From 9f174567f64ab9b77cb6ae49bb5e6aa47350469e Mon Sep 17 00:00:00 2001 From: Michael Doyle Date: Thu, 12 Dec 2024 09:47:49 -0500 Subject: [PATCH] docs: Updated Google Cloud plugin instructions (#1494) --- docs/plugins/google-cloud.md | 337 ++++++++++++++++-- .../cloud-ops-logs-explorer-menu.png | Bin 49181 -> 450225 bytes docs/resources/cloud-ops-metrics-explorer.png | Bin 69562 -> 261231 bytes docs/resources/cloud-ops-metrics-mgmt.png | Bin 40403 -> 560662 bytes 4 files changed, 299 insertions(+), 38 deletions(-) diff --git a/docs/plugins/google-cloud.md b/docs/plugins/google-cloud.md index 85e68233d..093047e2b 100644 --- a/docs/plugins/google-cloud.md +++ b/docs/plugins/google-cloud.md @@ -1,9 +1,10 @@ # Google Cloud plugin -The Google Cloud plugin exports Firebase Genkit's telemetry and logging data to -[Google Cloud's operations suite](https://cloud.google.com/products/operations) which powers the [Firebase AI Monitoring dashboard (private preview)](https://forms.gle/Lp5S1NxbZUXsWc457). - -> Note: Logging is facilitated by [Winston](https://github.com/winstonjs/winston) in favor of the [OpenTelemetry](https://opentelemetry.io/) logging APIs. Export of logs is done via a dedicated Winston Google Cloud exporter. +The Google Cloud plugin exports Firebase Genkit telemetry and logging data to +the +[Cloud Observability](https://cloud.google.com/products/operations) +suite, which powers the +[Firebase AI Monitoring](https://forms.gle/Lp5S1NxbZUXsWc457) dashboard. ## Installation @@ -11,26 +12,34 @@ The Google Cloud plugin exports Firebase Genkit's telemetry and logging data to npm i --save @genkit-ai/google-cloud ``` -If you want to locally run flows that use this plugin, you also need the -[Google Cloud CLI tool](https://cloud.google.com/sdk/docs/install) installed. +When running Genkit code locally that includes this plugin, you will also need +the [Google Cloud CLI tool](https://cloud.google.com/sdk/docs/install) +installed. ## Set up a Google Cloud account -This plugin requires a Google Cloud account ([sign up](https://cloud.google.com/gcp) if you don't already have one) and a Google Cloud project. +This plugin requires a Google Cloud account/project. All Firebase projects +include one by default ([GCP Console](https://console.cloud.google.com)), +or you can sign up at https://cloud.google.com. -Prior to adding the plugin, make sure that the following APIs are enabled for your project: +Prior to adding the plugin, make sure that the following APIs are enabled for +your GCP project: - [Cloud Logging API](https://console.cloud.google.com/apis/library/logging.googleapis.com) - [Cloud Trace API](https://console.cloud.google.com/apis/library/cloudtrace.googleapis.com) - [Cloud Monitoring API](https://console.cloud.google.com/apis/library/monitoring.googleapis.com) -These APIs should be listed in the [API dashboard](https://console.cloud.google.com/apis/dashboard) for your project. +These APIs should be listed in the +[API dashboard](https://console.cloud.google.com/apis/dashboard) for your +project. -Click [here](https://support.google.com/googleapi/answer/6158841) to learn more about enabling and disabling APIs. +Click [here](https://support.google.com/googleapi/answer/6158841) to learn more +about enabling and disabling APIs. ## Genkit configuration -To enable exporting to Google Cloud Tracing, Logging, and Monitoring, simply call `enableGoogleCloudTelemetry()`: +To enable Cloud Tracing, Logging, and Monitoring (metrics), simply call +`enableGoogleCloudTelemetry()`: ```ts import { enableGoogleCloudTelemetry } from '@genkit-ai/google-cloud'; @@ -38,35 +47,70 @@ import { enableGoogleCloudTelemetry } from '@genkit-ai/google-cloud'; enableGoogleCloudTelemetry(); ``` -When running in production, your telemetry gets automatically exported. +When running in production, telemetry will be exported automatically. -### Authentication +### Authentication and authorization -The plugin requires the Google Cloud project ID and your Google Cloud project credentials. If you're running your flow from a Google Cloud environment (Cloud Functions, Cloud Run, etc), the project ID and credentials are set automatically. +The plugin requires a Google Cloud project ID and application credentials. -#### Application Default Credentials +#### Google Cloud -Running in other environments requires setting the `GCLOUD_PROJECT` environment variable to your Google Cloud project and authenticating using the `gcloud` tool: +If deploying your code to a Google Cloud environment (Cloud +Functions, Cloud Run, etc), the project ID and credentials will be discovered +automatically via +[Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc). -```posix-terminal -gcloud auth application-default login -``` +You will need to apply the following roles to the service account that is +running your code (i.e. 'attached service account') via the +[IAM Console](https://pantheon.corp.google.com/iam-admin/iam): -For more information, see the [Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc) docs. +- `roles/monitoring.metricWriter` +- `roles/cloudtrace.agent` +- `roles/logging.logWriter` -#### Service Account Credentials +#### Local Development -If you are using a service account and running outside of a Google Cloud environment, you can set your credentials as an environment variable. Follow instructions here to [set up your Google Cloud Service Account Key](https://cloud.google.com/iam/docs/keys-create-delete#creating). +When doing local development, in order for your user credentials to be available +to the plugin, additional steps are required. -Once you have downloaded the key file, you can specify the credentials in two ways; a file location using the `GOOGLE_APPLICATION_CREDENTIALS` environment variable or directly copy the contents of the json file to the environment variable `GCLOUD_SERVICE_ACCOUNT_CREDS`. +1. Set the `GCLOUD_PROJECT` environment variable to your Google Cloud project. -File path: +2. Authenticate using the `gcloud` CLI: -``` -GOOGLE_APPLICATION_CREDENTIALS = "path/to/your/key/file" -``` + ```posix-terminal + gcloud auth application-default login + ``` + +#### Production environments outside of Google Cloud + +If possible, it is still recommended to leverage the +[Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc) +process to make credentials available to the plugin. + +Typically this involves generating a service account key/pair and deploying +those credentials to your production environment. + +1. Follow the instructions to set up a +[service account key](https://cloud.google.com/iam/docs/keys-create-delete#creating). -Direct copy: +2. Ensure the service account has the following roles: + - `roles/monitoring.metricWriter` + - `roles/cloudtrace.agent` + - `roles/logging.logWriter` + +3. Deploy the credential file to production (**do not** check into source code) + +4. Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable as the path to +the credential file. + + ``` + GOOGLE_APPLICATION_CREDENTIALS = "path/to/your/key/file" + ``` + +In some serverless environments, you may not be able to deploy a credential +file. In this case, as an alternative to steps 3 & 4 above, you can set the +`GCLOUD_SERVICE_ACCOUNT_CREDS` environment variable with the contents of the +credential file as follows: ``` GCLOUD_SERVICE_ACCOUNT_CREDS='{ @@ -85,7 +129,10 @@ GCLOUD_SERVICE_ACCOUNT_CREDS='{ ## Plugin configuration -The `enableGoogleCloudTelemetry()` function takes an optional configuration object which configures the [OpenTelemetry NodeSDK](https://open-telemetry.github.io/opentelemetry-js/classes/_opentelemetry_sdk_node.NodeSDK.html) instance. +The `enableGoogleCloudTelemetry()` function takes an optional configuration +object which configures the +[OpenTelemetry NodeSDK](https://open-telemetry.github.io/opentelemetry-js/classes/_opentelemetry_sdk_node.NodeSDK.html) +instance. ```ts import { AlwaysOnSampler } from '@opentelemetry/sdk-trace-base'; @@ -102,14 +149,18 @@ enableGoogleCloudTelemetry({ metricExportIntervalMillis: 5_000, }); ``` -The configuration objects allows fine grained control over various aspects of the telemetry export outlined below. +The configuration objects allows fine grained control over various aspects of +the telemetry export outlined below. #### credentials -Allows specifying credentials directly using [JWTInput](http://cloud/nodejs/docs/reference/google-auth-library/latest/google-auth-library/jwtinput) from the google-auth library. +Allows specifying credentials directly using +[JWTInput](http://cloud/nodejs/docs/reference/google-auth-library/latest/google-auth-library/jwtinput) +from the google-auth library. #### sampler -For cases where exporting all traces isn't practical, OpenTelemetry allows trace [sampling](https://opentelemetry.io/docs/languages/java/instrumentation/#sampler). +For cases where exporting all traces isn't practical, OpenTelemetry allows trace +[sampling](https://opentelemetry.io/docs/languages/java/instrumentation/#sampler). There are four preconfigured samplers: @@ -120,7 +171,11 @@ There are four preconfigured samplers: #### autoInstrumentation & autoInstrumentationConfig -Enabling [automatic instrumentation](https://opentelemetry.io/docs/languages/js/automatic/) allows OpenTelemetry to capture telemetry data from [third-party libraries](https://github.com/open-telemetry/opentelemetry-js-contrib/blob/main/metapackages/auto-instrumentations-node/src/utils.ts) without the need to modify code. +Enabling +[automatic instrumentation](https://opentelemetry.io/docs/languages/js/automatic/) +allows OpenTelemetry to capture telemetry data from +[third-party libraries](https://github.com/open-telemetry/opentelemetry-js-contrib/blob/main/metapackages/auto-instrumentations-node/src/utils.ts) +without the need to modify code. #### metricExportIntervalMillis @@ -134,11 +189,13 @@ This field specifies the timeout for the metrics export in milliseconds. #### disableMetrics -Provides an override that disables metrics export while still exporting traces and logs. +Provides an override that disables metrics export while still exporting traces +and logs. #### disableTraces -Provides an override that disables exporting traces while still exprting metrics and logs. +Provides an override that disables exporting traces while still exprting metrics +and logs. #### disableLoggingIO @@ -146,10 +203,214 @@ Provides an override that disables collecting input and output logs. #### forceDevExport -This option will force Genkit to export telemetry and log data when running in the `dev` environment (e.g. locally). +This option will force Genkit to export telemetry and log data when running in +the `dev` environment (e.g. locally). -> Note: When running locally, internal telemetry buffers may not fully flush prior to the process exiting, resulting in an incomplete telemetry export. +> Note: When running locally, internal telemetry buffers may not fully flush +prior to the process exiting, resulting in an incomplete telemetry export. ## Test your integration -When configuring the plugin, use `forceDevExport: true` to enable telemetry export for local runs. Navigate to the Google Cloud Logs, Metrics, or Trace Explorer to view telemetry. Alternatively, navigate to the [Firebase AI Monitoring dashboard (private preview)](https://forms.gle/Lp5S1NxbZUXsWc457) for an AI-idiomatic view of telemetry. +When configuring the plugin, use `forceDevExport: true` to enable telemetry +export for local runs. Navigate to the Google Cloud Logs, Metrics, or Trace +Explorer to view telemetry. + +# Google Cloud Observability suite + +Once your code (e.g. flow) is deployed, navigate to the +[Cloud Monitoring](https://console.cloud.google.com/monitoring/) dashboard and +select your project. From here, you can easily navigate between the Logs, +Metrics and Trace explorers for production monitoring. + + + +## Logs and traces + +From the left hand side menu, click 'Logs explorer' under the 'Explore' heading. + + + +Here, you will see all logs that are associated with your deployed Genkit code, +including `console.log()`. Any log which has the prefix `[genkit]` is a +Genkit-internal log that contains information that may be interesting for +debugging purposes. For example, Genkit logs in the format `Config[...]` contain +metadata such as the temperature and topK values for specific LLM inferences. +Logs in the format `Output[...]` contain LLM responses while `Input[...]` logs +contain the prompts. Cloud Logging has robust ACLs that allow fine grained +control over access to sensitive logs. + +> Note: Prompts and LLM responses are redacted from trace attributes in Cloud +Trace. For specific log lines, it is possible to navigate to their respective +traces by clicking on the extended menu + icon and +selecting "View in trace details". + + + +This will bring up a trace preview pane providing a quick glance of the details +of the trace. To get to the full details, click the "View in Trace" link at the +top right of the pane. + + + +The most prominent navigation element in Cloud Trace is the trace scatter plot. +It contains all collected traces in a given time span. + + + +Clicking on each data point will show its details below the scatter plot. + + + +The detailed view contains the flow shape, including all steps, and important +timing information. Cloud Trace has the ability to interleave all logs +associated with a given trace within this view. Select the "Show expanded" +option in the "Logs & events" drop down. + + + +The resultant view allows detailed examination of logs in the context of the +trace, including prompts and LLM responses. + + + +## Metrics + +Viewing all metrics exported by Genkit can be done by clicking on +'Metrics management' under the 'Configure' heading in the left hand side menu. + + + +The metrics management console contains a tabular view of all collected metrics, +including those that pertain to Cloud Run and its surrounding environment. +Clicking on the 'Workload' option will reveal a list that includes +Genkit-collected metrics. Any metric with the `genkit` prefix constitutes an +internal Genkit metric. + + + +Genkit collects several categories of metrics including: feature, action, and +generate. Each metric has several useful dimensions facilitating robust +filtering and grouping. + +Common dimensions include: + +- `flow_name` - the top-level name of the flow. +- `flow_path` - the span and its parent span chain up to the root span. +- `error_code` - in case of an error, the corresponding error code. +- `error_message` - in case of an error, the corresponding error message. +- `model` - the name of the model. + +### Feature metrics + +Features are the top-level entry-point to your Genkit code. In most cases, this +will be a flow. Otherwise, this will be the top-most span in a trace. + +| Name | Type | Description | +| ----------------------- | --------- | ----------------------- | +| genkit/feature/requests | Counter | Number of requests | +| genkit/feature/latency | Histogram | Execution latency in ms | + +Each feature metric contains the following dimensions: + +| Name | Description | +| ------------- | -------------------------------------------------------------------------------- | +| name | The name of the feature. In most cases, this is the top-level Genkit flow | +| status | 'success' or 'failure' depending on whether or not the feature request succeeded | +| error | Only set when `status=failure`. Contains the error type that caused the failure | +| source | The Genkit source language. Eg. 'ts' | +| sourceVersion | The Genkit framework version | + + +### Action metrics + +Actions represent a generic step of execution within Genkit. Each of these steps +will have the following metrics tracked: + +| Name | Type | Description | +| ----------------------- | --------- | --------------------------------------------- | +| genkit/action/requests | Counter | Number of times this action has been executed | +| genkit/action/latency | Histogram | Execution latency in ms | + +Each action metric contains the following dimensions: + +| Name | Description | +| ------------- | ---------------------------------------------------------------------------------------------------- | +| name | The name of the action | +| featureName | The name of the parent feature being executed | +| path | The path of execution from the feature root to this action. eg. '/myFeature/parentAction/thisAction' | +| status | 'success' or 'failure' depending on whether or not the action succeeded | +| error | Only set when `status=failure`. Contains the error type that caused the failure | +| source | The Genkit source language. Eg. 'ts' | +| sourceVersion | The Genkit framework version | + +### Generate metrics + +These are special action metrics relating to actions that interact with a model. +In addition to requests and latency, input and output are also tracked, with +model specific dimensions that make debugging and configuration tuning easier. + +| Name | Type | Description | +| ------------------------------------ | --------- | ------------------------------------------ | +| genkit/ai/generate/requests | Counter | Number of times this model has been called | +| genkit/ai/generate/latency | Histogram | Execution latency in ms | +| genkit/ai/generate/input/tokens | Counter | Input tokens | +| genkit/ai/generate/output/tokens | Counter | Output tokens | +| genkit/ai/generate/input/characters | Counter | Input characters | +| genkit/ai/generate/output/characters | Counter | Output characters | +| genkit/ai/generate/input/images | Counter | Input images | +| genkit/ai/generate/output/images | Counter | Output images | +| genkit/ai/generate/input/audio | Counter | Input audio files | +| genkit/ai/generate/output/audio | Counter | Output audio files | + +Each generate metric contains the following dimensions: + +| Name | Description | +| --------------- | ---------------------------------------------------------------------------------------------------- | +| modelName | The name of the model | +| featureName | The name of the parent feature being executed | +| path | The path of execution from the feature root to this action. eg. '/myFeature/parentAction/thisAction' | +| latencyMs | The response time taken by the model | +| status | 'success' or 'failure' depending on whether or not the feature request succeeded | +| error | Only set when `status=failure`. Contains the error type that caused the failure | +| source | The Genkit source language. Eg. 'ts' | +| sourceVersion | The Genkit framework version | + +Visualizing metrics can be done through the Metrics Explorer. Using the left +hand side menu, click 'Metrics explorer' under the 'Explore' heading. + + + +Select a metrics by clicking on the 'Select a metric' dropdown, selecting +'Generic Node', 'Genkit', and a metric. + + + +The visualization of the metric will depend on its type (counter, histogram, +etc). The Metrics Explorer provides robust aggregation and querying facilities +to help graph metrics by their various dimensions. + + + +## Telemetry delay + +There may be a slight delay before telemetry for a particular execution of a +flow is displayed in Cloud's operations suite. In most cases, this delay is +under 1 minute. + +## Quotas and limits + +There are several quotas that are important to keep in mind: + +- [Cloud Trace Quotas](http://cloud.google.com/trace/docs/quotas) +- [Cloud Logging Quotas](http://cloud.google.com/logging/quotas) +- [Cloud Monitoring Quotas](http://cloud.google.com/monitoring/quotas) + +## Cost + +Cloud Logging, Cloud Trace, and Cloud Monitoring have generous free tiers. +Specific pricing can be found at the following links: + +- [Cloud Logging Pricing](http://cloud.google.com/stackdriver/pricing#google-cloud-observability-pricing) +- [Cloud Trace Pricing](https://cloud.google.com/trace#pricing) +- [Cloud Monitoring Pricing](https://cloud.google.com/stackdriver/pricing#monitoring-pricing-summary) diff --git a/docs/resources/cloud-ops-logs-explorer-menu.png b/docs/resources/cloud-ops-logs-explorer-menu.png index dddb0868f3f31c718a31723cafb6606761d2513e..9968ab384d6909becf6441312761889e0e002d3b 100644 GIT binary patch literal 450225 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