llm-documentcloud
LLM integrations for DocumentCloud
Installation
Install this plugin in the same environment as LLM.
llm install llm-documentcloud
Usage
Use the dc: fragment to load documents hosted on DocumentCloud.
# run a basic prompt
llm -f dc:71072 'Summarize this document'
# extract tabular data
llm -f dc:25507045 'Extract the tables in this document as CSV'
Documents can be fetched based on ID alone, ID and slug or full URL. The following are equivalent:
llm -f dc:25507045 'Extract the tables in this document as CSV'
llm -f dc:25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico 'Extract the tables in this document as CSV'
llm -f dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/ 'Extract the tables in this document as CSV'
In each case, a DocumentCloud API client will fetch the document's full text and store it as a fragment for llm.
Using file attachments instead of text
DocumentCloud stores each document in several ways: a PDF file, its extracted text and each page as an image. You can feed each of these into llm using mode parameters:
# use the original PDF as an attachment
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=pdf'
# use each page image as an attachment
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=images'
# this is the same, since "grid" is the mode name used on the documentcloud frontend
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=grid'
# these are all equivalent and will extract full text
llm -f dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=document'
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=text'
Getting specific pages
Sometimes you only want one page. DocumentCloud can link to specific pages, and those URLs can be used here:
# extract text, but only for page 2
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=document#document/p2'
Note that pages are 1-indexed. You can also get images:
# attach the image for page 2
llm -f 'dc:https://www.documentcloud.org/documents/25507045-20250118-ufc-intuit-dome-athlete-pay-and-weights-c-amico/?mode=images#document/p2'
There isn't a way to get a single page out of a PDF, so passing mode=pdf will set page to None.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment using uv:
cd llm-documentcloud
uv sync
To install the dependencies and test dependencies, include the test extras:
uv sync --extra test
To run the tests:
uv run pytest
Metadata
Release files for llm-documentcloud 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_documentcloud-0.1.1.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_documentcloud-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.6 kB
Release files / llm_documentcloud-0.1.1.tar.gz
| Download URL | llm_documentcloud-0.1.1.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3fdaf30250ff679b084293f0cac9e536cb51c6ec404055e84ee9d2a5b390ed6d
|
|
BLAKE2b-256 checksum How to use checksums |
c66e4a5480ef60f6993461b4d46a3e41651dd86fd747bc54adf71b3322063bd5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on May 30, 2025.
Transparency logRelease files / llm_documentcloud-0.1.1-py3-none-any.whl
| Download URL | llm_documentcloud-0.1.1-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ab008d6904545ced2c4b7df57c47b600ff67066003e7ebed2a2d662c682eb602
|
|
BLAKE2b-256 checksum How to use checksums |
feb8f62395beb37a0af88e2d511d71a373a5bc7596038e0341141783d37a02db
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 30, 2025.
Transparency log