Update pydantic url in plugin tutorial docs

docs/changelog.md

@@ -413,7 +413,7 @@ Then paste in your API key.
 
 Keys can also be passed using the new `--key` command line option - this can be a full key or the alias of a key that has been previously stored.
 
-See link-to-docs for more. [#13](https://github.com/simonw/llm/issues/13)
+See {ref}`api-keys` for more. [#13](https://github.com/simonw/llm/issues/13)
 
 ### New location for the logs.db database
 

docs/plugins/directory.md

@@ -19,14 +19,17 @@ 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 and Claude Instant by Anthropic.
+- **[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-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-anyscale-endpoints](https://github.com/simonw/llm-anyscale-endpoints)** supports models hosted on the [Anyscale Endpoints](https://app.endpoints.anyscale.com/) platform, including Llama 2 70B.
 - **[llm-replicate](https://github.com/simonw/llm-replicate)** adds support for remote models hosted on [Replicate](https://replicate.com/), including Llama 2 from Meta AI.
 - **[llm-palm](https://github.com/simonw/llm-palm)** adds support for Google's [PaLM 2 model](https://developers.generativeai.google/).
 - **[llm-openrouter](https://github.com/simonw/llm-openrouter)** provides access to models hosted on [OpenRouter](https://openrouter.ai/).
 - **[llm-cohere](https://github.com/Accudio/llm-cohere)** by Alistair Shepherd provides `cohere-generate` and `cohere-summarize` API models, powered by [Cohere](https://cohere.com/).
-- **[llm-bedrock-anthropic](https://github.com/sblakey/llm-bedrock-anthropic)** adds support for Claude and Claude Instant by Anthropic via Amazon Bedrock.
-- **[llm-bedrock-meta](https://github.com/flabat/llm-bedrock-meta)** adds support for Llama 2 by Meta via Amazon Bedrock.
+- **[llm-bedrock-anthropic](https://github.com/sblakey/llm-bedrock-anthropic)** by Sean Blakey adds support for Claude and Claude Instant by Anthropic via Amazon Bedrock.
+- **[llm-bedrock-meta](https://github.com/flabat/llm-bedrock-meta)** by Fabian Labat  adds support for Llama 2 by Meta via Amazon Bedrock.
+- **[llm-together](https://github.com/wearedevx/llm-together)** adds support for the [Together AI](https://www.together.ai/) extensive family of hosted openly licensed models.
 
 If an API model host provides an OpenAI-compatible API you can also [configure LLM to talk to it](https://llm.datasette.io/en/stable/other-models.html#openai-compatible-models) without needing an extra plugin.
 
@@ -37,9 +40,11 @@ If an API model host provides an OpenAI-compatible API you can also [configure L
 - **[llm-sentence-transformers](https://github.com/simonw/llm-sentence-transformers)** adds support for embeddings using the [sentence-transformers](https://www.sbert.net/) library, which provides access to [a wide range](https://www.sbert.net/docs/pretrained_models.html) of embedding models.
 - **[llm-clip](https://github.com/simonw/llm-clip)** provides the [CLIP](https://openai.com/research/clip) model, which can be used to embed images and text in the same vector space, enabling text search against images. See [Build an image search engine with llm-clip](https://simonwillison.net/2023/Sep/12/llm-clip-and-chat/) for more on this plugin.
 - **[llm-embed-jina](https://github.com/simonw/llm-embed-jina)** provides Jina AI's [8K text embedding models](https://jina.ai/news/jina-ai-launches-worlds-first-open-source-8k-text-embedding-rivaling-openai/).
+- **[llm-embed-onnx](https://github.com/simonw/llm-embed-onnx)** provides seven embedding models that can be executed using the ONNX model framework.
 
 ## Extra commands
 
+- **[llm-cmd](https://github.com/simonw/llm-cmd)** accepts a prompt for a shell command, runs that prompt and populates the result in your shell so you can review it, edit it and then hit `<enter>` to execute or `ctrl+c` to cancel.
 - **[llm-python](https://github.com/simonw/llm-python)** adds a `llm python` command for running a Python interpreter in the same virtual environment as LLM. This is useful for debugging, and also provides a convenient way to interact with the LLM {ref}`python-api` if you installed LLM using Homebrew or `pipx`.
 - **[llm-cluster](https://github.com/simonw/llm-cluster)** adds a `llm cluster` command for calculating clusters for a collection of embeddings. Calculated clusters can then be passed to a Large Language Model to generate a summary description.
 

docs/plugins/tutorial-model-plugin.md

@@ -344,7 +344,7 @@ class Markov(Model):
 ```
 Let's add extra validation rules to our options. Length must be at least 2. Duration must be between 0 and 10.
 
-The `Options` class uses [Pydantic 2](https://pydantic.org/), which can support all sorts of advanced validation rules.
+The `Options` class uses [Pydantic 2](https://docs.pydantic.dev/), which can support all sorts of advanced validation rules.
 
 We can also add inline documentation, which can then be displayed by the `llm models --options` command.