chore: clean up references to Genkit

README.md

@@ -1,7 +1,7 @@
 [![Run e2e tests](https://github.com/firebase/genkit/actions/workflows/e2e-tests.yml/badge.svg)](https://github.com/firebase/genkit/actions/workflows/e2e-tests.yml)
 
-![Firebase Genkit logo](docs/resources/genkit-logo-dark.png#gh-dark-mode-only 'Firebase Genkit')
-![Firebase Genkit logo](docs/resources/genkit-logo.png#gh-light-mode-only 'Firebase Genkit')
+![Genkit logo](docs/resources/genkit-logo-dark.png#gh-dark-mode-only 'Genkit')
+![Genkit logo](docs/resources/genkit-logo.png#gh-light-mode-only 'Genkit')
 
 Genkit is a framework for building AI-powered applications. It provides open source libraries for Node.js and Go, along with tools to help you debug and iterate quickly.
 

docs-go/cloud-run.md

@@ -1,6 +1,6 @@
-# Firebase Genkit with Cloud Run
+# Genkit with Cloud Run
 
-You can deploy Firebase Genkit flows as web services using Cloud Run. This page,
+You can deploy Genkit flows as web services using Cloud Run. This page,
 as an example, walks you through the process of deploying the default sample
 flow.
 

docs-go/deploy.md

@@ -1,6 +1,6 @@
 # Deploy flows to any app hosting platform
 
-You can deploy Firebase Genkit flows as web services using any service that can
+You can deploy Genkit flows as web services using any service that can
 host a Go binary.
 This page, as an example, walks you through the general process of deploying the
 default sample flow, and points out where you must take provider-specific

docs-go/dotprompt.md

@@ -1,6 +1,6 @@
 # Managing prompts with Dotprompt
 
-Firebase Genkit provides the Dotprompt plugin and text format to help you write
+Genkit provides the Dotprompt plugin and text format to help you write
 and organize your generative AI prompts.
 
 Dotprompt is designed around the premise that _prompts are code_. You write and

docs-go/flows.md

@@ -3,7 +3,7 @@
 Flows are wrapped functions with some additional characteristics over direct
 calls: they are strongly typed, streamable, locally and remotely callable, and
 fully observable.
-Firebase Genkit provides CLI and developer UI tooling for running and debugging flows.
+Genkit provides CLI and developer UI tooling for running and debugging flows.
 
 ## Defining flows
 

docs-go/get-started-go.md

@@ -1,6 +1,6 @@
 # Get started with Genkit using Go (alpha)
 
-The Firebase Genkit libraries for Go are now available for preview! Because the
+The Genkit libraries for Go are now available for preview! Because the
 Go libraries are currently in Alpha, you might see API and functional changes as
 development progresses. We recommend using it only for prototyping and
 exploration.

docs-go/models.md

@@ -1,10 +1,10 @@
 # Generating content
 
-Firebase Genkit provides an easy interface for generating content with LLMs.
+Genkit provides an easy interface for generating content with LLMs.
 
 ## Models
 
-Models in Firebase Genkit are libraries and abstractions that provide access to
+Models in Genkit are libraries and abstractions that provide access to
 various Google and non-Google LLMs.
 
 Models are fully instrumented for observability and come with tooling

docs-go/monitoring.md

@@ -1,6 +1,6 @@
 # Monitoring
 
-Firebase Genkit provides two complementary monitoring features: OpenTelemetry
+Genkit provides two complementary monitoring features: OpenTelemetry
 export and trace inspection using the developer UI.
 
 ## OpenTelemetry export

docs-go/plugin-authoring-telemetry.md

@@ -1,6 +1,6 @@
 # Writing a Genkit telemetry plugin
 
-The Firebase Genkit libraries are instrumented with [OpenTelemetry](http://opentelemetry.io)
+The Genkit libraries are instrumented with [OpenTelemetry](http://opentelemetry.io)
 to support collecting traces, metrics, and logs. Genkit users can export this
 telemetry data to monitoring and visualization tools by installing a plugin that
 configures the [OpenTelemetry Go SDK](https://opentelemetry.io/docs/languages/go/getting-started/)

docs-go/plugin-authoring.md

@@ -1,6 +1,6 @@
 # Writing Genkit plugins
 
-Firebase Genkit's capabilities are designed to be extended by plugins. Genkit
+Genkit's capabilities are designed to be extended by plugins. Genkit
 plugins are configurable modules that can provide models, retrievers, indexers,
 trace stores, and more. You've already seen plugins in action just by using
 Genkit:

docs-go/plugins/google-cloud.md

@@ -1,6 +1,6 @@
 # Google Cloud telemetry and logging plugin
 
-The Google Cloud plugin exports Firebase Genkit's telemetry and logging data to
+The Google Cloud plugin exports Genkit's telemetry and logging data to
 [Google Cloud's operation suite](https://cloud.google.com/products/operations).
 
 Note: Logging is facilitated by the `slog` package

docs-go/rag.md

@@ -1,6 +1,6 @@
 # Retrieval-augmented generation (RAG)
 
-Firebase Genkit provides abstractions that help you build retrieval-augmented generation
+Genkit provides abstractions that help you build retrieval-augmented generation
 (RAG) flows, as well as plugins that provide integrations with related tools.
 
 ## What is RAG?

docs/auth.md

@@ -6,7 +6,7 @@ necessary to ensure that the model is only accessing data it should, tool calls
 are properly scoped to the user invoking the LLM, and the flow is being invoked
 only by verified client applications.
 
-Firebase Genkit provides mechanisms for managing authorization policies and
+Genkit provides mechanisms for managing authorization policies and
 contexts. Flows running on Firebase can use an auth policy callback (or helper).
 Alternatively, Firebase also provides auth context into the flow where it can
 do its own checks. For non-Functions flows, auth can be managed and set

docs/deploy-node.md

@@ -4,7 +4,7 @@ and cloud-run links to, which links to express, next, and maybe cloud functions
 -->
 # Deploy flows to any Node.js platform
 
-Firebase Genkit has built-in integrations that help you deploy your flows to
+Genkit has built-in integrations that help you deploy your flows to
 Cloud Functions for Firebase and Google Cloud Run, but you can also deploy your
 flows to any platform that can serve an Express.js app, whether it’s a cloud
 service or self-hosted.

docs/devtools.md

@@ -1,6 +1,6 @@
-# Firebase Genkit Developer Tools
+# Genkit Developer Tools
 
-Firebase Genkit provides two key developer tools:
+Genkit provides two key developer tools:
 
 - A Node.js CLI for command-line operations
 - An optional local web app, called the Developer UI, that interfaces with your

docs/evaluation.md

@@ -3,7 +3,7 @@
 Evaluation is a form of testing that helps you validate your LLM's responses and
 ensure they meet your quality bar.
 
-Firebase Genkit supports third-party evaluation tools through plugins, paired
+Genkit supports third-party evaluation tools through plugins, paired
 with powerful observability features that provide insight into the runtime state
 of your LLM-powered applications. Genkit tooling helps you automatically extract
 data including inputs, outputs, and information from intermediate steps to

docs/observability/advanced-configuration.md

@@ -85,7 +85,7 @@ enableFirebaseTelemetry({
 
 ## Disable telemetry {: #disable-telemetry }
 
-Firebase Genkit Monitoring leverages a combination of logging, tracing, and
+Genkit Monitoring leverages a combination of logging, tracing, and
 metrics to capture a holistic view of your Genkit interactions, however, you can
 also disable each of these elements independently if needed.
 
@@ -106,7 +106,7 @@ enableFirebaseTelemetry({
 ```
 
 With this option set, input and output attributes will be redacted
-in the Firebase Genkit Monitoring trace viewer and will be missing
+in the Genkit Monitoring trace viewer and will be missing
 from Google Cloud logging.
 
 ### Disable metrics {: #disable-metrics }
@@ -122,7 +122,7 @@ enableFirebaseTelemetry({
 ```
 
 With this option set, you will no longer see stability metrics in the
-Firebase Genkit Monitoring dashboard and will be missing from Google Cloud
+Genkit Monitoring dashboard and will be missing from Google Cloud
 Metrics.
 
 ### Disable traces {: #disable-traces }
@@ -137,6 +137,6 @@ enableFirebaseTelemetry({
 });
 ```
 
-With this option set, you will no longer see traces in the Firebase Genkit
+With this option set, you will no longer see traces in the Genkit
 Monitoring feature page, have access to the trace viewer, or see traces
 present in Google Cloud Tracing.

docs/observability/authentication.md

@@ -24,7 +24,7 @@ Click to learn more about how to [enable and disable APIs](https://support.googl
 
 ## User Authentication {: #user-authentication }
 
-To export telemetry from your local development environment to Firebase Genkit
+To export telemetry from your local development environment to Genkit
 Monitoring, you will need to authenticate yourself with Google Cloud.
 
 The easiest way to authenticate as yourself is using the gcloud CLI, which will

docs/observability/getting-started.md

@@ -1,11 +1,11 @@
 # Get started with Genkit Monitoring {: #get-started }
 
-This quickstart guide describes how to set up Firebase Genkit Monitoring for
+This quickstart guide describes how to set up Genkit Monitoring for
 your deployed Genkit features, so that you can collect and view real-time
-telemetry data. With Firebase Genkit Monitoring, you get visibility into how
+telemetry data. With Genkit Monitoring, you get visibility into how
 your Genkit features are performing in production.
 
-Key capabilities of Firebase Genkit Monitoring include:
+Key capabilities of Genkit Monitoring include:
 
 * Viewing quantitative metrics like Genkit feature latency, errors, and
   token usage.

docs/observability/telemetry-collection.md

@@ -111,7 +111,7 @@ Each generate metric contains the following dimensions:
 
 All Genkit actions are automatically instrumented to provide detailed traces for
 your AI features. Locally, traces are visible in the Developer UI. For deployed
-apps enable Firebase Genkit Monitoring to get the same level of visibility.
+apps enable Genkit Monitoring to get the same level of visibility.
 
 The following sections describe what trace attributes you can expect based on
 the Genkit action type for a particular span in the trace.
@@ -177,7 +177,7 @@ the whole trace versus an individual span.
 
 ## Logs {: #logs }
 
-For deployed apps with Firebase Genkit Monitoring, logs are used to capture
+For deployed apps with Genkit Monitoring, logs are used to capture
 input, output, and configuration metadata that provides rich detail about
 each step in your AI feature.
 

docs/observability/troubleshooting.md

@@ -1,9 +1,9 @@
 # Genkit Monitoring: Troubleshooting {: #troubleshooting }
 
 The following sections detail solutions to common issues that developers run
-into when using Firebase Genkit Monitoring.
+into when using Genkit Monitoring.
 
-## I can't see traces or metrics in Firebase Genkit Monitoring {: #missing-metrics }
+## I can't see traces or metrics in Genkit Monitoring {: #missing-metrics }
 
 1. Ensure that the following APIs are enabled for your underlying Google Cloud
    project:

docs/plugin-authoring-evaluator.md

@@ -1,6 +1,6 @@
 # Writing a Genkit Evaluator
 
-You can extend Firebase Genkit to support custom evaluation, using either
+You can extend Genkit to support custom evaluation, using either
 an LLM as a judge, or by programmatic (heuristic) evaluation.
 
 ## Evaluator definition

docs/plugin-authoring.md

@@ -1,6 +1,6 @@
 # Writing Genkit plugins
 
-Firebase Genkit's capabilities are designed to be extended by plugins. Genkit plugins are configurable modules
+Genkit's capabilities are designed to be extended by plugins. Genkit plugins are configurable modules
 that can provide models, retrievers, indexers, trace stores, and more. You've already seen plugins in
 action just by using Genkit:
 

docs/plugins/firebase.md

@@ -10,7 +10,7 @@ build intelligent and scalable AI applications. Key features include:
 with vector embeddings.
 - **Telemetry**: Export telemetry to
 [Google's Cloud operations suite](https://cloud.google.com/products/operations)
-that powers the Firebase Genkit Monitoring console.
+that powers the Genkit Monitoring console.
 
 ## Installation
 
@@ -86,7 +86,7 @@ Application Default Credentials. To specify your credentials:
 ### Telemetry
 
 The Firebase plugin provides a telemetry implementation for sending metrics,
-traces, and logs to Firebase Genkit Monitoring.
+traces, and logs to Genkit Monitoring.
 
 To get started, visit the [Getting started guide](../observability/getting-started.md)
 for installation and configuration instructions.

docs/rag.md

@@ -1,6 +1,6 @@
 # Retrieval-augmented generation (RAG)
 
-Firebase Genkit provides abstractions that help you build retrieval-augmented
+Genkit provides abstractions that help you build retrieval-augmented
 generation (RAG) flows, as well as plugins that provide integrations with
 related tools.
 

genkit-tools/cli/README.md

@@ -1,6 +1,6 @@
-# Firebase Genkit CLI
+# Genkit CLI
 
-The package contains the CLI for Firebase Genkit, an open source framework with rich local tooling to help app developers build, test, deploy, and monitor AI-powered features for their apps with confidence. Genkit is built by Firebase, Google's app development platform that is trusted by millions of businesses around the world.
+The package contains the CLI for Genkit, an open source framework with rich local tooling to help app developers build, test, deploy, and monitor AI-powered features for their apps with confidence. Genkit is built by Firebase, Google's app development platform that is trusted by millions of businesses around the world.
 
 Review the [documentation](https://firebase.google.com/docs/genkit) for details and samples.
 

genkit-tools/cli/src/cli.ts

@@ -56,7 +56,7 @@ const commands: Command[] = [
 export async function startCLI(): Promise<void> {
   program
     .name('genkit')
-    .description('Firebase Genkit CLI')
+    .description('Genkit CLI')
     .version(version)
     .hook('preAction', async (_, actionCommand) => {
       await notifyAnalyticsIfFirstRun();

go/README.md

@@ -1,4 +1,4 @@
-# Firebase Genkit
+# Genkit
 
-This package is the Go version of Firebase Genkit, a framework for building
+This package is the Go version of Genkit, a framework for building
 AI-powered apps. See: https://firebase.google.com/docs/genkit-go

js/plugins/firebase/src/index.ts

@@ -31,7 +31,7 @@ export interface FirebaseTelemetryOptions extends GcpTelemetryConfigOptions {
 }
 
 /**
- * Enables telemetry export to Firebase Genkit Monitoring, backed by the
+ * Enables telemetry export to Genkit Monitoring, backed by the
  * Google Cloud Observability suite.
  *
  * @param options configuration options

js/plugins/google-cloud/README.md

@@ -2,7 +2,7 @@
 
 The Google Cloud plugin is a utility plugin to export telemetry and logs to Cloud Observability. This functionality is exposed through the Firebase plugin for customer use.
 
-Visit the [Getting started](https://firebase.google.com/docs/genkit/observability/getting-started) docs to set up Firebase Genkit Monitoring.
+Visit the [Getting started](https://firebase.google.com/docs/genkit/observability/getting-started) docs to set up Genkit Monitoring.
 
 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/testapps/evals/README.md

@@ -50,4 +50,4 @@ Please see the `src/eval-in-code.ts` file for an example on running evaluations
 
 ## Reference
 
-For more details on using Genkit evaluations, please refer to the official [Firebase Genkit documentation](https://firebase.google.com/docs/genkit/evaluation).
+For more details on using Genkit evaluations, please refer to the official [Genkit documentation](https://firebase.google.com/docs/genkit/evaluation).

js/testapps/vertexai-reranker/README.md

@@ -106,4 +106,4 @@ This project is licensed under the Apache License, Version 2.0. See the [LICENSE
 
 This sample provides a basic demonstration of using the Vertex AI plugin with Genkit for reranking documents based on a query. It can be extended and adapted to suit more complex use cases and integrations with other data sources and services.
 
-For more information, please refer to the official [Firebase Genkit documentation](https://firebase.google.com/docs/genkit).
+For more information, please refer to the official [Genkit documentation](https://firebase.google.com/docs/genkit).

js/testapps/vertexai-vector-search-bigquery/README.md

@@ -110,4 +110,4 @@ This project is licensed under the Apache License, Version 2.0. See the [LICENSE
 
 This sample provides a basic demonstration of using Vertex AI plugins with Genkit for document indexing and retrieval. It can be extended and adapted to suit more complex use cases and integrations with other data sources and services.
 
-For more information, please refer to the official [Firebase Genkit documentation](https://firebase.google.com/docs/genkit).
+For more information, please refer to the official [Genkit documentation](https://firebase.google.com/docs/genkit).

js/testapps/vertexai-vector-search-custom/README.md

@@ -134,4 +134,4 @@ This project is licensed under the Apache License, Version 2.0. See the [LICENSE
 
 This sample provides a basic demonstration of using Vertex AI plugins with Genkit for document indexing and retrieval. It can be extended and adapted to suit more complex use cases and integrations with other data sources and services.
 
-For more information, please refer to the official [Firebase Genkit documentation](https://firebase.google.com/docs/genkit).
+For more information, please refer to the official [Genkit documentation](https://firebase.google.com/docs/genkit).

js/testapps/vertexai-vector-search-firestore/README.md

@@ -106,4 +106,4 @@ This project is licensed under the Apache License, Version 2.0. See the [LICENSE
 
 This sample provides a basic demonstration of using Vertex AI plugins with Genkit for document indexing and retrieval. It can be extended and adapted to suit more complex use cases and integrations with other data sources and services.
 
-For more information, please refer to the official [Firebase Genkit documentation](https://firebase.google.com/docs/genkit).
+For more information, please refer to the official [Genkit documentation](https://firebase.google.com/docs/genkit).

py/README.md

@@ -1,4 +1,4 @@
-# Firebase Genkit Python SDK
+# Genkit Python SDK
 
 ## Setup Instructions
 

py/engdoc/contributing/index.md

@@ -2,12 +2,12 @@
 
 !!! note
 
-    If you're a user of Firebase Genkit and landed here,
+    If you're a user of Genkit and landed here,
     this is engineering documentation that someone contributing
     to Genkit would use, not necessarily only use it.
 
     For more information about how to get started with using
-    Firebase Genkit, please see: [User Guide](.)
+    Genkit, please see: [User Guide](.)
 
 ## Preparing your account
 

py/engdoc/extending/index.md

@@ -2,14 +2,14 @@
 
 !!! note
 
-    If you're a user of Firebase Genkit and landed here,
+    If you're a user of Genkit and landed here,
     this is engineering documentation that someone contributing
     to Genkit would use, not necessarily only use it.
 
     For more information about how to get started with using
-    Firebase Genkit, please see: [User Guide](.)
+    Genkit, please see: [User Guide](.)
 
-Firebase Genkit models a generative AI framework allowing application developers
+Genkit models a generative AI framework allowing application developers
 to work with abstractions to allow the use of pluggable implementations of the
 various elements of generative AI. It has SDKs for JavaScript, Go, and Python.
 

py/engdoc/index.md

@@ -2,12 +2,12 @@
 
 !!! note
 
-    If you're a user of Firebase Genkit and landed here,
+    If you're a user of Genkit and landed here,
     this is engineering documentation that someone contributing
     to Genkit would use, not necessarily only use it.
 
     For more information about how to get started with using
-    Firebase Genkit, please see: [User Guide](.)
+    Genkit, please see: [User Guide](.)
 
 ## What is Genkit?