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genkit

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Genkit AI framework

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import { SessionRunner, defineAgent, defineCustomAgent, defineInterrupt, definePromptAgent, defineResource, generateOperation } from "@genkit-ai/ai"; import { defineFormat } from "@genkit-ai/ai/formats"; import { FileSessionStore, InMemorySessionStore } from "@genkit-ai/ai/session-stores"; import { applyPatch, diff } from "@genkit-ai/ai/json-patch"; import { Genkit } from "./genkit.mjs"; function genkit(options) { return new GenkitBeta(options); } class GenkitBeta extends Genkit { constructor(options) { super(options); this.registry.apiStability = "beta"; } /** * Defines and registers a custom agent with a custom handler function. * * @beta */ defineCustomAgent(config, fn) { return defineCustomAgent(this.registry, config, fn); } /** * Defines and registers an agent from an existing Prompt template. * * @beta */ definePromptAgent(config) { return definePromptAgent(this.registry, config); } /** * Defines and registers an agent by creating a prompt and wiring it into a * multi-turn agent in one step. * * This is a convenience shortcut that combines `definePrompt` and * `definePromptAgent` into a single call. * * ```ts * const myAgent = ai.defineAgent({ * name: 'myAgent', * model: 'googleai/gemini-2.5-flash', * system: 'Talk like a pirate.', * tools: [weatherTool], * store: new FileSessionStore('./.snapshots'), * }); * ``` * * @beta */ defineAgent(config) { return defineAgent(this.registry, config); } /** * Defines and registers a custom model output formatter. * * Here's an example of a custom JSON output formatter: * * ```ts * import { extractJson } from 'genkit/extract'; * * ai.defineFormat( * { name: 'customJson' }, * (schema) => { * let instructions: string | undefined; * if (schema) { * instructions = `Output should be in JSON format and conform to the following schema: * \`\`\` * ${JSON.stringify(schema)} * \`\`\` * `; * } * return { * parseChunk: (chunk) => extractJson(chunk.accumulatedText), * parseMessage: (message) => extractJson(message.text), * instructions, * }; * } * ); * * const { output } = await ai.generate({ * prompt: 'Invent a menu item for a pirate themed restaurant.', * output: { format: 'customJson', schema: MenuItemSchema }, * }); * ``` * * @beta */ defineFormat(options, handler) { return defineFormat(this.registry, options, handler); } /** * Defines and registers an interrupt. * * Interrupts are special tools that halt model processing and return control back to the caller. Interrupts make it simpler to implement * "human-in-the-loop" and out-of-band processing patterns that require waiting on external actions to complete. * * @beta */ defineInterrupt(config) { return defineInterrupt(this.registry, config); } /** * Starts a generate operation for long running generation models, typically for * video and complex audio generation. * * See {@link GenerateOptions} for detailed information about available options. * * ```ts * const operation = await ai.generateOperation({ * model: googleAI.model('veo-2.0-generate-001'), * prompt: 'A banana riding a bicycle.', * }); * ``` * * The status of the operation and final result can be obtained using {@link Genkit.checkOperation}. */ generateOperation(opts) { return generateOperation(this.registry, opts); } /** * Defines a resource. Resources can then be accessed from a generate call. * * ```ts * ai.defineResource({ * uri: 'my://resource/{param}', * description: 'provides my resource', * }, async ({param}) => { * return [{ text: `resource ${param}` }] * }); * * await ai.generate({ * prompt: [{ resource: 'my://resource/value' }] * }) * ``` */ defineResource(opts, fn) { return defineResource(this.registry, opts, fn); } } export { FileSessionStore, GenkitBeta, InMemorySessionStore, SessionRunner, applyPatch, diff, genkit }; //# sourceMappingURL=genkit-beta.mjs.map