Package Properties and Attributes (1.130.0)

Summary of entries of Properties and Attributes for aiplatform.

API documentation for agent_engines property.

See more: vertexai.Client.agent_engines

API documentation for aio property.

See more: vertexai.Client.aio

API documentation for datasets property.

See more: vertexai.Client.datasets

API documentation for evals property.

See more: vertexai.Client.evals

API documentation for prompt_optimizer property.

See more: vertexai.Client.prompt_optimizer

API documentation for prompts property.

See more: vertexai.Client.prompts

API documentation for memories property.

See more: vertexai._genai.agent_engines.AgentEngines.memories

API documentation for sandboxes property.

See more: vertexai._genai.agent_engines.AgentEngines.sandboxes

API documentation for sessions property.

See more: vertexai._genai.agent_engines.AgentEngines.sessions

API documentation for memories property.

See more: vertexai._genai.agent_engines.AsyncAgentEngines.memories

API documentation for sessions property.

See more: vertexai._genai.agent_engines.AsyncAgentEngines.sessions

Unspecified accelerator type, which means no accelerator.

See more: vertexai._genai.types.AcceleratorType.ACCELERATOR_TYPE_UNSPECIFIED

Nvidia A100 80GB GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_A100_80GB

Nvidia B200 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_B200

Nvidia GB200 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_GB200

Nvidia H100 80Gb GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_H100_80GB

Nvidia H100 Mega 80Gb GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_H100_MEGA_80GB

Nvidia H200 141Gb GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_H200_141GB

Nvidia L4 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_L4

Nvidia RTX Pro 6000 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_RTX_PRO_6000

Nvidia Tesla A100 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_A100

//cloud.google.com/compute/docs/eol/k80-eol.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_K80

Nvidia Tesla P100 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_P100

Nvidia Tesla P4 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_P4

Nvidia Tesla T4 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_T4

Nvidia Tesla V100 GPU.

See more: vertexai._genai.types.AcceleratorType.NVIDIA_TESLA_V100

TPU v2.

See more: vertexai._genai.types.AcceleratorType.TPU_V2

TPU v3.

See more: vertexai._genai.types.AcceleratorType.TPU_V3

TPU v4.

See more: vertexai._genai.types.AcceleratorType.TPU_V4_POD

TPU v5.

See more: vertexai._genai.types.AcceleratorType.TPU_V5_LITEPOD

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngine.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineConfig.model_config

The agent framework to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.agent_framework

The agent server mode to use for deployment.

See more: vertexai._genai.types.AgentEngineConfigDict.agent_server_mode

The build options for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.build_options

The class methods to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.class_methods

The container concurrency to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.container_concurrency

The context spec to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.context_spec

The description of the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.description

The user-defined name of the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.display_name

The encryption spec to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.encryption_spec

The entrypoint module to be used for the Agent Engine This field only used when source_packages is specified.

See more: vertexai._genai.types.AgentEngineConfigDict.entrypoint_module

The entrypoint object to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.entrypoint_object

The environment variables to be set when running the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.env_vars

The set of extra user-provided packages (if any).

See more: vertexai._genai.types.AgentEngineConfigDict.extra_packages

The GCS bucket directory under staging_bucket to use for staging the artifacts needed.

See more: vertexai._genai.types.AgentEngineConfigDict.gcs_dir_name

Used to override HTTP request options.

See more: vertexai._genai.types.AgentEngineConfigDict.http_options

The identity type to use for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.identity_type

The labels to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.labels

The maximum number of instances to run for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.max_instances

The minimum number of instances to run for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.min_instances

The PSC interface config for PSC-I to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.psc_interface_config

The Python version to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.python_version

The set of PyPI dependencies needed.

See more: vertexai._genai.types.AgentEngineConfigDict.requirements

The user-provided path to the requirements file (if any).

See more: vertexai._genai.types.AgentEngineConfigDict.requirements_file

The resource limits to be applied to the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.resource_limits

The service account to be used for the Agent Engine.

See more: vertexai._genai.types.AgentEngineConfigDict.service_account

The user-provided paths to the source packages (if any).

See more: vertexai._genai.types.AgentEngineConfigDict.source_packages

The GCS bucket to use for staging the artifacts needed.

See more: vertexai._genai.types.AgentEngineConfigDict.staging_bucket

The underlying API client for asynchronous operations.

See more: vertexai._genai.types.AgentEngineDict.api_async_client

The underlying API client.

See more: vertexai._genai.types.AgentEngineDict.api_client

The underlying API resource (i.e.

See more: vertexai._genai.types.AgentEngineDict.api_resource

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperationDict.name

The response for generating memories.

See more: vertexai._genai.types.AgentEngineGenerateMemoriesOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineMemoryConfig.model_config

The description of the memory.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.description

Optional.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.disable_memory_revisions

The display name of the memory.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.display_name

Optional.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.expire_time

Used to override HTTP request options.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.http_options

Optional.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.revision_expire_time

now + TTL.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.revision_ttl

Optional.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.topics

Optional.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.ttl

Waits for the operation to complete before returning.

See more: vertexai._genai.types.AgentEngineMemoryConfigDict.wait_for_completion

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineMemoryOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineMemoryOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineMemoryOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineMemoryOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineMemoryOperationDict.name

The Agent Engine Memory.

See more: vertexai._genai.types.AgentEngineMemoryOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineOperationDict.name

The created Agent Engine.

See more: vertexai._genai.types.AgentEngineOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperationDict.name

The response for purging memories.

See more: vertexai._genai.types.AgentEnginePurgeMemoriesOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineRollbackMemoryOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineRollbackMemoryOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineRollbackMemoryOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineRollbackMemoryOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineRollbackMemoryOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineSandboxOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineSandboxOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineSandboxOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineSandboxOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineSandboxOperationDict.name

The Agent Engine Sandbox.

See more: vertexai._genai.types.AgentEngineSandboxOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AgentEngineSessionOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.AgentEngineSessionOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.AgentEngineSessionOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.AgentEngineSessionOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.AgentEngineSessionOperationDict.name

The Agent Engine Session.

See more: vertexai._genai.types.AgentEngineSessionOperationDict.response

Unspecified agent server mode.

See more: vertexai._genai.types.AgentServerMode.AGENT_SERVER_MODE_UNSPECIFIED

Experimental agent server mode.

See more: vertexai._genai.types.AgentServerMode.EXPERIMENTAL

Stable agent server mode.

See more: vertexai._genai.types.AgentServerMode.STABLE

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AggregatedMetricResult.model_config

Mean score of the metric.

See more: vertexai._genai.types.AggregatedMetricResultDict.mean_score

Name of the metric.

See more: vertexai._genai.types.AggregatedMetricResultDict.metric_name

Number of cases with errors in the dataset.

See more: vertexai._genai.types.AggregatedMetricResultDict.num_cases_error

Total number of cases in the dataset.

See more: vertexai._genai.types.AggregatedMetricResultDict.num_cases_total

Number of valid cases in the dataset.

See more: vertexai._genai.types.AggregatedMetricResultDict.num_cases_valid

Pass rate of the adaptive rubric metric.

See more: vertexai._genai.types.AggregatedMetricResultDict.pass_rate

Standard deviation of the metric.

See more: vertexai._genai.types.AggregatedMetricResultDict.stdev_score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfig.model_config

Actions are parts of events that are related to the session event.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.actions

The content of the session event.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.content

The error code of the session event.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.error_code

The error message of the session event.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.error_message

Metadata relating to the session event.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.event_metadata

Used to override HTTP request options.

See more: vertexai._genai.types.AppendAgentEngineSessionEventConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AppendAgentEngineSessionEventResponse.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ApplicableGuideline.model_config

See more: vertexai._genai.types.ApplicableGuidelineDict.applicable_guideline

See more: vertexai._genai.types.ApplicableGuidelineDict.suggested_improvement

See more: vertexai._genai.types.ApplicableGuidelineDict.text_after_change

See more: vertexai._genai.types.ApplicableGuidelineDict.text_before_change

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AssembleDataset.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AssembleDatasetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.AssembleDatasetConfigDict.http_options

The timeout for the assemble dataset request in seconds.

See more: vertexai._genai.types.AssembleDatasetConfigDict.timeout

The BigQuery destination of the assembled dataset.

See more: vertexai._genai.types.AssembleDatasetDict.bigquery_destination

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.AssessDatasetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.AssessDatasetConfigDict.http_options

The timeout for the assess dataset request in seconds.

See more: vertexai._genai.types.AssessDatasetConfigDict.timeout

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BatchPredictionResourceUsageAssessmentConfig.model_config

See more: vertexai._genai.types.BatchPredictionResourceUsageAssessmentConfigDict.model_name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BatchPredictionResourceUsageAssessmentResult.model_config

Number of audio tokens in the dataset.

See more: vertexai._genai.types.BatchPredictionResourceUsageAssessmentResultDict.audio_token_count

Number of tokens in the dataset.

See more: vertexai._genai.types.BatchPredictionResourceUsageAssessmentResultDict.token_count

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BatchPredictionValidationAssessmentConfig.model_config

See more: vertexai._genai.types.BatchPredictionValidationAssessmentConfigDict.model_name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BigQueryRequestSet.model_config

The column name of the response candidates in the BigQuery table.

See more: vertexai._genai.types.BigQueryRequestSetDict.candidate_response_columns

The column name of the prompt in the BigQuery table.

See more: vertexai._genai.types.BigQueryRequestSetDict.prompt_column

The column name of the rubrics in the BigQuery table.

See more: vertexai._genai.types.BigQueryRequestSetDict.rubrics_column

The sampling config for the BigQuery request set.

See more: vertexai._genai.types.BigQueryRequestSetDict.sampling_config

See more: vertexai._genai.types.BigQueryRequestSetDict.uri

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BigQuerySource.model_config

See more: vertexai._genai.types.BigQuerySourceDict.input_uri

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BleuInput.model_config

Required.

See more: vertexai._genai.types.BleuInputDict.instances

Required.

See more: vertexai._genai.types.BleuInputDict.metric_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BleuInstance.model_config

Required.

See more: vertexai._genai.types.BleuInstanceDict.prediction

Required.

See more: vertexai._genai.types.BleuInstanceDict.reference

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BleuMetricValue.model_config

Output only.

See more: vertexai._genai.types.BleuMetricValueDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.BleuResults.model_config

Output only.

See more: vertexai._genai.types.BleuResultsDict.bleu_metric_values

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CandidateResponse.model_config

The name of the candidate that produced the response.

See more: vertexai._genai.types.CandidateResponseDict.candidate

Intermediate events (such as tool calls and responses) that led to the final response.

See more: vertexai._genai.types.CandidateResponseDict.events

The text response.

See more: vertexai._genai.types.CandidateResponseDict.text

Fields and values that can be used to populate the response template.

See more: vertexai._genai.types.CandidateResponseDict.value

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CandidateResult.model_config

Additional results for the metric.

See more: vertexai._genai.types.CandidateResultDict.additional_results

The candidate that is being evaluated.

See more: vertexai._genai.types.CandidateResultDict.candidate

The explanation for the metric.

See more: vertexai._genai.types.CandidateResultDict.explanation

The metric that was evaluated.

See more: vertexai._genai.types.CandidateResultDict.metric

The rubric verdicts for the metric.

See more: vertexai._genai.types.CandidateResultDict.rubric_verdicts

The score of the metric.

See more: vertexai._genai.types.CandidateResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Chunk.model_config

Required.

See more: vertexai._genai.types.ChunkDict.data

Optional.

See more: vertexai._genai.types.ChunkDict.metadata

//www.iana.org/assignments/media-types/media-types.xhtml for the full list.

See more: vertexai._genai.types.ChunkDict.mime_type

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CometResult.model_config

Output only.

See more: vertexai._genai.types.CometResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ContainerSpec.model_config

The arguments to be passed when starting the container.

See more: vertexai._genai.types.ContainerSpecDict.args

The command to be invoked when the container is started.

See more: vertexai._genai.types.ContainerSpecDict.command

Environment variables to be passed to the container.

See more: vertexai._genai.types.ContainerSpecDict.env

Required.

See more: vertexai._genai.types.ContainerSpecDict.image_uri

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ContentMap.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ContentMapContents.model_config

Contents of the model input.

See more: vertexai._genai.types.ContentMapContentsDict.contents

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateAgentEngineConfig.model_config

The agent framework to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.agent_framework

The build options for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.build_options

The class methods to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.class_methods

The container concurrency to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.container_concurrency

Optional.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.context_spec

The description of the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.description

The user-defined name of the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.display_name

The encryption spec to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.encryption_spec

The entrypoint module to be used for the Agent Engine This field only used when source_packages is specified.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.entrypoint_module

The entrypoint object to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.entrypoint_object

Used to override HTTP request options.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.http_options

The labels to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.labels

The maximum number of instances to run for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.max_instances

The minimum number of instances to run for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.min_instances

Optional.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.psc_interface_config

The Python version to be used for the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.python_version

The user-provided path to the requirements file (if any).

See more: vertexai._genai.types.CreateAgentEngineConfigDict.requirements_file

The resource limits to be applied to the Agent Engine.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.resource_limits

The user-provided paths to the source packages (if any).

See more: vertexai._genai.types.CreateAgentEngineConfigDict.source_packages

Optional.

See more: vertexai._genai.types.CreateAgentEngineConfigDict.spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateAgentEngineSandboxConfig.model_config

The description of the sandbox.

See more: vertexai._genai.types.CreateAgentEngineSandboxConfigDict.description

The display name of the sandbox.

See more: vertexai._genai.types.CreateAgentEngineSandboxConfigDict.display_name

Used to override HTTP request options.

See more: vertexai._genai.types.CreateAgentEngineSandboxConfigDict.http_options

now + TTL.

See more: vertexai._genai.types.CreateAgentEngineSandboxConfigDict.ttl

Waits for the operation to complete before returning.

See more: vertexai._genai.types.CreateAgentEngineSandboxConfigDict.wait_for_completion

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateAgentEngineSessionConfig.model_config

The display name of the session.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.display_name

Optional.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.expire_time

Used to override HTTP request options.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.http_options

//goo.gl/xmQnxf for more information and examples of labels.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.labels

Session state which stores key conversation points.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.session_state

Optional.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.ttl

Waits for the operation to complete before returning.

See more: vertexai._genai.types.CreateAgentEngineSessionConfigDict.wait_for_completion

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateDatasetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateDatasetConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateDatasetVersionConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateDatasetVersionConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateEvaluationItemConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateEvaluationItemConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateEvaluationRunConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateEvaluationRunConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateEvaluationSetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateEvaluationSetConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreateMultimodalDatasetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreateMultimodalDatasetConfigDict.http_options

The timeout for the create dataset request in seconds.

See more: vertexai._genai.types.CreateMultimodalDatasetConfigDict.timeout

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreatePromptConfig.model_config

Customer-managed encryption key spec for a prompt dataset.

See more: vertexai._genai.types.CreatePromptConfigDict.encryption_spec

Used to override HTTP request options.

See more: vertexai._genai.types.CreatePromptConfigDict.http_options

The display name for the prompt.

See more: vertexai._genai.types.CreatePromptConfigDict.prompt_display_name

The timeout for the create_version request in seconds.

See more: vertexai._genai.types.CreatePromptConfigDict.timeout

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CreatePromptVersionConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.CreatePromptVersionConfigDict.http_options

The timeout for the create_version request in seconds.

See more: vertexai._genai.types.CreatePromptVersionConfigDict.timeout

The display name for the prompt version.

See more: vertexai._genai.types.CreatePromptVersionConfigDict.version_display_name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CustomJob.model_config

Output only.

See more: vertexai._genai.types.CustomJobDict.create_time

Required.

See more: vertexai._genai.types.CustomJobDict.display_name

Customer-managed encryption key options for a CustomJob.

See more: vertexai._genai.types.CustomJobDict.encryption_spec

JOB_STATE_SUCCEEDED , JOB_STATE_FAILED , JOB_STATE_CANCELLED .

See more: vertexai._genai.types.CustomJobDict.end_time

Output only.

See more: vertexai._genai.types.CustomJobDict.error

Required.

See more: vertexai._genai.types.CustomJobDict.job_spec

//goo.gl/xmQnxf for more information and examples of labels.

See more: vertexai._genai.types.CustomJobDict.labels

Output only.

See more: vertexai._genai.types.CustomJobDict.name

Output only.

See more: vertexai._genai.types.CustomJobDict.satisfies_pzi

Output only.

See more: vertexai._genai.types.CustomJobDict.satisfies_pzs

Output only.

See more: vertexai._genai.types.CustomJobDict.start_time

Output only.

See more: vertexai._genai.types.CustomJobDict.state

Output only.

See more: vertexai._genai.types.CustomJobDict.update_time

//cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) (one URI for each training node).

See more: vertexai._genai.types.CustomJobDict.web_access_uris

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CustomJobSpec.model_config

See more: vertexai._genai.types.CustomJobSpecDict.base_output_directory

Optional.

See more: vertexai._genai.types.CustomJobSpecDict.enable_dashboard_access

//cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell) to training containers.

See more: vertexai._genai.types.CustomJobSpecDict.enable_web_access

projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name} .

See more: vertexai._genai.types.CustomJobSpecDict.experiment

projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name} .

See more: vertexai._genai.types.CustomJobSpecDict.experiment_run

projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden If no version ID or alias is specified, the "default" version will be returned.

See more: vertexai._genai.types.CustomJobSpecDict.models

//cloud.google.com/vertex-ai/docs/general/vpc-peering).

See more: vertexai._genai.types.CustomJobSpecDict.network

Optional.

See more: vertexai._genai.types.CustomJobSpecDict.persistent_resource_id

//cloud.google.com/vertex-ai/docs/general/locations.

See more: vertexai._genai.types.CustomJobSpecDict.protected_artifact_location_id

Optional.

See more: vertexai._genai.types.CustomJobSpecDict.psc_interface_config

['vertex-ai-ip-range'].

See more: vertexai._genai.types.CustomJobSpecDict.reserved_ip_ranges

Scheduling options for a CustomJob.

See more: vertexai._genai.types.CustomJobSpecDict.scheduling

//cloud.google.com/vertex-ai/docs/general/access-control#service-agents) for the CustomJob's project is used.

See more: vertexai._genai.types.CustomJobSpecDict.service_account

projects/{project}/locations/{location}/tensorboards/{tensorboard} .

See more: vertexai._genai.types.CustomJobSpecDict.tensorboard

Required.

See more: vertexai._genai.types.CustomJobSpecDict.worker_pool_specs

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.CustomOutput.model_config

Output only.

See more: vertexai._genai.types.CustomOutputDict.raw_outputs

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Dataset.model_config

Output only.

See more: vertexai._genai.types.DatasetDict.create_time

Output only.

See more: vertexai._genai.types.DatasetDict.data_item_count

The description of the Dataset.

See more: vertexai._genai.types.DatasetDict.description

Required.

See more: vertexai._genai.types.DatasetDict.display_name

Customer-managed encryption key spec for a Dataset.

See more: vertexai._genai.types.DatasetDict.encryption_spec

Used to perform consistent read-modify-write updates.

See more: vertexai._genai.types.DatasetDict.etag

See more: vertexai._genai.types.DatasetDict.labels

Required.

See more: vertexai._genai.types.DatasetDict.metadata

Output only.

See more: vertexai._genai.types.DatasetDict.metadata_artifact

//google-cloud-aiplatform/schema/dataset/metadata/.

See more: vertexai._genai.types.DatasetDict.metadata_schema_uri

Optional.

See more: vertexai._genai.types.DatasetDict.model_reference

projects/{project}/locations/{location}/datasets/{dataset} .

See more: vertexai._genai.types.DatasetDict.name

Output only.

See more: vertexai._genai.types.DatasetDict.satisfies_pzi

Output only.

See more: vertexai._genai.types.DatasetDict.satisfies_pzs

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response.

See more: vertexai._genai.types.DatasetDict.saved_queries

Output only.

See more: vertexai._genai.types.DatasetDict.update_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DatasetOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DatasetOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DatasetOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DatasetOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DatasetOperationDict.name

The result of the dataset operation.

See more: vertexai._genai.types.DatasetOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DatasetVersion.model_config

Output only.

See more: vertexai._genai.types.DatasetVersionDict.big_query_dataset_name

Output only.

See more: vertexai._genai.types.DatasetVersionDict.create_time

The user-defined name of the DatasetVersion.

See more: vertexai._genai.types.DatasetVersionDict.display_name

Used to perform consistent read-modify-write updates.

See more: vertexai._genai.types.DatasetVersionDict.etag

Required.

See more: vertexai._genai.types.DatasetVersionDict.metadata

Output only.

See more: vertexai._genai.types.DatasetVersionDict.model_reference

projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version} .

See more: vertexai._genai.types.DatasetVersionDict.name

Output only.

See more: vertexai._genai.types.DatasetVersionDict.satisfies_pzi

Output only.

See more: vertexai._genai.types.DatasetVersionDict.satisfies_pzs

Output only.

See more: vertexai._genai.types.DatasetVersionDict.update_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.DeleteAgentEngineConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineMemoryConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.DeleteAgentEngineMemoryConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineMemoryOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeleteAgentEngineMemoryOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeleteAgentEngineMemoryOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeleteAgentEngineMemoryOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeleteAgentEngineMemoryOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeleteAgentEngineOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeleteAgentEngineOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeleteAgentEngineOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeleteAgentEngineOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineSandboxConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.DeleteAgentEngineSandboxConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineSandboxOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeleteAgentEngineSandboxOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeleteAgentEngineSandboxOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeleteAgentEngineSandboxOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeleteAgentEngineSandboxOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineSessionConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.DeleteAgentEngineSessionConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeleteAgentEngineSessionOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeleteAgentEngineSessionOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeleteAgentEngineSessionOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeleteAgentEngineSessionOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeleteAgentEngineSessionOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeletePromptConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.DeletePromptConfigDict.http_options

Timeout for the delete prompt operation in seconds.

See more: vertexai._genai.types.DeletePromptConfigDict.timeout

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeletePromptOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeletePromptOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeletePromptOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeletePromptOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeletePromptOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DeletePromptVersionOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.DeletePromptVersionOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.DeletePromptVersionOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.DeletePromptVersionOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.DeletePromptVersionOperationDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DiskSpec.model_config

Size in GB of the boot disk (default is 100GB).

See more: vertexai._genai.types.DiskSpecDict.boot_disk_size_gb

"pd-ssd" (Persistent Disk Solid State Drive), "pd-standard" (Persistent Disk Hard Disk Drive) or "hyperdisk-balanced".

See more: vertexai._genai.types.DiskSpecDict.boot_disk_type

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.DnsPeeringConfig.model_config

Required.

See more: vertexai._genai.types.DnsPeeringConfigDict.domain

Required.

See more: vertexai._genai.types.DnsPeeringConfigDict.target_network

Required.

See more: vertexai._genai.types.DnsPeeringConfigDict.target_project

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EnvVar.model_config

Required.

See more: vertexai._genai.types.EnvVarDict.name

$$(VAR_NAME).

See more: vertexai._genai.types.EnvVarDict.value

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvalCase.model_config

This field is experimental and may change in future versions.

See more: vertexai._genai.types.EvalCaseDict.agent_info

List of all prior messages in the conversation (chat history).

See more: vertexai._genai.types.EvalCaseDict.conversation_history

Unique identifier for the evaluation case.

See more: vertexai._genai.types.EvalCaseDict.eval_case_id

This field is experimental and may change in future versions.

See more: vertexai._genai.types.EvalCaseDict.intermediate_events

The most recent user message (current input).

See more: vertexai._genai.types.EvalCaseDict.prompt

User-provided, golden reference model reply to prompt in context of chat history; Reference for last response in a conversation.

See more: vertexai._genai.types.EvalCaseDict.reference

Model-generated replies to the last user message in a conversation.

See more: vertexai._genai.types.EvalCaseDict.responses

Named groups of rubrics associated with this prompt.

See more: vertexai._genai.types.EvalCaseDict.rubric_groups

System instruction for the model.

See more: vertexai._genai.types.EvalCaseDict.system_instruction

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvalCaseMetricResult.model_config

Error message for the metric.

See more: vertexai._genai.types.EvalCaseMetricResultDict.error_message

Explanation of the metric.

See more: vertexai._genai.types.EvalCaseMetricResultDict.explanation

Name of the metric.

See more: vertexai._genai.types.EvalCaseMetricResultDict.metric_name

Raw output of the metric.

See more: vertexai._genai.types.EvalCaseMetricResultDict.raw_output

The details of all the rubrics and their verdicts for rubric-based metrics.

See more: vertexai._genai.types.EvalCaseMetricResultDict.rubric_verdicts

Score of the metric.

See more: vertexai._genai.types.EvalCaseMetricResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvalCaseResult.model_config

Index of the evaluation case.

See more: vertexai._genai.types.EvalCaseResultDict.eval_case_index

A list of results, one for each response candidate of the EvalCase.

See more: vertexai._genai.types.EvalCaseResultDict.response_candidate_results

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvalRunInferenceConfig.model_config

The destination path for the inference results.

See more: vertexai._genai.types.EvalRunInferenceConfigDict.dest

The config for the generate content call.

See more: vertexai._genai.types.EvalRunInferenceConfigDict.generate_content_config

The prompt template to use for inference.

See more: vertexai._genai.types.EvalRunInferenceConfigDict.prompt_template

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateDatasetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.EvaluateDatasetConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateDatasetOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.EvaluateDatasetOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.EvaluateDatasetOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.EvaluateDatasetOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.EvaluateDatasetOperationDict.name

See more: vertexai._genai.types.EvaluateDatasetOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateDatasetRequestParameters.model_config

See more: vertexai._genai.types.EvaluateDatasetRequestParametersDict.autorater_config

See more: vertexai._genai.types.EvaluateDatasetRequestParametersDict.config

See more: vertexai._genai.types.EvaluateDatasetRequestParametersDict.dataset

See more: vertexai._genai.types.EvaluateDatasetRequestParametersDict.metrics

See more: vertexai._genai.types.EvaluateDatasetRequestParametersDict.output_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateInstancesConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.EvaluateInstancesConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateInstancesResponse.model_config

Results for bleu metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.bleu_results

Translation metrics.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.comet_result

Auto metric evaluation results.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.exact_match_results

A list of metric results for each evaluation case.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.metric_results

Result for Metricx metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.metricx_result

Result for pairwise metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.pairwise_metric_result

Generic metrics.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.pointwise_metric_result

Results for rouge metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.rouge_results

Result for rubric based metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.rubric_based_metric_result

Tool call metrics.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.tool_call_valid_results

Results for tool name match metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.tool_name_match_results

Results for tool parameter key match metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.tool_parameter_key_match_results

Results for tool parameter key value match metric.

See more: vertexai._genai.types.EvaluateInstancesResponseDict.tool_parameter_kv_match_results

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluateMethodConfig.model_config

The schema to use for the dataset.

See more: vertexai._genai.types.EvaluateMethodConfigDict.dataset_schema

The destination path for the evaluation results.

See more: vertexai._genai.types.EvaluateMethodConfigDict.dest

Used to override HTTP request options.

See more: vertexai._genai.types.EvaluateMethodConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationDataset.model_config

The BigQuery source for the evaluation dataset.

See more: vertexai._genai.types.EvaluationDatasetDict.bigquery_source

The name of the candidate model or agent for this evaluation dataset.

See more: vertexai._genai.types.EvaluationDatasetDict.candidate_name

The evaluation cases to be evaluated.

See more: vertexai._genai.types.EvaluationDatasetDict.eval_cases

The evaluation dataset in the form of a Pandas DataFrame.

See more: vertexai._genai.types.EvaluationDatasetDict.eval_dataset_df

The GCS source for the evaluation dataset.

See more: vertexai._genai.types.EvaluationDatasetDict.gcs_source

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationInstance.model_config

Data used for agent evaluation.

See more: vertexai._genai.types.EvaluationInstanceDict.agent_data

Other data used to populate placeholders based on their key.

See more: vertexai._genai.types.EvaluationInstanceDict.other_data

Data used to populate placeholder prompt in a metric prompt template.

See more: vertexai._genai.types.EvaluationInstanceDict.prompt

Data used to populate placeholder reference in a metric prompt template.

See more: vertexai._genai.types.EvaluationInstanceDict.reference

Data used to populate placeholder response in a metric prompt template.

See more: vertexai._genai.types.EvaluationInstanceDict.response

Named groups of rubrics associated with this prompt.

See more: vertexai._genai.types.EvaluationInstanceDict.rubric_groups

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationItem.model_config

Timestamp when this item was created.

See more: vertexai._genai.types.EvaluationItemDict.create_time

The display name of the EvaluationItem.

See more: vertexai._genai.types.EvaluationItemDict.display_name

Error for the evaluation item.

See more: vertexai._genai.types.EvaluationItemDict.error

The type of the EvaluationItem.

See more: vertexai._genai.types.EvaluationItemDict.evaluation_item_type

The request to evaluate.

See more: vertexai._genai.types.EvaluationItemDict.evaluation_request

The response from evaluation.

See more: vertexai._genai.types.EvaluationItemDict.evaluation_response

The Cloud Storage object where the request or response is stored.

See more: vertexai._genai.types.EvaluationItemDict.gcs_uri

Labels for the EvaluationItem.

See more: vertexai._genai.types.EvaluationItemDict.labels

Metadata for the EvaluationItem.

See more: vertexai._genai.types.EvaluationItemDict.metadata

The resource name of the EvaluationItem.

See more: vertexai._genai.types.EvaluationItemDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationItemRequest.model_config

Responses from model under test and other baseline models for comparison.

See more: vertexai._genai.types.EvaluationItemRequestDict.candidate_responses

The ideal response or ground truth.

See more: vertexai._genai.types.EvaluationItemRequestDict.golden_response

The request/prompt to evaluate.

See more: vertexai._genai.types.EvaluationItemRequestDict.prompt

Named groups of rubrics associated with this prompt.

See more: vertexai._genai.types.EvaluationItemRequestDict.rubrics

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationItemResult.model_config

TThe results for the metric.

See more: vertexai._genai.types.EvaluationItemResultDict.candidate_results

The request item that was evaluated.

See more: vertexai._genai.types.EvaluationItemResultDict.evaluation_request

The evaluation run that was used to generate the result.

See more: vertexai._genai.types.EvaluationItemResultDict.evaluation_run

Metadata about the evaluation result.

See more: vertexai._genai.types.EvaluationItemResultDict.metadata

The metric that was evaluated.

See more: vertexai._genai.types.EvaluationItemResultDict.metric

The request that was evaluated.

See more: vertexai._genai.types.EvaluationItemResultDict.request

The default value.

See more: vertexai._genai.types.EvaluationItemType.EVALUATION_ITEM_TYPE_UNSPECIFIED

The EvaluationItem is a request to evaluate.

See more: vertexai._genai.types.EvaluationItemType.REQUEST

The EvaluationItem is the result of evaluation.

See more: vertexai._genai.types.EvaluationItemType.RESULT

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationPrompt.model_config

Prompt template data.

See more: vertexai._genai.types.EvaluationPromptDict.prompt_template_data

Text prompt.

See more: vertexai._genai.types.EvaluationPromptDict.text

Fields and values that can be used to populate the prompt template.

See more: vertexai._genai.types.EvaluationPromptDict.value

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationResult.model_config

This field is experimental and may change in future versions.

See more: vertexai._genai.types.EvaluationResultDict.agent_info

A list of evaluation results for each evaluation case.

See more: vertexai._genai.types.EvaluationResultDict.eval_case_results

The input evaluation dataset(s) for the evaluation run.

See more: vertexai._genai.types.EvaluationResultDict.evaluation_dataset

Metadata for the evaluation run.

See more: vertexai._genai.types.EvaluationResultDict.metadata

A list of summary-level evaluation results for each metric.

See more: vertexai._genai.types.EvaluationResultDict.summary_metrics

A dictionary of win rates for each metric, only populated for multi-response evaluation runs.

See more: vertexai._genai.types.EvaluationResultDict.win_rates

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRun.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunAgentConfig.model_config

The developer instruction for the agent.

See more: vertexai._genai.types.EvaluationRunAgentConfigDict.developer_instruction

The tools available to the agent.

See more: vertexai._genai.types.EvaluationRunAgentConfigDict.tools

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunConfig.model_config

The autorater config for the evaluation run.

See more: vertexai._genai.types.EvaluationRunConfigDict.autorater_config

The metrics to be calculated in the evaluation run.

See more: vertexai._genai.types.EvaluationRunConfigDict.metrics

The output config for the evaluation run.

See more: vertexai._genai.types.EvaluationRunConfigDict.output_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunDataSource.model_config

See more: vertexai._genai.types.EvaluationRunDataSourceDict.bigquery_request_set

See more: vertexai._genai.types.EvaluationRunDataSourceDict.evaluation_set

See more: vertexai._genai.types.EvaluationRunDict.completion_time

See more: vertexai._genai.types.EvaluationRunDict.create_time

See more: vertexai._genai.types.EvaluationRunDict.data_source

See more: vertexai._genai.types.EvaluationRunDict.display_name

See more: vertexai._genai.types.EvaluationRunDict.error

The evaluation config for the evaluation run.

See more: vertexai._genai.types.EvaluationRunDict.evaluation_config

The parsed EvaluationItem results for the evaluation run.

See more: vertexai._genai.types.EvaluationRunDict.evaluation_item_results

The evaluation run formatted results.

See more: vertexai._genai.types.EvaluationRunDict.evaluation_run_results

See more: vertexai._genai.types.EvaluationRunDict.evaluation_set_snapshot

This field is experimental and may change in future versions.

See more: vertexai._genai.types.EvaluationRunDict.inference_configs

See more: vertexai._genai.types.EvaluationRunDict.labels

See more: vertexai._genai.types.EvaluationRunDict.metadata

See more: vertexai._genai.types.EvaluationRunDict.name

See more: vertexai._genai.types.EvaluationRunDict.state

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunInferenceConfig.model_config

The agent config.

See more: vertexai._genai.types.EvaluationRunInferenceConfigDict.agent_config

The fully qualified name of the publisher model or endpoint to use for inference.

See more: vertexai._genai.types.EvaluationRunInferenceConfigDict.model

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunMetadata.model_config

Name of the candidate(s) being evaluated in the evaluation run.

See more: vertexai._genai.types.EvaluationRunMetadataDict.candidate_names

Creation timestamp of the evaluation run.

See more: vertexai._genai.types.EvaluationRunMetadataDict.creation_timestamp

Unique identifier for the evaluation dataset used for the evaluation run.

See more: vertexai._genai.types.EvaluationRunMetadataDict.dataset_id

Name of the evaluation dataset used for the evaluation run.

See more: vertexai._genai.types.EvaluationRunMetadataDict.dataset_name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunMetric.model_config

The name of the metric.

See more: vertexai._genai.types.EvaluationRunMetricDict.metric

The unified metric used for evaluation run.

See more: vertexai._genai.types.EvaluationRunMetricDict.metric_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationRunResults.model_config

The evaluation set where item level results are stored.

See more: vertexai._genai.types.EvaluationRunResultsDict.evaluation_set

The summary metrics for the evaluation run.

See more: vertexai._genai.types.EvaluationRunResultsDict.summary_metrics

Evaluation run was cancelled.

See more: vertexai._genai.types.EvaluationRunState.CANCELLED

Evaluation run failed.

See more: vertexai._genai.types.EvaluationRunState.FAILED

Evaluation run is performing rubric generation.

See more: vertexai._genai.types.EvaluationRunState.GENERATING_RUBRICS

Evaluation run is performing inference.

See more: vertexai._genai.types.EvaluationRunState.INFERENCE

Evaluation run is pending.

See more: vertexai._genai.types.EvaluationRunState.PENDING

Evaluation run is in progress.

See more: vertexai._genai.types.EvaluationRunState.RUNNING

Evaluation run has succeeded.

See more: vertexai._genai.types.EvaluationRunState.SUCCEEDED

Evaluation run state is unspecified.

See more: vertexai._genai.types.EvaluationRunState.UNSPECIFIED

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EvaluationSet.model_config

The create time of the evaluation set.

See more: vertexai._genai.types.EvaluationSetDict.create_time

The display name of the evaluation set.

See more: vertexai._genai.types.EvaluationSetDict.display_name

The EvaluationItems that are part of this dataset.

See more: vertexai._genai.types.EvaluationSetDict.evaluation_items

The metadata of the evaluation set.

See more: vertexai._genai.types.EvaluationSetDict.metadata

The resource name of the evaluation set.

See more: vertexai._genai.types.EvaluationSetDict.name

The update time of the evaluation set.

See more: vertexai._genai.types.EvaluationSetDict.update_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Event.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EventActions.model_config

Optional.

See more: vertexai._genai.types.EventActionsDict.artifact_delta

Optional.

See more: vertexai._genai.types.EventActionsDict.escalate

Optional.

See more: vertexai._genai.types.EventActionsDict.requested_auth_configs

Optional.

See more: vertexai._genai.types.EventActionsDict.skip_summarization

Optional.

See more: vertexai._genai.types.EventActionsDict.state_delta

Optional.

See more: vertexai._genai.types.EventActionsDict.transfer_agent

Name of the entity that produced the event.

See more: vertexai._genai.types.EventDict.author

Content of the event.

See more: vertexai._genai.types.EventDict.content

The creation timestamp of the event.

See more: vertexai._genai.types.EventDict.creation_timestamp

Unique identifier for the agent event.

See more: vertexai._genai.types.EventDict.event_id

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.EventMetadata.model_config

Optional.

See more: vertexai._genai.types.EventMetadataDict.branch

The custom metadata of the LlmResponse.

See more: vertexai._genai.types.EventMetadataDict.custom_metadata

Optional.

See more: vertexai._genai.types.EventMetadataDict.grounding_metadata

Optional.

See more: vertexai._genai.types.EventMetadataDict.interrupted

Optional.

See more: vertexai._genai.types.EventMetadataDict.long_running_tool_ids

Optional.

See more: vertexai._genai.types.EventMetadataDict.partial

Optional.

See more: vertexai._genai.types.EventMetadataDict.turn_complete

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExactMatchInput.model_config

Required.

See more: vertexai._genai.types.ExactMatchInputDict.instances

Required.

See more: vertexai._genai.types.ExactMatchInputDict.metric_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExactMatchInstance.model_config

Required.

See more: vertexai._genai.types.ExactMatchInstanceDict.prediction

Required.

See more: vertexai._genai.types.ExactMatchInstanceDict.reference

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExactMatchMetricValue.model_config

Output only.

See more: vertexai._genai.types.ExactMatchMetricValueDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExactMatchResults.model_config

Output only.

See more: vertexai._genai.types.ExactMatchResultsDict.exact_match_metric_values

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExactMatchSpec.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExecuteCodeAgentEngineSandboxConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.ExecuteCodeAgentEngineSandboxConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ExecuteSandboxEnvironmentResponse.model_config

The outputs from the sandbox environment.

See more: vertexai._genai.types.ExecuteSandboxEnvironmentResponseDict.outputs

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GcsSource.model_config

//cloud.google.com/storage/docs/wildcards.

See more: vertexai._genai.types.GcsSourceDict.uris

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GeminiExample.model_config

Cached content for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.cached_content

Contents of the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.contents

Generation config for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.generation_config

Labels for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.labels

The model used to generate the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.model

Safety settings for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.safety_settings

System instruction for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.system_instruction

Tools for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.tool_config

Tools for the Gemini example.

See more: vertexai._genai.types.GeminiExampleDict.tools

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GeminiRequestReadConfig.model_config

Optional.

See more: vertexai._genai.types.GeminiRequestReadConfigDict.assembled_request_column_name

Gemini request template with placeholders.

See more: vertexai._genai.types.GeminiRequestReadConfigDict.template_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GeminiTemplateConfig.model_config

Required.

See more: vertexai._genai.types.GeminiTemplateConfigDict.field_mapping

Required.

See more: vertexai._genai.types.GeminiTemplateConfigDict.gemini_example

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfig.model_config

Whether to disable consolidation of memories.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.disable_consolidation

Optional.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.disable_memory_revisions

Used to override HTTP request options.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.http_options

Optional.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.revision_expire_time

Labels to apply to the memory revision.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.revision_labels

now + TTL.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.revision_ttl

Waits for the operation to complete before returning.

See more: vertexai._genai.types.GenerateAgentEngineMemoriesConfigDict.wait_for_completion

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateInstanceRubricsResponse.model_config

A list of generated rubrics.

See more: vertexai._genai.types.GenerateInstanceRubricsResponseDict.generated_rubrics

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesRequestDirectContentsSource.model_config

Required.

See more: vertexai._genai.types.GenerateMemoriesRequestDirectContentsSourceDict.events

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesRequestDirectContentsSourceEvent.model_config

Required.

See more: vertexai._genai.types.GenerateMemoriesRequestDirectContentsSourceEventDict.content

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesRequestDirectMemoriesSource.model_config

Required.

See more: vertexai._genai.types.GenerateMemoriesRequestDirectMemoriesSourceDict.direct_memories

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesRequestDirectMemoriesSourceDirectMemory.model_config

Required.

See more: vertexai._genai.types.GenerateMemoriesRequestDirectMemoriesSourceDirectMemoryDict.fact

Optional.

See more: vertexai._genai.types.GenerateMemoriesRequestDirectMemoriesSourceDirectMemoryDict.topics

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesRequestVertexSessionSource.model_config

Optional.

See more: vertexai._genai.types.GenerateMemoriesRequestVertexSessionSourceDict.end_time

projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}/sessions/{session} .

See more: vertexai._genai.types.GenerateMemoriesRequestVertexSessionSourceDict.session

Optional.

See more: vertexai._genai.types.GenerateMemoriesRequestVertexSessionSourceDict.start_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesResponse.model_config

The generated memories.

See more: vertexai._genai.types.GenerateMemoriesResponseDict.generated_memories

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemory.model_config

The action is unspecified.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryAction.ACTION_UNSPECIFIED

The memory was created.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryAction.CREATED

The memory was deleted.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryAction.DELETED

The memory was updated.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryAction.UPDATED

The action to take.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryDict.action

The generated memory.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryDict.memory

The previous revision of the Memory before the action was performed.

See more: vertexai._genai.types.GenerateMemoriesResponseGeneratedMemoryDict.previous_revision

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineMemoryConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineMemoryConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineMemoryRevisionConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineMemoryRevisionConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineOperationConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineOperationConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineSandboxConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineSandboxConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetAgentEngineSessionConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetAgentEngineSessionConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetDatasetOperationConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetDatasetOperationConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetEvaluationItemConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetEvaluationItemConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetEvaluationRunConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetEvaluationRunConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetEvaluationSetConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetEvaluationSetConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetMultimodalDatasetOperationConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetMultimodalDatasetOperationConfigDict.http_options

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.GetPromptConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.GetPromptConfigDict.http_options

Use Agent Identity.

See more: vertexai._genai.types.IdentityType.AGENT_IDENTITY

Default value.

See more: vertexai._genai.types.IdentityType.IDENTITY_TYPE_UNSPECIFIED

Use a custom service account if the service_account field is set, otherwise use the default Vertex AI Reasoning Engine Service Agent in the project.

See more: vertexai._genai.types.IdentityType.SERVICE_ACCOUNT

High importance.

See more: vertexai._genai.types.Importance.HIGH

Importance is not specified.

See more: vertexai._genai.types.Importance.IMPORTANCE_UNSPECIFIED

Low importance.

See more: vertexai._genai.types.Importance.LOW

Medium importance.

See more: vertexai._genai.types.Importance.MEDIUM

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.IntermediateExtractedMemory.model_config

Output only.

See more: vertexai._genai.types.IntermediateExtractedMemoryDict.fact

The job has been cancelled.

See more: vertexai._genai.types.JobState.JOB_STATE_CANCELLED

The job is being cancelled.

See more: vertexai._genai.types.JobState.JOB_STATE_CANCELLING

The job has expired.

See more: vertexai._genai.types.JobState.JOB_STATE_EXPIRED

The job failed.

See more: vertexai._genai.types.JobState.JOB_STATE_FAILED

The job is partially succeeded, some results may be missing due to errors.

See more: vertexai._genai.types.JobState.JOB_STATE_PARTIALLY_SUCCEEDED

The job has been stopped, and can be resumed.

See more: vertexai._genai.types.JobState.JOB_STATE_PAUSED

The service is preparing to run the job.

See more: vertexai._genai.types.JobState.JOB_STATE_PENDING

The job has been just created or resumed and processing has not yet begun.

See more: vertexai._genai.types.JobState.JOB_STATE_QUEUED

The job is in progress.

See more: vertexai._genai.types.JobState.JOB_STATE_RUNNING

The job completed successfully.

See more: vertexai._genai.types.JobState.JOB_STATE_SUCCEEDED

The job state is unspecified.

See more: vertexai._genai.types.JobState.JOB_STATE_UNSPECIFIED

The job is being updated.

See more: vertexai._genai.types.JobState.JOB_STATE_UPDATING

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.LLMBasedMetricSpec.model_config

Optional configuration for the judge LLM (Autorater).

See more: vertexai._genai.types.LLMBasedMetricSpecDict.judge_autorater_config

Template for the prompt sent to the judge model.

See more: vertexai._genai.types.LLMBasedMetricSpecDict.metric_prompt_template

Dynamically generate rubrics using a predefined spec.

See more: vertexai._genai.types.LLMBasedMetricSpecDict.predefined_rubric_generation_spec

Dynamically generate rubrics using this specification.

See more: vertexai._genai.types.LLMBasedMetricSpecDict.rubric_generation_spec

Use a pre-defined group of rubrics associated with the input.

See more: vertexai._genai.types.LLMBasedMetricSpecDict.rubric_group_key

System instruction for the judge model.

See more: vertexai._genai.types.LLMBasedMetricSpecDict.system_instruction

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.LLMMetric.model_config

The coding language is JavaScript.

See more: vertexai._genai.types.Language.LANGUAGE_JAVASCRIPT

The coding language is Python.

See more: vertexai._genai.types.Language.LANGUAGE_PYTHON

The default value.

See more: vertexai._genai.types.Language.LANGUAGE_UNSPECIFIED

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineConfigDict.http_options

See more: vertexai._genai.types.ListAgentEngineConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineMemoryConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineMemoryConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineMemoryConfigDict.http_options

The standard list order by string.

See more: vertexai._genai.types.ListAgentEngineMemoryConfigDict.order_by

See more: vertexai._genai.types.ListAgentEngineMemoryConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineMemoryConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsConfigDict.http_options

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsResponse.model_config

List of memory revisions.

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsResponseDict.memory_revisions

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListAgentEngineMemoryRevisionsResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineSandboxesConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineSandboxesConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineSandboxesConfigDict.http_options

See more: vertexai._genai.types.ListAgentEngineSandboxesConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineSandboxesConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineSandboxesResponse.model_config

See more: vertexai._genai.types.ListAgentEngineSandboxesResponseDict.next_page_token

List of agent engine sandboxes.

See more: vertexai._genai.types.ListAgentEngineSandboxesResponseDict.sandbox_environments

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListAgentEngineSandboxesResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineSessionEventsConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineSessionEventsConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineSessionEventsConfigDict.http_options

See more: vertexai._genai.types.ListAgentEngineSessionEventsConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineSessionEventsConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineSessionEventsResponse.model_config

See more: vertexai._genai.types.ListAgentEngineSessionEventsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListAgentEngineSessionEventsResponseDict.sdk_http_response

List of session events.

See more: vertexai._genai.types.ListAgentEngineSessionEventsResponseDict.session_events

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListAgentEngineSessionsConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListAgentEngineSessionsConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListAgentEngineSessionsConfigDict.http_options

See more: vertexai._genai.types.ListAgentEngineSessionsConfigDict.page_size

See more: vertexai._genai.types.ListAgentEngineSessionsConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListDatasetVersionsResponse.model_config

List of datasets for the project.

See more: vertexai._genai.types.ListDatasetVersionsResponseDict.dataset_versions

See more: vertexai._genai.types.ListDatasetVersionsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListDatasetVersionsResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListDatasetsResponse.model_config

List of datasets for the project.

See more: vertexai._genai.types.ListDatasetsResponseDict.datasets

See more: vertexai._genai.types.ListDatasetsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListDatasetsResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListMultimodalDatasetsConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListMultimodalDatasetsConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListMultimodalDatasetsConfigDict.http_options

See more: vertexai._genai.types.ListMultimodalDatasetsConfigDict.page_size

See more: vertexai._genai.types.ListMultimodalDatasetsConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListMultimodalDatasetsResponse.model_config

List of datasets for the project.

See more: vertexai._genai.types.ListMultimodalDatasetsResponseDict.datasets

See more: vertexai._genai.types.ListMultimodalDatasetsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListMultimodalDatasetsResponseDict.sdk_http_response

The timeout for the list datasets request in seconds.

See more: vertexai._genai.types.ListMultimodalDatasetsResponseDict.timeout

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListPromptsConfig.model_config

An expression for filtering the results of the request.

See more: vertexai._genai.types.ListPromptsConfigDict.filter

Used to override HTTP request options.

See more: vertexai._genai.types.ListPromptsConfigDict.http_options

See more: vertexai._genai.types.ListPromptsConfigDict.page_size

See more: vertexai._genai.types.ListPromptsConfigDict.page_token

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListReasoningEnginesMemoriesResponse.model_config

List of agent engine memories.

See more: vertexai._genai.types.ListReasoningEnginesMemoriesResponseDict.memories

See more: vertexai._genai.types.ListReasoningEnginesMemoriesResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListReasoningEnginesMemoriesResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListReasoningEnginesResponse.model_config

See more: vertexai._genai.types.ListReasoningEnginesResponseDict.next_page_token

List of agent engines.

See more: vertexai._genai.types.ListReasoningEnginesResponseDict.reasoning_engines

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListReasoningEnginesResponseDict.sdk_http_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ListReasoningEnginesSessionsResponse.model_config

See more: vertexai._genai.types.ListReasoningEnginesSessionsResponseDict.next_page_token

Used to retain the full HTTP response.

See more: vertexai._genai.types.ListReasoningEnginesSessionsResponseDict.sdk_http_response

List of agent engine sessions.

See more: vertexai._genai.types.ListReasoningEnginesSessionsResponseDict.sessions

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.LustreMount.model_config

Required.

See more: vertexai._genai.types.LustreMountDict.filesystem

Required.

See more: vertexai._genai.types.LustreMountDict.instance_ip

Required.

See more: vertexai._genai.types.LustreMountDict.mount_point

Required.

See more: vertexai._genai.types.LustreMountDict.volume_handle

milligcu 2000, memory 1.5Gib.

See more: vertexai._genai.types.MachineConfig.MACHINE_CONFIG_UNSPECIFIED

milligcu 4000, memory 4 Gib.

See more: vertexai._genai.types.MachineConfig.MACHINE_CONFIG_VCPU4_RAM4GIB

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MachineSpec.model_config

The number of accelerators to attach to the machine.

See more: vertexai._genai.types.MachineSpecDict.accelerator_count

Immutable.

See more: vertexai._genai.types.MachineSpecDict.accelerator_type

//cloud.google.com/kubernetes-engine/docs/how-to/gpus-multi#multi-instance_gpu_partitions) for the available partition sizes.

See more: vertexai._genai.types.MachineSpecDict.gpu_partition_size

//cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).

See more: vertexai._genai.types.MachineSpecDict.machine_type

Optional.

See more: vertexai._genai.types.MachineSpecDict.multihost_gpu_node_count

Optional.

See more: vertexai._genai.types.MachineSpecDict.reservation_affinity

"2x2x1").

See more: vertexai._genai.types.MachineSpecDict.tpu_topology

Information that the user explicitly requested to remember or forget.

See more: vertexai._genai.types.ManagedTopicEnum.EXPLICIT_INSTRUCTIONS

Important milestones or conclusions within the dialogue.

See more: vertexai._genai.types.ManagedTopicEnum.KEY_CONVERSATION_DETAILS

Unspecified topic.

See more: vertexai._genai.types.ManagedTopicEnum.MANAGED_TOPIC_ENUM_UNSPECIFIED

Significant personal information about the User like first names, relationships, hobbies, important dates.

See more: vertexai._genai.types.ManagedTopicEnum.USER_PERSONAL_INFO

Stated or implied likes, dislikes, preferred styles, or patterns.

See more: vertexai._genai.types.ManagedTopicEnum.USER_PREFERENCES

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MapInstance.model_config

Map of instance data.

See more: vertexai._genai.types.MapInstanceDict.map_instance

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Memory.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfig.model_config

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigDict.generate_memories_examples

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigDict.memory_topics

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigDict.scope_keys

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExample.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleConversationSource.model_config

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleConversationSourceDict.events

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleConversationSourceEvent.model_config

Required.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleConversationSourceEventDict.content

A conversation source for the example.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleDict.conversation_source

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleDict.generated_memories

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleGeneratedMemory.model_config

Required.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleGeneratedMemoryDict.fact

Optional.

See more: vertexai._genai.types.MemoryBankCustomizationConfigGenerateMemoriesExampleGeneratedMemoryDict.topics

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopic.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicCustomMemoryTopic.model_config

Required.

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicCustomMemoryTopicDict.description

Required.

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicCustomMemoryTopicDict.label

A custom memory topic defined by the developer.

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicDict.custom_memory_topic

A managed memory topic defined by Memory Bank.

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicDict.managed_memory_topic

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicManagedMemoryTopic.model_config

Required.

See more: vertexai._genai.types.MemoryBankCustomizationConfigMemoryTopicManagedMemoryTopicDict.managed_topic_enum

Output only.

See more: vertexai._genai.types.MemoryDict.create_time

Optional.

See more: vertexai._genai.types.MemoryDict.description

Optional.

See more: vertexai._genai.types.MemoryDict.disable_memory_revisions

Optional.

See more: vertexai._genai.types.MemoryDict.display_name

Optional.

See more: vertexai._genai.types.MemoryDict.expire_time

Required.

See more: vertexai._genai.types.MemoryDict.fact

projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}/memories/{memory} .

See more: vertexai._genai.types.MemoryDict.name

Optional.

See more: vertexai._genai.types.MemoryDict.revision_expire_time

now + TTL.

See more: vertexai._genai.types.MemoryDict.revision_ttl

Required.

See more: vertexai._genai.types.MemoryDict.scope

Optional.

See more: vertexai._genai.types.MemoryDict.topics

now + TTL.

See more: vertexai._genai.types.MemoryDict.ttl

Output only.

See more: vertexai._genai.types.MemoryDict.update_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryRevision.model_config

Output only.

See more: vertexai._genai.types.MemoryRevisionDict.create_time

Output only.

See more: vertexai._genai.types.MemoryRevisionDict.expire_time

Output only.

See more: vertexai._genai.types.MemoryRevisionDict.extracted_memories

Output only.

See more: vertexai._genai.types.MemoryRevisionDict.fact

Output only.

See more: vertexai._genai.types.MemoryRevisionDict.labels

projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}/memories/{memory}/revisions/{memory_revision} .

See more: vertexai._genai.types.MemoryRevisionDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MemoryTopicId.model_config

Optional.

See more: vertexai._genai.types.MemoryTopicIdDict.custom_memory_topic_label

Optional.

See more: vertexai._genai.types.MemoryTopicIdDict.managed_memory_topic

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Message.model_config

Name of the entity that produced the message.

See more: vertexai._genai.types.MessageDict.author

Content of the message, including function call.

See more: vertexai._genai.types.MessageDict.content

Timestamp indicating when the message was created.

See more: vertexai._genai.types.MessageDict.creation_timestamp

Unique identifier for the message turn.

See more: vertexai._genai.types.MessageDict.turn_id

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Metadata.model_config

Optional.

See more: vertexai._genai.types.MetadataDict.attributes

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Metric.model_config

The aggregate summary function for the judge model.

See more: vertexai._genai.types.MetricDict.aggregate_summary_fn

The custom function that defines the end-to-end logic for metric computation.

See more: vertexai._genai.types.MetricDict.custom_function

The judge model for the metric.

See more: vertexai._genai.types.MetricDict.judge_model

The generation config for the judge LLM (temperature, top_k, top_p, etc).

See more: vertexai._genai.types.MetricDict.judge_model_generation_config

The sampling count for the judge model.

See more: vertexai._genai.types.MetricDict.judge_model_sampling_count

The system instruction for the judge model.

See more: vertexai._genai.types.MetricDict.judge_model_system_instruction

Optional steering instruction parameters for the automated predefined metric.

See more: vertexai._genai.types.MetricDict.metric_spec_parameters

The name of the metric.

See more: vertexai._genai.types.MetricDict.name

The parse and reduce function for the judge model.

See more: vertexai._genai.types.MetricDict.parse_and_reduce_fn

The prompt template for the metric.

See more: vertexai._genai.types.MetricDict.prompt_template

Whether to return the raw output from the judge model.

See more: vertexai._genai.types.MetricDict.return_raw_output

The rubric group name for the rubric-based metric.

See more: vertexai._genai.types.MetricDict.rubric_group_name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MetricPromptBuilder.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MetricResult.model_config

The error status for the metric result.

See more: vertexai._genai.types.MetricResultDict.error

The explanation for the metric result.

See more: vertexai._genai.types.MetricResultDict.explanation

For rubric-based metrics, the verdicts for each rubric.

See more: vertexai._genai.types.MetricResultDict.rubric_verdicts

The score for the metric.

See more: vertexai._genai.types.MetricResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MetricxResult.model_config

Output only.

See more: vertexai._genai.types.MetricxResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MultimodalDataset.model_config

The description of the multimodal dataset.

See more: vertexai._genai.types.MultimodalDatasetDict.description

The display name of the multimodal dataset.

See more: vertexai._genai.types.MultimodalDatasetDict.display_name

The metadata of the multimodal dataset.

See more: vertexai._genai.types.MultimodalDatasetDict.metadata

The ID of the multimodal dataset.

See more: vertexai._genai.types.MultimodalDatasetDict.name

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.MultimodalDatasetOperation.model_config

If the value is false , it means the operation is still in progress.

See more: vertexai._genai.types.MultimodalDatasetOperationDict.done

The error result of the operation in case of failure or cancellation.

See more: vertexai._genai.types.MultimodalDatasetOperationDict.error

Service-specific metadata associated with the operation.

See more: vertexai._genai.types.MultimodalDatasetOperationDict.metadata

The server-assigned name, which is only unique within the same service that originally returns it.

See more: vertexai._genai.types.MultimodalDatasetOperationDict.name

The result of the dataset operation.

See more: vertexai._genai.types.MultimodalDatasetOperationDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.NfsMount.model_config

Required.

See more: vertexai._genai.types.NfsMountDict.mount_point

path`.

See more: vertexai._genai.types.NfsMountDict.path

Required.

See more: vertexai._genai.types.NfsMountDict.server

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ObservabilityEvalCase.model_config

The underlying API client.

See more: vertexai._genai.types.ObservabilityEvalCaseDict.api_client

String containing the GCS reference to the GenAI input content.

See more: vertexai._genai.types.ObservabilityEvalCaseDict.input_src

String containing the GCS reference to the GenAI response content.

See more: vertexai._genai.types.ObservabilityEvalCaseDict.output_src

An optional string containing the GCS reference to the GenAI system instruction.

See more: vertexai._genai.types.ObservabilityEvalCaseDict.system_instruction_src

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.OptimizeConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.OptimizeConfigDict.http_options

See more: vertexai._genai.types.OptimizeConfigDict.optimization_target

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.OptimizeResponse.model_config

See more: vertexai._genai.types.OptimizeResponseDict.parsed_response

See more: vertexai._genai.types.OptimizeResponseDict.raw_text_response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.OptimizeResponseEndpoint.model_config

See more: vertexai._genai.types.OptimizeResponseEndpointDict.content

The data driven prompt optimizer designer for prompts from Android core API.

See more: vertexai._genai.types.OptimizeTarget.OPTIMIZATION_TARGET_GEMINI_NANO

Baseline prediction wins.

See more: vertexai._genai.types.PairwiseChoice.BASELINE

Candidate prediction wins.

See more: vertexai._genai.types.PairwiseChoice.CANDIDATE

Unspecified prediction choice.

See more: vertexai._genai.types.PairwiseChoice.PAIRWISE_CHOICE_UNSPECIFIED

Winner cannot be determined.

See more: vertexai._genai.types.PairwiseChoice.TIE

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PairwiseMetricInput.model_config

Required.

See more: vertexai._genai.types.PairwiseMetricInputDict.instance

Required.

See more: vertexai._genai.types.PairwiseMetricInputDict.metric_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PairwiseMetricInstance.model_config

Instance specified as a json string.

See more: vertexai._genai.types.PairwiseMetricInstanceDict.json_instance

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PairwiseMetricResult.model_config

Output only.

See more: vertexai._genai.types.PairwiseMetricResultDict.custom_output

Output only.

See more: vertexai._genai.types.PairwiseMetricResultDict.explanation

Output only.

See more: vertexai._genai.types.PairwiseMetricResultDict.pairwise_choice

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ParsedResponse.model_config

See more: vertexai._genai.types.ParsedResponseDict.applicable_guidelines

See more: vertexai._genai.types.ParsedResponseDict.optimization_type

See more: vertexai._genai.types.ParsedResponseDict.original_prompt

See more: vertexai._genai.types.ParsedResponseDict.suggested_prompt

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PointwiseMetricInput.model_config

Required.

See more: vertexai._genai.types.PointwiseMetricInputDict.instance

Required.

See more: vertexai._genai.types.PointwiseMetricInputDict.metric_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PointwiseMetricInstance.model_config

Key-value contents for the mutlimodality input, including text, image, video, audio, and pdf, etc.

See more: vertexai._genai.types.PointwiseMetricInstanceDict.content_map_instance

Instance specified as a json string.

See more: vertexai._genai.types.PointwiseMetricInstanceDict.json_instance

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PointwiseMetricResult.model_config

Output only.

See more: vertexai._genai.types.PointwiseMetricResultDict.custom_output

Output only.

See more: vertexai._genai.types.PointwiseMetricResultDict.explanation

Output only.

See more: vertexai._genai.types.PointwiseMetricResultDict.score

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PredefinedMetricSpec.model_config

The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".

See more: vertexai._genai.types.PredefinedMetricSpecDict.metric_spec_name

The parameters needed to run the pre-defined metric.

See more: vertexai._genai.types.PredefinedMetricSpecDict.metric_spec_parameters

API documentation for dataset property.

See more: vertexai._genai.types.Prompt.dataset

API documentation for dataset_version property.

See more: vertexai._genai.types.Prompt.dataset_version

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.Prompt.model_config

Returns the ID associated with the prompt resource.

See more: vertexai._genai.types.Prompt.prompt_id

Returns the ID associated with the prompt version resource.

See more: vertexai._genai.types.Prompt.version_id

See more: vertexai._genai.types.PromptDict.prompt_data

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PromptOptimizerConfig.model_config

//bucket/config.json.

See more: vertexai._genai.types.PromptOptimizerConfigDict.config_path

The display name of the optimization job.

See more: vertexai._genai.types.PromptOptimizerConfigDict.optimizer_job_display_name

The service account to use for the custom job.

See more: vertexai._genai.types.PromptOptimizerConfigDict.service_account

{service_account_project_number}-compute@developer.gserviceaccount.comCannot be provided at the same time as "service_account".

See more: vertexai._genai.types.PromptOptimizerConfigDict.service_account_project_number

Whether to wait for the job tocomplete.

See more: vertexai._genai.types.PromptOptimizerConfigDict.wait_for_completion

The data driven prompt optimizer designer for prompts from Android core API.

See more: vertexai._genai.types.PromptOptimizerMethod.OPTIMIZATION_TARGET_GEMINI_NANO

The default data driven Vertex AI Prompt Optimizer.

See more: vertexai._genai.types.PromptOptimizerMethod.VAPO

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PromptRef.model_config

See more: vertexai._genai.types.PromptRefDict.model

See more: vertexai._genai.types.PromptRefDict.prompt_id

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PromptTemplate.model_config

API documentation for variables property.

See more: vertexai._genai.types.PromptTemplate.variables

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PromptTemplateData.model_config

The prompt template text.

See more: vertexai._genai.types.PromptTemplateDict.text

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PromptVersionRef.model_config

See more: vertexai._genai.types.PromptVersionRefDict.model

See more: vertexai._genai.types.PromptVersionRefDict.prompt_id

See more: vertexai._genai.types.PromptVersionRefDict.version_id

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PscInterfaceConfig.model_config

Optional.

See more: vertexai._genai.types.PscInterfaceConfigDict.dns_peering_configs

//cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments).

See more: vertexai._genai.types.PscInterfaceConfigDict.network_attachment

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PurgeAgentEngineMemoriesConfig.model_config

Used to override HTTP request options.

See more: vertexai._genai.types.PurgeAgentEngineMemoriesConfigDict.http_options

Waits for the operation to complete before returning.

See more: vertexai._genai.types.PurgeAgentEngineMemoriesConfigDict.wait_for_completion

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PurgeMemoriesResponse.model_config

The number of memories that were purged.

See more: vertexai._genai.types.PurgeMemoriesResponseDict.purge_count

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.PythonPackageSpec.model_config

Command line arguments to be passed to the Python task.

See more: vertexai._genai.types.PythonPackageSpecDict.args

Environment variables to be passed to the python module.

See more: vertexai._genai.types.PythonPackageSpecDict.env

//cloud.google.com/vertex-ai/docs/training/pre-built-containers).

See more: vertexai._genai.types.PythonPackageSpecDict.executor_image_uri

Required.

See more: vertexai._genai.types.PythonPackageSpecDict.package_uris

Required.

See more: vertexai._genai.types.PythonPackageSpecDict.python_module

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.QueryAgentEngineConfig.model_config

The class method to call.

See more: vertexai._genai.types.QueryAgentEngineConfigDict.class_method

Used to override HTTP request options.

See more: vertexai._genai.types.QueryAgentEngineConfigDict.http_options

See more: vertexai._genai.types.QueryAgentEngineConfigDict.include_all_fields

The input to the class method.

See more: vertexai._genai.types.QueryAgentEngineConfigDict.input

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.QueryReasoningEngineResponse.model_config

Response provided by users in JSON object format.

See more: vertexai._genai.types.QueryReasoningEngineResponseDict.output

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.RawOutput.model_config

Output only.

See more: vertexai._genai.types.RawOutputDict.raw_output

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngine.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpec.model_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecDict.memory_bank_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfig.model_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigDict.customization_configs

If true, no memory revisions will be created for any requests to the Memory Bank.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigDict.disable_memory_revisions

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigDict.generation_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigDict.similarity_search_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigDict.ttl_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigGenerationConfig.model_config

projects/{project}/locations/{location}/publishers/google/models/{model} .

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigGenerationConfigDict.model

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigSimilaritySearchConfig.model_config

projects/{project}/locations/{location}/publishers/google/models/{model} .

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigSimilaritySearchConfigDict.embedding_model

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfig.model_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigDict.default_ttl

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigDict.granular_ttl_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigDict.memory_revision_default_ttl

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigGranularTtlConfig.model_config

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigGranularTtlConfigDict.create_ttl

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigGranularTtlConfigDict.generate_created_ttl

Optional.

See more: vertexai._genai.types.ReasoningEngineContextSpecMemoryBankConfigTtlConfigGranularTtlConfigDict.generate_updated_ttl

Optional.

See more: vertexai._genai.types.ReasoningEngineDict.context_spec

Output only.

See more: vertexai._genai.types.ReasoningEngineDict.create_time

Optional.

See more: vertexai._genai.types.ReasoningEngineDict.description

Required.

See more: vertexai._genai.types.ReasoningEngineDict.display_name

Customer-managed encryption key spec for a ReasoningEngine.

See more: vertexai._genai.types.ReasoningEngineDict.encryption_spec

Optional.

See more: vertexai._genai.types.ReasoningEngineDict.etag

Labels for the ReasoningEngine.

See more: vertexai._genai.types.ReasoningEngineDict.labels

projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine} .

See more: vertexai._genai.types.ReasoningEngineDict.name

Optional.

See more: vertexai._genai.types.ReasoningEngineDict.spec

Output only.

See more: vertexai._genai.types.ReasoningEngineDict.update_time

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpec.model_config

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpec.model_config

The agent server mode.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.agent_server_mode

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.container_concurrency

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.env

[1, 1000].

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.max_instances

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.min_instances

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.psc_interface_config

"4Gi"}.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.resource_limits

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDeploymentSpecDict.secret_env

"google-adk", "langchain", "langgraph", "ag2", "llama-index", "custom".

See more: vertexai._genai.types.ReasoningEngineSpecDict.agent_framework

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDict.class_methods

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDict.deployment_spec

• service-{project}@gcp-sa-aiplatform-re.googleapis.com (for SERVICE_AGENT identity type) * {name}@{project}.gserviceaccount.com (for SERVICE_ACCOUNT identity type) * agents.global.{org}.system.id.goog/resources/aiplatform/projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine} (for AGENT_IDENTITY identity type).

See more: vertexai._genai.types.ReasoningEngineSpecDict.effective_identity

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDict.identity_type

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDict.package_spec

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecDict.service_account

Deploy from source code files with a defined entrypoint.

See more: vertexai._genai.types.ReasoningEngineSpecDict.source_code_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpecPackageSpec.model_config

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecPackageSpecDict.dependency_files_gcs_uri

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecPackageSpecDict.pickle_object_gcs_uri

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecPackageSpecDict.python_version

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecPackageSpecDict.requirements_gcs_uri

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpec.model_config

Source code is provided directly in the request.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecDict.inline_source

Configuration for a Python application.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecDict.python_spec

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecInlineSource.model_config

Required.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecInlineSourceDict.source_archive

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecPythonSpec.model_config

path.to.agent.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecPythonSpecDict.entrypoint_module

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecPythonSpecDict.entrypoint_object

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecPythonSpecDict.requirements_file

Optional.

See more: vertexai._genai.types.ReasoningEngineSpecSourceCodeSpecPythonSpecDict.version

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ReservationAffinity.model_config

Optional.

See more: vertexai._genai.types.ReservationAffinityDict.key

Required.

See more: vertexai._genai.types.ReservationAffinityDict.reservation_affinity_type

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ResponseCandidate.model_config

The final model-generated response to the prompt .

See more: vertexai._genai.types.ResponseCandidateDict.response

Configuration for the model, should be a dictionary conforming to [ ConfigDict ][pydantic.config.ConfigDict].

See more: vertexai._genai.types.ResponseCandidateResult.model_config