Vertex AI GenAI API

Service: aiplatform.googleapis.com

To call this service, we recommend that you use the Google-provided client libraries. If your application needs to use your own libraries to call this service, use the following information when you make the API requests.

Discovery document

A Discovery Document is a machine-readable specification for describing and consuming REST APIs. It is used to build client libraries, IDE plugins, and other tools that interact with Google APIs. One service may provide multiple discovery documents. This service provides the following discovery documents:

Service endpoint

A service endpoint is a base URL that specifies the network address of an API service. One service might have multiple service endpoints. This service has the following service endpoint and all URIs below are relative to this service endpoint:

https://aiplatform.googleapis.com

REST Resource: v1.media

Methods
`upload`	`POST /v1/{parent}/ragFiles:upload` `POST /upload/v1/{parent}/ragFiles:upload` Upload a file into a RagCorpus.

REST Resource: v1.projects

Methods
`getCacheConfig`	`GET /v1/{name}` Gets a GenAI cache config.
`updateCacheConfig`	`PATCH /v1/{cacheConfig.name}` Updates a cache config.

REST Resource: v1.projects.locations

Methods
`augmentPrompt`	`POST /v1/{parent}:augmentPrompt` Given an input prompt, it returns augmented prompt from vertex rag store to guide LLM towards generating grounded responses.
`corroborateContent`	`POST /v1/{parent}:corroborateContent` Given an input text, it returns a score that evaluates the factuality of the text.
`evaluateDataset`	`POST /v1/{location}:evaluateDataset` Evaluates a dataset based on a set of given metrics.
`evaluateInstances`	`POST /v1/{location}:evaluateInstances` Evaluates instances based on a given metric.
`generateInstanceRubrics`	`POST /v1/{location}:generateInstanceRubrics` Generates rubrics for a given prompt.
`generateSyntheticData`	`POST /v1/{location}:generateSyntheticData` Generates synthetic data based on the provided configuration.
`getRagEngineConfig`	`GET /v1/{name}` Gets a RagEngineConfig.
`retrieveContexts`	`POST /v1/{parent}:retrieveContexts` Retrieves relevant contexts for a query.
`updateRagEngineConfig`	`PATCH /v1/{ragEngineConfig.name}` Updates a RagEngineConfig.

REST Resource: v1.projects.locations.cachedContents

Methods
`create`	`POST /v1/{parent}/cachedContents` Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.
`delete`	`DELETE /v1/{name}` Deletes cached content
`get`	`GET /v1/{name}` Gets cached content configurations
`list`	`GET /v1/{parent}/cachedContents` Lists cached contents in a project
`patch`	`PATCH /v1/{cachedContent.name}` Updates cached content configurations

REST Resource: v1.projects.locations.endpoints

Methods
`computeTokens`	`POST /v1/{endpoint}:computeTokens` Return a list of tokens based on the input text.
`countTokens`	`POST /v1/{endpoint}:countTokens` Perform a token counting.
`fetchPredictOperation`	`POST /v1/{endpoint}:fetchPredictOperation` Fetch an asynchronous online prediction operation.
`generateContent`	`POST /v1/{model}:generateContent` Generate content with multimodal inputs.
`predict`	`POST /v1/{endpoint}:predict` Request message for running inference on Google's generative AI models on Vertex AI.
`predictLongRunning`	`POST /v1/{endpoint}:predictLongRunning`
`rawPredict`	`POST /v1/{endpoint}:rawPredict` Perform an online prediction with an arbitrary HTTP payload.
`serverStreamingPredict`	`POST /v1/{endpoint}:serverStreamingPredict` Perform a server-side streaming online prediction request for Vertex LLM streaming.
`streamGenerateContent`	`POST /v1/{model}:streamGenerateContent` Generate content with multimodal inputs with streaming support.
`streamRawPredict`	`POST /v1/{endpoint}:streamRawPredict` Perform a streaming online prediction with an arbitrary HTTP payload.

REST Resource: v1.projects.locations.endpoints.chat

Methods
`completions`	`POST /v1/{endpoint}/chat/completions` Exposes an OpenAI-compatible endpoint for chat completions.

REST Resource: v1.projects.locations.endpoints.deployedModels.invoke

Methods
`invoke`	`POST /v1/{endpoint}/deployedModels/{deployedModelId}/invoke/**` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1.projects.locations.endpoints.invoke

Methods
`invoke`	`POST /v1/{endpoint}/invoke/**` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1.projects.locations.endpoints.openapi

Methods
`embeddings`	`POST /v1/{endpoint}/embeddings` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1.projects.locations.evaluationItems

Methods
`create`	`POST /v1/{parent}/evaluationItems` Creates an Evaluation Item.
`delete`	`DELETE /v1/{name}` Deletes an Evaluation Item.
`get`	`GET /v1/{name}` Gets an Evaluation Item.
`list`	`GET /v1/{parent}/evaluationItems` Lists Evaluation Items.

REST Resource: v1.projects.locations.evaluationRuns

Methods
`cancel`	`POST /v1/{name}:cancel` Cancels an Evaluation Run.
`create`	`POST /v1/{parent}/evaluationRuns` Creates an Evaluation Run.
`delete`	`DELETE /v1/{name}` Deletes an Evaluation Run.
`get`	`GET /v1/{name}` Gets an Evaluation Run.
`list`	`GET /v1/{parent}/evaluationRuns` Lists Evaluation Runs.

REST Resource: v1.projects.locations.evaluationSets

Methods
`create`	`POST /v1/{parent}/evaluationSets` Creates an Evaluation Set.
`delete`	`DELETE /v1/{name}` Deletes an Evaluation Set.
`get`	`GET /v1/{name}` Gets an Evaluation Set.
`list`	`GET /v1/{parent}/evaluationSets` Lists Evaluation Sets.
`patch`	`PATCH /v1/{evaluationSet.name}` Updates an Evaluation Set.

REST Resource: v1.projects.locations.models

Methods
`getIamPolicy`	`POST /v1/{resource}:getIamPolicy` Gets the access control policy for a resource.
`setIamPolicy`	`POST /v1/{resource}:setIamPolicy` Sets the access control policy on the specified resource.
`testIamPermissions`	`POST /v1/{resource}:testIamPermissions` Returns permissions that a caller has on the specified resource.

REST Resource: v1.projects.locations.operations

Methods
`cancel`	`POST /v1/{name}:cancel` Starts asynchronous cancellation on a long-running operation.
`delete`	`DELETE /v1/{name}` Deletes a long-running operation.
`get`	`GET /v1/{name}` Gets the latest state of a long-running operation.
`list`	`GET /v1/{name}/operations` Lists operations that match the specified filter in the request.
`wait`	`POST /v1/{name}:wait` Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

REST Resource: v1.projects.locations.publishers.models

Methods
`computeTokens`	`POST /v1/{endpoint}:computeTokens` Return a list of tokens based on the input text.
`countTokens`	`POST /v1/{endpoint}:countTokens` Perform a token counting.
`embedContent`	`POST /v1/{model}:embedContent` Embed content with multimodal inputs.
`fetchPredictOperation`	`POST /v1/{endpoint}:fetchPredictOperation` Fetch an asynchronous online prediction operation.
`generateContent`	`POST /v1/{model}:generateContent` Generate content with multimodal inputs.
`predict`	`POST /v1/{endpoint}:predict` Request message for running inference on Google's generative AI models on Vertex AI.
`predictLongRunning`	`POST /v1/{endpoint}:predictLongRunning`
`rawPredict`	`POST /v1/{endpoint}:rawPredict` Perform an online prediction with an arbitrary HTTP payload.
`serverStreamingPredict`	`POST /v1/{endpoint}:serverStreamingPredict` Perform a server-side streaming online prediction request for Vertex LLM streaming.
`streamGenerateContent`	`POST /v1/{model}:streamGenerateContent` Generate content with multimodal inputs with streaming support.
`streamRawPredict`	`POST /v1/{endpoint}:streamRawPredict` Perform a streaming online prediction with an arbitrary HTTP payload.

REST Resource: v1.projects.locations.ragCorpora

Methods
`create`	`POST /v1/{parent}/ragCorpora` Creates a RagCorpus.
`delete`	`DELETE /v1/{name}` Deletes a RagCorpus.
`get`	`GET /v1/{name}` Gets a RagCorpus.
`list`	`GET /v1/{parent}/ragCorpora` Lists RagCorpora in a Location.
`patch`	`PATCH /v1/{ragCorpus.name}` Updates a RagCorpus.

REST Resource: v1.projects.locations.ragCorpora.ragFiles

Methods
`delete`	`DELETE /v1/{name}` Deletes a RagFile.
`get`	`GET /v1/{name}` Gets a RagFile.
`import`	`POST /v1/{parent}/ragFiles:import` Import files from Google Cloud Storage or Google Drive into a RagCorpus.
`list`	`GET /v1/{parent}/ragFiles` Lists RagFiles in a RagCorpus.

REST Resource: v1.projects.locations.reasoningEngines

Methods
`create`	`POST /v1/{parent}/reasoningEngines` Creates a reasoning engine.
`delete`	`DELETE /v1/{name}` Deletes a reasoning engine.
`get`	`GET /v1/{name}` Gets a reasoning engine.
`list`	`GET /v1/{parent}/reasoningEngines` Lists reasoning engines in a location.
`patch`	`PATCH /v1/{reasoningEngine.name}` Updates a reasoning engine.
`query`	`POST /v1/{name}:query` Queries using a reasoning engine.
`streamQuery`	`POST /v1/{name}:streamQuery` Streams queries using a reasoning engine.

REST Resource: v1.projects.locations.tuningJobs

Methods
`cancel`	`POST /v1/{name}:cancel` Cancels a TuningJob.
`create`	`POST /v1/{parent}/tuningJobs` Creates a TuningJob.
`get`	`GET /v1/{name}` Gets a TuningJob.
`list`	`GET /v1/{parent}/tuningJobs` Lists TuningJobs in a Location.
`rebaseTunedModel`	`POST /v1/{parent}/tuningJobs:rebaseTunedModel` Rebase a TunedModel.

REST Resource: v1beta1.media

Methods
`upload`	`POST /v1beta1/{parent}/ragFiles:upload` `POST /upload/v1beta1/{parent}/ragFiles:upload` Upload a file into a RagCorpus.

REST Resource: v1beta1.projects

Methods
`getCacheConfig`	`GET /v1beta1/{name}` Gets a GenAI cache config.
`updateCacheConfig`	`PATCH /v1beta1/{cacheConfig.name}` Updates a cache config.

REST Resource: v1beta1.projects.locations

Methods
`augmentPrompt`	`POST /v1beta1/{parent}:augmentPrompt` Given an input prompt, it returns augmented prompt from vertex rag store to guide LLM towards generating grounded responses.
`corroborateContent`	`POST /v1beta1/{parent}:corroborateContent` Given an input text, it returns a score that evaluates the factuality of the text.
`evaluateDataset`	`POST /v1beta1/{location}:evaluateDataset` Evaluates a dataset based on a set of given metrics.
`evaluateInstances`	`POST /v1beta1/{location}:evaluateInstances` Evaluates instances based on a given metric.
`generateInstanceRubrics`	`POST /v1beta1/{location}:generateInstanceRubrics` Generates rubrics for a given prompt.
`generateSyntheticData`	`POST /v1beta1/{location}:generateSyntheticData` Generates synthetic data based on the provided configuration.
`getRagEngineConfig`	`GET /v1beta1/{name}` Gets a RagEngineConfig.
`retrieveContexts`	`POST /v1beta1/{parent}:retrieveContexts` Retrieves relevant contexts for a query.
`updateRagEngineConfig`	`PATCH /v1beta1/{ragEngineConfig.name}` Updates a RagEngineConfig.

REST Resource: v1beta1.projects.locations.cachedContents

Methods
`create`	`POST /v1beta1/{parent}/cachedContents` Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.
`delete`	`DELETE /v1beta1/{name}` Deletes cached content
`get`	`GET /v1beta1/{name}` Gets cached content configurations
`list`	`GET /v1beta1/{parent}/cachedContents` Lists cached contents in a project
`patch`	`PATCH /v1beta1/{cachedContent.name}` Updates cached content configurations

REST Resource: v1beta1.projects.locations.endpoints

Methods
`computeTokens`	`POST /v1beta1/{endpoint}:computeTokens` Return a list of tokens based on the input text.
`countTokens`	`POST /v1beta1/{endpoint}:countTokens` Perform a token counting.
`fetchPredictOperation`	`POST /v1beta1/{endpoint}:fetchPredictOperation` Fetch an asynchronous online prediction operation.
`generateContent`	`POST /v1beta1/{model}:generateContent` Generate content with multimodal inputs.
`getIamPolicy`	`POST /v1beta1/{resource}:getIamPolicy` Gets the access control policy for a resource.
`predict`	`POST /v1beta1/{endpoint}:predict` Request message for running inference on Google's generative AI models on Vertex AI.
`predictLongRunning`	`POST /v1beta1/{endpoint}:predictLongRunning`
`rawPredict`	`POST /v1beta1/{endpoint}:rawPredict` Perform an online prediction with an arbitrary HTTP payload.
`serverStreamingPredict`	`POST /v1beta1/{endpoint}:serverStreamingPredict` Perform a server-side streaming online prediction request for Vertex LLM streaming.
`setIamPolicy`	`POST /v1beta1/{resource}:setIamPolicy` Sets the access control policy on the specified resource.
`streamGenerateContent`	`POST /v1beta1/{model}:streamGenerateContent` Generate content with multimodal inputs with streaming support.
`streamRawPredict`	`POST /v1beta1/{endpoint}:streamRawPredict` Perform a streaming online prediction with an arbitrary HTTP payload.
`testIamPermissions`	`POST /v1beta1/{resource}:testIamPermissions` Returns permissions that a caller has on the specified resource.

REST Resource: v1beta1.projects.locations.endpoints.chat

Methods
`completions`	`POST /v1beta1/{endpoint}/chat/completions` Exposes an OpenAI-compatible endpoint for chat completions.

REST Resource: v1beta1.projects.locations.endpoints.deployedModels.invoke

Methods
`invoke`	`POST /v1beta1/{endpoint}/deployedModels/{deployedModelId}/invoke/**` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1beta1.projects.locations.endpoints.invoke

Methods
`invoke`	`POST /v1beta1/{endpoint}/invoke/**` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1beta1.projects.locations.endpoints.openapi

Methods
`embeddings`	`POST /v1beta1/{endpoint}/embeddings` Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

REST Resource: v1beta1.projects.locations.evaluationItems

Methods
`create`	`POST /v1beta1/{parent}/evaluationItems` Creates an Evaluation Item.
`delete`	`DELETE /v1beta1/{name}` Deletes an Evaluation Item.
`get`	`GET /v1beta1/{name}` Gets an Evaluation Item.
`list`	`GET /v1beta1/{parent}/evaluationItems` Lists Evaluation Items.

REST Resource: v1beta1.projects.locations.evaluationRuns

Methods
`cancel`	`POST /v1beta1/{name}:cancel` Cancels an Evaluation Run.
`create`	`POST /v1beta1/{parent}/evaluationRuns` Creates an Evaluation Run.
`delete`	`DELETE /v1beta1/{name}` Deletes an Evaluation Run.
`get`	`GET /v1beta1/{name}` Gets an Evaluation Run.
`list`	`GET /v1beta1/{parent}/evaluationRuns` Lists Evaluation Runs.

REST Resource: v1beta1.projects.locations.evaluationSets

Methods
`create`	`POST /v1beta1/{parent}/evaluationSets` Creates an Evaluation Set.
`delete`	`DELETE /v1beta1/{name}` Deletes an Evaluation Set.
`get`	`GET /v1beta1/{name}` Gets an Evaluation Set.
`list`	`GET /v1beta1/{parent}/evaluationSets` Lists Evaluation Sets.
`patch`	`PATCH /v1beta1/{evaluationSet.name}` Updates an Evaluation Set.

REST Resource: v1beta1.projects.locations.extensions

Methods
`delete`	`DELETE /v1beta1/{name}` Deletes an Extension.
`execute`	`POST /v1beta1/{name}:execute` Executes the request against a given extension.
`get`	`GET /v1beta1/{name}` Gets an Extension.
`import`	`POST /v1beta1/{parent}/extensions:import` Imports an Extension.
`list`	`GET /v1beta1/{parent}/extensions` Lists Extensions in a location.
`patch`	`PATCH /v1beta1/{extension.name}` Updates an Extension.
`query`	`POST /v1beta1/{name}:query` Queries an extension with a default controller.

REST Resource: v1beta1.projects.locations.models

Methods
`getIamPolicy`	`POST /v1beta1/{resource}:getIamPolicy` Gets the access control policy for a resource.
`setIamPolicy`	`POST /v1beta1/{resource}:setIamPolicy` Sets the access control policy on the specified resource.
`testIamPermissions`	`POST /v1beta1/{resource}:testIamPermissions` Returns permissions that a caller has on the specified resource.

REST Resource: v1beta1.projects.locations.operations

Methods
`cancel`	`POST /v1beta1/{name}:cancel` Starts asynchronous cancellation on a long-running operation.
`delete`	`DELETE /v1beta1/{name}` Deletes a long-running operation.
`get`	`GET /v1beta1/{name}` Gets the latest state of a long-running operation.
`list`	`GET /v1beta1/{name}/operations` Lists operations that match the specified filter in the request.
`wait`	`POST /v1beta1/{name}:wait` Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

REST Resource: v1beta1.projects.locations.publishers

Methods
`getIamPolicy`	`POST /v1beta1/{resource}:getIamPolicy` Gets the access control policy for a resource.

REST Resource: v1beta1.projects.locations.publishers.models

Methods
`computeTokens`	`POST /v1beta1/{endpoint}:computeTokens` Return a list of tokens based on the input text.
`countTokens`	`POST /v1beta1/{endpoint}:countTokens` Perform a token counting.
`embedContent`	`POST /v1beta1/{model}:embedContent` Embed content with multimodal inputs.
`fetchPredictOperation`	`POST /v1beta1/{endpoint}:fetchPredictOperation` Fetch an asynchronous online prediction operation.
`generateContent`	`POST /v1beta1/{model}:generateContent` Generate content with multimodal inputs.
`getIamPolicy`	`POST /v1beta1/{resource}:getIamPolicy` Gets the access control policy for a resource.
`predict`	`POST /v1beta1/{endpoint}:predict` Request message for running inference on Google's generative AI models on Vertex AI.
`predictLongRunning`	`POST /v1beta1/{endpoint}:predictLongRunning`
`rawPredict`	`POST /v1beta1/{endpoint}:rawPredict` Perform an online prediction with an arbitrary HTTP payload.
`serverStreamingPredict`	`POST /v1beta1/{endpoint}:serverStreamingPredict` Perform a server-side streaming online prediction request for Vertex LLM streaming.
`streamGenerateContent`	`POST /v1beta1/{model}:streamGenerateContent` Generate content with multimodal inputs with streaming support.
`streamRawPredict`	`POST /v1beta1/{endpoint}:streamRawPredict` Perform a streaming online prediction with an arbitrary HTTP payload.

REST Resource: v1beta1.projects.locations.ragCorpora

Methods
`create`	`POST /v1beta1/{parent}/ragCorpora` Creates a RagCorpus.
`delete`	`DELETE /v1beta1/{name}` Deletes a RagCorpus.
`get`	`GET /v1beta1/{name}` Gets a RagCorpus.
`list`	`GET /v1beta1/{parent}/ragCorpora` Lists RagCorpora in a Location.
`patch`	`PATCH /v1beta1/{ragCorpus.name}` Updates a RagCorpus.

REST Resource: v1beta1.projects.locations.ragCorpora.ragFiles

Methods
`delete`	`DELETE /v1beta1/{name}` Deletes a RagFile.
`get`	`GET /v1beta1/{name}` Gets a RagFile.
`import`	`POST /v1beta1/{parent}/ragFiles:import` Import files from Google Cloud Storage or Google Drive into a RagCorpus.
`list`	`GET /v1beta1/{parent}/ragFiles` Lists RagFiles in a RagCorpus.

REST Resource: v1beta1.projects.locations.reasoningEngines

Methods
`create`	`POST /v1beta1/{parent}/reasoningEngines` Creates a reasoning engine.
`delete`	`DELETE /v1beta1/{name}` Deletes a reasoning engine.
`get`	`GET /v1beta1/{name}` Gets a reasoning engine.
`list`	`GET /v1beta1/{parent}/reasoningEngines` Lists reasoning engines in a location.
`patch`	`PATCH /v1beta1/{reasoningEngine.name}` Updates a reasoning engine.
`query`	`POST /v1beta1/{name}:query` Queries using a reasoning engine.
`streamQuery`	`POST /v1beta1/{name}:streamQuery` Streams queries using a reasoning engine.

REST Resource: v1beta1.projects.locations.reasoningEngines.a2a.v1

Methods
`card`	`GET /v1beta1/{name}/a2a/{a2aEndpoint}` Get request for reasoning engine instance via the A2A get protocol apis.

REST Resource: v1beta1.projects.locations.reasoningEngines.a2a.v1.message

Methods
`send`	`POST /v1beta1/{name}/a2a/{a2aEndpoint}:send` Send post request for reasoning engine instance via the A2A post protocol apis.
`stream`	`POST /v1beta1/{name}/a2a/{a2aEndpoint}:stream` Streams queries using a reasoning engine instance via the A2A streaming protocol apis.

REST Resource: v1beta1.projects.locations.reasoningEngines.a2a.v1.tasks

Methods
`a2aGetReasoningEngine`	`GET /v1beta1/{name}/a2a/{a2aEndpoint}` Get request for reasoning engine instance via the A2A get protocol apis.
`cancel`	`POST /v1beta1/{name}/a2a/{a2aEndpoint}:cancel` Send post request for reasoning engine instance via the A2A post protocol apis.
`pushNotificationConfigs`	`GET /v1beta1/{name}/a2a/{a2aEndpoint}` Get request for reasoning engine instance via the A2A get protocol apis.
`subscribe`	`GET /v1beta1/{name}/a2a/{a2aEndpoint}:subscribe` Stream get request for reasoning engine instance via the A2A stream get protocol apis.

REST Resource: v1beta1.projects.locations.reasoningEngines.a2a.v1.tasks.pushNotificationConfigs

Methods
`a2aGetReasoningEngine`	`GET /v1beta1/{name}/a2a/{a2aEndpoint}` Get request for reasoning engine instance via the A2A get protocol apis.

REST Resource: v1beta1.projects.locations.reasoningEngines.memories

Methods
`create`	`POST /v1beta1/{parent}/memories` Create a Memory.
`delete`	`DELETE /v1beta1/{name}` Delete a Memory.
`generate`	`POST /v1beta1/{parent}/memories:generate` Generate memories.
`get`	`GET /v1beta1/{name}` Get a Memory.
`list`	`GET /v1beta1/{parent}/memories` List Memories.
`patch`	`PATCH /v1beta1/{memory.name}` Update a Memory.
`retrieve`	`POST /v1beta1/{parent}/memories:retrieve` Retrieve memories.
`rollback`	`POST /v1beta1/{name}:rollback` Rollback Memory to a specific revision.

REST Resource: v1beta1.projects.locations.reasoningEngines.memories.revisions

Methods
`get`	`GET /v1beta1/{name}` Get a Memory Revision.
`list`	`GET /v1beta1/{parent}/revisions` List Memory Revisions for a Memory.

REST Resource: v1beta1.projects.locations.reasoningEngines.sessions

Methods
`appendEvent`	`POST /v1beta1/{name}:appendEvent` Appends an event to a given session.
`create`	`POST /v1beta1/{parent}/sessions` Creates a new `Session`.
`delete`	`DELETE /v1beta1/{name}` Deletes details of the specific `Session`.
`get`	`GET /v1beta1/{name}` Gets details of the specific `Session`.
`list`	`GET /v1beta1/{parent}/sessions` Lists `Sessions` in a given reasoning engine.
`patch`	`PATCH /v1beta1/{session.name}` Updates the specific `Session`.

REST Resource: v1beta1.projects.locations.reasoningEngines.sessions.events

Methods
`list`	`GET /v1beta1/{parent}/events` Lists `Events` in a given session.

REST Resource: v1beta1.projects.locations.tuningJobs

Methods
`cancel`	`POST /v1beta1/{name}:cancel` Cancels a TuningJob.
`create`	`POST /v1beta1/{parent}/tuningJobs` Creates a TuningJob.
`get`	`GET /v1beta1/{name}` Gets a TuningJob.
`list`	`GET /v1beta1/{parent}/tuningJobs` Lists TuningJobs in a Location.
`optimizePrompt`	`POST /v1beta1/{parent}/tuningJobs:optimizePrompt` Optimizes a prompt.
`rebaseTunedModel`	`POST /v1beta1/{parent}/tuningJobs:rebaseTunedModel` Rebase a TunedModel.