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ollambda

Simple Flask based API server to proxy ollama calls to a more performant backend (such as llama.cpp)

Why should I use this package?

Honestly, you probably shouldn't. Not only is it currently nowhere near completion, there are plenty of alternatives.

Ollambda mostly exists as a personal learning tool.

But if you still want to, then continue on to see usage instructions and more info.

If you find a bug, feel free to open an issue, or make a pull request. Contributions are welcome!

How to Use

Installation

To install ollambda, either install using pip install ollambda or clone this repository and use pip install .

venv

Venv usage is encouraged, the simplest way to manage this is to use uv:

cd ollambda
uv venv .venv
source .venv/bin/activate
uv pip install .

Configuration

Currently ollambda proxies requests to an upstream llama.cpp server. The address is configured via environment variables or a YAML config file at ~/.ollambda/config.yaml:

Setting Config key Default Description
Host HOST 0.0.0.0 Host for bind address.
Port PORT 5000 Port for bind address.
Proxy IP PROXY_IP 127.0.0.1 Upstream LLM Server address.
Proxy port PROXY_PORT 8080 Upstream LLM Server port.
Log Dir LOG_DIR ~/.ollambda/logs Directory to store logs.

[!tip] All config values can be overridden with environment vars. For example, to override HOST, simply set OLLAMBDA_HOST=<your host>

[!tip] You can also create a config.yaml file in the working dir where ollambda is running, this file will be preferred.

[!note] Ollambda uses ConfigLite for its config backend, which I also develop.

Running the server

Start with the bundled command (uses Gunicorn internally):

ollambda

This spawns one worker per CPU core and binds to 0.0.0.0:5000 by default.

For manual control, you can also invoke Gunicorn directly:

gunicorn ollambda:app -w 4 -b 0.0.0.0:5000

ollama API coverage

Method Endpoint Description Implemented?
POST /api/generate Generate a completion (streaming or non-streaming) N
POST /api/chat Generate a chat completion (with tool calling support) Y
POST /api/create Create a model from another model, GGUF, or safetensors N (no plans)
GET /api/tags List locally available models Y
POST /api/show Show model information (details, modelfile, template, etc.) Y
POST /api/copy Copy a model to a new name N
DELETE /api/delete Delete a model Y
POST /api/pull Download a model from the Ollama library N
POST /api/push Upload a model to a model library N (no plans)
POST /api/embed Generate embeddings from a model Y
GET /api/ps List models currently loaded in memory Y
GET /api/version Retrieve the Ollama server version Y
HEAD /api/blobs/:digest Check if a file blob exists on the server N (no plans)
POST /api/blobs/:digest Push a file blob to the server N (no plans)

[!IMPORTANT] Current "implementation" may not be fully complete and API aligned.

[!NOTE] Source: https://github.com/ollama/ollama/blob/main/docs/api.md

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