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Official Python SDK for the Knowhere document parsing API

Project description

Knowhere Python SDK

PyPI version

Official Python SDK for the Knowhere document parsing API.

Installation

pip install knowhere-python-sdk

Or with uv:

uv add knowhere-python-sdk

Usage

import knowhere

client = knowhere.Knowhere(api_key="sk_...")

result = client.parse(url="https://example.com/report.pdf")

print(result.statistics.total_chunks)
print(result.full_markdown[:200])

for chunk in result.text_chunks:
    print(chunk.content[:80])

While you can provide an api_key keyword argument, we recommend using python-dotenv to add KNOWHERE_API_KEY="sk_..." to your .env file so that your API key is not stored in source control.

Parse a local file

from pathlib import Path

result = client.parse(
    file=Path("report.pdf"),
    parsing_params={"model": "advanced", "ocr_enabled": True},
)

print(result.manifest.source_file_name)  # "report.pdf"
print(len(result.chunks))                # 152

Access different chunk types

result = client.parse(url="https://example.com/report.pdf")

# Text chunks
for chunk in result.text_chunks:
    print(chunk.keywords)
    print(chunk.summary)

# Image chunks (raw bytes loaded from ZIP)
for chunk in result.image_chunks:
    print(chunk.file_path)
    print(len(chunk.data))       # bytes
    chunk.save("./output/")      # writes image to disk

# Table chunks (HTML loaded from ZIP)
for chunk in result.table_chunks:
    print(chunk.file_path)
    print(chunk.html[:100])

Save all results to disk

result = client.parse(file=Path("report.pdf"))
result.save("./output/report/")

Async usage

import asyncio
import knowhere

async def main():
    async with knowhere.AsyncKnowhere(api_key="sk_...") as client:
        result = await client.parse(url="https://example.com/report.pdf")
        print(result.statistics.total_chunks)

        for chunk in result.text_chunks:
            print(chunk.summary)

asyncio.run(main())

Step-by-step control

For granular control over the parsing workflow, use the jobs resource directly:

from pathlib import Path

# Step 1: Create a parsing job
job = client.jobs.create(
    source_type="file",
    file_name="report.pdf",
    parsing_params={"model": "advanced", "ocr_enabled": True},
)

# Step 2: Upload file to presigned URL
client.jobs.upload(job, file=Path("report.pdf"))

# Step 3: Poll until done (adaptive backoff)
job_result = client.jobs.wait(job.job_id, poll_interval=10.0, poll_timeout=1800.0)

# Step 4: Download and parse results
result = client.jobs.load(job_result)
print(result.statistics)

Handling errors

All errors inherit from knowhere.KnowhereError.

import knowhere

try:
    result = client.parse(url="https://example.com/report.pdf")
except knowhere.AuthenticationError:
    print("Invalid API key")
except knowhere.APIStatusError as e:
    print(f"{e.status_code}: {e.message}")

Configuration

The SDK reads configuration from constructor arguments, environment variables, or defaults (in that priority order):

Variable Description Default
KNOWHERE_API_KEY API key (required)
KNOWHERE_BASE_URL API base URL https://api.knowhereto.ai
KNOWHERE_LOG_LEVEL Log level WARNING
# Uses environment variables automatically
client = knowhere.Knowhere()

# Or configure explicitly
client = knowhere.Knowhere(
    api_key="sk_...",
    base_url="https://api.knowhereto.ai",
    timeout=30.0,           # HTTP request timeout (default: 60s)
    upload_timeout=300.0,   # File upload timeout (default: 600s)
    max_retries=3,          # Max retry attempts (default: 5)
)

Retries

Connection errors, 429 Rate Limit, and >=500 Internal errors are automatically retried with exponential backoff.

client = knowhere.Knowhere(
    api_key="sk_...",
    max_retries=3,  # default is 5
)

Determining the installed version

import knowhere
print(knowhere.__version__)

Versioning

This package follows Semantic Versioning.

We publish stable releases to PyPI. To install the latest unreleased changes directly from the repository: https://github.com/Ontos-AI/knowhere-python-sdk

Requirements

License

MIT

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