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    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.
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