feat(eval2): swap Laminar for Langfuse + per-tool screenshots

Replace @lmnr-ai/lmnr with @langfuse/otel + @langfuse/tracing +
@opentelemetry/sdk-node so each tool call emits a screenshot.<tool> span
with the PNG attached as LangfuseMedia, rendered inline in the trace UI.

- tracing.ts rewritten around LangfuseSpanProcessor + NodeSDK; adds
  logScreenshot helper that wraps PNG bytes in LangfuseMedia.
- single-agent.ts hooks experimental_onToolCallStart/Finish to capture
  per-tool PNGs (mode controlled by langfuse.screenshotMode).
- eval-runner.ts drops withTaskTrace; sessionId on AI SDK telemetry now
  groups all spans for a task.
- benchmark-config.ts schema: laminar -> langfuse with screenshotMode
  enum (all | mutating-only | never).
- Both jsonc configs and README updated to match.

Env vars: LMNR_PROJECT_API_KEY -> LANGFUSE_PUBLIC_KEY +
LANGFUSE_SECRET_KEY (+ optional LANGFUSE_BASE_URL).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

packages/browseros-agent/apps/eval2/.gitignore

@@ -0,0 +1,3 @@
+.env.development
+results/
+extensions/

packages/browseros-agent/apps/eval2/README.md

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+# eval2 - Langfuse-traced eval
+
+A minimal eval runner that runs a SingleAgent (OpenAI via
+`@browseros/server`'s `AiSdkAgent`) against agisdk smoke tasks and sends each
+task's spans (LLM calls, tool calls, and per-tool screenshots) to Langfuse.
+
+Per-tool-call screenshots are uploaded as `LangfuseMedia` and rendered inline
+in the trace UI.
+
+## Prerequisites
+
+- BrowserOS app installed at `/Applications/BrowserOS.app/Contents/MacOS/BrowserOS`
+  or a custom `browserosBinary` in the config.
+- Bun for running TypeScript.
+- `python3` with `agisdk` installed for the grader (`pip install agisdk`).
+- Env vars in `.env.development` or your shell:
+  - `OPENAI_API_KEY` is required.
+  - `LANGFUSE_PUBLIC_KEY` and `LANGFUSE_SECRET_KEY` enable tracing. Without
+    them, the runner warns and runs without tracing.
+  - `LANGFUSE_BASE_URL` is optional; defaults to `https://cloud.langfuse.com`.
+
+## Run
+
+```bash
+cd packages/browseros-agent/apps/eval2
+bun run eval --config benchmark-configs/agisdk-mini.jsonc
+```
+
+Console output includes per-task progress, a summary table, and the
+`summary.json` path. If tracing is enabled, each task has a Langfuse session
+like `agisdk-mini-2026-04-28-1530-dashdish-10` containing AI SDK LLM/tool-call
+spans plus one `screenshot.<tool>` span per tool call with the PNG attached.
+
+## screenshotMode
+
+Each config's `langfuse.screenshotMode` controls per-tool screenshot capture:
+
+- `all` - every tool call gets a screenshot (default).
+- `mutating-only` - only mutating tools (click, fill, navigate, scroll, etc.).
+- `never` - disable screenshots; LLM-call traces only.
+
+## Layout
+
+- `benchmark-configs/` contains commented JSONC configs.
+- `datasets/` contains copied JSONL datasets from `apps/eval`.
+- `scripts/` contains the copied Python agisdk sidecar.
+- `src/` contains the TypeScript runner. `browseros-app-manager.ts`,
+  `agisdk-grader.ts`, and `utils/` are copied from `apps/eval` with local path
+  tweaks.
+
+## Silo Rule
+
+No imports from `apps/eval`. Anything needed from the original eval app is
+copied into `apps/eval2`.

packages/browseros-agent/apps/eval2/benchmark-configs/agisdk-mini.jsonc

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+{
+  // Two-task subset for quick end-to-end Langfuse smoke tests.
+  "name": "agisdk-mini",
+
+  // Path to the JSONL dataset, relative to this config file.
+  "dataset": "../datasets/agisdk-real-mini.jsonl",
+
+  // eval2 supports OpenAI only in v1.
+  "provider": "openai",
+
+  // OpenAI model id. Examples: gpt-4.1, gpt-4.1-mini.
+  "model": "gpt-4.1",
+
+  // Name of the env var that holds the OpenAI API key.
+  "apiKeyEnv": "OPENAI_API_KEY",
+
+  // Path to the BrowserOS binary that spawns Chrome with CDP enabled.
+  "browserosBinary": "/Applications/BrowserOS.app/Contents/MacOS/BrowserOS",
+
+  // Port allocation for the single worker. Fixed in v1.
+  "ports": {
+    "cdp": 9010,
+    "server": 9110,
+    "extension": 9310
+  },
+
+  // Maximum wall-clock time per task, in milliseconds.
+  "timeoutMs": 600000,
+
+  // Langfuse credentials come from env: LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY,
+  // and optional LANGFUSE_BASE_URL (defaults to https://cloud.langfuse.com).
+  // screenshotMode: "all" | "mutating-only" | "never".
+  //   all            - every tool call gets a PNG span attached
+  //   mutating-only  - only click/fill/navigate/scroll/press_key/select_option/drag/type_at
+  //   never          - disable screenshots; LLM-call traces only
+  "langfuse": {
+    "enabled": true,
+    "sessionPrefix": "agisdk",
+    "screenshotMode": "all"
+  }
+}

packages/browseros-agent/apps/eval2/benchmark-configs/agisdk-smoke.jsonc

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+{
+  // Display name for this benchmark suite. Used in console output and run IDs.
+  "name": "agisdk-smoke",
+
+  // Path to the JSONL dataset, relative to this config file.
+  "dataset": "../datasets/agisdk-real-smoke.jsonl",
+
+  // eval2 supports OpenAI only in v1.
+  "provider": "openai",
+
+  // OpenAI model id. Examples: gpt-4.1, gpt-4.1-mini.
+  "model": "gpt-4.1",
+
+  // Name of the env var that holds the OpenAI API key.
+  "apiKeyEnv": "OPENAI_API_KEY",
+
+  // Path to the BrowserOS binary that spawns Chrome with CDP enabled.
+  "browserosBinary": "/Applications/BrowserOS.app/Contents/MacOS/BrowserOS",
+
+  // Port allocation for the single worker. Fixed in v1.
+  "ports": {
+    "cdp": 9010,
+    "server": 9110,
+    "extension": 9310
+  },
+
+  // Maximum wall-clock time per task, in milliseconds.
+  "timeoutMs": 600000,
+
+  // Cap the number of tasks run from the dataset. Remove for the full set.
+  "maxTasks": 10,
+
+  // Langfuse credentials come from env: LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY,
+  // and optional LANGFUSE_BASE_URL (defaults to https://cloud.langfuse.com).
+  // screenshotMode: "all" | "mutating-only" | "never".
+  "langfuse": {
+    "enabled": true,
+    "sessionPrefix": "agisdk",
+    "screenshotMode": "all"
+  }
+}

packages/browseros-agent/apps/eval2/datasets/agisdk-real-mini.jsonl

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+{"query_id": "agisdk-dashdish-10", "dataset": "agisdk-real", "query": "Place an order from \"Souvla\" for a \"Medium Classic Cheeseburger\" and a \"Small Bacon Double Cheeseburger\" with \"Standard Delivery\" as the method with the default charged options.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-10", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-10", "challenge_type": "action", "difficulty": "hard", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-udriver-10", "dataset": "agisdk-real", "query": "Order me a ride for 4pm, I'll be at the de Young muesum headed to the Waterbar, fanciest option possible please.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-10", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-10", "challenge_type": "action", "difficulty": "hard", "similar_to": "Uber"}}}

packages/browseros-agent/apps/eval2/datasets/agisdk-real-smoke.jsonl

@@ -0,0 +1,40 @@
+{"query_id": "agisdk-dashdish-10", "dataset": "agisdk-real", "query": "Place an order from \"Souvla\" for a \"Medium Classic Cheeseburger\" and a \"Small Bacon Double Cheeseburger\" with \"Standard Delivery\" as the method with the default charged options.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-10", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-10", "challenge_type": "action", "difficulty": "hard", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-fly-unified-5", "dataset": "agisdk-real", "query": "Find me the cheapest fare for a flight from Orlando to Milwaukee on December 5th, 2024 and book it.\nPassenger: John Doe\nDate of Birth: 01/01/1990\nSex: Male\nSeat Selection: No\nPayment: Credit Card (378342143523967), Exp: 12/30, Security Code: 420 Address: 123 Main St, San Francisco, CA, 94105, USA, Phone: 555-123-4567, Email: johndoe@example.com.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-fly-unified.vercel.app", "metadata": {"original_task_id": "fly-unified-5", "website": "Fly Unified", "category": "agisdk-real", "additional": {"agisdk_task_id": "fly-unified-5", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "United Airlines"}}}
+{"query_id": "agisdk-udriver-10", "dataset": "agisdk-real", "query": "Order me a ride for 4pm, I'll be at the de Young muesum headed to the Waterbar, fanciest option possible please.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-10", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-10", "challenge_type": "action", "difficulty": "hard", "similar_to": "Uber"}}}
+{"query_id": "agisdk-udriver-9", "dataset": "agisdk-real", "query": "Book me a ride from the thai restaurant I last took a ride to for later today at 2pm, I'll be at 333 Apartments on Fremont", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-9", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-9", "challenge_type": "retrieval-action", "difficulty": "hard", "similar_to": "Uber"}}}
+{"query_id": "agisdk-topwork-4", "dataset": "agisdk-real", "query": "Create a job post for a UI/UX Designer with expertise in Figma, Sketch, and Adobe Creative Suite, including project details, timeline, and required skills (Wireframing, Prototyping, Responsive Design).", "graders": ["agisdk_state_diff"], "start_url": "https://evals-topwork.vercel.app", "metadata": {"original_task_id": "topwork-4", "website": "TopWork", "category": "agisdk-real", "additional": {"agisdk_task_id": "topwork-4", "challenge_type": "action", "difficulty": "medium", "similar_to": "Upwork"}}}
+{"query_id": "agisdk-gocalendar-4", "dataset": "agisdk-real", "query": "Change the \"Team Check-In\" event on July 18, 2024, name to \"Project Kickoff\" and update the location to \"Zoom\"", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gocalendar.vercel.app", "metadata": {"original_task_id": "gocalendar-4", "website": "GoCalendar", "category": "agisdk-real", "additional": {"agisdk_task_id": "gocalendar-4", "challenge_type": "action", "difficulty": "medium", "similar_to": "Google Calendar"}}}
+{"query_id": "agisdk-staynb-6", "dataset": "agisdk-real", "query": "Find and book the stay with the best value for money (cheapest stay with the best reviews) for 1 day. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-6", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-6", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "Airbnb"}}}
+{"query_id": "agisdk-udriver-11", "dataset": "agisdk-real", "query": "I need to go from Pacific Catch on Chestnut back home to 333 Fremont now. If the fancy version is within ten dollars of the regular one, book that.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-11", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-11", "challenge_type": "action", "difficulty": "hard", "similar_to": "Uber"}}}
+{"query_id": "agisdk-networkin-5", "dataset": "agisdk-real", "query": "Send a connection request to John Smith.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-networkin.vercel.app", "metadata": {"original_task_id": "networkin-5", "website": "Networkin", "category": "agisdk-real", "additional": {"agisdk_task_id": "networkin-5", "challenge_type": "action", "difficulty": "easy", "similar_to": "LinkedIn"}}}
+{"query_id": "agisdk-zilloft-6", "dataset": "agisdk-real", "query": "Select a property listed in San Francisco as \"Condos\" within a price range under $300,000 and request a tour for tomorrow at 4:00 PM. Use these contact details: Name: Sarah Brown, Email: sarahbrown@example.com, Phone: 555-987-6543.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-zilloft.vercel.app", "metadata": {"original_task_id": "zilloft-6", "website": "Zilloft", "category": "agisdk-real", "additional": {"agisdk_task_id": "zilloft-6", "challenge_type": "action", "difficulty": "medium", "similar_to": "Zillow"}}}
+{"query_id": "agisdk-topwork-2", "dataset": "agisdk-real", "query": "Create a job posting for a Backend Developer specializing in Python, Django, and Flask to develop a high-performance web application. Include project details such as required skills (PostgreSQL, Docker, AWS, CI/CD), estimated project timeline, and budget.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-topwork.vercel.app", "metadata": {"original_task_id": "topwork-2", "website": "TopWork", "category": "agisdk-real", "additional": {"agisdk_task_id": "topwork-2", "challenge_type": "action", "difficulty": "medium", "similar_to": "Upwork"}}}
+{"query_id": "agisdk-gocalendar-3", "dataset": "agisdk-real", "query": "Delete the event titled \"Breakfast Meeting with Client\" scheduled for July 19, 2024", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gocalendar.vercel.app", "metadata": {"original_task_id": "gocalendar-3", "website": "GoCalendar", "category": "agisdk-real", "additional": {"agisdk_task_id": "gocalendar-3", "challenge_type": "action", "difficulty": "easy", "similar_to": "Google Calendar"}}}
+{"query_id": "agisdk-topwork-3", "dataset": "agisdk-real", "query": "Create a job listing for a Full-Stack Developer with expertise in Java, Spring Boot, and Angular, outlining the project scope, estimated duration, and required skills (MySQL, Docker, Kubernetes, and Jenkins). The ideal candidate should have experience in enterprise-level applications and building scalable microservices. After creating the job post, please describe what you included in the job listing.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-topwork.vercel.app", "metadata": {"original_task_id": "topwork-3", "website": "TopWork", "category": "agisdk-real", "additional": {"agisdk_task_id": "topwork-3", "challenge_type": "retrieval", "difficulty": "medium", "similar_to": "Upwork"}}}
+{"query_id": "agisdk-dashdish-7", "dataset": "agisdk-real", "query": "Select \"Express Delivery\" for an order from \"DragonEats\" of \"Mushroom Swiss Burger\" and complete the checkout with the pre-loaded Visa card.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-7", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-7", "challenge_type": "action", "difficulty": "hard", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-networkin-3", "dataset": "agisdk-real", "query": "Write a post inviting users to a networking event, including details about the event's purpose, date, and target audience.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-networkin.vercel.app", "metadata": {"original_task_id": "networkin-3", "website": "Networkin", "category": "agisdk-real", "additional": {"agisdk_task_id": "networkin-3", "challenge_type": "action", "difficulty": "medium", "similar_to": "LinkedIn"}}}
+{"query_id": "agisdk-gomail-7", "dataset": "agisdk-real", "query": "Delete the email with the subject \"New Leadership Articles You Can't Miss\" from the Inbox.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gomail.vercel.app", "metadata": {"original_task_id": "gomail-7", "website": "GoMail", "category": "agisdk-real", "additional": {"agisdk_task_id": "gomail-7", "challenge_type": "retrieval-action", "difficulty": "hard", "similar_to": "Gmail"}}}
+{"query_id": "agisdk-opendining-8", "dataset": "agisdk-real", "query": "Identify and book the restaurant with the lowest rating. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-opendining.vercel.app", "metadata": {"original_task_id": "opendining-8", "website": "OpenDining", "category": "agisdk-real", "additional": {"agisdk_task_id": "opendining-8", "challenge_type": "retrieval-action", "difficulty": "easy", "similar_to": "OpenTable"}}}
+{"query_id": "agisdk-udriver-1", "dataset": "agisdk-real", "query": "Book a ride from Fitness Urbano to Pacific Cafe", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-1", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-1", "challenge_type": "action", "difficulty": "easy", "similar_to": "Uber"}}}
+{"query_id": "agisdk-staynb-2", "dataset": "agisdk-real", "query": "Click on one of the stays displayed on the homepage and book it for a family of 4 (2 adults and 2 children). For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-2", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-2", "challenge_type": "action", "difficulty": "easy", "similar_to": "Airbnb"}}}
+{"query_id": "agisdk-opendining-10", "dataset": "agisdk-real", "query": "Check the menus of all restaurants for vegetarian options and make a reservation at the one with the most vegetarian choices. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-opendining.vercel.app", "metadata": {"original_task_id": "opendining-10", "website": "OpenDining", "category": "agisdk-real", "additional": {"agisdk_task_id": "opendining-10", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "OpenTable"}}}
+{"query_id": "agisdk-opendining-4", "dataset": "agisdk-real", "query": "Use the search bar to search for a restaurant on September 2nd at 4:30 PM for 7 people, using \"Japanese\" as the search term, and book the first result. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-opendining.vercel.app", "metadata": {"original_task_id": "opendining-4", "website": "OpenDining", "category": "agisdk-real", "additional": {"agisdk_task_id": "opendining-4", "challenge_type": "action", "difficulty": "hard", "similar_to": "OpenTable"}}}
+{"query_id": "agisdk-dashdish-4", "dataset": "agisdk-real", "query": "Schedule a delivery order from \"Taco Bell\" adding a \"Classic Cheeseburger\" large size for later and add the note \"Leave at the front door\".", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-4", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-4", "challenge_type": "action", "difficulty": "medium", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-networkin-1", "dataset": "agisdk-real", "query": "Create a new text post for the feed with a professional update about AI trends in 2025, mentioning three key advancements and their impact on the job market.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-networkin.vercel.app", "metadata": {"original_task_id": "networkin-1", "website": "Networkin", "category": "agisdk-real", "additional": {"agisdk_task_id": "networkin-1", "challenge_type": "action", "difficulty": "medium", "similar_to": "LinkedIn"}}}
+{"query_id": "agisdk-dashdish-5", "dataset": "agisdk-real", "query": "Add three \"Loaded Bacon Cheese Fries\" to the shopping cart from \"Man vs. Fries\". Proceed to checkout and select \"Pickup\" as the delivery method.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-5", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-5", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-opendining-5", "dataset": "agisdk-real", "query": "Scroll through the homepage carousel until \"Ocean Breeze\" is visible, select the second available time slot, and complete the reservation. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-opendining.vercel.app", "metadata": {"original_task_id": "opendining-5", "website": "OpenDining", "category": "agisdk-real", "additional": {"agisdk_task_id": "opendining-5", "challenge_type": "action", "difficulty": "medium", "similar_to": "OpenTable"}}}
+{"query_id": "agisdk-gocalendar-1", "dataset": "agisdk-real", "query": "Create a new event titled \"Team Meeting\" on July 19, 2024, from 2 PM to 2:30 PM, and include \"Conference Room A\" as the location", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gocalendar.vercel.app", "metadata": {"original_task_id": "gocalendar-1", "website": "GoCalendar", "category": "agisdk-real", "additional": {"agisdk_task_id": "gocalendar-1", "challenge_type": "action", "difficulty": "medium", "similar_to": "Google Calendar"}}}
+{"query_id": "agisdk-gomail-5", "dataset": "agisdk-real", "query": "Schedule an email to jane.doe@example.com with the subject \"Weekly Update\" to be sent next Monday at 9:00 AM.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gomail.vercel.app", "metadata": {"original_task_id": "gomail-5", "website": "GoMail", "category": "agisdk-real", "additional": {"agisdk_task_id": "gomail-5", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "Gmail"}}}
+{"query_id": "agisdk-staynb-4", "dataset": "agisdk-real", "query": "Book a stay for 2 children with 1 adult. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-4", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-4", "challenge_type": "action", "difficulty": "medium", "similar_to": "Airbnb"}}}
+{"query_id": "agisdk-dashdish-2", "dataset": "agisdk-real", "query": "Add a \"Medium Pepperoni Pizza\" from the restaurant \"Papa Johns Pizza\" to the shopping cart and purchase it.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-dashdish.vercel.app", "metadata": {"original_task_id": "dashdish-2", "website": "DashDish", "category": "agisdk-real", "additional": {"agisdk_task_id": "dashdish-2", "challenge_type": "action", "difficulty": "easy", "similar_to": "Doordash"}}}
+{"query_id": "agisdk-staynb-8", "dataset": "agisdk-real", "query": "Scroll through the homepage and book the last stay located in Paris.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-8", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-8", "challenge_type": "retrieval-action", "difficulty": "medium", "similar_to": "Airbnb"}}}
+{"query_id": "agisdk-gomail-2", "dataset": "agisdk-real", "query": "Mark the first email in the Inbox as \"read\".", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gomail.vercel.app", "metadata": {"original_task_id": "gomail-2", "website": "GoMail", "category": "agisdk-real", "additional": {"agisdk_task_id": "gomail-2", "challenge_type": "action", "difficulty": "easy", "similar_to": "Gmail"}}}
+{"query_id": "agisdk-networkin-10", "dataset": "agisdk-real", "query": "Generate a polite follow-up message for a previous unanswered chat, starting with \"Following up on\".", "graders": ["agisdk_state_diff"], "start_url": "https://evals-networkin.vercel.app", "metadata": {"original_task_id": "networkin-10", "website": "Networkin", "category": "agisdk-real", "additional": {"agisdk_task_id": "networkin-10", "challenge_type": "action", "difficulty": "medium", "similar_to": "LinkedIn"}}}
+{"query_id": "agisdk-gomail-3", "dataset": "agisdk-real", "query": "Compose a new email to jonathan.smith@example.com with the subject \"Meeting Notes\" and body \"Please find the meeting notes attached.\"", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gomail.vercel.app", "metadata": {"original_task_id": "gomail-3", "website": "GoMail", "category": "agisdk-real", "additional": {"agisdk_task_id": "gomail-3", "challenge_type": "action", "difficulty": "easy", "similar_to": "Gmail"}}}
+{"query_id": "agisdk-udriver-6", "dataset": "agisdk-real", "query": "Me and 4 friends need a ride from the Palace Hotel to dinner at Osha Thai leaving now", "graders": ["agisdk_state_diff"], "start_url": "https://evals-udriver.vercel.app", "metadata": {"original_task_id": "udriver-6", "website": "UDriver", "category": "agisdk-real", "additional": {"agisdk_task_id": "udriver-6", "challenge_type": "action", "difficulty": "hard", "similar_to": "Uber"}}}
+{"query_id": "agisdk-staynb-9", "dataset": "agisdk-real", "query": "Book a stay with the maximum number of guests supported. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-9", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-9", "challenge_type": "action", "difficulty": "hard", "similar_to": "Airbnb"}}}
+{"query_id": "agisdk-zilloft-3", "dataset": "agisdk-real", "query": "Find a home in San Diego priced under $150,000 with at least 2 bedrooms and request a tour. Use these details: Contact Name: John Doe, Email: johndoe@example.com, Phone: 555-123-4567, Tour Time: 2:00 PM, Tour Date: First available.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-zilloft.vercel.app", "metadata": {"original_task_id": "zilloft-3", "website": "Zilloft", "category": "agisdk-real", "additional": {"agisdk_task_id": "zilloft-3", "challenge_type": "retrieval-action", "difficulty": "easy", "similar_to": "Zillow"}}}
+{"query_id": "agisdk-fly-unified-6", "dataset": "agisdk-real", "query": "Reserve me a seat for the flight from Austin to Pittsburgh departing on December 11th, 2024 at 8:00 in Basic Economy.\nPassenger: Alice Brown\nDate of Birth: 05/20/1992\nSex: Female\nSeat Selection: Yes (Aisle seat)\nPayment: Credit Card (378342143523967), Exp: 09/27, security code: 332 Address: 789 Pine St, Los Angeles, CA, 90012, USA, Phone: 555-456-7890, Email: alicebrown@example.com.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-fly-unified.vercel.app", "metadata": {"original_task_id": "fly-unified-6", "website": "Fly Unified", "category": "agisdk-real", "additional": {"agisdk_task_id": "fly-unified-6", "challenge_type": "action", "difficulty": "medium", "similar_to": "United Airlines"}}}
+{"query_id": "agisdk-opendining-3", "dataset": "agisdk-real", "query": "Book a table at \"The Royal Dine\" for a party of 4 on July 20, 2024, at 7 PM. For fields you don't know the answer for, just fill them in with anything of your choice.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-opendining.vercel.app", "metadata": {"original_task_id": "opendining-3", "website": "OpenDining", "category": "agisdk-real", "additional": {"agisdk_task_id": "opendining-3", "challenge_type": "action", "difficulty": "easy", "similar_to": "OpenTable"}}}
+{"query_id": "agisdk-gocalendar-7", "dataset": "agisdk-real", "query": "Reschedule the \"Morning Coffee with sister\" event from July 18, 2024, at 9 AM to July 19, 2024, at 10AM using drag-and-drop functionality", "graders": ["agisdk_state_diff"], "start_url": "https://evals-gocalendar.vercel.app", "metadata": {"original_task_id": "gocalendar-7", "website": "GoCalendar", "category": "agisdk-real", "additional": {"agisdk_task_id": "gocalendar-7", "challenge_type": "action", "difficulty": "medium", "similar_to": "Google Calendar"}}}
+{"query_id": "agisdk-staynb-5", "dataset": "agisdk-real", "query": "Use the search bar to look for a stay. For the \"Where\" section, use the \"Search by region\" popover and select \"Europe\". Set the check-in date to October 13th and the check-out date to October 23rd. For the \"Who\" section, select 1 infant, 2 children, and 2 adults. Press the search button, select the first stay, and book it.", "graders": ["agisdk_state_diff"], "start_url": "https://evals-staynb.vercel.app", "metadata": {"original_task_id": "staynb-5", "website": "StayNB", "category": "agisdk-real", "additional": {"agisdk_task_id": "staynb-5", "challenge_type": "action", "difficulty": "medium", "similar_to": "Airbnb"}}}

packages/browseros-agent/apps/eval2/package.json

@@ -0,0 +1,25 @@
+{
+  "name": "@browseros/eval2",
+  "version": "0.1.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "eval": "bun --env-file=.env.development run src/index.ts",
+    "typecheck": "tsc --noEmit"
+  },
+  "dependencies": {
+    "@browseros/server": "workspace:*",
+    "@browseros/shared": "workspace:*",
+    "@langfuse/core": "^4.0.0",
+    "@langfuse/otel": "^4.0.0",
+    "@langfuse/tracing": "^4.0.0",
+    "@modelcontextprotocol/sdk": "^1.27.1",
+    "@opentelemetry/sdk-node": "^0.205.0",
+    "ai": "^6.0.94",
+    "zod": "^3.22.4"
+  },
+  "devDependencies": {
+    "@types/bun": "latest",
+    "typescript": "^5.0.0"
+  }
+}

packages/browseros-agent/apps/eval2/scripts/agisdk-evaluate.py

@@ -0,0 +1,133 @@
+#!/usr/bin/env python3
+"""
+AGI SDK evaluation helper for BrowserOS eval framework.
+
+Reads JSON from stdin with task_id and env_state, runs the agisdk
+evaluator, and outputs the result as JSON to stdout.
+
+Input format:
+    {"task_id": "dashdish-1", "env_state": {...}, "model_response": ""}
+
+Output format:
+    {"reward": 0.0, "pass": false, "message": "...", "per_criterion": [...]}
+
+Lenient string matching is enabled by default: a failed criterion where
+expected_value is a clean substring of actual_value (both strings) is
+re-marked as a softened pass. This handles AGISDK tasks where the model
+adds harmless decoration to a title or note (e.g. topwork-3, topwork-4).
+Set AGISDK_STRICT_STRINGS=1 to disable and recover the strict score.
+"""
+
+import json
+import os
+import sys
+
+
+_STRICT = os.environ.get("AGISDK_STRICT_STRINGS", "").lower() in ("1", "true", "yes")
+
+
+def _soft_string_match(detail: object) -> bool:
+    """Return True iff `detail` is `{actual_value, expected_value}` with both
+    strings and a non-empty `expected_value` that is contained in `actual_value`
+    (case-insensitive). Otherwise False — the criterion stays failed.
+    """
+    if not isinstance(detail, dict):
+        return False
+    actual = detail.get("actual_value")
+    expected = detail.get("expected_value")
+    if not isinstance(actual, str) or not isinstance(expected, str):
+        return False
+    expected_stripped = expected.strip()
+    if not expected_stripped:
+        return False
+    return expected_stripped.lower() in actual.lower()
+
+
+def main():
+    data = json.loads(sys.stdin.read())
+    task_id = data["task_id"]
+    env_state = data["env_state"]
+    model_response = data.get("model_response", "")
+
+    try:
+        from agisdk.REAL.browsergym.webclones.evaluate import WebCloneEvaluator
+        from agisdk.REAL.browsergym.webclones.task_config import TaskConfig
+    except ImportError:
+        print(
+            json.dumps(
+                {
+                    "reward": 0,
+                    "pass": False,
+                    "message": "agisdk package not installed. Run: pip install agisdk",
+                    "per_criterion": [],
+                }
+            )
+        )
+        sys.exit(0)
+
+    try:
+        # Redirect stdout to stderr during evaluation — agisdk's rich logger
+        # prints directly to stdout, which would corrupt our JSON output
+        real_stdout = sys.stdout
+        sys.stdout = sys.stderr
+
+        tc = TaskConfig(task_id)
+        evaluator = WebCloneEvaluator(tc)
+        reward_val, _done, message, info = evaluator.evaluate(
+            env_state=env_state, model_response=model_response
+        )
+
+        sys.stdout = real_stdout
+
+        reward_val = float(reward_val) if reward_val is not None else 0.0
+        results = info.get("results", [])
+
+        per_criterion = []
+        softened_count = 0
+        for r in results:
+            passed = bool(r[0])
+            detail = r[1] if len(r) > 1 else ""
+            entry: dict = {"passed": passed, "detail": str(detail)}
+            if not _STRICT and not passed and _soft_string_match(detail):
+                entry["passed"] = True
+                entry["softened"] = True
+                softened_count += 1
+            per_criterion.append(entry)
+
+        # Recompute pass/reward after softening: if every criterion now passes,
+        # the task counts as a soft pass.
+        all_pass = all(c["passed"] for c in per_criterion) and bool(per_criterion)
+        if all_pass and reward_val != 1.0:
+            reward_val = 1.0
+
+        out_message = str(message)
+        if softened_count and all_pass:
+            out_message = f"Task passed (with {softened_count} softened string criterion/criteria)."
+
+        print(
+            json.dumps(
+                {
+                    "reward": reward_val,
+                    "pass": reward_val == 1.0,
+                    "message": out_message,
+                    "per_criterion": per_criterion,
+                }
+            )
+        )
+
+    except Exception as e:
+        sys.stdout = real_stdout if "real_stdout" in dir() else sys.__stdout__
+        print(
+            json.dumps(
+                {
+                    "reward": 0,
+                    "pass": False,
+                    "message": f"Evaluation error: {str(e)}",
+                    "per_criterion": [],
+                }
+            )
+        )
+
+
+if __name__ == "__main__":
+    main()

packages/browseros-agent/apps/eval2/src/agisdk-grader.ts

@@ -0,0 +1,221 @@
+import { spawn } from 'node:child_process'
+import { join } from 'node:path'
+import { z } from 'zod'
+import type { Grader, GraderInput, GraderResult } from './types'
+import { callMcpTool } from './utils/mcp-client'
+
+const EVAL_SCRIPT = join(
+  import.meta.dirname,
+  '..',
+  'scripts',
+  'agisdk-evaluate.py',
+)
+
+const PythonEvaluatorResultSchema = z.object({
+  reward: z.number(),
+  pass: z.boolean(),
+  message: z.string(),
+  per_criterion: z.array(z.unknown()),
+})
+
+type PythonEvaluatorResult = z.infer<typeof PythonEvaluatorResultSchema>
+
+function parsePythonEvaluatorOutput(stdout: string): PythonEvaluatorResult {
+  const jsonLine = stdout
+    .trim()
+    .split(/\r?\n/)
+    .reverse()
+    .find((line) => line.trim().startsWith('{'))
+  if (!jsonLine) {
+    throw new Error(`No JSON object found in evaluator output: ${stdout}`)
+  }
+
+  return PythonEvaluatorResultSchema.parse(JSON.parse(jsonLine))
+}
+
+export class AgisdkStateDiffGrader implements Grader {
+  readonly name = 'agisdk_state_diff'
+
+  async grade(input: GraderInput): Promise<GraderResult> {
+    const taskId = this.extractTaskId(input.task.query_id)
+    const startUrl = this.extractStartUrl(input)
+    const mcpEndpoint =
+      input.mcpUrl ||
+      `${process.env.BROWSEROS_SERVER_URL || 'http://127.0.0.1:9110'}/mcp`
+
+    if (!startUrl) {
+      return {
+        score: 0,
+        pass: false,
+        reasoning: 'Could not determine clone site URL from task',
+      }
+    }
+
+    const origin = new URL(startUrl).origin
+
+    let envState: Record<string, unknown>
+    try {
+      envState = await this.fetchFinishState(origin, mcpEndpoint)
+    } catch (error) {
+      return {
+        score: 0,
+        pass: false,
+        reasoning: `Failed to fetch /finish endpoint: ${error instanceof Error ? error.message : String(error)}`,
+        details: { origin, error: true },
+      }
+    }
+
+    try {
+      const result = await this.runPythonEvaluator(
+        taskId,
+        envState,
+        input.finalAnswer || '',
+      )
+      return {
+        score: result.reward,
+        pass: result.pass,
+        reasoning:
+          result.message ||
+          (result.pass ? 'All criteria passed' : 'Some criteria failed'),
+        details: {
+          reward: result.reward,
+          per_criterion: result.per_criterion,
+          origin,
+          agisdk_task_id: taskId,
+        },
+      }
+    } catch (error) {
+      return {
+        score: 0,
+        pass: false,
+        reasoning: `Python evaluator error: ${error instanceof Error ? error.message : String(error)}`,
+        details: { error: true },
+      }
+    }
+  }
+
+  private extractTaskId(queryId: string): string {
+    return queryId.replace(/^agisdk-/, '')
+  }
+
+  private extractStartUrl(input: GraderInput): string | null {
+    // Derive from task_id: "dashdish-10" → "https://evals-dashdish.vercel.app"
+    // Task IDs are "{site}-{number}" where site may contain hyphens (e.g. "fly-unified-5")
+    const taskId = this.extractTaskId(input.task.query_id)
+    const siteId = taskId.replace(/-\d+$/, '')
+    if (siteId) return `https://evals-${siteId}.vercel.app`
+
+    // Fallback: search messages for vercel.app URLs
+    for (const msg of input.messages) {
+      const text =
+        msg.type === 'user'
+          ? msg.content
+          : msg.type === 'tool-input-available'
+            ? JSON.stringify(msg.input)
+            : ''
+      const urlMatch = text.match(/https?:\/\/[^\s"']+\.vercel\.app/)
+      if (urlMatch) return urlMatch[0]
+    }
+
+    return null
+  }
+
+  private async fetchFinishState(
+    origin: string,
+    mcpEndpoint: string,
+  ): Promise<Record<string, unknown>> {
+    const finishUrl = `${origin}/finish`
+
+    // Navigate browser to /finish page (state diff is rendered client-side)
+    await callMcpTool(mcpEndpoint, 'navigate_page', {
+      url: finishUrl,
+      page: 1,
+    })
+
+    // Wait for the page to render, then extract JSON from <pre> element
+    const result = await callMcpTool(mcpEndpoint, 'evaluate_script', {
+      page: 1,
+      expression: `
+        new Promise((resolve, reject) => {
+          let attempts = 0;
+          const check = () => {
+            const pre = document.querySelector('pre');
+            if (pre && pre.textContent.trim().startsWith('{')) {
+              resolve(pre.textContent);
+            } else if (++attempts > 20) {
+              reject(new Error('Timed out waiting for <pre> JSON on /finish'));
+            } else {
+              setTimeout(check, 500);
+            }
+          };
+          check();
+        })
+      `,
+    })
+
+    const textContent = result.content?.find(
+      (c: { type: string }) => c.type === 'text',
+    )
+    if (!textContent?.text) {
+      throw new Error('No text content returned from /finish page')
+    }
+
+    return JSON.parse(textContent.text) as Record<string, unknown>
+  }
+
+  private runPythonEvaluator(
+    taskId: string,
+    envState: Record<string, unknown>,
+    modelResponse: string,
+  ): Promise<PythonEvaluatorResult> {
+    return new Promise((resolve, reject) => {
+      const proc = spawn('python3', [EVAL_SCRIPT], {
+        stdio: ['pipe', 'pipe', 'pipe'],
+      })
+
+      const inputData = JSON.stringify({
+        task_id: taskId,
+        env_state: envState,
+        model_response: modelResponse,
+      })
+
+      let stdout = ''
+      let stderr = ''
+
+      proc.stdout.on('data', (data: Buffer) => {
+        stdout += data.toString()
+      })
+
+      proc.stderr.on('data', (data: Buffer) => {
+        stderr += data.toString()
+      })
+
+      proc.on('close', (code) => {
+        if (code !== 0) {
+          reject(
+            new Error(`Python evaluator exited with code ${code}: ${stderr}`),
+          )
+          return
+        }
+
+        try {
+          const result = parsePythonEvaluatorOutput(stdout)
+          resolve(result)
+        } catch (error) {
+          reject(
+            new Error(
+              `Failed to parse evaluator output: ${error instanceof Error ? error.message : String(error)}: ${stdout}`,
+            ),
+          )
+        }
+      })
+
+      proc.on('error', (err) => {
+        reject(new Error(`Failed to spawn Python evaluator: ${err.message}`))
+      })
+
+      proc.stdin.write(inputData)
+      proc.stdin.end()
+    })
+  }
+}

packages/browseros-agent/apps/eval2/src/benchmark-config.ts

@@ -0,0 +1,97 @@
+import { readFile } from 'node:fs/promises'
+import { dirname, isAbsolute, resolve } from 'node:path'
+import { z } from 'zod'
+
+export const BenchmarkConfigSchema = z.object({
+  name: z.string(),
+  dataset: z.string(),
+  provider: z.literal('openai'),
+  model: z.string(),
+  apiKeyEnv: z.string(),
+  browserosBinary: z.string(),
+  ports: z.object({
+    cdp: z.number().int().positive(),
+    server: z.number().int().positive(),
+    extension: z.number().int().positive(),
+  }),
+  timeoutMs: z.number().int().positive().default(600_000),
+  maxTasks: z.number().int().positive().optional(),
+  langfuse: z.object({
+    enabled: z.boolean(),
+    sessionPrefix: z.string(),
+    screenshotMode: z.enum(['all', 'mutating-only', 'never']).default('all'),
+  }),
+})
+
+export type BenchmarkConfig = z.infer<typeof BenchmarkConfigSchema>
+
+export interface LoadedConfig {
+  config: BenchmarkConfig
+  configDir: string
+  datasetPath: string
+}
+
+function stripJsonComments(content: string): string {
+  let output = ''
+  let inString = false
+  let escaped = false
+
+  for (let index = 0; index < content.length; index++) {
+    const char = content[index]
+    const next = content[index + 1]
+
+    if (inString) {
+      output += char
+      if (escaped) {
+        escaped = false
+      } else if (char === '\\') {
+        escaped = true
+      } else if (char === '"') {
+        inString = false
+      }
+      continue
+    }
+
+    if (char === '"') {
+      inString = true
+      output += char
+      continue
+    }
+
+    if (char === '/' && next === '/') {
+      while (index < content.length && content[index] !== '\n') {
+        index++
+      }
+      output += '\n'
+      continue
+    }
+
+    output += char
+  }
+
+  return output
+}
+
+export async function loadBenchmarkConfig(
+  configPath: string,
+): Promise<LoadedConfig> {
+  const absoluteConfigPath = isAbsolute(configPath)
+    ? configPath
+    : resolve(process.cwd(), configPath)
+  const raw = await readFile(absoluteConfigPath, 'utf-8')
+  const parsed: unknown = JSON.parse(stripJsonComments(raw))
+  const config = BenchmarkConfigSchema.parse(parsed)
+
+  const configDir = dirname(absoluteConfigPath)
+  const datasetPath = isAbsolute(config.dataset)
+    ? config.dataset
+    : resolve(configDir, config.dataset)
+
+  if (!process.env[config.apiKeyEnv]) {
+    throw new Error(
+      `Missing required env var: ${config.apiKeyEnv}. Set it in .env.development or your shell.`,
+    )
+  }
+
+  return { config, configDir, datasetPath }
+}

packages/browseros-agent/apps/eval2/src/browseros-app-manager.ts

@@ -0,0 +1,327 @@
+/**
+ * BrowserOS App Manager
+ *
+ * Manages BrowserOS lifecycle for eval workers.
+ * Mirrors scripts/dev/start.ts --manual mode with per-worker isolation:
+ *
+ *   1. Kill ports
+ *   2. Launch Chrome directly with per-worker user-data-dir and ports
+ *   3. Wait for CDP
+ *   4. Start server with port env vars
+ *   5. Wait for server health
+ *
+ * Each worker gets isolated ports: base + workerIndex offset.
+ */
+
+import {
+  existsSync,
+  mkdtempSync,
+  readFileSync,
+  rmSync,
+  writeFileSync,
+} from 'node:fs'
+import { dirname, join } from 'node:path'
+import { fileURLToPath } from 'node:url'
+import { type Subprocess, spawn, spawnSync } from 'bun'
+import { sleep } from './utils/sleep'
+
+export interface EvalPorts {
+  cdp: number
+  server: number
+  extension: number
+}
+
+const MAX_RESTART_ATTEMPTS = 3
+const CDP_WAIT_TIMEOUT_MS = 30_000
+const SERVER_HEALTH_TIMEOUT_MS = 30_000
+
+const MONOREPO_ROOT = join(dirname(fileURLToPath(import.meta.url)), '../../..')
+
+const DEFAULT_BROWSEROS_BINARY =
+  '/Applications/BrowserOS.app/Contents/MacOS/BrowserOS'
+
+const CAPTCHA_EXT_DIR = join(
+  dirname(fileURLToPath(import.meta.url)),
+  '../extensions/nopecha',
+)
+
+export class BrowserOSAppManager {
+  private readonly ports: EvalPorts
+  private chromeProc: Subprocess | null = null
+  private serverProc: Subprocess | null = null
+  private tempDir: string | null = null
+  private readonly workerIndex: number
+  private readonly loadExtensions: boolean
+  private readonly headless: boolean
+  private readonly browserosBinary: string
+
+  constructor(
+    workerIndex: number = 0,
+    basePorts?: EvalPorts,
+    loadExtensions: boolean = false,
+    headless: boolean = false,
+    browserosBinary: string = process.env.BROWSEROS_BINARY ||
+      DEFAULT_BROWSEROS_BINARY,
+  ) {
+    this.workerIndex = workerIndex
+    this.loadExtensions = loadExtensions
+    this.headless = headless
+    this.browserosBinary = browserosBinary
+    const base = basePorts ?? { cdp: 9010, server: 9110, extension: 9310 }
+    this.ports = {
+      cdp: base.cdp + workerIndex,
+      server: base.server + workerIndex,
+      extension: base.extension + workerIndex,
+    }
+  }
+
+  getServerUrl(): string {
+    return `http://127.0.0.1:${this.ports.server}`
+  }
+
+  getPorts(): EvalPorts {
+    return this.ports
+  }
+
+  /**
+   * Restart: kill existing, then start fresh
+   */
+  async restart(): Promise<void> {
+    for (let attempt = 1; attempt <= MAX_RESTART_ATTEMPTS; attempt++) {
+      console.log(
+        `  [W${this.workerIndex}] Restart attempt ${attempt}/${MAX_RESTART_ATTEMPTS}...`,
+      )
+
+      await this.killApp()
+      await sleep(2000)
+
+      try {
+        await this.startAll()
+        console.log(`  [W${this.workerIndex}] Ready`)
+        return
+      } catch (error) {
+        console.warn(
+          `  [W${this.workerIndex}] Start failed (attempt ${attempt}): ${error instanceof Error ? error.message : String(error)}`,
+        )
+      }
+    }
+
+    throw new Error(
+      `Failed to start BrowserOS after ${MAX_RESTART_ATTEMPTS} attempts`,
+    )
+  }
+
+  /**
+   * Launch Chrome + Server — mirrors start.ts --manual mode.
+   *
+   * Chrome flags match startManualBrowser() in scripts/dev/start.ts:
+   *   --no-first-run, --no-default-browser-check, --use-mock-keychain
+   *   --disable-browseros-server  (we run our own server)
+   *   --disable-browseros-extensions  (we load them explicitly if needed)
+   *   --remote-debugging-port, --browseros-mcp-port, --browseros-extension-port
+   *   --user-data-dir (unique per worker)
+   *   --load-extension (optional, unpacked helper extensions)
+   */
+  private async startAll(): Promise<void> {
+    const { cdp, server, extension } = this.ports
+
+    // Unique temp dir per worker per restart
+    this.tempDir = mkdtempSync('/tmp/browseros-eval-')
+
+    console.log(
+      `  [W${this.workerIndex}] Ports: CDP=${cdp} Server=${server} Extension=${extension}${this.headless ? ' (headless)' : ''}`,
+    )
+    console.log(`  [W${this.workerIndex}] Profile: ${this.tempDir}`)
+
+    // --- Chrome Launch (matches start.ts startManualBrowser) ---
+    const chromeArgs = [
+      '--no-first-run',
+      '--no-default-browser-check',
+      '--use-mock-keychain',
+      '--disable-browseros-server',
+      '--disable-browseros-extensions',
+      ...(this.headless ? ['--headless=new'] : []),
+      '--window-size=1440,900',
+      `--remote-debugging-port=${cdp}`,
+      `--browseros-mcp-port=${server}`,
+      `--browseros-extension-port=${extension}`,
+      `--user-data-dir=${this.tempDir}`,
+    ]
+
+    const extensions: string[] = []
+    if (this.loadExtensions && existsSync(CAPTCHA_EXT_DIR)) {
+      extensions.push(CAPTCHA_EXT_DIR)
+    }
+    if (extensions.length > 0) {
+      chromeArgs.push(`--load-extension=${extensions.join(',')}`)
+    }
+
+    chromeArgs.push('about:blank')
+
+    this.chromeProc = spawn({
+      cmd: [this.browserosBinary, ...chromeArgs],
+      stdout: 'ignore',
+      stderr: 'ignore',
+    })
+    console.log(
+      `  [W${this.workerIndex}] Chrome started (PID: ${this.chromeProc.pid})`,
+    )
+
+    // --- Wait for CDP ---
+    if (!(await this.waitForCdp())) {
+      throw new Error('CDP not available after timeout')
+    }
+    console.log(`  [W${this.workerIndex}] CDP ready`)
+
+    // --- Server Launch (matches start.ts createEnv + startServer) ---
+    const serverEnv = {
+      ...process.env,
+      NODE_ENV: 'development',
+      BROWSEROS_CDP_PORT: String(cdp),
+      BROWSEROS_SERVER_PORT: String(server),
+      BROWSEROS_EXTENSION_PORT: String(extension),
+      VITE_BROWSEROS_SERVER_PORT: String(server),
+    }
+
+    this.serverProc = spawn({
+      cmd: [process.execPath, 'run', '--filter', '@browseros/server', 'start'],
+      cwd: MONOREPO_ROOT,
+      stdout: 'ignore',
+      stderr: 'ignore',
+      env: serverEnv,
+    })
+    console.log(
+      `  [W${this.workerIndex}] Server started (PID: ${this.serverProc.pid})`,
+    )
+
+    // --- Wait for Server Health ---
+    if (!(await this.waitForServerHealth())) {
+      throw new Error('Server health check timed out')
+    }
+    console.log(`  [W${this.workerIndex}] Server healthy`)
+  }
+
+  private async waitForCdp(): Promise<boolean> {
+    const startTime = Date.now()
+    while (Date.now() - startTime < CDP_WAIT_TIMEOUT_MS) {
+      try {
+        const res = await fetch(
+          `http://127.0.0.1:${this.ports.cdp}/json/version`,
+          { signal: AbortSignal.timeout(1000) },
+        )
+        if (res.ok) return true
+      } catch {
+        // not ready
+      }
+      await sleep(500)
+    }
+    return false
+  }
+
+  private async waitForServerHealth(): Promise<boolean> {
+    const startTime = Date.now()
+    while (Date.now() - startTime < SERVER_HEALTH_TIMEOUT_MS) {
+      try {
+        const res = await fetch(
+          `http://127.0.0.1:${this.ports.server}/health`,
+          { signal: AbortSignal.timeout(1000) },
+        )
+        if (res.ok) return true
+      } catch {
+        // not ready
+      }
+      await sleep(500)
+    }
+    return false
+  }
+
+  /**
+   * Kill Chrome + Server, clean up temp dir.
+   * Mirrors start.ts cleanup but per-worker (port-based, not pgrep).
+   */
+  async killApp(): Promise<void> {
+    // Kill server first (graceful → force)
+    await this.killProcess(this.serverProc)
+    this.serverProc = null
+
+    // Kill Chrome (graceful → force)
+    await this.killProcess(this.chromeProc)
+    this.chromeProc = null
+
+    await sleep(1000)
+
+    // Force kill anything still on our ports
+    if (this.isAppRunning()) {
+      for (const port of [
+        this.ports.cdp,
+        this.ports.server,
+        this.ports.extension,
+      ]) {
+        spawnSync({
+          cmd: [
+            'sh',
+            '-c',
+            `lsof -ti:${port} -sTCP:LISTEN | xargs kill -9 2>/dev/null || true`,
+          ],
+        })
+      }
+    }
+
+    // Clean up temp dir
+    if (this.tempDir) {
+      try {
+        rmSync(this.tempDir, { recursive: true, force: true })
+      } catch {
+        // ignore
+      }
+      this.tempDir = null
+    }
+  }
+
+  private async killProcess(proc: Subprocess | null): Promise<void> {
+    if (!proc) return
+    try {
+      proc.kill('SIGTERM')
+      await Promise.race([proc.exited, sleep(2000)])
+      try {
+        proc.kill('SIGKILL')
+      } catch {
+        // already dead
+      }
+    } catch {
+      // already dead
+    }
+  }
+
+  /**
+   * Check if anything is listening on our server port (port-specific, not pgrep)
+   */
+  isAppRunning(): boolean {
+    const result = spawnSync({
+      cmd: [
+        'sh',
+        '-c',
+        `lsof -ti:${this.ports.server} -sTCP:LISTEN 2>/dev/null`,
+      ],
+    })
+    return (result.stdout?.toString().trim() ?? '').length > 0
+  }
+
+  /**
+   * Patch NopeCHA extension manifest with API key.
+   * Call once before launching any workers — the extension directory is shared.
+   */
+  static patchNopechaApiKey(apiKey: string): void {
+    const manifestPath = join(CAPTCHA_EXT_DIR, 'manifest.json')
+    if (!existsSync(manifestPath)) {
+      console.log(
+        '[BROWSEROS] NopeCHA extension not found, skipping API key patch',
+      )
+      return
+    }
+    const manifest = JSON.parse(readFileSync(manifestPath, 'utf-8'))
+    manifest.nopecha = { ...manifest.nopecha, key: apiKey }
+    writeFileSync(manifestPath, JSON.stringify(manifest, null, 2))
+    console.log('[BROWSEROS] NopeCHA API key patched')
+  }
+}

packages/browseros-agent/apps/eval2/src/eval-runner.ts

@@ -0,0 +1,276 @@
+import { mkdir, readFile, writeFile } from 'node:fs/promises'
+import { join, resolve } from 'node:path'
+import { z } from 'zod'
+import { AgisdkStateDiffGrader } from './agisdk-grader'
+import { type BenchmarkConfig, loadBenchmarkConfig } from './benchmark-config'
+import { BrowserOSAppManager } from './browseros-app-manager'
+import { SingleAgent } from './single-agent'
+import { flushTracing, getTaskSessionId, initTracing } from './tracing'
+import {
+  type GraderResult,
+  type RawTask,
+  RawTaskSchema,
+  type RunSummary,
+  type Task,
+  type TaskResult,
+} from './types'
+
+const RawTaskArraySchema = z.array(RawTaskSchema)
+
+function parseJsonlTasks(raw: string): RawTask[] {
+  const trimmed = raw.trim()
+  if (!trimmed) {
+    return []
+  }
+
+  if (trimmed.startsWith('[')) {
+    return RawTaskArraySchema.parse(JSON.parse(trimmed))
+  }
+
+  return trimmed
+    .split(/\r?\n/)
+    .filter((line) => line.trim().length > 0)
+    .map((line, index) => {
+      try {
+        return RawTaskSchema.parse(JSON.parse(line))
+      } catch (error) {
+        throw new Error(
+          `Invalid dataset JSONL on line ${index + 1}: ${error instanceof Error ? error.message : String(error)}`,
+        )
+      }
+    })
+}
+
+async function loadTasks(
+  datasetPath: string,
+  maxTasks: number | undefined,
+): Promise<{ tasks: Task[]; total: number }> {
+  const raw = await readFile(datasetPath, 'utf-8')
+  const entries = parseJsonlTasks(raw)
+  const tasks = entries.map((entry) => ({
+    queryId: entry.query_id,
+    query: entry.query,
+    dataset: entry.dataset,
+    startUrl: entry.start_url,
+  }))
+
+  return {
+    tasks: maxTasks ? tasks.slice(0, maxTasks) : tasks,
+    total: tasks.length,
+  }
+}
+
+function formatTimestamp(date: Date): string {
+  const year = date.getFullYear()
+  const month = String(date.getMonth() + 1).padStart(2, '0')
+  const day = String(date.getDate()).padStart(2, '0')
+  const hour = String(date.getHours()).padStart(2, '0')
+  const minute = String(date.getMinutes()).padStart(2, '0')
+  return `${year}-${month}-${day}-${hour}${minute}`
+}
+
+function buildSummary(
+  config: BenchmarkConfig,
+  runId: string,
+  startedAt: Date,
+  results: TaskResult[],
+): RunSummary {
+  const passed = results.filter((result) => result.status === 'PASS').length
+  const failed = results.length - passed
+  const passRate = results.length > 0 ? passed / results.length : 0
+  const avgDurationMs =
+    results.length > 0
+      ? results.reduce((sum, result) => sum + result.durationMs, 0) /
+        results.length
+      : 0
+
+  return {
+    runId,
+    configName: config.name,
+    model: config.model,
+    startedAt: startedAt.toISOString(),
+    completedAt: new Date().toISOString(),
+    total: results.length,
+    passed,
+    failed,
+    passRate,
+    avgDurationMs,
+    tasks: results.map((result) => ({
+      queryId: result.task.queryId,
+      status: result.status,
+      durationMs: result.durationMs,
+      graderReward: result.graderResult.score,
+      langfuseSessionId: getTaskSessionId(result.task, config, runId),
+    })),
+  }
+}
+
+function printSummary(summary: RunSummary): void {
+  const separator = '='.repeat(60)
+  console.log(`\n${separator}`)
+  console.log('EVALUATION COMPLETE')
+  console.log(
+    `Total: ${summary.total} | Passed: ${summary.passed} | ` +
+      `Failed: ${summary.failed} | Pass rate: ${(
+        summary.passRate * 100
+      ).toFixed(1)}% | Avg: ${(summary.avgDurationMs / 1000).toFixed(1)}s`,
+  )
+  console.log(separator)
+}
+
+function buildFailedTaskResult(
+  task: Task,
+  startedAtMs: number,
+  reason: string,
+): TaskResult {
+  return {
+    task,
+    agentResult: {
+      finalAnswer: null,
+      messages: [],
+      terminationReason: 'error',
+      toolCallCount: 0,
+    },
+    graderResult: {
+      score: 0,
+      pass: false,
+      reasoning: reason,
+    },
+    durationMs: Date.now() - startedAtMs,
+    status: 'FAIL',
+  }
+}
+
+export async function runEval(configPath: string): Promise<void> {
+  const startedAt = new Date()
+  const { config, configDir, datasetPath } =
+    await loadBenchmarkConfig(configPath)
+  const { tasks, total } = await loadTasks(datasetPath, config.maxTasks)
+  const runId = `${config.name}-${formatTimestamp(startedAt)}`
+  const outputDir = resolve(configDir, '..', 'results', runId)
+
+  console.log(`Loaded config: ${configPath}`)
+  console.log(
+    `Dataset: ${tasks.length} tasks${
+      config.maxTasks ? ` (capped from ${total})` : ''
+    }`,
+  )
+
+  initTracing(config)
+  await mkdir(outputDir, { recursive: true })
+
+  const appManager = new BrowserOSAppManager(
+    0,
+    config.ports,
+    false,
+    false,
+    config.browserosBinary,
+  )
+  const grader = new AgisdkStateDiffGrader()
+  const results: TaskResult[] = []
+  let agent: SingleAgent | null = null
+
+  const onSignal = async (): Promise<void> => {
+    console.log('\nShutting down...')
+    await agent?.dispose().catch(() => {})
+    await appManager.killApp()
+    await flushTracing()
+    process.exit(130)
+  }
+  process.on('SIGINT', onSignal)
+  process.on('SIGTERM', onSignal)
+
+  try {
+    console.log(
+      `[W0] Booting BrowserOS - CDP=${config.ports.cdp} Server=${config.ports.server} Extension=${config.ports.extension}`,
+    )
+    await appManager.restart()
+    console.log('[W0] Chrome ready, Server healthy')
+
+    agent = new SingleAgent({
+      config,
+      serverUrl: appManager.getServerUrl(),
+      runId,
+    })
+
+    const activeAgent = agent
+
+    for (const [index, task] of tasks.entries()) {
+      const taskStart = Date.now()
+      console.log(`\n[${index + 1}/${tasks.length}] ${task.queryId} starting`)
+
+      // sessionId on AI SDK telemetry already groups all spans for this task;
+      // no outer observe() wrapper needed
+      const agentResult = await activeAgent
+        .runTask(task)
+        .catch((error: unknown) => {
+          console.warn(
+            `[${index + 1}/${tasks.length}] ${task.queryId}: agent crashed - ${
+              error instanceof Error ? error.message : String(error)
+            }`,
+          )
+          return null
+        })
+
+      if (!agentResult) {
+        results.push(
+          buildFailedTaskResult(task, taskStart, 'Agent crashed before result'),
+        )
+        await activeAgent.cleanup()
+        continue
+      }
+
+      let graderResult: GraderResult
+      try {
+        graderResult = await grader.grade({
+          task: {
+            query_id: task.queryId,
+            query: task.query,
+            dataset: task.dataset,
+          },
+          messages: agentResult.messages,
+          screenshotCount: 0,
+          finalAnswer: agentResult.finalAnswer,
+          outputDir: join(outputDir, task.queryId),
+          mcpUrl: `${appManager.getServerUrl()}/mcp`,
+        })
+      } catch (error) {
+        graderResult = {
+          score: 0,
+          pass: false,
+          reasoning: `Grader crashed: ${error instanceof Error ? error.message : String(error)}`,
+        }
+      }
+
+      const status: TaskResult['status'] = graderResult.pass ? 'PASS' : 'FAIL'
+      const durationMs = Date.now() - taskStart
+      console.log(
+        `[${index + 1}/${tasks.length}] ${task.queryId}: ${status} (${(
+          durationMs / 1000
+        ).toFixed(1)}s)${
+          graderResult.pass ? '' : ` - ${graderResult.reasoning}`
+        }`,
+      )
+
+      results.push({ task, agentResult, graderResult, durationMs, status })
+      await agent.cleanup()
+    }
+  } finally {
+    process.off('SIGINT', onSignal)
+    process.off('SIGTERM', onSignal)
+    await agent?.dispose().catch(() => {})
+    await appManager.killApp()
+    await flushTracing()
+  }
+
+  const summary = buildSummary(config, runId, startedAt, results)
+  const summaryPath = join(outputDir, 'summary.json')
+  await writeFile(summaryPath, JSON.stringify(summary, null, 2))
+  printSummary(summary)
+  console.log(`Summary: ${summaryPath}`)
+  if (summary.tasks.some((task) => task.langfuseSessionId)) {
+    const baseUrl =
+      process.env.LANGFUSE_BASE_URL ?? 'https://cloud.langfuse.com'
+    console.log(`View traces: ${baseUrl}`)
+  }
+}

packages/browseros-agent/apps/eval2/src/index.ts

@@ -0,0 +1,45 @@
+import { parseArgs } from 'node:util'
+import { runEval } from './eval-runner'
+
+const HELP = `
+eval2 - Langfuse-traced eval runner
+
+Usage:
+  bun run eval --config <path-to-config.jsonc>
+
+Options:
+  -c, --config <path>   Path to a benchmark config JSONC file (required)
+  -h, --help            Show this help
+
+Examples:
+  bun run eval --config benchmark-configs/agisdk-smoke.jsonc
+`
+
+export async function main(): Promise<void> {
+  const { values } = parseArgs({
+    args: Bun.argv.slice(2),
+    options: {
+      config: { type: 'string', short: 'c' },
+      help: { type: 'boolean', short: 'h' },
+    },
+  })
+
+  if (values.help) {
+    console.log(HELP)
+    process.exit(0)
+  }
+
+  if (!values.config) {
+    console.log(HELP)
+    process.exit(1)
+  }
+
+  try {
+    await runEval(values.config)
+  } catch (error) {
+    console.error(error instanceof Error ? error.message : String(error))
+    process.exit(1)
+  }
+}
+
+await main()

packages/browseros-agent/apps/eval2/src/single-agent.ts

@@ -0,0 +1,253 @@
+import { randomUUID } from 'node:crypto'
+import {
+  AiSdkAgent,
+  formatUserMessage,
+} from '@browseros/server/agent/tool-loop'
+import type { ResolvedAgentConfig } from '@browseros/server/agent/types'
+import { Browser } from '@browseros/server/browser'
+import { CdpBackend } from '@browseros/server/browser/backends/cdp'
+import { registry } from '@browseros/server/tools/registry'
+import type { BrowserContext } from '@browseros/shared/schemas/browser-context'
+import { LLM_PROVIDERS } from '@browseros/shared/schemas/llm'
+import type { BenchmarkConfig } from './benchmark-config'
+import { getAiSdkTelemetry, logScreenshot } from './tracing'
+import type { AgentResult, Message, Task } from './types'
+import { callMcpTool } from './utils/mcp-client'
+
+const MUTATING_TOOLS = new Set([
+  'click',
+  'click_at',
+  'fill',
+  'navigate_page',
+  'scroll',
+  'press_key',
+  'select_option',
+  'drag',
+  'drag_at',
+  'type_at',
+])
+
+export interface SingleAgentDeps {
+  config: BenchmarkConfig
+  serverUrl: string
+  runId: string
+}
+
+export class SingleAgent {
+  private readonly config: BenchmarkConfig
+  private readonly serverUrl: string
+  private readonly mcpUrl: string
+  private readonly runId: string
+  private cdp: CdpBackend | null = null
+  private browser: Browser | null = null
+  private activePageId = 1
+
+  constructor(deps: SingleAgentDeps) {
+    this.config = deps.config
+    this.serverUrl = deps.serverUrl
+    this.mcpUrl = `${deps.serverUrl}/mcp`
+    this.runId = deps.runId
+  }
+
+  private async ensureConnected(): Promise<void> {
+    if (this.browser) {
+      return
+    }
+
+    this.cdp = new CdpBackend({ port: this.config.ports.cdp })
+    await this.cdp.connect()
+    this.browser = new Browser(this.cdp)
+    const pages = await this.browser.listPages()
+    this.activePageId = pages[0]?.pageId ?? 1
+  }
+
+  private async getBrowserContext(): Promise<BrowserContext> {
+    if (!this.browser) {
+      throw new Error('SingleAgent: browser not initialized')
+    }
+
+    const pages = await this.browser.listPages()
+    const activePage =
+      pages.find((page) => page.pageId === this.activePageId) ?? pages[0]
+    if (activePage) {
+      this.activePageId = activePage.pageId
+      return {
+        activeTab: {
+          id: activePage.tabId,
+          pageId: activePage.pageId,
+          url: activePage.url,
+          title: activePage.title,
+        },
+      }
+    }
+
+    return {
+      activeTab: {
+        id: this.activePageId,
+        pageId: this.activePageId,
+        url: 'about:blank',
+        title: '',
+      },
+    }
+  }
+
+  private async navigateToStartUrl(task: Task): Promise<void> {
+    if (!task.startUrl || task.startUrl === 'about:blank') {
+      return
+    }
+
+    await callMcpTool(this.mcpUrl, 'navigate_page', {
+      url: task.startUrl,
+      page: this.activePageId,
+    })
+  }
+
+  async runTask(task: Task): Promise<AgentResult> {
+    await this.ensureConnected()
+    if (!this.browser) {
+      throw new Error('SingleAgent: browser not initialized')
+    }
+
+    await this.navigateToStartUrl(task)
+    const browserContext = await this.getBrowserContext()
+    const apiKey = process.env[this.config.apiKeyEnv]
+    if (!apiKey) {
+      throw new Error(`Missing ${this.config.apiKeyEnv}`)
+    }
+
+    const conversationId = randomUUID()
+    const resolvedConfig: ResolvedAgentConfig = {
+      provider: LLM_PROVIDERS.OPENAI,
+      model: this.config.model,
+      apiKey,
+      conversationId,
+      workingDir: `/tmp/browseros-eval2-${conversationId}`,
+      evalMode: true,
+      supportsImages: true,
+    }
+
+    const agent = await AiSdkAgent.create({
+      resolvedConfig,
+      browser: this.browser,
+      registry,
+      browserContext,
+      aiSdkTelemetry: getAiSdkTelemetry(
+        task,
+        this.config,
+        this.runId,
+        conversationId,
+      ),
+    })
+
+    const messages: Message[] = [{ type: 'user', content: task.query }]
+    let toolCallCount = 0
+    let terminationReason: AgentResult['terminationReason'] = 'done'
+    let finalAnswer: string | null = null
+    let lastToolName: string | null = null
+    const controller = new AbortController()
+    const timeoutHandle = setTimeout(() => {
+      controller.abort()
+    }, this.config.timeoutMs)
+    const screenshotMode = this.config.langfuse.screenshotMode
+
+    try {
+      const prompt = formatUserMessage(task.query, browserContext)
+      const result = await agent.toolLoopAgent.generate({
+        prompt,
+        abortSignal: controller.signal,
+        experimental_onToolCallStart: ({ toolCall }) => {
+          // remember tool name for the matching onToolCallFinish + track active page
+          lastToolName = toolCall.toolName
+          const input = toolCall.input as Record<string, unknown> | undefined
+          if (input && typeof input.page === 'number') {
+            this.activePageId = input.page
+          }
+        },
+        experimental_onToolCallFinish: async () => {
+          // capture screenshot after each tool runs - non-fatal on failure
+          if (screenshotMode === 'never' || !this.browser || !lastToolName) {
+            return
+          }
+          if (
+            screenshotMode === 'mutating-only' &&
+            !MUTATING_TOOLS.has(lastToolName)
+          ) {
+            return
+          }
+          try {
+            const shot = await this.browser.screenshot(this.activePageId, {
+              format: 'png',
+              fullPage: false,
+            })
+            const pages = await this.browser.listPages()
+            const pageUrl = pages.find(
+              (page) => page.pageId === this.activePageId,
+            )?.url
+            await logScreenshot(
+              lastToolName,
+              Buffer.from(shot.data, 'base64'),
+              pageUrl,
+            )
+          } catch {
+            // screenshot failures never fail a task
+          }
+        },
+        onStepFinish: ({ toolCalls, toolResults, text }) => {
+          toolCallCount += toolCalls.length
+          for (const toolCall of toolCalls) {
+            messages.push({
+              type: 'tool-input-available',
+              toolCallId: toolCall.toolCallId,
+              toolName: toolCall.toolName,
+              input: toolCall.input,
+            })
+          }
+
+          for (const toolResult of toolResults) {
+            messages.push({
+              type: 'tool-output-available',
+              toolCallId: toolResult.toolCallId,
+              output: toolResult.output,
+            })
+          }
+
+          if (text) {
+            messages.push({ type: 'text', text })
+          }
+        },
+      })
+      finalAnswer = result.text || null
+    } catch (error) {
+      if (controller.signal.aborted) {
+        terminationReason = 'timeout'
+      } else {
+        terminationReason = 'error'
+        console.warn(
+          `Task ${task.queryId} failed mid-run: ${error instanceof Error ? error.message : String(error)}`,
+        )
+      }
+    } finally {
+      clearTimeout(timeoutHandle)
+      await agent.dispose().catch(() => {})
+    }
+
+    return { finalAnswer, messages, terminationReason, toolCallCount }
+  }
+
+  async cleanup(): Promise<void> {
+    if (!this.browser) {
+      return
+    }
+
+    await callMcpTool(this.mcpUrl, 'navigate_page', {
+      url: 'about:blank',
+      page: this.activePageId,
+    }).catch(() => {})
+  }
+
+  async dispose(): Promise<void> {
+    await this.cdp?.disconnect().catch(() => {})
+    this.cdp = null
+    this.browser = null
+  }
+}

packages/browseros-agent/apps/eval2/src/tracing.ts

@@ -0,0 +1,135 @@
+import { LangfuseMedia } from '@langfuse/core'
+import { LangfuseSpanProcessor } from '@langfuse/otel'
+import { startActiveObservation } from '@langfuse/tracing'
+import { NodeSDK } from '@opentelemetry/sdk-node'
+import type { TelemetrySettings } from 'ai'
+import type { BenchmarkConfig } from './benchmark-config'
+import type { Task } from './types'
+
+let sdk: NodeSDK | null = null
+let processor: LangfuseSpanProcessor | null = null
+let initialized = false
+
+export function initTracing(config: BenchmarkConfig): void {
+  if (!config.langfuse.enabled) {
+    console.log('Langfuse tracing disabled in config')
+    return
+  }
+  // both keys required; warn and run untraced if either is missing
+  const publicKey = process.env.LANGFUSE_PUBLIC_KEY
+  const secretKey = process.env.LANGFUSE_SECRET_KEY
+  if (!publicKey || !secretKey) {
+    console.warn(
+      'LANGFUSE_PUBLIC_KEY/LANGFUSE_SECRET_KEY not set - running without tracing',
+    )
+    return
+  }
+
+  try {
+    processor = new LangfuseSpanProcessor({
+      publicKey,
+      secretKey,
+      baseUrl: process.env.LANGFUSE_BASE_URL ?? 'https://cloud.langfuse.com',
+      environment: process.env.NODE_ENV ?? 'development',
+    })
+    sdk = new NodeSDK({ spanProcessors: [processor] })
+    sdk.start()
+    initialized = true
+    console.log(
+      `Langfuse tracing enabled (session prefix: ${config.langfuse.sessionPrefix})`,
+    )
+  } catch (error) {
+    initialized = false
+    sdk = null
+    processor = null
+    console.warn(
+      `Langfuse initialization failed - running without tracing: ${
+        error instanceof Error ? error.message : String(error)
+      }`,
+    )
+  }
+}
+
+export function isTracingEnabled(): boolean {
+  return initialized
+}
+
+export function getTaskSessionId(
+  task: Task,
+  _config: BenchmarkConfig,
+  runId: string,
+): string {
+  // sessionId groups all spans for one task; runId-prefixed so re-runs don't collide
+  return `${runId}-${task.queryId}`
+}
+
+export function getAiSdkTelemetry(
+  task: Task,
+  config: BenchmarkConfig,
+  runId: string,
+  conversationId: string,
+): TelemetrySettings | undefined {
+  if (!initialized) {
+    return undefined
+  }
+
+  return {
+    isEnabled: true,
+    functionId: 'browseros.eval2.agent',
+    metadata: {
+      sessionId: getTaskSessionId(task, config, runId),
+      runId,
+      taskId: task.queryId,
+      dataset: task.dataset,
+      model: config.model,
+      conversationId,
+    },
+  }
+}
+
+export async function logScreenshot(
+  toolName: string,
+  pngBytes: Buffer,
+  pageUrl: string | undefined,
+): Promise<void> {
+  if (!initialized) {
+    return
+  }
+  // wrap PNG so Langfuse uploads it via presigned URL and renders it inline in the trace UI
+  const media = new LangfuseMedia({
+    source: 'bytes',
+    contentBytes: pngBytes,
+    contentType: 'image/png',
+  })
+  await startActiveObservation(`screenshot.${toolName}`, async (span) => {
+    span.update({
+      output: media,
+      metadata: {
+        toolName,
+        pageUrl,
+        bytes: pngBytes.length,
+      },
+    })
+  })
+}
+
+export async function flushTracing(): Promise<void> {
+  if (!initialized) {
+    return
+  }
+  // forceFlush drains pending spans; shutdown also waits for pending media uploads
+  try {
+    await processor?.forceFlush()
+    await sdk?.shutdown()
+  } catch (error) {
+    console.warn(
+      `Langfuse flush failed: ${
+        error instanceof Error ? error.message : String(error)
+      }`,
+    )
+  } finally {
+    initialized = false
+    processor = null
+    sdk = null
+  }
+}

packages/browseros-agent/apps/eval2/src/types.ts

@@ -0,0 +1,112 @@
+import { z } from 'zod'
+
+export const RawTaskSchema = z.object({
+  query_id: z.string(),
+  query: z.string(),
+  dataset: z.string(),
+  start_url: z.string().optional(),
+})
+
+export const TaskSchema = z.object({
+  queryId: z.string(),
+  query: z.string(),
+  dataset: z.string(),
+  startUrl: z.string().optional(),
+})
+
+export type RawTask = z.infer<typeof RawTaskSchema>
+export type Task = z.infer<typeof TaskSchema>
+
+export interface UserMessage {
+  type: 'user'
+  content: string
+}
+
+export interface ToolInputMessage {
+  type: 'tool-input-available'
+  toolCallId: string
+  toolName: string
+  input: unknown
+}
+
+export interface ToolOutputMessage {
+  type: 'tool-output-available'
+  toolCallId: string
+  output: unknown
+}
+
+export interface TextMessage {
+  type: 'text'
+  text: string
+}
+
+export type Message =
+  | UserMessage
+  | ToolInputMessage
+  | ToolOutputMessage
+  | TextMessage
+
+export interface AgentResult {
+  finalAnswer: string | null
+  messages: Message[]
+  terminationReason: 'done' | 'timeout' | 'error'
+  toolCallCount: number
+}
+
+export interface GraderResult {
+  score: number
+  pass: boolean
+  reasoning: string
+  details?: Record<string, unknown>
+}
+
+export interface GraderInputTask {
+  query_id: string
+  query: string
+  dataset: string
+}
+
+export interface GraderInput {
+  task: GraderInputTask
+  messages: Message[]
+  screenshotCount: number
+  finalAnswer: string | null
+  expectedAnswer?: string | null
+  outputDir: string
+  mcpUrl?: string
+}
+
+export interface Grader {
+  name: string
+  grade(input: GraderInput): Promise<GraderResult>
+}
+
+export interface TaskResult {
+  task: Task
+  agentResult: AgentResult
+  graderResult: GraderResult
+  durationMs: number
+  status: 'PASS' | 'FAIL'
+}
+
+export interface RunSummaryTask {
+  queryId: string
+  status: 'PASS' | 'FAIL'
+  durationMs: number
+  graderReward: number
+  langfuseSessionId: string | null
+}
+
+export interface RunSummary {
+  runId: string
+  configName: string
+  model: string
+  startedAt: string
+  completedAt: string
+  total: number
+  passed: number
+  failed: number
+  passRate: number
+  avgDurationMs: number
+  tasks: RunSummaryTask[]
+}

packages/browseros-agent/apps/eval2/src/utils/mcp-client.ts

@@ -0,0 +1,160 @@
+/**
+ * MCP Client utilities for eval infrastructure.
+ *
+ * - callMcpTool: One-shot function (creates and tears down connection per call)
+ * - McpClient: Persistent connection for repeated calls (CladoActionExecutor)
+ */
+
+import { Client } from '@modelcontextprotocol/sdk/client/index.js'
+import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js'
+
+const MCP_TOOL_TIMEOUT_MS = 65_000
+
+export interface McpToolResult {
+  content: Array<{
+    type: string
+    text?: string
+    data?: string
+    mimeType?: string
+  }>
+  isError?: boolean
+  structuredContent?: Record<string, unknown>
+}
+
+/**
+ * One-shot MCP tool call. Creates a connection, calls the tool, and tears down.
+ * Use for infrequent calls (screenshot capture, page resolution, navigation).
+ */
+export async function callMcpTool(
+  serverUrl: string,
+  name: string,
+  args: Record<string, unknown> = {},
+): Promise<McpToolResult> {
+  const client = new Client({
+    name: 'browseros-eval',
+    version: '1.0.0',
+  })
+
+  const transport = new StreamableHTTPClientTransport(new URL(serverUrl), {
+    requestInit: {
+      headers: { 'X-BrowserOS-Source': 'sdk-internal' },
+    },
+  })
+
+  try {
+    await client.connect(transport)
+
+    const toolCallPromise = client.callTool({
+      name,
+      arguments: args,
+    })
+
+    let timeoutId: ReturnType<typeof setTimeout> | null = null
+    const timeoutPromise = new Promise<never>((_, reject) => {
+      timeoutId = setTimeout(
+        () =>
+          reject(
+            new Error(`MCP tool call timed out after ${MCP_TOOL_TIMEOUT_MS}ms`),
+          ),
+        MCP_TOOL_TIMEOUT_MS,
+      )
+    })
+
+    try {
+      return (await Promise.race([
+        toolCallPromise,
+        timeoutPromise,
+      ])) as McpToolResult
+    } finally {
+      if (timeoutId) clearTimeout(timeoutId)
+    }
+  } finally {
+    try {
+      await transport.close()
+    } catch {
+      // Ignore close errors
+    }
+  }
+}
+
+/**
+ * Persistent MCP client for repeated tool calls.
+ * Lazily connects on first call, reuses connection across calls.
+ * Must call close() when done (e.g. in executor cleanup).
+ */
+export class McpClient {
+  private client!: Client
+  private transport!: StreamableHTTPClientTransport
+  private connected = false
+  private readonly serverUrl: string
+
+  constructor(serverUrl: string) {
+    this.serverUrl = serverUrl
+    this.createClientAndTransport()
+  }
+
+  private createClientAndTransport(): void {
+    this.client = new Client({ name: 'browseros-eval', version: '1.0.0' })
+    this.transport = new StreamableHTTPClientTransport(
+      new URL(this.serverUrl),
+      {
+        requestInit: {
+          headers: { 'X-BrowserOS-Source': 'sdk-internal' },
+        },
+      },
+    )
+  }
+
+  async callTool(
+    name: string,
+    args: Record<string, unknown> = {},
+  ): Promise<McpToolResult> {
+    if (!this.connected) {
+      await this.client.connect(this.transport)
+      this.connected = true
+    }
+
+    const toolCallPromise = this.client.callTool({
+      name,
+      arguments: args,
+    })
+
+    let timeoutId: ReturnType<typeof setTimeout> | null = null
+    const timeoutPromise = new Promise<never>((_, reject) => {
+      timeoutId = setTimeout(
+        () =>
+          reject(
+            new Error(`MCP tool call timed out after ${MCP_TOOL_TIMEOUT_MS}ms`),
+          ),
+        MCP_TOOL_TIMEOUT_MS,
+      )
+    })
+
+    try {
+      return (await Promise.race([
+        toolCallPromise,
+        timeoutPromise,
+      ])) as McpToolResult
+    } catch (error) {
+      this.connected = false
+      try {
+        await this.transport.close()
+      } catch {
+        // Ignore close errors
+      }
+      this.createClientAndTransport()
+      throw error
+    } finally {
+      if (timeoutId) clearTimeout(timeoutId)
+    }
+  }
+
+  async close(): Promise<void> {
+    try {
+      await this.transport.close()
+    } catch {
+      // Ignore close errors
+    }
+    this.connected = false
+  }
+}

packages/browseros-agent/apps/eval2/src/utils/sleep.ts

@@ -0,0 +1,20 @@
+/**
+ * Shared sleep utility with optional abort signal support.
+ */
+
+export function sleep(ms: number, signal?: AbortSignal): Promise<void> {
+  if (signal?.aborted) return Promise.reject(new Error('aborted'))
+  return new Promise((resolve, reject) => {
+    const handle = setTimeout(() => {
+      signal?.removeEventListener('abort', onAbort)
+      resolve()
+    }, ms)
+
+    const onAbort = () => {
+      clearTimeout(handle)
+      reject(new Error('aborted'))
+    }
+
+    signal?.addEventListener('abort', onAbort, { once: true })
+  })
+}

packages/browseros-agent/apps/eval2/tsconfig.json

@@ -0,0 +1,18 @@
+{
+  "compilerOptions": {
+    "target": "ESNext",
+    "module": "ESNext",
+    "moduleResolution": "bundler",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "declaration": true,
+    "paths": {
+      "@eval2/*": ["./src/*"]
+    }
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

packages/browseros-agent/apps/server/src/agent/ai-sdk-agent.ts

@@ -11,6 +11,7 @@ import {
   type LanguageModel,
   type ModelMessage,
   stepCountIs,
+  type TelemetrySettings,
   ToolLoopAgent,
   type ToolSet,
   type UIMessage,
@@ -50,6 +51,7 @@ export interface AiSdkAgentConfig {
   klavisRef?: KlavisProxyRef
   browserosId?: string
   aiSdkDevtoolsEnabled?: boolean
+  aiSdkTelemetry?: TelemetrySettings
   aclRules?: AclRule[]
 }
 
@@ -267,6 +269,7 @@ export class AiSdkAgent {
       tools,
       stopWhen: [stepCountIs(AGENT_LIMITS.MAX_TURNS)],
       prepareStep,
+      experimental_telemetry: config.aiSdkTelemetry,
       ...(isChatGPTPro && {
         providerOptions: {
           openai: {

packages/browseros-agent/bun.lock

@@ -1,6 +1,6 @@
 {
   "lockfileVersion": 1,
-  "configVersion": 1,
+  "configVersion": 0,
   "workspaces": {
     "": {
       "name": "browseros-monorepo",
@@ -154,6 +154,25 @@
         "typescript": "^5.0.0",
       },
     },
+    "apps/eval2": {
+      "name": "@browseros/eval2",
+      "version": "0.1.0",
+      "dependencies": {
+        "@browseros/server": "workspace:*",
+        "@browseros/shared": "workspace:*",
+        "@langfuse/core": "^4.0.0",
+        "@langfuse/otel": "^4.0.0",
+        "@langfuse/tracing": "^4.0.0",
+        "@modelcontextprotocol/sdk": "^1.27.1",
+        "@opentelemetry/sdk-node": "^0.205.0",
+        "ai": "^6.0.94",
+        "zod": "^3.22.4",
+      },
+      "devDependencies": {
+        "@types/bun": "latest",
+        "typescript": "^5.0.0",
+      },
+    },
     "apps/server": {
       "name": "@browseros/server",
       "version": "0.0.92",
@@ -483,6 +502,8 @@
 
     "@browseros/eval": ["@browseros/eval@workspace:apps/eval"],
 
+    "@browseros/eval2": ["@browseros/eval2@workspace:apps/eval2"],
+
     "@browseros/server": ["@browseros/server@workspace:apps/server"],
 
     "@browseros/shared": ["@browseros/shared@workspace:packages/shared"],
@@ -985,6 +1006,12 @@
 
     "@kwsites/promise-deferred": ["@kwsites/promise-deferred@1.1.1", "", {}, "sha512-GaHYm+c0O9MjZRu0ongGBRbinu8gVAMd2UZjji6jVmqKtZluZnptXGWhz1E8j8D2HJ3f/yMxKAUC0b+57wncIw=="],
 
+    "@langfuse/core": ["@langfuse/core@4.6.1", "", { "peerDependencies": { "@opentelemetry/api": "^1.9.0" } }, "sha512-DtQoKWHQh0I0MsJxcKrBQVKAJ3fea6+raXlISVY3NDMFG/zSKkdkNouQvUXQtSCHBbOFupHMBw8imM30lbhq3g=="],
+
+    "@langfuse/otel": ["@langfuse/otel@4.6.1", "", { "dependencies": { "@langfuse/core": "^4.6.1" }, "peerDependencies": { "@opentelemetry/api": "^1.9.0", "@opentelemetry/core": "^2.0.1", "@opentelemetry/exporter-trace-otlp-http": ">=0.202.0 <1.0.0", "@opentelemetry/sdk-trace-base": "^2.0.1" } }, "sha512-ZUa+nV5und6IYK2b5w1vXoNzU/Hfpl1MJ2uu9Woyb74ZBQi36nBwo7SeX+NLvy+n/UzKcJMetOYrA5ywlXvnuA=="],
+
+    "@langfuse/tracing": ["@langfuse/tracing@4.6.1", "", { "dependencies": { "@langfuse/core": "^4.6.1" }, "peerDependencies": { "@opentelemetry/api": "^1.9.0" } }, "sha512-Ld1bPU6RxzifgGEDtN70Og8u2eL906jtnnEnt62BEOcML8UUiMgzwAKZDBbIjF2midnfac7Xnho3s546fcCDtQ=="],
+
     "@lexical/clipboard": ["@lexical/clipboard@0.35.0", "", { "dependencies": { "@lexical/html": "0.35.0", "@lexical/list": "0.35.0", "@lexical/selection": "0.35.0", "@lexical/utils": "0.35.0", "lexical": "0.35.0" } }, "sha512-ko7xSIIiayvDiqjNDX6fgH9RlcM6r9vrrvJYTcfGVBor5httx16lhIi0QJZ4+RNPvGtTjyFv4bwRmsixRRwImg=="],
 
     "@lexical/code": ["@lexical/code@0.35.0", "", { "dependencies": { "@lexical/utils": "0.35.0", "lexical": "0.35.0", "prismjs": "^1.30.0" } }, "sha512-ox4DZwETQ9IA7+DS6PN8RJNwSAF7RMjL7YTVODIqFZ5tUFIf+5xoCHbz7Fll0Bvixlp12hVH90xnLwTLRGpkKw=="],
@@ -1125,33 +1152,33 @@
 
     "@opentelemetry/api-logs": ["@opentelemetry/api-logs@0.208.0", "", { "dependencies": { "@opentelemetry/api": "^1.3.0" } }, "sha512-CjruKY9V6NMssL/T1kAFgzosF1v9o6oeN+aX5JB/C/xPNtmgIJqcXHG7fA82Ou1zCpWGl4lROQUKwUNE1pMCyg=="],
 
-    "@opentelemetry/context-async-hooks": ["@opentelemetry/context-async-hooks@2.4.0", "", { "peerDependencies": { "@opentelemetry/api": ">=1.0.0 <1.10.0" } }, "sha512-jn0phJ+hU7ZuvaoZE/8/Euw3gvHJrn2yi+kXrymwObEPVPjtwCmkvXDRQCWli+fCTTF/aSOtXaLr7CLIvv3LQg=="],
+    "@opentelemetry/context-async-hooks": ["@opentelemetry/context-async-hooks@2.1.0", "", { "peerDependencies": { "@opentelemetry/api": ">=1.0.0 <1.10.0" } }, "sha512-zOyetmZppnwTyPrt4S7jMfXiSX9yyfF0hxlA8B5oo2TtKl+/RGCy7fi4DrBfIf3lCPrkKsRBWZZD7RFojK7FDg=="],
 
-    "@opentelemetry/core": ["@opentelemetry/core@2.2.0", "", { "dependencies": { "@opentelemetry/semantic-conventions": "^1.29.0" }, "peerDependencies": { "@opentelemetry/api": ">=1.0.0 <1.10.0" } }, "sha512-FuabnnUm8LflnieVxs6eP7Z383hgQU4W1e3KJS6aOG3RxWxcHyBxH8fDMHNgu/gFx/M2jvTOW/4/PHhLz6bjWw=="],
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