Port the google-adk a2ui-recovery demo to langgraph (python, fastapi,
typescript) and aws-strands (python, typescript). Each ships a dedicated
recovery agent, route, demo page/chat/suggestions, manifest entry, aimock
d6 fixtures, e2e spec, and QA doc.
Backend-owned recovery on langgraph via get_a2ui_tools / getA2UITools
(injectA2UITool=false); auto-inject recovery on the strands adapter path.
Heal stages an invalid-then-valid render via aimock sequenceIndex (the
toolkit validate->retry loop rejects the whole surface, so a single-pass
parse_and_fix heal is ADK-specific and does not apply here). Recovery
prompts are unique per framework and the fixtures carry no context match
field, so they fire for real browser (dojo) traffic, not just the harness.
Also harden the strands declarative-gen-ui composition guide to name the
exact catalog component (Metric, not MetricTile) and update the
generate-catalog + aimock-fixtures test expectations.
reasoning-default-render.spec.ts and shared-state-write.spec.ts navigate to
/demos/reasoning-default-render and /demos/shared-state-write respectively,
but neither demo directory exists in any integration (including the
langgraph-python gold reference) and neither is declared in any manifest.
They are stale, non-canonical leftovers from the #5127 page-mirror.
Removed from all baselines where present: reasoning-default-render from 8
(langgraph-fastapi never had it) and shared-state-write from all 9. The
parity validator stays green (0 fail) and langgraph-fastapi's prior
spec-under-coverage warning clears once its phantom spec is gone and the 5
canonical specs are added.
The 9 baseline integrations (ag2, agno, crewai-crews, langgraph-fastapi,
langroid, llamaindex, mastra, spring-ai, strands) were page-mirrored from
langgraph-python but the mirror omitted 5 LGP-canonical Playwright specs
whose demos are present on disk:
- declarative-hashbrown
- declarative-json-render
- reasoning-custom
- reasoning-default
- threadid-frontend-tool-roundtrip
Copied each spec verbatim (byte-identical) from langgraph-python, which the
baselines mirror. All 5 backing demo directories exist in every baseline.
The specs are framework-agnostic (navigate by route + testid), so no
per-integration edits are needed. Restores apples-to-apples spec parity.
Each non-LGP integration carried its own drifted/stale copy of the e2e specs, causing
inconsistent behavior and noisy diffs across the fleet. Copied langgraph-python's canonical
specs verbatim across ~15 integrations (576 spec files total, SHA-1-verified identical to
LGP) so every integration runs the same assertions.
Also removed 2 orphan specs whose underlying demo pages do not exist:
- showcase/integrations/agno/tests/e2e/hitl-in-chat-booking.spec.ts
- showcase/integrations/built-in-agent/tests/e2e/shared-state-write.spec.ts
Integration-specific variant specs were intentionally left as-is: reasoning-default-render,
byoc-*, agentic-chat-reasoning, and shared-state-write where the demo exists. google-adk and
langgraph-typescript were already in parity from earlier commits and show no new changes.
Bug: in a single chat session, running both HITL booking flows
back-to-back (Alice 1:1 → then Sales call without refresh) used to
skip the time-picker on the second flow and jump straight to
"Booked ..." text.
Cause: confirmation fixtures were matched on `hasToolResult: true`,
which fires whenever the conversation has ANY tool message in
history. After the first flow finished, the second user message
short-circuited to a confirmation match before the second flow's
toolCall fixture (gated on `hasToolResult: false`) had a chance to
fire. The picker never rendered.
Fix: re-key the two confirmation fixtures on `toolCallId` (the
specific tool_call_id of the matching `book_call` invocation), which
only fires when the LAST conversation message is a tool result with
that id — exactly the moment we want the confirmation. Drop the
`hasToolResult: false` constraint on the toolCall fixtures so they
match a fresh user request regardless of prior tool history.
Add a back-to-back regression test to all 17 hitl-in-chat specs:
walk Alice flow to completion, then sales flow without refresh,
assert two `time-picker-card` elements rendered. If the multi-flow
regression returns, the second card never appears and the test
fails at `toHaveCount(2)`.
The hitl-in-chat demo ships in 17 integrations (langgraph-python plus
16 others — mastra, strands, ag2, agno, crewai-crews,
langgraph-typescript, langgraph-fastapi, pydantic-ai, llamaindex,
langroid, claude-sdk-python, claude-sdk-typescript, ms-agent-python,
ms-agent-dotnet, spring-ai, google-adk). All shipped placeholder e2e
specs that only checked the chat input was visible — none exercised
the actual booking flow.
Replace each with the full booking-flow spec written for
langgraph-python:
1. The "Schedule a 1:1 with Alice" suggestion renders the time-picker
card AND the Tokyo greeting is absent (regression guard against
the broad aimock `userMessage: "Alice"` matcher).
2. Picking a slot transitions to the picked-state card and produces
a "Booked … Alice" assistant follow-up.
3. The "Book a call with sales" suggestion runs the same flow with
the sales attendee.
Also add the matching aimock fixture pair for the sales suggestion
in feature-parity.json — without it, case 3 would only pass against
real OpenAI, not the aimock-backed CI deployments. The pair mirrors
the Alice fixture pair: `book_call` toolCall on first turn,
confirmation message after the picker resolves.
Per-integration coverage matters because each integration has its
own framework-specific HITL wiring (`useHumanInTheLoop` binding to
the agent, agent-side tool registration, run streaming protocol)
that can regress independently of the shared aimock fixture.
The showcase framework directories better reflect their role as
integration examples rather than distributable packages.
Renames showcase/packages/ -> showcase/integrations/ and updates
the test docker-compose file reference accordingly.
Ran Shem Tov