Minor additions to documentation

- Intro to supported models

README.md

@@ -34,6 +34,10 @@ The library's architecture emphasizes extensibility and transparency, avoiding t
 
 `freeact` executes all code actions within [`ipybox`](https://gradion-ai.github.io/ipybox/), a secure execution environment built on IPython and Docker that can also be deployed locally. This ensures safe execution of dynamically generated code while maintaining full access to the Python ecosystem. Combined with its lightweight and extensible architecture, `freeact` provides a robust foundation for building adaptable AI agents that can tackle real-world challenges requiring dynamic problem-solving approaches.
 
+## Supported models
+
+In addition to the models we [evaluated](#evaluation), `freeact` also supports any model from any provider that is compatible with the [OpenAI Python SDK](https://github.com/openai/openai-python), including open models deployed locally on [ollama](https://ollama.com/) or [TGI](https://huggingface.co/docs/text-generation-inference/index), for example. See [Model integration](https://gradion-ai.github.io/freeact/models/#model-integration) for details.
+
 ## Quickstart
 
 Install `freeact` using pip:

docs/models.md

@@ -1,5 +1,7 @@
 # Supported models
 
+In addition to the models we evaluated, `freeact` also supports any model from any provider that is compatible with the [OpenAI Python SDK](https://github.com/openai/openai-python), including open models deployed locally on [ollama](https://ollama.com/) or [TGI](https://huggingface.co/docs/text-generation-inference/index), for example. See [Model integration](#model-integration) for details.
+
 ## Evaluated models
 
 The following models have been [evaluated](evaluation.md) with `freeact`: