llm-claude-3 is now called llm-anthropic

Refs simonw/llm-claude-3#31

!stable-docs

docs/plugins/directory.md

@@ -21,8 +21,7 @@ These plugins can be used to interact with remotely hosted models via their API:
 
 - **[llm-mistral](https://github.com/simonw/llm-mistral)** adds support for [Mistral AI](https://mistral.ai/)'s language and embedding models.
 - **[llm-gemini](https://github.com/simonw/llm-gemini)** adds support for Google's [Gemini](https://ai.google.dev/docs) models.
-- **[llm-claude](https://github.com/tomviner/llm-claude)** by Tom Viner adds support for Claude 2.1 and Claude Instant 2.1 by Anthropic.
-- **[llm-claude-3](https://github.com/simonw/llm-claude-3)** supports Anthropic's [Claude 3 family](https://www.anthropic.com/news/claude-3-family) of models.
+- **[llm-anthropic](https://github.com/simonw/llm-anthropic)** supports Anthropic's [Claude 3 family](https://www.anthropic.com/news/claude-3-family), [3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) and beyond.
 - **[llm-command-r](https://github.com/simonw/llm-command-r)** supports Cohere's Command R and [Command R Plus](https://txt.cohere.com/command-r-plus-microsoft-azure/) API models.
 - **[llm-reka](https://github.com/simonw/llm-reka)** supports the [Reka](https://www.reka.ai/) family of models via their API.
 - **[llm-perplexity](https://github.com/hex/llm-perplexity)** by Alexandru Geana supports the [Perplexity Labs](https://docs.perplexity.ai/) API models, including `llama-3-sonar-large-32k-online` which can search for things online and `llama-3-70b-instruct`.

docs/python-api.md

@@ -94,10 +94,10 @@ print(model.prompt("Names for otters", temperature=0.2))
 
 ### Models from plugins
 
-Any models you have installed as plugins will also be available through this mechanism, for example to use Anthropic's Claude 3.5 Sonnet model with [llm-claude-3](https://github.com/simonw/llm-claude-3):
+Any models you have installed as plugins will also be available through this mechanism, for example to use Anthropic's Claude 3.5 Sonnet model with [llm-anthropic](https://github.com/simonw/llm-anthropic):
 
 ```bash
-pip install llm-claude-3
+pip install llm-anthropic
 ```
 Then in your Python code:
 ```python

docs/setup.md

@@ -56,7 +56,7 @@ This will install and run LLM using a temporary virtual environment.
 You can use the `--with` option to add extra plugins. To use Anthropic's models, for example:
 ```bash
 export ANTHROPIC_API_KEY='...'
-uvx --with llm-claude-3 llm -m claude-3.5-haiku 'fun facts about skunks'
+uvx --with llm-anthropic llm -m claude-3.5-haiku 'fun facts about skunks'
 ```
 All of the usual LLM commands will work with `uvx llm`. Here's how to set your OpenAI key without needing an environment variable for example:
 ```bash