Fix broken links with docs

docs/contbuild.sh

@@ -0,0 +1,7 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+sphinx-autobuild --write-all source build/html --watch source/

docs/source/conf.py

@@ -12,6 +12,8 @@
 # -- Project information -----------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 
+from docutils import nodes
+
 project = "llama-stack"
 copyright = "2024, Meta"
 author = "Meta"
@@ -59,6 +61,10 @@
     "tasklist",
 ]
 
+myst_substitutions = {
+    "docker_hub": "https://hub.docker.com/repository/docker/llamastack",
+}
+
 # Copy button settings
 copybutton_prompt_text = "$ "  # for bash prompts
 copybutton_prompt_is_regexp = True
@@ -98,3 +104,26 @@
 ]
 
 redoc_uri = "https://cdn.redoc.ly/redoc/latest/bundles/redoc.standalone.js"
+
+
+def setup(app):
+    def dockerhub_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
+        url = f"https://hub.docker.com/r/llamastack/{text}"
+        node = nodes.reference(rawtext, text, refuri=url, **options)
+        return [node], []
+
+    def repopath_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
+        parts = text.split("::")
+        if len(parts) == 2:
+            link_text = parts[0]
+            url_path = parts[1]
+        else:
+            link_text = text
+            url_path = text
+
+        url = f"https://github.com/meta-llama/llama-stack/tree/main/{url_path}"
+        node = nodes.reference(rawtext, link_text, refuri=url, **options)
+        return [node], []
+
+    app.add_role("dockerhub", dockerhub_role)
+    app.add_role("repopath", repopath_role)

docs/source/contributing/new_api_provider.md

@@ -5,15 +5,15 @@ This guide contains references to walk you through adding a new API provider.
 1. First, decide which API your provider falls into (e.g. Inference, Safety, Agents, Memory).
 2. Decide whether your provider is a remote provider, or inline implmentation. A remote provider is a provider that makes a remote request to an service. An inline provider is a provider where implementation is executed locally. Checkout the examples, and follow the structure to add your own API provider. Please find the following code pointers:
 
-    - [Remote Adapters](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote)
-    - [Inline Providers](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline)
+    - {repopath}`Remote Providers::llama_stack/providers/remote`
+    - {repopath}`Inline Providers::llama_stack/providers/inline`
 
 3. [Build a Llama Stack distribution](https://llama-stack.readthedocs.io/en/latest/distribution_dev/building_distro.html) with your API provider.
 4. Test your code!
 
 ## Testing your newly added API providers
 
-1. Start with an _integration test_ for your provider. That means we will instantiate the real provider, pass it real configuration and if it is a remote service, we will actually hit the remote service. We **strongly** discourage mocking for these tests at the provider level. Llama Stack is first and foremost about integration so we need to make sure stuff works end-to-end. See [llama_stack/providers/tests/inference/test_inference.py](../llama_stack/providers/tests/inference/test_inference.py) for an example.
+1. Start with an _integration test_ for your provider. That means we will instantiate the real provider, pass it real configuration and if it is a remote service, we will actually hit the remote service. We **strongly** discourage mocking for these tests at the provider level. Llama Stack is first and foremost about integration so we need to make sure stuff works end-to-end. See {repopath}`llama_stack/providers/tests/inference/test_text_inference.py` for an example.
 
 2. In addition, if you want to unit test functionality within your provider, feel free to do so. You can find some tests in `tests/` but they aren't well supported so far.
 

docs/source/distributions/ondevice_distro/ios_sdk.md

@@ -5,7 +5,7 @@ We offer both remote and on-device use of Llama Stack in Swift via two component
 1. [llama-stack-client-swift](https://github.com/meta-llama/llama-stack-client-swift/)
 2. [LocalInferenceImpl](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/ios/inference)
 
-```{image} ../../../../_static/remote_or_local.gif
+```{image} ../../../_static/remote_or_local.gif
 :alt: Seamlessly switching between local, on-device inference and remote hosted inference
 :width: 412px
 :align: center

docs/source/distributions/self_hosted_distro/index.md

@@ -1,13 +1,27 @@
 # Self-Hosted Distributions
+```{toctree}
+:maxdepth: 1
+:hidden:
+
+ollama
+tgi
+remote-vllm
+meta-reference-gpu
+meta-reference-quantized-gpu
+together
+fireworks
+bedrock
+```
 
 We offer deployable distributions where you can host your own Llama Stack server using local inference.
 
 | **Distribution** 	|           **Llama Stack Docker**           	| Start This Distribution 	|
 |:----------------:	|:------------------------------------------:	|:-----------------------:	|
-|  Meta Reference  	| [llamastack/distribution-meta-reference-gpu](https://hub.docker.com/repository/docker/llamastack/distribution-meta-reference-gpu/general) 	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/meta-reference-gpu.html)       	|
-|  Meta Reference Quantized  	| [llamastack/distribution-meta-reference-quantized-gpu](https://hub.docker.com/repository/docker/llamastack/distribution-meta-reference-quantized-gpu/general) 	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/meta-reference-quantized-gpu.html)       	|
-|      Ollama      	|       [llamastack/distribution-ollama](https://hub.docker.com/repository/docker/llamastack/distribution-ollama/general)       	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/ollama.html)       	|
-|        TGI       	|         [llamastack/distribution-tgi](https://hub.docker.com/repository/docker/llamastack/distribution-tgi/general)        	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/tgi.html)       	|
-|        Together       	|         [llamastack/distribution-together](https://hub.docker.com/repository/docker/llamastack/distribution-together/general)        	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/together.html)       	|
-|        Fireworks       	|         [llamastack/distribution-fireworks](https://hub.docker.com/repository/docker/llamastack/distribution-fireworks/general)        	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/fireworks.html)       	|
-|        Bedrock       	|         [llamastack/distribution-bedrock](https://hub.docker.com/repository/docker/llamastack/distribution-bedrock/general)        	|       [Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/distributions/self_hosted_distro/bedrock.html)       	|
+|      Ollama      	|       {dockerhub}`distribution-ollama`       	|       [Guide](ollama)       	|
+|        TGI       	|         {dockerhub}`distribution-tgi`        	|       [Guide](tgi)       	|
+| vLLM            	|         {dockerhub}`distribution-remote-vllm`        	|       [Guide](remote-vllm)       	|
+|  Meta Reference  	| {dockerhub}`distribution-meta-reference-gpu` 	|       [Guide](meta-reference-gpu)       	|
+|  Meta Reference Quantized  	| {dockerhub}`distribution-meta-reference-quantized-gpu` 	|       [Guide](meta-reference-quantized-gpu)       	|
+|        Together       	|         {dockerhub}`distribution-together`        	|       [Guide](together)       	|
+|        Fireworks       	|         {dockerhub}`distribution-fireworks`        	|       [Guide](fireworks)       	|
+|        Bedrock       	|         {dockerhub}`distribution-bedrock`        	|       [Guide](bedrock)       	|

docs/source/references/llama_cli_reference/index.md

@@ -29,7 +29,7 @@ You have two ways to install Llama Stack:
 ## `llama` subcommands
 1. `download`: `llama` cli tools supports downloading the model from Meta or Hugging Face.
 2. `model`: Lists available models and their properties.
-3. `stack`: Allows you to build and run a Llama Stack server. You can read more about this [here](../distributions/building_distro).
+3. `stack`: Allows you to build and run a Llama Stack server. You can read more about this [here](../../distributions/building_distro).
 
 ### Sample Usage
 
@@ -228,7 +228,7 @@ You can even run `llama model prompt-format` see all of the templates and their
 ```
 llama model prompt-format -m Llama3.2-3B-Instruct
 ```
-![alt text](../../resources/prompt-format.png)
+![alt text](../../../resources/prompt-format.png)