format

js/core/src/flow.ts

@@ -47,7 +47,7 @@ export interface FlowAuthPolicy<I extends z.ZodTypeAny = z.ZodTypeAny> {
 /**
  * For express-based flows, req.auth should contain the value to bepassed into
  * the flow context.
- * 
+ *
  * @hidden
  */
 export interface __RequestWithAuth extends express.Request {
@@ -402,7 +402,7 @@ export interface FlowServerOptions {
  * Flow server exposes registered flows as HTTP endpoints.
  *
  * This is for use in production environments.
- * 
+ *
  * @hidden
  */
 export class FlowServer {

js/core/src/logging.ts

@@ -83,10 +83,10 @@ class Logger {
 
 /**
  * Genkit logger.
- * 
+ *
  * ```ts
  * import { logger } from 'genkit/logging';
- * 
+ *
  * logger.setLogLevel('debug');
  * ```
  */

js/core/src/reflection.ts

@@ -52,7 +52,7 @@ export interface ReflectionServerOptions {
  * Reflection server exposes an API for inspecting and interacting with Genkit in development.
  *
  * This is for use in development environments.
- * 
+ *
  * @hidden
  */
 export class ReflectionServer {

js/core/src/tracing.ts

@@ -119,7 +119,7 @@ function maybeFlushMetrics(): Promise<void> {
 
 /**
  * Flushes all configured span processors.
- * 
+ *
  * @hidden
  */
 export async function flushTracing() {

js/genkit/README.md

@@ -9,15 +9,15 @@ This guide assumes that you're familiar with building applications with Node.js.
 To complete this quickstart, make sure that your development environment meets
 the following requirements:
 
-*   Node.js v20+
-*   npm
+- Node.js v20+
+- npm
 
 ## Install Genkit dependencies
 
 Install the following Genkit dependencies to use Genkit in your project:
 
-*   `genkit` provides Genkit core capabilities.
-*   `@genkit-ai/googleai` provides access to the Google AI Gemini models. Check out other plugins: https://www.npmjs.com/search?q=keywords:genkit-plugin
+- `genkit` provides Genkit core capabilities.
+- `@genkit-ai/googleai` provides access to the Google AI Gemini models. Check out other plugins: https://www.npmjs.com/search?q=keywords:genkit-plugin
 
 ```posix-terminal
 npm install genkit @genkit-ai/googleai
@@ -51,17 +51,15 @@ Now that you’re set up to make model requests with Genkit, learn how to use mo
 Genkit capabilities to build your AI-powered apps and workflows. To get started
 with additional Genkit capabilities, see the following guides:
 
-*   [Developer tools](/docs/genkit/devtools): Learn how to set up and use
-    Genkit’s CLI and developer UI to help you locally test and debug your app.
-*   [Generating content](/docs/genkit/models): Learn how to use Genkit’s unified
-    generation API to generate text and structured data from any supported
-    model.
-*   [Creating flows](/docs/genkit/flows): Learn how to use special Genkit
-    functions, called flows, that provide end-to-end observability for workflows
-    and rich debugging from Genkit tooling.
-*   [Managing prompts](/docs/genkit/dotprompt): Learn how Genkit helps you manage
-    your prompts and configuration together as code.
-
+- [Developer tools](/docs/genkit/devtools): Learn how to set up and use
+  Genkit’s CLI and developer UI to help you locally test and debug your app.
+- [Generating content](/docs/genkit/models): Learn how to use Genkit’s unified
+  generation API to generate text and structured data from any supported
+  model.
+- [Creating flows](/docs/genkit/flows): Learn how to use special Genkit
+  functions, called flows, that provide end-to-end observability for workflows
+  and rich debugging from Genkit tooling.
+- [Managing prompts](/docs/genkit/dotprompt): Learn how Genkit helps you manage
+  your prompts and configuration together as code.
 
 License: Apache 2.0
-

js/genkit/src/genkit.ts

@@ -167,7 +167,7 @@ export type PromptMetadata<
  * `Genkit` encapsulates a single Genkit instance including the {@link Registry}, {@link ReflectionServer}, {@link FlowServer}, and configuration.
  *
  * Do not instantiate this class directly. Use {@link genkit}.
- * 
+ *
  * Registry keeps track of actions, flows, tools, and many other components. Reflection server exposes an API to inspect the registry and trigger executions of actions in the registry. Flow server exposes flows as HTTP endpoints for production use.
  *
  * There may be multiple Genkit instances in a single codebase.

js/plugins/dev-local-vectorstore/src/index.ts

@@ -164,9 +164,7 @@ async function getClosestDocuments<
 /**
  * Configures a local vectorstore retriever
  */
-function configureDevLocalRetriever<
-  EmbedderCustomOptions extends z.ZodTypeAny,
->(
+function configureDevLocalRetriever<EmbedderCustomOptions extends z.ZodTypeAny>(
   ai: Genkit,
   params: {
     indexName: string;
@@ -203,9 +201,7 @@ function configureDevLocalRetriever<
 /**
  * Configures a local vectorstore indexer.
  */
-function configureDevLocalIndexer<
-  EmbedderCustomOptions extends z.ZodTypeAny,
->(
+function configureDevLocalIndexer<EmbedderCustomOptions extends z.ZodTypeAny>(
   ai: Genkit,
   params: {
     indexName: string;

js/plugins/google-cloud/README.md

@@ -10,9 +10,7 @@ npm i --save @genkit-ai/google-cloud
 
 ```ts
 import { genkit } from 'genkit';
-import {
-  enableGoogleCloudTelemetry,
-} from '@genkit-ai/google-cloud';
+import { enableGoogleCloudTelemetry } from '@genkit-ai/google-cloud';
 
 enableGoogleCloudTelemetry();
 

js/plugins/googleai/README.md

@@ -6,30 +6,23 @@
 npm i --save @genkit-ai/googleai
 ```
 
-
 ## Using the plugin
 
 ```ts
 import { genkit } from 'genkit';
-import {
-  googleAI,
-  gemini,
-} from '@genkit-ai/googleai';
+import { googleAI, gemini } from '@genkit-ai/googleai';
 
 const ai = genkit({
-  plugins: [
-    googleAI(),
-  ],
+  plugins: [googleAI()],
   model: gemini('gemini-1.5-flash'),
 });
 
-(async () => {
+async () => {
   const { text } = ai.generate('hi Gemini!');
   console.log(text);
-});
+};
 ```
 
-
 The sources for this package are in the main [Genkit](https://github.com/firebase/genkit) repo. Please file issues and pull requests against that repo.
 
 Usage information and reference details can be found in [Genkit documentation](https://firebase.google.com/docs/genkit).

js/plugins/googleai/src/gemini.ts

@@ -228,7 +228,7 @@ export type GeminiVersionString =
 
 /**
  * Returns a reference to a model that can be used in generate calls.
- * 
+ *
  * ```js
  * await ai.generate({
  *   prompt: 'hi',

js/plugins/ollama/src/types.ts

@@ -52,7 +52,7 @@ export interface DefineOllamaEmbeddingParams {
 export interface OllamaPluginParams {
   /**
    * Array of models to be defined.
-   * 
+   *
    * ```ts
    * const ai = genkit({
    *   plugins: [
@@ -68,7 +68,7 @@ export interface OllamaPluginParams {
 
   /**
    * Array of embedding models to be defined.
-   * 
+   *
    * ```ts
    * const ai = genkit({
    *   plugins: [
@@ -89,7 +89,7 @@ export interface OllamaPluginParams {
 
   /**
    * Optional request headers, which can be either static or dynamically generated.
-   * 
+   *
    * ```ts
    * const ai = genkit({
    *   plugins: [

js/plugins/pinecone/README.md

@@ -10,7 +10,11 @@ npm i --save genkitx-pinecone
 
 ```ts
 import { genkit } from 'genkit';
-import { pinecone, pineconeRetrieverRef, pineconeIndexerRef } from 'genkitx-pinecone';
+import {
+  pinecone,
+  pineconeRetrieverRef,
+  pineconeIndexerRef,
+} from 'genkitx-pinecone';
 
 const ai = genkit({
   plugins: [
@@ -37,7 +41,6 @@ export const bobFactsRetriever = pineconeRetrieverRef({
 let docs = await ai.retrieve({ retriever: pineconeRetrieverRef, query });
 ```
 
-
 The sources for this package are in the main [Genkit](https://github.com/firebase/genkit) repo. Please file issues and pull requests against that repo.
 
 Usage information and reference details can be found in [Genkit documentation](https://firebase.google.com/docs/genkit).

js/plugins/vertexai/README.md

@@ -6,28 +6,21 @@
 npm i --save @genkit-ai/vertexai
 ```
 
-
 ## Using the plugin
 
 ```ts
 import { genkit } from 'genkit';
-import {
-  vertexAI,
-  gemini,
-  gemini15Flash,
-} from '@genkit-ai/vertexai';
+import { vertexAI, gemini, gemini15Flash } from '@genkit-ai/vertexai';
 
 const ai = genkit({
-  plugins: [
-    vertexAI(),
-  ],
+  plugins: [vertexAI()],
   model: gemini15Flash,
 });
 
-(async () => {
+async () => {
   const { text } = ai.generate('hi Gemini!');
   console.log(text);
-});
+};
 ```
 
 The sources for this package are in the main [Genkit](https://github.com/firebase/genkit) repo. Please file issues and pull requests against that repo.

js/typedoc.json

@@ -12,7 +12,7 @@
     "plugins/express",
     "plugins/mcp",
     "plugins/ollama",
-    "plugins/pinecone",
+    "plugins/pinecone"
   ],
   "name": "Genkit JS API reference",
   "out": "api-refs-js",