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chore: Update discovery artifacts (#2316)
## Deleted keys were detected in the following stable discovery artifacts: aiplatform v1 https://togithub.com/googleapis/google-api-python-client/commit/fe0833fe55e09bf635febf35723215ae50ef24fd ## Deleted keys were detected in the following pre-stable discovery artifacts: aiplatform v1beta1 https://togithub.com/googleapis/google-api-python-client/commit/fe0833fe55e09bf635febf35723215ae50ef24fd ## Discovery Artifact Change Summary: feat(aiplatform): update the api https://togithub.com/googleapis/google-api-python-client/commit/fe0833fe55e09bf635febf35723215ae50ef24fd feat(compute): update the api https://togithub.com/googleapis/google-api-python-client/commit/003dca6e4a5ea6359998a1961ce82cb2acf436cf feat(storage): update the api https://togithub.com/googleapis/google-api-python-client/commit/3f48ed93a15147820e2e420d23c8cba48e6e69f6
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docs/dyn/aiplatform_v1.projects.locations.endpoints.html

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&quot;role&quot;: &quot;A String&quot;, # Optional. The producer of the content. Must be either &#x27;user&#x27; or &#x27;model&#x27;. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
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&quot;endpoint&quot;: &quot;A String&quot;, # Required. The name of the Endpoint requested to serve the prediction. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
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&quot;generationConfig&quot;: { # Generation config. # Optional. Generation config.
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&quot;candidateCount&quot;: 42, # Optional. Number of candidates to generate.
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&quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.

docs/dyn/aiplatform_v1.projects.locations.metadataStores.artifacts.html

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.metadataStores.html">metadataStores</a> . <a href="aiplatform_v1.projects.locations.metadataStores.artifacts.html">artifacts</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.metadataStores.artifacts.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<p class="toc_element">
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<code><a href="#close">close()</a></code></p>
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<p class="firstline">Close httplib2 connections.</p>

docs/dyn/aiplatform_v1.projects.locations.metadataStores.artifacts.operations.html

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docs/dyn/aiplatform_v1.projects.locations.metadataStores.contexts.html

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.metadataStores.html">metadataStores</a> . <a href="aiplatform_v1.projects.locations.metadataStores.contexts.html">contexts</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.metadataStores.contexts.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<code><a href="#addContextArtifactsAndExecutions">addContextArtifactsAndExecutions(context, body=None, x__xgafv=None)</a></code></p>
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<p class="firstline">Adds a set of Artifacts and Executions to a Context. If any of the Artifacts or Executions have already been added to a Context, they are simply skipped.</p>

docs/dyn/aiplatform_v1.projects.locations.metadataStores.contexts.operations.html

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docs/dyn/aiplatform_v1.projects.locations.metadataStores.executions.html

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.metadataStores.html">metadataStores</a> . <a href="aiplatform_v1.projects.locations.metadataStores.executions.html">executions</a></h1>
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<h2>Instance Methods</h2>
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<code><a href="aiplatform_v1.projects.locations.metadataStores.executions.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<code><a href="#addExecutionEvents">addExecutionEvents(execution, body=None, x__xgafv=None)</a></code></p>
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<p class="firstline">Adds Events to the specified Execution. An Event indicates whether an Artifact was used as an input or output for an Execution. If an Event already exists between the Execution and the Artifact, the Event is skipped.</p>

docs/dyn/aiplatform_v1.projects.locations.metadataStores.executions.operations.html

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docs/dyn/aiplatform_v1.projects.locations.metadataStores.html

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</p>
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<p class="firstline">Returns the metadataSchemas Resource.</p>
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<code><a href="aiplatform_v1.projects.locations.metadataStores.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<code><a href="#close">close()</a></code></p>
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<p class="firstline">Close httplib2 connections.</p>

docs/dyn/aiplatform_v1.projects.locations.metadataStores.operations.html

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docs/dyn/aiplatform_v1.projects.locations.publishers.models.html

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&quot;role&quot;: &quot;A String&quot;, # Optional. The producer of the content. Must be either &#x27;user&#x27; or &#x27;model&#x27;. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
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&quot;endpoint&quot;: &quot;A String&quot;, # Required. The name of the Endpoint requested to serve the prediction. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
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&quot;generationConfig&quot;: { # Generation config. # Optional. Generation config.
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&quot;candidateCount&quot;: 42, # Optional. Number of candidates to generate.
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&quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.

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