Feature Overview (mandatory - Complete while in New status)
An elevator pitch (value statement) that describes the Feature in a clear, concise way. ie: Executive Summary of the user goal or problem that is being solved, why does this matter to the user? The “What & Why”... 

Moving to llama-stack introduces new top-level dependencies to be built. This feature tracks the work to ensure that happens.

Goals (mandatory - Complete while in New status)
Provide high-level goal statement, providing user context and expected user outcome(s) for this Feature

• The RHEL AI and RHOAI teams need llama-stack for their 3.0 release.

Requirements (mandatory -_ Complete while in Refinement status):
A list of specific needs, capabilities, or objectives that a Feature must deliver to satisfy the Feature. Some requirements will be flagged as MVP. If an MVP gets shifted, the Feature shifts. If a non MVP requirement slips, it does not shift the feature.

Done - Acceptance Criteria (mandatory - Complete while in Refinement status):
Acceptance Criteria articulates and defines the value proposition - what is required to meet the goal and intent of this Feature. The Acceptance Criteria provides a detailed definition of scope and the expected outcomes - from a users point of view

We should be able to set up a new wheel collection with

• aiosqlite
• autoevals
• chardet
• chromadb-client
• datasets
• emoji
• faiss-cpu
• fastapi
• fire
• haystack-ai
• httpx
• kfp
• langchain-qdrant
• langdetect
• llama-stack
• llama-stack-provider-lmeval
• llama-stack-provider-trustyai-fms
• matplotlib
• mcp
• nltk
• numpy
• openai
• opentelemetry-exporter-otlp-proto-http
• opentelemetry-sdk
• pandas
• pillow
• psycopg2-binary
• pymongo
• pypdf
• pythainlp
• qdrant-client
• qdrant-haystack
• redis
• requests
• scikit-learn
• scipy
• sentence-transformers
• sentencepiece
• sqlalchemy[asyncio]
• torch
• torchvision
• transformers
• tree_sitter
• uvicorn
• vllm

Supporting details

• https://redhat-internal.slack.com/archives/C079FE5H94J/p1738772549897159
• vLLM Inference Providers in Llama Stack 

Use Cases - i.e. User Experience & Workflow: (Initial completion while in Refinement status):
Include use case diagrams, main success scenarios, alternative flow scenarios.
<your text here>

Out of Scope {}{}(Initial completion while in Refinement status):

Defining the content of each provider distribution (the plugins) is up to the product component team(s).

Defining the images and wheel collection breakdown for each is up to the product component team(s).

Documentation Considerations {}{}(Initial completion while in Refinement status):

We will document which versions of packages are supported as part of the normal platform release documentation.

Questions to Answer {}{}(Initial completion while in Refinement status):
Include a list of refinement / architectural questions that may need to be answered before coding can begin.
<your text here>

Background and Strategic Fit (Initial completion while in Refinement status):
Provide any additional context is needed to frame the feature.
<your text here>

Customer Considerations {}{}(Initial completion while in Refinement status):
Provide any additional customer-specific considerations that must be made when designing and delivering the Feature.
<your text here>

Team Sign Off (Completion while in Planning status)

• All required Epics (known at the time) are linked to the this Feature
• All required Stories, Tasks (known at the time) for the most immediate Epics have been created and estimated
• Add - Reviewers name, Team Name
• Acceptance == Feature as “Ready” - well understood and scope is clear - Acceptance Criteria (scope) is elaborated, well defined, and understood
• Note: Only set FixVersion/s: on a Feature if the delivery team agrees they have the capacity and have committed that capability for that milestone

• …