docs: standardize LlamaBot naming convention in documentation

- Correct the casing of 'LLaMaBot' to 'LlamaBot' throughout the index.md documentation
- Update installation and configuration instructions for clarity
- Separate API provider configuration instructions into subsections for OpenAI and Mistral

This change enhances the consistency of the product name and improves the readability of the setup process for different API providers.

Author: ericmjl

docs/index.md

@@ -1,13 +1,13 @@
-# LLaMaBot: A Pythonic bot interface to LLMs
+# LlamaBot: A Pythonic bot interface to LLMs
 
-LLaMaBot implements a Pythonic interface to LLMs,
+LlamaBot implements a Pythonic interface to LLMs,
 making it much easier to experiment with LLMs in a Jupyter notebook
 and build Python apps that utilize LLMs.
-All models supported by [LiteLLM](https://github.com/BerriAI/litellm) are supported by LLaMaBot.
+All models supported by [LiteLLM](https://github.com/BerriAI/litellm) are supported by LlamaBot.
 
-## Install LLaMaBot
+## Install LlamaBot
 
-To install LLaMaBot:
+To install LlamaBot:
 
 ```python
 pip install llamabot
@@ -23,20 +23,27 @@ Then follow the instructions below.
 
 ### Option 2: Use an API provider
 
-Obtain an OpenAI API key, then configure LlamaBot to use the API key by running:
+#### OpenAI
+
+If you have an OpenAI API key, then configure LlamaBot to use the API key by running:
 
 ```bash
-llamabot configure api-key mistral # or openai or any other provider
+export OPENAI_API_KEY="sk-your1api2key3goes4here"
 ```
 
-By default, this will store your API key in `$HOME/.llamabot/.llamabotrc`.
-The API key will then be accessible by the environment variable `{PROVIDER_NAME_UPPERCASE}_API_KEY`.
+#### Mistral
+
+If you have a Mistral API key, then configure LlamaBot to use the API key by running:
+
+```bash
+export MISTRAL_API_KEY="your-api-key-goes-here"
+```
 
 ## How to use
 
 ### SimpleBot
 
-The simplest use case of LLaMaBot
+The simplest use case of LlamaBot
 is to create a `SimpleBot` that keeps no record of chat history.
 This is effectively the same as a _stateless function_
 that you program with natural language instructions rather than code.