genkit
Version:
Genkit AI framework
159 lines • 4.27 kB
JavaScript
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
};
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