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Documentation Index

Fetch the complete documentation index at: https://docs.galadriel.com/llms.txt

Use this file to discover all available pages before exploring further.

Models serve as the core engine of Agents, and the Galadriel framework supports multiple LLM providers to offer flexibility and scalability. The following LLM providers are currently supported:
  • LiteLLMModel
  • HfApiModel
  • TransformersModel
  • AzureOpenAIServerModel
In the sections below, we provide details on each supported provider and, more importantly, how to use them.

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LiteLLMModel

The LiteLLMModel leverages LiteLLM to support over 100 LLMs from various providers. Here’s how to use it: 
from galadriel.core_agent import LiteLLMModel

messages = [
  {"role": "user", "content": [{"type": "text", "text": "Hello, how are you?"}]}
]

model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2, max_tokens=10)
print(model(messages))

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HfApiModel

This model interact with Hugging Face’s Inference API. Here’s how to use it: 
from galadriel.core_agent import HfApiModel

messages = [{"role": "user", "content": "Explain quantum mechanics in simple terms."}]

model = HfApiModel(
    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
    token=os.getenv("HF_TOKEN"),
    max_tokens=5000,
)
print(model(messages, stop_sequences=["END"]))

​
TransformersModel

The TransformersModel allows you to load and run Hugging Face models locally using the transformers library. Ensure that both transformers and torch are installed before use. 
from galadriel.core_agent import TransformersModel

model = TransformersModel(
    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
    device="cuda",
    max_new_tokens=5000,
)
messages = [{"role": "user", "content": "Explain quantum mechanics in simple terms."}]
response = model(messages, stop_sequences=["END"])
print(response)

​
AzureOpenAIServerModel

The AzureOpenAIServerModel enables integration with any Azure OpenAI deployment. Below is an example of how to configure and use it: 
import os
from galadriel.core_agent import AzureOpenAIServerModel

model = AzureOpenAIServerModel(
    model_id = os.environ.get("AZURE_OPENAI_MODEL"),
    azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"),
    api_key=os.environ.get("AZURE_OPENAI_API_KEY"),
    api_version=os.environ.get("OPENAI_API_VERSION")
)

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Conclusion

Galadriel provides seamless integration with multiple LLM providers, allowing you to choose the best model for your needs—whether it’s via LiteLLM for broad model access, Hugging Face’s API for hosted inference, local execution with Transformers, or Azure OpenAI for enterprise deployments. By leveraging these options, you can build powerful, flexible AI agents tailored to your specific requirements.