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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_model": "model",
  "warmup": true,
  "wait_seconds_on_llm_retry": [1, 2, 4, 4, 4],
  "endpoints": [
    {
      "key": "model",
      "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?'))

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