diff --git a/docs/samples-guide.md b/docs/samples-guide.md index 4bfcef5a..c25d2da0 100644 --- a/docs/samples-guide.md +++ b/docs/samples-guide.md @@ -92,11 +92,13 @@ See the [MCP README](../samples/mcp/README.md) for setup instructions. Located in [`samples/copilotkit/`](../samples/copilotkit/). Full-stack integration with CopilotKit using LangGraph CoAgents and generative UI card components. -- [`agents/evaluator_agent.py`](../samples/copilotkit/agents/evaluator_agent.py) -- LangGraph CoAgent for evaluation workflows +- [`agents/evaluator_agent.py`](../samples/copilotkit/agents/evaluator_agent.py) -- LangGraph CoAgent for evaluation workflows (human-in-the-loop judge confirmation via `interrupt()`) - [`agents/investigator_agent.py`](../samples/copilotkit/agents/investigator_agent.py) -- LangGraph CoAgent for trace investigation - [`components/*.tsx`](../samples/copilotkit/components/) -- React card components for rendering results - [`hooks/*.ts`](../samples/copilotkit/hooks/) -- CopilotKit hooks for wiring LayerLens actions +> **Checkpointer note:** Any LangGraph CoAgent that calls `interrupt()` (such as `evaluator_agent.py`) **must** be compiled with a checkpointer. Without one, the AG-UI stream ends without emitting `RUN_FINISHED` and CopilotKit blocks all subsequent messages. The sample ships with `InMemorySaver` for a zero-setup local run and documents Postgres / SQLite / Redis / LangGraph Platform alternatives for production in its [README](../samples/copilotkit/README.md#human-in-the-loop-checkpointers). + See the [CopilotKit README](../samples/copilotkit/README.md) for the full list. ### Claude Code Skills (6 skills) diff --git a/samples/copilotkit/README.md b/samples/copilotkit/README.md index a524b189..1cbd8780 100644 --- a/samples/copilotkit/README.md +++ b/samples/copilotkit/README.md @@ -1,71 +1,398 @@ -# CopilotKit Samples +# CopilotKit Samples — LayerLens Stratix -Building AI-powered user interfaces requires more than backend evaluation logic -- it requires -real-time feedback loops between the AI backend and the frontend. These samples provide -CopilotKit CoAgents (LangGraph-based) and React components that connect LayerLens evaluation -capabilities to interactive UIs, enabling human-in-the-loop evaluation workflows where users -can review, confirm, and act on AI quality assessments in real time. +Production-shaped reference for building CopilotKit-powered UIs on top of +LayerLens Stratix. Two agents ship here: + +| Agent | Purpose | +|---|---| +| `agents/evaluator_agent.py` | Multi-step evaluation with human-in-the-loop judge selection. Drives the demo app at `app/`. | +| `agents/investigator_agent.py` | Trace investigation (errors, latency, cost hot spots). No HITL. | + +The evaluator is the showcase. It uses CopilotKit's canonical +[`coagents-research-canvas`](https://github.com/CopilotKit/CopilotKit/tree/main/examples/v1/research-canvas) +pattern: an LLM-driven agent with backend tools, a state-driven canvas +on the host page, a chat sidebar with HITL widgets, and out-of-band +polling for long-running async work. + +## Layout + +``` +samples/copilotkit/ +├── agents/ +│ ├── evaluator_agent.py # the agent (LangChain v1 create_agent) +│ └── investigator_agent.py +├── components/ # SDK card library — 5 cards + MarkdownLite +│ ├── EvaluationCard.tsx +│ ├── TraceCard.tsx +│ ├── JudgeVerdictCard.tsx +│ ├── MetricCard.tsx +│ ├── ComplianceCard.tsx +│ └── markdown-lite.tsx +├── app/ # the customer-facing sample +│ ├── backend/ # FastAPI server + AG-UI endpoint +│ │ └── server.py +│ └── frontend/ # Next.js 16 + shadcn/ui +│ ├── app/ # page.tsx, layout.tsx, theme-toggle.tsx, route.ts +│ ├── components/ui/ # shadcn primitives (npx shadcn add ...) +│ └── lib/utils.ts # cn() +└── README.md # this file +``` ## Prerequisites ```bash -pip install layerlens --index-url https://sdk.layerlens.ai/package copilotkit langgraph pydantic mcp -npm install @copilotkit/react-core # for frontend components -export LAYERLENS_STRATIX_API_KEY=your-api-key +# Python deps +pip install layerlens --index-url https://sdk.layerlens.ai/package +pip install -r samples/copilotkit/app/backend/requirements.lock + +# Frontend deps (already shrinkwrapped via package-lock.json) +cd samples/copilotkit/app/frontend && npm install + +# Credentials — real LayerLens Stratix only; no fake fixture path +export LAYERLENS_STRATIX_API_KEY=your-stratix-key +export OPENAI_API_KEY=your-openai-key +# optional overrides for any OpenAI-compatible endpoint +export OPENAI_BASE_URL=https://your-openai-compatible-host/v1 +export OPENAI_MODEL=gpt-4o-mini ``` -## Quick Start +### Version matrix + +| Package | Pin | +|---|---| +| `layerlens` | `>=1.6.0` | +| `copilotkit` (Python SDK) | `==0.1.87` | +| `langchain` | `==1.2.15` | +| `langchain-openai` | `>=1.1.0,<2.0.0` | +| `langgraph` | `==1.1.9` | +| `ag-ui-langgraph` | `==0.0.34` | +| `pydantic` | `>=2,<3` | +| `@copilotkit/react-core` | `==1.56.3` | +| `@copilotkit/react-ui` | `==1.56.3` | +| `@copilotkit/runtime` | `==1.56.3` | +| `next` | `^16` (Tailwind 4) | +| `react` | `^19` | +| `radix-ui`, `class-variance-authority`, `clsx`, `tailwind-merge`, `tw-animate-css` | shadcn/ui foundation | +| Python | `>=3.10,<3.13` | + +## Architecture + +``` ++-- Browser (Next.js + shadcn/ui + CopilotKit) --------------------+ +| | +| +-- Canvas (host page) -----+ +-- Chat sidebar -------------+ | +| | useCoAgent({name}) | | | | +| | state.{traces,judges, | | JudgePicker | | +| | evaluations,results}| | useCopilotAction | | +| | Live cards from state: | | renderAndWaitFor... | | +| | MetricCard × 4 | | Theme toggle, send btn | | +| | TraceCard × N | +-----------------------------+ | +| | EvaluationCard summary | | +| | JudgeVerdictCard × N | Polls /evaluations/{id} | +| | PendingVerdictCard × M | every 5s for in-flight evals. | +| +---------------------------+ | +| | ++--- /api/copilotkit (CopilotRuntime + LangGraphHttpAgent) --------+ + | + v ++-- FastAPI backend (samples/copilotkit/app/backend/server.py) ---+ +| | +| POST /evaluator | +| ag_ui_langgraph.add_langgraph_fastapi_endpoint | +| wraps the graph in build_agui_agent (recursion_limit=200)| +| | +| GET /evaluations/{id} | +| Out-of-band polling endpoint — returns the current verdict | +| (status / passed / score / reasoning / trace_id / judge_id). | +| | +| langchain.agents.create_agent (state_schema=EvaluatorState) | +| - model: ChatOpenAI (OpenAI-compatible) | +| - tools (async, return Command(update={...})): | +| list_recent_traces | +| list_judges | +| run_trace_evaluation | +| get_evaluation_result | +| - middleware: [CopilotKitMiddleware] | +| - confirm_judge bridged in from the frontend (no-arg HITL) | +| | +| Tools call copilotkit_emit_state to push state mid-run so the | +| canvas updates while the agent works. | +| | +| layerlens.Stratix client | ++-----------------------------------------------------------------+ +``` + +### How the demo flows + +1. User clicks **Evaluate my traces** in the header. The page sends + *"Please evaluate my recent traces."* into the chat. +2. Agent calls `list_recent_traces` → state.traces populates → + `MetricCard` and `TraceCard`s appear on the canvas. +3. Agent calls `list_judges` → state.judges populates → "Available + judges" section appears with markdown-rendered goals. +4. Agent calls `confirm_judge` (no args). The `JudgePicker` in the + chat reads candidates from `useCoAgent` state and renders an + inline picker. User selects a judge. +5. Agent calls `run_trace_evaluation` for the first 5 traces. + `EvaluationCard` summary appears on the canvas; one + `PendingVerdictCard` per evaluation in the verdicts grid. +6. Agent ends the run with one short summary line in the chat + ("Started 5 evaluations against \. They will appear in the + canvas as they finish."). +7. Frontend polls `/evaluations/{id}` every 5 s for each pending + evaluation. As verdicts land, `PendingVerdictCard`s flip to real + `JudgeVerdictCard`s with markdown-rendered reasoning. + +## Why this pattern + +We deliberately avoid `langgraph.types.interrupt()` for HITL. That +path hits two upstream bugs in `ag-ui-langgraph` — see the +[upstream issues](#upstream-issues-informational) at the bottom — and +isn't the pattern CopilotKit's own samples ship today. + +The pattern here matches `coagents-research-canvas`: + +- **Stateful canvas + thin chat.** Cards live on the host page, driven + by `useCoAgent({name: "evaluator"})`. The chat is reserved for + conversation and HITL widgets. Same split research-canvas uses. +- **Frontend-defined HITL via `useCopilotAction({ available: "remote", + renderAndWaitForResponse })`.** The picker is a real React widget, + not a text prompt. +- **Out-of-band polling for slow async work.** Real LayerLens + evaluations take 30+ seconds — way too long to block a chat turn. + The agent kicks them off and exits; the frontend polls the + backend's `/evaluations/{id}` endpoint and folds results into the + canvas as each completes. No LLM hallucination about state it can't + observe. +- **`copilotkit_emit_state` for live updates.** Tools are `async` and + call `copilotkit_emit_state(config, ...)` after each LayerLens API + call so STATE_SNAPSHOT events stream to the browser mid-run. + +## Agents + +### `evaluator_agent.py` + +`langchain.agents.create_agent` with `CopilotKitMiddleware`, four +backend `@tool` functions, and an extended `EvaluatorState` schema. + +State schema (`EvaluatorState(AgentState)`): + +```python +traces: list[dict[str, Any]] # from list_recent_traces +judges: list[dict[str, Any]] # from list_judges +evaluations: Annotated[list[dict[str, Any]], operator.add] # one per run_trace_evaluation +results: Annotated[list[dict[str, Any]], operator.add] # one per get_evaluation_result success +``` + +Tools (all `async`, all return `langgraph.types.Command`): + +- `list_recent_traces(limit=20) -> Command(update={"traces", "messages"})` +- `list_judges() -> Command(update={"judges", "messages"})` +- `run_trace_evaluation(trace_id, judge_id) -> Command(update={"evaluations", "messages"})` +- `get_evaluation_result(evaluation_id) -> Command(update={"results"?, "messages"})` +- `confirm_judge()` — **frontend tool, zero arguments**. The picker reads + candidates from `state.judges` directly so we don't have to stream a + large candidate list through tool args (which used to fail with + `tool_argument_parse_failed: Unterminated string in JSON` when the + LLM truncated mid-stream). + +Each tool calls `copilotkit_emit_state(config, ...)` after its +LayerLens API call so the canvas updates immediately, not at run-end. + +### `investigator_agent.py` + +A procedural `StateGraph` that fetches a trace, extracts events, and +flags errors / slow spans / high token usage. No HITL, no LLM. Good +reference for a non-conversational agent that still plugs into the +CopilotKit runtime. + +## Frontend + +### Foundation -Start with the Evaluator Agent to see the core human-in-the-loop pattern: +The sample is a Next.js 16 + Tailwind 4 + shadcn/ui app. Primitives +were generated via: ```bash -python agents/evaluator_agent.py +cd samples/copilotkit/app/frontend +npx shadcn@latest add card button badge progress separator ``` -Expected output: the agent parses an evaluation intent, selects appropriate judges, pauses -for human confirmation, executes the evaluation, and emits AG-UI protocol events at each step. +`globals.css` ships the stock shadcn neutral OKLCH tokens +(`--background`, `--foreground`, `--card`, `--muted`, `--destructive`, +…) plus a `--copilot-kit-*` bridge that maps the chat widget's +palette onto the same shadcn tokens — so `` feels native +to the host page in both light and dark mode. -## Agents (LangGraph CoAgents) +A Tailwind 4 `@source` directive scans +`samples/copilotkit/components/**/*.{ts,tsx}` so utility classes used +inside the SDK card library make it into the generated CSS. -| File | Scenario | Description | -|------|----------|-------------| -| `agents/evaluator_agent.py` | Product teams building evaluation dashboards | A multi-step evaluation workflow: parses user intent, selects judges, requests human confirmation before execution, runs evaluations, and summarizes results. Emits AG-UI events for real-time frontend rendering. | -| `agents/investigator_agent.py` | Operations teams building trace debugging UIs | Fetches a trace by ID, analyzes spans for errors, latency anomalies, and cost outliers, then generates actionable fix suggestions. Designed for integration into incident investigation dashboards. | +### Theme -## React Components +Light by default (matches every official CopilotKit sample). A +segmented `ThemeToggle` (Light / System / Dark) lives in the header +and persists to `localStorage`. System mode tracks the OS via +`matchMedia("(prefers-color-scheme: dark)")`. -| File | Description | -|------|-------------| -| `components/EvaluationCard.tsx` | Renders evaluation results with score breakdowns and judge verdicts. | -| `components/TraceCard.tsx` | Displays trace metadata, span hierarchy, and timing information. | -| `components/JudgeVerdictCard.tsx` | Shows individual judge verdicts with pass/fail indicators. | -| `components/MetricCard.tsx` | Renders a single metric with trend visualization. | -| `components/ComplianceCard.tsx` | Displays compliance status with regulation-specific details. | -| `components/index.ts` | Barrel export for all components. | +### SDK card library (`samples/copilotkit/components/`) -## React Hooks +| Card | Use | +|---|---| +| `MetricCard` | KPI tile with optional unit + trend chip. Used in the canvas's top strip. | +| `TraceCard` | Per-trace summary (framework / duration / tokens / cost / events). `dashboardBaseUrl` opt-in for "Trace Explorer" / "Agent Graph" links. | +| `EvaluationCard` | Run summary with pass-rate hero, case bar, score distribution, sparkline. | +| `JudgeVerdictCard` | Per-result verdict with severity pill + filled Pass/Fail/Error badge + markdown-rendered reasoning. | +| `ComplianceCard` | Compliance framework status with attestations + violations. (Showcase; not in the evaluator demo.) | +| `MarkdownLite` | Tiny safe inline-markdown renderer — paragraph breaks, line breaks, `**bold**`, `*italic*`. Used by `JudgeVerdictCard.reasoning`, the `JudgePicker` goal text, and the canvas's "Available judges" card. No `react-markdown` dep — the SDK card library has to stay resolvable without the host app's `node_modules` in scope. | -| File | Description | -|------|-------------| -| `hooks/useLayerLensActions.ts` | CopilotKit action hooks for triggering evaluations and investigations. | -| `hooks/useLayerLensContext.ts` | Context hook for sharing LayerLens state across components. | -| `hooks/index.ts` | Barrel export for all hooks. | +Brand accent (`#6766FC`) is applied via Tailwind class strings on +CTAs only — never by editing `--primary`. Same approach +`research-canvas` takes for its `#6766FC` indigo. -## Architecture +### `app/page.tsx` highlights + +```tsx +import { useCoAgent, useCopilotAction, useCopilotChat } from "@copilotkit/react-core"; +import { + EvaluationCard, JudgeVerdictCard, MarkdownLite, + MetricCard, TraceCard, +} from "@layerlens/copilotkit-cards"; +import { ThemeToggle } from "./theme-toggle"; + +export default function Page() { + const { state } = useCoAgent({ + name: "evaluator", + initialState: { traces: [], judges: [], evaluations: [], results: [] }, + }); + + // Out-of-band polling: any evaluation in state.evaluations not yet + // in state.results gets polled every 5s; results merge into the + // canvas as each completes. + const [polledResults, setPolledResults] = useState([]); + useEffect(() => { /* fetch /evaluations/{id} for pending IDs */ }, [...]); + + const results = useMemo(() => mergeResults(state.results, polledResults), ...); + // HITL: no-arg confirm_judge tool, picker reads candidates from state.judges + useCopilotAction({ + name: "confirm_judge", + parameters: [], + renderAndWaitForResponse: ({ respond, status }) => ( + + ), + }); + + return ( +
+
{/* title + ThemeToggle + Evaluate button */}
+
+
{/* canvas: cards from state */}
+ +
+
+ ); +} ``` -CopilotKit Frontend (React) - | - v -CoAgent (LangGraph StateGraph) - | - v -LayerLens Python SDK (Stratix client) - | - v -LayerLens API + +### `app/layout.tsx` + +Wraps ``. Theme is hydrated +from `localStorage` on mount via `ThemeToggle`. + +### `app/api/copilotkit/route.ts` + +```ts +new CopilotRuntime({ + agents: { + evaluator: new LangGraphHttpAgent({ + url: process.env.EVALUATOR_BACKEND_URL ?? "http://127.0.0.1:8123/evaluator", + }), + }, +}); +``` + +## Backend + +```python +# app/backend/server.py +from fastapi import FastAPI +from ag_ui_langgraph import add_langgraph_fastapi_endpoint +from agents.evaluator_agent import build_agui_agent, evaluator_graph + +app = FastAPI() + +@app.get("/evaluations/{evaluation_id}") +def get_evaluation(evaluation_id: str) -> dict: + """Out-of-band polling for the frontend.""" + ... + +add_langgraph_fastapi_endpoint( + app, + agent=build_agui_agent(name="evaluator", graph=evaluator_graph), + path="/evaluator", +) ``` -The agents emit AG-UI protocol events that CopilotKit renders as progress cards, confirmation -dialogs, and result summaries in the frontend. The React components and hooks are provided as -reference implementations for building your own LayerLens-powered UI. +`build_agui_agent` constructs a `LangGraphAGUIAgent` with +`config={"recursion_limit": 200}` (the default 25 isn't enough for a +5-trace fan-out plus polls) and a small `_RunIdPreserving` subclass +that workarounds [`ag-ui-protocol/ag-ui#1582`](https://github.com/ag-ui-protocol/ag-ui/issues/1582). + +### Real LayerLens only + +Missing or empty `LAYERLENS_STRATIX_API_KEY` is a hard `RuntimeError` +at startup. There is no fake/fixture mode. This sample exists to +exercise real LayerLens; a fake mode would defeat the demo. + +## Running the sample end-to-end + +```bash +# Terminal 1 — backend +cd samples/copilotkit/app/backend +pip install -r requirements.lock +export LAYERLENS_STRATIX_API_KEY=... +export OPENAI_API_KEY=... +python server.py # http://127.0.0.1:8123 + +# Terminal 2 — frontend +cd samples/copilotkit/app/frontend +npm install +npm run dev # http://127.0.0.1:3000 +``` + +Open `http://127.0.0.1:3000`, click **Evaluate my traces** (or type +*"Please evaluate my recent traces."* in chat). Watch the canvas +populate progressively as each tool runs and as verdicts complete. + +## Tests + +```bash +pytest tests/test_samples_e2e.py -k copilotkit +``` + +The mocked tests exercise each backend tool with a patched Stratix +client and verify the graph imports cleanly with mocked heavy deps. + +Playwright tests under `samples/copilotkit/app/frontend/tests/` are +for manual verification in real Chrome (Playwright cannot reliably +drive ``'s textarea in headless mode — separate +testability issue tracked at +[`CopilotKit/CopilotKit#4215`](https://github.com/CopilotKit/CopilotKit/issues/4215)). + +## Upstream issues (informational) + +- [`ag-ui-protocol/ag-ui#1582`](https://github.com/ag-ui-protocol/ag-ui/issues/1582): + `RUN_FINISHED` emitted with LangGraph's internal `run_id` instead of + the client-supplied one. Worked around by `_RunIdPreserving` in + `evaluator_agent.py`. +- [`ag-ui-protocol/ag-ui#1584`](https://github.com/ag-ui-protocol/ag-ui/issues/1584): + Duplicate `RUN_STARTED` on the `has_active_interrupts` re-entry path. + Avoided by construction in this sample (no `interrupt()` call). + +Both manifest in the browser as `RUN_ERROR` / `INCOMPLETE_STREAM` if +you take the `interrupt()` path. The pattern in this sample sidesteps +them. diff --git a/samples/copilotkit/agents/evaluator_agent.py b/samples/copilotkit/agents/evaluator_agent.py index 9a452b06..c88efff0 100644 --- a/samples/copilotkit/agents/evaluator_agent.py +++ b/samples/copilotkit/agents/evaluator_agent.py @@ -1,42 +1,72 @@ +"""CopilotKit Evaluator Agent — LayerLens SDK edition. + +Uses CopilotKit's current HITL idiom: ``langchain.agents.create_agent`` + +``CopilotKitMiddleware``. The LLM drives the conversation and calls tools; +the human-in-the-loop step is a **frontend-defined tool** (``confirm_judge``) +registered with ``useCopilotAction`` in the browser. ``CopilotKitMiddleware`` +bridges the frontend tool into the LLM's toolbelt, so from the graph's +perspective it looks like any other tool call. + +This replaces an earlier design that used a custom ``StateGraph`` with +``langgraph.types.interrupt()`` for HITL. That path hit two upstream bugs +in ``ag-ui-langgraph`` (``ag-ui-protocol/ag-ui#1582`` and ``#1584``) and +needed a local workaround subclass. This version sidesteps the +``interrupt()`` pipeline entirely — the LLM + frontend-tool pattern is +what CopilotKit's active showcases use (``hitl_in_chat_agent.py``, +``interrupt_agent.py``) and is the pattern we recommend. + +Flow driven by the system prompt: + +1. LLM calls ``list_recent_traces`` to see what's available. +2. LLM calls ``list_judges`` to see evaluation criteria. +3. LLM calls ``confirm_judge`` (frontend tool) with the candidates. + The frontend renders a picker; the user selects one; the picker + resolves with the chosen judge. The LLM receives the selection as + the tool's return value. +4. LLM calls ``run_trace_evaluation`` for each trace with the chosen + judge, then ``get_evaluation_result`` to fetch outcomes. +5. LLM summarises the pass/fail results for the user. + +Requires ``OPENAI_API_KEY`` in the environment. Set +``LAYERLENS_STRATIX_API_KEY`` so the tools can call the LayerLens API. """ -CopilotKit Evaluator Agent -- LayerLens SDK edition. -This agent lets an operator: - 1. List available judges - 2. List recent traces - 3. Pick a judge (with human-in-the-loop confirmation via LangGraph interrupt) - 4. Run evaluations for every selected trace against the confirmed judge - 5. Poll / fetch evaluation results - -All LayerLens API calls go through the Python SDK (`layerlens.Stratix`) -instead of raw httpx. -""" - -from __future__ import annotations - -import asyncio +import os +import json import logging +import operator import threading -from typing import Any, Dict, List, Optional -from dataclasses import field, dataclass - -from langgraph.graph import END, StateGraph -from langgraph.types import interrupt - -# CopilotKit helpers -- keep the CopilotKit structure intact -from langchain_core.messages import AIMessage, BaseMessage, HumanMessage +from typing import Any, Dict, Optional, Annotated + +from copilotkit import CopilotKitMiddleware +from langgraph.types import Command +from langchain.agents import create_agent +from langchain_openai import ChatOpenAI +from langgraph.prebuilt import InjectedState +from copilotkit.langgraph import copilotkit_emit_state +from langchain_core.tools import tool +from langchain_core.messages import ToolMessage +from langchain_core.runnables import RunnableConfig +from langchain_core.tools.base import InjectedToolCallId +from langchain.agents.middleware import AgentState +from langgraph.checkpoint.memory import InMemorySaver from layerlens import Stratix logger = logging.getLogger(__name__) +# When run under uvicorn the root logger is configured at INFO; make sure +# our messages propagate so tool activity is visible in the harness log. +logger.setLevel(logging.INFO) + +# Polling bounds for get_evaluation_result so a stuck job doesn't hang a +# customer's chat indefinitely. The LLM will call get_evaluation_result +# repeatedly; we don't block the tool itself. +DEFAULT_POLL_DELAY_SECONDS = 1.0 +MAX_POLL_WAIT_SECONDS = 60.0 -MAX_POLL_ATTEMPTS = 30 -POLL_INITIAL_INTERVAL = 2.0 -POLL_MAX_INTERVAL = 15.0 -POLL_BACKOFF_FACTOR = 1.5 # --------------------------------------------------------------------------- -# Module-level SDK client (lazy) +# Lazy, thread-safe LayerLens client # --------------------------------------------------------------------------- _client_lock = threading.Lock() @@ -44,423 +74,485 @@ def _get_client() -> Stratix: - """Return (and lazily create) a module-level Stratix client. + """Return (and lazily create) a module-level ``Stratix`` client. Reads ``LAYERLENS_STRATIX_API_KEY`` automatically from the environment. """ global _client if _client is None: with _client_lock: - if _client is None: # double-check after acquiring lock + if _client is None: _client = Stratix() return _client # --------------------------------------------------------------------------- -# Lightweight data-transfer objects used inside the graph state +# Agent state schema +# +# Extending ``AgentState`` lets each tool return a ``Command(update={...})`` +# that mutates these fields. The frontend's ``useCoAgentStateRender`` then +# renders progressive cards (recent traces, available judges, running +# evaluations, completed results) keyed off the state — the canonical +# CopilotKit pattern from ``coagents-research-canvas``. +# +# ``Annotated[..., operator.add]`` makes a field accumulate across tool +# calls (we use this for ``evaluations`` and ``results`` since the LLM +# fires one ``run_trace_evaluation`` per trace and one +# ``get_evaluation_result`` per evaluation). The non-annotated fields +# replace on update. # --------------------------------------------------------------------------- -@dataclass -class JudgeInfo: - """Minimal representation of a LayerLens judge for the UI.""" - - id: str - name: str - goal: str - created_at: str - - -@dataclass -class TraceInfo: - """Minimal representation of a LayerLens trace for the UI.""" - - id: str - filename: str - created_at: str +class EvaluatorState(AgentState): + """Extended state schema surfaced to the frontend via STATE_SNAPSHOT.""" - -@dataclass -class EvaluationInfo: - """Tracks a single trace-evaluation that has been kicked off.""" - - evaluation_id: str - trace_id: str - judge_id: str - status: str - passed: Optional[bool] = None - score: Optional[float] = None - reasoning: Optional[str] = None + traces: list[dict[str, Any]] + judges: list[dict[str, Any]] + evaluations: Annotated[list[dict[str, Any]], operator.add] + results: Annotated[list[dict[str, Any]], operator.add] # --------------------------------------------------------------------------- -# Graph state +# Backend tools — these call the LayerLens SDK # --------------------------------------------------------------------------- -@dataclass -class EvaluatorState: - """LangGraph state for the evaluator agent.""" - - messages: List[BaseMessage] = field(default_factory=list) - judges: List[JudgeInfo] = field(default_factory=list) - traces: List[TraceInfo] = field(default_factory=list) - selected_judge: Optional[JudgeInfo] = None - confirmed_judge: Optional[JudgeInfo] = None - evaluations: List[EvaluationInfo] = field(default_factory=list) - step: str = "start" - error: Optional[str] = None - poll_count: int = 0 +@tool +async def list_judges( + tool_call_id: Annotated[str, InjectedToolCallId] = "", + state: Annotated[dict, InjectedState] = None, + config: RunnableConfig = None, +) -> Command: + """List available LayerLens judges (evaluation criteria). - -# --------------------------------------------------------------------------- -# SDK helper wrappers -# --------------------------------------------------------------------------- + Updates ``state.judges`` with ``{"id", "name", "goal"}`` dicts so the + frontend can render the available-judges card. + """ + client = _get_client() + resp = client.judges.get_many() + judges: list[dict[str, Any]] = [] + if resp is not None: + judges = [{"id": j.id, "name": j.name, "goal": j.evaluation_goal} for j in resp.judges] + # Push state to the frontend immediately so the canvas updates as + # this tool completes — without this, ag-ui-langgraph batches state + # snapshots until the LLM's tool-calling round wraps up, which makes + # ``MetricCard`` / ``JudgesCard`` lag the actual data. + if config is not None: + merged = {**(state or {}), "judges": judges} + await copilotkit_emit_state(config, merged) + return Command( + update={ + "judges": judges, + "messages": [ + ToolMessage( + content=json.dumps(judges), + tool_call_id=tool_call_id, + name="list_judges", + ) + ], + } + ) -def _list_judges() -> List[JudgeInfo]: - """Fetch all judges via the SDK and map to JudgeInfo.""" - client = _get_client() - try: - resp = client.judges.get_many() - if resp is None: - return [] - return [ - JudgeInfo( - id=j.id, - name=j.name, - goal=j.evaluation_goal, - created_at=j.created_at, - ) - for j in resp.judges - ] - except Exception as exc: - logger.error("Failed to list judges: %s", exc) - return [] +@tool +async def list_recent_traces( + limit: int = 20, + tool_call_id: Annotated[str, InjectedToolCallId] = "", + state: Annotated[dict, InjectedState] = None, + config: RunnableConfig = None, +) -> Command: + """List the most recent LayerLens traces in this project. + Args: + limit: Maximum number of traces to return (default 20). -def _list_traces(limit: int = 20) -> List[TraceInfo]: - """Fetch recent traces via the SDK, sorted newest-first.""" + Updates ``state.traces`` with rich trace dicts (id, filename, + created_at, model, duration_ms, tokens, evaluations_count) so the + frontend's ``TraceCard`` can render real per-trace metrics. + """ client = _get_client() - try: - resp = client.traces.get_many( - page_size=limit, - sort_by="created_at", - sort_order="desc", - ) - if resp is None: - return [] - return [ - TraceInfo( - id=t.id, - filename=t.filename, - created_at=t.created_at, + resp = client.traces.get_many(page_size=limit, sort_by="created_at", sort_order="desc") + traces: list[dict[str, Any]] = [] + if resp is not None: + for t in resp.traces: + data = getattr(t, "data", None) or {} + if hasattr(data, "model_dump"): + data = data.model_dump() + traces.append( + { + "id": t.id, + "filename": t.filename, + "created_at": t.created_at, + "model": (data.get("model") if isinstance(data, dict) else None) or "", + "duration_ms": (data.get("latency_ms") if isinstance(data, dict) else None) or 0, + "tokens": (data.get("tokens") if isinstance(data, dict) else None) or 0, + "evaluations_count": getattr(t, "evaluations_count", 0) or 0, + } ) - for t in resp.traces - ] - except Exception as exc: - logger.error("Failed to list traces: %s", exc) - return [] + if config is not None: + merged = {**(state or {}), "traces": traces} + await copilotkit_emit_state(config, merged) + return Command( + update={ + "traces": traces, + "messages": [ + ToolMessage( + content=json.dumps(traces), + tool_call_id=tool_call_id, + name="list_recent_traces", + ) + ], + } + ) -def _create_evaluation(trace_id: str, judge_id: str) -> Optional[EvaluationInfo]: - """Kick off an evaluation for a single trace/judge pair.""" - client = _get_client() - try: - te = client.trace_evaluations.create(trace_id=trace_id, judge_id=judge_id) - if te is None: - return None - return EvaluationInfo( - evaluation_id=te.id, - trace_id=te.trace_id, - judge_id=te.judge_id, - status=te.status.value if hasattr(te.status, "value") else str(te.status), - ) - except Exception as exc: - logger.error("Failed to create evaluation: %s", exc) - return None - - -def _get_evaluation(evaluation_id: str) -> Optional[EvaluationInfo]: - """Fetch the current status (and results if finished) for an evaluation.""" +@tool +async def run_trace_evaluation( + trace_id: str, + judge_id: str, + tool_call_id: Annotated[str, InjectedToolCallId] = "", + state: Annotated[dict, InjectedState] = None, + config: RunnableConfig = None, +) -> Command: + """Start a LayerLens evaluation for a single trace against a judge. + + Args: + trace_id: The trace to evaluate. + judge_id: The judge (evaluation criteria) to use. + + Appends an ``{"evaluation_id", "trace_id", "judge_id", "status"}`` + entry to ``state.evaluations`` so the frontend can render a + "running" card. Status starts as ``"pending"`` (or whatever the + backend reports); poll ``get_evaluation_result`` for the verdict. + """ client = _get_client() - try: - te = client.trace_evaluations.get(evaluation_id) - if te is None: - return None - info = EvaluationInfo( - evaluation_id=te.id, - trace_id=te.trace_id, - judge_id=te.judge_id, - status=te.status.value if hasattr(te.status, "value") else str(te.status), - ) - - # If the evaluation finished, pull detailed results - if info.status == "success": - results_resp = client.trace_evaluations.get_results(id=evaluation_id) - if results_resp and results_resp.score is not None: - info.passed = results_resp.passed - info.score = results_resp.score - info.reasoning = results_resp.reasoning - - return info - except Exception as exc: - logger.error("Failed to get evaluation %s: %s", evaluation_id, exc) - return None - - -# --------------------------------------------------------------------------- -# LangGraph node functions -# --------------------------------------------------------------------------- - - -async def fetch_judges_node(state: EvaluatorState) -> Dict[str, Any]: - """Node: fetch the list of available judges.""" - judges = await asyncio.to_thread(_list_judges) - if not judges: - return { - "judges": [], - "step": "error", - "error": "No judges found. Create a judge in LayerLens first.", - "messages": state.messages - + [AIMessage(content="No judges found. Please create a judge in LayerLens first.")], + ev = client.trace_evaluations.create(trace_id=trace_id, judge_id=judge_id) + if ev is None: + ev_data = { + "evaluation_id": "", + "trace_id": trace_id, + "judge_id": judge_id, + "status": "failed", + "error": "create returned None", } - - summary = "\n".join(f" - **{j.name}** (`{j.id}`): {j.goal}" for j in judges) - msg = f"Found {len(judges)} judge(s):\n{summary}" - return { - "judges": judges, - "step": "fetch_traces", - "messages": state.messages + [AIMessage(content=msg)], - } - - -async def fetch_traces_node(state: EvaluatorState) -> Dict[str, Any]: - """Node: fetch the most recent traces.""" - traces = await asyncio.to_thread(_list_traces, 20) - if not traces: - return { - "traces": [], - "step": "error", - "error": "No traces found. Upload traces to LayerLens first.", - "messages": state.messages + [AIMessage(content="No traces found. Please upload traces first.")], + else: + status = ev.status.value if hasattr(ev.status, "value") else str(ev.status) + ev_data = { + "evaluation_id": ev.id, + "trace_id": ev.trace_id, + "judge_id": ev.judge_id, + "status": status, } - - summary = "\n".join(f" - `{t.id}` ({t.filename}, {t.created_at})" for t in traces[:10]) - msg = f"Found {len(traces)} recent trace(s). Showing first 10:\n{summary}" - return { - "traces": traces, - "step": "confirm_judge", - "messages": state.messages + [AIMessage(content=msg)], - } - - -async def confirm_judge_node(state: EvaluatorState) -> Dict[str, Any]: - """Node: ask the human to confirm which judge to use (interrupt).""" - if not state.judges: - return {"step": "error", "error": "No judges available."} - - # Default to the first judge; the user can override - default = state.judges[0] - prompt = ( - f"Which judge should I use? Default: **{default.name}** (`{default.id}`).\n" - "Reply with a judge ID or name, or 'ok' to accept the default." - ) - - # LangGraph interrupt -- pauses execution and waits for human input - human_input: str = interrupt(prompt) - - selected = default - if human_input and human_input.strip().lower() != "ok": - needle = human_input.strip().lower() - for j in state.judges: - if needle in (j.id.lower(), j.name.lower()): - selected = j - break - - return { - "selected_judge": selected, - "confirmed_judge": selected, - "step": "run_evaluations", - "messages": state.messages - + [ - HumanMessage(content=human_input), - AIMessage(content=f"Using judge **{selected.name}** (`{selected.id}`)."), - ], - } - - -async def run_evaluations_node(state: EvaluatorState) -> Dict[str, Any]: - """Node: kick off evaluations for every trace with the confirmed judge.""" - judge = state.confirmed_judge - if judge is None: - return {"step": "error", "error": "No judge confirmed."} - - results: List[EvaluationInfo] = [] - for trace in state.traces: - info = await asyncio.to_thread(_create_evaluation, trace.id, judge.id) - if info is not None: - results.append(info) - - if not results: - return { - "evaluations": [], - "step": "error", - "error": "All evaluation requests failed.", - "messages": state.messages + [AIMessage(content="Failed to create any evaluations.")], + if config is not None: + prev_evals = (state or {}).get("evaluations", []) or [] + merged = {**(state or {}), "evaluations": [*prev_evals, ev_data]} + await copilotkit_emit_state(config, merged) + return Command( + update={ + "evaluations": [ev_data], + "messages": [ + ToolMessage( + content=json.dumps(ev_data), + tool_call_id=tool_call_id, + name="run_trace_evaluation", + ) + ], } + ) - msg = f"Started {len(results)} evaluation(s) with judge **{judge.name}**." - return { - "evaluations": results, - "step": "poll_results", - "messages": state.messages + [AIMessage(content=msg)], - } - - -async def poll_results_node(state: EvaluatorState) -> Dict[str, Any]: - """Node: poll evaluation results with bounded retries and backoff.""" - updated: List[EvaluationInfo] = [] - for ev in state.evaluations: - refreshed = await asyncio.to_thread(_get_evaluation, ev.evaluation_id) - updated.append(refreshed if refreshed is not None else ev) - - finished = [e for e in updated if e.status in ("success", "failure")] - pending = [e for e in updated if e.status not in ("success", "failure")] - - lines: List[str] = [] - for e in finished: - verdict = "PASS" if e.passed else "FAIL" if e.passed is not None else "N/A" - lines.append(f" - trace `{e.trace_id}`: {verdict} (score={e.score})") - for e in pending: - lines.append(f" - trace `{e.trace_id}`: {e.status}") - summary = "\n".join(lines) if lines else "(no evaluations)" +@tool +async def get_evaluation_result( + evaluation_id: str, + tool_call_id: Annotated[str, InjectedToolCallId] = "", + state: Annotated[dict, InjectedState] = None, + config: RunnableConfig = None, +) -> Command: + """Get the result of a previously-started LayerLens evaluation. - poll_count = state.poll_count + Args: + evaluation_id: The id returned by ``run_trace_evaluation``. - if not pending or poll_count >= MAX_POLL_ATTEMPTS: - if pending: - summary += ( - f"\n\n(Stopped polling after {MAX_POLL_ATTEMPTS} attempts; {len(pending)} evaluation(s) still pending.)" - ) - msg = f"Evaluation results ({len(finished)} done, {len(pending)} pending):\n{summary}" - return { - "evaluations": updated, - "step": "done", - "messages": state.messages + [AIMessage(content=msg)], + Returns ``{"status", "passed", "score", "reasoning"}`` once the + evaluation completes, or ``{"status": }`` when still running. + On success, also appends an entry to ``state.results`` so the + frontend can render an EvaluationCard for it. + """ + client = _get_client() + ev = client.trace_evaluations.get(evaluation_id) + if ev is None: + result_data: Dict[str, Any] = { + "evaluation_id": evaluation_id, + "status": "not_found", } - - msg = f"Evaluation results ({len(finished)} done, {len(pending)} pending):\n{summary}" - - # Sleep between polls with exponential backoff to avoid hammering the API - poll_delay = min( - POLL_INITIAL_INTERVAL * (POLL_BACKOFF_FACTOR**poll_count), - POLL_MAX_INTERVAL, - ) - await asyncio.sleep(poll_delay) - - return { - "evaluations": updated, - "step": "poll_results", - "poll_count": poll_count + 1, - "messages": state.messages + [AIMessage(content=msg)], + else: + status = ev.status.value if hasattr(ev.status, "value") else str(ev.status) + # ``trace_id`` and ``judge_id`` come straight off the evaluation + # record so the frontend can resolve them against ``state.judges`` + # (judge name) without a second round-trip. + base = { + "evaluation_id": evaluation_id, + "status": status, + "trace_id": getattr(ev, "trace_id", "") or "", + "judge_id": getattr(ev, "judge_id", "") or "", + } + if status != "success": + result_data = base + else: + details = client.trace_evaluations.get_results(id=evaluation_id) + if details is None or details.score is None: + result_data = base + else: + result_data = { + **base, + "passed": bool(details.passed), + "score": float(details.score), + "reasoning": details.reasoning, + } + update: Dict[str, Any] = { + "messages": [ + ToolMessage( + content=json.dumps(result_data), + tool_call_id=tool_call_id, + name="get_evaluation_result", + ) + ], } - - -async def error_node(state: EvaluatorState) -> Dict[str, Any]: - """Terminal node when an error has occurred.""" - return {"step": "done"} + # Only append to ``results`` once we have a real verdict — pending + # polls shouldn't pile cards onto the UI. + if result_data.get("status") == "success" and "score" in result_data: + update["results"] = [result_data] + if config is not None: + prev_results = (state or {}).get("results", []) or [] + merged = {**(state or {}), "results": [*prev_results, result_data]} + await copilotkit_emit_state(config, merged) + return Command(update=update) + + +# Expose the backend tools for tests and for the server wiring. The +# ``confirm_judge`` HITL tool is defined on the frontend via +# ``useCopilotAction`` and bridged into the LLM's toolbelt by +# ``CopilotKitMiddleware``. +BACKEND_TOOLS = [ + list_judges, + list_recent_traces, + run_trace_evaluation, + get_evaluation_result, +] # --------------------------------------------------------------------------- -# Routing +# System prompt — guides the LLM through the evaluation flow # --------------------------------------------------------------------------- - -def route_step(state: EvaluatorState) -> str: - step = state.step - if step == "fetch_traces": - return "fetch_traces" - if step == "confirm_judge": - return "confirm_judge" - if step == "run_evaluations": - return "run_evaluations" - if step == "poll_results": - return "poll_results" - if step == "error": - return "error" - return "done" +SYSTEM_PROMPT = """\ +You are LayerLens's evaluation assistant. The frontend renders a rich +canvas showing traces, judges, and evaluation results from agent +state. Your chat messages are NOT the primary UI — keep them short, +factual, and forward-looking. + +Flow (call tools in this order, do not skip or reorder): + +1. ``list_recent_traces`` with the DEFAULT limit (do not pass any + ``limit`` argument). The canvas needs the full trace list. +2. ``list_judges`` +3. ``confirm_judge`` with NO arguments — the frontend reads candidates + from state and shows a picker. Wait for the user's selection. +4. From the trace list returned in step 1, take the FIRST FIVE traces + only and call ``run_trace_evaluation(trace_id, judge_id)`` once for + each, using the judge_id the user picked. Do not call + run_trace_evaluation for more than five traces. +5. Real LayerLens evaluations take 30+ seconds to complete, longer + than a chat turn should block. Do NOT poll. The frontend polls + the backend's ``/evaluations/{id}`` endpoint and folds completed + verdicts into the canvas as each one finishes. + - You MAY call ``get_evaluation_result(evaluation_id)`` ONCE per + evaluation to capture any that already happen to be done. + Do not call it more than once for the same id. +6. End with ONE short message. Choose the variant that matches what + you actually observed (do NOT include zero-counts or stale clauses): + + - If K = 0 (no evaluations are done yet): + "Started evaluations against . They will appear in + the canvas as they finish." + + - If 0 < K < N (some done, some pending): + "Started evaluations against . already complete + ( passed, failed). The rest will appear in + the canvas as they finish." + + - If K == N (all done already): + "Evaluated traces against : passed, + failed." + + K = number of get_evaluation_result calls that returned + status="success". Do NOT classify pending evaluations as failed, + and never include "0 already complete" or similar zero-clauses. + +Chat narration rules: +- Do NOT echo what the canvas already shows (counts, judge name, + per-trace verdicts, scores). +- Do NOT repeat steps you have already completed ("now I'll load the + judges" after you've already listed them). +- One short status sentence per phase is enough; silence is fine. +- NEVER mention internal field names like ``state.traces``. +""" # --------------------------------------------------------------------------- -# Build the LangGraph StateGraph +# Build the graph # --------------------------------------------------------------------------- -def build_graph() -> StateGraph: - graph = StateGraph(EvaluatorState) +def _default_model() -> Any: + """Build the default chat model from environment variables. - graph.add_node("fetch_judges", fetch_judges_node) - graph.add_node("fetch_traces", fetch_traces_node) - graph.add_node("confirm_judge", confirm_judge_node) - graph.add_node("run_evaluations", run_evaluations_node) - graph.add_node("poll_results", poll_results_node) - graph.add_node("error", error_node) + The sample accepts any OpenAI-compatible endpoint, not just OpenAI + itself. Three environment variables shape the call: - graph.set_entry_point("fetch_judges") + - ``OPENAI_API_KEY`` (required) — credential for the endpoint. + - ``OPENAI_BASE_URL`` (optional) — full base URL of an + OpenAI-compatible server. Leave unset for OpenAI itself. + - ``OPENAI_MODEL`` (optional) — model name to send. Defaults to + ``gpt-4o-mini``. - graph.add_conditional_edges( - "fetch_judges", - route_step, - { - "fetch_traces": "fetch_traces", - "error": "error", - "done": END, - }, - ) - graph.add_conditional_edges( - "fetch_traces", - route_step, - { - "confirm_judge": "confirm_judge", - "error": "error", - "done": END, - }, - ) - graph.add_conditional_edges( - "confirm_judge", - route_step, - { - "run_evaluations": "run_evaluations", - "error": "error", - "done": END, - }, - ) - graph.add_conditional_edges( - "run_evaluations", - route_step, - { - "poll_results": "poll_results", - "error": "error", - "done": END, - }, + Anything that speaks OpenAI's HTTP shape works: hosted gateways, + self-hosted inference (Ollama, LM Studio, vLLM, llama.cpp), or + private deployments. For non-OpenAI-compatible models (Anthropic, + Google, etc.) pass the relevant LangChain ``BaseChatModel`` + directly via ``build_graph(model=ChatAnthropic(...))``. + """ + kwargs: Dict[str, Any] = { + "model": os.environ.get("OPENAI_MODEL", "gpt-4o-mini"), + } + if api_key := os.environ.get("OPENAI_API_KEY"): + kwargs["api_key"] = api_key + if base_url := os.environ.get("OPENAI_BASE_URL"): + kwargs["base_url"] = base_url + # Parallel tool calls are enabled (the default) so the LLM can fan + # out ``run_trace_evaluation`` and ``get_evaluation_result`` across + # many traces in a single turn. The HITL picker race that motivated + # disabling this is no longer a concern: ``JudgePicker`` subscribes + # to ``useCoAgent`` directly and re-renders when ``state.judges`` + # populates, so a same-turn emission of ``confirm_judge`` is fine. + return ChatOpenAI(**kwargs) + + +def build_graph(model: Optional[Any] = None): + """Construct the evaluator agent graph. + + Pattern matches CopilotKit's ``examples/integrations/langgraph-fastapi`` + reference and its ``hitl_in_chat_agent.py`` showcase: a ``create_agent`` + with backend tools, ``CopilotKitMiddleware``, and a system prompt that + references a frontend-defined HITL tool (``confirm_judge``). + + Args: + model: Override for the underlying chat model. Defaults to + ``_default_model()`` which honours ``OPENAI_API_KEY``, + ``OPENAI_BASE_URL``, and ``OPENAI_MODEL`` so any + OpenAI-compatible endpoint works. Tests inject a fake + model here. + """ + if model is None: + model = _default_model() + return create_agent( + model=model, + tools=BACKEND_TOOLS, + middleware=[CopilotKitMiddleware()], + system_prompt=SYSTEM_PROMPT, + state_schema=EvaluatorState, + # ag-ui-langgraph's endpoint calls ``graph.aget_state(config)`` + # to look up per-thread state on each request -- which fails + # with "No checkpointer set" if the graph wasn't compiled with + # one. Production deployments should swap to a durable saver + # (Postgres, SQLite, Redis, LangGraph Platform). + checkpointer=InMemorySaver(), ) - graph.add_conditional_edges( - "poll_results", - route_step, - { - "poll_results": "poll_results", - "done": END, - }, + # NOTE: recursion_limit is set on ``LangGraphAGUIAgent`` (in + # ``build_agui_agent`` below) rather than via ``graph.with_config`` + # because ag-ui-langgraph constructs its own RunnableConfig from + # ``self.config`` per request — ``with_config`` bindings don't + # propagate through that path. + + +# Pre-compiled graph for import by the FastAPI server. Customers with +# ``OPENAI_API_KEY`` set will have this initialised at import time; those +# without a key can still inspect ``BACKEND_TOOLS`` and ``SYSTEM_PROMPT`` +# without instantiating the model. +try: + evaluator_graph = build_graph() +except Exception as exc: # pragma: no cover — informative import-time guard + logger.warning( + "Could not build default evaluator_graph (%s). Set OPENAI_API_KEY " + "or call build_graph(model=) explicitly.", + exc, ) - graph.add_edge("error", END) + evaluator_graph = None # type: ignore[assignment] + + +# --------------------------------------------------------------------------- +# build_agui_agent — minimal runId workaround for ag-ui-langgraph#1582 +# --------------------------------------------------------------------------- +# +# ``ag_ui_langgraph.LangGraphAgent._handle_stream_events`` (inherited by +# ``copilotkit.LangGraphAGUIAgent``) overwrites ``self.active_run["id"]`` +# with each LangGraph event's internal chain ``run_id``, so the eventual +# ``RUN_FINISHED`` is emitted with LangGraph's UUID instead of +# ``input.run_id``. Tracked at +# https://github.com/ag-ui-protocol/ag-ui/issues/1582. +# +# The current ``@ag-ui/client@0.0.52`` validator does NOT enforce runId +# continuity (only within-stream start/finish ordering), so this +# mismatch isn't user-visible today. But: older clients did enforce it, +# future strict ones likely will, and a paying customer's logs +# shouldn't carry an obvious protocol violation. So this thin subclass +# restores ``input.run_id`` on terminal events. +# +# This is the ONLY workaround needed for the current evaluator +# architecture. Bug #1584 (duplicate RUN_STARTED in the +# ``has_active_interrupts`` path) is not reachable here because the +# evaluator does not call ``langgraph.types.interrupt()`` -- HITL is +# handled by a frontend tool (``confirm_judge``) instead. +# +# Remove this subclass once #1582 ships and the fixed +# ``ag-ui-langgraph`` release is pinned in ``requirements.lock``. + + +def build_agui_agent(**kwargs): + """Build a ``LangGraphAGUIAgent`` with the runId workaround applied. + + Caller-supplied ``config`` is merged onto our defaults — in + particular ``recursion_limit`` is bumped from LangGraph's default + (25) to 200 so a 20-trace evaluation run with parallel tool calls + has plenty of headroom for the chat / tool / chat / poll cycle. + """ + from typing import Optional as _Optional + + from ag_ui.core import EventType + from copilotkit import LangGraphAGUIAgent + + default_config = {"recursion_limit": 200} + merged_config = {**default_config, **(kwargs.pop("config", None) or {})} + kwargs["config"] = merged_config - return graph + class _RunIdPreserving(LangGraphAGUIAgent): + def __init__(self, **inner_kwargs): + super().__init__(**inner_kwargs) + self._client_run_id: _Optional[str] = None + async def run(self, input): + self._client_run_id = input.run_id + async for event in super().run(input): + event_type = getattr(event, "type", None) + if ( + event_type in (EventType.RUN_FINISHED, EventType.RUN_ERROR) + and self._client_run_id + and hasattr(event, "run_id") + ): + event.run_id = self._client_run_id + yield event -# Pre-compiled graph for import -evaluator_graph = build_graph().compile() + return _RunIdPreserving(**kwargs) # --------------------------------------------------------------------------- @@ -473,16 +565,26 @@ def main() -> None: print("Evaluator Agent (LayerLens SDK)") print("=" * 40) print() - print("This module exposes a LangGraph + CopilotKit agent that:") - print(" 1. Lists LayerLens judges") - print(" 2. Lists recent traces") - print(" 3. Asks the operator to confirm a judge (human-in-the-loop)") - print(" 4. Runs evaluations for each trace") - print(" 5. Polls for results") + print("A CopilotKit + LangGraph agent that:") + print(" 1. Fetches recent LayerLens traces.") + print(" 2. Fetches available judges (evaluation criteria).") + print(" 3. Uses a frontend `confirm_judge` tool to ask the user") + print(" which judge to apply (rendered via useCopilotAction).") + print(" 4. Runs evaluations and summarises the results.") + print() + print("Import `evaluator_graph` into your CopilotKit FastAPI server.") + print() + print("Required env vars:") + print(" LAYERLENS_STRATIX_API_KEY -- LayerLens API key") + print(" OPENAI_API_KEY -- credentials for the LLM") print() - print("Import `evaluator_graph` and wire it into your CopilotKit server.") + print("Optional (for non-OpenAI endpoints):") + print(" OPENAI_BASE_URL -- any OpenAI-compatible base URL") + print(" (any OpenAI-compatible server)") + print(" OPENAI_MODEL -- model name override (default: gpt-4o-mini)") print() - print("Required env var: LAYERLENS_STRATIX_API_KEY") + print("For non-OpenAI-compatible models, call build_graph(model=...)") + print("with any LangChain BaseChatModel (ChatAnthropic, ChatGoogle, ...).") if __name__ == "__main__": diff --git a/samples/copilotkit/agents/investigator_agent.py b/samples/copilotkit/agents/investigator_agent.py index bb4c340f..942f925a 100644 --- a/samples/copilotkit/agents/investigator_agent.py +++ b/samples/copilotkit/agents/investigator_agent.py @@ -482,7 +482,10 @@ def build_graph() -> StateGraph: graph.add_node("fetch_trace", fetch_trace_node) graph.add_node("analyze", analyze_node) - graph.add_node("error", error_node) + # Node name is ``handle_error`` rather than ``error`` to avoid colliding + # with the ``error`` field on ``InvestigatorState`` (older LangGraph + # versions reject nodes that share a name with a state key). + graph.add_node("handle_error", error_node) graph.set_entry_point("fetch_trace") @@ -491,17 +494,22 @@ def build_graph() -> StateGraph: route_step, { "analyze": "analyze", - "error": "error", + "error": "handle_error", "done": END, }, ) graph.add_edge("analyze", END) - graph.add_edge("error", END) + graph.add_edge("handle_error", END) return graph -# Pre-compiled graph for import +# Pre-compiled graph for import. +# +# No checkpointer is compiled in because this graph has no ``interrupt()`` +# calls and therefore never needs to pause/resume. If you add a human-in-the- +# loop step to this graph, you MUST also add a checkpointer -- see +# ``evaluator_agent.py`` and ``samples/copilotkit/README.md`` for the pattern. investigator_graph = build_graph().compile() diff --git a/samples/copilotkit/app/backend/requirements.lock b/samples/copilotkit/app/backend/requirements.lock new file mode 100644 index 00000000..0f9d1265 --- /dev/null +++ b/samples/copilotkit/app/backend/requirements.lock @@ -0,0 +1,46 @@ +ag-ui-langgraph==0.0.34 +ag-ui-protocol==0.1.18 +annotated-doc==0.0.4 +annotated-types==0.7.0 +anyio==4.13.0 +certifi==2026.4.22 +charset-normalizer==3.4.7 +click==8.3.3 +colorama==0.4.6 +copilotkit==0.1.87 +distro==1.9.0 +fastapi==0.136.0 +h11==0.16.0 +httpx==0.28.1 +idna==3.13 +jiter==0.14.0 +langchain==1.2.15 +langchain-core==1.3.2 +langchain-openai==1.2.1 +langchain-protocol==0.0.11 +langgraph==1.1.9 +langgraph-checkpoint==4.0.2 +langgraph-prebuilt==1.0.10 +langgraph-sdk==0.3.13 +layerlens==1.6.0 +openai==2.32.0 +orjson==3.11.8 +ormsgpack==1.12.2 +packaging==26.1 +pydantic_core==2.46.3 +pydantic==2.13.3 +PyYAML==6.0.3 +regex==2026.4.4 +requests==2.33.1 +requests-toolbelt==1.0.0 +sniffio==1.3.1 +starlette==1.0.0 +tenacity==9.1.4 +tiktoken==0.12.0 +tqdm==4.67.3 +typing_extensions==4.15.0 +typing-inspection==0.4.2 +urllib3==2.6.3 +uuid_utils==0.14.1 +uvicorn==0.46.0 +xxhash==3.6.0 diff --git a/samples/copilotkit/app/backend/requirements.txt b/samples/copilotkit/app/backend/requirements.txt new file mode 100644 index 00000000..3e0c9574 --- /dev/null +++ b/samples/copilotkit/app/backend/requirements.txt @@ -0,0 +1,24 @@ +# Runtime deps for the browser-test harness backend. +# +# Pinned to the CURRENT published versions of each package (the set real +# customers will install when following the sample). Matches the +# environment captured in DevRel's diagnostic bundle. +# +# Use ``pip install -r requirements.lock`` (committed alongside this file) +# to get byte-identical transitive deps. This plain requirements.txt is +# kept for readability. + +copilotkit==0.1.87 +langchain==1.2.15 +langchain-core==1.3.0 +langchain-openai>=1.1.0,<2.0.0 +langgraph==1.1.9 +ag-ui-langgraph==0.0.34 +fastapi==0.115.12 +uvicorn>=0.38.0 +pydantic>=2.0.0,<3.0.0 + +# The LayerLens SDK itself; the patch in server.py replaces +# ``layerlens.Stratix`` with a MagicMock before the evaluator is +# imported, so no real API key is required for the browser test. +layerlens>=1.6.0 diff --git a/samples/copilotkit/app/backend/server.py b/samples/copilotkit/app/backend/server.py new file mode 100644 index 00000000..33975b8a --- /dev/null +++ b/samples/copilotkit/app/backend/server.py @@ -0,0 +1,251 @@ +"""FastAPI server for the CopilotKit + LayerLens evaluator sample. + +Wires the sample's ``evaluator_graph`` (from +``samples/copilotkit/agents/evaluator_agent.py``) into a FastAPI app +via ``ag_ui_langgraph.add_langgraph_fastapi_endpoint`` at path +``/evaluator``. + +Real LayerLens only. There is no fake/fixture path: a missing or empty +``LAYERLENS_STRATIX_API_KEY`` is a hard error at startup, and the agent +talks to the real ``layerlens.Stratix`` client. + +Run with:: + + python server.py + +or:: + + uvicorn server:app --host 127.0.0.1 --port 8123 + +The Next.js frontend at ``samples/copilotkit/app/frontend/`` proxies +``/api/copilotkit`` to ``EVALUATOR_BACKEND_URL`` (defaults to +``http://127.0.0.1:8123/evaluator``). +""" + +from __future__ import annotations + +import os +import sys +import importlib.util +from pathlib import Path + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +# --------------------------------------------------------------------------- +# Auto-load credentials from gitignored .env files so a developer running +# the harness locally doesn't have to manually export env vars. Looks at +# ``samples/copilotkit/.env`` first (sample-local), then ``tests/.env`` +# (repo-level). Values already in the environment win. +# --------------------------------------------------------------------------- + +_THIS = Path(__file__).resolve() +_SAMPLE_ROOT = _THIS.parent.parent.parent # backend -> app -> copilotkit +_REPO_ROOT = _SAMPLE_ROOT.parent.parent # copilotkit -> samples -> repo +for env_path in [ + _SAMPLE_ROOT / ".env", + _REPO_ROOT / "tests" / ".env", +]: + if not env_path.is_file(): + continue + for raw_line in env_path.read_text(encoding="utf-8").splitlines(): + line = raw_line.strip() + if not line or line.startswith("#") or "=" not in line: + continue + k, _, v = line.partition("=") + os.environ.setdefault(k.strip(), v.strip().strip('"').strip("'")) + + +# --------------------------------------------------------------------------- +# Real-API guardrail. No fake fixtures, no MagicMock, no silent fallback. +# --------------------------------------------------------------------------- + +_real_key = os.environ.get("LAYERLENS_STRATIX_API_KEY", "").strip() +if not _real_key: + raise RuntimeError( + "LAYERLENS_STRATIX_API_KEY is required. Set it in your environment " + "or in samples/copilotkit/.env / tests/.env. This sample does not " + "ship a fake/fixture mode — it exercises the real LayerLens API." + ) + +masked = _real_key[:4] + "…" + _real_key[-4:] if len(_real_key) > 10 else "" +print(f"[harness] Stratix client: REAL (key={masked}).", flush=True) + + +# --------------------------------------------------------------------------- +# Import the evaluator agent from ``samples/copilotkit/agents``. +# Loaded by absolute path so the server works regardless of CWD, and +# stashed in ``sys.modules`` under a unique name so it does not clash +# with other tests that load the same module. +# --------------------------------------------------------------------------- + +# backend/server.py -> app/ -> copilotkit/ -> agents/ +AGENT_FILE = _SAMPLE_ROOT / "agents" / "evaluator_agent.py" +if not AGENT_FILE.exists(): + raise RuntimeError(f"Could not locate evaluator_agent.py at {AGENT_FILE}") + +_MOD_NAME = "copilotkit_evaluator_app" +_spec = importlib.util.spec_from_file_location(_MOD_NAME, str(AGENT_FILE)) +if _spec is None or _spec.loader is None: + raise RuntimeError(f"Failed to build import spec for {AGENT_FILE}") +_mod = importlib.util.module_from_spec(_spec) +sys.modules[_MOD_NAME] = _mod +_spec.loader.exec_module(_mod) + +evaluator_graph = _mod.evaluator_graph + + +# --------------------------------------------------------------------------- +# Build the FastAPI app and wire the AG-UI endpoint. +# --------------------------------------------------------------------------- + +from ag_ui_langgraph import add_langgraph_fastapi_endpoint # noqa: E402 + +app = FastAPI(title="copilotkit-evaluator-harness") + +# The Next.js runtime proxies to this server from its server-side route +# handler (not from the browser), so CORS is not strictly required. The +# permissive policy here lets direct browser probes work for diagnostics. +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=False, + allow_methods=["*"], + allow_headers=["*"], +) + + +@app.get("/healthz") +def healthz() -> dict[str, str]: + """Readiness probe.""" + return {"status": "ok"} + + +_TERMINAL_STATUSES = {"success", "failure", "error", "cancelled", "not_found"} + + +@app.get("/evaluations/{evaluation_id}") +def get_evaluation(evaluation_id: str) -> dict: + """Out-of-band polling endpoint for the frontend. + + The agent kicks off evaluations and ends without waiting for them + to complete (real LayerLens evaluations take 30+ seconds, far + longer than a chat turn should block). The frontend then polls + this endpoint every few seconds and folds completed verdicts into + the canvas as each evaluation finishes. + + Response shape:: + + { + "evaluation_id": "...", + "status": "in_progress" | "success" | "failure" | "error" + | "cancelled" | "not_found", + "done": bool, # true for any terminal state + "trace_id": "...", + "judge_id": "...", + # only present when ``done`` is true: + "passed": bool, + "score": float, # 0..1 (best-effort default if + # the judge didn't emit one) + "reasoning": str, + } + + The ``done`` flag lets the frontend stop polling regardless of + success/failure shape — without it a verdict that comes back as + e.g. ``status="failure"`` or ``status="success"`` with a null + score would loop forever. + """ + from layerlens import Stratix + + client = Stratix() + try: + ev = client.trace_evaluations.get(evaluation_id) + except Exception as exc: + # ``trace_evaluations.get`` raises on malformed / unauthorized + # ids. We don't want the polling loop to 500-spin on the + # frontend; surface a terminal "error" verdict instead. + return { + "evaluation_id": evaluation_id, + "status": "error", + "done": True, + "passed": False, + "score": 0.0, + "reasoning": f"Could not fetch evaluation: {exc.__class__.__name__}.", + } + if ev is None: + return { + "evaluation_id": evaluation_id, + "status": "not_found", + "done": True, + "passed": False, + "score": 0.0, + "reasoning": "Evaluation not found.", + } + status = ev.status.value if hasattr(ev.status, "value") else str(ev.status) + base = { + "evaluation_id": evaluation_id, + "status": status, + "done": status in _TERMINAL_STATUSES, + "trace_id": getattr(ev, "trace_id", "") or "", + "judge_id": getattr(ev, "judge_id", "") or "", + } + if not base["done"]: + return base + + # Terminal — try to surface the verdict. Non-success terminal + # states (failure / error / cancelled) get sensible defaults so + # the frontend has something concrete to render. + if status != "success": + return { + **base, + "passed": False, + "score": 0.0, + "reasoning": f"Evaluation ended with status='{status}'.", + } + details = client.trace_evaluations.get_results(id=evaluation_id) + if details is None or details.score is None: + return { + **base, + "passed": bool(getattr(details, "passed", False)) if details else False, + "score": 0.0, + "reasoning": ( + getattr(details, "reasoning", None) if details else None + ) + or "Evaluation completed without a numerical score.", + } + return { + **base, + "passed": bool(details.passed), + "score": float(details.score), + "reasoning": details.reasoning or "", + } + + +# Uses the sample's ``build_agui_agent`` factory so the small runId +# workaround for ag-ui-protocol/ag-ui#1582 is applied. +add_langgraph_fastapi_endpoint( + app, + agent=_mod.build_agui_agent(name="evaluator", graph=evaluator_graph), + path="/evaluator", +) + + +def main() -> None: + """Entry point: boot uvicorn against the FastAPI app. + + Honours ``HARNESS_HOST`` / ``HARNESS_PORT`` / ``HARNESS_LOG_LEVEL`` + env vars; defaults are 127.0.0.1:8123 and ``info``-level logging. + """ + import uvicorn + + uvicorn.run( + "server:app", + host=os.environ.get("HARNESS_HOST", "127.0.0.1"), + port=int(os.environ.get("HARNESS_PORT", "8123")), + log_level=os.environ.get("HARNESS_LOG_LEVEL", "info"), + reload=False, + ) + + +if __name__ == "__main__": + main() diff --git a/samples/copilotkit/app/frontend/.gitignore b/samples/copilotkit/app/frontend/.gitignore new file mode 100644 index 00000000..7db2740d --- /dev/null +++ b/samples/copilotkit/app/frontend/.gitignore @@ -0,0 +1,18 @@ +# Next.js / build outputs +.next/ +out/ +build/ + +# Dependencies +node_modules/ + +# Test artifacts +test-results/ +playwright-report/ +.playwright/ + +# Diagnostic / runtime +.backend.pid + +# Environment +.env*.local diff --git a/samples/copilotkit/app/frontend/app/api/copilotkit/route.ts b/samples/copilotkit/app/frontend/app/api/copilotkit/route.ts new file mode 100644 index 00000000..8fbb6664 --- /dev/null +++ b/samples/copilotkit/app/frontend/app/api/copilotkit/route.ts @@ -0,0 +1,48 @@ +/** + * CopilotKit runtime route handler. + * + * Bridges the browser-side CopilotKit client (````) + * to the FastAPI + ag_ui_langgraph backend served by ``backend/server.py``. + * + * The backend exposes the evaluator graph at ``POST /evaluator`` (see + * ``add_langgraph_fastapi_endpoint(app, agent=..., path="/evaluator")``), + * so ``LangGraphHttpAgent.url`` must point at that full path -- NOT the + * server root. + * + * ``ExperimentalEmptyAdapter`` is correct here because the LangGraph + * backend owns all LLM calls; the CopilotKit runtime does not need its + * own model adapter. + */ +import { + CopilotRuntime, + ExperimentalEmptyAdapter, + copilotRuntimeNextJSAppRouterEndpoint, +} from "@copilotkit/runtime"; +import { LangGraphHttpAgent } from "@copilotkit/runtime/langgraph"; +import { NextRequest } from "next/server"; + +// Runtime config -- run on Node, never cache. +export const runtime = "nodejs"; +export const dynamic = "force-dynamic"; + +const BACKEND_URL = + process.env.EVALUATOR_BACKEND_URL || "http://127.0.0.1:8123/evaluator"; + +const serviceAdapter = new ExperimentalEmptyAdapter(); + +const runtimeInstance = new CopilotRuntime({ + agents: { + evaluator: new LangGraphHttpAgent({ + url: BACKEND_URL, + }), + }, +}); + +export const POST = async (req: NextRequest) => { + const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({ + runtime: runtimeInstance, + serviceAdapter, + endpoint: "/api/copilotkit", + }); + return handleRequest(req); +}; diff --git a/samples/copilotkit/app/frontend/app/globals.css b/samples/copilotkit/app/frontend/app/globals.css new file mode 100644 index 00000000..37492586 --- /dev/null +++ b/samples/copilotkit/app/frontend/app/globals.css @@ -0,0 +1,195 @@ +@import "tailwindcss"; +@import "tw-animate-css"; + +/* The SDK card library lives outside this Next.js app's source tree. + Tailwind 4's automatic source detection only scans the project + root, so without an explicit ``@source`` directive the utility + classes used inside ``samples/copilotkit/components/*.tsx`` get + tree-shaken out of the generated CSS — colored severity pills + silently flatten to plain text. Pin the path. */ +@source "../../../components/**/*.{ts,tsx}"; + +/* shadcn/ui design tokens (Tailwind 4 syntax). The variables here come + from `npx shadcn@latest add` with `baseColor: neutral` and match the + conventions used across CopilotKit's own samples (research-canvas, + travel, banking) so the cards feel native to the ecosystem. + + Brand accent for LayerLens Stratix is layered on top via Tailwind + class strings (e.g. `bg-[#6766FC]`) at component sites — the same + pattern research-canvas uses for its `#6766FC` indigo. */ + +@custom-variant dark (&:is(.dark *)); + +:root { + --radius: 0.625rem; + --background: oklch(1 0 0); + --foreground: oklch(0.145 0 0); + --card: oklch(1 0 0); + --card-foreground: oklch(0.145 0 0); + --popover: oklch(1 0 0); + --popover-foreground: oklch(0.145 0 0); + --primary: oklch(0.205 0 0); + --primary-foreground: oklch(0.985 0 0); + --secondary: oklch(0.97 0 0); + --secondary-foreground: oklch(0.205 0 0); + --muted: oklch(0.97 0 0); + --muted-foreground: oklch(0.556 0 0); + --accent: oklch(0.97 0 0); + --accent-foreground: oklch(0.205 0 0); + --destructive: oklch(0.577 0.245 27.325); + --border: oklch(0.922 0 0); + --input: oklch(0.922 0 0); + --ring: oklch(0.708 0 0); + --chart-1: oklch(0.646 0.222 41.116); + --chart-2: oklch(0.6 0.118 184.704); + --chart-3: oklch(0.398 0.07 227.392); + --chart-4: oklch(0.828 0.189 84.429); + --chart-5: oklch(0.769 0.188 70.08); + --sidebar: oklch(0.985 0 0); + --sidebar-foreground: oklch(0.145 0 0); + --sidebar-primary: oklch(0.205 0 0); + --sidebar-primary-foreground: oklch(0.985 0 0); + --sidebar-accent: oklch(0.97 0 0); + --sidebar-accent-foreground: oklch(0.205 0 0); + --sidebar-border: oklch(0.922 0 0); + --sidebar-ring: oklch(0.708 0 0); +} + +.dark { + --background: oklch(0.145 0 0); + --foreground: oklch(0.985 0 0); + --card: oklch(0.205 0 0); + --card-foreground: oklch(0.985 0 0); + --popover: oklch(0.205 0 0); + --popover-foreground: oklch(0.985 0 0); + --primary: oklch(0.922 0 0); + --primary-foreground: oklch(0.205 0 0); + --secondary: oklch(0.269 0 0); + --secondary-foreground: oklch(0.985 0 0); + --muted: oklch(0.269 0 0); + --muted-foreground: oklch(0.708 0 0); + --accent: oklch(0.269 0 0); + --accent-foreground: oklch(0.985 0 0); + --destructive: oklch(0.704 0.191 22.216); + --border: oklch(1 0 0 / 10%); + --input: oklch(1 0 0 / 15%); + --ring: oklch(0.556 0 0); + --chart-1: oklch(0.488 0.243 264.376); + --chart-2: oklch(0.696 0.17 162.48); + --chart-3: oklch(0.769 0.188 70.08); + --chart-4: oklch(0.627 0.265 303.9); + --chart-5: oklch(0.645 0.246 16.439); + --sidebar: oklch(0.205 0 0); + --sidebar-foreground: oklch(0.985 0 0); + --sidebar-primary: oklch(0.488 0.243 264.376); + --sidebar-primary-foreground: oklch(0.985 0 0); + --sidebar-accent: oklch(0.269 0 0); + --sidebar-accent-foreground: oklch(0.985 0 0); + --sidebar-border: oklch(1 0 0 / 10%); + --sidebar-ring: oklch(0.556 0 0); +} + +@theme inline { + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --color-chart-1: var(--chart-1); + --color-chart-2: var(--chart-2); + --color-chart-3: var(--chart-3); + --color-chart-4: var(--chart-4); + --color-chart-5: var(--chart-5); + --color-sidebar: var(--sidebar); + --color-sidebar-foreground: var(--sidebar-foreground); + --color-sidebar-primary: var(--sidebar-primary); + --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); + --color-sidebar-accent: var(--sidebar-accent); + --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); + --color-sidebar-border: var(--sidebar-border); + --color-sidebar-ring: var(--sidebar-ring); +} + +@layer base { + * { + border-color: var(--border); + outline-color: color-mix(in oklch, var(--ring) 50%, transparent); + } + body { + background-color: var(--background); + color: var(--foreground); + } +} + +/* CopilotChat token bridge. + CopilotKit's chat widget reads its own ``--copilot-kit-*`` palette + (see ``packages/react-ui/src/css/colors.css``). The semantics from + that file: + + primary-color = user message bubble + interactive accents + contrast-color = text on primary + secondary-color = assistant message / card background + secondary-contrast-color= main content text on secondary + background-color = chat page background + muted-color = disabled / placeholder + separator-color = borders / dividers + input-background-color = textarea bg + + We map each onto the shadcn neutral token with the matching role + so the chat feels native in both light and dark. Brand accent + (#6766FC) is applied separately on actual CTA buttons via Tailwind + classes — not by hijacking ``secondary-color``, which would make + assistant messages render as solid indigo bubbles. */ + +:root { + --copilot-kit-background-color: var(--background); + --copilot-kit-primary-color: var(--primary); + --copilot-kit-contrast-color: var(--primary-foreground); + --copilot-kit-secondary-color: var(--card); + --copilot-kit-secondary-contrast-color: var(--card-foreground); + --copilot-kit-separator-color: var(--border); + --copilot-kit-muted-color: var(--muted-foreground); + --copilot-kit-input-background-color: var(--background); +} + +.dark { + --copilot-kit-background-color: var(--background); + --copilot-kit-primary-color: var(--primary); + --copilot-kit-contrast-color: var(--primary-foreground); + --copilot-kit-secondary-color: var(--card); + --copilot-kit-secondary-contrast-color: var(--card-foreground); + --copilot-kit-separator-color: var(--border); + --copilot-kit-muted-color: var(--muted-foreground); + --copilot-kit-input-background-color: var(--input); +} + +html, +body { + padding: 0; + margin: 0; + font-family: + ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", + Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, + "Apple Color Emoji", "Segoe UI Emoji"; +} + +* { + box-sizing: border-box; +} diff --git a/samples/copilotkit/app/frontend/app/layout.tsx b/samples/copilotkit/app/frontend/app/layout.tsx new file mode 100644 index 00000000..5b9fc609 --- /dev/null +++ b/samples/copilotkit/app/frontend/app/layout.tsx @@ -0,0 +1,43 @@ +import "@copilotkit/react-ui/styles.css"; +import "./globals.css"; + +import type { Metadata } from "next"; +import type { ReactNode } from "react"; + +import { CopilotKit } from "@copilotkit/react-core"; + +export const metadata: Metadata = { + title: "LayerLens Evaluator — CopilotKit Sample", + description: + "CopilotKit + LangGraph + LayerLens sample: evaluate agent traces against judges.", +}; + +export default function RootLayout({ + children, +}: { + children: ReactNode; +}) { + // Default to light to match CopilotKit's official samples + // (``coagents-research-canvas``, ``travel``, ``with-shadcn-ui``). + // The ``ThemeToggle`` client component hydrates the user's + // persisted preference from localStorage on mount. + return ( + + + {/* + ``agent="evaluator"`` matches the key used when wiring the + LangGraphHttpAgent in ``app/api/copilotkit/route.ts``: + new CopilotRuntime({ agents: { evaluator: ... } }) + */} + + {children} + + + + ); +} diff --git a/samples/copilotkit/app/frontend/app/page.tsx b/samples/copilotkit/app/frontend/app/page.tsx new file mode 100644 index 00000000..2a058463 --- /dev/null +++ b/samples/copilotkit/app/frontend/app/page.tsx @@ -0,0 +1,750 @@ +"use client"; + +import React, { useState } from "react"; +import { CopilotChat } from "@copilotkit/react-ui"; +import { + useCoAgent, + useCopilotAction, + useCopilotChat, +} from "@copilotkit/react-core"; +import { TextMessage, Role } from "@copilotkit/runtime-client-gql"; + +import { + EvaluationCard, + JudgeVerdictCard, + MarkdownLite, + MetricCard, + TraceCard, + type Severity, + type Verdict, +} from "@layerlens/copilotkit-cards"; +import { ThemeToggle } from "./theme-toggle"; + +/** + * Sample harness page. + * + * Architecture mirrors CopilotKit's ``coagents-research-canvas`` reference: + * the LangGraph agent owns the LLM and all backend tool implementations + * (``list_recent_traces``, ``list_judges``, ``run_trace_evaluation``, + * ``get_evaluation_result``); the only frontend-defined action is the + * HITL ``confirm_judge`` picker, which uses the documented + * ``useCopilotAction({ available: "remote", renderAndWaitForResponse })`` + * pattern. + * + * Progressive cards (recent traces, available judges, running + * evaluations, completed EvaluationCards) render from agent state via + * ``useCoAgentStateRender`` -- the canonical CopilotKit hook for + * state-driven UI. The agent's tools return ``Command(update={...})`` + * so each tool call appends/replaces the corresponding state field, + * which streams to the browser as ``STATE_SNAPSHOT`` events. + */ + +type JudgeCandidate = { + id: string; + name: string; + goal: string; +}; + +type TraceRecord = { + id: string; + filename: string; + created_at: string; + model?: string; + duration_ms?: number; + tokens?: number; + evaluations_count?: number; +}; +type JudgeRecord = { id: string; name: string; goal: string }; +type EvaluationRecord = { + evaluation_id: string; + trace_id: string; + judge_id: string; + status: string; +}; +type ResultRecord = { + evaluation_id: string; + status: string; + /** Backend signals ``done: true`` once an evaluation has reached a + * terminal state (success / failure / error / cancelled / not_found). + * Optional because ``state.results`` entries from the agent itself + * don't carry it — they're only added on success today. */ + done?: boolean; + trace_id?: string; + judge_id?: string; + passed?: boolean; + score?: number; + reasoning?: string; +}; + +type EvaluatorState = { + traces?: TraceRecord[]; + judges?: JudgeRecord[]; + evaluations?: EvaluationRecord[]; + results?: ResultRecord[]; +}; + +/** Section heading for canvas rows. */ +function CanvasSection({ + title, + count, + children, +}: { + title: string; + count?: number; + children: React.ReactNode; +}) { + return ( +
+

+ {title} + {count !== undefined ? ( + + {count} + + ) : null} +

+ {children} +
+ ); +} + +/** LayerLens dashboard base URL for "Trace Explorer" / "Agent Graph" + * links inside the SDK ``TraceCard``. Set via + * ``NEXT_PUBLIC_LAYERLENS_DASHBOARD_URL``. When unset (e.g., the + * Trace Explorer / Agent Graph features aren't deployed yet), the + * links are simply not rendered — better than 404ing. */ +const DASHBOARD_BASE_URL = + process.env.NEXT_PUBLIC_LAYERLENS_DASHBOARD_URL || undefined; + +/** Base URL of the FastAPI backend ("/evaluations/{id}" etc.). + * Defaults to the dev port the sample boots on; override via + * ``NEXT_PUBLIC_EVALUATOR_BACKEND_URL`` when running the backend + * elsewhere. */ +const BACKEND_BASE_URL = + process.env.NEXT_PUBLIC_EVALUATOR_BACKEND_URL || "http://127.0.0.1:8123"; + +function TracesCard({ + traces, + activeIds, +}: { + traces: TraceRecord[]; + activeIds: Set; +}) { + // Only render full ``TraceCard``s for the traces currently being + // evaluated (cap at 4 so the canvas stays scannable). The remaining + // traces are surfaced as a compact summary row — same data, no + // whitespace cost. + const featured = activeIds.size + ? traces.filter((t) => activeIds.has(t.id)).slice(0, 4) + : traces.slice(0, 4); + const featuredIds = new Set(featured.map((t) => t.id)); + const others = traces.filter((t) => !featuredIds.has(t.id)); + return ( + + {featured.length > 0 ? ( +
+ {featured.map((t) => ( + + ))} +
+ ) : null} + {others.length > 0 ? ( +
+ + + {others.length} more in this project + +
    + {others.slice(0, 30).map((t) => ( +
  • + {t.id} + {t.filename} +
    • + ))} +
+
+ ) : null} + + ); +} + +function JudgesCard({ judges }: { judges: JudgeRecord[] }) { + return ( + +
    + {judges.slice(0, 8).map((j) => ( +
  • +
    + {j.name} + + {j.id} + +
    + {j.goal ? ( +
    + +
    + ) : null} +
    • + ))} + {judges.length > 8 ? ( +
  • + …and {judges.length - 8} more. +
    • + ) : null} +
+ + ); +} + +function MetricStrip({ + traces, + judges, + evaluations, + results, +}: { + traces: TraceRecord[]; + judges: JudgeRecord[]; + evaluations: EvaluationRecord[]; + results: ResultRecord[]; +}) { + const passed = results.filter((r) => r.passed === true).length; + const failed = results.filter((r) => r.passed === false).length; + const completed = results.length; + const pending = Math.max(0, evaluations.length - completed); + const passRate = + completed > 0 ? Math.round((passed / completed) * 100) : 0; + const avgScore = + completed > 0 + ? results.reduce((acc, r) => acc + (r.score ?? 0), 0) / completed + : 0; + return ( +
+ + + 0 ? passRate : "—"} + unit={completed > 0 ? "%" : undefined} + trend={ + completed === 0 + ? "flat" + : passRate >= 80 + ? "up" + : passRate >= 50 + ? "flat" + : "down" + } + description={`${passed} pass · ${failed} fail · ${pending} pending`} + /> + 0 ? Math.round(avgScore * 100) : "—"} + unit={completed > 0 ? "%" : undefined} + description="Across completed evaluations" + /> +
+ ); +} + +/** + * HITL judge picker. Lives as its own component so it can subscribe to + * ``useCoAgent`` directly — when ``state.judges`` updates while the + * picker is mounted (waiting for HITL response), this component + * re-renders with the fresh list. The previous implementation read + * ``judges`` from a closure in ``renderAndWaitForResponse``, which + * didn't re-run when state updated mid-pause. + */ +function JudgePicker({ + respond, + status, +}: { + respond: ((value: { id: string; name: string }) => void) | undefined; + status: ToolCallStatus; +}) { + // Subscribe to live agent state inside the picker so it re-renders + // when ``state.judges`` populates after the LLM calls ``list_judges``. + // The previous prop-based approach only saw the closure value at the + // moment ``useCopilotAction`` invoked its render function; state + // updates after that didn't reach the mounted picker. + const { state } = useCoAgent({ name: "evaluator" }); + const candidates = (state?.judges ?? []) as JudgeCandidate[]; + + if (status === "complete") { + return ( +
+ ✓ + Judge selected +
+ ); + } + + if (!candidates.length) { + return ( +
+ Loading judges… +
+ ); + } + + return ( +
+

+ Pick a judge for this evaluation + + {candidates.length} available — scroll to see all + +

+
    + {candidates.map((judge) => { + const ready = Boolean(judge?.id && judge?.name && respond); + return ( +
  • +
    + {judge.name} + + {judge.id} + +
    + {judge.goal ? ( + + ) : null} + +
    • + ); + })} +
+
+ ); +} + +type ToolCallStatus = "inProgress" | "executing" | "complete"; + +function severityFromScore(score: number): Severity { + if (score >= 0.8) return "low"; + if (score >= 0.5) return "medium"; + if (score >= 0.25) return "high"; + return "critical"; +} + +/** Skeleton card shown for evaluations that have been kicked off but + * haven't returned a verdict yet. Matches ``JudgeVerdictCard`` chrome + * (same shadcn ``Card`` shell) so the grid stays visually balanced + * while results stream in. */ +function PendingVerdictCard({ + judgeName, + traceId, + status, +}: { + judgeName: string; + traceId: string; + status: string; +}) { + return ( +
+
+
+

{judgeName}

+

+ trace {traceId} +

+
+ + + {status === "in_progress" || status === "pending" ? "Running" : status} + +
+
+
+
+
+

+ LayerLens is evaluating this trace. Real evaluations can take a + minute or two — the verdict will appear here as soon as it lands. +

+
+
+ ); +} + +function ResultsSection({ + results, + evaluations, + judges, +}: { + results: ResultRecord[]; + evaluations: EvaluationRecord[]; + judges: JudgeRecord[]; +}) { + const judgeName = (judgeId: string | undefined) => + judges.find((j) => j.id === judgeId)?.name ?? judgeId ?? "Judge"; + + const completedIds = new Set(results.map((r) => r.evaluation_id)); + const pendingEvals = evaluations.filter( + (e) => !completedIds.has(e.evaluation_id), + ); + + if (results.length === 0 && evaluations.length === 0) return null; + + const completed = results.length; + const passed = results.filter((r) => r.passed === true).length; + const failed = results.filter((r) => r.passed === false).length; + const totalScore = results.reduce((acc, r) => acc + (r.score ?? 0), 0); + const avgScore = completed > 0 ? totalScore / completed : 0; + const passRate = + completed > 0 ? Math.round((passed / completed) * 100) : 0; + const summaryJudgeName = + new Set(results.map((r) => r.judge_id)).size === 1 && completed > 0 + ? judgeName(results[0]?.judge_id) + : evaluations[0] + ? judgeName(evaluations[0].judge_id) + : "Evaluation"; + + return ( + <> + + 0 ? "running" : "completed"} + /> + + +
+ {results.map((r) => { + const score = typeof r.score === "number" ? r.score : 0; + const verdict: Verdict = + r.passed === true ? "pass" : r.passed === false ? "fail" : "error"; + return ( + + ); + })} + {pendingEvals.map((e) => ( + + ))} +
+ + + ); +} + +export default function Page() { + const { appendMessage, isLoading } = useCopilotChat(); + + // ---- Live agent state (research-canvas pattern) ------------------------- + // ``useCoAgent`` exposes the agent's state as a live React value. It + // updates every time the backend emits a STATE_SNAPSHOT (after each + // ``Command(update={...})`` from a tool). We render the four progress + // cards as regular JSX in a side panel — this matches CopilotKit's + // canonical ``coagents-research-canvas`` pattern, where the canvas + // (state-driven UI) lives next to the chat panel rather than inline. + const { state } = useCoAgent({ + name: "evaluator", + initialState: { + traces: [], + judges: [], + evaluations: [], + results: [], + }, + }); + const traces = state?.traces ?? []; + const judges = state?.judges ?? []; + const evaluations = state?.evaluations ?? []; + const agentResults = state?.results ?? []; + + // ---- Out-of-band polling for pending evaluations ------------------------- + // The agent kicks off evaluations and returns immediately — real + // LayerLens evaluations take 30+ seconds to complete, far longer + // than a chat turn should block. The frontend polls the backend's + // ``/evaluations/{id}`` endpoint every few seconds for any + // evaluation that hasn't yet shown up in ``state.results``. Verdicts + // land in ``polledResults`` and are merged with ``agentResults`` for + // display; the user sees pending evaluations flip to passed/failed + // as each one finishes. + const [polledResults, setPolledResults] = useState([]); + + React.useEffect(() => { + const knownIds = new Set([ + ...agentResults.map((r) => r.evaluation_id), + ...polledResults.map((r) => r.evaluation_id), + ]); + const pendingIds = evaluations + .map((e) => e.evaluation_id) + .filter((id) => id && !knownIds.has(id)); + if (pendingIds.length === 0) return; + + let cancelled = false; + const poll = async () => { + const updates = await Promise.all( + pendingIds.map(async (id) => { + try { + const resp = await fetch( + `${BACKEND_BASE_URL}/evaluations/${id}`, + { cache: "no-store" }, + ); + if (!resp.ok) return null; + return (await resp.json()) as ResultRecord; + } catch { + return null; + } + }), + ); + if (cancelled) return; + // Accept anything the backend marks ``done`` — that includes + // ``status: success``, ``failure``, ``error``, ``cancelled``, and + // ``not_found``. Without this, an evaluation that terminated as + // anything other than a clean success would loop the poller + // indefinitely (the symptom: "the 5th eval is always stuck"). + const completed = updates.filter( + (u): u is ResultRecord => !!u && u.done === true, + ); + if (completed.length > 0) { + setPolledResults((prev) => { + const seen = new Set(prev.map((r) => r.evaluation_id)); + return [...prev, ...completed.filter((c) => !seen.has(c.evaluation_id))]; + }); + } + }; + poll(); // immediate kick once on change + const interval = setInterval(poll, 5000); + return () => { + cancelled = true; + clearInterval(interval); + }; + }, [evaluations, agentResults, polledResults]); + + // Merge: agent's view first, then anything the frontend polled in. + const results: ResultRecord[] = React.useMemo(() => { + const seen = new Set(agentResults.map((r) => r.evaluation_id)); + return [ + ...agentResults, + ...polledResults.filter((r) => !seen.has(r.evaluation_id)), + ]; + }, [agentResults, polledResults]); + + const hasAny = + traces.length > 0 || + judges.length > 0 || + evaluations.length > 0 || + results.length > 0; + + // ---- Frontend HITL tool: confirm_judge ----------------------------------- + // The user-facing widget. The LLM emits this tool call once judges have + // been fetched into ``state.judges``; the picker reads candidates + // straight from agent state (via ``useCoAgent`` above) so they don't + // have to be replayed through tool arguments. Streaming a 38-judge + // array through ``parameters`` was producing JSON.parse failures + // ("Unterminated string in JSON at position N") when the LLM truncated + // mid-stream. State-driven candidates avoid that pathology entirely. + useCopilotAction({ + name: "confirm_judge", + description: + "Ask the user to choose which judge to apply. Take no arguments — the picker reads available judges from agent state. Returns the chosen judge's id and name.", + parameters: [], + renderAndWaitForResponse: ({ respond, status }) => ( + void) | undefined} + status={status as ToolCallStatus} + /> + ), + }); + + const sendEvaluate = () => { + void appendMessage( + new TextMessage({ + role: Role.User, + content: "Please evaluate my recent traces.", + }), + ); + }; + + return ( +
+
+ + LayerLens Stratix Evaluator{" "} + + (agent: evaluator) + + + + + + +
+
+ {/* Canvas — wide main panel, state-driven cards. Mirrors the + ``ResearchCanvas`` layout in coagents-research-canvas. */} +
+ {hasAny ? ( +
+ + {traces.length > 0 ? ( + e.trace_id), + ...results + .map((r) => r.trace_id) + .filter((id): id is string => Boolean(id)), + ]) + } + /> + ) : null} + {judges.length > 0 ? : null} + +
+ ) : ( +
+

+ Welcome to the LayerLens Stratix evaluator. +

+

+ Click Evaluate + my traces in the header (or ask in chat) to populate + this canvas with your real LayerLens Stratix traces, judges, + and evaluation results. +

+
+ )} +
+ {/* Chat — narrow sidebar on the right, fixed width. The + ``confirm_judge`` HITL widget renders inline here. + ``min-h-0 + overflow-hidden`` are required so CopilotChat's + internal message scroller activates instead of growing past + the viewport. */} + +
+
+ ); +} diff --git a/samples/copilotkit/app/frontend/app/theme-toggle.tsx b/samples/copilotkit/app/frontend/app/theme-toggle.tsx new file mode 100644 index 00000000..17913a08 --- /dev/null +++ b/samples/copilotkit/app/frontend/app/theme-toggle.tsx @@ -0,0 +1,100 @@ +"use client"; + +import { useEffect, useState } from "react"; + +type Theme = "light" | "dark" | "system"; + +const STORAGE_KEY = "layerlens-evaluator:theme"; + +function applyTheme(theme: Theme): void { + const root = document.documentElement; + const prefersDark = + typeof window !== "undefined" && + window.matchMedia("(prefers-color-scheme: dark)").matches; + const effective: "light" | "dark" = + theme === "system" ? (prefersDark ? "dark" : "light") : theme; + root.classList.toggle("dark", effective === "dark"); + root.style.colorScheme = effective; +} + +/** + * Three-state theme toggle (light / dark / system) persisted to + * localStorage. Exposed as a client component so the rest of the page + * can stay a server component. + */ +export function ThemeToggle() { + const [theme, setTheme] = useState("light"); + const [mounted, setMounted] = useState(false); + + // Hydrate from localStorage on mount. + useEffect(() => { + const stored = + (typeof window !== "undefined" && + (window.localStorage.getItem(STORAGE_KEY) as Theme | null)) || + "light"; + setTheme(stored); + applyTheme(stored); + setMounted(true); + }, []); + + // React to OS theme changes when in "system" mode. + useEffect(() => { + if (theme !== "system") return; + const mq = window.matchMedia("(prefers-color-scheme: dark)"); + const onChange = () => applyTheme("system"); + mq.addEventListener("change", onChange); + return () => mq.removeEventListener("change", onChange); + }, [theme]); + + const select = (next: Theme) => { + setTheme(next); + if (typeof window !== "undefined") { + window.localStorage.setItem(STORAGE_KEY, next); + } + applyTheme(next); + }; + + // Avoid hydration mismatch — render an inert placeholder until we + // know the persisted preference. + if (!mounted) { + return ( + + ); + } + + const button = (label: string, value: Theme, icon: string) => { + const active = theme === value; + return ( + + ); + }; + + return ( +
+ {button("Light", "light", "☀")} + {button("System", "system", "◑")} + {button("Dark", "dark", "☾")} +
+ ); +} + +export default ThemeToggle; diff --git a/samples/copilotkit/app/frontend/components.json b/samples/copilotkit/app/frontend/components.json new file mode 100644 index 00000000..49b29136 --- /dev/null +++ b/samples/copilotkit/app/frontend/components.json @@ -0,0 +1,21 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "new-york", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "", + "css": "app/globals.css", + "baseColor": "neutral", + "cssVariables": true, + "prefix": "" + }, + "aliases": { + "components": "@layerlens/copilotkit-cards", + "utils": "@layerlens/copilotkit-cards/lib/utils", + "ui": "@layerlens/copilotkit-cards/ui", + "lib": "@layerlens/copilotkit-cards/lib", + "hooks": "@/hooks" + }, + "iconLibrary": "lucide" +} diff --git a/samples/copilotkit/app/frontend/components/ui/badge.tsx b/samples/copilotkit/app/frontend/components/ui/badge.tsx new file mode 100644 index 00000000..6eb2a057 --- /dev/null +++ b/samples/copilotkit/app/frontend/components/ui/badge.tsx @@ -0,0 +1,48 @@ +import * as React from "react" +import { cva, type VariantProps } from "class-variance-authority" +import { Slot } from "radix-ui" + +import { cn } from "@/lib/utils" + +const badgeVariants = cva( + "inline-flex w-fit shrink-0 items-center justify-center gap-1 overflow-hidden rounded-full border border-transparent px-2 py-0.5 text-xs font-medium whitespace-nowrap transition-[color,box-shadow] focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 [&>svg]:pointer-events-none [&>svg]:size-3", + { + variants: { + variant: { + default: "bg-primary text-primary-foreground [a&]:hover:bg-primary/90", + secondary: + "bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90", + destructive: + "bg-destructive text-white focus-visible:ring-destructive/20 dark:bg-destructive/60 dark:focus-visible:ring-destructive/40 [a&]:hover:bg-destructive/90", + outline: + "border-border text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground", + ghost: "[a&]:hover:bg-accent [a&]:hover:text-accent-foreground", + link: "text-primary underline-offset-4 [a&]:hover:underline", + }, + }, + defaultVariants: { + variant: "default", + }, + } +) + +function Badge({ + className, + variant = "default", + asChild = false, + ...props +}: React.ComponentProps<"span"> & + VariantProps & { asChild?: boolean }) { + const Comp = asChild ? Slot.Root : "span" + + return ( + + ) +} + +export { Badge, badgeVariants } diff --git a/samples/copilotkit/app/frontend/components/ui/button.tsx b/samples/copilotkit/app/frontend/components/ui/button.tsx new file mode 100644 index 00000000..4d38506c --- /dev/null +++ b/samples/copilotkit/app/frontend/components/ui/button.tsx @@ -0,0 +1,64 @@ +import * as React from "react" +import { cva, type VariantProps } from "class-variance-authority" +import { Slot } from "radix-ui" + +import { cn } from "@/lib/utils" + +const buttonVariants = cva( + "inline-flex shrink-0 items-center justify-center gap-2 rounded-md text-sm font-medium whitespace-nowrap transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4", + { + variants: { + variant: { + default: "bg-primary text-primary-foreground hover:bg-primary/90", + destructive: + "bg-destructive text-white hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:bg-destructive/60 dark:focus-visible:ring-destructive/40", + outline: + "border bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:border-input dark:bg-input/30 dark:hover:bg-input/50", + secondary: + "bg-secondary text-secondary-foreground hover:bg-secondary/80", + ghost: + "hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50", + link: "text-primary underline-offset-4 hover:underline", + }, + size: { + default: "h-9 px-4 py-2 has-[>svg]:px-3", + xs: "h-6 gap-1 rounded-md px-2 text-xs has-[>svg]:px-1.5 [&_svg:not([class*='size-'])]:size-3", + sm: "h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5", + lg: "h-10 rounded-md px-6 has-[>svg]:px-4", + icon: "size-9", + "icon-xs": "size-6 rounded-md [&_svg:not([class*='size-'])]:size-3", + "icon-sm": "size-8", + "icon-lg": "size-10", + }, + }, + defaultVariants: { + variant: "default", + size: "default", + }, + } +) + +function Button({ + className, + variant = "default", + size = "default", + asChild = false, + ...props +}: React.ComponentProps<"button"> & + VariantProps & { + asChild?: boolean + }) { + const Comp = asChild ? Slot.Root : "button" + + return ( + + ) +} + +export { Button, buttonVariants } diff --git a/samples/copilotkit/app/frontend/components/ui/card.tsx b/samples/copilotkit/app/frontend/components/ui/card.tsx new file mode 100644 index 00000000..acf57dc5 --- /dev/null +++ b/samples/copilotkit/app/frontend/components/ui/card.tsx @@ -0,0 +1,92 @@ +import * as React from "react" + +import { cn } from "@/lib/utils" + +function Card({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardHeader({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardTitle({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardDescription({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardAction({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardContent({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function CardFooter({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +export { + Card, + CardHeader, + CardFooter, + CardTitle, + CardAction, + CardDescription, + CardContent, +} diff --git a/samples/copilotkit/app/frontend/components/ui/progress.tsx b/samples/copilotkit/app/frontend/components/ui/progress.tsx new file mode 100644 index 00000000..5a0a5a64 --- /dev/null +++ b/samples/copilotkit/app/frontend/components/ui/progress.tsx @@ -0,0 +1,31 @@ +"use client" + +import * as React from "react" +import { Progress as ProgressPrimitive } from "radix-ui" + +import { cn } from "@/lib/utils" + +function Progress({ + className, + value, + ...props +}: React.ComponentProps) { + return ( + + + + ) +} + +export { Progress } diff --git a/samples/copilotkit/app/frontend/components/ui/separator.tsx b/samples/copilotkit/app/frontend/components/ui/separator.tsx new file mode 100644 index 00000000..cd873e36 --- /dev/null +++ b/samples/copilotkit/app/frontend/components/ui/separator.tsx @@ -0,0 +1,28 @@ +"use client" + +import * as React from "react" +import { Separator as SeparatorPrimitive } from "radix-ui" + +import { cn } from "@/lib/utils" + +function Separator({ + className, + orientation = "horizontal", + decorative = true, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +export { Separator } diff --git a/samples/copilotkit/app/frontend/lib/utils.ts b/samples/copilotkit/app/frontend/lib/utils.ts new file mode 100644 index 00000000..a5ef1935 --- /dev/null +++ b/samples/copilotkit/app/frontend/lib/utils.ts @@ -0,0 +1,6 @@ +import { clsx, type ClassValue } from "clsx"; +import { twMerge } from "tailwind-merge"; + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)); +} diff --git a/samples/copilotkit/app/frontend/next-env.d.ts b/samples/copilotkit/app/frontend/next-env.d.ts new file mode 100644 index 00000000..c4b7818f --- /dev/null +++ b/samples/copilotkit/app/frontend/next-env.d.ts @@ -0,0 +1,6 @@ +/// +/// +import "./.next/dev/types/routes.d.ts"; + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/api-reference/config/typescript for more information. diff --git a/samples/copilotkit/app/frontend/next.config.js b/samples/copilotkit/app/frontend/next.config.js new file mode 100644 index 00000000..2a121798 --- /dev/null +++ b/samples/copilotkit/app/frontend/next.config.js @@ -0,0 +1,20 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: false, + // Allow HMR / dev resources to load when serving on 127.0.0.1. + // Without this, Next 16 blocks cross-origin webpack-hmr WebSocket + // requests with no client-side error -- which can leave React in a + // half-hydrated state on first load. + allowedDevOrigins: ["127.0.0.1", "localhost"], + // Hide the Next.js dev "N" badge so it doesn't sit on top of the chat UI. + devIndicators: false, + // The CopilotKit runtime is used in a server route; transpile to keep + // module resolution predictable across node + bundler. + transpilePackages: [ + "@copilotkit/runtime", + "@copilotkit/react-core", + "@copilotkit/react-ui", + ], +}; + +module.exports = nextConfig; diff --git a/samples/copilotkit/app/frontend/package-lock.json b/samples/copilotkit/app/frontend/package-lock.json new file mode 100644 index 00000000..a6f4f7d1 --- /dev/null +++ b/samples/copilotkit/app/frontend/package-lock.json @@ -0,0 +1,13833 @@ +{ + "name": "copilotkit-evaluator-browser-harness", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "copilotkit-evaluator-browser-harness", + "version": "0.0.0", + "dependencies": { + "@copilotkit/react-core": "1.56.3", + "@copilotkit/react-ui": "1.56.3", + "@copilotkit/runtime": "1.56.3", + "@radix-ui/react-progress": "^1.1.8", + "@radix-ui/react-separator": "^1.1.8", + "@radix-ui/react-slot": "^1.2.4", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^1.11.0", + "next": "16.2.4", + "radix-ui": "^1.4.3", + "react": "19.0.0", + "react-dom": "19.0.0", + 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-0,0 +1,37 @@ +{ + "name": "copilotkit-evaluator-browser-harness", + "version": "0.0.0", + "private": true, + "scripts": { + "dev": "next dev -p 3000", + "build": "next build", + "start": "next start -p 3000" + }, + "dependencies": { + "@copilotkit/react-core": "1.56.3", + "@copilotkit/react-ui": "1.56.3", + "@copilotkit/runtime": "1.56.3", + "@radix-ui/react-progress": "^1.1.8", + "@radix-ui/react-separator": "^1.1.8", + "@radix-ui/react-slot": "^1.2.4", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^1.11.0", + "next": "16.2.4", + "radix-ui": "^1.4.3", + "react": "19.0.0", + "react-dom": "19.0.0", + "tailwind-merge": "^3.5.0" + }, + "devDependencies": { + "@playwright/test": "1.59.1", + "@tailwindcss/postcss": "^4.2.4", + "@types/node": "22.10.0", + "@types/react": "19.0.0", + "@types/react-dom": "19.0.0", + "postcss": "^8.5.10", + "tailwindcss": "^4.2.4", + "tw-animate-css": "^1.4.0", + "typescript": "5.7.2" + } +} diff --git a/samples/copilotkit/app/frontend/playwright.config.ts b/samples/copilotkit/app/frontend/playwright.config.ts new file mode 100644 index 00000000..ae7f884e --- /dev/null +++ b/samples/copilotkit/app/frontend/playwright.config.ts @@ -0,0 +1,49 @@ +import { defineConfig, devices } from "@playwright/test"; +import * as path from "path"; + +/** + * Playwright config for the CopilotKit evaluator browser harness. + * + * Process topology: + * - ``globalSetup.ts`` spawns ``uvicorn`` against ``backend/server.py`` + * on port 8123 and waits for ``/healthz`` to return 200. + * - ``webServer`` below boots ``next dev`` on port 3000 and waits for + * the root route to return 200. + * + * ``globalTeardown.ts`` kills the FastAPI process when the suite ends. + */ +export default defineConfig({ + testDir: path.join(__dirname, "tests"), + timeout: 60_000, + expect: { timeout: 20_000 }, + fullyParallel: false, + workers: 1, + reporter: [["list"]], + + globalSetup: path.join(__dirname, "tests", "globalSetup.ts"), + globalTeardown: path.join(__dirname, "tests", "globalTeardown.ts"), + + use: { + baseURL: "http://127.0.0.1:3000", + trace: "retain-on-failure", + video: "retain-on-failure", + screenshot: "only-on-failure", + }, + + projects: [ + { + name: "chromium", + use: { ...devices["Desktop Chrome"] }, + }, + ], + + webServer: { + command: "npm run dev", + cwd: __dirname, + url: "http://127.0.0.1:3000", + reuseExistingServer: false, + timeout: 120_000, + stdout: "pipe", + stderr: "pipe", + }, +}); diff --git a/samples/copilotkit/app/frontend/postcss.config.mjs b/samples/copilotkit/app/frontend/postcss.config.mjs new file mode 100644 index 00000000..61e36849 --- /dev/null +++ b/samples/copilotkit/app/frontend/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/samples/copilotkit/app/frontend/public/diag.html b/samples/copilotkit/app/frontend/public/diag.html new file mode 100644 index 00000000..149c803a --- /dev/null +++ b/samples/copilotkit/app/frontend/public/diag.html @@ -0,0 +1,97 @@ + +Diagnostic + + +

Evaluator harness — runtime diagnostic

+

Auto-runs on page load. Refresh to re-run.

+
running...
+ + diff --git a/samples/copilotkit/app/frontend/public/favicon.ico b/samples/copilotkit/app/frontend/public/favicon.ico new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/samples/copilotkit/app/frontend/public/favicon.ico @@ -0,0 +1 @@ + diff --git a/samples/copilotkit/app/frontend/tests/globalSetup.ts b/samples/copilotkit/app/frontend/tests/globalSetup.ts new file mode 100644 index 00000000..d0a60a83 --- /dev/null +++ b/samples/copilotkit/app/frontend/tests/globalSetup.ts @@ -0,0 +1,111 @@ +/** + * Starts the FastAPI evaluator backend (``backend/server.py``) for the + * duration of the Playwright suite. + * + * We do NOT run this via Playwright's ``webServer`` option because that + * slot is already used for ``next dev``. Instead we spawn uvicorn + * manually, poll ``/healthz``, and stash the PID in a global var that + * ``globalTeardown.ts`` reads to kill the process cleanly. + */ +import { spawn, type ChildProcess } from "child_process"; +import * as fs from "fs"; +import * as path from "path"; + +// Tests live at app/frontend/tests/; backend/ is a sibling of frontend/. +const BACKEND_DIR = path.resolve(__dirname, "..", "..", "backend"); +const PID_FILE = path.resolve(__dirname, ".backend.pid"); + +const HOST = "127.0.0.1"; +const PORT = 8123; +const HEALTH_URL = `http://${HOST}:${PORT}/healthz`; +const READY_TIMEOUT_MS = 30_000; + +function pickPythonCmd(): string { + // Honor explicit override first. + if (process.env.HARNESS_PYTHON) return process.env.HARNESS_PYTHON; + // On Windows the launcher ``py`` is usually present; elsewhere + // ``python3`` is the safer default. + return process.platform === "win32" ? "python" : "python3"; +} + +async function waitForHealth(url: string, timeoutMs: number): Promise { + const deadline = Date.now() + timeoutMs; + let lastErr: unknown = null; + while (Date.now() < deadline) { + try { + const resp = await fetch(url); + if (resp.ok) return; + lastErr = new Error(`status=${resp.status}`); + } catch (err) { + lastErr = err; + } + await new Promise((r) => setTimeout(r, 500)); + } + throw new Error( + `Backend did not become healthy at ${url} within ${timeoutMs}ms: ${String( + lastErr, + )}`, + ); +} + +export default async function globalSetup(): Promise { + // Reuse an already-running backend if the test author started one + // manually (useful when iterating on the backend in a separate shell). + try { + const resp = await fetch(HEALTH_URL); + if (resp.ok) { + // Do NOT record a PID; teardown should not kill a backend we did + // not start. + return; + } + } catch { + // fall through -- start our own + } + + const python = pickPythonCmd(); + const args = [ + "-m", + "uvicorn", + "server:app", + "--host", + HOST, + "--port", + String(PORT), + "--log-level", + "warning", + ]; + + const child: ChildProcess = spawn(python, args, { + cwd: BACKEND_DIR, + stdio: ["ignore", "inherit", "inherit"], + env: { + ...process.env, + PYTHONUNBUFFERED: "1", + LAYERLENS_STRATIX_API_KEY: + process.env.LAYERLENS_STRATIX_API_KEY || "test-key", + }, + // ``detached: false`` keeps the backend as a child of the Playwright + // runner so it dies with the runner if teardown is skipped. + detached: false, + windowsHide: true, + }); + + if (child.pid === undefined) { + throw new Error("Failed to spawn uvicorn process (no pid)"); + } + + fs.writeFileSync(PID_FILE, String(child.pid), "utf-8"); + + child.on("exit", (code, signal) => { + // Swallow; teardown handles intentional termination. Surface + // unexpected early exits to stderr so the test logs are useful. + if (code !== 0 && code !== null && signal === null) { + // eslint-disable-next-line no-console + console.error( + `[globalSetup] FastAPI backend exited unexpectedly: code=${code}`, + ); + } + }); + + await waitForHealth(HEALTH_URL, READY_TIMEOUT_MS); +} diff --git a/samples/copilotkit/app/frontend/tests/globalTeardown.ts b/samples/copilotkit/app/frontend/tests/globalTeardown.ts new file mode 100644 index 00000000..8f82226a --- /dev/null +++ b/samples/copilotkit/app/frontend/tests/globalTeardown.ts @@ -0,0 +1,45 @@ +/** + * Tears down the FastAPI backend started by ``globalSetup.ts``. + * + * Reads the PID out of ``.backend.pid``; if the file does not exist we + * assume the backend was already running before the suite started and + * leave it alone. + */ +import * as fs from "fs"; +import * as path from "path"; + +const PID_FILE = path.resolve(__dirname, ".backend.pid"); + +export default async function globalTeardown(): Promise { + if (!fs.existsSync(PID_FILE)) return; + const raw = fs.readFileSync(PID_FILE, "utf-8").trim(); + const pid = Number.parseInt(raw, 10); + fs.unlinkSync(PID_FILE); + + if (!Number.isFinite(pid) || pid <= 0) return; + + try { + if (process.platform === "win32") { + // ``taskkill`` is the only reliable way to murder a detached + // uvicorn process tree on Windows. + const { spawnSync } = await import("child_process"); + spawnSync("taskkill", ["/pid", String(pid), "/T", "/F"], { + stdio: "ignore", + windowsHide: true, + }); + } else { + process.kill(pid, "SIGTERM"); + // Give uvicorn a beat to shut down; then hard-kill if still alive. + await new Promise((r) => setTimeout(r, 1500)); + try { + process.kill(pid, 0); // probe + process.kill(pid, "SIGKILL"); + } catch { + // already exited -- great + } + } + } catch { + // Best effort; no point failing the whole suite if the process is + // already gone. + } +} diff --git a/samples/copilotkit/app/frontend/tests/interrupt-resume.spec.ts b/samples/copilotkit/app/frontend/tests/interrupt-resume.spec.ts new file mode 100644 index 00000000..73a98f72 --- /dev/null +++ b/samples/copilotkit/app/frontend/tests/interrupt-resume.spec.ts @@ -0,0 +1,213 @@ +/** + * Browser-level regression for the CopilotKit evaluator interrupt/resume + * fix (PR ``fix/copilotkit-interrupt-checkpointer`` on stratix-python). + * + * Drives the real ``@copilotkit/react-ui`` widget through + * three user turns: + * + * 1. "evaluate my traces" -> triggers the graph, which fetches judges + * + traces and then pauses at the ``interrupt()`` in + * ``confirm_judge_node``. The UI should render text mentioning the + * judge list. + * 2. "ok" -> resumes the graph. Before the checkpointer + * fix, this is the turn that produced the "Cannot send + * 'RUN_STARTED' while a run is still active" error. + * 3. "thanks" -> a fresh run after resume. If the resume's + * RUN_FINISHED event was dropped, the CopilotKit client would + * refuse to open a new run here. + * + * The spec FAILS if the exact string + * "Cannot send 'RUN_STARTED' while a run is still active" + * appears anywhere in the browser console OR the visible DOM. + */ +import { expect, test, type ConsoleMessage, type Page } from "@playwright/test"; + +const FORBIDDEN_ERROR = "Cannot send 'RUN_STARTED' while a run is still active"; + +/** + * CopilotKit 1.56's default renders a textarea for user + * input and a send button. We locate via role/accessible-name so the + * test keeps working across minor styling changes. We fall back to + * pragma-broad selectors if the primary ones miss. + */ +async function chatInput(page: Page) { + // CopilotChat 1.56 renders