|
| 1 | +--- |
| 2 | +title: DurableAgent |
| 3 | +--- |
| 4 | + |
| 5 | +import { ExperimentalPackageCallout } from "@/components/experimental-package-callout" |
| 6 | +import { generateDefinition } from "@/lib/tsdoc" |
| 7 | + |
| 8 | +# `DurableAgent` |
| 9 | + |
| 10 | +<ExperimentalPackageCallout packageName="@workflow/ai" /> |
| 11 | + |
| 12 | +The `DurableAgent` class enables you to create AI-powered agents that can maintain state across workflow steps, call tools, and gracefully handle interruptions and resumptions. |
| 13 | + |
| 14 | +Tool calls can be implemented as workflow steps for automatic retries, or as regular workflow-level logic utilizing core library features such as [`sleep()`](/docs/api-reference/workflow/sleep) and [Hooks](/docs/foundations/hooks). |
| 15 | + |
| 16 | +```typescript lineNumbers |
| 17 | +import { DurableAgent } from '@workflow/ai/agent'; |
| 18 | +import { z } from 'zod'; |
| 19 | + |
| 20 | +async function getWeather({ city }: { city: string }) { |
| 21 | + "use step"; |
| 22 | + |
| 23 | + return `Weather in ${city} is sunny`; |
| 24 | +} |
| 25 | + |
| 26 | +async function myAgent() { |
| 27 | + "use workflow"; |
| 28 | + |
| 29 | + const agent = new DurableAgent({ |
| 30 | + model: 'anthropic/claude-haiku-4.5', |
| 31 | + system: 'You are a helpful weather assistant.', |
| 32 | + tools: { |
| 33 | + getWeather: { |
| 34 | + description: 'Get weather for a city', |
| 35 | + inputSchema: z.object({ city: z.string() }), |
| 36 | + execute: getWeather, |
| 37 | + }, |
| 38 | + }, |
| 39 | + }); |
| 40 | + |
| 41 | + await agent.stream({ |
| 42 | + messages: [{ role: 'user', content: 'How is the weather in San Francisco?' }], |
| 43 | + }); |
| 44 | +} |
| 45 | +``` |
| 46 | + |
| 47 | +## API Signature |
| 48 | + |
| 49 | +### Class |
| 50 | + |
| 51 | +<TSDoc |
| 52 | +definition={generateDefinition({ |
| 53 | + code: ` |
| 54 | +import { DurableAgent } from "@workflow/ai/agent"; |
| 55 | +export default DurableAgent;` |
| 56 | +})} |
| 57 | +/> |
| 58 | + |
| 59 | +### DurableAgentOptions |
| 60 | + |
| 61 | +<TSDoc |
| 62 | +definition={generateDefinition({ |
| 63 | + code: ` |
| 64 | +import type { DurableAgentOptions } from "@workflow/ai/agent"; |
| 65 | +export default DurableAgentOptions;` |
| 66 | +})} |
| 67 | +/> |
| 68 | + |
| 69 | +### DurableAgentStreamOptions |
| 70 | + |
| 71 | +<TSDoc |
| 72 | +definition={generateDefinition({ |
| 73 | + code: ` |
| 74 | +import type { DurableAgentStreamOptions } from "@workflow/ai/agent"; |
| 75 | +export default DurableAgentStreamOptions;` |
| 76 | +})} |
| 77 | +/> |
| 78 | + |
| 79 | +## Key Features |
| 80 | + |
| 81 | +- **Durable Execution**: Agents can be interrupted and resumed without losing state |
| 82 | +- **Flexible Tool Implementation**: Tools can be implemented as workflow steps for automatic retries, or as regular workflow-level logic |
| 83 | +- **Stream Processing**: Handles streaming responses and tool calls in a structured way |
| 84 | +- **Workflow Native**: Fully integrated with Workflow DevKit for production-grade reliability |
| 85 | + |
| 86 | +## Good to Know |
| 87 | + |
| 88 | +- Tools can be implemented as workflow steps (using `"use step"` for automatic retries), or as regular workflow-level logic |
| 89 | +- Tools can use core library features like `sleep()` and Hooks within their `execute` functions |
| 90 | +- The agent processes tool calls iteratively until completion |
| 91 | +- When no custom `writable` stream is provided, the agent uses the workflow's default writable stream |
| 92 | + |
| 93 | +## Examples |
| 94 | + |
| 95 | +### Basic Agent with Tools |
| 96 | + |
| 97 | +```typescript |
| 98 | +import { DurableAgent } from '@workflow/ai/agent'; |
| 99 | +import { z } from 'zod'; |
| 100 | + |
| 101 | +async function getWeather({ location }: { location: string }) { |
| 102 | + "use step"; |
| 103 | + // Fetch weather data |
| 104 | + const response = await fetch(`https://api.weather.com?location=${location}`); |
| 105 | + return response.json(); |
| 106 | +} |
| 107 | + |
| 108 | +async function weatherAgentWorkflow(userQuery: string) { |
| 109 | + 'use workflow'; |
| 110 | + |
| 111 | + const agent = new DurableAgent({ |
| 112 | + model: 'anthropic/claude-haiku-4.5', |
| 113 | + tools: { |
| 114 | + getWeather: { |
| 115 | + description: 'Get current weather for a location', |
| 116 | + inputSchema: z.object({ location: z.string() }), |
| 117 | + execute: getWeather, |
| 118 | + }, |
| 119 | + }, |
| 120 | + system: 'You are a helpful weather assistant. Always provide accurate weather information.', |
| 121 | + }); |
| 122 | + |
| 123 | + await agent.stream({ |
| 124 | + messages: [ |
| 125 | + { |
| 126 | + role: 'user', |
| 127 | + content: userQuery, |
| 128 | + }, |
| 129 | + ], |
| 130 | + }); |
| 131 | +} |
| 132 | +``` |
| 133 | + |
| 134 | +### Multiple Tools |
| 135 | + |
| 136 | +```typescript |
| 137 | +import { DurableAgent } from '@workflow/ai/agent'; |
| 138 | +import { z } from 'zod'; |
| 139 | + |
| 140 | +async function getWeather({ location }: { location: string }) { |
| 141 | + "use step"; |
| 142 | + return `Weather in ${location}: Sunny, 72°F`; |
| 143 | +} |
| 144 | + |
| 145 | +async function searchEvents({ location, category }: { location: string; category: string }) { |
| 146 | + "use step"; |
| 147 | + return `Found 5 ${category} events in ${location}`; |
| 148 | +} |
| 149 | + |
| 150 | +async function multiToolAgentWorkflow(userQuery: string) { |
| 151 | + 'use workflow'; |
| 152 | + |
| 153 | + const agent = new DurableAgent({ |
| 154 | + model: 'anthropic/claude-haiku-4.5', |
| 155 | + tools: { |
| 156 | + getWeather: { |
| 157 | + description: 'Get weather for a location', |
| 158 | + inputSchema: z.object({ location: z.string() }), |
| 159 | + execute: getWeather, |
| 160 | + }, |
| 161 | + searchEvents: { |
| 162 | + description: 'Search for upcoming events in a location', |
| 163 | + inputSchema: z.object({ location: z.string(), category: z.string() }), |
| 164 | + execute: searchEvents, |
| 165 | + }, |
| 166 | + }, |
| 167 | + }); |
| 168 | + |
| 169 | + await agent.stream({ |
| 170 | + messages: [ |
| 171 | + { |
| 172 | + role: 'user', |
| 173 | + content: userQuery, |
| 174 | + }, |
| 175 | + ], |
| 176 | + }); |
| 177 | +} |
| 178 | +``` |
| 179 | + |
| 180 | +### Tools with Workflow Library Features |
| 181 | + |
| 182 | +```typescript |
| 183 | +import { DurableAgent } from '@workflow/ai/agent'; |
| 184 | +import { sleep, defineHook } from 'workflow'; |
| 185 | +import { z } from 'zod'; |
| 186 | + |
| 187 | +// Define a reusable hook type |
| 188 | +const approvalHook = defineHook<{ approved: boolean; reason: string }>(); |
| 189 | + |
| 190 | +async function scheduleTask({ delaySeconds }: { delaySeconds: number }) { |
| 191 | + "use step"; |
| 192 | + // Use core library features like sleep() in tools |
| 193 | + await sleep(`${delaySeconds}s`); |
| 194 | + return `Slept for ${delaySeconds} seconds`; |
| 195 | +} |
| 196 | + |
| 197 | +async function requestApproval({ message }: { message: string }) { |
| 198 | + // Note: No "use step" for this tool call |
| 199 | + |
| 200 | + // Utilize a Hook for Human-in-the-loop approval |
| 201 | + const hook = approvalHook.create({ |
| 202 | + metadata: { message } |
| 203 | + }); |
| 204 | + |
| 205 | + console.log(`Approval needed - token: ${hook.token}`); |
| 206 | + |
| 207 | + // Wait for the approval payload |
| 208 | + const approval = await hook; |
| 209 | + |
| 210 | + if (approval.approved) { |
| 211 | + return `Request approved: ${approval.reason}`; |
| 212 | + } else { |
| 213 | + throw new Error(`Request denied: ${approval.reason}`); |
| 214 | + } |
| 215 | +} |
| 216 | + |
| 217 | +async function agentWithLibraryFeaturesWorkflow(userRequest: string) { |
| 218 | + 'use workflow'; |
| 219 | + |
| 220 | + const agent = new DurableAgent({ |
| 221 | + model: 'anthropic/claude-haiku-4.5', |
| 222 | + tools: { |
| 223 | + scheduleTask: { |
| 224 | + description: 'Pause the workflow for the specified number of seconds', |
| 225 | + inputSchema: z.object({ |
| 226 | + delaySeconds: z.number(), |
| 227 | + }), |
| 228 | + execute: scheduleTask, |
| 229 | + }, |
| 230 | + requestApproval: { |
| 231 | + description: 'Request approval for an action', |
| 232 | + inputSchema: z.object({ message: z.string() }), |
| 233 | + execute: requestApproval, |
| 234 | + }, |
| 235 | + }, |
| 236 | + }); |
| 237 | + |
| 238 | + await agent.stream({ |
| 239 | + messages: [{ role: 'user', content: userRequest }], |
| 240 | + }); |
| 241 | +} |
| 242 | +``` |
| 243 | + |
| 244 | +## See Also |
| 245 | + |
| 246 | +- [WorkflowChatTransport](/docs/api-reference/workflow-ai/workflow-chat-transport) - Transport layer for AI SDK streams |
| 247 | +- [Workflows and Steps](/docs/foundations/workflows-and-steps) - Understanding workflow fundamentals |
| 248 | +- [AI SDK Documentation](https://ai-sdk.dev/docs) - AI SDK documentation reference |
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