Skip to main content

llm wrappers for multimodal architectures team

Project description

mmar-llm

Library to access different LLM's via common API:

  • GigaChat
  • OpenRouter
  • ..

Usage

Create llm_config.json with llm-endpoints:

{
  "default_endpoint_key": "endpoint_key",
  "warmup": true,
  "wait_seconds_on_llm_retry": [1, 2, 4, 4, 4],
  "endpoints": [
    {
      "key": "endpoint_key",
      "caption": "GigaChat MAX 2",
      "descriptor": "gigachat",
      "args": {
		"authorization_key": "MDAwMDAwMDAtMDAwMC0wMDAwLTAwMDAtMDAwMDAwMDAwMDAwOjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMA=="
      }
    },
	...
  ]
}

Create llm-hub:

from pathlib import Path
from types import SimpleNamespace

from mmar_llm import LLMConfig, LLMHub


def create_llm_hub(llm_config_path: str, tmp_path: str | None = None):
    llm_config = LLMConfig.model_validate_json(Path(llm_config_path).read_text())
    llm_hub_config = SimpleNamespace(llm=llm_config, files_dir=tmp_path)
    llm_hub = LLMHub(llm_hub_config)
    return llm_hub

lh = create_llm_hub('/path/to/llm_config.json')
print(lh.get_response(request='What is your name?'))

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mmar_llm-2.0.13.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mmar_llm-2.0.13-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file mmar_llm-2.0.13.tar.gz.

File metadata

  • Download URL: mmar_llm-2.0.13.tar.gz
  • Upload date:
  • Size: 12.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.31

File hashes

Hashes for mmar_llm-2.0.13.tar.gz
Algorithm Hash digest
SHA256 936a26b05cd495b98bcf70f3a96b2830d40abdf39a9ac4605ba657825755f590
MD5 2b72bb4863ba7e725276ef45045162aa
BLAKE2b-256 2a64180a024fb755fc6a21265fc62c1fb5112009459b3b67a8f59e666663c4bf

See more details on using hashes here.

File details

Details for the file mmar_llm-2.0.13-py3-none-any.whl.

File metadata

  • Download URL: mmar_llm-2.0.13-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.31

File hashes

Hashes for mmar_llm-2.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 2bbd23ec0bc1d9cacaa5890190f9bf11d6a2553cb9cc71bb18509b6802d6eb72
MD5 83f1daff5a4b6ef1a1fa8381b268c9f0
BLAKE2b-256 29517a6e821840a3f654dc8827c35af041d6d864cae188bf8b751d56014ae4d5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page