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Decision brief
Lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status.
Good fit when
- - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past.
- - Consider using it for educational purposes to understand older versions of web and LLM service frameworks.
Avoid when
- - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer.
- - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support.
- Pricing:
- freemium - The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing.
- Requirements:
- Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (775d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install lanarkyHow it fits your stack(3)
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Lanarky is a deprecated Python library that provides an abstraction layer to help developers build simple LLM microservices using FastAPI.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 21, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 21, 2026)
```python from lanarky import LanarkySource link
Tags
README
Installation
The library is available on PyPI and can be installed via pip:
pip install lanarky
Getting Started
Lanarky provides a powerful abstraction layer to allow developers to build simple LLM microservices in just a few lines of code.
Here's an example to build a simple microservice that uses OpenAI's ChatCompletion service:
from lanarky import Lanarky
from lanarky.adapters.openai.resources import ChatCompletionResource
from lanarky.adapters.openai.routing import OpenAIAPIRouter
app = Lanarky()
router = OpenAIAPIRouter()
@router.post("/chat")
def chat(stream: bool = True) -> ChatCompletionResource:
system = "You are a sassy assistant"
return ChatCompletionResource(stream=stream, system=system)
app.include_router(router)
Visit Getting Started for the full tutorial on building and testing your first LLM microservice with Lanarky.
License
The library is released under the MIT License.
For agents
This page has a .md twin and JSON over the API.