Two things, both discovered by instrumenting the failure rather than trusting
the message it printed.
The MCP session never failed on protocol. macOS resolves any `.local` name
through mDNS first and takes a flat ~5.0s doing it, which sits exactly on
httpx's 5s default connect timeout; fastmcp reported the resulting
ConnectTimeout only as "Failed to initialize server session". Earlier tests
used `curl --resolve`, which bypasses DNS entirely and made it look like DNS
had been eliminated. Settings.http_timeout (60s) now covers the shared client,
the client fastmcp builds, and MCPToolset's init_timeout. list-products,
get-product and create-product now enumerate over the real gateway.
Inference used a static "unused" api_key against a gateway whose
openid-connect plugin requires audience ["llm-proxy"]. The model call now
carries a token exchanged for llm-proxy-audience, so it is attributable to the
same (agent, end user) pair as every tool call.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
A token audienced only for mcp-catalog is refused by the gateway with a
bare 401. The reason is not visible to the caller: Kong's own
openid-connect plugin exchanges the token again before reaching the
backend, and Keycloak refuses that second exchange unless the token also
names kong-token-exchange-broker. The gateway log says "invalid status
code received from the token endpoint (403)"; the client sees only 401.
LibreChat already requests both audiences for the same reason. Proven end
to end with a pm-user token: aud=[mcp-catalog, kong-token-exchange-broker]
returns 200 from catalog-mcp, and the same request with aud=[mcp-catalog]
alone returns 401.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
First of the six agents, and the one that gives the A2A facade for the
others to interoperate with. A turn exchanges the user's token once per
audience, builds one MCP toolset per server with those tokens, runs the
model through the Kong AI gateway, and drops the toolsets.
Per-turn MCP clients are the point, not an implementation detail: a token
that outlives its turn can be replayed after the session ended. Several
narrow tokens rather than one broad one, so a prompt injection that talks
the agent into the wrong domain is refused at Kong rather than succeeding
quietly.
a2a-sdk rather than FastA2A, revising the May decision. That decision
rested on Agent.to_a2a() being removed in PydanticAI v2 — which has now
happened, so the argument no longer separates them. With four other
runtimes due to interoperate, the protocol author's implementation is the
safer base. httpx2 rather than httpx, which PydanticAI deprecates for
OpenAI-compatible providers and drops in v3.
Four things about a2a-sdk 1.1 that no documentation gave and that were
established against the running library, all recorded where they bite:
a2a.types are protobuf, not pydantic; DefaultRequestHandler speaks 0.3 and
V2 is needed for 1.0; a client must send A2A-Version: 1.0 or the server
assumes 0.3 and answers VERSION_NOT_SUPPORTED on a perfectly valid
request; and an executor must enqueue a Task before any status update.
Verified: the app builds with no deprecation warnings, serves its Agent
Card, and fails a turn cleanly with "no bearer token" rather than
answering from the model's own knowledge — which would hide a broken
identity chain behind a plausible reply. Seven tests cover the exchange
shape (scope not audience, per-audience caching, refusal) and the card.
The Keycloak client does not exist yet, so no end-to-end run has happened.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Design agreed in discussion, nothing built yet. Records the agent's role, its
scopes and MCP servers, its A2A surface, and the framework choice with its
reason — so the next session starts from the decisions rather than re-deriving
them.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Stéphane Tailland