lange-python

Python helpers for Lange services.

The package is organized into two public domains:

  • lange.mesh contains mesh workers and plugins; its wire models live in lange.mesh.contracts.
  • lange.ai contains AI inference plugins, models, and servers; its model configuration types live in lange.ai.contracts.

Mesh Relay Worker

MeshWorker connects a local HTTP service to the Lange mesh relay and forwards public relay requests to your local target.

pip install lange-python

import asyncio
import os
import time

from lange.mesh import MeshRelayPlugin, MeshWorker

relay = MeshWorker(
    project_id=os.environ["MESH_PROJECT_ID"],
    plugins=[MeshRelayPlugin("http://localhost:3000")],
)

relay.start()

try:
    while relay.remote_relay_address is None and relay.is_alive():
        time.sleep(0.25)
    print(relay.remote_relay_address)
finally:
    asyncio.run(relay.stop())

The worker connects to wss://mesh.lange-labs.com by default and receives a public relay address for the project, such as https://my-project.mesh.lange-labs.com/.

If a mesh deployment requires bearer authentication, pass the token as api_key. Keep API keys in the environment or a local secret store instead of hardcoding them in application code.

import os

from lange.mesh import MeshRelayPlugin, MeshWorker

relay = MeshWorker(
    project_id=os.environ["MESH_PROJECT_ID"],
    plugins=[MeshRelayPlugin("http://localhost:3000")],
    api_key=os.environ["LANGE_LABS_API_KEY"],
)

The relay exposes lifecycle state for integrations:

  • remote_relay_address: public REST relay address returned by the mesh service

Stop the worker from an async context:

await relay.stop()

AI Inference Plugins

Install the backend required by the host platform, then attach one plugin per model. Default ports are assigned from 8500 in plugin order and can be overridden explicitly.

pip install "lange-python[ai-mlx]"

from lange.ai import MeshAiPlugin
from lange.ai.contracts import AiModelConfig
from lange.mesh import MeshWorker

model = AiModelConfig(
    model_name="example/model",
    model_alias="example",
    model_type="LLM",
    registration=None,
)
worker = MeshWorker(
    project_id="00000000-0000-0000-0000-000000000001",
    plugins=[MeshAiPlugin(model)],
)

Key dates

PyPI data
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  • Released:
Newer release available (0.10.0)

1 maintainer

PyPI data
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Avatar for BobbyLange from gravatar.com BobbyLange

Credits

Author: contact@robertlange.me

Requires

Python >=3.11

Provides Extra

ai-cuda ai-mlx

Classifiers

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