LLM plugin of various deep research implementations
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llm_deep_research-0.0.3.tar.gz.
File metadata
- Download URL: llm_deep_research-0.0.3.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4ea5b2b6976a9a2b4169d4f8d6bea92ed57c2d97c3ff6306c03be3c2e3dcf68
|
|
| MD5 |
e3fd90cff2c859d80be034b83f6a973d
|
|
| BLAKE2b-256 |
1728667cdb152ac47fa14313189324d23df9042a72f970edc13fb9bc752ee0ad
|
Provenance
The following attestation bundles were made for llm_deep_research-0.0.3.tar.gz:
Publisher:
publish.yml on ftnext/llm-deep-research
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
llm_deep_research-0.0.3.tar.gz -
Subject digest:
d4ea5b2b6976a9a2b4169d4f8d6bea92ed57c2d97c3ff6306c03be3c2e3dcf68 - Sigstore transparency entry: 727371559
- Sigstore integration time:
-
Permalink:
ftnext/llm-deep-research@e0ac467be4f7a2cf45a82e2184e77dd61d24c5ee -
Branch / Tag:
refs/tags/0.0.3 - Owner: https://github.com/ftnext
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@e0ac467be4f7a2cf45a82e2184e77dd61d24c5ee -
Trigger Event:
release
-
Statement type:
File details
Details for the file llm_deep_research-0.0.3-py3-none-any.whl.
File metadata
- Download URL: llm_deep_research-0.0.3-py3-none-any.whl
- Upload date:
- Size: 8.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
87b296d0f2de43968adb62a4fdb3ae8e14b2bf5e481f69e0050a760dd25d7608
|
|
| MD5 |
c9b8be51cb8060e3689cddf5c9dde73b
|
|
| BLAKE2b-256 |
c4b30d18198e7e5877af6311a83799dcdc22752c71d02f4cecb9b9fa261c12ce
|
Provenance
The following attestation bundles were made for llm_deep_research-0.0.3-py3-none-any.whl:
Publisher:
publish.yml on ftnext/llm-deep-research
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
llm_deep_research-0.0.3-py3-none-any.whl -
Subject digest:
87b296d0f2de43968adb62a4fdb3ae8e14b2bf5e481f69e0050a760dd25d7608 - Sigstore transparency entry: 727371564
- Sigstore integration time:
-
Permalink:
ftnext/llm-deep-research@e0ac467be4f7a2cf45a82e2184e77dd61d24c5ee -
Branch / Tag:
refs/tags/0.0.3 - Owner: https://github.com/ftnext
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@e0ac467be4f7a2cf45a82e2184e77dd61d24c5ee -
Trigger Event:
release
-
Statement type: