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Record, replay, fork, and share agent executions.","maintainers":[{"name":"yashbogam","email":"yashwanthbogam4@gmail.com"}],"readme":"<div align=\"center\">\n\n<img src=\"https://raw.githubusercontent.com/Retraceai-tech/retrace-sdk/main/assets/banner.gif\" alt=\"Retrace\" width=\"480\" />\n\n![TypeScript](https://img.shields.io/badge/TypeScript-3178C6?logo=typescript&logoColor=white)\n\nRecord every LLM call, tool invocation, and error your agent makes. Replay it step-by-step like a video. Fork from any point, change the input, and watch the whole agent re-execute down a new path. Share any run as an interactive, public link.\n\n[Quick Start](#quick-start) · [How It Works](#how-it-works) · [Recipes](#usage-recipes) · [Enforcement](#enforcement-circuit-breakers) · [Docs](https://docs.retraceai.tech)\n\n</div>\n\n---\n\n## Install\n\n```bash\nnpm install retrace-sdk\n```\n\nRequires Node.js 20+. ESM-only. Works in Node and edge runtimes.\n\n---\n\n## Quick Start\n\n```typescript\nimport { configure, trace } from \"retrace-sdk\";\n\nconfigure({ apiKey: \"rt_...\" }); // get a key in the dashboard\n\nconst runAgent = trace(async (prompt: string) => {\n  const plan = await callPlanner(prompt);   // captured automatically\n  const results = await callTools(plan);    // captured automatically\n  return summarize(results);                // captured automatically\n}, { name: \"research-agent\", resumable: true });\n\nawait runAgent(\"What changed in vector databases this year?\");\n```\n\nThat's it. The run appears in the dashboard as an interactive timeline you can scrub, replay, and fork.\n\n---\n\n## How It Works\n\nThe SDK is a thin capture layer. It wraps your function, auto-instruments provider calls, and streams spans to Retrace over a resilient transport — never blocking or crashing your agent.\n\n```mermaid\nflowchart LR\n    subgraph yourproc[\"Your process\"]\n        fn[\"trace(fn)\"] --> cap[\"auto-captured spans<br/>(LLM · tool · error)\"]\n        cap --> buf[\"offline buffer<br/>(bounded, flush on reconnect)\"]\n    end\n\n    buf == \"WebSocket (primary)\" ==> api[\"Retrace\"]\n    buf -. \"HTTP fallback\" .-> api\n    api == \"resume: re-execute from fork point\" ==> fn\n\n    classDef p fill:#0f3d2e,stroke:#10b981,color:#d1fae5;\n    class api p;\n```\n\n- **Capture** — provider calls (OpenAI, Anthropic, Gemini) are intercepted automatically; you can also emit manual spans.\n- **Transport** — spans stream over a **WebSocket**; if it drops, the SDK falls back to **HTTP** and replays a bounded **offline buffer** on reconnect, so nothing is lost.\n- **Resumable** — with `resumable: true`, the SDK listens for a `resume` command and **re-executes your function from a fork point** with modified input, powering cascade replay from the dashboard.\n- **Safe by default** — failures in the SDK never throw into your agent; typed errors surface real problems explicitly.\n\n---\n\n## Auto-Instrumentation\n\nLLM calls from major providers are captured with no extra code — just install the provider SDK alongside `retrace-sdk`:\n\n| Provider | Captured call |\n|---|---|\n| **OpenAI** | `openai.chat.completions.create()` |\n| **Anthropic** | `anthropic.messages.create()` |\n| **Google Gemini** | `ai.models.generateContent()` |\n\nFramework adapters are available for agent frameworks (e.g. LangChain, Vercel AI SDK) — see the [docs](https://docs.retraceai.tech).\n\n---\n\n## Capabilities\n\n| Capability | What it does |\n|---|---|\n| **Record** | One `trace()` wrapper captures the full execution tree. |\n| **Cascade replay** | `resumable: true` lets a dashboard fork re-execute the whole function from any step. |\n| **Enforcement** | Local budget/step/loop ceilings stop a runaway agent *before* the next call. |\n| **Multi-agent** | Tag spans with an agent id/role for topology + inter-agent detectors. |\n| **Golden cassettes** | Record a run as a CI regression fixture and gate on it offline. |\n| **Sampling** | Record a fraction of traffic in production. |\n| **Sessions** | Group multi-turn conversations under one session. |\n\n---\n\n## Usage Recipes\n\n### Configure\n\n```typescript\nimport { configure } from \"retrace-sdk\";\n\nconfigure({\n  apiKey: \"rt_...\",                  // or RETRACE_API_KEY\n  baseUrl: \"https://api.retraceai.tech\",\n  projectId: \"...\",                  // or RETRACE_PROJECT_ID\n});\n```\n\nSet `RETRACE_ENABLED=false` to disable recording without changing code.\n\n### Manual spans\n\n```typescript\nimport { record, SpanType } from \"retrace-sdk\";\n\nconst recorder = record({ name: \"custom-agent\" });\nrecorder.start();\n\nconst span = recorder.startSpan(\"web-search\", SpanType.TOOL_CALL, { query: \"latest news\" });\n// ... do work ...\nrecorder.endSpan(span, { results: [\"...\"] });\n\nrecorder.end(\"Done\");\n```\n\n### Resumable execution (cascade replay)\n\n```typescript\nconst runAgent = trace(async (prompt: string) => {\n  const plan = await planner(prompt);\n  const result = await executor(plan);\n  return summarize(result);\n}, { name: \"my-agent\", resumable: true });\n```\n\nWhen you fork at any span in the dashboard, the SDK re-executes the **entire** function with the modified input — not just one call. Every downstream step that depends on the change diverges.\n\n### Enforcement (circuit breakers)\n\n```typescript\nimport { configure, RetraceEnforcementError } from \"retrace-sdk\";\n\nconfigure({\n  apiKey: \"rt_...\",\n  maxStepsPerRun: 50,\n  maxUsdPerRun: 2.0,\n  serverEnforcement: true, // optional: also consult centrally-managed server policies\n});\n\ntry {\n  await runAgent(\"...\");\n} catch (e) {\n  if (e instanceof RetraceEnforcementError) console.log(e.verdict, e.reason);\n}\n```\n\nLocal ceilings are enforced offline (zero network). Precedence: explicit arg > env var (`RETRACE_MAX_STEPS_PER_RUN`, `RETRACE_MAX_TOKENS_PER_RUN`, `RETRACE_MAX_USD_PER_RUN`, `RETRACE_SERVER_ENFORCEMENT`) > unset. If the server check is unreachable, local limits still apply.\n\n### Multi-agent context\n\n```typescript\nimport { withAgent } from \"retrace-sdk\";\n\nawait withAgent({ id: \"planner\", role: \"planner\" }, async () => {\n  await callPlanner(prompt);\n});\n```\n\nTags spans so the dashboard can draw the agent topology and run inter-agent detectors (ping-pong, reasoning–action mismatch, task derailment).\n\n### Golden cassettes (CI regression gates)\n\n```typescript\nimport { writeGoldenCassette } from \"retrace-sdk\";\n\nwriteGoldenCassette(\"golden.json\", { recorder });\n```\n\nGate on it offline in CI with `retrace ci replay`.\n\n### Sampling\n\n```typescript\nconfigure({ apiKey: \"rt_...\", sampleRate: 0.1 }); // record 10% of traces\n```\n\n### Error handling\n\n```typescript\nimport {\n  RetraceError,\n  RetraceAuthError,\n  RetraceCreditsExhaustedError,\n  RetraceRateLimitError,\n  RetraceEnforcementError,\n} from \"retrace-sdk\";\n```\n\nTyped errors for auth failures, credit exhaustion, rate limiting, and enforcement blocks. Transient transport problems never crash your agent.\n\n---\n\n## Links\n\n- [Documentation](https://docs.retraceai.tech)\n- [GitHub](https://github.com/Retraceai-tech/retrace-sdk)\n- [npm](https://www.npmjs.com/package/retrace-sdk)\n\n## License\n\nMIT\n","readmeFilename":"README.md"}