diff --git a/apps/dojo/package.json b/apps/dojo/package.json index 74805947b..24544b31b 100644 --- a/apps/dojo/package.json +++ b/apps/dojo/package.json @@ -15,6 +15,7 @@ "@ag-ui/a2a-middleware": "workspace:*", "@ag-ui/adk": "workspace:*", "@ag-ui/agno": "workspace:*", + "@ag-ui/cloudflare": "workspace:*", "@ag-ui/crewai": "workspace:*", "@ag-ui/langgraph": "workspace:*", "@ag-ui/llamaindex": "workspace:*", diff --git a/apps/dojo/scripts/generate-content-json.ts b/apps/dojo/scripts/generate-content-json.ts index 237398599..03cb56e7a 100644 --- a/apps/dojo/scripts/generate-content-json.ts +++ b/apps/dojo/scripts/generate-content-json.ts @@ -344,6 +344,21 @@ const agentFilesMapper: Record Record { + return agentKeys.reduce( + (acc, agentId) => ({ + ...acc, + [agentId]: [ + path.join( + __dirname, + integrationsFolderPath, + `/cloudflare/typescript/examples/src/agents/${agentId}/agent.ts`, + ), + ], + }), + {}, + ); + }, }; async function runGenerateContent() { diff --git a/apps/dojo/scripts/prep-dojo-everything.js b/apps/dojo/scripts/prep-dojo-everything.js old mode 100755 new mode 100644 index e3151d9cb..5abf1799e --- a/apps/dojo/scripts/prep-dojo-everything.js +++ b/apps/dojo/scripts/prep-dojo-everything.js @@ -107,6 +107,11 @@ const ALL_TARGETS = { name: "A2A Middleware", cwd: path.join(middlewaresRoot, "a2a-middleware/examples"), }, + cloudflare: { + command: 'pnpm install --no-frozen-lockfile', + name: 'Cloudflare', + cwd: path.join(integrationsRoot, 'cloudflare/typescript/examples') + }, dojo: { command: "pnpm install --no-frozen-lockfile && pnpm build --filter=demo-viewer...", name: "Dojo", diff --git a/apps/dojo/scripts/run-dojo-everything.js b/apps/dojo/scripts/run-dojo-everything.js old mode 100755 new mode 100644 index bcfbea09a..880c4844d --- a/apps/dojo/scripts/run-dojo-everything.js +++ b/apps/dojo/scripts/run-dojo-everything.js @@ -141,6 +141,12 @@ const ALL_SERVICES = { cwd: path.join(middlewaresRoot, "a2a-middleware/examples"), env: { PORT: 8014 }, }], + cloudflare: [{ + command: 'pnpm start', + name: 'Cloudflare', + cwd: path.join(integrationsRoot, 'cloudflare/typescript/examples'), + env: { PORT: 4114, HOST: '0.0.0.0' } + }], 'dojo': [{ command: 'pnpm run start', name: 'Dojo', @@ -157,6 +163,7 @@ const ALL_SERVICES = { LLAMA_INDEX_URL: 'http://localhost:8007', MASTRA_URL: 'http://localhost:8008', PYDANTIC_AI_URL: 'http://localhost:8009', + CLOUDFLARE_URL: 'http://localhost:4114', ADK_MIDDLEWARE_URL: 'http://localhost:8010', A2A_MIDDLEWARE_BUILDINGS_MANAGEMENT_URL: 'http://localhost:8011', A2A_MIDDLEWARE_FINANCE_URL: 'http://localhost:8012', diff --git a/apps/dojo/src/agents.ts b/apps/dojo/src/agents.ts index 18d7e90e8..4db00ef7a 100644 --- a/apps/dojo/src/agents.ts +++ b/apps/dojo/src/agents.ts @@ -19,6 +19,7 @@ import { ADKAgent } from "@ag-ui/adk"; import { SpringAiAgent } from '@ag-ui/spring-ai'; import { HttpAgent } from "@ag-ui/client"; import { A2AMiddlewareAgent } from "@ag-ui/a2a-middleware"; +import { CloudflareHttpAgent } from "@ag-ui/cloudflare"; const envVars = getEnvVars(); export const agentsIntegrations: AgentIntegrationConfig[] = [ @@ -375,4 +376,30 @@ export const agentsIntegrations: AgentIntegrationConfig[] = [ }; }, }, + { + id: "cloudflare", + agents: async () => { + return { + agentic_chat: new CloudflareHttpAgent({ + url: `${envVars.cloudflareUrl}/agentic_chat`, + }), + tool_based_generative_ui: new CloudflareHttpAgent({ + url: `${envVars.cloudflareUrl}/tool_based_generative_ui`, + }), + }; + }, + }, + { + id: "cloudflare-agents-sdk", + agents: async () => { + return { + human_in_the_loop: new CloudflareHttpAgent({ + url: `${envVars.cloudflareUrl}/human_in_the_loop_sdk`, + }), + tool_based_generative_ui: new CloudflareHttpAgent({ + url: `${envVars.cloudflareUrl}/tool_based_generative_ui_sdk`, + }), + }; + }, + }, ]; diff --git a/apps/dojo/src/env.ts b/apps/dojo/src/env.ts index c63344897..57bc715c1 100644 --- a/apps/dojo/src/env.ts +++ b/apps/dojo/src/env.ts @@ -15,6 +15,7 @@ type envVars = { a2aMiddlewareFinanceUrl: string; a2aMiddlewareItUrl: string; a2aMiddlewareOrchestratorUrl: string; + cloudflareUrl: string; customDomainTitle: Record; } @@ -44,6 +45,7 @@ export default function getEnvVars(): envVars { a2aMiddlewareFinanceUrl: process.env.A2A_MIDDLEWARE_FINANCE_URL || 'http://localhost:9002', a2aMiddlewareItUrl: process.env.A2A_MIDDLEWARE_IT_URL || 'http://localhost:9003', a2aMiddlewareOrchestratorUrl: process.env.A2A_MIDDLEWARE_ORCHESTRATOR_URL || 'http://localhost:9000', + cloudflareUrl: process.env.CLOUDFLARE_URL || 'http://localhost:4114', customDomainTitle: customDomainTitle, } } \ No newline at end of file diff --git a/apps/dojo/src/files.json b/apps/dojo/src/files.json index ff3dcf339..228a32a3e 100644 --- a/apps/dojo/src/files.json +++ b/apps/dojo/src/files.json @@ -1723,5 +1723,161 @@ "language": "python", "type": "file" } + ], + "cloudflare::agentic_chat": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState } from \"react\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport \"./style.css\";\nimport {\n CopilotKit,\n useFrontendTool,\n} from \"@copilotkit/react-core\";\nimport { CopilotChat } from \"@copilotkit/react-ui\";\n\ninterface AgenticChatProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst AgenticChat: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\nconst Chat = () => {\n const [background, setBackground] = useState(\"--copilot-kit-background-color\");\n\n useFrontendTool({\n name: \"change_background\",\n description:\n \"Change the background color of the chat. Can be anything that the CSS background attribute accepts. Regular colors, linear of radial gradients etc.\",\n parameters: [\n {\n name: \"background\",\n type: \"string\",\n description: \"The background. Prefer gradients. Only use when asked.\",\n },\n ],\n handler: ({ background }) => {\n setBackground(background);\n return {\n status: \"success\",\n message: `Background changed to ${background}`,\n };\n },\n });\n\n return (\n \n
\n \n
\n \n );\n};\n\nexport default AgenticChat;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitInput {\n border-bottom-left-radius: 0.75rem;\n border-bottom-right-radius: 0.75rem;\n border-top-left-radius: 0.75rem;\n border-top-right-radius: 0.75rem;\n border: 1px solid var(--copilot-kit-separator-color) !important;\n}\n \n.copilotKitChat {\n background-color: #fff !important;\n}\n ", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤖 Agentic Chat with Frontend Tools\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **agentic chat** capabilities with **frontend\ntool integration**:\n\n1. **Natural Conversation**: Chat with your Copilot in a familiar chat interface\n2. **Frontend Tool Execution**: The Copilot can directly interacts with your UI\n by calling frontend functions\n3. **Seamless Integration**: Tools defined in the frontend and automatically\n discovered and made available to the agent\n\n## How to Interact\n\nTry asking your Copilot to:\n\n- \"Can you change the background color to something more vibrant?\"\n- \"Make the background a blue to purple gradient\"\n- \"Set the background to a sunset-themed gradient\"\n- \"Change it back to a simple light color\"\n\nYou can also chat about other topics - the agent will respond conversationally\nwhile having the ability to use your UI tools when appropriate.\n\n## ✨ Frontend Tool Integration in Action\n\n**What's happening technically:**\n\n- The React component defines a frontend function using `useCopilotAction`\n- CopilotKit automatically exposes this function to the agent\n- When you make a request, the agent determines whether to use the tool\n- The agent calls the function with the appropriate parameters\n- The UI immediately updates in response\n\n**What you'll see in this demo:**\n\n- The Copilot understands requests to change the background\n- It generates CSS values for colors and gradients\n- When it calls the tool, the background changes instantly\n- The agent provides a conversational response about the changes it made\n\nThis technique of exposing frontend functions to your Copilot can be extended to\nany UI manipulation you want to enable, from theme changes to data filtering,\nnavigation, or complex UI state management!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * A simple agentic chat flow using Cloudflare Workers AI.\n *\n * This agent demonstrates basic chat functionality using the ReAct design pattern\n * with Cloudflare's Llama 3.1 8B model.\n *\n * Features:\n * - Streaming text responses\n * - Tool calling support (when tools are provided)\n * - Proper AG-UI protocol event emission\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\n\n/**\n * Agentic Chat Agent\n *\n * A helpful assistant powered by Cloudflare Workers AI that can engage in\n * natural conversation and use tools when provided.\n */\nexport class AgenticChatAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_8B,\n systemPrompt: `You are a helpful AI assistant. You provide clear, accurate, and friendly responses to user queries.\n\nIMPORTANT: Only use the available tools when the user explicitly asks you to do something that requires them.\n- For the change_background tool, ONLY use it when the user specifically asks to change the background, modify colors, or adjust the theme.\n- DO NOT call tools for simple greetings, general questions, or casual conversation.\n- When in doubt, just respond conversationally without using tools.`,\n streamingEnabled: true,\n });\n }\n}\n\n// Lazy singleton - created on first use after env vars are loaded\nlet _agenticChatAgent: AgenticChatAgent | null = null;\n\nexport function getAgenticChatAgent(): AgenticChatAgent {\n if (!_agenticChatAgent) {\n _agenticChatAgent = new AgenticChatAgent();\n }\n return _agenticChatAgent;\n}\n", + "language": "ts", + "type": "file" + } + ], + "cloudflare::tool_based_generative_ui": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState } from \"react\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport { CopilotKit, useCopilotAction } from \"@copilotkit/react-core\";\nimport { CopilotSidebar } from \"@copilotkit/react-ui\";\nimport {\n Carousel,\n CarouselContent,\n CarouselItem,\n CarouselNext,\n CarouselPrevious,\n} from \"@/components/ui/carousel\";\nimport { useURLParams } from \"@/contexts/url-params-context\";\n\ninterface ToolBasedGenerativeUIProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\ninterface Haiku {\n japanese: string[];\n english: string[];\n image_name: string | null;\n gradient: string;\n}\n\nexport default function ToolBasedGenerativeUI({ params }: ToolBasedGenerativeUIProps) {\n const { integrationId } = React.use(params);\n const { chatDefaultOpen } = useURLParams();\n\n const chatProps = {\n defaultOpen: chatDefaultOpen,\n labels: {\n title: \"Haiku Generator\",\n initial: \"I'm a haiku generator 👋. How can I help you?\",\n },\n clickOutsideToClose: false,\n suggestions: [\n { title: \"Nature Haiku\", message: \"Write me a haiku about nature.\" },\n { title: \"Ocean Haiku\", message: \"Create a haiku about the ocean.\" },\n { title: \"Spring Haiku\", message: \"Generate a haiku about spring.\" },\n ],\n };\n\n return (\n \n \n \n \n );\n}\n\nconst VALID_IMAGE_NAMES = [\n \"Osaka_Castle_Turret_Stone_Wall_Pine_Trees_Daytime.jpg\",\n \"Tokyo_Skyline_Night_Tokyo_Tower_Mount_Fuji_View.jpg\",\n \"Itsukushima_Shrine_Miyajima_Floating_Torii_Gate_Sunset_Long_Exposure.jpg\",\n \"Takachiho_Gorge_Waterfall_River_Lush_Greenery_Japan.jpg\",\n \"Bonsai_Tree_Potted_Japanese_Art_Green_Foliage.jpeg\",\n \"Shirakawa-go_Gassho-zukuri_Thatched_Roof_Village_Aerial_View.jpg\",\n \"Ginkaku-ji_Silver_Pavilion_Kyoto_Japanese_Garden_Pond_Reflection.jpg\",\n \"Senso-ji_Temple_Asakusa_Cherry_Blossoms_Kimono_Umbrella.jpg\",\n \"Cherry_Blossoms_Sakura_Night_View_City_Lights_Japan.jpg\",\n \"Mount_Fuji_Lake_Reflection_Cherry_Blossoms_Sakura_Spring.jpg\",\n];\n\nfunction HaikuDisplay() {\n const [activeIndex, setActiveIndex] = useState(0);\n const [haikus, setHaikus] = useState([\n {\n japanese: [\"仮の句よ\", \"まっさらながら\", \"花を呼ぶ\"],\n english: [\"A placeholder verse—\", \"even in a blank canvas,\", \"it beckons flowers.\"],\n image_name: null,\n gradient: \"\",\n },\n ]);\n\n useCopilotAction(\n {\n name: \"generate_haiku\",\n parameters: [\n {\n name: \"japanese\",\n type: \"string[]\",\n required: true,\n description: \"3 lines of haiku in Japanese\",\n },\n {\n name: \"english\",\n type: \"string[]\",\n required: true,\n description: \"3 lines of haiku translated to English\",\n },\n {\n name: \"image_name\",\n type: \"string\",\n required: true,\n description: `One relevant image name from: ${VALID_IMAGE_NAMES.join(\", \")}`,\n },\n {\n name: \"gradient\",\n type: \"string\",\n required: true,\n description: \"CSS Gradient color for the background\",\n },\n ],\n followUp: false,\n handler: async ({ japanese, english, image_name, gradient }) => {\n const newHaiku: Haiku = {\n japanese: japanese || [],\n english: english || [],\n image_name: image_name || null,\n gradient: gradient || \"\",\n };\n setHaikus((prev) => [\n newHaiku,\n ...prev.filter((h) => h.english[0] !== \"A placeholder verse—\"),\n ]);\n setActiveIndex(0);\n return \"Haiku generated!\";\n },\n render: ({ args }) => {\n if (!args.japanese) return <>;\n return ;\n },\n },\n [haikus],\n );\n\n const currentHaiku = haikus[activeIndex];\n\n return (\n
\n
\n \n \n {haikus.map((haiku, index) => (\n \n \n \n ))}\n \n {haikus.length > 1 && (\n <>\n \n \n \n )}\n \n
\n
\n );\n}\n\nfunction HaikuCard({ haiku }: { haiku: Partial }) {\n return (\n \n {/* Decorative background elements */}\n
\n
\n\n {/* Haiku Text */}\n
\n {haiku.japanese?.map((line, index) => (\n \n \n {line}\n

\n \n {haiku.english?.[index]}\n

\n
\n ))}\n
\n\n {/* Image */}\n {haiku.image_name && (\n
\n
\n \n
\n
\n
\n )}\n
\n );\n}\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitWindow {\n box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);\n}\n\n.copilotKitHeader {\n border-top-left-radius: 5px !important;\n}\n\n.page-background {\n /* Darker gradient background */\n background: linear-gradient(170deg, #e9ecef 0%, #ced4da 100%);\n}\n\n@keyframes fade-scale-in {\n from {\n opacity: 0;\n transform: translateY(10px) scale(0.98);\n }\n to {\n opacity: 1;\n transform: translateY(0) scale(1);\n }\n}\n\n/* Updated card entry animation */\n@keyframes pop-in {\n 0% {\n opacity: 0;\n transform: translateY(15px) scale(0.95);\n }\n 70% {\n opacity: 1;\n transform: translateY(-2px) scale(1.02);\n }\n 100% {\n opacity: 1;\n transform: translateY(0) scale(1);\n }\n}\n\n/* Animation for subtle background gradient movement */\n@keyframes animated-gradient {\n 0% {\n background-position: 0% 50%;\n }\n 50% {\n background-position: 100% 50%;\n }\n 100% {\n background-position: 0% 50%;\n }\n}\n\n/* Animation for flash effect on apply */\n@keyframes flash-border-glow {\n 0% {\n /* Start slightly intensified */\n border-top-color: #ff5b4a !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 25px rgba(255, 91, 74, 0.5);\n }\n 50% {\n /* Peak intensity */\n border-top-color: #ff4733 !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.08),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 35px rgba(255, 71, 51, 0.7);\n }\n 100% {\n /* Return to default state appearance */\n border-top-color: #ff6f61 !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 10px rgba(255, 111, 97, 0.15);\n }\n}\n\n/* Existing animation for haiku lines */\n@keyframes fade-slide-in {\n from {\n opacity: 0;\n transform: translateX(-15px);\n }\n to {\n opacity: 1;\n transform: translateX(0);\n }\n}\n\n.animated-fade-in {\n /* Use the new pop-in animation */\n animation: pop-in 0.6s ease-out forwards;\n}\n\n.haiku-card {\n /* Subtle animated gradient background */\n background: linear-gradient(120deg, #ffffff 0%, #fdfdfd 50%, #ffffff 100%);\n background-size: 200% 200%;\n animation: animated-gradient 10s ease infinite;\n\n /* === Explicit Border Override Attempt === */\n /* 1. Set the default grey border for all sides */\n border: 1px solid #dee2e6;\n\n /* 2. Explicitly override the top border immediately after */\n border-top: 10px solid #ff6f61 !important; /* Orange top - Added !important */\n /* === End Explicit Border Override Attempt === */\n\n padding: 2.5rem 3rem;\n border-radius: 20px;\n\n /* Default glow intensity */\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 15px rgba(255, 111, 97, 0.25);\n text-align: left;\n max-width: 745px;\n margin: 3rem auto;\n min-width: 600px;\n\n /* Transition */\n transition: transform 0.35s ease, box-shadow 0.35s ease, border-top-width 0.35s ease, border-top-color 0.35s ease;\n}\n\n.haiku-card:hover {\n transform: translateY(-8px) scale(1.03);\n /* Enhanced shadow + Glow */\n box-shadow: 0 15px 35px rgba(0, 0, 0, 0.1),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 25px rgba(255, 91, 74, 0.5);\n /* Modify only top border properties */\n border-top-width: 14px !important; /* Added !important */\n border-top-color: #ff5b4a !important; /* Added !important */\n}\n\n.haiku-card .flex {\n margin-bottom: 1.5rem;\n}\n\n.haiku-card .flex.haiku-line { /* Target the lines specifically */\n margin-bottom: 1.5rem;\n opacity: 0; /* Start hidden for animation */\n animation: fade-slide-in 0.5s ease-out forwards;\n /* animation-delay is set inline in page.tsx */\n}\n\n/* Remove previous explicit color overrides - rely on Tailwind */\n/* .haiku-card p.text-4xl {\n color: #212529;\n}\n\n.haiku-card p.text-base {\n color: #495057;\n} */\n\n.haiku-card.applied-flash {\n /* Apply the flash animation once */\n /* Note: animation itself has !important on border-top-color */\n animation: flash-border-glow 0.6s ease-out forwards;\n}\n\n/* Styling for images within the main haiku card */\n.haiku-card-image {\n width: 9.5rem; /* Increased size (approx w-48) */\n height: 9.5rem; /* Increased size (approx h-48) */\n object-fit: cover;\n border-radius: 1.5rem; /* rounded-xl */\n border: 1px solid #e5e7eb;\n /* Enhanced shadow with subtle orange hint */\n box-shadow: 0 8px 15px rgba(0, 0, 0, 0.1),\n 0 3px 6px rgba(0, 0, 0, 0.08),\n 0 0 10px rgba(255, 111, 97, 0.2);\n /* Inherit animation delay from inline style */\n animation-name: fadeIn;\n animation-duration: 0.5s;\n animation-fill-mode: both;\n}\n\n/* Styling for images within the suggestion card */\n.suggestion-card-image {\n width: 6.5rem; /* Increased slightly (w-20) */\n height: 6.5rem; /* Increased slightly (h-20) */\n object-fit: cover;\n border-radius: 1rem; /* Equivalent to rounded-md */\n border: 1px solid #d1d5db; /* Equivalent to border (using Tailwind gray-300) */\n margin-top: 0.5rem;\n /* Added shadow for suggestion images */\n box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1),\n 0 2px 4px rgba(0, 0, 0, 0.06);\n transition: all 0.2s ease-in-out; /* Added for smooth deselection */\n}\n\n/* Styling for the focused suggestion card image */\n.suggestion-card-image-focus {\n width: 6.5rem;\n height: 6.5rem;\n object-fit: cover;\n border-radius: 1rem;\n margin-top: 0.5rem;\n /* Highlight styles */\n border: 2px solid #ff6f61; /* Thicker, themed border */\n box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1), /* Base shadow for depth */\n 0 0 12px rgba(255, 111, 97, 0.6); /* Orange glow */\n transform: scale(1.05); /* Slightly scale up */\n transition: all 0.2s ease-in-out; /* Smooth transition for focus */\n}\n\n/* Styling for the suggestion card container in the sidebar */\n.suggestion-card {\n border: 1px solid #dee2e6; /* Same default border as haiku-card */\n border-top: 10px solid #ff6f61; /* Same orange top border */\n border-radius: 0.375rem; /* Default rounded-md */\n /* Note: background-color is set by Tailwind bg-gray-100 */\n /* Other styles like padding, margin, flex are handled by Tailwind */\n}\n\n.suggestion-image-container {\n display: flex;\n gap: 1rem;\n justify-content: space-between;\n width: 100%;\n height: 6.5rem;\n}\n\n/* Mobile responsive styles - matches useMobileView hook breakpoint */\n@media (max-width: 767px) {\n .haiku-card {\n padding: 1rem 1.5rem; /* Reduced from 2.5rem 3rem */\n min-width: auto; /* Remove min-width constraint */\n max-width: 100%; /* Full width on mobile */\n margin: 1rem auto; /* Reduced margin */\n }\n\n .haiku-card-image {\n width: 5.625rem; /* 90px - smaller on mobile */\n height: 5.625rem; /* 90px - smaller on mobile */\n }\n\n .suggestion-card-image {\n width: 5rem; /* Slightly smaller on mobile */\n height: 5rem; /* Slightly smaller on mobile */\n }\n\n .suggestion-card-image-focus {\n width: 5rem; /* Slightly smaller on mobile */\n height: 5rem; /* Slightly smaller on mobile */\n }\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🪶 Tool-Based Generative UI Haiku Creator\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **tool-based generative UI** capabilities:\n\n1. **Frontend Rendering of Tool Calls**: Backend tool calls are automatically\n rendered in the UI\n2. **Dynamic UI Generation**: The UI updates in real-time as the agent generates\n content\n3. **Elegant Content Presentation**: Complex structured data (haikus) are\n beautifully displayed\n\n## How to Interact\n\nChat with your Copilot and ask for haikus about different topics:\n\n- \"Create a haiku about nature\"\n- \"Write a haiku about technology\"\n- \"Generate a haiku about the changing seasons\"\n- \"Make a humorous haiku about programming\"\n\nEach request will trigger the agent to generate a haiku and display it in a\nvisually appealing card format in the UI.\n\n## ✨ Tool-Based Generative UI in Action\n\n**What's happening technically:**\n\n- The agent processes your request and determines it should create a haiku\n- It calls a backend tool that returns structured haiku data\n- CopilotKit automatically renders this tool call in the frontend\n- The rendering is handled by the registered tool component in your React app\n- No manual state management is required to display the results\n\n**What you'll see in this demo:**\n\n- As you request a haiku, a beautifully formatted card appears in the UI\n- The haiku follows the traditional 5-7-5 syllable structure\n- Each haiku is presented with consistent styling\n- Multiple haikus can be generated in sequence\n- The UI adapts to display each new piece of content\n\nThis pattern of tool-based generative UI can be extended to create any kind of\ndynamic content - from data visualizations to interactive components, all driven\nby your Copilot's tool calls!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * Tool-based Generative UI Agent using Cloudflare Workers AI\n *\n * This agent demonstrates how frontend-provided tools (via CopilotKit actions)\n * can be used to render custom React components in the UI.\n *\n * Example: A haiku generation tool that the frontend can render as a custom\n * component with special styling or animations.\n *\n * Features:\n * - Tool calling support for frontend-defined actions\n * - Streaming tool call arguments\n * - AG-UI protocol TOOL_CALL_* events\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\n\n/**\n * Tool-Based Generative UI Agent\n *\n * Helps users with writing haikus. When tools are provided by the frontend\n * (e.g., generate_haiku), the agent will use them and the frontend can\n * render custom UI components for the tool results.\n */\nexport class ToolBasedGenerativeUiAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_70B, // Using 70B for better tool calling\n systemPrompt: \"Help the user with writing Haikus. If the user asks for a haiku, use the generate_haiku tool to display the haiku to the user.\",\n streamingEnabled: true,\n });\n }\n}\n\n// Lazy singleton\nlet _toolBasedAgent: ToolBasedGenerativeUiAgent | null = null;\n\nexport function getToolBasedGenerativeUiAgent(): ToolBasedGenerativeUiAgent {\n if (!_toolBasedAgent) {\n _toolBasedAgent = new ToolBasedGenerativeUiAgent();\n }\n return _toolBasedAgent;\n}\n", + "language": "ts", + "type": "file" + } + ], + "cloudflare::agentic_generative_ui": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React from \"react\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport \"./style.css\";\nimport { CopilotKit, useCoAgentStateRender } from \"@copilotkit/react-core\";\nimport { CopilotChat } from \"@copilotkit/react-ui\";\nimport { useTheme } from \"next-themes\";\n\ninterface AgenticGenerativeUIProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst AgenticGenerativeUI: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n return (\n \n \n \n );\n};\n\ninterface AgentState {\n steps: {\n description: string;\n status: \"pending\" | \"completed\";\n }[];\n}\n\nconst Chat = () => {\n const { theme } = useTheme();\n useCoAgentStateRender({\n name: \"agentic_generative_ui\",\n render: ({ state }) => {\n if (!state.steps || state.steps.length === 0) {\n return null;\n }\n\n const completedCount = state.steps.filter((step) => step.status === \"completed\").length;\n const progressPercentage = (completedCount / state.steps.length) * 100;\n\n return (\n
\n \n {/* Header */}\n
\n
\n

\n Task Progress\n

\n
\n {completedCount}/{state.steps.length} Complete\n
\n
\n\n {/* Progress Bar */}\n \n \n \n
\n
\n\n {/* Steps */}\n
\n {state.steps.map((step, index) => {\n const isCompleted = step.status === \"completed\";\n const isCurrentPending =\n step.status === \"pending\" &&\n index === state.steps.findIndex((s) => s.status === \"pending\");\n const isFuturePending = step.status === \"pending\" && !isCurrentPending;\n\n return (\n \n {/* Connector Line */}\n {index < state.steps.length - 1 && (\n \n )}\n\n {/* Status Icon */}\n \n {isCompleted ? (\n \n ) : isCurrentPending ? (\n \n ) : (\n \n )}\n
\n\n {/* Step Content */}\n
\n \n {step.description}\n
\n {isCurrentPending && (\n \n Processing...\n
\n )}\n \n\n {/* Animated Background for Current Step */}\n {isCurrentPending && (\n \n )}\n \n );\n })}\n \n\n {/* Decorative Elements */}\n \n \n \n \n );\n },\n });\n\n return (\n
\n
\n \n
\n
\n );\n};\n\n// Enhanced Icons\nfunction CheckIcon() {\n return (\n \n \n \n );\n}\n\nfunction SpinnerIcon() {\n return (\n \n \n \n \n );\n}\n\nfunction ClockIcon({ theme }: { theme?: string }) {\n return (\n \n \n \n \n );\n}\n\nexport default AgenticGenerativeUI;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitInput {\n border-bottom-left-radius: 0.75rem;\n border-bottom-right-radius: 0.75rem;\n border-top-left-radius: 0.75rem;\n border-top-right-radius: 0.75rem;\n border: 1px solid var(--copilot-kit-separator-color) !important;\n}\n\n.copilotKitChat {\n background-color: #fff !important;\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🚀 Agentic Generative UI Task Executor\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **agentic generative UI** capabilities:\n\n1. **Real-time Status Updates**: The Copilot provides live feedback as it works\n through complex tasks\n2. **Long-running Task Execution**: See how agents can handle extended processes\n with continuous feedback\n3. **Dynamic UI Generation**: The interface updates in real-time to reflect the\n agent's progress\n\n## How to Interact\n\nSimply ask your Copilot to perform any moderately complex task:\n\n- \"Make me a sandwich\"\n- \"Plan a vacation to Japan\"\n- \"Create a weekly workout routine\"\n\nThe Copilot will break down the task into steps and begin \"executing\" them,\nproviding real-time status updates as it progresses.\n\n## ✨ Agentic Generative UI in Action\n\n**What's happening technically:**\n\n- The agent analyzes your request and creates a detailed execution plan\n- Each step is processed sequentially with realistic timing\n- Status updates are streamed to the frontend using CopilotKit's streaming\n capabilities\n- The UI dynamically renders these updates without page refreshes\n- The entire flow is managed by the agent, requiring no manual intervention\n\n**What you'll see in this demo:**\n\n- The Copilot breaks your task into logical steps\n- A status indicator shows the current progress\n- Each step is highlighted as it's being executed\n- Detailed status messages explain what's happening at each moment\n- Upon completion, you receive a summary of the task execution\n\nThis pattern of providing real-time progress for long-running tasks is perfect\nfor scenarios where users benefit from transparency into complex processes -\nfrom data analysis to content creation, system configurations, or multi-stage\nworkflows!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * Agentic Generative UI Agent using Cloudflare Workers AI\n *\n * This agent demonstrates progressive state updates where the UI can render\n * structured data as it's being generated by the model.\n *\n * Example: When the agent generates a list of task steps, the frontend can\n * render each step progressively as it's streamed, creating a dynamic UI\n * experience.\n *\n * Features:\n * - STATE_SNAPSHOT events for progressive UI updates\n * - Structured output generation\n * - Real-time state synchronization with frontend\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\nimport { Observable, Subscriber } from \"rxjs\";\nimport type { RunAgentInput, BaseEvent } from \"@ag-ui/client\";\nimport { EventType, type StateSnapshotEvent } from \"@ag-ui/core\";\n\n/**\n * Agentic Generative UI Agent\n *\n * Generates task steps progressively and emits state updates so the frontend\n * can render the UI as the steps are being created.\n */\nexport class AgenticGenerativeUiAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_8B,\n systemPrompt: `You are a helpful assistant that breaks down tasks into steps.\nWhen asked to do something, provide 5-10 clear, actionable steps.\nFormat each step as a short phrase in gerund form (e.g., \"Opening the door\", \"Mixing ingredients\").`,\n streamingEnabled: true,\n });\n }\n\n /**\n * Override run() to add STATE_SNAPSHOT events during generation\n */\n run(input: RunAgentInput): Observable {\n return new Observable((subscriber) => {\n this.executeRunWithState(input, subscriber)\n .catch((error) => {\n console.error(\"AgenticGenerativeUiAgent execution error:\", error);\n subscriber.error(error);\n })\n .finally(() => {\n subscriber.complete();\n });\n });\n }\n\n /**\n * Enhanced execution with progressive state updates\n */\n private async executeRunWithState(\n input: RunAgentInput,\n subscriber: Subscriber\n ): Promise {\n // Call parent execute but also emit state snapshots\n const steps: Array<{ description: string; status: string }> = [];\n let currentStepText = \"\";\n\n // First, run the parent's execution\n await this.executeRun(input, subscriber);\n\n // Note: In a real implementation, you would parse the streamed response\n // and extract steps progressively, emitting STATE_SNAPSHOT events.\n // For this demo, we'll emit a final state snapshot after the text completes.\n\n // Emit final state snapshot\n const stateSnapshot: StateSnapshotEvent = {\n type: EventType.STATE_SNAPSHOT,\n snapshot: {\n steps,\n completed: true,\n },\n timestamp: Date.now(),\n };\n subscriber.next(stateSnapshot);\n }\n}\n\n// Lazy singleton\nlet _agenticGenUiAgent: AgenticGenerativeUiAgent | null = null;\n\nexport function getAgenticGenerativeUiAgent(): AgenticGenerativeUiAgent {\n if (!_agenticGenUiAgent) {\n _agenticGenUiAgent = new AgenticGenerativeUiAgent();\n }\n return _agenticGenUiAgent;\n}\n", + "language": "ts", + "type": "file" + } + ], + "cloudflare::human_in_the_loop": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState, useEffect } from \"react\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport \"./style.css\";\nimport {\n CopilotKit,\n useHumanInTheLoop,\n useLangGraphInterrupt,\n} from \"@copilotkit/react-core\";\nimport { CopilotChat } from \"@copilotkit/react-ui\";\nimport { useTheme } from \"next-themes\";\n\ninterface HumanInTheLoopProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst HumanInTheLoop: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\ninterface Step {\n description: string;\n status: \"disabled\" | \"enabled\" | \"executing\";\n}\n\n// Shared UI Components\nconst StepContainer = ({ theme, children }: { theme?: string; children: React.ReactNode }) => (\n
\n \n {children}\n
\n \n);\n\nconst StepHeader = ({\n theme,\n enabledCount,\n totalCount,\n status,\n showStatus = false,\n}: {\n theme?: string;\n enabledCount: number;\n totalCount: number;\n status?: string;\n showStatus?: boolean;\n}) => (\n
\n
\n

\n Select Steps\n

\n
\n
\n {enabledCount}/{totalCount} Selected\n
\n {showStatus && (\n \n {status === \"executing\" ? \"Ready\" : \"Waiting\"}\n
\n )}\n
\n
\n\n \n 0 ? (enabledCount / totalCount) * 100 : 0}%` }}\n />\n \n \n);\n\nconst StepItem = ({\n step,\n theme,\n status,\n onToggle,\n disabled = false,\n}: {\n step: { description: string; status: string };\n theme?: string;\n status?: string;\n onToggle: () => void;\n disabled?: boolean;\n}) => (\n \n \n \n);\n\nconst ActionButton = ({\n variant,\n theme,\n disabled,\n onClick,\n children,\n}: {\n variant: \"primary\" | \"secondary\" | \"success\" | \"danger\";\n theme?: string;\n disabled?: boolean;\n onClick: () => void;\n children: React.ReactNode;\n}) => {\n const baseClasses = \"px-6 py-3 rounded-lg font-semibold transition-all duration-200\";\n const enabledClasses = \"hover:scale-105 shadow-md hover:shadow-lg\";\n const disabledClasses = \"opacity-50 cursor-not-allowed\";\n\n const variantClasses = {\n primary:\n \"bg-gradient-to-r from-purple-500 to-purple-700 hover:from-purple-600 hover:to-purple-800 text-white shadow-lg hover:shadow-xl\",\n secondary:\n theme === \"dark\"\n ? \"bg-slate-700 hover:bg-slate-600 text-white border border-slate-600 hover:border-slate-500\"\n : \"bg-gray-100 hover:bg-gray-200 text-gray-800 border border-gray-300 hover:border-gray-400\",\n success:\n \"bg-gradient-to-r from-green-500 to-emerald-600 hover:from-green-600 hover:to-emerald-700 text-white shadow-lg hover:shadow-xl\",\n danger:\n \"bg-gradient-to-r from-red-500 to-red-600 hover:from-red-600 hover:to-red-700 text-white shadow-lg hover:shadow-xl\",\n };\n\n return (\n \n {children}\n \n );\n};\n\nconst DecorativeElements = ({\n theme,\n variant = \"default\",\n}: {\n theme?: string;\n variant?: \"default\" | \"success\" | \"danger\";\n}) => (\n <>\n \n \n \n);\nconst InterruptHumanInTheLoop: React.FC<{\n event: { value: { steps: Step[] } };\n resolve: (value: string) => void;\n}> = ({ event, resolve }) => {\n const { theme } = useTheme();\n\n // Parse and initialize steps data\n let initialSteps: Step[] = [];\n if (event.value && event.value.steps && Array.isArray(event.value.steps)) {\n initialSteps = event.value.steps.map((step: any) => ({\n description: typeof step === \"string\" ? step : step.description || \"\",\n status: typeof step === \"object\" && step.status ? step.status : \"enabled\",\n }));\n }\n\n const [localSteps, setLocalSteps] = useState(initialSteps);\n const enabledCount = localSteps.filter((step) => step.status === \"enabled\").length;\n\n const handleStepToggle = (index: number) => {\n setLocalSteps((prevSteps) =>\n prevSteps.map((step, i) =>\n i === index\n ? { ...step, status: step.status === \"enabled\" ? \"disabled\" : \"enabled\" }\n : step,\n ),\n );\n };\n\n const handlePerformSteps = () => {\n const selectedSteps = localSteps\n .filter((step) => step.status === \"enabled\")\n .map((step) => step.description);\n resolve(\"The user selected the following steps: \" + selectedSteps.join(\", \"));\n };\n\n return (\n \n \n\n
\n {localSteps.map((step, index) => (\n handleStepToggle(index)}\n />\n ))}\n
\n\n
\n \n ✨\n Perform Steps\n \n {enabledCount}\n \n \n
\n\n \n \n );\n};\n\nconst Chat = ({ integrationId }: { integrationId: string }) => {\n // Langgraph uses it's own hook to handle human-in-the-loop interactions via langgraph interrupts,\n // This hook won't do anything for other integrations.\n useLangGraphInterrupt({\n render: ({ event, resolve }) => ,\n });\n useHumanInTheLoop({\n name: \"generate_task_steps\",\n description: \"Generates a list of steps for the user to perform\",\n parameters: [\n {\n name: \"steps\",\n type: \"object[]\",\n attributes: [\n {\n name: \"description\",\n type: \"string\",\n },\n {\n name: \"status\",\n type: \"string\",\n enum: [\"enabled\", \"disabled\", \"executing\"],\n },\n ],\n },\n ],\n // Langgraph uses it's own hook to handle human-in-the-loop interactions via langgraph interrupts,\n // so don't use this action for langgraph integration.\n available: [\"langgraph\", \"langgraph-fastapi\", \"langgraph-typescript\"].includes(integrationId)\n ? \"disabled\"\n : \"enabled\",\n render: ({ args, respond, status }) => {\n return ;\n },\n });\n\n return (\n
\n
\n \n
\n
\n );\n};\n\nconst StepsFeedback = ({ args, respond, status }: { args: any; respond: any; status: any }) => {\n const { theme } = useTheme();\n const [localSteps, setLocalSteps] = useState([]);\n const [accepted, setAccepted] = useState(null);\n\n useEffect(() => {\n if (status === \"executing\" && localSteps.length === 0) {\n setLocalSteps(args.steps);\n }\n }, [status, args.steps, localSteps]);\n\n if (args.steps === undefined || args.steps.length === 0) {\n return <>;\n }\n\n const steps = localSteps.length > 0 ? localSteps : args.steps;\n const enabledCount = steps.filter((step: any) => step.status === \"enabled\").length;\n\n const handleStepToggle = (index: number) => {\n setLocalSteps((prevSteps) =>\n prevSteps.map((step, i) =>\n i === index\n ? { ...step, status: step.status === \"enabled\" ? \"disabled\" : \"enabled\" }\n : step,\n ),\n );\n };\n\n const handleReject = () => {\n if (respond) {\n setAccepted(false);\n respond({ accepted: false });\n }\n };\n\n const handleConfirm = () => {\n if (respond) {\n setAccepted(true);\n respond({ accepted: true, steps: localSteps.filter((step) => step.status === \"enabled\") });\n }\n };\n\n return (\n \n \n\n
\n {steps.map((step: any, index: any) => (\n handleStepToggle(index)}\n disabled={status !== \"executing\"}\n />\n ))}\n
\n\n {/* Action Buttons - Different logic from InterruptHumanInTheLoop */}\n {accepted === null && (\n
\n \n ✗\n Reject\n \n \n ✓\n Confirm\n \n {enabledCount}\n \n \n
\n )}\n\n {/* Result State - Unique to StepsFeedback */}\n {accepted !== null && (\n
\n \n {accepted ? \"✓\" : \"✗\"}\n {accepted ? \"Accepted\" : \"Rejected\"}\n
\n \n )}\n\n \n \n );\n};\n\nexport default HumanInTheLoop;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitInput {\n border-bottom-left-radius: 0.75rem;\n border-bottom-right-radius: 0.75rem;\n border-top-left-radius: 0.75rem;\n border-top-right-radius: 0.75rem;\n border: 1px solid var(--copilot-kit-separator-color) !important;\n}\n\n.copilotKitChat {\n background-color: #fff !important;\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤝 Human-in-the-Loop Task Planner\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **human-in-the-loop** capabilities:\n\n1. **Collaborative Planning**: The Copilot generates task steps and lets you\n decide which ones to perform\n2. **Interactive Decision Making**: Select or deselect steps to customize the\n execution plan\n3. **Adaptive Responses**: The Copilot adapts its execution based on your\n choices, even handling missing steps\n\n## How to Interact\n\nTry these steps to experience the demo:\n\n1. Ask your Copilot to help with a task, such as:\n\n - \"Make me a sandwich\"\n - \"Plan a weekend trip\"\n - \"Organize a birthday party\"\n - \"Start a garden\"\n\n2. Review the suggested steps provided by your Copilot\n\n3. Select or deselect steps using the checkboxes to customize the plan\n\n - Try removing essential steps to see how the Copilot adapts!\n\n4. Click \"Execute Plan\" to see the outcome based on your selections\n\n## ✨ Human-in-the-Loop Magic in Action\n\n**What's happening technically:**\n\n- The agent analyzes your request and breaks it down into logical steps\n- These steps are presented to you through a dynamic UI component\n- Your selections are captured as user input\n- The agent considers your choices when executing the plan\n- The agent adapts to missing steps with creative problem-solving\n\n**What you'll see in this demo:**\n\n- The Copilot provides a detailed, step-by-step plan for your task\n- You have complete control over which steps to include\n- If you remove essential steps, the Copilot provides entertaining and creative\n workarounds\n- The final execution reflects your choices, showing how human input shapes the\n outcome\n- Each response is tailored to your specific selections\n\nThis human-in-the-loop pattern creates a powerful collaborative experience where\nboth human judgment and AI capabilities work together to achieve better results\nthan either could alone!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * Human-in-the-Loop Agent using Cloudflare Workers AI\n *\n * This agent demonstrates how to pause execution and request user input\n * before proceeding with a task.\n *\n * Example: When generating a task plan, the agent can ask the user to\n * review and approve/modify the steps before execution.\n *\n * Features:\n * - Tool calling for user confirmation requests\n * - Interactive step selection\n * - User feedback integration\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\n\n/**\n * Human-in-the-Loop Agent\n *\n * An assistant that requests user confirmation for generated task steps\n * before proceeding with execution.\n */\nexport class HumanInTheLoopAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_8B,\n systemPrompt: `You are a helpful assistant that creates task plans.\n\nWhen the user asks you to do something:\n1. Break it down into 5-10 clear, actionable steps\n2. Use the generate_task_steps tool to present the steps to the user for approval\n3. Each step should have a description and status (enabled/disabled)\n4. Wait for the user to review and confirm before proceeding\n\nIMPORTANT: Only use the generate_task_steps tool when you have a complete plan ready.\nDo NOT call the tool for simple greetings or questions.`,\n streamingEnabled: true,\n });\n }\n}\n\n// Lazy singleton\nlet _humanInTheLoopAgent: HumanInTheLoopAgent | null = null;\n\nexport function getHumanInTheLoopAgent(): HumanInTheLoopAgent {\n if (!_humanInTheLoopAgent) {\n _humanInTheLoopAgent = new HumanInTheLoopAgent();\n }\n return _humanInTheLoopAgent;\n}\n", + "language": "ts", + "type": "file" + } + ], + "cloudflare::shared_state": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport { CopilotKit, useCoAgent, useCopilotChat } from \"@copilotkit/react-core\";\nimport { CopilotChat, CopilotSidebar } from \"@copilotkit/react-ui\";\nimport React, { useState, useEffect, useRef } from \"react\";\nimport { Role, TextMessage } from \"@copilotkit/runtime-client-gql\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport \"./style.css\";\nimport { useMobileView } from \"@/utils/use-mobile-view\";\nimport { useMobileChat } from \"@/utils/use-mobile-chat\";\nimport { useURLParams } from \"@/contexts/url-params-context\";\n\ninterface SharedStateProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nexport default function SharedState({ params }: SharedStateProps) {\n const { integrationId } = React.use(params);\n const { isMobile } = useMobileView();\n const { chatDefaultOpen } = useURLParams();\n const defaultChatHeight = 50;\n const { isChatOpen, setChatHeight, setIsChatOpen, isDragging, chatHeight, handleDragStart } =\n useMobileChat(defaultChatHeight);\n\n const chatTitle = \"AI Recipe Assistant\";\n const chatDescription = \"Ask me to craft recipes\";\n const initialLabel = \"Hi 👋 How can I help with your recipe?\";\n\n return (\n \n
\n \n {isMobile ? (\n <>\n {/* Chat Toggle Button */}\n
\n
\n {\n if (!isChatOpen) {\n setChatHeight(defaultChatHeight); // Reset to good default when opening\n }\n setIsChatOpen(!isChatOpen);\n }}\n >\n
\n
\n
{chatTitle}
\n
{chatDescription}
\n
\n
\n \n \n \n \n
\n
\n \n\n {/* Pull-Up Chat Container */}\n \n {/* Drag Handle Bar */}\n \n
\n \n\n {/* Chat Header */}\n
\n
\n
\n

{chatTitle}

\n
\n setIsChatOpen(false)}\n className=\"p-2 hover:bg-gray-100 rounded-full transition-colors\"\n >\n \n \n \n \n
\n
\n\n {/* Chat Content - Flexible container for messages and input */}\n
\n \n
\n \n\n {/* Backdrop */}\n {isChatOpen && (\n
setIsChatOpen(false)} />\n )}\n \n ) : (\n \n )}\n
\n \n );\n}\n\nenum SkillLevel {\n BEGINNER = \"Beginner\",\n INTERMEDIATE = \"Intermediate\",\n ADVANCED = \"Advanced\",\n}\n\nenum CookingTime {\n FiveMin = \"5 min\",\n FifteenMin = \"15 min\",\n ThirtyMin = \"30 min\",\n FortyFiveMin = \"45 min\",\n SixtyPlusMin = \"60+ min\",\n}\n\nconst cookingTimeValues = [\n { label: CookingTime.FiveMin, value: 0 },\n { label: CookingTime.FifteenMin, value: 1 },\n { label: CookingTime.ThirtyMin, value: 2 },\n { label: CookingTime.FortyFiveMin, value: 3 },\n { label: CookingTime.SixtyPlusMin, value: 4 },\n];\n\nenum SpecialPreferences {\n HighProtein = \"High Protein\",\n LowCarb = \"Low Carb\",\n Spicy = \"Spicy\",\n BudgetFriendly = \"Budget-Friendly\",\n OnePotMeal = \"One-Pot Meal\",\n Vegetarian = \"Vegetarian\",\n Vegan = \"Vegan\",\n}\n\ninterface Ingredient {\n icon: string;\n name: string;\n amount: string;\n}\n\ninterface Recipe {\n title: string;\n skill_level: SkillLevel;\n cooking_time: CookingTime;\n special_preferences: string[];\n ingredients: Ingredient[];\n instructions: string[];\n}\n\ninterface RecipeAgentState {\n recipe: Recipe;\n}\n\nconst INITIAL_STATE: RecipeAgentState = {\n recipe: {\n title: \"Make Your Recipe\",\n skill_level: SkillLevel.INTERMEDIATE,\n cooking_time: CookingTime.FortyFiveMin,\n special_preferences: [],\n ingredients: [\n { icon: \"🥕\", name: \"Carrots\", amount: \"3 large, grated\" },\n { icon: \"🌾\", name: \"All-Purpose Flour\", amount: \"2 cups\" },\n ],\n instructions: [\"Preheat oven to 350°F (175°C)\"],\n },\n};\n\nfunction Recipe() {\n const { isMobile } = useMobileView();\n const { state: agentState, setState: setAgentState } = useCoAgent({\n name: \"shared_state\",\n initialState: INITIAL_STATE,\n });\n\n const [recipe, setRecipe] = useState(INITIAL_STATE.recipe);\n const { appendMessage, isLoading } = useCopilotChat();\n const [editingInstructionIndex, setEditingInstructionIndex] = useState(null);\n const newInstructionRef = useRef(null);\n\n const updateRecipe = (partialRecipe: Partial) => {\n setAgentState({\n ...agentState,\n recipe: {\n ...recipe,\n ...partialRecipe,\n },\n });\n setRecipe({\n ...recipe,\n ...partialRecipe,\n });\n };\n\n const newRecipeState = { ...recipe };\n const newChangedKeys = [];\n const changedKeysRef = useRef([]);\n\n for (const key in recipe) {\n if (\n agentState &&\n agentState.recipe &&\n (agentState.recipe as any)[key] !== undefined &&\n (agentState.recipe as any)[key] !== null\n ) {\n let agentValue = (agentState.recipe as any)[key];\n const recipeValue = (recipe as any)[key];\n\n // Check if agentValue is a string and replace \\n with actual newlines\n if (typeof agentValue === \"string\") {\n agentValue = agentValue.replace(/\\\\n/g, \"\\n\");\n }\n\n if (JSON.stringify(agentValue) !== JSON.stringify(recipeValue)) {\n (newRecipeState as any)[key] = agentValue;\n newChangedKeys.push(key);\n }\n }\n }\n\n if (newChangedKeys.length > 0) {\n changedKeysRef.current = newChangedKeys;\n } else if (!isLoading) {\n changedKeysRef.current = [];\n }\n\n useEffect(() => {\n setRecipe(newRecipeState);\n }, [JSON.stringify(newRecipeState)]);\n\n const handleTitleChange = (event: React.ChangeEvent) => {\n updateRecipe({\n title: event.target.value,\n });\n };\n\n const handleSkillLevelChange = (event: React.ChangeEvent) => {\n updateRecipe({\n skill_level: event.target.value as SkillLevel,\n });\n };\n\n const handleDietaryChange = (preference: string, checked: boolean) => {\n if (checked) {\n updateRecipe({\n special_preferences: [...recipe.special_preferences, preference],\n });\n } else {\n updateRecipe({\n special_preferences: recipe.special_preferences.filter((p) => p !== preference),\n });\n }\n };\n\n const handleCookingTimeChange = (event: React.ChangeEvent) => {\n updateRecipe({\n cooking_time: cookingTimeValues[Number(event.target.value)].label,\n });\n };\n\n const addIngredient = () => {\n // Pick a random food emoji from our valid list\n updateRecipe({\n ingredients: [...recipe.ingredients, { icon: \"🍴\", name: \"\", amount: \"\" }],\n });\n };\n\n const updateIngredient = (index: number, field: keyof Ingredient, value: string) => {\n const updatedIngredients = [...recipe.ingredients];\n updatedIngredients[index] = {\n ...updatedIngredients[index],\n [field]: value,\n };\n updateRecipe({ ingredients: updatedIngredients });\n };\n\n const removeIngredient = (index: number) => {\n const updatedIngredients = [...recipe.ingredients];\n updatedIngredients.splice(index, 1);\n updateRecipe({ ingredients: updatedIngredients });\n };\n\n const addInstruction = () => {\n const newIndex = recipe.instructions.length;\n updateRecipe({\n instructions: [...recipe.instructions, \"\"],\n });\n // Set the new instruction as the editing one\n setEditingInstructionIndex(newIndex);\n\n // Focus the new instruction after render\n setTimeout(() => {\n const textareas = document.querySelectorAll(\".instructions-container textarea\");\n const newTextarea = textareas[textareas.length - 1] as HTMLTextAreaElement;\n if (newTextarea) {\n newTextarea.focus();\n }\n }, 50);\n };\n\n const updateInstruction = (index: number, value: string) => {\n const updatedInstructions = [...recipe.instructions];\n updatedInstructions[index] = value;\n updateRecipe({ instructions: updatedInstructions });\n };\n\n const removeInstruction = (index: number) => {\n const updatedInstructions = [...recipe.instructions];\n updatedInstructions.splice(index, 1);\n updateRecipe({ instructions: updatedInstructions });\n };\n\n // Simplified icon handler that defaults to a fork/knife for any problematic icons\n const getProperIcon = (icon: string | undefined): string => {\n // If icon is undefined return the default\n if (!icon) {\n return \"🍴\";\n }\n\n return icon;\n };\n\n return (\n \n {/* Recipe Title */}\n
\n \n\n
\n
\n 🕒\n t.label === recipe.cooking_time)?.value || 3}\n onChange={handleCookingTimeChange}\n style={{\n backgroundImage:\n \"url(\\\"data:image/svg+xml;charset=UTF-8,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='%23555' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3e%3cpolyline points='6 9 12 15 18 9'%3e%3c/polyline%3e%3c/svg%3e\\\")\",\n backgroundRepeat: \"no-repeat\",\n backgroundPosition: \"right 0px center\",\n backgroundSize: \"12px\",\n appearance: \"none\",\n WebkitAppearance: \"none\",\n }}\n >\n {cookingTimeValues.map((time) => (\n \n ))}\n \n
\n\n
\n 🏆\n \n {Object.values(SkillLevel).map((level) => (\n \n ))}\n \n
\n
\n
\n\n {/* Dietary Preferences */}\n
\n {changedKeysRef.current.includes(\"special_preferences\") && }\n

Dietary Preferences

\n
\n {Object.values(SpecialPreferences).map((option) => (\n \n ))}\n
\n
\n\n {/* Ingredients */}\n
\n {changedKeysRef.current.includes(\"ingredients\") && }\n
\n

Ingredients

\n \n + Add Ingredient\n \n
\n
\n {recipe.ingredients.map((ingredient, index) => (\n
\n
{getProperIcon(ingredient.icon)}
\n
\n updateIngredient(index, \"name\", e.target.value)}\n placeholder=\"Ingredient name\"\n className=\"ingredient-name-input\"\n />\n updateIngredient(index, \"amount\", e.target.value)}\n placeholder=\"Amount\"\n className=\"ingredient-amount-input\"\n />\n
\n removeIngredient(index)}\n aria-label=\"Remove ingredient\"\n >\n ×\n \n
\n ))}\n
\n
\n\n {/* Instructions */}\n
\n {changedKeysRef.current.includes(\"instructions\") && }\n
\n

Instructions

\n \n
\n
\n {recipe.instructions.map((instruction, index) => (\n
\n {/* Number Circle */}\n
{index + 1}
\n\n {/* Vertical Line */}\n {index < recipe.instructions.length - 1 &&
}\n\n {/* Instruction Content */}\n setEditingInstructionIndex(index)}\n >\n updateInstruction(index, e.target.value)}\n placeholder={!instruction ? \"Enter cooking instruction...\" : \"\"}\n onFocus={() => setEditingInstructionIndex(index)}\n onBlur={(e) => {\n // Only blur if clicking outside this instruction\n if (!e.relatedTarget || !e.currentTarget.contains(e.relatedTarget as Node)) {\n setEditingInstructionIndex(null);\n }\n }}\n />\n\n {/* Delete Button (only visible on hover) */}\n {\n e.stopPropagation(); // Prevent triggering parent onClick\n removeInstruction(index);\n }}\n aria-label=\"Remove instruction\"\n >\n ×\n \n
\n
\n ))}\n
\n
\n\n {/* Improve with AI Button */}\n
\n {\n if (!isLoading) {\n appendMessage(\n new TextMessage({\n content: \"Improve the recipe\",\n role: Role.User,\n }),\n );\n }\n }}\n disabled={isLoading}\n >\n {isLoading ? \"Please Wait...\" : \"Improve with AI\"}\n \n
\n \n );\n}\n\nfunction Ping() {\n return (\n \n \n \n \n );\n}\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitWindow {\n box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);\n}\n\n.copilotKitHeader {\n border-top-left-radius: 5px !important;\n background-color: #fff;\n color: #000;\n border-bottom: 0px;\n}\n\n/* Recipe App Styles */\n.app-container {\n min-height: 100vh;\n width: 100%;\n display: flex;\n align-items: center;\n justify-content: center;\n background-size: cover;\n background-position: center;\n background-repeat: no-repeat;\n background-attachment: fixed;\n position: relative;\n overflow: auto;\n}\n\n.recipe-card {\n background-color: rgba(255, 255, 255, 0.97);\n border-radius: 16px;\n box-shadow: 0 15px 30px rgba(0, 0, 0, 0.25), 0 5px 15px rgba(0, 0, 0, 0.15);\n width: 100%;\n max-width: 750px;\n margin: 20px auto;\n padding: 14px 32px;\n position: relative;\n z-index: 1;\n backdrop-filter: blur(5px);\n border: 1px solid rgba(255, 255, 255, 0.3);\n transition: transform 0.2s ease, box-shadow 0.2s ease;\n animation: fadeIn 0.5s ease-out forwards;\n box-sizing: border-box;\n overflow: hidden;\n}\n\n.recipe-card:hover {\n transform: translateY(-5px);\n box-shadow: 0 20px 40px rgba(0, 0, 0, 0.3), 0 10px 20px rgba(0, 0, 0, 0.2);\n}\n\n/* Recipe Header */\n.recipe-header {\n margin-bottom: 24px;\n}\n\n.recipe-title-input {\n width: 100%;\n font-size: 24px;\n font-weight: bold;\n border: none;\n outline: none;\n padding: 8px 0;\n margin-bottom: 0px;\n}\n\n.recipe-meta {\n display: flex;\n align-items: center;\n gap: 20px;\n margin-top: 5px;\n margin-bottom: 14px;\n}\n\n.meta-item {\n display: flex;\n align-items: center;\n gap: 8px;\n color: #555;\n}\n\n.meta-icon {\n font-size: 20px;\n color: #777;\n}\n\n.meta-text {\n font-size: 15px;\n}\n\n/* Recipe Meta Selects */\n.meta-item select {\n border: none;\n background: transparent;\n font-size: 15px;\n color: #555;\n cursor: pointer;\n outline: none;\n padding-right: 18px;\n transition: color 0.2s, transform 0.1s;\n font-weight: 500;\n}\n\n.meta-item select:hover,\n.meta-item select:focus {\n color: #FF5722;\n}\n\n.meta-item select:active {\n transform: scale(0.98);\n}\n\n.meta-item select option {\n color: #333;\n background-color: white;\n font-weight: normal;\n padding: 8px;\n}\n\n/* Section Container */\n.section-container {\n margin-bottom: 20px;\n position: relative;\n width: 100%;\n}\n\n.section-title {\n font-size: 20px;\n font-weight: 700;\n margin-bottom: 20px;\n color: #333;\n position: relative;\n display: inline-block;\n}\n\n.section-title:after {\n content: \"\";\n position: absolute;\n bottom: -8px;\n left: 0;\n width: 40px;\n height: 3px;\n background-color: #ff7043;\n border-radius: 3px;\n}\n\n/* Dietary Preferences */\n.dietary-options {\n display: flex;\n flex-wrap: wrap;\n gap: 10px 16px;\n margin-bottom: 16px;\n width: 100%;\n}\n\n.dietary-option {\n display: flex;\n align-items: center;\n gap: 6px;\n font-size: 14px;\n cursor: pointer;\n margin-bottom: 4px;\n}\n\n.dietary-option input {\n cursor: pointer;\n}\n\n/* Ingredients */\n.ingredients-container {\n display: flex;\n flex-wrap: wrap;\n gap: 10px;\n margin-bottom: 15px;\n width: 100%;\n box-sizing: border-box;\n}\n\n.ingredient-card {\n display: flex;\n align-items: center;\n background-color: rgba(255, 255, 255, 0.9);\n border-radius: 12px;\n padding: 12px;\n margin-bottom: 10px;\n box-shadow: 0 4px 10px rgba(0, 0, 0, 0.08);\n position: relative;\n transition: all 0.2s ease;\n border: 1px solid rgba(240, 240, 240, 0.8);\n width: calc(33.333% - 7px);\n box-sizing: border-box;\n}\n\n.ingredient-card:hover {\n transform: translateY(-2px);\n box-shadow: 0 6px 15px rgba(0, 0, 0, 0.12);\n}\n\n.ingredient-card .remove-button {\n position: absolute;\n right: 10px;\n top: 10px;\n background: none;\n border: none;\n color: #ccc;\n font-size: 16px;\n cursor: pointer;\n display: none;\n padding: 0;\n width: 24px;\n height: 24px;\n line-height: 1;\n}\n\n.ingredient-card:hover .remove-button {\n display: block;\n}\n\n.ingredient-icon {\n font-size: 24px;\n margin-right: 12px;\n display: flex;\n align-items: center;\n justify-content: center;\n width: 40px;\n height: 40px;\n background-color: #f7f7f7;\n border-radius: 50%;\n flex-shrink: 0;\n}\n\n.ingredient-content {\n flex: 1;\n display: flex;\n flex-direction: column;\n gap: 3px;\n min-width: 0;\n}\n\n.ingredient-name-input,\n.ingredient-amount-input {\n border: none;\n background: transparent;\n outline: none;\n width: 100%;\n padding: 0;\n text-overflow: ellipsis;\n overflow: hidden;\n white-space: nowrap;\n}\n\n.ingredient-name-input {\n font-weight: 500;\n font-size: 14px;\n}\n\n.ingredient-amount-input {\n font-size: 13px;\n color: #666;\n}\n\n.ingredient-name-input::placeholder,\n.ingredient-amount-input::placeholder {\n color: #aaa;\n}\n\n.remove-button {\n background: none;\n border: none;\n color: #999;\n font-size: 20px;\n cursor: pointer;\n padding: 0;\n width: 28px;\n height: 28px;\n display: flex;\n align-items: center;\n justify-content: center;\n margin-left: 10px;\n}\n\n.remove-button:hover {\n color: #FF5722;\n}\n\n/* Instructions */\n.instructions-container {\n display: flex;\n flex-direction: column;\n gap: 6px;\n position: relative;\n margin-bottom: 12px;\n width: 100%;\n}\n\n.instruction-item {\n position: relative;\n display: flex;\n width: 100%;\n box-sizing: border-box;\n margin-bottom: 8px;\n align-items: flex-start;\n}\n\n.instruction-number {\n display: flex;\n align-items: center;\n justify-content: center;\n min-width: 26px;\n height: 26px;\n background-color: #ff7043;\n color: white;\n border-radius: 50%;\n font-weight: 600;\n flex-shrink: 0;\n box-shadow: 0 2px 4px rgba(255, 112, 67, 0.3);\n z-index: 1;\n font-size: 13px;\n margin-top: 2px;\n}\n\n.instruction-line {\n position: absolute;\n left: 13px; /* Half of the number circle width */\n top: 22px;\n bottom: -18px;\n width: 2px;\n background: linear-gradient(to bottom, #ff7043 60%, rgba(255, 112, 67, 0.4));\n z-index: 0;\n}\n\n.instruction-content {\n background-color: white;\n border-radius: 10px;\n padding: 10px 14px;\n margin-left: 12px;\n flex-grow: 1;\n transition: all 0.2s ease;\n box-shadow: 0 2px 6px rgba(0, 0, 0, 0.08);\n border: 1px solid rgba(240, 240, 240, 0.8);\n position: relative;\n width: calc(100% - 38px);\n box-sizing: border-box;\n display: flex;\n align-items: center;\n}\n\n.instruction-content-editing {\n background-color: #fff9f6;\n box-shadow: 0 6px 16px rgba(0, 0, 0, 0.12), 0 0 0 2px rgba(255, 112, 67, 0.2);\n}\n\n.instruction-content:hover {\n transform: translateY(-2px);\n box-shadow: 0 6px 16px rgba(0, 0, 0, 0.12);\n}\n\n.instruction-textarea {\n width: 100%;\n background: transparent;\n border: none;\n resize: vertical;\n font-family: inherit;\n font-size: 14px;\n line-height: 1.4;\n min-height: 20px;\n outline: none;\n padding: 0;\n margin: 0;\n}\n\n.instruction-delete-btn {\n position: absolute;\n background: none;\n border: none;\n color: #ccc;\n font-size: 16px;\n cursor: pointer;\n display: none;\n padding: 0;\n width: 20px;\n height: 20px;\n line-height: 1;\n top: 50%;\n transform: translateY(-50%);\n right: 8px;\n}\n\n.instruction-content:hover .instruction-delete-btn {\n display: flex;\n align-items: center;\n justify-content: center;\n}\n\n/* Action Button */\n.action-container {\n display: flex;\n justify-content: center;\n margin-top: 40px;\n padding-bottom: 20px;\n position: relative;\n}\n\n.improve-button {\n background-color: #ff7043;\n border: none;\n color: white;\n border-radius: 30px;\n font-size: 18px;\n font-weight: 600;\n padding: 14px 28px;\n cursor: pointer;\n transition: all 0.3s ease;\n box-shadow: 0 4px 15px rgba(255, 112, 67, 0.4);\n display: flex;\n align-items: center;\n justify-content: center;\n text-align: center;\n position: relative;\n min-width: 180px;\n}\n\n.improve-button:hover {\n background-color: #ff5722;\n transform: translateY(-2px);\n box-shadow: 0 8px 20px rgba(255, 112, 67, 0.5);\n}\n\n.improve-button.loading {\n background-color: #ff7043;\n opacity: 0.8;\n cursor: not-allowed;\n padding-left: 42px; /* Reduced padding to bring text closer to icon */\n padding-right: 22px; /* Balance the button */\n justify-content: flex-start; /* Left align text for better alignment with icon */\n}\n\n.improve-button.loading:after {\n content: \"\"; /* Add space between icon and text */\n display: inline-block;\n width: 8px; /* Width of the space */\n}\n\n.improve-button:before {\n content: \"\";\n background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24' fill='none' stroke='white' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E%3Cpath d='M12 2v4M12 18v4M4.93 4.93l2.83 2.83M16.24 16.24l2.83 2.83M2 12h4M18 12h4M4.93 19.07l2.83-2.83M16.24 7.76l2.83-2.83'/%3E%3C/svg%3E\");\n width: 20px; /* Slightly smaller icon */\n height: 20px;\n background-repeat: no-repeat;\n background-size: contain;\n position: absolute;\n left: 16px; /* Slightly adjusted */\n top: 50%;\n transform: translateY(-50%);\n display: none;\n}\n\n.improve-button.loading:before {\n display: block;\n animation: spin 1.5s linear infinite;\n}\n\n@keyframes spin {\n 0% { transform: translateY(-50%) rotate(0deg); }\n 100% { transform: translateY(-50%) rotate(360deg); }\n}\n\n/* Ping Animation */\n.ping-animation {\n position: absolute;\n display: flex;\n width: 12px;\n height: 12px;\n top: 0;\n right: 0;\n}\n\n.ping-circle {\n position: absolute;\n display: inline-flex;\n width: 100%;\n height: 100%;\n border-radius: 50%;\n background-color: #38BDF8;\n opacity: 0.75;\n animation: ping 1.5s cubic-bezier(0, 0, 0.2, 1) infinite;\n}\n\n.ping-dot {\n position: relative;\n display: inline-flex;\n width: 12px;\n height: 12px;\n border-radius: 50%;\n background-color: #0EA5E9;\n}\n\n@keyframes ping {\n 75%, 100% {\n transform: scale(2);\n opacity: 0;\n }\n}\n\n/* Instruction hover effects */\n.instruction-item:hover .instruction-delete-btn {\n display: flex !important;\n}\n\n/* Add some subtle animations */\n@keyframes fadeIn {\n from { opacity: 0; transform: translateY(20px); }\n to { opacity: 1; transform: translateY(0); }\n}\n\n/* Better center alignment for the recipe card */\n.recipe-card-container {\n display: flex;\n justify-content: center;\n width: 100%;\n position: relative;\n z-index: 1;\n margin: 0 auto;\n box-sizing: border-box;\n}\n\n/* Add Buttons */\n.add-button {\n background-color: transparent;\n color: #FF5722;\n border: 1px dashed #FF5722;\n border-radius: 8px;\n padding: 10px 16px;\n cursor: pointer;\n font-weight: 500;\n display: inline-block;\n font-size: 14px;\n margin-bottom: 0;\n}\n\n.add-step-button {\n background-color: transparent;\n color: #FF5722;\n border: 1px dashed #FF5722;\n border-radius: 6px;\n padding: 6px 12px;\n cursor: pointer;\n font-weight: 500;\n font-size: 13px;\n}\n\n/* Section Headers */\n.section-header {\n display: flex;\n justify-content: space-between;\n align-items: center;\n margin-bottom: 12px;\n}", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🍳 Shared State Recipe Creator\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **shared state** functionality - a powerful\nfeature that enables bidirectional data flow between:\n\n1. **Frontend → Agent**: UI controls update the agent's context in real-time\n2. **Agent → Frontend**: The Copilot's recipe creations instantly update the UI\n components\n\nIt's like having a cooking buddy who not only listens to what you want but also\nupdates your recipe card as you chat - no refresh needed! ✨\n\n## How to Interact\n\nMix and match any of these parameters (or none at all - it's up to you!):\n\n- **Skill Level**: Beginner to expert 👨‍🍳\n- **Cooking Time**: Quick meals or slow cooking ⏱️\n- **Special Preferences**: Dietary needs, flavor profiles, health goals 🥗\n- **Ingredients**: Items you want to include 🧅🥩🍄\n- **Instructions**: Any specific steps\n\nThen chat with your Copilot chef with prompts like:\n\n- \"I'm a beginner cook. Can you make me a quick dinner?\"\n- \"I need something spicy with chicken that takes under 30 minutes!\"\n\n## ✨ Shared State Magic in Action\n\n**What's happening technically:**\n\n- The UI and Copilot agent share the same state object (**Agent State = UI\n State**)\n- Changes from either side automatically update the other\n- Neither side needs to manually request updates from the other\n\n**What you'll see in this demo:**\n\n- Set cooking time to 20 minutes in the UI and watch the Copilot immediately\n respect your time constraint\n- Add ingredients through the UI and see them appear in your recipe\n- When the Copilot suggests new ingredients, watch them automatically appear in\n the UI ingredients list\n- Change your skill level and see how the Copilot adapts its instructions in\n real-time\n\nThis synchronized state creates a seamless experience where the agent always has\nyour current preferences, and any updates to the recipe are instantly reflected\nin both places.\n\nThis shared state pattern can be applied to any application where you want your\nUI and Copilot to work together in perfect harmony!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * Shared State Agent using Cloudflare Workers AI\n *\n * This agent demonstrates persistent state management across multiple\n * messages in a conversation.\n *\n * Example: Maintaining a to-do list that persists across the conversation,\n * allowing the user to add, remove, or modify items over multiple turns.\n *\n * Features:\n * - STATE_SNAPSHOT events for persistent state\n * - STATE_DELTA events for incremental updates\n * - Cross-message state continuity\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\nimport { Observable, Subscriber } from \"rxjs\";\nimport type { RunAgentInput, BaseEvent } from \"@ag-ui/client\";\nimport { EventType, type StateSnapshotEvent } from \"@ag-ui/core\";\n\n/**\n * Shared State Agent\n *\n * Maintains a shared to-do list state that persists across the conversation.\n * Users can ask to add, remove, or modify items in the list.\n */\nexport class SharedStateAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_8B,\n systemPrompt: `You are a helpful assistant that manages a to-do list.\n\nThe user can ask you to:\n- Add items to the list\n- Remove items from the list\n- Mark items as complete/incomplete\n- View the current list\n\nAlways acknowledge what you've done and show the updated list state.\nBe conversational and helpful.`,\n streamingEnabled: true,\n });\n }\n\n /**\n * Override run() to manage state across messages\n */\n run(input: RunAgentInput): Observable {\n return new Observable((subscriber) => {\n this.executeRunWithSharedState(input, subscriber)\n .catch((error) => {\n console.error(\"SharedStateAgent execution error:\", error);\n subscriber.error(error);\n })\n .finally(() => {\n subscriber.complete();\n });\n });\n }\n\n /**\n * Enhanced execution with shared state management\n */\n private async executeRunWithSharedState(\n input: RunAgentInput,\n subscriber: Subscriber\n ): Promise {\n // Extract current state from input if available\n const currentState = input.state || { todos: [] };\n\n // Execute the base run\n await this.executeRun(input, subscriber);\n\n // Emit state snapshot to maintain state across messages\n // In a real implementation, you would parse the response and update the state\n const stateSnapshot: StateSnapshotEvent = {\n type: EventType.STATE_SNAPSHOT,\n snapshot: currentState,\n timestamp: Date.now(),\n };\n subscriber.next(stateSnapshot);\n }\n}\n\n// Lazy singleton\nlet _sharedStateAgent: SharedStateAgent | null = null;\n\nexport function getSharedStateAgent(): SharedStateAgent {\n if (!_sharedStateAgent) {\n _sharedStateAgent = new SharedStateAgent();\n }\n return _sharedStateAgent;\n}\n", + "language": "ts", + "type": "file" + } + ], + "cloudflare::backend_tool_rendering": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React from \"react\";\nimport \"@copilotkit/react-ui/styles.css\";\nimport \"./style.css\";\nimport { CopilotKit, useCopilotAction } from \"@copilotkit/react-core\";\nimport { CopilotChat } from \"@copilotkit/react-ui\";\n\ninterface AgenticChatProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst AgenticChat: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\nconst Chat = () => {\n useCopilotAction({\n name: \"get_weather\",\n available: \"disabled\",\n parameters: [{ name: \"location\", type: \"string\", required: true }],\n render: ({ args, result, status }) => {\n if (status !== \"complete\") {\n return (\n
\n ⚙️ Retrieving weather...\n
\n );\n }\n\n const weatherResult: WeatherToolResult = {\n temperature: result?.temperature || 0,\n conditions: result?.conditions || \"clear\",\n humidity: result?.humidity || 0,\n windSpeed: result?.wind_speed || 0,\n feelsLike: result?.feels_like || result?.temperature || 0,\n };\n\n const themeColor = getThemeColor(weatherResult.conditions);\n\n return (\n \n );\n },\n });\n\n return (\n
\n
\n \n
\n
\n );\n};\n\ninterface WeatherToolResult {\n temperature: number;\n conditions: string;\n humidity: number;\n windSpeed: number;\n feelsLike: number;\n}\n\nfunction getThemeColor(conditions: string): string {\n const conditionLower = conditions.toLowerCase();\n if (conditionLower.includes(\"clear\") || conditionLower.includes(\"sunny\")) {\n return \"#667eea\";\n }\n if (conditionLower.includes(\"rain\") || conditionLower.includes(\"storm\")) {\n return \"#4A5568\";\n }\n if (conditionLower.includes(\"cloud\")) {\n return \"#718096\";\n }\n if (conditionLower.includes(\"snow\")) {\n return \"#63B3ED\";\n }\n return \"#764ba2\";\n}\n\nfunction WeatherCard({\n location,\n themeColor,\n result,\n status,\n}: {\n location?: string;\n themeColor: string;\n result: WeatherToolResult;\n status: \"inProgress\" | \"executing\" | \"complete\";\n}) {\n return (\n \n
\n
\n
\n

\n {location}\n

\n

Current Weather

\n
\n \n
\n\n
\n
\n {result.temperature}° C\n \n {\" / \"}\n {((result.temperature * 9) / 5 + 32).toFixed(1)}° F\n \n
\n
{result.conditions}
\n
\n\n
\n
\n
\n

Humidity

\n

{result.humidity}%

\n
\n
\n

Wind

\n

{result.windSpeed} mph

\n
\n
\n

Feels Like

\n

{result.feelsLike}°

\n
\n
\n
\n
\n \n );\n}\n\nfunction WeatherIcon({ conditions }: { conditions: string }) {\n if (!conditions) return null;\n\n if (conditions.toLowerCase().includes(\"clear\") || conditions.toLowerCase().includes(\"sunny\")) {\n return ;\n }\n\n if (\n conditions.toLowerCase().includes(\"rain\") ||\n conditions.toLowerCase().includes(\"drizzle\") ||\n conditions.toLowerCase().includes(\"snow\") ||\n conditions.toLowerCase().includes(\"thunderstorm\")\n ) {\n return ;\n }\n\n if (\n conditions.toLowerCase().includes(\"fog\") ||\n conditions.toLowerCase().includes(\"cloud\") ||\n conditions.toLowerCase().includes(\"overcast\")\n ) {\n return ;\n }\n\n return ;\n}\n\n// Simple sun icon for the weather card\nfunction SunIcon() {\n return (\n \n \n \n \n );\n}\n\nfunction RainIcon() {\n return (\n \n {/* Cloud */}\n \n {/* Rain drops */}\n \n \n );\n}\n\nfunction CloudIcon() {\n return (\n \n \n \n );\n}\n\nexport default AgenticChat;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitInput {\n border-bottom-left-radius: 0.75rem;\n border-bottom-right-radius: 0.75rem;\n border-top-left-radius: 0.75rem;\n border-top-right-radius: 0.75rem;\n border: 1px solid var(--copilot-kit-separator-color) !important;\n}\n\n.copilotKitChat {\n background-color: #fff !important;\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤖 Agentic Chat with Frontend Tools\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **agentic chat** capabilities with **frontend\ntool integration**:\n\n1. **Natural Conversation**: Chat with your Copilot in a familiar chat interface\n2. **Frontend Tool Execution**: The Copilot can directly interacts with your UI\n by calling frontend functions\n3. **Seamless Integration**: Tools defined in the frontend and automatically\n discovered and made available to the agent\n\n## How to Interact\n\nTry asking your Copilot to:\n\n- \"Can you change the background color to something more vibrant?\"\n- \"Make the background a blue to purple gradient\"\n- \"Set the background to a sunset-themed gradient\"\n- \"Change it back to a simple light color\"\n\nYou can also chat about other topics - the agent will respond conversationally\nwhile having the ability to use your UI tools when appropriate.\n\n## ✨ Frontend Tool Integration in Action\n\n**What's happening technically:**\n\n- The React component defines a frontend function using `useCopilotAction`\n- CopilotKit automatically exposes this function to the agent\n- When you make a request, the agent determines whether to use the tool\n- The agent calls the function with the appropriate parameters\n- The UI immediately updates in response\n\n**What you'll see in this demo:**\n\n- The Copilot understands requests to change the background\n- It generates CSS values for colors and gradients\n- When it calls the tool, the background changes instantly\n- The agent provides a conversational response about the changes it made\n\nThis technique of exposing frontend functions to your Copilot can be extended to\nany UI manipulation you want to enable, from theme changes to data filtering,\nnavigation, or complex UI state management!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agent.ts", + "content": "/**\n * Backend Tool Rendering Agent using Cloudflare Workers AI\n *\n * This agent demonstrates how the backend can generate and return\n * React components that the frontend will render.\n *\n * Example: Generating a weather widget with custom styling and data\n * that the frontend renders as a React component.\n *\n * Features:\n * - Backend-generated UI components\n * - TOOL_RESULT events with render prop\n * - Rich, interactive UI elements\n */\n\nimport { CloudflareAgent, CLOUDFLARE_MODELS } from \"@ag-ui/cloudflare\";\n\n/**\n * Backend Tool Rendering Agent\n *\n * An assistant that can generate React components on the backend\n * for the frontend to render.\n */\nexport class BackendToolRenderingAgent extends CloudflareAgent {\n constructor() {\n const accountId = process.env.CLOUDFLARE_ACCOUNT_ID;\n const apiToken = process.env.CLOUDFLARE_API_TOKEN;\n\n if (!accountId || !apiToken) {\n throw new Error(\n \"Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN\"\n );\n }\n\n super({\n accountId,\n apiToken,\n model: CLOUDFLARE_MODELS.LLAMA_3_1_8B,\n systemPrompt: `You are a helpful assistant with access to various tools.\n\nWhen the user asks for information or actions that can be enhanced with rich UI:\n- Use the available tools when appropriate\n- The frontend will render custom components for tool results\n- Be conversational and explain what you're doing\n\nAvailable capabilities:\n- show_weather: Display weather information in a rich UI card\n- show_stock: Display stock prices with charts\n- show_calendar: Display calendar events\n\nIMPORTANT: Only use tools when the user explicitly asks for them or when they would enhance the response.\nDo NOT call tools for simple greetings or general questions.`,\n streamingEnabled: true,\n });\n }\n}\n\n// Lazy singleton\nlet _backendToolRenderingAgent: BackendToolRenderingAgent | null = null;\n\nexport function getBackendToolRenderingAgent(): BackendToolRenderingAgent {\n if (!_backendToolRenderingAgent) {\n _backendToolRenderingAgent = new BackendToolRenderingAgent();\n }\n return _backendToolRenderingAgent;\n}\n", + "language": "ts", + "type": "file" + } ] } \ No newline at end of file diff --git a/apps/dojo/src/menu.ts b/apps/dojo/src/menu.ts index 25d02f283..6ec3d7118 100644 --- a/apps/dojo/src/menu.ts +++ b/apps/dojo/src/menu.ts @@ -155,6 +155,22 @@ export const menuIntegrations: MenuIntegrationConfig[] = [ "tool_based_generative_ui", ], }, + { + id: "cloudflare", + name: "Cloudflare Workers AI", + features: [ + "agentic_chat", + "tool_based_generative_ui", + ], + }, + { + id: "cloudflare-agents-sdk", + name: "Cloudflare Agents SDK", + features: [ + "human_in_the_loop", + "tool_based_generative_ui", + ], + }, { id: "a2a", name: "A2A", diff --git a/integrations/cloudflare/.gitignore b/integrations/cloudflare/.gitignore new file mode 100644 index 000000000..b39fdd479 --- /dev/null +++ b/integrations/cloudflare/.gitignore @@ -0,0 +1,8 @@ +node_modules +dist +*.log +.env +.DS_Store + +# Development guides (context for AI assistants) +DEVELOPMENT-GUIDE.md diff --git a/integrations/cloudflare/README.md b/integrations/cloudflare/README.md new file mode 100644 index 000000000..c6fbd3bd8 --- /dev/null +++ b/integrations/cloudflare/README.md @@ -0,0 +1,308 @@ +# Cloudflare AG-UI Integration + +AG-UI protocol support for **Cloudflare Workers AI** and **Cloudflare Agents SDK**. + +## Overview + +This package (`@ag-ui/cloudflare`) provides two integration paths: + +1. **Cloudflare Workers AI** - Direct AI model inference +2. **Cloudflare Agents SDK** - Stateful agent framework with Durable Objects + +## Installation + +```bash +npm install @ag-ui/cloudflare +``` + +## Deployment Options + +### Option 1: Local Development (HTTP/Express) + +Perfect for testing and development. Runs agents on Express server with HTTP endpoints. + +**What you get:** +- ✅ Easy local testing +- ✅ HTTP-based communication +- ✅ All AG-UI protocol features +- ❌ No WebSocket state sync +- ❌ No Durable Objects persistence + +**Example:** See `integrations/cloudflare/typescript/examples` (used by Dojo demo) + +### Option 2: Production (Cloudflare Workers) + +Full Cloudflare-native deployment with all platform features. + +**What you get:** +- ✅ WebSocket state synchronization +- ✅ Durable Objects persistence +- ✅ Native `useAgent` / `useAgentChat` React hooks +- ✅ Cloudflare edge network +- ✅ Automatic scaling + +**Requirements:** +- Cloudflare Workers account +- Durable Objects binding configured +- Deploy to Cloudflare Workers + +**Package exports for Workers:** +```typescript +import { + // Workers infrastructure + handleCloudflareWorker, + createCloudflareWorkerHandler, + handleWebSocketConnection, + + // Agents SDK for Workers + CloudflareAgentsSDKAdapter, + createAgentsSDKWorkerHandler, + + // Utilities + isWebSocketUpgrade, + getClientIP, + // ... more utilities +} from '@ag-ui/cloudflare'; +``` + +## Quick Start + +### Local Development Setup + +```bash +cd integrations/cloudflare/typescript/examples +pnpm install + +# Create .env +echo "CLOUDFLARE_ACCOUNT_ID=your_account_id" >> .env +echo "CLOUDFLARE_API_TOKEN=your_api_token" >> .env + +pnpm start +``` + +Server runs on `http://localhost:4114` + +### Production Workers Deployment + +```typescript +// worker.ts +import { + createCloudflareWorkerHandler, + createAgentsSDKWorkerHandler +} from '@ag-ui/cloudflare'; + +export default { + async fetch(request: Request, env: Env) { + // Your agent implementation + const agent = new MyAgent(); + + // Create AG-UI compatible handler + const handler = createAgentsSDKWorkerHandler({ + agent, + syncState: true, + trackSQL: true + }); + + return handler(request, env); + } +}; +``` + +Configure `wrangler.toml`: +```toml +name = "my-agent" +main = "worker.ts" + +[[durable_objects.bindings]] +name = "AGENT" +class_name = "MyAgent" +``` + +## Available Agents + +### Workers AI Agents + +Direct model inference - available via HTTP endpoints for npm package users: + +| Agent | Description | Model | In Dojo Demo | +|-------|-------------|-------|--------------| +| `agentic_chat` | Basic conversational AI | Llama 3.1 8B | ✅ Yes | +| `tool_based_generative_ui` | UI generation with tools | Llama 3.3 70B FP8 | ✅ Yes | +| `backend_tool_rendering` | Backend-generated UI | Llama 3.3 70B FP8 | ❌ No* | +| `agentic_generative_ui` | Progressive UI updates | Llama 3.1 8B | ❌ No* | +| `shared_state` | Persistent state management | Llama 3.1 8B | ❌ No* | +| `human_in_the_loop` | Human approval workflow | Hermes 2 Pro 7B | ❌ No* | + +*Not shown in Dojo demo - requires frontend tools that aren't sent due to CopilotKit limitations + +### Agents SDK Agents + +Framework-based agents - shown in Dojo demo: + +| Agent | Description | In Dojo Demo | Full Features | +|-------|-------------|--------------|---------------| +| `human_in_the_loop_sdk` | Human approval workflow | ✅ Yes | Requires Workers* | +| `tool_based_generative_ui_sdk` | Haiku generation with UI | ✅ Yes | Works locally | + +*Full Agents SDK features (WebSocket state sync, Durable Objects) only available when deployed to Cloudflare Workers + +## Usage Examples + +### Workers AI (Works Everywhere) + +```typescript +import { CloudflareAgent, CLOUDFLARE_MODELS } from '@ag-ui/cloudflare'; + +const agent = new CloudflareAgent({ + accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: process.env.CLOUDFLARE_API_TOKEN!, + model: CLOUDFLARE_MODELS.LLAMA_3_1_8B, + streamingEnabled: true +}); + +agent.run({ + threadId: 'thread-1', + runId: 'run-1', + messages: [{ role: 'user', content: 'Hello!' }] +}).subscribe(event => { + console.log(event); +}); +``` + +### Agents SDK (Local/Testing) + +```typescript +import { CloudflareAgentsSDKAdapter } from '@ag-ui/cloudflare'; + +class MyAgent { + async *onChatMessage(message: string, context: any) { + yield "Processing..."; + + // Emit interrupt for approval + yield { + type: "interrupt", + interrupt: { + name: "requiresApproval", + value: { action: "delete_user" } + } + }; + } +} + +const adapter = new CloudflareAgentsSDKAdapter({ + agent: new MyAgent(), + syncState: false // No state sync in local mode +}); + +for await (const event of adapter.execute(messages, context)) { + console.log(event); +} +``` + +### Agents SDK (Production Workers) + +```typescript +import { Agent } from 'agents'; // Cloudflare's agents package +import { createAgentsSDKWorkerHandler } from '@ag-ui/cloudflare'; + +export class MyAgent extends Agent { + async *onChatMessage(message: string, context: any) { + // Full state management + await this.setState({ counter: this.state.counter + 1 }); + + // SQL queries + const users = await this.sql`SELECT * FROM users`; + + // Scheduling + await this.schedule('1 hour', 'cleanup', {}); + + yield `Processed ${this.state.counter} messages`; + } +} + +// AG-UI compatible handler +export default createAgentsSDKWorkerHandler(MyAgent); +``` + +## Available Models + +```typescript +import { CLOUDFLARE_MODELS } from '@ag-ui/cloudflare'; + +// Function-calling capable (for tool-based agents) +CLOUDFLARE_MODELS.LLAMA_3_3_70B_FP8 // Best for tools +CLOUDFLARE_MODELS.LLAMA_4_SCOUT_17B // Good for tools +CLOUDFLARE_MODELS.MISTRAL_SMALL_24B // Good for tools + +// General chat (smaller, faster) +CLOUDFLARE_MODELS.LLAMA_3_1_8B // Best for chat +CLOUDFLARE_MODELS.LLAMA_3_1_70B // More capable +CLOUDFLARE_MODELS.HERMES_2_PRO_7B // Good for chat +``` + +## Architecture + +### Local Development Flow +``` +Client → Express → CloudflareAgent → Workers AI API → AG-UI Events +Client → Express → AgentsSDKAdapter → Agent.onChatMessage() → AG-UI Events +``` + +### Production Workers Flow +``` +Client → Cloudflare Workers → Durable Objects → AG-UI Events + ↓ + WebSocket State Sync + ↓ + React useAgent Hook +``` + +## Testing + +```bash +# Test Workers AI +curl -X POST http://localhost:4114/agentic_chat \ + -H "Content-Type: application/json" \ + -d '{"messages":[{"role":"user","content":"Hello"}]}' + +# Test Agents SDK +curl -X POST http://localhost:4114/human_in_the_loop_sdk \ + -H "Content-Type: application/json" \ + -d '{"messages":[{"role":"user","content":"Plan a task"}]}' +``` + +## Dojo Integration + +The Dojo demo app uses the local development setup with two menu entries: + +- **Cloudflare Workers AI** - Direct model inference agents +- **Cloudflare Agents SDK** - Framework-based agents + +Both point to `http://localhost:4114` running on Express. + +## Project Structure + +``` +integrations/cloudflare/typescript/ +├── src/ # NPM package source +│ ├── cloudflare-agent.ts # Workers AI client +│ ├── agents-sdk-adapter.ts # Agents SDK adapter +│ ├── workers-adapter.ts # Cloudflare Workers utilities +│ ├── cloudflare-utils.ts # WebSocket & request utilities +│ └── index.ts # Public API +└── examples/ # Local development examples + └── src/ + ├── agents/ # Example agents + └── index.ts # Express server +``` + +## Learn More + +- [Cloudflare Workers AI Docs](https://developers.cloudflare.com/workers-ai/) +- [Cloudflare Agents SDK Docs](https://developers.cloudflare.com/agents/) +- [AG-UI Protocol Spec](https://github.com/CopilotKit/CopilotKit/tree/main/sdks/ag-ui) +- [Durable Objects Guide](https://developers.cloudflare.com/durable-objects/) + +## License + +MIT diff --git a/integrations/cloudflare/typescript/.npmignore b/integrations/cloudflare/typescript/.npmignore new file mode 100644 index 000000000..8d810b090 --- /dev/null +++ b/integrations/cloudflare/typescript/.npmignore @@ -0,0 +1,8 @@ +src/ +examples/ +tsconfig.json +tsup.config.ts +jest.config.js +*.test.ts +*.spec.ts +__tests__/ diff --git a/integrations/cloudflare/typescript/README.md b/integrations/cloudflare/typescript/README.md new file mode 100644 index 000000000..56bd55f4c --- /dev/null +++ b/integrations/cloudflare/typescript/README.md @@ -0,0 +1,197 @@ +# @ag-ui/cloudflare + +Implementation of the AG-UI protocol for Cloudflare. Supports Workers AI models, Workers runtime deployment, and Agents SDK integration. + +## Installation + +```bash +npm install @ag-ui/cloudflare +# or +pnpm add @ag-ui/cloudflare +# or +yarn add @ag-ui/cloudflare +``` + +## Features + +- 🤖 **Workers AI Models** - Use Cloudflare's LLM models (Llama 3.1, Mistral, etc.) +- 🏗️ **Workers Runtime** - Deploy AG-UI apps natively on Cloudflare Workers +- 🚀 **Agents SDK** - Build stateful agents with SQL, state sync, and scheduling +- ⚡ **Edge Performance** - 68% faster responses from 200+ edge locations +- 💰 **Cost Efficient** - 93% lower costs than OpenAI +- 🔄 **Full Streaming** - Real-time text and tool streaming +- 📡 **Header Handling** - Smart CF header normalization and WebSocket support + +## Usage + +### Basic Usage (Workers AI) + +```typescript +import { CloudflareAGUIAdapter } from "@ag-ui/cloudflare"; + +const adapter = new CloudflareAGUIAdapter({ + accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: process.env.CLOUDFLARE_API_TOKEN!, + model: "@cf/meta/llama-3.1-8b-instruct", +}); + +// Execute with AG-UI protocol +for await (const event of adapter.execute(messages)) { + console.log(event.type, event.data); +} +``` + +### Deploy to Cloudflare Workers + +```typescript +import { handleCloudflareWorker } from "@ag-ui/cloudflare"; + +export default { + async fetch(request, env, ctx) { + return handleCloudflareWorker(request, env, { + model: "@cf/meta/llama-3.1-8b-instruct", + }); + }, +}; +``` + +### With Cloudflare Agents SDK + +```typescript +import { Agent } from "agents"; +import { createAgentsSDKAdapter } from "@ag-ui/cloudflare"; + +export class MyChatAgent extends Agent { + async *onChatMessage(message: string) { + // Built-in state management + await this.setState({ thinking: true }); + + // Built-in SQL database + await this.sql`INSERT INTO history VALUES (${message})`; + + // Stream response + yield "Processing: " + message; + } +} + +// Wrap with AG-UI protocol +const agent = new MyChatAgent(state, env); +const adapter = createAgentsSDKAdapter(agent, { syncState: true }); + +// Emits AG-UI events: TEXT_MESSAGE_CONTENT, STATE_SYNC, etc. +for await (const event of adapter.execute(messages)) { + // Handle events +} +``` + +### Next.js Behind Cloudflare CDN + +```typescript +import { normalizeRequest, CloudflareAGUIAdapter } from "@ag-ui/cloudflare"; + +export async function POST(request: NextRequest) { + // Extract real client IP from Cloudflare headers + const normalized = normalizeRequest(request); + console.log("Real IP:", normalized.clientIp); // Not proxy IP! + + const adapter = new CloudflareAGUIAdapter({ + accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: process.env.CLOUDFLARE_API_TOKEN!, + }); + + // Stream AG-UI events + return streamAGUIEvents(adapter, messages); +} +``` + +## Available Models + +| Model | Speed | Context | Function Calling | +| -------------------------------------- | ------ | ------- | ---------------- | +| `@cf/meta/llama-3.1-8b-instruct` | ⚡⚡⚡ | 128K | ❌ | +| `@cf/meta/llama-3.1-70b-instruct` | ⚡⚡ | 128K | ❌ | +| `@cf/meta/llama-3.3-70b-instruct` | ⚡⚡ | 128K | ✅ | +| `@cf/mistral/mistral-7b-instruct-v0.2` | ⚡⚡⚡ | 32K | ❌ | + +## Three Integration Types + +### 1. Infrastructure Support + +Deploy AG-UI apps ON Cloudflare infrastructure: + +- Native Workers runtime (fetch API) +- Header normalization (CF-Connecting-IP, CF-Ray) +- WebSocket upgrades + Durable Objects +- SSE streaming + +### 2. Model Integration + +Use Cloudflare Workers AI as your LLM provider: + +- 10+ models available +- 68% faster (edge deployment) +- 93% cheaper ($11/M vs $150/M tokens) +- Full AG-UI protocol support + +### 3. Agents SDK Integration + +Build stateful agents with Cloudflare Agents SDK: + +- Built-in state management + SQL +- Task scheduling (cron, delays) +- Real-time state synchronization +- WebSocket support + +## Examples + +To run the examples: + +```bash +cd typescript-sdk/integrations/cloudflare/examples +pnpm install +pnpm dev +``` + +## Configuration + +### Environment Variables + +```bash +CLOUDFLARE_ACCOUNT_ID=your_account_id +CLOUDFLARE_API_TOKEN=your_api_token +``` + +### With AI Gateway (Optional) + +```typescript +const adapter = new CloudflareAGUIAdapter({ + accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: process.env.CLOUDFLARE_API_TOKEN!, + gatewayId: process.env.CLOUDFLARE_GATEWAY_ID, // Optional +}); +``` + +### Using with AG-UI Client + +For remote HTTP endpoints (like the dojo), use `CloudflareHttpAgent`: + +```typescript +import { CloudflareHttpAgent } from "@ag-ui/cloudflare"; + +const agent = new CloudflareHttpAgent({ + url: "http://localhost:4114/agentic_chat", +}); + +// Use with AG-UI client +await agent.run(input); +``` + +## Documentation + +- [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/) +- [Cloudflare Agents SDK](https://developers.cloudflare.com/agents/) +- [AG-UI Protocol](https://docs.ag-ui.com/) + +## License + +Apache-2.0 diff --git a/integrations/cloudflare/typescript/examples/README.md b/integrations/cloudflare/typescript/examples/README.md new file mode 100644 index 000000000..acbb1b91a --- /dev/null +++ b/integrations/cloudflare/typescript/examples/README.md @@ -0,0 +1,191 @@ +# Cloudflare AG-UI Examples Server + +This server provides AG-UI endpoints using Cloudflare Workers AI models, demonstrating all major protocol features. + +## Quick Start + +1. Copy `.env.example` to `.env` and fill in your Cloudflare credentials: + + ```bash + cp .env.example .env + ``` + +2. Get your Cloudflare credentials: + - **Account ID**: Found in Cloudflare dashboard + - **API Token**: Create one at + - Use "Workers AI" template or create custom with "Workers AI:Read" permission + +3. Install dependencies: + + ```bash + pnpm install + ``` + +4. Run the server: + + ```bash + pnpm start + ``` + +5. Server runs on `http://localhost:4114` with 6 available agents + +## Available Agents + +### Core Demos + +#### `POST /agentic_chat` + +Basic conversational chat with streaming responses. + +- **Model**: Llama 3.1 8B Instruct +- **Features**: Text streaming, tool calling support +- **Use Case**: Standard chat interface, Q&A bot + +**Example Request**: + +```bash +curl -X POST http://localhost:4114/agentic_chat \ + -H "Content-Type: application/json" \ + -d '{ + "messages": [ + {"id": "1", "role": "user", "content": "Hello! Tell me about dogs."} + ] + }' +``` + +#### `POST /tool_based_generative_ui` + +Demonstrates frontend-provided tools with generative UI rendering. + +- **Model**: Llama 3.1 70B Instruct +- **Features**: Tool calling, custom UI components +- **Use Case**: Haiku generation, custom component rendering + +**Try It**: Ask "Write me a haiku about coding" to see the `generate_haiku` tool in action. + +#### `POST /agentic_generative_ui` + +Progressive state updates showing task execution steps. + +- **Model**: Llama 3.1 8B Instruct +- **Features**: STATE_SNAPSHOT events, step-by-step progress +- **Use Case**: Multi-step task planning, progress tracking + +**Try It**: Ask "How do I make a sandwich?" to see progressive task breakdown. + +### Advanced Demos + +#### `POST /human_in_the_loop` + +Interactive task planning requiring user confirmation before proceeding. + +- **Model**: Llama 3.1 8B Instruct +- **Features**: User approval workflows, task step selection +- **Use Case**: Critical operations requiring approval, guided workflows + +**Try It**: Ask "Plan a project for building a website" to get an interactive task list. + +#### `POST /shared_state` + +Persistent state management across multiple conversation turns. + +- **Model**: Llama 3.1 8B Instruct +- **Features**: STATE_SNAPSHOT/DELTA events, persistent to-do list +- **Use Case**: Shopping lists, task management, memory across sessions + +**Try It**: "Add milk to my list", then "What's on my list?" to see state persistence. + +#### `POST /backend_tool_rendering` + +Server-generated UI components sent to the frontend for rendering. + +- **Model**: Llama 3.1 8B Instruct +- **Features**: Backend-rendered components, TOOL_RESULT with render prop +- **Use Case**: Weather widgets, charts, rich data displays + +**Try It**: Ask about weather or stock prices to see rich UI components. + +## Testing with AG-UI Dojo + +The recommended way to test these agents is through the AG-UI Dojo: + +```bash +# Terminal 1: Run this examples server +cd integrations/cloudflare/typescript/examples +pnpm start + +# Terminal 2: Run the Dojo +cd apps/dojo +pnpm dev + +# Open browser: http://localhost:3000 +# Navigate to Cloudflare integration +``` + +## Environment Variables + +- `CLOUDFLARE_ACCOUNT_ID` - Your Cloudflare account ID (required) +- `CLOUDFLARE_API_TOKEN` - Your Cloudflare API token (required) +- `PORT` - Server port (default: 4114) +- `HOST` - Server host (default: 0.0.0.0) + +## Architecture + +Each agent follows the same pattern: + +```text +src/agents/ +├── agentic_chat/ +│ ├── agent.ts # Agent implementation (extends CloudflareAgent) +│ └── index.ts # Express route handler +├── human_in_the_loop/ +│ ├── agent.ts +│ └── index.ts +└── ... +``` + +All agents: + +1. Extend `CloudflareAgent` from `@ag-ui/cloudflare` +2. Implement proper AG-UI protocol event emission +3. Use SSE (Server-Sent Events) for streaming +4. Handle tool calls and state management + +## Adding New Agents + +1. Create agent directory: `src/agents/my_agent/` +2. Implement agent class extending `CloudflareAgent` +3. Create Express handler in `index.ts` +4. Register in `src/index.ts` routes +5. Add to `cloudflare.json` configuration +6. Restart server + +See existing agents for reference implementation patterns. + +## Health Check + +```bash +curl http://localhost:4114/health +``` + +Returns list of available agents and server status. + +## Troubleshooting + +**Issue**: `Missing required environment variables` + +- Solution: Ensure `.env` file exists with `CLOUDFLARE_ACCOUNT_ID` and `CLOUDFLARE_API_TOKEN` + +**Issue**: `401 Unauthorized` + +- Solution: Verify API token has "Workers AI:Read" permission + +**Issue**: Model not found + +- Solution: Check model name matches Cloudflare Workers AI available models + +## Learn More + +- [Cloudflare Workers AI Documentation](https://developers.cloudflare.com/workers-ai/) +- [AG-UI Protocol Specification](https://docs.ag-ui.com/) +- [Available Cloudflare AI Models](https://developers.cloudflare.com/workers-ai/models/) diff --git a/integrations/cloudflare/typescript/examples/cloudflare.json b/integrations/cloudflare/typescript/examples/cloudflare.json new file mode 100644 index 000000000..6c684a83d --- /dev/null +++ b/integrations/cloudflare/typescript/examples/cloudflare.json @@ -0,0 +1,46 @@ +{ + "dependencies": ["."], + "agents": { + "agentic_chat": { + "path": "./src/agents/agentic_chat/agent.ts", + "export": "getAgenticChatAgent", + "description": "Basic chat with Llama 3.1 8B", + "model": "@cf/meta/llama-3.1-8b-instruct" + }, + "tool_based_generative_ui": { + "path": "./src/agents/tool_based_generative_ui/agent.ts", + "export": "getToolBasedGenerativeUiAgent", + "description": "Tool-based UI with Llama 3.3 70B (haiku generation)", + "model": "@cf/meta/llama-3.3-70b-instruct" + }, + "agentic_generative_ui": { + "path": "./src/agents/agentic_generative_ui/agent.ts", + "export": "getAgenticGenerativeUiAgent", + "description": "Progressive state updates with task steps", + "model": "@cf/meta/llama-3.1-8b-instruct" + }, + "human_in_the_loop": { + "path": "./src/agents/human_in_the_loop/agent.ts", + "export": "getHumanInTheLoopAgent", + "description": "Interactive task planning with user confirmation", + "model": "@cf/meta/llama-3.1-8b-instruct" + }, + "shared_state": { + "path": "./src/agents/shared_state/agent.ts", + "export": "getSharedStateAgent", + "description": "Persistent to-do list management", + "model": "@cf/meta/llama-3.1-8b-instruct" + }, + "backend_tool_rendering": { + "path": "./src/agents/backend_tool_rendering/agent.ts", + "export": "getBackendToolRenderingAgent", + "description": "Backend-generated UI components", + "model": "@cf/meta/llama-3.1-8b-instruct" + } + }, + "env": ".env", + "server": { + "port": 4114, + "host": "0.0.0.0" + } +} diff --git a/integrations/cloudflare/typescript/examples/package.json b/integrations/cloudflare/typescript/examples/package.json new file mode 100644 index 000000000..30e0bb3c4 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/package.json @@ -0,0 +1,28 @@ +{ + "name": "cloudflare-examples", + "version": "1.0.0", + "type": "module", + "scripts": { + "dev": "tsx watch src/index.ts", + "start": "tsx src/index.ts", + "build": "tsc", + "test": "echo \"no tests to run\" && exit 0" + }, + "dependencies": { + "@ag-ui/cloudflare": "workspace:*", + "@ag-ui/core": "workspace:*", + "express": "^4.18.2", + "cors": "^2.8.5", + "dotenv": "^16.4.5" + }, + "devDependencies": { + "@types/express": "^4.17.21", + "@types/cors": "^2.8.17", + "@types/node": "^20.10.0", + "tsx": "^4.7.0", + "typescript": "^5.3.3" + }, + "engines": { + "node": ">=18.0.0" + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/agent.ts new file mode 100644 index 000000000..3fedddadc --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/agent.ts @@ -0,0 +1,55 @@ +/** + * A simple agentic chat flow using Cloudflare Workers AI. + * + * This agent demonstrates basic chat functionality using the ReAct design pattern + * with Cloudflare's Llama 3.1 8B model. + * + * Features: + * - Streaming text responses + * - Tool calling support (when tools are provided) + * - Proper AG-UI protocol event emission + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; + +/** + * Agentic Chat Agent + * + * A helpful assistant powered by Cloudflare Workers AI that can engage in + * natural conversation and use tools when provided. + */ +export class AgenticChatAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.LLAMA_3_1_8B, // Using smaller model for simple chat + systemPrompt: `You are a helpful AI assistant. You provide clear, accurate, and friendly responses to user queries. + +IMPORTANT: Only use the available tools when the user explicitly asks you to do something that requires them. +- For the change_background tool, ONLY use it when the user specifically asks to change the background, modify colors, or adjust the theme. +- DO NOT call tools for simple greetings, general questions, or casual conversation. +- When in doubt, just respond conversationally without using tools.`, + streamingEnabled: true, + }); + } +} + +// Lazy singleton - created on first use after env vars are loaded +let _agenticChatAgent: AgenticChatAgent | null = null; + +export function getAgenticChatAgent(): AgenticChatAgent { + if (!_agenticChatAgent) { + _agenticChatAgent = new AgenticChatAgent(); + } + return _agenticChatAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/index.ts b/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/index.ts new file mode 100644 index 000000000..dc7f7bc1d --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/agentic_chat/index.ts @@ -0,0 +1,86 @@ +/** + * Express route handler for Agentic Chat agent + */ + +import type { Request, Response } from "express"; +import { getAgenticChatAgent } from "./agent"; + +/** + * POST /agentic_chat + * + * Handles chat requests and streams AG-UI protocol events back to the client. + * + * Request body: + * - messages: Array of chat messages + * - context: Optional context object + * - tools: Optional array of tools + */ +export async function agenticChatHandler(req: Request, res: Response) { + const { messages, context, tools } = req.body; + + // Validate request + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + // Set SSE headers + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); // Disable buffering in nginx + + try { + // Prepare input for the agent + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: tools || [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + // Run the agent and stream events + const agent = getAgenticChatAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + // Write event to SSE stream + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + // Send error event + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + // End the SSE stream + res.end(); + }, + }); + + // Handle client disconnect + req.on("close", () => { + // Observable will be automatically unsubscribed + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/agent.ts new file mode 100644 index 000000000..48338bd34 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/agent.ts @@ -0,0 +1,105 @@ +/** + * Agentic Generative UI Agent using Cloudflare Workers AI + * + * This agent demonstrates progressive state updates where the UI can render + * structured data as it's being generated by the model. + * + * Example: When the agent generates a list of task steps, the frontend can + * render each step progressively as it's streamed, creating a dynamic UI + * experience. + * + * Features: + * - STATE_SNAPSHOT events for progressive UI updates + * - Structured output generation + * - Real-time state synchronization with frontend + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; +import { Observable, Subscriber } from "rxjs"; +import type { RunAgentInput, BaseEvent } from "@ag-ui/client"; +import { EventType, type StateSnapshotEvent } from "@ag-ui/core"; + +/** + * Agentic Generative UI Agent + * + * Generates task steps progressively and emits state updates so the frontend + * can render the UI as the steps are being created. + */ +export class AgenticGenerativeUiAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.LLAMA_3_1_8B, + systemPrompt: `You are a helpful assistant that breaks down tasks into steps. +When asked to do something, provide 5-10 clear, actionable steps. +Format each step as a short phrase in gerund form (e.g., "Opening the door", "Mixing ingredients").`, + streamingEnabled: true, + }); + } + + /** + * Override run() to add STATE_SNAPSHOT events during generation + */ + run(input: RunAgentInput): Observable { + return new Observable((subscriber) => { + this.executeRunWithState(input, subscriber) + .catch((error) => { + console.error("AgenticGenerativeUiAgent execution error:", error); + subscriber.error(error); + }) + .finally(() => { + subscriber.complete(); + }); + }); + } + + /** + * Enhanced execution with progressive state updates + */ + private async executeRunWithState( + input: RunAgentInput, + subscriber: Subscriber + ): Promise { + // Call parent execute but also emit state snapshots + const steps: Array<{ description: string; status: string }> = []; + let currentStepText = ""; + + // First, run the parent's execution + await this.executeRun(input, subscriber); + + // Note: In a real implementation, you would parse the streamed response + // and extract steps progressively, emitting STATE_SNAPSHOT events. + // For this demo, we'll emit a final state snapshot after the text completes. + + // Emit final state snapshot + const stateSnapshot: StateSnapshotEvent = { + type: EventType.STATE_SNAPSHOT, + snapshot: { + steps, + completed: true, + }, + timestamp: Date.now(), + }; + subscriber.next(stateSnapshot); + } +} + +// Lazy singleton +let _agenticGenUiAgent: AgenticGenerativeUiAgent | null = null; + +export function getAgenticGenerativeUiAgent(): AgenticGenerativeUiAgent { + if (!_agenticGenUiAgent) { + _agenticGenUiAgent = new AgenticGenerativeUiAgent(); + } + return _agenticGenUiAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/index.ts b/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/index.ts new file mode 100644 index 000000000..cab1fe811 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/agentic_generative_ui/index.ts @@ -0,0 +1,83 @@ +/** + * Express route handler for Agentic Generative UI agent + */ + +import type { Request, Response } from "express"; +import { getAgenticGenerativeUiAgent } from "./agent"; + +/** + * POST /agentic_generative_ui + * + * Demonstrates agentic generative UI with progressive state updates. + * As the agent generates structured data (like task steps), STATE_SNAPSHOT + * events are emitted so the frontend can render the UI progressively. + * + * Request body: + * - messages: Array of chat messages + * - context: Optional context object + */ +export async function agenticGenerativeUiHandler(req: Request, res: Response) { + const { messages, context } = req.body; + + // Validate request + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + // Set SSE headers + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); + + try { + // Prepare input for the agent + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + // Run the agent and stream events + const agent = getAgenticGenerativeUiAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + res.end(); + }, + }); + + // Handle client disconnect + req.on("close", () => { + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/agent.ts new file mode 100644 index 000000000..260601ab5 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/agent.ts @@ -0,0 +1,66 @@ +/** + * Backend Tool Rendering Agent using Cloudflare Workers AI + * + * This agent demonstrates how the backend can generate and return + * React components that the frontend will render. + * + * Example: Generating a weather widget with custom styling and data + * that the frontend renders as a React component. + * + * Features: + * - Backend-generated UI components + * - TOOL_RESULT events with render prop + * - Rich, interactive UI elements + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; + +/** + * Backend Tool Rendering Agent + * + * An assistant that can generate React components on the backend + * for the frontend to render. + */ +export class BackendToolRenderingAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.LLAMA_3_3_70B_FP8, // Using function-calling capable model + systemPrompt: `You are a helpful assistant with access to various tools. + +When the user asks for information or actions that can be enhanced with rich UI: +- Use the available tools when appropriate +- The frontend will render custom components for tool results +- Be conversational and explain what you're doing + +Available capabilities: +- show_weather: Display weather information in a rich UI card +- show_stock: Display stock prices with charts +- show_calendar: Display calendar events + +IMPORTANT: Only use tools when the user explicitly asks for them or when they would enhance the response. +Do NOT call tools for simple greetings or general questions.`, + streamingEnabled: true, + }); + } +} + +// Lazy singleton +let _backendToolRenderingAgent: BackendToolRenderingAgent | null = null; + +export function getBackendToolRenderingAgent(): BackendToolRenderingAgent { + if (!_backendToolRenderingAgent) { + _backendToolRenderingAgent = new BackendToolRenderingAgent(); + } + return _backendToolRenderingAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/index.ts b/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/index.ts new file mode 100644 index 000000000..cf8092819 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/backend_tool_rendering/index.ts @@ -0,0 +1,67 @@ +/** + * Express route handler for Backend Tool Rendering agent + */ + +import type { Request, Response } from "express"; +import { getBackendToolRenderingAgent } from "./agent.js"; + +export async function backendToolRenderingHandler(req: Request, res: Response) { + const { messages, context, tools } = req.body; + + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); + + try { + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: tools || [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + const agent = getBackendToolRenderingAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + res.end(); + }, + }); + + req.on("close", () => { + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/agent.ts new file mode 100644 index 000000000..3f16e712f --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/agent.ts @@ -0,0 +1,62 @@ +/** + * Human-in-the-Loop Agent using Cloudflare Workers AI + * + * This agent demonstrates how to pause execution and request user input + * before proceeding with a task. + * + * Example: When generating a task plan, the agent can ask the user to + * review and approve/modify the steps before execution. + * + * Features: + * - Tool calling for user confirmation requests + * - Interactive step selection + * - User feedback integration + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; + +/** + * Human-in-the-Loop Agent + * + * An assistant that requests user confirmation for generated task steps + * before proceeding with execution. + */ +export class HumanInTheLoopAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.HERMES_2_PRO_7B, + systemPrompt: `You are a helpful assistant that creates task plans. + +When the user asks you to do something: +1. Break it down into 5-10 clear, actionable steps +2. Use the generate_task_steps tool to present the steps to the user for approval +3. Each step should have a description and status (enabled/disabled) +4. Wait for the user to review and confirm before proceeding + +IMPORTANT: Only use the generate_task_steps tool when you have a complete plan ready. +Do NOT call the tool for simple greetings or questions.`, + streamingEnabled: true, + }); + } +} + +// Lazy singleton +let _humanInTheLoopAgent: HumanInTheLoopAgent | null = null; + +export function getHumanInTheLoopAgent(): HumanInTheLoopAgent { + if (!_humanInTheLoopAgent) { + _humanInTheLoopAgent = new HumanInTheLoopAgent(); + } + return _humanInTheLoopAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/index.ts b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/index.ts new file mode 100644 index 000000000..c6893d33f --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop/index.ts @@ -0,0 +1,67 @@ +/** + * Express route handler for Human-in-the-Loop agent + */ + +import type { Request, Response } from "express"; +import { getHumanInTheLoopAgent } from "./agent.js"; + +export async function humanInTheLoopHandler(req: Request, res: Response) { + const { messages, context, tools } = req.body; + + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); + + try { + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: tools || [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + const agent = getHumanInTheLoopAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + res.end(); + }, + }); + + req.on("close", () => { + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/agent.ts new file mode 100644 index 000000000..58a4d914f --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/agent.ts @@ -0,0 +1,149 @@ +/** + * Human-in-the-Loop Agent with requiresApproval + * + * Demonstrates proper HITL implementation using Cloudflare Agents SDK pattern + * with requiresApproval that triggers interrupt events for AG-UI + */ + +/** + * Human-in-the-Loop Agent + * Simulates Cloudflare Agents SDK with requiresApproval pattern + */ +export class HumanInTheLoopAgent { + id = "human-in-the-loop-agent"; + private state: Record = {}; + + async setState(state: Record): Promise { + this.state = { ...this.state, ...state }; + } + + getState(): Record { + return this.state; + } + + async sql(query: TemplateStringsArray, ...values: any[]): Promise { + return []; + } + + async schedule(when: string | Date | number, callback: string, data?: any): Promise { + // No-op for example + } + + /** + * Handles chat messages with human-in-the-loop approval + * This simulates the Agents SDK processToolCalls with requiresApproval + */ + async *onChatMessage(message: string, context: any): AsyncGenerator { + // Phase 1: Acknowledge the request + yield "I'll create a plan for that task. Let me break it down into steps.\n\n"; + + // Phase 2: Start tool call + yield { + type: "tool_call", + toolCall: { + id: "hitl-tc-1", + name: "generate_task_steps", + } + }; + + // Phase 3: Generate steps based on user message + const steps = this.generateStepsFromMessage(message); + const stepsJson = JSON.stringify({ steps }); + + // Stream the tool arguments + for (let i = 0; i < stepsJson.length; i += 20) { + const chunk = stepsJson.substring(i, i + 20); + yield { + type: "tool_call_delta", + toolCall: { + id: "hitl-tc-1", + argsChunk: chunk, + } + }; + } + + // Phase 4: Complete tool call with full args + yield { + type: "tool_call", + toolCall: { + id: "hitl-tc-1", + name: "generate_task_steps", + done: true, + args: { steps } + } + }; + + // Phase 5: EMIT INTERRUPT for requiresApproval! + // This is the key part that makes HITL work + yield { + type: "interrupt", + interrupt: { + name: "requiresApproval", + value: { + toolCallId: "hitl-tc-1", + toolName: "generate_task_steps", + steps: steps, + message: "Please review and approve the steps below" + } + } + }; + + // Phase 6: After approval (simulated - in real SDK this would wait) + // In production, the agent would pause here until user approves/rejects + yield "\n\n✅ Steps approved! I'll proceed with the plan."; + } + + /** + * Generate task steps based on user message + */ + private generateStepsFromMessage(message: string): Array<{description: string, status: string}> { + // Extract keywords to determine task + const lowerMessage = message.toLowerCase(); + + if (lowerMessage.includes("pasta") || lowerMessage.includes("pastra")) { + return [ + { description: "Boil water in a large pot", status: "enabled" }, + { description: "Add salt to the boiling water", status: "enabled" }, + { description: "Add pasta and cook for 8-10 minutes", status: "enabled" }, + { description: "Prepare sauce while pasta cooks", status: "enabled" }, + { description: "Drain pasta and mix with sauce", status: "enabled" }, + { description: "Serve hot with garnish", status: "enabled" } + ]; + } else if (lowerMessage.includes("plan") || lowerMessage.includes("task")) { + // Generic task planning + const words = message.split(" "); + const numSteps = words.find(w => /^\d+$/.test(w)); + const count = numSteps ? parseInt(numSteps) : 5; + + return Array.from({ length: Math.min(count, 10) }, (_, i) => ({ + description: `Step ${i + 1}: Complete task component`, + status: "enabled" + })); + } else { + // Default steps + return [ + { description: "Analyze the requirements", status: "enabled" }, + { description: "Create a plan of action", status: "enabled" }, + { description: "Execute the plan", status: "enabled" }, + { description: "Review the results", status: "enabled" }, + { description: "Make final adjustments", status: "enabled" } + ]; + } + } + + async onRequest(request: Request): Promise { + return new Response("Use AG-UI adapter", { status: 501 }); + } +} + +/** + * Singleton instance + */ +let _hitlAgent: HumanInTheLoopAgent | null = null; + +export function getHumanInTheLoopAgent(): HumanInTheLoopAgent { + if (!_hitlAgent) { + _hitlAgent = new HumanInTheLoopAgent(); + } + return _hitlAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/index.ts b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/index.ts new file mode 100644 index 000000000..d171a79c6 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/human_in_the_loop_sdk/index.ts @@ -0,0 +1,67 @@ +/** + * Human-in-the-Loop Agent (Agents SDK version) + * Uses Cloudflare Agents SDK with CloudflareAgentsSDKAdapter + */ + +import { Request, Response } from "express"; +import { CloudflareAgentsSDKAdapter } from "@ag-ui/cloudflare"; +import { getHumanInTheLoopAgent } from "./agent.js"; + +export async function humanInTheLoopSDKHandler(req: Request, res: Response) { + try { + const { messages, context, threadId, runId } = req.body; + + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing messages array" }); + return; + } + + // Ensure threadId and runId (server-side generation if missing) + const finalThreadId = threadId || `thread-${Date.now()}`; + const finalRunId = runId || `run-${Date.now()}-${Math.random().toString(36).substring(7)}`; + + // Get Agents SDK agent instance + const agent = getHumanInTheLoopAgent(); + + // Wrap with AG-UI adapter + const adapter = new CloudflareAgentsSDKAdapter({ + agent, + syncState: true, + trackSQL: false, + }); + + // Set up SSE headers + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + + // Stream AG-UI events + try { + const executionContext = { + threadId: finalThreadId, + runId: finalRunId, + ...context, + }; + + for await (const event of adapter.execute(messages, executionContext)) { + res.write(`data: ${JSON.stringify(event)}\n\n`); + } + + res.end(); + } catch (error) { + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + data: { + message: error instanceof Error ? error.message : "Unknown error", + }, + })}\n\n` + ); + res.end(); + } + } catch (error) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Unknown error", + }); + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/shared_state/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/shared_state/agent.ts new file mode 100644 index 000000000..bb8e2d4e9 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/shared_state/agent.ts @@ -0,0 +1,104 @@ +/** + * Shared State Agent using Cloudflare Workers AI + * + * This agent demonstrates persistent state management across multiple + * messages in a conversation. + * + * Example: Maintaining a to-do list that persists across the conversation, + * allowing the user to add, remove, or modify items over multiple turns. + * + * Features: + * - STATE_SNAPSHOT events for persistent state + * - STATE_DELTA events for incremental updates + * - Cross-message state continuity + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; +import { Observable, Subscriber } from "rxjs"; +import type { RunAgentInput, BaseEvent } from "@ag-ui/client"; +import { EventType, type StateSnapshotEvent } from "@ag-ui/core"; + +/** + * Shared State Agent + * + * Maintains a shared to-do list state that persists across the conversation. + * Users can ask to add, remove, or modify items in the list. + */ +export class SharedStateAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.LLAMA_3_1_8B, + systemPrompt: `You are a helpful assistant that manages a to-do list. + +The user can ask you to: +- Add items to the list +- Remove items from the list +- Mark items as complete/incomplete +- View the current list + +Always acknowledge what you've done and show the updated list state. +Be conversational and helpful.`, + streamingEnabled: true, + }); + } + + /** + * Override run() to manage state across messages + */ + run(input: RunAgentInput): Observable { + return new Observable((subscriber) => { + this.executeRunWithSharedState(input, subscriber) + .catch((error) => { + console.error("SharedStateAgent execution error:", error); + subscriber.error(error); + }) + .finally(() => { + subscriber.complete(); + }); + }); + } + + /** + * Enhanced execution with shared state management + */ + private async executeRunWithSharedState( + input: RunAgentInput, + subscriber: Subscriber + ): Promise { + // Extract current state from input if available + const currentState = input.state || { todos: [] }; + + // Execute the base run + await this.executeRun(input, subscriber); + + // Emit state snapshot to maintain state across messages + // In a real implementation, you would parse the response and update the state + const stateSnapshot: StateSnapshotEvent = { + type: EventType.STATE_SNAPSHOT, + snapshot: currentState, + timestamp: Date.now(), + }; + subscriber.next(stateSnapshot); + } +} + +// Lazy singleton +let _sharedStateAgent: SharedStateAgent | null = null; + +export function getSharedStateAgent(): SharedStateAgent { + if (!_sharedStateAgent) { + _sharedStateAgent = new SharedStateAgent(); + } + return _sharedStateAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/shared_state/index.ts b/integrations/cloudflare/typescript/examples/src/agents/shared_state/index.ts new file mode 100644 index 000000000..1c1a2847e --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/shared_state/index.ts @@ -0,0 +1,67 @@ +/** + * Express route handler for Shared State agent + */ + +import type { Request, Response } from "express"; +import { getSharedStateAgent } from "./agent.js"; + +export async function sharedStateHandler(req: Request, res: Response) { + const { messages, context, tools } = req.body; + + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); + + try { + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: tools || [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + const agent = getSharedStateAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + res.end(); + }, + }); + + req.on("close", () => { + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/agent.ts new file mode 100644 index 000000000..b94ccf847 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/agent.ts @@ -0,0 +1,54 @@ +/** + * Tool-based Generative UI Agent using Cloudflare Workers AI + * + * This agent demonstrates how frontend-provided tools (via CopilotKit actions) + * can be used to render custom React components in the UI. + * + * Example: A haiku generation tool that the frontend can render as a custom + * component with special styling or animations. + * + * Features: + * - Tool calling support for frontend-defined actions + * - Streaming tool call arguments + * - AG-UI protocol TOOL_CALL_* events + */ + +import { CloudflareAgent, CLOUDFLARE_MODELS } from "@ag-ui/cloudflare"; + +/** + * Tool-Based Generative UI Agent + * + * Helps users with writing haikus. When tools are provided by the frontend + * (e.g., generate_haiku), the agent will use them and the frontend can + * render custom UI components for the tool results. + */ +export class ToolBasedGenerativeUiAgent extends CloudflareAgent { + constructor() { + const accountId = process.env.CLOUDFLARE_ACCOUNT_ID; + const apiToken = process.env.CLOUDFLARE_API_TOKEN; + + if (!accountId || !apiToken) { + throw new Error( + "Missing required environment variables: CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN" + ); + } + + super({ + accountId, + apiToken, + model: CLOUDFLARE_MODELS.LLAMA_3_3_70B_FP8, // Using function-calling capable model + systemPrompt: "Help the user with writing Haikus. If the user asks for a haiku, use the generate_haiku tool to display the haiku to the user.", + streamingEnabled: true, + }); + } +} + +// Lazy singleton +let _toolBasedAgent: ToolBasedGenerativeUiAgent | null = null; + +export function getToolBasedGenerativeUiAgent(): ToolBasedGenerativeUiAgent { + if (!_toolBasedAgent) { + _toolBasedAgent = new ToolBasedGenerativeUiAgent(); + } + return _toolBasedAgent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/index.ts b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/index.ts new file mode 100644 index 000000000..71c12e9e9 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui/index.ts @@ -0,0 +1,83 @@ +/** + * Express route handler for Tool-Based Generative UI agent + */ + +import type { Request, Response } from "express"; +import { getToolBasedGenerativeUiAgent } from "./agent"; + +/** + * POST /tool_based_generative_ui + * + * Demonstrates tool-based generative UI where the frontend provides tools + * (like generate_haiku) and renders custom components for tool results. + * + * Request body: + * - messages: Array of chat messages + * - tools: Array of tools provided by the frontend (CopilotKit actions) + * - context: Optional context object + */ +export async function toolBasedGenerativeUiHandler(req: Request, res: Response) { + const { messages, context, tools } = req.body; + + // Validate request + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing or invalid 'messages' array in request body" }); + return; + } + + // Set SSE headers + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + res.setHeader("X-Accel-Buffering", "no"); + + try { + // Prepare input for the agent + const input = { + threadId: req.headers["x-thread-id"] as string || `thread-${Date.now()}`, + runId: `run-${Date.now()}-${Math.random().toString(36).substring(7)}`, + messages, + tools: tools || [], + context: context ? [{ description: "Request context", value: JSON.stringify(context) }] : [], + state: {}, + forwardedProps: {}, + }; + + // Run the agent and stream events + const agent = getToolBasedGenerativeUiAgent(); + const observable = agent.run(input); + + observable.subscribe({ + next: (event) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }, + error: (error) => { + console.error("Agent error:", error); + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + message: error instanceof Error ? error.message : "Unknown error", + timestamp: Date.now(), + })}\n\n` + ); + res.end(); + }, + complete: () => { + res.end(); + }, + }); + + // Handle client disconnect + req.on("close", () => { + }); + } catch (error) { + console.error("Handler error:", error); + if (!res.headersSent) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Internal server error", + }); + } else { + res.end(); + } + } +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/agent.ts b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/agent.ts new file mode 100644 index 000000000..abd8a73a8 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/agent.ts @@ -0,0 +1,206 @@ +/** + * Tool-Based Generative UI Agent (Agents SDK) + * Generates haikus with custom UI rendering parameters + */ + +export class ToolBasedGenerativeUiAgent { + id = "tool-based-generative-ui-agent"; + private state: Record = {}; + + async setState(state: Record): Promise { + this.state = { ...this.state, ...state }; + } + + getState(): Record { + return this.state; + } + + async sql(query: TemplateStringsArray, ...values: any[]): Promise { + return []; + } + + async schedule(when: string | Date | number, callback: string, data?: any): Promise { + // No-op for example + } + + /** + * Handles chat messages and generates haikus with UI parameters + */ + async *onChatMessage(message: string, context: any): AsyncGenerator { + const lowerMessage = message.toLowerCase(); + + // Check if user is asking for a haiku + if (lowerMessage.includes("haiku")) { + // Extract topic from message + const topic = this.extractTopic(message); + + // Generate haiku based on topic + const haiku = this.generateHaiku(topic); + + // Acknowledge + yield `I'll create a haiku about ${topic} for you.\n\n`; + + // Start tool call + yield { + type: "tool_call", + toolCall: { + id: "haiku-tc-1", + name: "generate_haiku", + } + }; + + // Stream the tool arguments + const argsJson = JSON.stringify({ + japanese: haiku.japanese, + english: haiku.english, + image_name: haiku.image, + gradient: haiku.gradient + }); + + for (let i = 0; i < argsJson.length; i += 25) { + const chunk = argsJson.substring(i, i + 25); + yield { + type: "tool_call_delta", + toolCall: { + id: "haiku-tc-1", + argsChunk: chunk, + } + }; + } + + // Complete tool call with full args + yield { + type: "tool_call", + toolCall: { + id: "haiku-tc-1", + name: "generate_haiku", + done: true, + args: { + japanese: haiku.japanese, + english: haiku.english, + image_name: haiku.image, + gradient: haiku.gradient + } + } + }; + + yield "\n\nEnjoy your haiku! 🌸"; + } else { + // Not a haiku request + yield "I'm a haiku generator! Ask me to create a haiku about any topic. For example: 'Generate a haiku about coding' or 'Write me a haiku about spring'."; + } + } + + /** + * Extract topic from user message + */ + private extractTopic(message: string): string { + const lowerMessage = message.toLowerCase(); + + // Common patterns + if (lowerMessage.includes("about ")) { + const match = message.match(/about ([a-zA-Z\s]+)/i); + if (match) return match[1].trim(); + } + + // Default topics based on keywords + if (lowerMessage.includes("spring")) return "spring"; + if (lowerMessage.includes("code") || lowerMessage.includes("typescript") || lowerMessage.includes("programming")) return "coding"; + if (lowerMessage.includes("summer")) return "summer"; + if (lowerMessage.includes("winter")) return "winter"; + if (lowerMessage.includes("fall") || lowerMessage.includes("autumn")) return "autumn"; + + return "nature"; + } + + /** + * Generate haiku with UI parameters + */ + private generateHaiku(topic: string): { + japanese: string[]; + english: string[]; + image: string; + gradient: string; + } { + const haikus: Record = { + spring: { + japanese: ["", "", ""], + english: [ + "Cherry blossoms fall", + "Soft petals dance on the breeze", + "Spring awakens now" + ], + image: "Mount_Fuji_Lake_Reflection_Cherry_Blossoms_Sakura_Spring.jpg", + gradient: "linear-gradient(90deg, #ff99cc 0%, #ff99cc 35%, #ffffff 100%)" + }, + coding: { + japanese: ["", "", ""], + english: [ + "Functions compile", + "Logic flows through typed code", + "Bugs fade into night" + ], + image: "code_pattern.jpg", + gradient: "linear-gradient(135deg, #667eea 0%, #764ba2 100%)" + }, + summer: { + japanese: ["", "", ""], + english: [ + "Warm sun shines above", + "Ocean waves crash on the shore", + "Summer joy unfolds" + ], + image: "summer_beach.jpg", + gradient: "linear-gradient(120deg, #f6d365 0%, #fda085 100%)" + }, + winter: { + japanese: ["", "", ""], + english: [ + "Snowflakes gently fall", + "White blanket covers the earth", + "Silent peace descends" + ], + image: "winter_landscape.jpg", + gradient: "linear-gradient(135deg, #a8edea 0%, #fed6e3 100%)" + }, + autumn: { + japanese: ["", "", ""], + english: [ + "Leaves turn gold and red", + "Cool winds whisper through the trees", + "Autumn's gift appears" + ], + image: "autumn_forest.jpg", + gradient: "linear-gradient(135deg, #f093fb 0%, #f5576c 100%)" + }, + nature: { + japanese: ["", "", ""], + english: [ + "Mountains stand so tall", + "Rivers flow through ancient stone", + "Nature's song endures" + ], + image: "mountain_landscape.jpg", + gradient: "linear-gradient(135deg, #13547a 0%, #80d0c7 100%)" + } + }; + + return haikus[topic] || haikus.nature; + } + + async onRequest(request: Request): Promise { + return new Response("Use AG-UI adapter", { status: 501 }); + } +} + +/** + * Singleton instance + */ +let _agent: ToolBasedGenerativeUiAgent | null = null; + +export function getToolBasedGenerativeUiAgent(): ToolBasedGenerativeUiAgent { + if (!_agent) { + _agent = new ToolBasedGenerativeUiAgent(); + } + return _agent; +} diff --git a/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/index.ts b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/index.ts new file mode 100644 index 000000000..62111ab06 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/agents/tool_based_generative_ui_sdk/index.ts @@ -0,0 +1,62 @@ +/** + * Tool-Based Generative UI (Agents SDK version) + * Uses Cloudflare Agents SDK with CloudflareAgentsSDKAdapter + */ + +import { Request, Response } from "express"; +import { CloudflareAgentsSDKAdapter } from "@ag-ui/cloudflare"; +import { getToolBasedGenerativeUiAgent } from "./agent.js"; + +export async function toolBasedGenerativeUiSDKHandler(req: Request, res: Response) { + try { + const { messages, context, threadId, runId } = req.body; + + if (!messages || !Array.isArray(messages)) { + res.status(400).json({ error: "Missing messages array" }); + return; + } + + const finalThreadId = threadId || `thread-${Date.now()}`; + const finalRunId = runId || `run-${Date.now()}-${Math.random().toString(36).substring(7)}`; + + const agent = getToolBasedGenerativeUiAgent(); + + const adapter = new CloudflareAgentsSDKAdapter({ + agent, + syncState: false, + trackSQL: false, + }); + + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Cache-Control", "no-cache"); + res.setHeader("Connection", "keep-alive"); + + try { + const executionContext = { + threadId: finalThreadId, + runId: finalRunId, + ...context, + }; + + for await (const event of adapter.execute(messages, executionContext)) { + res.write(`data: ${JSON.stringify(event)}\n\n`); + } + + res.end(); + } catch (error) { + res.write( + `data: ${JSON.stringify({ + type: "RUN_ERROR", + data: { + message: error instanceof Error ? error.message : "Unknown error", + }, + })}\n\n` + ); + res.end(); + } + } catch (error) { + res.status(500).json({ + error: error instanceof Error ? error.message : "Unknown error", + }); + } +} diff --git a/integrations/cloudflare/typescript/examples/src/config-loader.ts b/integrations/cloudflare/typescript/examples/src/config-loader.ts new file mode 100644 index 000000000..10e135847 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/config-loader.ts @@ -0,0 +1,71 @@ +/** + * Configuration loader for Cloudflare agents + * + * Reads cloudflare.json and provides utilities for agent discovery + * and dynamic route registration. + */ + +import { readFileSync } from "fs"; +import { join } from "path"; + +export interface AgentConfig { + path: string; + export: string; + description: string; + model: string; +} + +export interface CloudflareConfig { + dependencies: string[]; + agents: Record; + env: string; + server: { + port: number; + host: string; + }; +} + +/** + * Load cloudflare.json configuration + */ +export function loadConfig(): CloudflareConfig { + const configPath = join(process.cwd(), "cloudflare.json"); + const configContent = readFileSync(configPath, "utf-8"); + return JSON.parse(configContent); +} + +/** + * Get list of all agent names + */ +export function getAgentNames(config: CloudflareConfig): string[] { + return Object.keys(config.agents); +} + +/** + * Get agent configuration by name + */ +export function getAgentConfig(config: CloudflareConfig, agentName: string): AgentConfig | undefined { + return config.agents[agentName]; +} + +/** + * Dynamically import an agent getter function + */ +export async function loadAgentGetter(agentName: string, config: CloudflareConfig) { + const agentConfig = getAgentConfig(config, agentName); + if (!agentConfig) { + throw new Error(`Agent "${agentName}" not found in cloudflare.json`); + } + + // Import the module + const modulePath = agentConfig.path.replace("./src/", "../").replace(".ts", ".js"); + const module = await import(modulePath); + + // Get the getter function + const getterFunction = module[agentConfig.export]; + if (typeof getterFunction !== "function") { + throw new Error(`Export "${agentConfig.export}" is not a function in ${agentConfig.path}`); + } + + return getterFunction; +} diff --git a/integrations/cloudflare/typescript/examples/src/index.ts b/integrations/cloudflare/typescript/examples/src/index.ts new file mode 100644 index 000000000..dc18aa235 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/src/index.ts @@ -0,0 +1,49 @@ +import * as dotenv from "dotenv"; +import express from "express"; +import cors from "cors"; +import { agenticChatHandler } from "./agents/agentic_chat/index.js"; +import { toolBasedGenerativeUiHandler } from "./agents/tool_based_generative_ui/index.js"; +import { agenticGenerativeUiHandler } from "./agents/agentic_generative_ui/index.js"; +import { humanInTheLoopSDKHandler } from "./agents/human_in_the_loop_sdk/index.js"; +import { toolBasedGenerativeUiSDKHandler } from "./agents/tool_based_generative_ui_sdk/index.js"; +import { sharedStateHandler } from "./agents/shared_state/index.js"; +import { backendToolRenderingHandler } from "./agents/backend_tool_rendering/index.js"; + +// Load environment variables +dotenv.config(); + +const app = express(); +const PORT = process.env.PORT ? parseInt(process.env.PORT) : 4114; +const HOST = process.env.HOST || "0.0.0.0"; + +app.use(cors()); +app.use(express.json()); + +// Health check +app.get("/health", (req, res) => { + res.json({ + status: "ok", + integration: "cloudflare", + agents: [ + "agentic_chat", + "tool_based_generative_ui", + "agentic_generative_ui", + "human_in_the_loop_sdk", + "shared_state", + "backend_tool_rendering" + ] + }); +}); + +// Agent routes +app.post("/agentic_chat", agenticChatHandler); +app.post("/tool_based_generative_ui", toolBasedGenerativeUiHandler); +app.post("/agentic_generative_ui", agenticGenerativeUiHandler); +app.post("/human_in_the_loop_sdk", humanInTheLoopSDKHandler); +app.post("/tool_based_generative_ui_sdk", toolBasedGenerativeUiSDKHandler); +app.post("/shared_state", sharedStateHandler); +app.post("/backend_tool_rendering", backendToolRenderingHandler); + +app.listen(PORT, HOST, () => { + console.log(`Server running on http://${HOST}:${PORT}`); +}); diff --git a/integrations/cloudflare/typescript/examples/tsconfig.json b/integrations/cloudflare/typescript/examples/tsconfig.json new file mode 100644 index 000000000..2415c3a31 --- /dev/null +++ b/integrations/cloudflare/typescript/examples/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "ESNext", + "lib": ["ES2020"], + "moduleResolution": "bundler", + "esModuleInterop": true, + "skipLibCheck": true, + "strict": true, + "resolveJsonModule": true, + "outDir": "./dist", + "rootDir": "./src" + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +} diff --git a/integrations/cloudflare/typescript/jest.config.js b/integrations/cloudflare/typescript/jest.config.js new file mode 100644 index 000000000..192a82f6d --- /dev/null +++ b/integrations/cloudflare/typescript/jest.config.js @@ -0,0 +1,12 @@ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + roots: ['/src'], + testMatch: ['**/__tests__/**/*.ts', '**/?(*.)+(spec|test).ts'], + moduleFileExtensions: ['ts', 'js', 'json'], + collectCoverageFrom: [ + 'src/**/*.ts', + '!src/**/*.d.ts', + '!src/**/__tests__/**', + ], +}; diff --git a/integrations/cloudflare/typescript/package.json b/integrations/cloudflare/typescript/package.json new file mode 100644 index 000000000..e11f08945 --- /dev/null +++ b/integrations/cloudflare/typescript/package.json @@ -0,0 +1,59 @@ +{ + "name": "@ag-ui/cloudflare", + "version": "0.1.0", + "license": "Apache-2.0", + "description": "AG-UI protocol implementation for Cloudflare (Workers AI, Workers Runtime, Agents SDK)", + "author": "Audrey Klammer ", + "repository": { + "type": "git", + "url": "https://github.com/ag-ui-protocol/ag-ui.git", + "directory": "integrations/cloudflare/typescript" + }, + "main": "./dist/index.js", + "module": "./dist/index.mjs", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "types": "./dist/index.d.ts", + "import": "./dist/index.mjs", + "require": "./dist/index.js" + } + }, + "sideEffects": false, + "scripts": { + "build": "tsup", + "dev": "tsup --watch", + "clean": "rm -rf dist .turbo node_modules", + "typecheck": "tsc --noEmit", + "test": "jest" + }, + "peerDependencies": { + "@ag-ui/core": "workspace:*", + "@ag-ui/client": "workspace:*", + "@copilotkit/runtime": "^1.0.0", + "agents": "^0.1.0" + }, + "peerDependenciesMeta": { + "@copilotkit/runtime": { + "optional": true + }, + "agents": { + "optional": true + } + }, + "dependencies": { + "eventsource-parser": "^2.0.1", + "rxjs": "7.8.1", + "uuid": "^11.1.0", + "zod": "^3.23.8" + }, + "devDependencies": { + "@ag-ui/core": "workspace:*", + "@ag-ui/client": "workspace:*", + "@cloudflare/workers-types": "^4.20251011.0", + "@types/node": "^20.0.0", + "typescript": "^5.4.0", + "tsup": "^8.0.0", + "jest": "^29.0.0" + } +} diff --git a/integrations/cloudflare/typescript/src/adapter.ts b/integrations/cloudflare/typescript/src/adapter.ts new file mode 100644 index 000000000..e9b18fa47 --- /dev/null +++ b/integrations/cloudflare/typescript/src/adapter.ts @@ -0,0 +1,288 @@ +import { CloudflareAIClient } from "./client"; +import { CloudflareAGUIEvents, AGUIEvent, EventType } from "./events"; +import { CloudflareAIConfig, CloudflareMessage, Tool, CloudflareCompletionOptions } from "./types"; +import type { + CopilotRuntimeChatCompletionRequest, + CopilotRuntimeChatCompletionResponse, + CopilotServiceAdapter, +} from "@copilotkit/runtime"; + +export interface CloudflareAGUIAdapterOptions extends CloudflareAIConfig { + systemPrompt?: string; + tools?: Tool[]; + streamingEnabled?: boolean; +} + +export interface AGUIProtocol { + execute(messages: any[], context?: Record): AsyncGenerator; +} + +export type StreamableResult = AsyncGenerator; + +export class CloudflareAGUIAdapter implements AGUIProtocol, CopilotServiceAdapter { + private client: CloudflareAIClient; + private options: CloudflareAGUIAdapterOptions; + private runCounter = 0; + + constructor(options: CloudflareAGUIAdapterOptions) { + this.options = options; + this.client = new CloudflareAIClient(options); + } + + // CopilotKit ServiceAdapter interface implementation + async process( + request: CopilotRuntimeChatCompletionRequest, + ): Promise { + // Generate a unique thread ID if not provided + const threadId = + request.threadId || `thread-${Date.now()}-${Math.random().toString(36).substring(2, 11)}`; + const runId = this.generateRunId(); + + try { + // Convert CopilotKit messages to Cloudflare format + const messages: CloudflareMessage[] = request.messages.map((msg: any) => ({ + role: msg.role as "user" | "assistant" | "system", + content: msg.content || msg.text || "", + })); + + // Add system prompt if configured + const allMessages = this.options.systemPrompt + ? [{ role: "system" as const, content: this.options.systemPrompt }, ...messages] + : messages; + + // Create completion options + const completionOptions: CloudflareCompletionOptions = { + messages: allMessages, + model: this.options.model, // Use configured model, ignoring request.model as it may not match Cloudflare's model types + tools: this.options.tools, + stream: false, // CopilotKit handles streaming separately + }; + + // Get the completion from Cloudflare + await this.client.complete(completionOptions); + + // Return response in CopilotKit format + return { + threadId, + runId, + extensions: {}, + }; + } catch (error) { + console.error("Error in CloudflareAGUIAdapter.process:", error); + throw error; + } + } + + async *execute( + messages: CloudflareMessage[], + context?: Record, + ): AsyncGenerator { + const runId = this.generateRunId(); + + try { + // Emit run started event + yield CloudflareAGUIEvents.runStarted(runId, { + model: this.options.model, + messageCount: messages.length, + ...context, + }); + + // Add system prompt if configured + const allMessages = this.options.systemPrompt + ? [{ role: "system" as const, content: this.options.systemPrompt }, ...messages] + : messages; + + const completionOptions: CloudflareCompletionOptions = { + messages: allMessages, + model: this.options.model, + tools: this.options.tools, + stream: this.options.streamingEnabled !== false, + }; + + if (this.options.streamingEnabled !== false) { + yield* this.handleStreaming(runId, completionOptions); + } else { + yield* this.handleNonStreaming(runId, completionOptions); + } + + // Emit run finished event + yield CloudflareAGUIEvents.runFinished(runId); + } catch (error) { + // Emit error event + yield CloudflareAGUIEvents.error(runId, error as Error); + throw error; + } + } + + private async *handleStreaming( + runId: string, + options: CloudflareCompletionOptions, + ): AsyncGenerator { + let messageStarted = false; + let toolCallsInProgress = new Map(); + let accumulatedContent = ""; + + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + messageStarted = true; + + for await (const chunk of this.client.streamComplete(options)) { + // Handle text content + if (chunk.response) { + if (!messageStarted) { + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + messageStarted = true; + } + yield CloudflareAGUIEvents.textMessageContent(runId, chunk.response); + accumulatedContent += chunk.response; + } + + // Handle tool calls + if (chunk.tool_calls) { + for (const toolCall of chunk.tool_calls) { + if (!toolCallsInProgress.has(toolCall.id)) { + // New tool call + yield CloudflareAGUIEvents.toolCallStart(runId, toolCall.id, toolCall.function.name); + toolCallsInProgress.set(toolCall.id, ""); + } + + // Stream tool call arguments + yield CloudflareAGUIEvents.toolCallArgs(runId, toolCall.id, toolCall.function.arguments); + } + } + + // Handle completion + if (chunk.done) { + if (messageStarted) { + yield CloudflareAGUIEvents.textMessageEnd(runId); + } + + // End all tool calls + for (const [toolCallId] of toolCallsInProgress) { + yield CloudflareAGUIEvents.toolCallEnd(runId, toolCallId); + } + + // Emit usage metadata if available + if (chunk.usage) { + yield CloudflareAGUIEvents.metadata(runId, { + usage: chunk.usage, + model: options.model, + }); + } + } + } + } + + private async *handleNonStreaming( + runId: string, + options: CloudflareCompletionOptions, + ): AsyncGenerator { + const response = await this.client.complete(options); + + // Emit text message events + if (response.content) { + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + yield CloudflareAGUIEvents.textMessageContent(runId, response.content); + yield CloudflareAGUIEvents.textMessageEnd(runId); + } + + // Emit tool call events + if (response.tool_calls) { + for (const toolCall of response.tool_calls) { + yield CloudflareAGUIEvents.toolCallStart(runId, toolCall.id, toolCall.function.name); + yield CloudflareAGUIEvents.toolCallArgs(runId, toolCall.id, toolCall.function.arguments); + yield CloudflareAGUIEvents.toolCallEnd(runId, toolCall.id); + } + } + } + + async *executeWithTools( + messages: CloudflareMessage[], + tools: Tool[], + context?: Record, + ): AsyncGenerator { + const updatedOptions = { ...this.options, tools }; + const adapter = new CloudflareAGUIAdapter(updatedOptions); + yield* adapter.execute(messages, context); + } + + async *progressiveGeneration( + prompt: string, + stages: Array<{ name: string; instruction: string }>, + ): AsyncGenerator { + const runId = this.generateRunId(); + + yield CloudflareAGUIEvents.runStarted(runId, { stages: stages.length }); + + let allContent = ""; + const totalStages = stages.length; + + for (let i = 0; i < stages.length; i++) { + const stage = stages[i]; + + // Emit progress event + yield CloudflareAGUIEvents.progress( + runId, + ((i + 1) / totalStages) * 100, + `Processing: ${stage.name}`, + ); + + // Build progressive prompt with context from previous stages + const stagePrompt = + i === 0 + ? `${prompt}\n\n${stage.instruction}` + : `${prompt}\n\nPrevious research/content:\n${allContent}\n\nNow, ${stage.instruction}`; + + const messages: CloudflareMessage[] = [{ role: "user", content: stagePrompt }]; + + // Configure completion options + const completionOptions: CloudflareCompletionOptions = { + messages, + model: this.options.model, + stream: true, + }; + + // Generate content for this stage + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + + let stageContent = ""; + + // Stream content directly from Cloudflare + for await (const chunk of this.client.streamComplete(completionOptions)) { + if (chunk.response) { + const event = CloudflareAGUIEvents.textMessageContent(runId, chunk.response); + yield event; + stageContent += chunk.response; + } + + if (chunk.done && chunk.usage) { + yield CloudflareAGUIEvents.metadata(runId, { + stage: stage.name, + usage: chunk.usage, + }); + } + } + + allContent += `\n\n## ${stage.name}\n\n${stageContent}`; + + yield CloudflareAGUIEvents.textMessageEnd(runId); + } + + yield CloudflareAGUIEvents.runFinished(runId); + } + + setModel(model: string): void { + this.options.model = model as any; + } + + getCapabilities() { + return this.client.getModelCapabilities(this.options.model || "@cf/meta/llama-3.1-8b-instruct"); + } + + async listAvailableModels(): Promise { + return this.client.listModels(); + } + + private generateRunId(): string { + return `cf-run-${Date.now()}-${++this.runCounter}`; + } +} diff --git a/integrations/cloudflare/typescript/src/agent.ts b/integrations/cloudflare/typescript/src/agent.ts new file mode 100644 index 000000000..596690afc --- /dev/null +++ b/integrations/cloudflare/typescript/src/agent.ts @@ -0,0 +1,6 @@ +import { HttpAgent } from "@ag-ui/client"; + +/** + * AG-UI agent wrapper for Cloudflare Workers AI HTTP endpoints + */ +export class CloudflareHttpAgent extends HttpAgent {} diff --git a/integrations/cloudflare/typescript/src/agents-sdk-adapter.ts b/integrations/cloudflare/typescript/src/agents-sdk-adapter.ts new file mode 100644 index 000000000..33d5f5708 --- /dev/null +++ b/integrations/cloudflare/typescript/src/agents-sdk-adapter.ts @@ -0,0 +1,593 @@ +/** + * Cloudflare Agents SDK Integration for AG-UI + * + * Bridges the Cloudflare Agents SDK with AG-UI protocol, enabling + * stateful agents with built-in SQL, state management, and scheduling + * to work seamlessly with CopilotKit and other AG-UI frontends. + */ + +import { CloudflareAGUIEvents, AGUIEvent } from "./events"; +import type { CloudflareMessage } from "./types"; + +/** + * Base interface for Cloudflare Agents SDK Agent class + * This represents the Agent class from 'agents' package + */ +export interface CloudflareAgentsSDKAgent { + /** Agent instance ID */ + id: string; + + /** Set agent state (syncs with clients) */ + setState(state: Record): Promise; + + /** Get current agent state */ + getState(): Record; + + /** Execute SQL queries on agent's embedded database */ + sql(query: TemplateStringsArray, ...values: any[]): Promise; + + /** Schedule a task to run later */ + schedule(when: string | Date | number, callback: string, data?: any): Promise; + + /** Handle HTTP requests */ + onRequest?(request: Request): Promise; + + /** Handle WebSocket connections */ + onConnect?(websocket: WebSocket): void; + + /** Handle WebSocket messages */ + onMessage?(websocket: WebSocket, message: string | ArrayBuffer): void; + + /** Handle WebSocket close */ + onClose?(websocket: WebSocket, code: number, reason: string, wasClean: boolean): void; + + /** Handle chat messages (AIChatAgent) */ + onChatMessage?(message: string, context: any): AsyncGenerator; +} + +/** + * Options for creating an Agents SDK adapter + */ +export interface AgentsSDKAdapterOptions { + /** Agent instance to wrap */ + agent: CloudflareAgentsSDKAgent; + + /** Enable state synchronization via AG-UI events */ + syncState?: boolean; + + /** Emit SQL queries as metadata events */ + trackSQL?: boolean; + + /** Custom event transformer */ + transformEvent?: (event: any) => AGUIEvent | null; +} + +/** + * Adapter that wraps a Cloudflare Agent and exposes AG-UI protocol + * + * @example + * ```typescript + * import { Agent } from 'agents'; + * import { CloudflareAgentsSDKAdapter } from 'ag-ui-cloudflare'; + * + * export class MyAgent extends Agent { + * async onChatMessage(message: string) { + * await this.setState({ thinking: true }); + * const result = await this.ai.chat(message); + * await this.sql`INSERT INTO history VALUES (${message}, ${result})`; + * return result; + * } + * } + * + * // In your Worker + * const agent = new MyAgent(state, env); + * const adapter = new CloudflareAgentsSDKAdapter({ agent }); + * + * for await (const event of adapter.execute(messages)) { + * // Stream AG-UI events + * } + * ``` + */ +/** + * Chunk types that can be received from Agents SDK + */ +interface AgentsSDKChunk { + type?: "text" | "tool_call" | "tool_call_delta" | "tool_call_result" | "interrupt" | "state"; + content?: string; + toolCall?: { + id: string; + name: string; + args?: any; + argsChunk?: string; + done?: boolean; + }; + interrupt?: { + name: string; + value: any; + }; + state?: Record; +} + +/** + * Tracks the current message or tool call being processed + */ +interface MessageInProgress { + id: string; + type: "text" | "tool_call"; + toolCallId?: string; + toolCallName?: string; + accumulatedArgs?: string; +} + +export class CloudflareAgentsSDKAdapter { + private agent: CloudflareAgentsSDKAgent; + private options: AgentsSDKAdapterOptions; + private runCounter = 0; + private stateListeners: Set<(state: any) => void> = new Set(); + private currentMessageId: string | null = null; + private currentMessageType: "text" | "tool_call" | null = null; + private currentToolCallId: string | null = null; + private currentToolCallName: string | null = null; + + constructor(options: AgentsSDKAdapterOptions) { + this.agent = options.agent; + this.options = options; + + // Set up state sync if enabled + if (options.syncState) { + this.setupStateSync(); + } + } + + /** + * Execute agent with AG-UI protocol + */ + async *execute( + messages: CloudflareMessage[], + context?: Record, + ): AsyncGenerator { + const runId = this.generateRunId(); + + try { + // Emit run started + yield CloudflareAGUIEvents.runStarted(runId, { + agentId: this.agent.id, + messageCount: messages.length, + ...context, + }); + + // Get initial state + if (this.options.syncState) { + const initialState = this.agent.getState(); + yield CloudflareAGUIEvents.stateSync(runId, initialState); + } + + // Check if agent has onChatMessage (AIChatAgent) + if (typeof (this.agent as any).onChatMessage === "function") { + yield* this.handleChatAgent(runId, messages, context); + } else { + // Handle as generic agent + yield* this.handleGenericAgent(runId, messages, context); + } + + // Emit final state if changed + if (this.options.syncState) { + const finalState = this.agent.getState(); + yield CloudflareAGUIEvents.stateSync(runId, finalState); + } + + // Emit run finished + yield CloudflareAGUIEvents.runFinished(runId); + } catch (error) { + yield CloudflareAGUIEvents.error(runId, error as Error); + throw error; + } + } + + /** + * Handle AIChatAgent (has onChatMessage method) + * Enhanced to support tool calls, interrupts, and proper event streaming + * Pattern inspired by LangGraph's handleSingleEvent + */ + private async *handleChatAgent( + runId: string, + messages: CloudflareMessage[], + context?: Record, + ): AsyncGenerator { + const lastMessage = messages[messages.length - 1]; + + if (!lastMessage || lastMessage.role !== "user") { + throw new Error("Last message must be from user"); + } + + // Reset message tracking + this.currentMessageId = null; + this.currentMessageType = null; + this.currentToolCallId = null; + this.currentToolCallName = null; + + // Stream from agent's onChatMessage + const agent = this.agent as any; + const stream = agent.onChatMessage(lastMessage.content, { + messages, + ...context, + }); + + for await (const chunk of stream) { + // Handle different chunk types + yield* this.handleSingleChunk(runId, chunk); + + // Check for state changes + if (this.options.syncState) { + const currentState = this.agent.getState(); + yield CloudflareAGUIEvents.stateSync(runId, currentState); + } + } + + // End any message in progress + if (this.currentMessageType === "text") { + yield CloudflareAGUIEvents.textMessageEnd(runId); + } else if (this.currentMessageType === "tool_call" && this.currentToolCallId) { + yield CloudflareAGUIEvents.toolCallEnd(runId, this.currentToolCallId); + } + this.currentMessageId = null; + this.currentMessageType = null; + this.currentToolCallId = null; + this.currentToolCallName = null; + } + + /** + * Handle a single chunk from the Agents SDK stream + * Detects and emits appropriate AG-UI events + */ + private async *handleSingleChunk( + runId: string, + chunk: any, + ): AsyncGenerator { + // Normalize chunk to our interface + const normalizedChunk = this.normalizeChunk(chunk); + + // Handle tool call start + if (normalizedChunk.type === "tool_call" && normalizedChunk.toolCall) { + const { id, name } = normalizedChunk.toolCall; + + // End any text message in progress + if (this.currentMessageType === "text") { + yield CloudflareAGUIEvents.textMessageEnd(runId); + } + + // Start tool call + yield CloudflareAGUIEvents.toolCallStart(runId, id, name); + + this.currentMessageId = this.generateMessageId(); + this.currentMessageType = "tool_call"; + this.currentToolCallId = id; + this.currentToolCallName = name; + } + + // Handle tool call arguments (delta) + if (normalizedChunk.type === "tool_call_delta" && normalizedChunk.toolCall) { + if (this.currentMessageType === "tool_call" && this.currentToolCallId) { + const argsChunk = normalizedChunk.toolCall.argsChunk || ""; + + yield CloudflareAGUIEvents.toolCallArgs( + runId, + this.currentToolCallId, + argsChunk + ); + } + } + + // Handle tool call end + if (normalizedChunk.type === "tool_call" && normalizedChunk.toolCall?.done) { + if (this.currentMessageType === "tool_call" && this.currentToolCallId) { + // If we have accumulated args, emit them as final args + if (normalizedChunk.toolCall.args) { + const argsString = typeof normalizedChunk.toolCall.args === "string" + ? normalizedChunk.toolCall.args + : JSON.stringify(normalizedChunk.toolCall.args); + + yield CloudflareAGUIEvents.toolCallArgs( + runId, + this.currentToolCallId, + argsString + ); + } + + yield CloudflareAGUIEvents.toolCallEnd(runId, this.currentToolCallId); + this.currentMessageType = null; + this.currentToolCallId = null; + this.currentToolCallName = null; + } + } + + // Handle tool call result + if (normalizedChunk.type === "tool_call_result" && normalizedChunk.toolCall) { + const result = typeof normalizedChunk.toolCall.args === "string" + ? normalizedChunk.toolCall.args + : JSON.stringify(normalizedChunk.toolCall.args); + + yield CloudflareAGUIEvents.toolCallResult( + runId, + normalizedChunk.toolCall.id, + result + ); + } + + // Handle interrupt (requiresApproval, human-in-the-loop) + if (normalizedChunk.type === "interrupt" && normalizedChunk.interrupt) { + yield CloudflareAGUIEvents.custom( + runId, + "OnInterrupt", + normalizedChunk.interrupt.value + ); + } + + // Handle text content + if (normalizedChunk.type === "text" && normalizedChunk.content) { + // End any tool call in progress + if (this.currentMessageType === "tool_call" && this.currentToolCallId) { + yield CloudflareAGUIEvents.toolCallEnd(runId, this.currentToolCallId); + this.currentToolCallId = null; + this.currentToolCallName = null; + } + + // Start text message if not in progress + if (this.currentMessageType !== "text") { + this.currentMessageId = this.generateMessageId(); + this.currentMessageType = "text"; + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + } + + // Emit text content + yield CloudflareAGUIEvents.textMessageContent(runId, normalizedChunk.content); + } + + // Handle state updates + if (normalizedChunk.type === "state" && normalizedChunk.state) { + yield CloudflareAGUIEvents.stateSync(runId, normalizedChunk.state); + } + } + + /** + * Normalize different chunk formats to our standard interface + * Agents SDK might return plain strings, objects, or structured chunks + */ + private normalizeChunk(chunk: any): AgentsSDKChunk { + // Plain string → text chunk + if (typeof chunk === "string") { + return { type: "text", content: chunk }; + } + + // Already normalized + if (chunk.type) { + return chunk as AgentsSDKChunk; + } + + // Object with tool_call field (OpenAI-style) + if (chunk.tool_call || chunk.toolCall) { + const toolCall = chunk.tool_call || chunk.toolCall; + return { + type: toolCall.done ? "tool_call" : "tool_call_delta", + toolCall: { + id: toolCall.id, + name: toolCall.name, + args: toolCall.args || toolCall.arguments, + argsChunk: toolCall.args_chunk || toolCall.argsChunk, + done: toolCall.done, + }, + }; + } + + // Object with interrupt field (requiresApproval) + if (chunk.interrupt || chunk.__interrupt__) { + const interrupt = chunk.interrupt || chunk.__interrupt__; + return { + type: "interrupt", + interrupt: { + name: interrupt.name || "requiresApproval", + value: interrupt.value || interrupt, + }, + }; + } + + // Object with content field + if (chunk.content !== undefined) { + return { type: "text", content: String(chunk.content) }; + } + + // Object with delta field + if (chunk.delta) { + return { type: "text", content: String(chunk.delta) }; + } + + // Default: try to stringify + return { type: "text", content: JSON.stringify(chunk) }; + } + + /** + * Generate a unique message ID + */ + private generateMessageId(): string { + return `msg-${Date.now()}-${Math.random().toString(36).substring(2, 9)}`; + } + + /** + * Handle generic Agent (manual message processing) + */ + private async *handleGenericAgent( + runId: string, + messages: CloudflareMessage[], + context?: Record, + ): AsyncGenerator { + // For generic agents, we need to manually process + // This would typically involve calling agent methods + + yield CloudflareAGUIEvents.textMessageStart(runId, "assistant"); + + const response = await this.processMessages(messages, context); + + yield CloudflareAGUIEvents.textMessageContent(runId, response); + yield CloudflareAGUIEvents.textMessageEnd(runId); + } + + /** + * Process messages through the agent + * Override this in subclasses for custom behavior + */ + protected async processMessages( + messages: CloudflareMessage[], + context?: Record, + ): Promise { + // Default implementation - override in subclass + const lastMessage = messages[messages.length - 1]; + return `Agent processed: ${lastMessage?.content || "No message"}`; + } + + /** + * Create WebSocket handler for real-time communication + */ + createWebSocketHandler(): (websocket: WebSocket, message: any) => Promise { + return async (websocket: WebSocket, message: any) => { + try { + const data = JSON.parse( + typeof message === "string" ? message : new TextDecoder().decode(message), + ); + + if (data.type === "chat" && data.messages) { + // Stream AG-UI events over WebSocket + for await (const event of this.execute(data.messages, data.context)) { + websocket.send(JSON.stringify(event)); + } + } else if (data.type === "getState") { + // Send current state + const state = this.agent.getState(); + websocket.send( + JSON.stringify({ + type: "STATE_SYNC", + data: { state }, + }), + ); + } + } catch (error) { + websocket.send( + JSON.stringify({ + type: "RUN_ERROR", + data: { error: error instanceof Error ? error.message : "Unknown error" }, + }), + ); + } + }; + } + + /** + * Set up state synchronization + */ + private setupStateSync(): void { + // Intercept setState calls to emit events + const originalSetState = this.agent.setState.bind(this.agent); + + this.agent.setState = async (state: Record) => { + await originalSetState(state); + + // Notify listeners + for (const listener of this.stateListeners) { + listener(state); + } + }; + } + + /** + * Subscribe to state changes + */ + onStateChange(callback: (state: any) => void): () => void { + this.stateListeners.add(callback); + + // Return unsubscribe function + return () => { + this.stateListeners.delete(callback); + }; + } + + /** + * Execute SQL query and emit as metadata event + */ + async executeSQLWithTracking(query: TemplateStringsArray, ...values: any[]): Promise { + if (!this.options.trackSQL) { + return this.agent.sql(query, ...values); + } + + const result = await this.agent.sql(query, ...values); + return result; + } + + private generateRunId(): string { + return `agent-run-${Date.now()}-${++this.runCounter}`; + } +} + +/** + * Helper function to create an Agents SDK adapter from an agent instance + */ +export function createAgentsSDKAdapter( + agent: CloudflareAgentsSDKAgent, + options?: Partial, +): CloudflareAgentsSDKAdapter { + return new CloudflareAgentsSDKAdapter({ + agent, + syncState: true, + trackSQL: false, + ...options, + }); +} + +/** + * Create a Worker fetch handler that uses Agents SDK + AG-UI + */ +export function createAgentsSDKWorkerHandler( + agentFactory: (state: DurableObjectState, env: any) => CloudflareAgentsSDKAgent, + options?: Partial, +): { + fetch: (request: Request, env: any, ctx: ExecutionContext) => Promise; +} { + return { + async fetch(request, env, ctx) { + // This would typically get the Durable Object instance + // For now, provide a basic HTTP handler structure + + if (request.method === "POST") { + try { + const body = (await request.json()) as { messages: CloudflareMessage[] }; + + // Create agent instance (implementation depends on Durable Objects setup) + // const id = env.AGENT_DO.idFromName('agent-1'); + // const stub = env.AGENT_DO.get(id); + // const agent = await stub.fetch(request); + + // For now, show the structure: + const responseText = JSON.stringify({ + error: "Agent instance creation requires Durable Objects setup", + hint: "See examples/agents-sdk-example.ts for full implementation", + }); + + return new Response(responseText, { + status: 501, + headers: { "Content-Type": "application/json" }, + }); + } catch (error) { + return new Response( + JSON.stringify({ + error: error instanceof Error ? error.message : "Unknown error", + }), + { + status: 500, + headers: { "Content-Type": "application/json" }, + }, + ); + } + } + + return new Response("Method not allowed", { status: 405 }); + }, + }; +} diff --git a/integrations/cloudflare/typescript/src/client.ts b/integrations/cloudflare/typescript/src/client.ts new file mode 100644 index 000000000..4643ecd77 --- /dev/null +++ b/integrations/cloudflare/typescript/src/client.ts @@ -0,0 +1,201 @@ +import { + CloudflareAIConfig, + CloudflareCompletionOptions, + CloudflareStreamChunk, + CloudflareMessage, +} from "./types"; +import { CloudflareStreamParser } from "./stream-parser"; + +export class CloudflareAIClient { + private config: CloudflareAIConfig; + private baseURL: string; + private headers: Record; + + constructor(config: CloudflareAIConfig) { + this.config = config; + + if (config.gatewayId) { + this.baseURL = + config.baseURL || + `https://gateway.ai.cloudflare.com/v1/${config.accountId}/${config.gatewayId}/workers-ai/v1`; + } else { + this.baseURL = + config.baseURL || `https://api.cloudflare.com/client/v4/accounts/${config.accountId}/ai/v1`; + } + + this.headers = { + Authorization: `Bearer ${config.apiToken}`, + "Content-Type": "application/json", + }; + } + + async complete(options: CloudflareCompletionOptions): Promise { + const response = await this.makeRequest(options); + + if (!response.ok) { + const error = await response.text(); + throw new Error(`Cloudflare AI error: ${error}`); + } + + const data = (await response.json()) as any; + return { + role: "assistant", + content: data.result?.response || data.response || "", + tool_calls: data.result?.tool_calls || data.tool_calls, + }; + } + + async *streamComplete( + options: CloudflareCompletionOptions, + ): AsyncGenerator { + const streamOptions = { ...options, stream: true }; + const response = await this.makeRequest(streamOptions); + + if (!response.ok) { + const error = await response.text(); + throw new Error(`Cloudflare AI error: ${error}`); + } + + // Check if response is streaming or not + const contentType = response.headers.get("content-type"); + + if (contentType?.includes("text/event-stream")) { + // SSE streaming response + if (!response.body) { + throw new Error("No response body from Cloudflare AI"); + } + const parser = new CloudflareStreamParser(); + yield* parser.parseStream(response.body); + } else { + // Non-streaming JSON response + const data = (await response.json()) as any; + + if (data.choices) { + // OpenAI-compatible format (from /chat/completions endpoint) + for (const choice of data.choices) { + if (choice.message?.content) { + yield { response: choice.message.content, done: false }; + } + } + yield { done: true, usage: data.usage }; + } else if (data.result) { + // Cloudflare Workers AI format (from /ai/run endpoint) + const content = data.result.response || ""; + if (content) { + yield { response: content, done: false }; + } + yield { + done: true, + usage: data.result.usage || { + prompt_tokens: 0, + completion_tokens: content.length / 4, // Estimate + total_tokens: content.length / 4, + }, + }; + } else { + console.warn("Unexpected response format:", data); + yield { done: true }; + } + } + } + + private async makeRequest(options: CloudflareCompletionOptions): Promise { + const model = options.model || this.config.model || "@cf/meta/llama-3.1-8b-instruct"; + const endpoint = `${this.baseURL}/chat/completions`; + + const body = { + model, + messages: options.messages, + temperature: options.temperature, + max_tokens: options.max_tokens, + top_p: options.top_p, + frequency_penalty: options.frequency_penalty, + presence_penalty: options.presence_penalty, + stream: options.stream || false, + tools: options.tools, + tool_choice: options.tool_choice, + }; + + // Remove undefined values + Object.keys(body).forEach((key) => { + if ((body as any)[key] === undefined) { + delete (body as any)[key]; + } + }); + + return fetch(endpoint, { + method: "POST", + headers: this.headers, + body: JSON.stringify(body), + }); + } + + async listModels(): Promise { + const response = await fetch(`${this.baseURL}/models`, { + headers: this.headers, + }); + + if (!response.ok) { + throw new Error(`Failed to list models: ${response.statusText}`); + } + + const data = (await response.json()) as any; + return data.result?.models || data.models || []; + } + + getModelCapabilities(model: string) { + const capabilities = { + "@cf/meta/llama-3.3-70b-instruct-fp8-fast": { + streaming: true, + functionCalling: true, + maxTokens: 4096, + contextWindow: 128000, + }, + "@cf/meta/llama-4-scout-17b-16e-instruct": { + streaming: true, + functionCalling: true, + maxTokens: 4096, + contextWindow: 128000, + }, + "@cf/mistralai/mistral-small-3.1-24b-instruct": { + streaming: true, + functionCalling: true, + maxTokens: 8192, + contextWindow: 32768, + }, + "@cf/nousresearch/hermes-2-pro-mistral-7b": { + streaming: true, + functionCalling: true, + maxTokens: 4096, + contextWindow: 32768, + }, + "@cf/meta/llama-3.1-70b-instruct": { + streaming: true, + functionCalling: false, + maxTokens: 4096, + contextWindow: 128000, + }, + "@cf/meta/llama-3.1-8b-instruct": { + streaming: true, + functionCalling: false, + maxTokens: 2048, + contextWindow: 128000, + }, + "@cf/mistral/mistral-7b-instruct-v0.2": { + streaming: true, + functionCalling: false, + maxTokens: 2048, + contextWindow: 32768, + }, + }; + + return ( + (capabilities as any)[model] || { + streaming: true, + functionCalling: false, + maxTokens: 2048, + contextWindow: 4096, + } + ); + } +} diff --git a/integrations/cloudflare/typescript/src/cloudflare-agent.ts b/integrations/cloudflare/typescript/src/cloudflare-agent.ts new file mode 100644 index 000000000..235ff1022 --- /dev/null +++ b/integrations/cloudflare/typescript/src/cloudflare-agent.ts @@ -0,0 +1,323 @@ +import { AbstractAgent, type RunAgentInput, type BaseEvent } from "@ag-ui/client"; +import { Observable, Subscriber } from "rxjs"; +import { v4 as uuidv4 } from "uuid"; +import { CloudflareAIClient } from "./client"; +import type { CloudflareAIConfig, CloudflareMessage, CloudflareCompletionOptions } from "./types"; +import { + EventType, + type TextMessageStartEvent, + type TextMessageContentEvent, + type TextMessageEndEvent, + type ToolCallStartEvent, + type ToolCallArgsEvent, + type ToolCallEndEvent, + type RunStartedEvent, + type RunFinishedEvent, +} from "@ag-ui/core"; + +export interface CloudflareAgentConfig extends CloudflareAIConfig { + systemPrompt?: string; + streamingEnabled?: boolean; +} + +/** + * Base agent class for Cloudflare Workers AI integration with AG-UI protocol. + * + * This class properly extends AbstractAgent and emits events conforming to the + * AG-UI protocol specifications. + */ +export class CloudflareAgent extends AbstractAgent { + protected client: CloudflareAIClient; + protected config: CloudflareAgentConfig; + + constructor(config: CloudflareAgentConfig) { + super({ + description: `Cloudflare Workers AI Agent using ${config.model}`, + }); + this.config = config; + this.client = new CloudflareAIClient(config); + } + + /** + * Implements the abstract run() method from AbstractAgent. + * Returns an Observable as required by the AG-UI protocol. + */ + run(input: RunAgentInput): Observable { + return new Observable((subscriber) => { + this.executeRun(input, subscriber) + .catch((error) => { + subscriber.error(error); + }) + .finally(() => { + subscriber.complete(); + }); + }); + } + + /** + * Main execution logic that streams events to the subscriber. + */ + protected async executeRun( + input: RunAgentInput, + subscriber: Subscriber + ): Promise { + const messageId = this.generateMessageId(); + + // Emit RUN_STARTED + const runStarted: RunStartedEvent = { + type: EventType.RUN_STARTED, + threadId: input.threadId, + runId: input.runId, + timestamp: Date.now(), + }; + subscriber.next(runStarted); + + // Convert AG-UI messages to Cloudflare format + const messages = this.convertMessagesToCloudflare(input.messages); + + // Add system prompt if configured + const allMessages = this.config.systemPrompt + ? [{ role: "system" as const, content: this.config.systemPrompt }, ...messages] + : messages; + + // Prepare completion options + const completionOptions: CloudflareCompletionOptions = { + messages: allMessages, + model: this.config.model, + stream: this.config.streamingEnabled !== false, + tools: input.tools && input.tools.length > 0 ? this.convertTools(input.tools) : undefined, + }; + + // Stream from Cloudflare Workers AI + if (this.config.streamingEnabled !== false) { + await this.handleStreaming(messageId, completionOptions, subscriber); + } else { + await this.handleNonStreaming(messageId, completionOptions, subscriber); + } + + // Emit RUN_FINISHED + const runFinished: RunFinishedEvent = { + type: EventType.RUN_FINISHED, + threadId: input.threadId, + runId: input.runId, + timestamp: Date.now(), + }; + subscriber.next(runFinished); + } + + /** + * Handles streaming completion from Cloudflare Workers AI. + */ + protected async handleStreaming( + messageId: string, + options: CloudflareCompletionOptions, + subscriber: Subscriber + ): Promise { + let messageStarted = false; + let accumulatedContent = ""; + const toolCallsInProgress = new Map(); + + for await (const chunk of this.client.streamComplete(options)) { + // Handle text content + if (chunk.response && chunk.response.length > 0) { + if (!messageStarted) { + // Emit TEXT_MESSAGE_START + const textStart: TextMessageStartEvent = { + type: EventType.TEXT_MESSAGE_START, + messageId, + role: "assistant", + timestamp: Date.now(), + }; + subscriber.next(textStart); + messageStarted = true; + } + + // Emit TEXT_MESSAGE_CONTENT + const textContent: TextMessageContentEvent = { + type: EventType.TEXT_MESSAGE_CONTENT, + messageId, + delta: chunk.response, + timestamp: Date.now(), + }; + subscriber.next(textContent); + + accumulatedContent += chunk.response; + } + + // Handle tool calls + if (chunk.tool_calls) { + for (const toolCall of chunk.tool_calls) { + if (!toolCallsInProgress.has(toolCall.id)) { + // New tool call - emit TOOL_CALL_START + const toolStart: ToolCallStartEvent = { + type: EventType.TOOL_CALL_START, + toolCallId: toolCall.id, + toolCallName: toolCall.function.name, + parentMessageId: messageId, + timestamp: Date.now(), + }; + subscriber.next(toolStart); + toolCallsInProgress.set(toolCall.id, ""); + } + + // Stream tool call arguments - emit TOOL_CALL_ARGS + if (toolCall.function.arguments) { + // Parse arguments if they're a JSON string + let argsToEmit = toolCall.function.arguments; + if (typeof argsToEmit === 'string') { + try { + argsToEmit = JSON.parse(argsToEmit); + } catch (e) { + // If parsing fails, it might be a partial JSON string being streamed + // Keep it as a string for now + } + } + + const toolArgs: ToolCallArgsEvent = { + type: EventType.TOOL_CALL_ARGS, + toolCallId: toolCall.id, + delta: argsToEmit, + timestamp: Date.now(), + }; + subscriber.next(toolArgs); + } + } + } + + // Handle completion + if (chunk.done) { + // End text message if it was started + if (messageStarted) { + const textEnd: TextMessageEndEvent = { + type: EventType.TEXT_MESSAGE_END, + messageId, + timestamp: Date.now(), + }; + subscriber.next(textEnd); + } + + // End all tool calls + for (const [toolCallId] of toolCallsInProgress) { + const toolEnd: ToolCallEndEvent = { + type: EventType.TOOL_CALL_END, + toolCallId, + timestamp: Date.now(), + }; + subscriber.next(toolEnd); + } + } + } + } + + /** + * Handles non-streaming completion from Cloudflare Workers AI. + */ + protected async handleNonStreaming( + messageId: string, + options: CloudflareCompletionOptions, + subscriber: Subscriber + ): Promise { + const response = await this.client.complete(options); + + // Emit text message events + if (response.content) { + const textStart: TextMessageStartEvent = { + type: EventType.TEXT_MESSAGE_START, + messageId, + role: "assistant", + timestamp: Date.now(), + }; + subscriber.next(textStart); + + const textContent: TextMessageContentEvent = { + type: EventType.TEXT_MESSAGE_CONTENT, + messageId, + delta: response.content, + timestamp: Date.now(), + }; + subscriber.next(textContent); + + const textEnd: TextMessageEndEvent = { + type: EventType.TEXT_MESSAGE_END, + messageId, + timestamp: Date.now(), + }; + subscriber.next(textEnd); + } + + // Emit tool call events + if (response.tool_calls) { + for (const toolCall of response.tool_calls) { + const toolStart: ToolCallStartEvent = { + type: EventType.TOOL_CALL_START, + toolCallId: toolCall.id, + toolCallName: toolCall.function.name, + parentMessageId: messageId, + timestamp: Date.now(), + }; + subscriber.next(toolStart); + + // Parse arguments if they're a JSON string + let argsToEmit = toolCall.function.arguments; + if (typeof argsToEmit === 'string') { + try { + argsToEmit = JSON.parse(argsToEmit); + } catch (e) { + // Failed to parse - use string as-is + } + } + + const toolArgs: ToolCallArgsEvent = { + type: EventType.TOOL_CALL_ARGS, + toolCallId: toolCall.id, + delta: argsToEmit, + timestamp: Date.now(), + }; + subscriber.next(toolArgs); + + const toolEnd: ToolCallEndEvent = { + type: EventType.TOOL_CALL_END, + toolCallId: toolCall.id, + timestamp: Date.now(), + }; + subscriber.next(toolEnd); + } + } + } + + /** + * Converts AG-UI messages to Cloudflare format. + */ + protected convertMessagesToCloudflare(messages: any[]): CloudflareMessage[] { + return messages + .filter( + (msg) => msg.role === "user" || msg.role === "assistant" || msg.role === "system" + ) + .map((msg) => ({ + role: msg.role as "user" | "assistant" | "system", + content: msg.content || "", + })); + } + + /** + * Converts AG-UI tools to Cloudflare/OpenAI format. + * For the /chat/completions endpoint, tools need to be wrapped in a function object. + */ + protected convertTools(tools: any[]): any[] { + return tools.map((tool) => ({ + type: "function", + function: { + name: tool.name, + description: tool.description, + parameters: tool.parameters, + }, + })); + } + + /** + * Generates a unique message ID for AG-UI events. + */ + protected generateMessageId(): string { + return uuidv4(); + } +} diff --git a/integrations/cloudflare/typescript/src/cloudflare-utils.ts b/integrations/cloudflare/typescript/src/cloudflare-utils.ts new file mode 100644 index 000000000..9e357783c --- /dev/null +++ b/integrations/cloudflare/typescript/src/cloudflare-utils.ts @@ -0,0 +1,207 @@ +/** + * Cloudflare Infrastructure Utilities + * + * Handles Cloudflare-specific headers, proxy detection, and request normalization + * for AG-UI instances running behind Cloudflare CDN or on Cloudflare Workers. + */ + +export interface CloudflareHeaders { + /** Real client IP address (most reliable) */ + "cf-connecting-ip"?: string; + /** Cloudflare Ray ID for request tracking */ + "cf-ray"?: string; + /** Visitor's country code */ + "cf-ipcountry"?: string; + /** True if request came through Cloudflare */ + "cf-visitor"?: string; + /** Original protocol (http/https) */ + "x-forwarded-proto"?: string; + /** Chain of proxy IPs */ + "x-forwarded-for"?: string; + /** True Client IP (Enterprise only) */ + "true-client-ip"?: string; +} + +export interface NormalizedRequest { + /** Real client IP address */ + clientIp: string; + /** Original protocol */ + protocol: "http" | "https"; + /** Cloudflare Ray ID (if available) */ + rayId?: string; + /** Client country (if available) */ + country?: string; + /** Whether request came through Cloudflare */ + isBehindCloudflare: boolean; + /** Original headers */ + headers: Record; +} + +/** + * Detect if a request is behind Cloudflare proxy + */ +export function isBehindCloudflare(headers: Record): boolean { + return !!(headers["cf-ray"] || headers["cf-connecting-ip"] || headers["cf-visitor"]); +} + +/** + * Extract real client IP from Cloudflare headers + * Priority: CF-Connecting-IP > True-Client-IP > X-Forwarded-For > fallback + */ +export function getClientIP(headers: Record, fallbackIp = "unknown"): string { + // Priority 1: CF-Connecting-IP (most reliable) + if (headers["cf-connecting-ip"]) { + return headers["cf-connecting-ip"]; + } + + // Priority 2: True-Client-IP (Enterprise feature) + if (headers["true-client-ip"]) { + return headers["true-client-ip"]; + } + + // Priority 3: X-Forwarded-For (first IP in chain) + if (headers["x-forwarded-for"]) { + const ips = headers["x-forwarded-for"].split(","); + return ips[0].trim(); + } + + return fallbackIp; +} + +/** + * Get original protocol from Cloudflare headers + */ +export function getProtocol(headers: Record): "http" | "https" { + // Check CF-Visitor JSON + if (headers["cf-visitor"]) { + try { + const visitor = JSON.parse(headers["cf-visitor"]); + return visitor.scheme === "https" ? "https" : "http"; + } catch { + // Invalid JSON, continue + } + } + + // Check X-Forwarded-Proto + if (headers["x-forwarded-proto"]) { + return headers["x-forwarded-proto"] === "https" ? "https" : "http"; + } + + // Default to https (Cloudflare enforces HTTPS) + return "https"; +} + +/** + * Normalize request from any source to a standard format + * Works with Node.js Request, Cloudflare Workers Request, or plain headers + */ +export function normalizeRequest( + request: Request | { headers: Record }, + options?: { fallbackIp?: string }, +): NormalizedRequest { + // Extract headers (works with both Request and plain object) + const headers: Record = {}; + + if ( + request instanceof Request || + ("headers" in request && typeof request.headers.get === "function") + ) { + // Request object (Cloudflare Workers or Fetch API) + const reqHeaders = (request as Request).headers; + reqHeaders.forEach((value, key) => { + headers[key.toLowerCase()] = value; + }); + } else if ("headers" in request) { + // Plain object with headers + Object.entries(request.headers).forEach(([key, value]) => { + if (typeof value === "string") { + headers[key.toLowerCase()] = value; + } + }); + } + + const clientIp = getClientIP(headers, options?.fallbackIp); + const protocol = getProtocol(headers); + const isBehind = isBehindCloudflare(headers); + + return { + clientIp, + protocol, + rayId: headers["cf-ray"], + country: headers["cf-ipcountry"], + isBehindCloudflare: isBehind, + headers, + }; +} + +/** + * Check if WebSocket upgrade is properly formatted for Cloudflare + */ +export function isWebSocketUpgrade(headers: Record): boolean { + const upgrade = headers["upgrade"]?.toLowerCase(); + const connection = headers["connection"]?.toLowerCase(); + + return upgrade === "websocket" && connection?.includes("upgrade"); +} + +/** + * Validate WebSocket upgrade request for Cloudflare compatibility + * Returns error message if invalid, undefined if valid + */ +export function validateWebSocketUpgrade(headers: Record): string | undefined { + if (!isWebSocketUpgrade(headers)) { + return "Invalid WebSocket upgrade: Missing Upgrade: websocket header"; + } + + // Cloudflare requires Sec-WebSocket-Key + if (!headers["sec-websocket-key"]) { + return "Invalid WebSocket upgrade: Missing Sec-WebSocket-Key"; + } + + // Cloudflare requires Sec-WebSocket-Version: 13 + if (headers["sec-websocket-version"] !== "13") { + return "Invalid WebSocket upgrade: Sec-WebSocket-Version must be 13"; + } + + return undefined; +} + +/** + * Add Cloudflare-specific logging context + */ +export function getLoggingContext(normalized: NormalizedRequest): Record { + return { + clientIp: normalized.clientIp, + protocol: normalized.protocol, + rayId: normalized.rayId, + country: normalized.country, + isBehindCloudflare: normalized.isBehindCloudflare, + }; +} + +/** + * Create response headers compatible with Cloudflare + */ +export function createResponseHeaders(options?: { + /** Enable CORS */ + cors?: boolean; + /** Custom CORS origin */ + corsOrigin?: string; + /** Cache control */ + cacheControl?: string; +}): Record { + const headers: Record = { + "Content-Type": "text/event-stream", + "Cache-Control": options?.cacheControl || "no-cache, no-transform", + Connection: "keep-alive", + "X-Accel-Buffering": "no", // Disable nginx buffering + }; + + if (options?.cors) { + headers["Access-Control-Allow-Origin"] = options.corsOrigin || "*"; + headers["Access-Control-Allow-Methods"] = "GET, POST, OPTIONS"; + headers["Access-Control-Allow-Headers"] = "Content-Type, Authorization"; + } + + return headers; +} diff --git a/integrations/cloudflare/typescript/src/copilotkit-adapter.ts b/integrations/cloudflare/typescript/src/copilotkit-adapter.ts new file mode 100644 index 000000000..cab1103b5 --- /dev/null +++ b/integrations/cloudflare/typescript/src/copilotkit-adapter.ts @@ -0,0 +1,22 @@ +import { CloudflareAGUIAdapter } from "./adapter"; +import type { CloudflareAGUIAdapterOptions } from "./adapter"; + +/** + * CopilotKit-compatible adapter for Cloudflare Workers AI + * This extends CloudflareAGUIAdapter to work seamlessly with CopilotKit + */ +export class CopilotKitCloudflareAdapter extends CloudflareAGUIAdapter { + constructor(options: CloudflareAGUIAdapterOptions) { + super(options); + } + + // The process method is already implemented in the base CloudflareAGUIAdapter class + // This class exists to ensure proper TypeScript compatibility with CopilotKit +} + +/** + * Factory function to create a CopilotKit-compatible Cloudflare adapter + */ +export function createCopilotKitCloudflareAdapter(options: CloudflareAGUIAdapterOptions) { + return new CopilotKitCloudflareAdapter(options); +} diff --git a/integrations/cloudflare/typescript/src/events.ts b/integrations/cloudflare/typescript/src/events.ts new file mode 100644 index 000000000..a50fd2586 --- /dev/null +++ b/integrations/cloudflare/typescript/src/events.ts @@ -0,0 +1,179 @@ +export enum EventType { + TEXT_MESSAGE_START = "TEXT_MESSAGE_START", + TEXT_MESSAGE_CONTENT = "TEXT_MESSAGE_CONTENT", + TEXT_MESSAGE_END = "TEXT_MESSAGE_END", + TOOL_CALL_START = "TOOL_CALL_START", + TOOL_CALL_ARGS = "TOOL_CALL_ARGS", + TOOL_CALL_END = "TOOL_CALL_END", + TOOL_CALL_RESULT = "TOOL_CALL_RESULT", + RUN_STARTED = "RUN_STARTED", + RUN_FINISHED = "RUN_FINISHED", + RUN_ERROR = "RUN_ERROR", + STEP_STARTED = "STEP_STARTED", + STEP_FINISHED = "STEP_FINISHED", + STATE_SYNC = "STATE_SYNC", + METADATA = "METADATA", + PROGRESS = "PROGRESS", + CUSTOM = "CUSTOM", +} + +export interface BaseEvent { + type: EventType; + timestamp?: number; + rawEvent?: any; +} + +export interface AGUIEvent extends BaseEvent { + runId?: string; + data?: any; + metadata?: Record; +} + +export class CloudflareAGUIEvents { + static runStarted(runId: string, metadata?: Record): AGUIEvent { + return { + type: EventType.RUN_STARTED, + runId, + timestamp: Date.now(), + metadata, + }; + } + + static runFinished(runId: string, metadata?: Record): AGUIEvent { + return { + type: EventType.RUN_FINISHED, + runId, + timestamp: Date.now(), + metadata, + }; + } + + static textMessageStart(runId: string, role: string): AGUIEvent { + return { + type: EventType.TEXT_MESSAGE_START, + runId, + timestamp: Date.now(), + data: { role }, + }; + } + + static textMessageContent(runId: string, delta: string): AGUIEvent { + return { + type: EventType.TEXT_MESSAGE_CONTENT, + runId, + timestamp: Date.now(), + data: { delta }, + }; + } + + static textMessageEnd(runId: string): AGUIEvent { + return { + type: EventType.TEXT_MESSAGE_END, + runId, + timestamp: Date.now(), + }; + } + + static toolCallStart(runId: string, toolCallId: string, toolName: string): AGUIEvent { + return { + type: EventType.TOOL_CALL_START, + runId, + timestamp: Date.now(), + data: { toolCallId, toolName }, + }; + } + + static toolCallArgs(runId: string, toolCallId: string, args: string): AGUIEvent { + return { + type: EventType.TOOL_CALL_ARGS, + runId, + timestamp: Date.now(), + data: { toolCallId, args }, + }; + } + + static toolCallEnd(runId: string, toolCallId: string): AGUIEvent { + return { + type: EventType.TOOL_CALL_END, + runId, + timestamp: Date.now(), + data: { toolCallId }, + }; + } + + static toolCallResult(runId: string, toolCallId: string, result: string): AGUIEvent { + return { + type: EventType.TOOL_CALL_RESULT, + runId, + timestamp: Date.now(), + data: { toolCallId, result }, + }; + } + + static error(runId: string, error: Error): AGUIEvent { + return { + type: EventType.RUN_ERROR, + runId, + timestamp: Date.now(), + data: { + message: error.message, + stack: error.stack, + name: error.name, + }, + }; + } + + static stepStarted(runId: string, stepName: string): AGUIEvent { + return { + type: EventType.STEP_STARTED, + runId, + timestamp: Date.now(), + data: { stepName }, + }; + } + + static stepFinished(runId: string, stepName: string): AGUIEvent { + return { + type: EventType.STEP_FINISHED, + runId, + timestamp: Date.now(), + data: { stepName }, + }; + } + + static stateSync(runId: string, state: Record): AGUIEvent { + return { + type: EventType.STATE_SYNC, + runId, + timestamp: Date.now(), + data: { state }, + }; + } + + static metadata(runId: string, metadata: Record): AGUIEvent { + return { + type: EventType.METADATA, + runId, + timestamp: Date.now(), + data: metadata, + }; + } + + static progress(runId: string, progress: number, message?: string): AGUIEvent { + return { + type: EventType.PROGRESS, + runId, + timestamp: Date.now(), + data: { progress, message }, + }; + } + + static custom(runId: string, name: string, value: any): AGUIEvent { + return { + type: EventType.CUSTOM, + runId, + timestamp: Date.now(), + data: { name, value }, + }; + } +} diff --git a/integrations/cloudflare/typescript/src/http-agent-wrapper.ts b/integrations/cloudflare/typescript/src/http-agent-wrapper.ts new file mode 100644 index 000000000..c072fdc44 --- /dev/null +++ b/integrations/cloudflare/typescript/src/http-agent-wrapper.ts @@ -0,0 +1,34 @@ +import { HttpAgent } from "@ag-ui/client"; +import { RunAgentInput, BaseEvent } from "@ag-ui/core"; +import { Observable } from "rxjs"; +import { v4 as uuidv4 } from "uuid"; + +/** + * Wrapper for HttpAgent that ensures threadId is always present + * This fixes CopilotKit compatibility issues where threadId might be undefined + */ +export class CloudflareHttpAgentWrapper extends HttpAgent { + run(input: any): Observable { + // Ensure threadId is always present BEFORE validation + const safeInput: RunAgentInput = { + threadId: input?.threadId || `thread-${uuidv4()}`, + runId: input?.runId || `run-${uuidv4()}`, + state: input?.state || {}, + messages: input?.messages || [], + tools: input?.tools || [], + context: input?.context || [], + forwardedProps: input?.forwardedProps || {}, + }; + + return super.run(safeInput); + } + + // Override runAgent as well to catch it at a higher level + async runAgent(parameters?: any, subscriber?: any): Promise { + if (parameters && !parameters.threadId) { + parameters.threadId = `thread-${uuidv4()}`; + } + + return super.runAgent(parameters, subscriber); + } +} diff --git a/integrations/cloudflare/typescript/src/index.ts b/integrations/cloudflare/typescript/src/index.ts new file mode 100644 index 000000000..5ca85da76 --- /dev/null +++ b/integrations/cloudflare/typescript/src/index.ts @@ -0,0 +1,85 @@ +export { CloudflareAGUIAdapter } from "./adapter"; +export { CloudflareAIClient } from "./client"; +export { CloudflareProviders } from "./providers"; +export { CloudflareAGUIEvents } from "./events"; +export { CloudflareStreamParser } from "./stream-parser"; +export { + CopilotKitCloudflareAdapter, + createCopilotKitCloudflareAdapter, +} from "./copilotkit-adapter"; +export { CloudflareHttpAgent } from "./agent"; +export { CloudflareAgent, type CloudflareAgentConfig } from "./cloudflare-agent"; +export { CloudflareHttpAgentWrapper } from "./http-agent-wrapper"; + +// Infrastructure Support (NEW!) +export { + handleCloudflareWorker, + createCloudflareWorkerHandler, + handleWebSocketConnection, + type WorkersAdapterOptions, + type WorkersEnv, +} from "./workers-adapter"; + +export { + isBehindCloudflare, + getClientIP, + getProtocol, + normalizeRequest, + isWebSocketUpgrade, + validateWebSocketUpgrade, + getLoggingContext, + createResponseHeaders, + type CloudflareHeaders, + type NormalizedRequest, +} from "./cloudflare-utils"; + +// Cloudflare Agents SDK Integration (NEW!) +export { + CloudflareAgentsSDKAdapter, + createAgentsSDKAdapter, + createAgentsSDKWorkerHandler, + type CloudflareAgentsSDKAgent, + type AgentsSDKAdapterOptions, +} from "./agents-sdk-adapter"; + +export type { + CloudflareAIConfig, + CloudflareModel, + CloudflareMessage, + CloudflareCompletionOptions, + CloudflareStreamChunk, + Tool, + ToolCall, + ModelCapabilities, +} from "./types"; + +export type { CloudflareAGUIAdapterOptions, AGUIProtocol, StreamableResult } from "./adapter"; +export type { ProviderConfig } from "./providers"; + +// Re-export AG-UI types +export { EventType, type AGUIEvent, type BaseEvent } from "./events"; + +// Export model constants +export const CLOUDFLARE_MODELS = { + LLAMA_3_1_8B: "@cf/meta/llama-3.1-8b-instruct" as const, + LLAMA_3_1_70B: "@cf/meta/llama-3.1-70b-instruct" as const, + LLAMA_3_3_70B_FP8: "@cf/meta/llama-3.3-70b-instruct-fp8-fast" as const, + LLAMA_4_SCOUT_17B: "@cf/meta/llama-4-scout-17b-16e-instruct" as const, + MISTRAL_SMALL_24B: "@cf/mistralai/mistral-small-3.1-24b-instruct" as const, + HERMES_2_PRO_7B: "@cf/nousresearch/hermes-2-pro-mistral-7b" as const, + LLAMA_2_7B: "@cf/meta/llama-2-7b-chat-int8" as const, + MISTRAL_7B: "@cf/mistral/mistral-7b-instruct-v0.2" as const, + GEMMA_7B: "@cf/google/gemma-7b-it" as const, + QWEN_14B: "@cf/qwen/qwen1.5-14b-chat-awq" as const, + PHI_2: "@cf/microsoft/phi-2" as const, + DEEPSEEK_MATH_7B: "@cf/deepseek-ai/deepseek-math-7b-instruct" as const, + DEEPSEEK_CODER_6B: "@cf/thebloke/deepseek-coder-6.7b-instruct-awq" as const, +} as const; + +// Convenience factory function +import type { CloudflareAIConfig } from "./types"; +import { CloudflareAGUIAdapter } from "./adapter"; + +export function createCloudflareAdapter(config: CloudflareAIConfig) { + return new CloudflareAGUIAdapter(config); +} diff --git a/integrations/cloudflare/typescript/src/local-agent.ts b/integrations/cloudflare/typescript/src/local-agent.ts new file mode 100644 index 000000000..de69af655 --- /dev/null +++ b/integrations/cloudflare/typescript/src/local-agent.ts @@ -0,0 +1,47 @@ +import { AbstractAgent, type BaseEvent, type RunAgentInput } from "@ag-ui/client"; +import { Observable, Subscriber } from "rxjs"; +import { CloudflareAGUIAdapter } from "./adapter"; +import type { CloudflareAIConfig } from "./types"; + +/** + * Local Cloudflare agent that runs in-process (no HTTP server required) + * Use this for the dojo or other in-process scenarios + */ +export class CloudflareLocalAgent extends AbstractAgent { + private adapter: CloudflareAGUIAdapter; + + constructor(config: CloudflareAIConfig) { + super({}); + this.adapter = new CloudflareAGUIAdapter(config); + } + + run(input: RunAgentInput): Observable { + return new Observable((subscriber: Subscriber) => { + const execute = async () => { + try { + // Convert AG-UI client messages to adapter format + const messages = input.messages.map((msg) => ({ + role: msg.role as "user" | "assistant" | "system", + content: msg.content || "", + })); + + // Execute the adapter and stream events + for await (const event of this.adapter.execute(messages, input.context)) { + // Forward adapter events as client events + subscriber.next({ + ...event, + threadId: input.threadId, + runId: input.runId, + } as BaseEvent); + } + + subscriber.complete(); + } catch (error) { + subscriber.error(error); + } + }; + + execute(); + }); + } +} diff --git a/integrations/cloudflare/typescript/src/providers.ts b/integrations/cloudflare/typescript/src/providers.ts new file mode 100644 index 000000000..e6c4a443e --- /dev/null +++ b/integrations/cloudflare/typescript/src/providers.ts @@ -0,0 +1,98 @@ +import { CloudflareAGUIAdapter, CloudflareAGUIAdapterOptions } from "./adapter"; +import { CloudflareModel } from "./types"; + +export interface ProviderConfig extends Omit { + model?: CloudflareModel; +} + +export class CloudflareProviders { + static llama3_8b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/meta/llama-3.1-8b-instruct", + }); + } + + static llama3_70b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/meta/llama-3.1-70b-instruct", + }); + } + + static llama3_3_70b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/meta/llama-3.3-70b-instruct", + }); + } + + static mistral7b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/mistral/mistral-7b-instruct-v0.2", + }); + } + + static gemma7b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/google/gemma-7b-it", + }); + } + + static qwen14b(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/qwen/qwen1.5-14b-chat-awq", + }); + } + + static phi2(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/microsoft/phi-2", + }); + } + + static deepseekMath(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/deepseek-ai/deepseek-math-7b-instruct", + }); + } + + static deepseekCoder(config: ProviderConfig) { + return new CloudflareAGUIAdapter({ + ...config, + model: config.model || "@cf/thebloke/deepseek-coder-6.7b-instruct-awq", + }); + } + + static auto(config: ProviderConfig) { + // Auto-select based on capabilities needed + const needsFunctionCalling = config.tools && config.tools.length > 0; + + if (needsFunctionCalling) { + // Only Llama 3.3 70B supports function calling + return CloudflareProviders.llama3_3_70b(config); + } + + // Default to fast 8B model for general use + return CloudflareProviders.llama3_8b(config); + } + + static createWithGateway( + accountId: string, + apiToken: string, + gatewayId: string, + model?: CloudflareModel, + ) { + return new CloudflareAGUIAdapter({ + accountId, + apiToken, + gatewayId, + model: model || "@cf/meta/llama-3.1-8b-instruct", + }); + } +} diff --git a/integrations/cloudflare/typescript/src/stream-parser.ts b/integrations/cloudflare/typescript/src/stream-parser.ts new file mode 100644 index 000000000..41a2733bc --- /dev/null +++ b/integrations/cloudflare/typescript/src/stream-parser.ts @@ -0,0 +1,109 @@ +import { createParser, ParsedEvent, ReconnectInterval } from "eventsource-parser"; +import { CloudflareStreamChunk } from "./types"; + +export class CloudflareStreamParser { + private parser; + private buffer: string = ""; + + constructor() { + this.parser = createParser(this.onParse.bind(this)); + } + + private onParse(event: ParsedEvent | ReconnectInterval) { + if (event.type === "event") { + try { + const data = JSON.parse(event.data); + return data as CloudflareStreamChunk; + } catch (error) { + console.error("Failed to parse stream chunk:", error); + } + } + } + + async *parseStream(stream: ReadableStream): AsyncGenerator { + const reader = stream.getReader(); + const decoder = new TextDecoder(); + + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + const chunk = decoder.decode(value, { stream: true }); + const lines = chunk.split("\n"); + + for (const line of lines) { + if (line.startsWith("data: ")) { + const data = line.slice(6).trim(); + if (data === "[DONE]") { + // Signal completion + yield { done: true }; + return; + } + if (data) { + try { + const parsed = JSON.parse(data); + + // Handle OpenAI streaming format + if (parsed.choices?.[0]?.delta) { + const delta = parsed.choices[0].delta; + if (delta.content) { + yield { response: delta.content, done: false }; + } + if (delta.tool_calls) { + yield { tool_calls: delta.tool_calls, done: false }; + } + } else if (parsed.response) { + // Handle Cloudflare format + yield { response: parsed.response, done: false }; + } + + // Check for completion + if (parsed.choices?.[0]?.finish_reason) { + yield { + done: true, + usage: parsed.usage, + }; + } + } catch (error) { + // Handle partial JSON in buffer + this.buffer += data; + try { + const parsed = JSON.parse(this.buffer); + if (parsed.choices?.[0]?.delta?.content) { + yield { response: parsed.choices[0].delta.content, done: false }; + } + this.buffer = ""; + } catch { + // Still incomplete, continue buffering + } + } + } + } + } + } + } finally { + reader.releaseLock(); + } + } + + parseSSE(text: string): CloudflareStreamChunk[] { + const chunks: CloudflareStreamChunk[] = []; + const lines = text.split("\n"); + + for (const line of lines) { + if (line.startsWith("data: ")) { + const data = line.slice(6); + if (data !== "[DONE]") { + try { + chunks.push(JSON.parse(data)); + } catch (error) { + console.error("Failed to parse SSE chunk:", error); + } + } + } + } + + return chunks; + } +} diff --git a/integrations/cloudflare/typescript/src/types.ts b/integrations/cloudflare/typescript/src/types.ts new file mode 100644 index 000000000..50c24070a --- /dev/null +++ b/integrations/cloudflare/typescript/src/types.ts @@ -0,0 +1,81 @@ +import { z } from "zod"; + +export const CloudflareModelSchema = z.enum([ + "@cf/meta/llama-3.1-8b-instruct", + "@cf/meta/llama-3.1-70b-instruct", + "@cf/meta/llama-3.3-70b-instruct", + "@cf/meta/llama-2-7b-chat-int8", + "@cf/mistral/mistral-7b-instruct-v0.2", + "@cf/google/gemma-7b-it", + "@cf/qwen/qwen1.5-14b-chat-awq", + "@cf/microsoft/phi-2", + "@cf/deepseek-ai/deepseek-math-7b-instruct", + "@cf/thebloke/deepseek-coder-6.7b-instruct-awq", +]); + +export type CloudflareModel = z.infer; + +export interface CloudflareAIConfig { + accountId: string; + apiToken: string; + model?: CloudflareModel; + baseURL?: string; + gatewayId?: string; +} + +export interface CloudflareMessage { + role: "system" | "user" | "assistant" | "tool" | "function"; + content: string; + tool_calls?: ToolCall[]; + tool_call_id?: string; + name?: string; +} + +export interface ToolCall { + id: string; + type: "function"; + function: { + name: string; + arguments: string; + }; +} + +export interface CloudflareStreamChunk { + response?: string; + tool_calls?: ToolCall[]; + done?: boolean; + usage?: { + prompt_tokens: number; + completion_tokens: number; + total_tokens: number; + }; +} + +export interface CloudflareCompletionOptions { + messages: CloudflareMessage[]; + model?: CloudflareModel; + temperature?: number; + max_tokens?: number; + top_p?: number; + frequency_penalty?: number; + presence_penalty?: number; + stream?: boolean; + tools?: Tool[]; + tool_choice?: "auto" | "none" | { type: "function"; function: { name: string } }; +} + +export interface Tool { + type: "function"; + function: { + name: string; + description?: string; + parameters?: Record; + }; +} + +export interface ModelCapabilities { + streaming: boolean; + functionCalling: boolean; + maxTokens: number; + contextWindow: number; +} diff --git a/integrations/cloudflare/typescript/src/workers-adapter.ts b/integrations/cloudflare/typescript/src/workers-adapter.ts new file mode 100644 index 000000000..f8abb7dce --- /dev/null +++ b/integrations/cloudflare/typescript/src/workers-adapter.ts @@ -0,0 +1,289 @@ +/** + * Cloudflare Workers Runtime Adapter + * + * Adapts AG-UI to work natively with Cloudflare Workers fetch API + * instead of Node.js Request/Response objects. + */ + +import { CloudflareAGUIAdapter, CloudflareAGUIAdapterOptions } from "./adapter"; +import { + normalizeRequest, + createResponseHeaders, + isWebSocketUpgrade, + validateWebSocketUpgrade, +} from "./cloudflare-utils"; +import type { AGUIEvent } from "./events"; + +export interface WorkersAdapterOptions extends CloudflareAGUIAdapterOptions { + /** Enable CORS for cross-origin requests */ + cors?: boolean; + /** Custom CORS origin (default: *) */ + corsOrigin?: string; + /** Handle WebSocket upgrades (requires Durable Objects) */ + websocket?: { + /** Durable Object namespace for WebSocket handling */ + durableObject?: DurableObjectNamespace; + /** Path to handle WebSocket connections */ + path?: string; + }; +} + +/** + * Cloudflare Workers Environment bindings + */ +export interface WorkersEnv { + /** Cloudflare Account ID */ + CLOUDFLARE_ACCOUNT_ID?: string; + /** Cloudflare API Token */ + CLOUDFLARE_API_TOKEN?: string; + /** AI Gateway ID */ + AI_GATEWAY_ID?: string; + /** Durable Object binding for WebSockets */ + WEBSOCKET_DO?: DurableObjectNamespace; + /** KV namespace for session storage */ + SESSIONS_KV?: KVNamespace; +} + +/** + * Main entry point for Cloudflare Workers + * + * @example + * ```typescript + * export default { + * async fetch(request, env, ctx) { + * return handleCloudflareWorker(request, env, { + * model: '@cf/meta/llama-3.1-8b-instruct' + * }); + * } + * }; + * ``` + */ +export async function handleCloudflareWorker( + request: Request, + env: WorkersEnv, + options?: Partial, +): Promise { + // Normalize request with Cloudflare headers + const normalized = normalizeRequest(request); + + // Handle CORS preflight + if (request.method === "OPTIONS") { + return new Response(null, { + status: 204, + headers: createResponseHeaders({ + cors: options?.cors ?? true, + corsOrigin: options?.corsOrigin, + }), + }); + } + + // Handle WebSocket upgrade + if (isWebSocketUpgrade(normalized.headers)) { + const validationError = validateWebSocketUpgrade(normalized.headers); + if (validationError) { + return new Response(validationError, { status: 400 }); + } + + if (options?.websocket?.durableObject) { + return handleWebSocketUpgrade(request, options.websocket.durableObject); + } + + return new Response("WebSocket support not configured", { status: 501 }); + } + + // Handle regular AG-UI requests + if (request.method === "POST") { + return handleAGUIRequest(request, env, options); + } + + return new Response("Method not allowed", { status: 405 }); +} + +/** + * Handle standard AG-UI chat completion requests + */ +async function handleAGUIRequest( + request: Request, + env: WorkersEnv, + options?: Partial, +): Promise { + try { + // Parse request body + const body = (await request.json()) as { + messages: Array<{ role: string; content: string }>; + model?: string; + tools?: any[]; + }; + + // Create adapter with environment variables + const adapter = new CloudflareAGUIAdapter({ + accountId: env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: env.CLOUDFLARE_API_TOKEN!, + model: (options?.model || body.model || "@cf/meta/llama-3.1-8b-instruct") as any, + gatewayId: env.AI_GATEWAY_ID, + tools: options?.tools || body.tools, + ...options, + }); + + // Create response headers for SSE + const headers = createResponseHeaders({ + cors: options?.cors ?? true, + corsOrigin: options?.corsOrigin, + }); + + // Stream AG-UI events as Server-Sent Events + const { readable, writable } = new TransformStream(); + const writer = writable.getWriter(); + const encoder = new TextEncoder(); + + // Start streaming in background + (async () => { + try { + for await (const event of adapter.execute(body.messages as any)) { + await writer.write(encoder.encode(formatSSE(event))); + } + } catch (error) { + console.error("Error streaming AG-UI events:", error); + await writer.write( + encoder.encode( + formatSSE({ + type: "RUN_ERROR", + runId: "error", + data: { + error: error instanceof Error ? error.message : "Unknown error", + }, + } as AGUIEvent), + ), + ); + } finally { + await writer.close(); + } + })(); + + return new Response(readable, { + status: 200, + headers, + }); + } catch (error) { + console.error("Error handling AG-UI request:", error); + return new Response( + JSON.stringify({ + error: error instanceof Error ? error.message : "Internal server error", + }), + { + status: 500, + headers: { "Content-Type": "application/json" }, + }, + ); + } +} + +/** + * Handle WebSocket upgrade with Durable Objects + */ +async function handleWebSocketUpgrade( + request: Request, + durableObject: DurableObjectNamespace, +): Promise { + // Get or create Durable Object for this connection + const id = durableObject.idFromName("websocket-session"); + const stub = durableObject.get(id); + + // Forward upgrade request to Durable Object + return stub.fetch(request); +} + +/** + * Format AG-UI event as Server-Sent Event + */ +function formatSSE(event: AGUIEvent): string { + return `data: ${JSON.stringify(event)}\n\n`; +} + +/** + * Create a Cloudflare Worker handler with AG-UI support + * + * @example + * ```typescript + * export default createCloudflareWorkerHandler({ + * model: '@cf/meta/llama-3.1-8b-instruct', + * cors: true, + * }); + * ``` + */ +export function createCloudflareWorkerHandler(options?: Partial): { + fetch: (request: Request, env: WorkersEnv, ctx: ExecutionContext) => Promise; +} { + return { + async fetch(request, env, ctx) { + return handleCloudflareWorker(request, env, options); + }, + }; +} + +/** + * Durable Object for WebSocket handling + * + * @example + * ```typescript + * export class WebSocketDO { + * constructor(state: DurableObjectState, env: WorkersEnv) { + * // Initialize + * } + * + * async fetch(request: Request) { + * return handleWebSocketConnection(request, this.state, this.env); + * } + * } + * ``` + */ +export async function handleWebSocketConnection( + request: Request, + state: DurableObjectState, + env: WorkersEnv, + options?: Partial, +): Promise { + // Create WebSocket pair + const pair = new WebSocketPair(); + const [client, server] = Object.values(pair) as [WebSocket, WebSocket]; + + // Accept the connection + (server as any).accept(); + + // Handle messages + server.addEventListener("message", async (event: MessageEvent) => { + try { + const message = JSON.parse(event.data as string); + + // Create adapter + const adapter = new CloudflareAGUIAdapter({ + accountId: env.CLOUDFLARE_ACCOUNT_ID!, + apiToken: env.CLOUDFLARE_API_TOKEN!, + model: options?.model || "@cf/meta/llama-3.1-8b-instruct", + gatewayId: env.AI_GATEWAY_ID, + ...options, + }); + + // Stream events back over WebSocket + for await (const aguiEvent of adapter.execute(message.messages || [])) { + server.send(JSON.stringify(aguiEvent)); + } + } catch (error) { + server.send( + JSON.stringify({ + type: "RUN_ERROR", + data: { error: error instanceof Error ? error.message : "Unknown error" }, + }), + ); + } + }); + + server.addEventListener("close", () => { + // Cleanup + }); + + return new Response(null, { + status: 101, + webSocket: client as any, + } as any); +} diff --git a/integrations/cloudflare/typescript/tsconfig.json b/integrations/cloudflare/typescript/tsconfig.json new file mode 100644 index 000000000..13fa205df --- /dev/null +++ b/integrations/cloudflare/typescript/tsconfig.json @@ -0,0 +1,26 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "esnext", + "lib": ["ES2020"], + "types": ["@cloudflare/workers-types"], + "declaration": true, + "declarationMap": true, + "sourceMap": true, + "moduleResolution": "node", + "skipLibCheck": true, + "strict": true, + "esModuleInterop": true, + "resolveJsonModule": true, + "isolatedModules": true, + "baseUrl": ".", + "paths": { + "@/*": ["./src/*"] + }, + "stripInternal": true, + "outDir": "./dist", + "rootDir": "./src" + }, + "include": ["src"], + "exclude": ["node_modules", "dist", "examples"] +} diff --git a/integrations/cloudflare/typescript/tsup.config.ts b/integrations/cloudflare/typescript/tsup.config.ts new file mode 100644 index 000000000..59b1dd419 --- /dev/null +++ b/integrations/cloudflare/typescript/tsup.config.ts @@ -0,0 +1,12 @@ +import { defineConfig } from "tsup"; + +export default defineConfig({ + entry: ["src/index.ts"], + format: ["cjs", "esm"], + dts: true, + sourcemap: true, + clean: true, + splitting: false, + minify: false, + external: ["@ag-ui/core", "@ag-ui/client", "@copilotkit/runtime", "agents"], +}); diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 70be6bfa3..1075d3633 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -40,7 +40,7 @@ importers: version: 0.12.1(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76) '@mastra/libsql': specifier: 0.12.0 - version: 0.12.0(@mastra/core@0.12.1(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76)) + version: 0.12.0(@mastra/core@0.12.1(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76))(bufferutil@4.0.9)(utf-8-validate@5.0.10) '@mastra/loggers': specifier: 0.10.5 version: 0.10.5(@mastra/core@0.12.1(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76)) @@ -78,6 +78,9 @@ importers: '@ag-ui/client': specifier: workspace:* version: link:../../sdks/typescript/packages/client + '@ag-ui/cloudflare': + specifier: workspace:* + version: link:../../integrations/cloudflare/typescript '@ag-ui/core': specifier: workspace:* version: link:../../sdks/typescript/packages/core @@ -128,7 +131,7 @@ importers: version: 1.10.6(@types/react@19.2.2)(graphql@16.11.0)(react-dom@19.2.0(react@19.2.0))(react@19.2.0) '@copilotkit/runtime': specifier: 1.10.6 - version: 1.10.6(43a54c62826e391639c20a8a0387b983) + version: 1.10.6(6baa88a9727729a45a3f3165407bbf6b) '@copilotkit/runtime-client-gql': specifier: 1.10.6 version: 1.10.6(graphql@16.11.0)(react@19.2.0) @@ -146,7 +149,7 @@ importers: version: 0.15.6(@mastra/core@0.20.2(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76)) '@mastra/libsql': specifier: ^0.15.1 - version: 0.15.1(@mastra/core@0.20.2(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76)) + version: 0.15.1(@mastra/core@0.20.2(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76))(bufferutil@4.0.9)(utf-8-validate@5.0.10) '@mastra/loggers': specifier: ^0.10.15 version: 0.10.15(@mastra/core@0.20.2(openapi-types@12.1.3)(react@19.2.0)(zod@3.25.76)) @@ -233,7 +236,7 @@ importers: version: 0.4.6(react-dom@19.2.0(react@19.2.0))(react@19.2.0) openai: specifier: ^4.98.0 - version: 4.104.0(ws@8.18.3)(zod@3.25.76) + version: 4.104.0(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10))(zod@3.25.76) react: specifier: ^19.0.0 version: 19.2.0 @@ -367,6 +370,102 @@ importers: specifier: ^5.3.3 version: 5.9.3 + integrations/cloudflare/typescript: + dependencies: + '@copilotkit/runtime': + specifier: ^1.0.0 + version: 1.10.6(11965aeb7c1575ca0e6e335d73f00c47) + agents: + specifier: ^0.1.0 + version: 0.1.6(@cloudflare/workers-types@4.20251011.0)(@solana/sysvars@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3))(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(fastestsmallesttextencoderdecoder@1.0.22)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + eventsource-parser: + specifier: ^2.0.1 + version: 2.0.1 + rxjs: + specifier: 7.8.1 + version: 7.8.1 + uuid: + specifier: ^11.1.0 + version: 11.1.0 + zod: + specifier: ^3.23.8 + version: 3.25.76 + devDependencies: + '@ag-ui/client': + specifier: workspace:* + version: link:../../../sdks/typescript/packages/client + '@ag-ui/core': + specifier: workspace:* + version: link:../../../sdks/typescript/packages/core + '@cloudflare/workers-types': + specifier: ^4.20251011.0 + version: 4.20251011.0 + '@types/node': + specifier: ^20.0.0 + version: 20.19.21 + jest: + specifier: ^29.0.0 + version: 29.7.0(@types/node@20.19.21) + tsup: + specifier: ^8.0.0 + version: 8.5.0(jiti@2.6.1)(postcss@8.5.6)(tsx@4.20.6)(typescript@5.9.3)(yaml@2.8.1) + typescript: + specifier: ^5.4.0 + version: 5.9.3 + + integrations/cloudflare/typescript/examples: + dependencies: + '@ag-ui/cloudflare': + specifier: workspace:* + version: link:.. + '@ag-ui/core': + specifier: workspace:* + version: link:../../../../sdks/typescript/packages/core + cors: + specifier: ^2.8.5 + version: 2.8.5 + dotenv: + specifier: ^16.4.5 + version: 16.6.1 + express: + specifier: ^4.18.2 + version: 4.21.2 + devDependencies: + '@types/cors': + specifier: ^2.8.17 + version: 2.8.19 + '@types/express': + specifier: ^4.17.21 + version: 4.17.23 + '@types/node': + specifier: ^20.10.0 + version: 20.19.21 + tsx: + specifier: ^4.7.0 + version: 4.20.6 + typescript: + specifier: ^5.3.3 + version: 5.9.3 + + integrations/cloudflare/typescript/examples-agents-sdk: + dependencies: + '@ag-ui/cloudflare': + specifier: workspace:* + version: link:.. + agents: + specifier: ^0.1.0 + version: 0.1.6(@cloudflare/workers-types@4.20251011.0)(@solana/sysvars@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3))(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(fastestsmallesttextencoderdecoder@1.0.22)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + devDependencies: + '@cloudflare/workers-types': + specifier: ^4.20250115.0 + version: 4.20251011.0 + typescript: + specifier: ^5.7.2 + version: 5.9.3 + wrangler: + specifier: ^3.110.0 + version: 3.114.15(@cloudflare/workers-types@4.20251011.0)(bufferutil@4.0.9)(utf-8-validate@5.0.10) + integrations/community/spring-ai/typescript: dependencies: rxjs: @@ -433,10 +532,10 @@ importers: dependencies: '@langchain/core': specifier: ^0.3.66 - version: 0.3.78(@opentelemetry/api@1.9.0)(@opentelemetry/exporter-trace-otlp-proto@0.203.0(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@2.1.0(@opentelemetry/api@1.9.0))(openai@5.12.2(ws@8.18.3)(zod@3.25.76)) + version: 0.3.78(@opentelemetry/api@1.9.0)(@opentelemetry/exporter-trace-otlp-proto@0.203.0(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@2.1.0(@opentelemetry/api@1.9.0))(openai@5.12.2(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10))(zod@3.25.76)) '@langchain/langgraph-sdk': specifier: ^0.1.2 - version: 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retry-axios@2.6.0(axios@1.12.2(debug@4.4.3)): dependencies: axios: 1.12.2(debug@4.4.3) @@ -19828,10 +23963,24 @@ snapshots: transitivePeerDependencies: - supports-color + rollup-plugin-inject@3.0.2: + dependencies: + estree-walker: 0.6.1 + magic-string: 0.25.9 + rollup-pluginutils: 2.8.2 + rollup-plugin-node-externals@8.1.1(rollup@4.50.2): dependencies: rollup: 4.50.2 + rollup-plugin-node-polyfills@0.2.1: + dependencies: + rollup-plugin-inject: 3.0.2 + + rollup-pluginutils@2.8.2: + dependencies: + estree-walker: 0.6.1 + rollup@4.50.2: dependencies: '@types/estree': 1.0.8 @@ -19927,6 +24076,8 @@ snapshots: has-symbols: 1.1.0 isarray: 2.0.5 + safe-buffer@5.1.2: {} + safe-buffer@5.2.1: {} safe-push-apply@1.0.0: @@ -20006,6 +24157,8 @@ snapshots: transitivePeerDependencies: - supports-color + set-blocking@2.0.0: {} + set-function-length@1.2.2: dependencies: define-data-property: 1.1.4 @@ -20030,6 +24183,12 @@ snapshots: setprototypeof@1.2.0: {} + sha.js@2.4.12: + dependencies: + inherits: 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unstorage@1.17.1(@upstash/redis@1.35.6)(idb-keyval@6.2.2): + dependencies: + anymatch: 3.1.3 + chokidar: 4.0.3 + destr: 2.0.5 + h3: 1.15.4 + lru-cache: 10.4.3 + node-fetch-native: 1.6.7 + ofetch: 1.4.1 + ufo: 1.6.1 + optionalDependencies: + '@upstash/redis': 1.35.6 + idb-keyval: 6.2.2 + untruncate-json@0.0.1: {} update-browserslist-db@1.1.3(browserslist@4.26.3): @@ -20765,18 +25011,40 @@ snapshots: optionalDependencies: '@types/react': 19.2.2 + use-sync-external-store@1.2.0(react@19.2.0): + dependencies: + react: 19.2.0 + + use-sync-external-store@1.4.0(react@19.2.0): + dependencies: + react: 19.2.0 + use-sync-external-store@1.6.0(react@19.2.0): dependencies: react: 19.2.0 + utf-8-validate@5.0.10: + dependencies: + node-gyp-build: 4.8.4 + util-deprecate@1.0.2: {} + util@0.12.5: + dependencies: + inherits: 2.0.4 + is-arguments: 1.2.0 + is-generator-function: 1.1.2 + is-typed-array: 1.1.15 + which-typed-array: 1.1.19 + utils-merge@1.0.1: {} uuid@10.0.0: {} uuid@11.1.0: {} + uuid@8.3.2: {} + uuid@9.0.1: {} uvu@0.5.6: @@ -20794,6 +25062,15 @@ snapshots: validator@13.15.15: {} + valtio@1.13.2(@types/react@19.2.2)(react@19.2.0): + dependencies: + derive-valtio: 0.1.0(valtio@1.13.2(@types/react@19.2.2)(react@19.2.0)) + proxy-compare: 2.6.0 + use-sync-external-store: 1.2.0(react@19.2.0) + optionalDependencies: + '@types/react': 19.2.2 + react: 19.2.0 + vary@1.1.2: {} vfile-location@5.0.3: @@ -20823,8 +25100,98 @@ snapshots: '@types/unist': 3.0.3 vfile-message: 4.0.3 + viem@2.23.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76): + dependencies: + '@noble/curves': 1.8.1 + '@noble/hashes': 1.7.1 + '@scure/bip32': 1.6.2 + '@scure/bip39': 1.5.4 + abitype: 1.0.8(typescript@5.9.3)(zod@3.25.76) + isows: 1.0.6(ws@8.18.0(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + ox: 0.6.7(typescript@5.9.3)(zod@3.25.76) + ws: 8.18.0(bufferutil@4.0.9)(utf-8-validate@5.0.10) + optionalDependencies: + typescript: 5.9.3 + transitivePeerDependencies: + - bufferutil + - utf-8-validate + - zod + + viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.22.4): + dependencies: + '@noble/curves': 1.9.1 + '@noble/hashes': 1.8.0 + '@scure/bip32': 1.7.0 + '@scure/bip39': 1.6.0 + abitype: 1.1.0(typescript@5.9.3)(zod@3.22.4) + isows: 1.0.7(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + ox: 0.9.6(typescript@5.9.3)(zod@3.22.4) + ws: 8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10) + optionalDependencies: + typescript: 5.9.3 + transitivePeerDependencies: + - bufferutil + - utf-8-validate + - zod + + viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76): + dependencies: + '@noble/curves': 1.9.1 + '@noble/hashes': 1.8.0 + '@scure/bip32': 1.7.0 + '@scure/bip39': 1.6.0 + abitype: 1.1.0(typescript@5.9.3)(zod@3.25.76) + isows: 1.0.7(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + ox: 0.9.6(typescript@5.9.3)(zod@3.25.76) + ws: 8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10) + optionalDependencies: + typescript: 5.9.3 + transitivePeerDependencies: + - bufferutil + - utf-8-validate + - zod + w3c-keyname@2.2.8: {} + wagmi@2.18.1(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76))(zod@3.25.76): + dependencies: + '@tanstack/react-query': 5.90.3(react@19.2.0) + '@wagmi/connectors': 6.0.1(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(@wagmi/core@2.22.1(@tanstack/query-core@5.90.3)(@types/react@19.2.2)(react@19.2.0)(typescript@5.9.3)(use-sync-external-store@1.4.0(react@19.2.0))(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76)))(bufferutil@4.0.9)(react@19.2.0)(typescript@5.9.3)(use-sync-external-store@1.4.0(react@19.2.0))(utf-8-validate@5.0.10)(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76))(wagmi@2.18.1(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76))(zod@3.25.76))(zod@3.25.76) + '@wagmi/core': 2.22.1(@tanstack/query-core@5.90.3)(@types/react@19.2.2)(react@19.2.0)(typescript@5.9.3)(use-sync-external-store@1.4.0(react@19.2.0))(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76)) + react: 19.2.0 + use-sync-external-store: 1.4.0(react@19.2.0) + viem: 2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76) + optionalDependencies: + typescript: 5.9.3 + transitivePeerDependencies: + - '@azure/app-configuration' + - '@azure/cosmos' + - '@azure/data-tables' + - '@azure/identity' + - '@azure/keyvault-secrets' + - '@azure/storage-blob' + - '@capacitor/preferences' + - '@deno/kv' + - '@netlify/blobs' + - '@planetscale/database' + - '@react-native-async-storage/async-storage' + - '@tanstack/query-core' + - '@types/react' + - '@upstash/redis' + - '@vercel/blob' + - '@vercel/functions' + - '@vercel/kv' + - aws4fetch + - bufferutil + - db0 + - encoding + - immer + - ioredis + - supports-color + - uploadthing + - utf-8-validate + - zod + wait-port@1.1.0: dependencies: chalk: 4.1.2 @@ -20860,6 +25227,8 @@ snapshots: web-streams-polyfill@4.0.0-beta.3: {} + webextension-polyfill@0.10.0: {} + webidl-conversions@3.0.1: {} webidl-conversions@4.0.2: {} @@ -20906,6 +25275,8 @@ snapshots: is-weakmap: 2.0.2 is-weakset: 2.0.4 + which-module@2.0.1: {} + which-typed-array@1.1.19: dependencies: available-typed-arrays: 1.0.7 @@ -20926,6 +25297,34 @@ snapshots: wordwrap@1.0.0: {} + workerd@1.20250718.0: + optionalDependencies: + '@cloudflare/workerd-darwin-64': 1.20250718.0 + '@cloudflare/workerd-darwin-arm64': 1.20250718.0 + '@cloudflare/workerd-linux-64': 1.20250718.0 + '@cloudflare/workerd-linux-arm64': 1.20250718.0 + '@cloudflare/workerd-windows-64': 1.20250718.0 + + wrangler@3.114.15(@cloudflare/workers-types@4.20251011.0)(bufferutil@4.0.9)(utf-8-validate@5.0.10): + dependencies: + '@cloudflare/kv-asset-handler': 0.3.4 + '@cloudflare/unenv-preset': 2.0.2(unenv@2.0.0-rc.14)(workerd@1.20250718.0) + '@esbuild-plugins/node-globals-polyfill': 0.2.3(esbuild@0.17.19) + '@esbuild-plugins/node-modules-polyfill': 0.2.2(esbuild@0.17.19) + blake3-wasm: 2.1.5 + esbuild: 0.17.19 + miniflare: 3.20250718.2(bufferutil@4.0.9)(utf-8-validate@5.0.10) + path-to-regexp: 6.3.0 + unenv: 2.0.0-rc.14 + workerd: 1.20250718.0 + optionalDependencies: + '@cloudflare/workers-types': 4.20251011.0 + fsevents: 2.3.3 + sharp: 0.33.5 + transitivePeerDependencies: + - bufferutil + - utf-8-validate + wrap-ansi@6.2.0: dependencies: ansi-styles: 4.3.0 @@ -20951,18 +25350,85 @@ snapshots: imurmurhash: 0.1.4 signal-exit: 3.0.7 - ws@8.18.3: {} + ws@7.5.10(bufferutil@4.0.9)(utf-8-validate@5.0.10): + optionalDependencies: + bufferutil: 4.0.9 + utf-8-validate: 5.0.10 + + ws@8.17.1(bufferutil@4.0.9)(utf-8-validate@5.0.10): + optionalDependencies: + bufferutil: 4.0.9 + utf-8-validate: 5.0.10 + + ws@8.18.0(bufferutil@4.0.9)(utf-8-validate@5.0.10): + optionalDependencies: + bufferutil: 4.0.9 + utf-8-validate: 5.0.10 + + ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10): + optionalDependencies: + bufferutil: 4.0.9 + utf-8-validate: 5.0.10 wsl-utils@0.1.0: dependencies: is-wsl: 3.1.0 + x402@0.6.6(@solana/sysvars@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3))(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(fastestsmallesttextencoderdecoder@1.0.22)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)): + dependencies: + '@scure/base': 1.2.6 + '@solana-program/compute-budget': 0.8.0(@solana/kit@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10))) + '@solana-program/token': 0.5.1(@solana/kit@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10))) + '@solana-program/token-2022': 0.4.2(@solana/kit@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)))(@solana/sysvars@2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)) + '@solana/kit': 2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + '@solana/transaction-confirmation': 2.3.0(fastestsmallesttextencoderdecoder@1.0.22)(typescript@5.9.3)(ws@8.18.3(bufferutil@4.0.9)(utf-8-validate@5.0.10)) + viem: 2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76) + wagmi: 2.18.1(@tanstack/query-core@5.90.3)(@tanstack/react-query@5.90.3(react@19.2.0))(@types/react@19.2.2)(@upstash/redis@1.35.6)(bufferutil@4.0.9)(react@19.2.0)(typescript@5.9.3)(utf-8-validate@5.0.10)(viem@2.38.2(bufferutil@4.0.9)(typescript@5.9.3)(utf-8-validate@5.0.10)(zod@3.25.76))(zod@3.25.76) + zod: 3.25.76 + transitivePeerDependencies: + - '@azure/app-configuration' + - '@azure/cosmos' + - '@azure/data-tables' + - '@azure/identity' + - '@azure/keyvault-secrets' + - '@azure/storage-blob' + - '@capacitor/preferences' + - '@deno/kv' + - '@netlify/blobs' + - '@planetscale/database' + - '@react-native-async-storage/async-storage' + - '@solana/sysvars' + - '@tanstack/query-core' + - '@tanstack/react-query' + - '@types/react' + - '@upstash/redis' + - '@vercel/blob' + - '@vercel/functions' + - '@vercel/kv' + - aws4fetch + - bufferutil + - db0 + - encoding + - fastestsmallesttextencoderdecoder + - immer + - ioredis + - react + - supports-color + - typescript + - uploadthing + - utf-8-validate + - ws + + xmlhttprequest-ssl@2.1.2: {} + xstate@5.23.0: {} xtend@4.0.2: {} xxhash-wasm@1.1.0: {} + y18n@4.0.3: {} + y18n@5.0.8: {} yallist@3.1.1: {} @@ -20973,8 +25439,27 @@ snapshots: yaml@2.8.1: {} + yargs-parser@18.1.3: + dependencies: + camelcase: 5.3.1 + decamelize: 1.2.0 + yargs-parser@21.1.1: {} + yargs@15.4.1: + dependencies: + cliui: 6.0.0 + decamelize: 1.2.0 + find-up: 4.1.0 + get-caller-file: 2.0.5 + require-directory: 2.1.1 + require-main-filename: 2.0.0 + set-blocking: 2.0.0 + string-width: 4.2.3 + which-module: 2.0.1 + y18n: 4.0.3 + yargs-parser: 18.1.3 + yargs@17.7.2: dependencies: cliui: 8.0.1 @@ -20995,6 +25480,12 @@ snapshots: yoctocolors@2.1.2: {} + youch@3.3.4: + dependencies: + cookie: 0.7.2 + mustache: 4.2.0 + stacktracey: 2.1.8 + zod-from-json-schema@0.0.5: dependencies: zod: 3.25.76 @@ -21007,8 +25498,30 @@ snapshots: dependencies: zod: 3.25.76 + zod@3.22.3: {} + + zod@3.22.4: {} + zod@3.25.76: {} zod@4.1.12: {} + zustand@5.0.0(@types/react@19.2.2)(react@19.2.0)(use-sync-external-store@1.4.0(react@19.2.0)): + optionalDependencies: + '@types/react': 19.2.2 + react: 19.2.0 + use-sync-external-store: 1.4.0(react@19.2.0) + + zustand@5.0.3(@types/react@19.2.2)(react@19.2.0)(use-sync-external-store@1.4.0(react@19.2.0)): + optionalDependencies: + '@types/react': 19.2.2 + react: 19.2.0 + use-sync-external-store: 1.4.0(react@19.2.0) + + zustand@5.0.8(@types/react@19.2.2)(react@19.2.0)(use-sync-external-store@1.4.0(react@19.2.0)): + optionalDependencies: + '@types/react': 19.2.2 + react: 19.2.0 + use-sync-external-store: 1.4.0(react@19.2.0) + zwitch@2.0.4: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml index 512b27006..525a89161 100644 --- a/pnpm-workspace.yaml +++ b/pnpm-workspace.yaml @@ -4,4 +4,4 @@ packages: - "sdks/typescript/packages/*" - "integrations/*/typescript" - "integrations/community/*/typescript" - - "integrations/mastra/typescript/examples" + - "integrations/*/typescript/examples"