added more docs

source/openapi.yaml

@@ -1502,40 +1502,10 @@ components:
       pattern: ^(https?://|file://|data:)
       type: string
 info:
-  description: "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          \
-    \      <br>\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                <br>\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\
-    \                <br>\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."
+  description: "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."
   title: '[DRAFT] Llama Stack Specification'
   version: 0.0.1
 jsonSchemaDialect: https://json-schema.org/draft/2020-12/schema
@@ -2053,12 +2023,12 @@ security:
 servers:
 - url: http://any-hosted-llama-stack.com
 tags:
+- name: Datasets
 - name: SyntheticDataGeneration
 - name: Inference
 - name: MemoryBanks
-- name: AgenticSystem
-- name: Datasets
 - name: RewardScoring
+- name: AgenticSystem
 - name: PostTraining
 - description: <SchemaDefinition schemaRef="#/components/schemas/ShieldConfig" />
   name: ShieldConfig