dronelabour-dllm
dronelabour-dllm is the Python library for building DLLM-compatible
conversational applications. It provides base classes, file-based prompt
management, and a simple LLM API for the OpenAI and Google Gen AI Python
libraries.
What it provides
- A base class for conversational applications, so developers can begin building application behaviour without first creating the surrounding base.
- File-based prompt management. Store LLM requests in prompt files and let the library prepare those requests before calling the provider API.
- A consistent local API for OpenAI and Google Gen AI calls.
How it fits in DLLM
Use dronelabour-dllm to build an application that DLLM Desktop can manage.
DLLM Desktop provides the local conversational interface and manages registered
applications, while App Hub keeps those applications running.
For a complete managed-application starting point, use
chattemplate. The
New App+ action in DLLM Desktop uses this template to create an application
that developers can extend with their preferred coding agent.
Documentation
Supported providers
The current public provider support is OpenAI and Google Gen AI. Configure the API key required by the provider you use before making LLM calls.
Project links
Status
dronelabour-dllm is currently in beta and requires Python 3.13 or later.
1 maintainer
Metadata
1 maintainer
Release files for dronelabour-dllm 1.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dronelabour_dllm-1.13.0.tar.gz | 11.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dronelabour_dllm-1.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 MB
Release files / dronelabour_dllm-1.13.0.tar.gz
| Download URL | dronelabour_dllm-1.13.0.tar.gz |
|---|---|
| Size | 11.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
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Release files / dronelabour_dllm-1.13.0-py3-none-any.whl
| Download URL | dronelabour_dllm-1.13.0-py3-none-any.whl |
|---|---|
| Size | 68.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|
