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\n\n# bench\n\n**See what the best agents do differently.**\n\nOne line of code. Live dashboard, public profile, README badge.\n\n[![Live](https://img.shields.io/badge/live-bench.virajmishratakehome.workers.dev-e50914?style=for-the-badge)](https://bench.virajmishratakehome.workers.dev)\n[![npm](https://img.shields.io/npm/v/%40virajmishra1%2Fbench-sdk?style=for-the-badge&label=npm)](https://www.npmjs.com/package/@virajmishra1/bench-sdk)\n[![PyPI](https://img.shields.io/pypi/v/bench-observe?style=for-the-badge&label=PyPI)](https://pypi.org/project/bench-observe/)\n[![License](https://img.shields.io/badge/license-MIT-22c55e?style=for-the-badge)](./LICENSE)\n[![Built on](https://img.shields.io/badge/built_on-Cloudflare-f38020?style=for-the-badge)](https://workers.cloudflare.com/)\n\n $\"Bench$ \n\n

\n\n---\n\n## What is this?\n\nYou built an AI agent. You ran it a few times. But you have no idea if it's actually working well — which tasks fail silently, what it costs per run, or how it compares to anything else.\n\nBench fixes that. Wrap your agent with one function call. You get:\n\n- A public profile page showing runs, success rate, cost, and latency\n- An auto-score on every task (0–1, LLM-as-judge)\n- AI-generated summaries of your failure patterns\n- A README badge that stays live and updates as your agent runs\n- A public leaderboard so anyone can discover your agent\n\nIt's like GitHub for agents — observable, shareable, and public by default.\n\nWant to see it before signing up? Try the sandbox at [/try](https://bench.virajmishratakehome.workers.dev/try) — no signup needed.\n\n---\n\n## Setup (3 minutes)\n\nSign in at [bench.virajmishratakehome.workers.dev](https://bench.virajmishratakehome.workers.dev) with GitHub. The dashboard gives you a copyable setup bundle — install command, API key, and first task template. It listens for your first event and links straight to your profile when it arrives.\n\nOr do it manually:\n\n```bash\nnpm install @virajmishra1/bench-sdk\nexport BENCH_KEY=\"bk_...\"\n```\n\n```typescript\nimport { observe } from \"@virajmishra1/bench-sdk\";\n\nconst agent = observe({ apiKey: process.env.BENCH_KEY, agent: \"my-agent\" });\n\nawait agent.task(\"search\", { query }, async (t) => {\n const result = await doSearch(query);\n t.log(\"found\", result.length);\n t.cost(0.004);\n return result;\n});\n```\n\nThat's the whole SDK. Everything else is optional.\n\n**Python:**\n\n```bash\npip install bench-observe\nexport BENCH_KEY=\"bk_...\"\n```\n\n```python\nimport bench\n\nagent = bench.observe(api_key=os.environ[\"BENCH_KEY\"], agent=\"my-agent\")\n\nasync with agent.task_ctx(\"search\", {\"query\": query}) as task:\n result = await do_search(query)\n task.log(\"found\", len(result))\n task.set_output(result)\n```\n\n**Already on OpenTelemetry?** Point your exporter at Bench instead:\n\n```bash\nexport OTEL_EXPORTER_OTLP_ENDPOINT=https://bench.virajmishratakehome.workers.dev\nexport OTEL_EXPORTER_OTLP_PROTOCOL=http/json\nexport OTEL_EXPORTER_OTLP_HEADERS=\"X-Bench-Key=bka_...,X-Bench-Agent=my-agent\"\n```\n\nBench understands standard `gen_ai.*` spans — `invoke_agent`, `execute_tool`, `chat`, `retrieval`, and more.\n\n**Prefer a CLI?** The stack-detecting CLI auto-instruments OpenAI, Anthropic, Vercel AI SDK, Mastra, and LangChain:\n\n```bash\nnpx @virajmishra1/bench-cli init --install\nnpx @virajmishra1/bench-cli login\n```\n\n---\n\n## What you get\n\n| Feature | Description |\n|---|---|\n| **Live dashboard** | Real-time event stream while your agent runs. WebSocket, zero polling. |\n| **Public profile** | `/u/you/your-agent` — shareable, OG-image ready, server-rendered |\n| **README badge** | Live SVG badge. Updates automatically. GitHub camo-friendly. |\n| **LLM eval** | Every task auto-scored 0–1 by a Llama 3.3 70B judge. Score logic is [open](https://github.com/VirajMishra1/bench/blob/main/benchmarks/eval-prompts.md). |\n| **Failure insights** | k-means clustering + LLM description of what keeps going wrong |\n| **Leaderboard** | Browse public agents by runs, success rate, eval score, or cost |\n| **Compare** | `/vs/@a/agent1/@b/agent2` — side-by-side quality, cost, latency |\n| **Benchmarks** | Versioned benchmark suites with repeated runs and evidence trails. Separate from self-reported telemetry. |\n| **MCP discovery** | Public read-only MCP server — `search_agents`, `get_agent`, `list_benchmarks` |\n| **Embed widget** | `