Templates were pinned at old @ag-ui/client versions (0.0.40–0.0.46).
@copilotkit/runtime@1.55.2 ships 0.0.52, which added private fields to
AbstractAgent. The version split caused a nominal type error on build.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Templates had stale pinned versions ranging from 1.9.3 to 1.52.1.
The CLI does a verbatim sparse checkout of these files, so users
scaffolding via `copilotkit create` were getting old versions installed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Source route.ts files now read process.env.AGENT_URL natively (PR #3737),
so the build-time sed patches and verification greps are no longer needed.
Also removes crewai-crews docker-route-override.ts and its COPY line,
since that starter's route.ts already has AGENT_URL support.
## Summary
Adds **factory mode** to `BuiltInAgent`, enabling backend-agnostic LLM
integration without introducing a new class. Users provide a factory
function that creates the LLM stream — CopilotKit handles lifecycle
events, stream-to-AG-UI conversion, error handling, and
abort/cancellation.
### What's included
- **Three backend types**: `aisdk` (Vercel AI SDK), `tanstack` (TanStack
AI), and `custom` (raw AG-UI events)
- **Stream converters**: `convertAISDKStream` and
`convertTanStackStream` extract AG-UI events from backend-native streams
- **Input helpers**: `convertInputToTanStackAI` and
`convertMessagesToVercelAISDKMessages` for message/prompt conversion
- **State management**: Automatic `STATE_SNAPSHOT`/`STATE_DELTA` event
extraction from tool results
- **Reasoning support**: Auto-close logic for providers that never emit
`reasoning-end` (e.g. `@ai-sdk/anthropic`)
- **273 tests** across 16 test files covering all backend types,
converters, state tools, multimodal, and edge cases
- **Docs**: Comprehensive factory mode guide with 16 examples covering
tools, reasoning, state, forwardedProps, structured output
- **Example app**: React Router example migrated to factory mode
### Architecture
Factory mode is a discriminated union on `BuiltInAgentConfiguration`:
```typescript
const agent = new BuiltInAgent({
type: "aisdk", // or "tanstack" | "custom"
factory: ({ input, abortSignal }) =>
streamText({ model: openai("gpt-4o"), messages: ..., abortSignal }),
});
```
No new public classes — `BuiltInAgent` handles both simple mode (model
string) and factory mode (user-owned LLM call).
## PR feedback addressed
### Critical fixes
- **C1/M3**: Fixed TOCTOU window — `abortController` now set
synchronously before Observable creation in classic `run()`, with
concurrent run guard
- **C2/M2**: Classic `tool-result` now checks both `output` and `result`
property names, with `try/catch` on `JSON.stringify`
- **C3**: Error case safely handles `undefined` `p.error` with proper
fallback chain
### Important fixes
- **I2**: `RUN_ERROR` events now include `threadId` and `runId` in
classic mode (matching factory mode)
- **I3**: State tool events guarded against `undefined` snapshot/delta
before emitting
- **I4**: `JSON.stringify` wrapped in try/catch with descriptive
fallback message
- **M1**: `assignToolsToAgents` now skips factory-mode agents (prevents
config corruption)
- **M5**: TanStack converter's dropped event types documented with clear
limitation note
### Suggestions addressed
- **S1**: `@ts-expect-error` on `clone()` middlewares documented with
rationale
- **M4**: `AgentFactoryContext.abortController` kept (needed by TanStack
AI) but JSDoc added discouraging direct `.abort()` calls
## Test plan
- [x] 273 unit tests pass across all 3 backend types
- [x] Build succeeds
- [x] React Router example compiles
- [x] Docs render correctly (Vercel preview)
## Summary
Adds a `/health` GET endpoint returning `{"status": "ok"}` to all 11
starter integration examples. This is a best practice for any deployed
service — health checks enable platform health monitoring, load balancer
probes, and container lifecycle management.
**11 starters updated:**
- adk, agent-spec, agno, crewai-crews, crewai-flows, langgraph-fastapi,
llamaindex, ms-agent-framework-dotnet, ms-agent-framework-python,
pydantic-ai, strands-python
**1 skipped:**
- langgraph-python — uses `langgraph dev` which provides its own `/ok`
endpoint
All `/health` endpoints are registered before any catch-all mount to
ensure they take priority (lesson learned from the pydantic-ai showcase
bug).
## Test plan
- [ ] Each starter builds successfully
- [ ] `curl localhost:8000/health` returns `{"status": "ok"}` on each
Every starter's route.ts now reads process.env.AGENT_URL as the
primary agent endpoint, with framework-specific vars as fallback:
- AGENT_URL || "http://localhost:8000" (pydantic-ai, adk, agno, crewai,
ms-agent-python, ms-agent-dotnet, strands-python)
- AGENT_URL || LANGGRAPH_DEPLOYMENT_URL || "http://localhost:8123"
(langgraph-python, langgraph-js)
- AGENT_URL || "http://localhost:9000" (llamaindex)
Also adds .env.example with AGENT_URL to all starters.
Replace eslint and prettier with oxlint and oxfmt for faster linting
and formatting across the monorepo. Remove all eslint and prettier
configs, dependencies, and related packages. Add .oxlintrc.json and
.oxfmtrc.json for the new tooling. Update CI workflows and lefthook
hooks accordingly. Reformat codebase with oxfmt.
https://claude.ai/code/session_01GMkSf29p78HuMR1mbXn8He
Run prettier on ~1,865 files across examples/ to match the monorepo's
formatting standards. These files were imported as-is from standalone
repos that used different prettier configs.
SVG files are text-based XML averaging ~218 bytes each. LFS tracking
adds per-file HTTP fetch overhead with no storage benefit, suppresses
git diff output, and breaks tutorial clone instructions that use
GIT_LFS_SKIP_SMUDGE=1 (users get LFS pointers instead of icons).
Martha Schumann