haive.core.models.llm
=====================

.. py:module:: haive.core.models.llm

.. autoapi-nested-parse::

   Haive LLM Module.

   This module provides comprehensive abstractions and implementations for working with
   Large Language Models (LLMs) from various providers. It includes configuration classes,
   provider-specific implementations, and utilities for model metadata.

   The module supports a wide range of LLM providers including OpenAI, Anthropic, Google,
   Azure, Mistral, and many others, with a consistent interface for configuration and use.

   Key Components:
       - Base Classes: Abstract base classes for LLM configurations
       - Provider Types: Enumeration of supported LLM providers
       - Provider Implementations: Provider-specific configuration classes
       - Metadata: Utilities for accessing model capabilities and context windows

   Typical usage example:

   .. rubric:: Examples

   >>> from haive.core.models.llm.base import OpenAILLMConfig
   >>>
   >>> # Configure an LLM
   >>> config = OpenAILLMConfig(
   >>> model="gpt-4",
   >>> cache_enabled=True
   >>> )
   >>>
   >>> # Instantiate the LLM
   >>> llm = config.instantiate()
   >>>
   >>> # Generate text
   >>> response = llm.generate("Explain quantum computing")



Submodules
----------

.. toctree::
   :maxdepth: 1

   /autoapi/haive/core/models/llm/base/index
   /autoapi/haive/core/models/llm/export_llm_models_to_csv/index
   /autoapi/haive/core/models/llm/factory/index
   /autoapi/haive/core/models/llm/provider_types/index
   /autoapi/haive/core/models/llm/providers/index
   /autoapi/haive/core/models/llm/rate_limiting_mixin/index