added more docs

source/openapi.yaml

@@ -1502,7 +1502,37 @@ components:
       pattern: ^(https?://|file://|data:)
       type: string
 info:
-  description: "This is the specification of the llama stack that provides \n    \
+  description: "\n                \n                Meta has built out a fairly sophisticated\
+    \ platform internally to post train, evaluate, and \n                serve Llama\
+    \ models to support Meta’s products. Given the newer capabilities of the llama\
+    \ models, \n                the model development and model serving capabilities\
+    \ of the platform need to be enhanced in \n                specific ways in order\
+    \ to best leverage the models. For example, the inference platform needs \n  \
+    \              to support code execution to take advantage of the built-in knowledge\
+    \ of tools of the model. \n                The largest models are of high enough\
+    \ quality to be used to generate synthetic data or be used \n                as\
+    \ reward models. There are specific fine tuning and quantization techniques that\
+    \ we have found \n                result in the best performing Llama models.\
+    \ We would like to share ways in which an LLM Ops \n                toolchain\
+    \ can be designed by leveraging our learnings in getting Llama models to power\
+    \ Meta’s products.\n\n                In addition, the Llama 3 models Meta will\
+    \ release in July should not just be seen as a model, but \n                really\
+    \ as a system starting the transition towards an entity capable of performing\
+    \ \"agentic\" tasks \n                which require the ability to act as the\
+    \ central planner and break a task down and perform multi-step \n            \
+    \    reasoning and call tools for specific operations. In addition, there needs\
+    \ to be general model-level \n                safety checks as well as task-specific\
+    \ safety checks that are performed at a system level. \n\n                We are\
+    \ defining the Llama Stack as a set of APIs and standards by synthesizing our\
+    \ learnings while \n                working with Llama models. The APIs are divided\
+    \ into the llama-toolchain-api and the llama-agentic-system-api. \n          \
+    \      These APIs provide a coherent way for model developers to fine tune and\
+    \ serve Llama models, and agentic app \n                developers to leverage\
+    \ all the capabilities of the Llama models seamlessly. We would like to work with\
+    \ the \n                ecosystem to enhance and simplify the API. In addition,\
+    \ we will be releasing a plug-in architecture to allow \n                creating\
+    \ distributions of the llama stack with different implementations.\n\n\n     \
+    \           This is the specification of the llama stack that provides \n    \
     \            a set of endpoints and their corresponding interfaces that are tailored\
     \ to \n                best leverage Llama Models. The specification is still\
     \ in draft and subject to change."
@@ -2023,13 +2053,13 @@ security:
 servers:
 - url: http://any-hosted-llama-stack.com
 tags:
-- name: AgenticSystem
-- name: RewardScoring
 - name: PostTraining
-- name: Datasets
 - name: Inference
 - name: MemoryBanks
 - name: SyntheticDataGeneration
+- name: RewardScoring
+- name: AgenticSystem
+- name: Datasets
 - description: <SchemaDefinition schemaRef="#/components/schemas/ShieldConfig" />
   name: ShieldConfig
 - description: <SchemaDefinition schemaRef="#/components/schemas/AgenticSystemCreateRequest"