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Capabilities

A capability is one concrete option from the deployments catalog — a Redis cache, a Qdrant vector store, a Langfuse tracer, a Llama Guard classifier. Recipes declare a starting set; you add, remove, and re-host them per project. Browse everything live with /stack in the shell, grouped exactly as below.

Layers

The catalog groups capabilities into layers; /layer <layer> <ids...> applies picks per layer and /stack <id> shows any option's detail card (env vars, docker service, probe, cost tier, provisioning time).

Layer Covers Examples
memory relational, cache, vector store, memory store relational.postgres, cache.redis, vector_db.qdrant
infrastructure queues, durable execution queue.redis-streams, durable.temporal
tools live data, MCP, embeddings, reranking, sandboxes, guardrails embedding.openai, rerank.cohere, guardrail.injection-classifier
observability tracing and metrics backends obs.langsmith, obs.langfuse, obs.grafana-stack
eval evaluation harnesses eval.promptfoo
interface frontends the default chat frontend
hosting deploy targets host.vercel, host.fly
auth authentication project auth options
core always-included primitives core.spec, core.tool_registry, core.step_log

Tiers: T0 to T4

A tier is a curated capability floor for how serious the project is. Each tier strictly contains the one below it (T4 includes T3 includes T2, and so on). Set it with /tier T2, the wizard's tier step, or --tier on new.

Tier Title Adds
T0 Chat Owned editable prompts + schema-validated I/O (core.spec, core.prompts, core.io_schema).
T1 Tool agent A typed tool registry with permission tiers and compact-error retry.
T2 Workflow A serializable step-log as state: pause, resume, retry, trace.
T3 Production An eval seam seeded from the spec plus structured tracing.
T4 Enterprise Production plus opt-in overlays: multi-agent, human-in-the-loop, durable execution, guardrails, observability.

Bundles

Bundles are named shortcuts for common capability groups — the wizard's RAG and guardrails steps expand them, and new --bundle <name> does the same non-interactively.

Bundle What it wires
rag-simple Single-stage retrieval: pgvector on the existing postgres, OpenAI embeddings, top-k cosine into the prompt.
rag-complex Hybrid dense plus keyword retrieval on Qdrant with Cohere reranking between retrieval and the LLM.
guardrails-basic Input and output classification with Llama Guard before and after the agent loop.

Delivery: docker, cloud, or both

Every capability has a delivery mode, shown in /stack:

  • docker — runs as a service in the generated docker-compose.yml; up starts and health-checks it.
  • cloud hosted — a managed service (LangSmith, managed Redis or Postgres); nothing runs locally, /connect <option> captures and validates the credentials after generation.
  • docker + cloud override — runs in docker by default, and a hosting override (/observability langfuse cloud, --obs-hosting langfuse=cloud, or a free-text refinement) keeps the capability but drops its container and wires the endpoint by credentials instead.

How picks become code

The resolved stack is not a label — it changes what gets generated. Selected capabilities pull their stack docs into the context, add their services to the compose file, declare their env vars in .env.example, register their provisioning steps with up, and appear in the project manifest so update, status, and connect know what the project runs on. The /plan panel shows the final stack with delivery modes before you spend a token.