llm-deep-research
Installation
Install this plugin in the same environment as LLM.
llm install llm-deep-research
Usage
GenAI Processors' research
https://github.com/google-gemini/genai-processors/tree/main/examples/research
export LLM_GEMINI_KEY=your_api_key_here
llm -m genai-processors-research 'Research the best things about owning dalmatians!'
Also supports --async.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-deep-research
Now create a new virtual environment and install the dependencies and test dependencies:
uv sync --extra test
To run the tests:
uv run pytest
1 maintainer
Release files for llm-deep-research 0.0.3
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_deep_research-0.0.3.tar.gz | 8.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_deep_research-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / llm_deep_research-0.0.3.tar.gz
| Download URL | llm_deep_research-0.0.3.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d4ea5b2b6976a9a2b4169d4f8d6bea92ed57c2d97c3ff6306c03be3c2e3dcf68
|
|
BLAKE2b-256 checksum How to use checksums |
1728667cdb152ac47fa14313189324d23df9042a72f970edc13fb9bc752ee0ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 26, 2025.
Transparency logRelease files / llm_deep_research-0.0.3-py3-none-any.whl
| Download URL | llm_deep_research-0.0.3-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
87b296d0f2de43968adb62a4fdb3ae8e14b2bf5e481f69e0050a760dd25d7608
|
|
BLAKE2b-256 checksum How to use checksums |
c4b30d18198e7e5877af6311a83799dcdc22752c71d02f4cecb9b9fa261c12ce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 26, 2025.
Transparency log
