Updated readme

README.md

@@ -1,4 +1,5 @@
 # clai: command line artificial intelligence
+
 [![Go Report Card](https://goreportcard.com/badge/github.com/baalimago/clai)](https://goreportcard.com/report/github.com/baalimago/clai)
 ![Wakatime](https://wakatime.com/badge/user/018cc8d2-3fd9-47ef-81dc-e4ad645d5f34/project/018e07e1-bd22-4077-a213-c16290d3db52.svg)
 
@@ -10,43 +11,49 @@ The multi-vendor aspect enables easy comparisons between different models, also
 ![clai_in_action_example](./img/example.gif "Example of clai in action")
 
 ## Features
-* Prompting with input from:
-    * Piped data
-    * Globbed file input
-    * Args
-* Conversations (with same input options as above)
-* Tools calling [with easily forkable + extendable tools](./internal/tools/)
-* LLM Profiles - Preconfigured prompts with specific tools
-* Photo generation*
-* Human readable / robot readable output
-* 100% go standard library (except for /x/net)
-
+
+- Prompting with input from:
+  - Piped data
+  - Globbed file input
+  - Args
+- Conversations (with same input options as above)
+- Tools calling [with easily forkable + extendable tools](./internal/tools/)
+- LLM Profiles - Preconfigured prompts with specific tools
+- Photo generation\*
+- Human readable / robot readable output
+- 100% go standard library (except for /x/net)
+
 \* Only with dall-e for the moment.
 Nag on me to implement modellabs and I'll do it.
+
 ## Prerequisites
+
 - **Go:** Install Go from [here](https://golang.org/doc/install).
 - **OpenAI API Key:** Set the `OPENAI_API_KEY` env var to your [OpenAI API key](https://platform.openai.com/docs/quickstart/step-2-set-up-your-api-key). [Text models](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo), [photo models](https://platform.openai.com/docs/models/dall-e).
 - **Anthropic API Key:** Set the `ANTHROPIC_API_KEY` env var to your [Anthropic API key](https://console.anthropic.com/login?returnTo=%2F). [Text models](https://docs.anthropic.com/claude/docs/models-overview#model-recommendations).
 - **Mistral API Key:** Set the `MISTRAL_API_KEY` env var to your [Mistral API key](https://console.mistral.ai/). [Text models](https://docs.mistral.ai/getting-started/models/)
+- **Novita AI:** Set the `NOVITA_API_KEY` env var to your [Novita API key](https://novita.ai/settings?utm_source=github_clai&utm_medium=github_readme&utm_campaign=link#key-management). Target the model using novita prefix, like this: `novita:<target>`, where `<target>` is one of the [text models](https://novita.ai/model-api/product/llm-api?utm_source=github_clai&utm_medium=github_readme&utm_campaign=link).
 - **Ollama:** Start your ollama server (defaults to localhost:11434). Target using model format `ollama:<target>`, where `<target>` is optional (defaults to llama3). Reconfigure url with `clai s -> 1 -> <ollama-model-conf>`
 - **Glow**(Optional): Install [Glow](https://github.com/charmbracelet/glow) for formatted markdown output when querying text responses.
-- **Novita AI:**(Optional) Set the `NOVITA_API_KEY` env var to your [Novita API key](https://novita.ai/settings?utm_source=github_clai&utm_medium=github_readme&utm_campaign=link#key-management). [Text models](https://novita.ai/model-api/product/llm-api?utm_source=github_clai&utm_medium=github_readme&utm_campaign=link).
 
 Note that you can only use the models that you have bought an API key for.
 
 Most text and photo based models within the respective vendors are supported, see [model configurations](./EXAMPLES.md#Models) for how to swap.
 
 ## Get started
+
 ```bash
 go install github.com/baalimago/clai@latest
 ```
 
 You may also use the setup script:
+
 ```bash
 curl -fsSL https://raw.githubusercontent.com/baalimago/clai/main/setup.sh | sh
 ```
 
 Either look at `clai help` or the [examples](./EXAMPLES.md) for how to use `clai`.
 
 ## Honorable mentions
+
 This project was originally inspired by: [https://github.com/Licheam/zsh-ask](https://github.com/Licheam/zsh-ask), many thanks to Licheam for the inspiration.