Changes in version 0.1.4 (2026-02-15)                  

New Features

  - AWS Bedrock Integration Added first-class support for provider =
    "bedrock" using AWS SigV4 request signing and the Bedrock Converse
    API. New AWS parameters in call_llm() include aws_region,
    aws_access_key_id, aws_secret_access_key, and aws_session_token.

  - Azure OpenAI Integration Added provider = "azure_openai" with
    deployment-based endpoint routing and api-key authentication. New
    Azure OpenAI parameters in call_llm() include azure_endpoint and
    azure_api_version.

  - Azure AI Foundry Integration Added provider = "azure_foundry" with
    support for either api-key or bearer token authentication. New
    Foundry parameters in call_llm() include azure_foundry_endpoint,
    azure_foundry_api_version, and azure_foundry_token.

  - Model Catalog Expansion list_models() now supports both Azure
    providers and Bedrock. list_models("all") includes the expanded
    provider set.

Improvements

  - Provider-specific guidance Error messages now provide more precise
    credential hints for AWS Bedrock, Azure OpenAI, and Azure AI
    Foundry.

  - Tests and documentation Added test coverage for Bedrock, Azure
    OpenAI, and Azure AI Foundry provider paths, and updated generated
    Rd documentation accordingly.

                 Changes in version 0.1.3 (2025-08-19)                  

New Features

  - Google Gemini Integration chat_llm() now speaks to Gemini via
    Google’s OpenAI-compatible Chat Completions API
    (…/v1beta/openai/chat/completions). The default model is
    gemini-2.0-flash, and new helpers (get_gemini_models(), "gemini"
    option in list_models()) make catalog discovery a one-liner.
    ([Google AI for Developers][1], [Google Developers Blog][2])

  - xAI Grok Integration Added first-class support for Grok through the
    endpoint https://api.x.ai/v1/chat/completions. The default model is
    grok-3-latest. You also get get_grok_models() plus a "grok" flag in
    list_models() for painless switching. ([xAI Docs][3],
    [docs.typingmind.com][4])

  - Model Catalog Expansion list_models("all") now aggregates catalogs
    from eight providers—OpenAI, Groq, Anthropic, DeepSeek, DashScope,
    GitHub, Gemini, and Grok—so you can inspect every available model
    in a single call.

                 Changes in version 0.1.2 (2025-05-20)                  

New Features

  - DeepSeek Integration
    chat_llm() now supports DeepSeek as a backend provider. This expands
    the range of available language models and increases flexibility for
    users selecting different inference engines.

  - Alibaba DashScope Integration
    You can now use models from Alibaba Cloud’s Model Studio
    (DashScope) via OpenAI-compatible endpoints. This allows users in
    mainland China and beyond to easily integrate powerful Qwen-series
    models (like qwen-plus, qwen-turbo, and others) using the same
    chat_llm() interface.

  - GitHub Copilot-Compatible Model Integration
    You can now use models hosted through GitHub Copilot-compatible
    endpoints. This allows seamless integration with custom-hosted or
    proxy-accessible models, making it easier to experiment with private
    or specialized deployments.

  - Model Catalog Access
    chat_llm() now supports listing all available models across all
    supported providers. This makes it easier to discover and compare
    model options before selecting one for your workflow.