, tables, charts, formulas, or molecules from PDF files on Bohrium, submit...

SKILL.md

SKILL.md


name: bohrium-pdf-parser
description: "Parse PDF documents via open.bohrium.com. Use when: user asks about extracting text, tables, charts, formulas, or molecules from PDF files on Bohrium, submitting PDFs by URL or file upload. NOT for: file management, dataset management, or knowledge base operations."


SKILL: Bohrium PDF Parser

Overview

Parse PDF documents using the open.bohrium.com PDF parsing service. Extract text, tables, charts, formulas, and molecular structures from PDFs. Two submission methods:

  • URL submission — provide a PDF download link (e.g. arXiv link)
  • File upload — upload a local PDF file

No CLI support — all operations use the HTTP API.

Authentication

ACCESS_KEY is read from the OpenClaw config ~/.openclaw/openclaw.json:

"bohrium-pdf-parser": {
  "enabled": true,
  "apiKey": "YOUR_ACCESS_KEY",
  "env": {
    "ACCESS_KEY": "YOUR_ACCESS_KEY"
  }
}

OpenClaw automatically injects env.ACCESS_KEY into the runtime.

Common Code Template

import os, time, requests

AK = os.environ.get("ACCESS_KEY", "")
BASE = "https://open.bohrium.com/openapi/v1/parse"
HEADERS = {"accessKey": AK}
HEADERS_JSON = {**HEADERS, "Content-Type": "application/json"}

Parsing Workflow

1. Submit PDF (URL or file upload) → get token
2. Poll result with token → complete when status == "success"

Synchronous mode (sync=true) blocks until parsing completes but does not include content in the response — you still need get-result to retrieve it. Asynchronous mode (sync=false, default) requires polling get-result until status is success.


URL Submission

r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": False,
    "textual": True,
    "table": True,
    "molecule": True,
    "chart": True,
    "figure": False,
    "expression": True,
    "equation": True,
    "pages": [0],           # 0-indexed, omit to parse all pages
    "timeout": 1800
})
data = r.json()
token = data["token"]
print(f"Token: {token}, Status: {data['status']}")
# Token: 57d12c5a-..., Status: undefined

Response Fields:

| Field | Description |
|-------|-------------|
| token | Task identifier for querying results |
| status | Initial status is undefined |
| created_time | Creation time |
| time_dict | Per-stage timing (only download_pdf at this point) |


File Upload

from pathlib import Path

pdf_path = Path("./paper.pdf")
with open(pdf_path, "rb") as f:
    r = requests.post(f"{BASE}/trigger-file-async",
        headers=HEADERS,       # No Content-Type; requests handles multipart automatically
        files={"file": (pdf_path.name, f, "application/pdf")},
        data={
            "sync": "false",
            "textual": "true",
            "table": "true",
            "molecule": "true",
            "chart": "true",
            "figure": "false",
            "expression": "true",
            "equation": "true",
            "pages": 0,         # multipart only accepts a single integer
            "timeout": 1800
        })
token = r.json()["token"]

Important: pages in multipart/form-data only accepts a single integer (e.g. 0), not a JSON array [0], or you'll get an int_parsing error. In JSON request bodies, arrays like [0, 1, 2] are supported.


Query Parse Result

r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
    "token": token,
    "content": True,        # Return extracted text
    "objects": False,        # Return extracted objects (tables, figures, etc.)
    "pages_dict": True       # Return per-page results
})
data = r.json()
print(f"Status: {data['status']}, Content length: {len(data.get('content', ''))}")

Response Fields:

| Field | Description |
|-------|-------------|
| status | success / undefined (processing) / failed |
| token | Task identifier |
| content | Extracted text (LaTeX markup format) |
| pages_dict | Per-page result dictionary |
| lang | Detected language (en / zh etc.) |
| proc_page / total_page | Processed / total pages |
| proc_textual / total_textual | Processed / total text blocks |
| proc_table / total_table | Processed / total tables |
| proc_mol / total_mol | Processed / total molecules |
| proc_equa / total_equa | Processed / total equations |
| time_dict | Per-stage timing details |
| cost | Cost |


Full Async Polling Example

import os, time, requests

AK = os.environ.get("ACCESS_KEY", "")
BASE = "https://open.bohrium.com/openapi/v1/parse"
HEADERS = {"accessKey": AK}
HEADERS_JSON = {**HEADERS, "Content-Type": "application/json"}

# 1. Submit
r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": False,
    "textual": True, "table": True, "molecule": False,
    "chart": False, "figure": False,
    "expression": True, "equation": True,
    "pages": [0],
    "timeout": 1800
})
submit = r.json()
if submit.get("code"):
    print(f"Submit failed: {submit.get('message')}")
    exit(1)

token = submit["token"]
print(f"Submitted, token={token}")

# 2. Poll for result
for attempt in range(30):
    time.sleep(2)
    r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
        "token": token,
        "content": True,
        "objects": False,
        "pages_dict": False
    })
    result = r.json()
    status = result.get("status", "")
    print(f"  [{attempt+1}] status={status}")

    if status == "success":
        print(f"Done! Content length: {len(result.get('content', ''))}")
        print(f"Language: {result.get('lang')}, Cost: {result.get('cost')}")
        print(f"Preview: {result.get('content', '')[:200]}")
        break
    elif status == "failed":
        print(f"Failed: {result.get('description', 'unknown error')}")
        break
else:
    print("Timeout: task did not complete within 60 seconds")

Synchronous Mode Example

Synchronous mode (sync=true) blocks until parsing completes, so no polling is needed. However, the response does not include the content field — you still need to call get-result to retrieve the parsed content:

# 1. Synchronous submit — blocks until parsing completes
r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": True,           # Wait for completion
    "textual": True, "table": True,
    "molecule": False, "chart": False, "figure": False,
    "expression": True, "equation": True,
    "pages": [0],
    "timeout": 1800
})
submit = r.json()
token = submit["token"]
# submit["status"] == "success", but no content field

# 2. Retrieve content
r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
    "token": token,
    "content": True, "objects": False, "pages_dict": False
})
result = r.json()
print(f"Content: {result['content'][:200]}")

Parse Options Reference

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| sync | bool | false | true blocks until complete (still need get-result for content), false requires polling |
| textual | bool | - | Extract text content |
| table | bool | - | Extract tables |
| molecule | bool | - | Extract molecular structures |
| chart | bool | - | Extract charts |
| figure | bool | - | Extract figures/images |
| expression | bool | - | Extract math expressions |
| equation | bool | - | Extract equations |
| pages | list[int] | all | Pages to parse (0-indexed) |
| timeout | int | - | Timeout in seconds |


curl Examples

AK="YOUR_ACCESS_KEY"
BASE="https://open.bohrium.com/openapi/v1/parse"

# URL submission
curl -s -X POST "$BASE/trigger-url-async" \
  -H "Content-Type: application/json" \
  -H "accessKey: $AK" \
  -d '{"url":"https://arxiv.org/pdf/2107.06922","sync":false,"textual":true,"table":true,"molecule":false,"chart":false,"figure":false,"expression":true,"equation":true,"pages":[0],"timeout":1800}'

# File upload
curl -s -X POST "$BASE/trigger-file-async" \
  -H "accessKey: $AK" \
  -F "file=@paper.pdf" \
  -F "sync=false" -F "textual=true" -F "table=true" \
  -F "pages=0"

# Query result
curl -s -X POST "$BASE/get-result" \
  -H "Content-Type: application/json" \
  -H "accessKey: $AK" \
  -d '{"token":"YOUR_TOKEN","content":true,"objects":false,"pages_dict":true}'

Troubleshooting

| Problem | Cause | Solution |
|---------|-------|----------|
| AccessKey is required | Missing or incorrect accessKey | Header name is accessKey (case-sensitive), not Authorization: Bearer |
| int_parsing error | pages sent as JSON array in file upload | Use a single integer for pages in multipart form |
| status: undefined | Async task not yet complete | Poll get-result again; recommended interval: 2 seconds |
| Connection timeout | Domain/network issue | Use open.bohrium.com; test connectivity via curl -I https://open.bohrium.com/openapi |
| Content has LaTeX markup | Normal behavior | Results use \begin{title} etc. to mark structure; post-process to extract plain text |
| Large file parses slowly | Many pages or complex content | Use pages parameter to limit scope |