[Doc][4/N] Reorganize API Reference (vllm-project#11843)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

Author: DarkLight1337

.buildkite/test-pipeline.yaml

@@ -38,7 +38,7 @@ steps:
   - pip install -r requirements-docs.txt
   - SPHINXOPTS=\"-W\" make html
   # Check API reference (if it fails, you may have missing mock imports)
-  - grep \"sig sig-object py\" build/html/dev/sampling_params.html
+  - grep \"sig sig-object py\" build/html/api/params.html
 
 - label: Async Engine, Inputs, Utils, Worker Test # 24min
   fast_check: true

Dockerfile

@@ -2,8 +2,8 @@
 # to run the OpenAI compatible server.
 
 # Please update any changes made here to
-# docs/source/dev/dockerfile/dockerfile.md and
-# docs/source/assets/dev/dockerfile-stages-dependency.png
+# docs/source/contributing/dockerfile/dockerfile.md and
+# docs/source/assets/contributing/dockerfile-stages-dependency.png
 
 ARG CUDA_VERSION=12.4.1
 #################### BASE BUILD IMAGE ####################

docs/source/dev/engine/async_llm_engine.md renamed to docs/source/api/engine/async_llm_engine.md

@@ -11,18 +11,8 @@ vLLM provides experimental support for multi-modal models through the {mod}`vllm
 Multi-modal inputs can be passed alongside text and token prompts to [supported models](#supported-mm-models)
 via the `multi_modal_data` field in {class}`vllm.inputs.PromptType`.
 
-Currently, vLLM only has built-in support for image data. You can extend vLLM to process additional modalities
-by following [this guide](#adding-multimodal-plugin).
-
 Looking to add your own multi-modal model? Please follow the instructions listed [here](#enabling-multimodal-inputs).
 
-## Guides
-
-```{toctree}
-:maxdepth: 1
-
-adding_multimodal_plugin
-```
 
 ## Module Contents
 

docs/source/dev/engine/engine_index.md renamed to docs/source/api/engine/index.md

@@ -0,0 +1,22 @@
+# Optional Parameters
+
+Optional parameters for vLLM APIs.
+
+(sampling-params)=
+
+## Sampling Parameters
+
+```{eval-rst}
+.. autoclass:: vllm.SamplingParams
+    :members:
+```
+
+(pooling-params)=
+
+## Pooling Parameters
+
+```{eval-rst}
+.. autoclass:: vllm.PoolingParams
+    :members:
+```
+