Adds the normative contract every platform agent must conform to, plus a
working reference template under template/ that ticks every box out of
the box.
Spec is derived from the production agents shipped in
cjot-backstage-az/agents/ on branch sandbox/jonathan:
- agent-registry, agent-factory, decomposer, discovery-agent,
golden-path, modernization-factory, modernization-factory-v2,
policy-transformer, scaffold-agent, support-intake-agent, the-watcher
Contents:
- SPEC.md normative contract (13 sections + conformance checklist)
- CHANGELOG.md spec versioning (1.0.0)
- docs/
registration.md self-registration with the agent-gateway
observability.md OTel logs/metrics/traces wiring
manifest.md /.well-known/agent.json schema + AgentSkill
serialisation (pydantic vs protobuf)
kubernetes.md k8s deployment shape, mandatory cross-refs,
per-namespace agents, resource sizing
deployment.md .image-version, ACR build, deploy scripts, rollback
deviations.md tracked debts against the spec
- template/
.env.local.example, .gitignore, .image-version (0.1.0),
Dockerfile (python:3.12-slim, non-root UID 1001, HEALTHCHECK),
requirements.txt (harness floor + optional LLM stack),
app/agent.py (Starlette entry, lifespan + self-registration,
defensive _skill_dict for pydantic vs protobuf),
app/logging_setup.py (canonical OTel log bridge — copy verbatim),
app/metrics.py (meter + example counter/histogram),
app/skills.py (AGENT_CONFIG + AgentSkill list),
k8s/configmap.yaml + deployment.yaml (Deployment + Service,
OTel annotations + 6-var env block,
agents-sa + agents-kv-spc bindings),
scripts/deploy.sh (auto-bump + az acr build + apply + rollout),
scripts/full-deploy.sh (preflight + deploy + post-deploy smoke),
scripts/deploy-local.sh (docker/podman + .env.local)
5.3 KiB
Agent manifest — /.well-known/agent.json
Normative requirements: SPEC.md §6
The agent-gateway discovers agents by fetching GET {AGENT_SELF_URL}/.well-known/agent.json after a successful POST /agents/register-url (see registration.md).
Schema
{
"name": "Policy Transformer", // human-readable, used as dedup key
"version": "1.0.0", // semver, MUST match .image-version
"description": "...", // 1-3 sentences
"url": "/", // base path, almost always "/"
"skills": [ // see "Skills" below
{
"id": "policy_generation", // snake_case, stable identifier
"name": "Policy Generation", // human-readable
"description": "...", // 1-2 sentences
"tags": ["policy", "generate"], // free-form filters
"examples": [ // example natural-language prompts
"Generate a Kyverno policy that requires labels"
]
}
],
"capabilities": {
"streaming": false, // SSE/WebSocket support
"conversational": false, // multi-turn chat support
"direct_api": true // synchronous request/response
}
}
Skills
Skills declare what the agent can do. They are surfaced to:
- The Backstage agent catalogue page,
- The agent-gateway's discovery API (so other agents can route by capability),
- LLM tool registries (so the platform-orchestrator can pick a skill at runtime).
Defining skills with a2a-sdk
Most agents use the a2a-sdk's AgentSkill type:
from a2a.types import AgentSkill
POLICY_TRANSFORMER_SKILLS = [
AgentSkill(
id="policy_generation",
name="Policy Generation",
description=(
"Generate production-ready Kyverno, Azure Policy, or "
"OPA/Gatekeeper policies from a natural-language description."
),
tags=["policy", "generate", "kyverno", "azure", "gatekeeper", "opa"],
examples=[
"Generate a Kyverno policy that requires all pods to have app and owner labels",
],
),
# ...
]
Defensive serialisation
AgentSkill is currently exposed as a protobuf Message in a2a-sdk runtime images, even though older type stubs suggest pydantic. Calling s.model_dump() blindly raises AttributeError: model_dump and the manifest endpoint returns 500 — which then causes the gateway's register-url call to fail with HTTP 400 — Failed to fetch agent card ... HTTP 500.
The agent MUST serialise skills with a defensive helper:
def _skill_dict(s) -> dict:
if hasattr(s, "model_dump"):
return s.model_dump()
if hasattr(s, "DESCRIPTOR"):
try:
from google.protobuf.json_format import MessageToDict
return MessageToDict(s, preserving_proto_field_name=True)
except Exception:
pass
if hasattr(s, "dict") and callable(getattr(s, "dict")):
try:
return s.dict()
except Exception:
pass
return {
"id": getattr(s, "id", None),
"name": getattr(s, "name", None),
"description": getattr(s, "description", ""),
"tags": list(getattr(s, "tags", []) or []),
"examples": list(getattr(s, "examples", []) or []),
}
The canonical copy lives in ../template/app/agent.py.
The route handler
async def agent_manifest(request: Request) -> JSONResponse:
"""GET /.well-known/agent.json — discovery manifest consumed by agent-gateway."""
return JSONResponse({
"name": AGENT_CONFIG["name"],
"version": AGENT_CONFIG["version"],
"description": AGENT_CONFIG["description"],
"url": "/",
"skills": [_skill_dict(s) for s in AGENT_SKILLS],
"capabilities": AGENT_CONFIG["capabilities"],
})
Capability flags
| Flag | Meaning | Set to true when… |
|---|---|---|
streaming |
The agent supports server-sent events on at least one route. | You expose text/event-stream responses. |
conversational |
Multi-turn chat with session state. | You hold session_id → state in memory or Redis. |
direct_api |
Synchronous request → response. | The default for most agents. |
These are advisory — the gateway uses them to pick UI affordances, not to gate routing.
Naming and dedup
The gateway normalises name to lower-hyphen-case before storing the registration row. Policy Transformer and policy-transformer collide; pick one form and stick to it. The registration row's name becomes the path segment in /proxy/agent-gateway/{agent_name}/{path}.
If two agents register with the same normalised name, the latest registration wins. Versioned agents (e.g. Modernization Factory vs Modernization Factory v2) MUST use distinct name strings.
Validation
A simple smoke test you can run inside the pod:
kubectl exec deployment/<agent> -c <container> -- \
curl -fs http://localhost:<port>/.well-known/agent.json | jq -e '.name and .version and (.skills|type=="array")'
Exit code 0 means the manifest is structurally valid. The full validation lives in the gateway and runs automatically on every register-url call.