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Biases towards retrieval from Cloudflare docs over pre-trained knowledge.\n---\n\n# Cloudflare Agents SDK\n\nYour knowledge of the Agents SDK may be outdated. **Prefer retrieval over pre-training** for any Agents SDK task.\n\n## Retrieval Sources\n\nFetch current docs from `https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fagents\u002Ftree\u002Fmain\u002Fdocs` before implementing.\n\n| Topic | Doc | Use for |\n|-------|-----|---------|\n| Getting started | `docs\u002Fgetting-started.md` | First agent, project setup |\n| State | `docs\u002Fstate.md` | `setState`, `validateStateChange`, persistence |\n| Routing | `docs\u002Frouting.md` | URL patterns, `routeAgentRequest`, `basePath` |\n| Callable methods | `docs\u002Fcallable-methods.md` | `@callable`, RPC, streaming, timeouts |\n| Scheduling | `docs\u002Fscheduling.md` | `schedule()`, `scheduleEvery()`, cron |\n| Workflows | `docs\u002Fworkflows.md` | `AgentWorkflow`, durable multi-step tasks |\n| HTTP\u002FWebSockets | `docs\u002Fhttp-websockets.md` | Lifecycle hooks, hibernation |\n| Email | `docs\u002Femail.md` | Email routing, secure reply resolver |\n| MCP client | `docs\u002Fmcp-client.md` | Connecting to MCP servers |\n| MCP server | `docs\u002Fmcp-servers.md` | Building MCP servers with `McpAgent` |\n| Client SDK | `docs\u002Fclient-sdk.md` | `useAgent`, `useAgentChat`, React hooks |\n| Human-in-the-loop | `docs\u002Fhuman-in-the-loop.md` | Approval flows, pausing workflows |\n| Resumable streaming | `docs\u002Fresumable-streaming.md` | Stream recovery on disconnect |\n\nCloudflare docs: https:\u002F\u002Fdevelopers.cloudflare.com\u002Fagents\u002F\n\n## Capabilities\n\nThe Agents SDK provides:\n\n- **Persistent state** - SQLite-backed, auto-synced to clients\n- **Callable RPC** - `@callable()` methods invoked over WebSocket\n- **Scheduling** - One-time, recurring (`scheduleEvery`), and cron tasks\n- **Workflows** - Durable multi-step background processing via `AgentWorkflow`\n- **MCP integration** - Connect to MCP servers or build your own with `McpAgent`\n- **Email handling** - Receive and reply to emails with secure routing\n- **Streaming chat** - `AIChatAgent` with resumable streams\n- **React hooks** - `useAgent`, `useAgentChat` for client apps\n\n## FIRST: Verify Installation\n\n```bash\nnpm ls agents # Should show agents package\n```\n\nIf not installed:\n```bash\nnpm install agents\n```\n\n## Wrangler Configuration\n\n```jsonc\n{\n \"durable_objects\": {\n \"bindings\": [{ \"name\": \"MyAgent\", \"class_name\": \"MyAgent\" }]\n },\n \"migrations\": [{ \"tag\": \"v1\", \"new_sqlite_classes\": [\"MyAgent\"] }]\n}\n```\n\n## Agent Class\n\n```typescript\nimport { Agent, routeAgentRequest, callable } from \"agents\";\n\ntype State = { count: number };\n\nexport class Counter extends Agent\u003CEnv, State> {\n initialState = { count: 0 };\n\n \u002F\u002F Validation hook - runs before state persists (sync, throwing rejects the update)\n validateStateChange(nextState: State, source: Connection | \"server\") {\n if (nextState.count \u003C 0) throw new Error(\"Count cannot be negative\");\n }\n\n \u002F\u002F Notification hook - runs after state persists (async, non-blocking)\n onStateUpdate(state: State, source: Connection | \"server\") {\n console.log(\"State updated:\", state);\n }\n\n @callable()\n increment() {\n this.setState({ count: this.state.count + 1 });\n return this.state.count;\n }\n}\n\nexport default {\n fetch: (req, env) => routeAgentRequest(req, env) ?? 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Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2747,2748,2749,2752,2753],{"name":2716,"slug":2717,"type":15},{"name":2733,"slug":2734,"type":15},{"name":2750,"slug":2751,"type":15},"Documentation","documentation",{"name":2719,"slug":2710,"type":15},{"name":2721,"slug":2722,"type":15},"2026-05-16T06:07:47.821474",{"slug":2756,"name":2756,"fn":2757,"description":2758,"org":2759,"tags":2760,"stars":2637,"repoUrl":2638,"updatedAt":2766},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2761,2762,2763,2764,2765],{"name":2716,"slug":2717,"type":15},{"name":2719,"slug":2710,"type":15},{"name":2721,"slug":2722,"type":15},{"name":2738,"slug":2739,"type":15},{"name":2635,"slug":2636,"type":15},"2026-05-16T06:07:40.583615",{"slug":2768,"name":2768,"fn":2769,"description":2770,"org":2771,"tags":2772,"stars":2637,"repoUrl":2638,"updatedAt":2781},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2773,2776,2777,2780],{"name":2774,"slug":2775,"type":15},"Animation","animation",{"name":2670,"slug":2671,"type":15},{"name":2778,"slug":2779,"type":15},"Creative","creative",{"name":2716,"slug":2717,"type":15},"2026-05-02T05:31:48.48485",{"slug":2783,"name":2783,"fn":2784,"description":2785,"org":2786,"tags":2787,"stars":2637,"repoUrl":2638,"updatedAt":2797},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2788,2789,2790,2793,2796],{"name":2778,"slug":2779,"type":15},{"name":2716,"slug":2717,"type":15},{"name":2791,"slug":2792,"type":15},"Image Generation","image-generation",{"name":2794,"slug":2795,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":2800,"total":2902},[2801,2818,2832,2844,2852,2870,2890],{"slug":2802,"name":2802,"fn":2803,"description":2804,"org":2805,"tags":2806,"stars":28,"repoUrl":29,"updatedAt":2817},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2807,2810,2813,2816],{"name":2808,"slug":2809,"type":15},"Accessibility","accessibility",{"name":2811,"slug":2812,"type":15},"Charts","charts",{"name":2814,"slug":2815,"type":15},"Data Visualization","data-visualization",{"name":2716,"slug":2717,"type":15},"2026-06-30T19:00:57.102",{"slug":2819,"name":2819,"fn":2820,"description":2821,"org":2822,"tags":2823,"stars":28,"repoUrl":29,"updatedAt":2831},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2824,2825,2828],{"name":20,"slug":21,"type":15},{"name":2826,"slug":2827,"type":15},"Browser Automation","browser-automation",{"name":2829,"slug":2830,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":2833,"name":2833,"fn":2834,"description":2835,"org":2836,"tags":2837,"stars":28,"repoUrl":29,"updatedAt":2843},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2838,2839,2842],{"name":2826,"slug":2827,"type":15},{"name":2840,"slug":2841,"type":15},"Local Development","local-development",{"name":2829,"slug":2830,"type":15},"2026-04-06T18:41:17.526867",{"slug":4,"name":4,"fn":5,"description":6,"org":2845,"tags":2846,"stars":28,"repoUrl":29,"updatedAt":30},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2847,2848,2849,2850,2851],{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":26,"slug":27,"type":15},{"name":23,"slug":24,"type":15},{"name":17,"slug":18,"type":15},{"slug":2853,"name":2853,"fn":2854,"description":2855,"org":2856,"tags":2857,"stars":28,"repoUrl":29,"updatedAt":2869},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2858,2859,2862,2865,2866],{"name":2721,"slug":2722,"type":15},{"name":2860,"slug":2861,"type":15},"React","react",{"name":2863,"slug":2864,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":2738,"slug":2739,"type":15},{"name":2867,"slug":2868,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":2871,"name":2871,"fn":2872,"description":2873,"org":2874,"tags":2875,"stars":28,"repoUrl":29,"updatedAt":2889},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2876,2879,2882,2885,2888],{"name":2877,"slug":2878,"type":15},"AI Infrastructure","ai-infrastructure",{"name":2880,"slug":2881,"type":15},"Cost Optimization","cost-optimization",{"name":2883,"slug":2884,"type":15},"LLM","llm",{"name":2886,"slug":2887,"type":15},"Performance","performance",{"name":2867,"slug":2868,"type":15},"2026-04-06T18:40:44.377464",{"slug":2891,"name":2891,"fn":2892,"description":2893,"org":2894,"tags":2895,"stars":28,"repoUrl":29,"updatedAt":2901},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2896,2897,2900],{"name":2880,"slug":2881,"type":15},{"name":2898,"slug":2899,"type":15},"Database","database",{"name":2883,"slug":2884,"type":15},"2026-04-06T18:41:08.513425",600]