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chore: Update discovery artifacts (#2526)
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## Deleted keys were detected in the following stable discovery artifacts:
aiplatform v1 https://togithub.com/googleapis/google-api-python-client/commit/e23053832e761b9b52ceb74ae8934968a6a81e37
deploymentmanager v2 https://togithub.com/googleapis/google-api-python-client/commit/199c8117845c23ba083c4c30d34df020b608daae

## Deleted keys were detected in the following pre-stable discovery artifacts:
deploymentmanager alpha https://togithub.com/googleapis/google-api-python-client/commit/199c8117845c23ba083c4c30d34df020b608daae
deploymentmanager v2beta https://togithub.com/googleapis/google-api-python-client/commit/199c8117845c23ba083c4c30d34df020b608daae

## Discovery Artifact Change Summary:
feat(aiplatform): update the api https://togithub.com/googleapis/google-api-python-client/commit/e23053832e761b9b52ceb74ae8934968a6a81e37
feat(alloydb): update the api https://togithub.com/googleapis/google-api-python-client/commit/0592fb72a06a042f685758cafa46c1452a4d65cf
feat(analyticsdata): update the api https://togithub.com/googleapis/google-api-python-client/commit/323f3e57028c2ee9468b777a7b1c279c6b7757bd
feat(apigee): update the api https://togithub.com/googleapis/google-api-python-client/commit/1c543a0842bdff312f5f8afa0520f0b6d6776a31
feat(appengine): update the api https://togithub.com/googleapis/google-api-python-client/commit/56c9ef728ba94a48c1e6b7e8b85ecec1529398ad
feat(bigquery): update the api https://togithub.com/googleapis/google-api-python-client/commit/198e957680c1b12218e57c5f5061feb9852044e6
feat(checks): update the api https://togithub.com/googleapis/google-api-python-client/commit/de951c3c2b336f1736ed21df3e0fd10be44b4eaa
feat(chromemanagement): update the api https://togithub.com/googleapis/google-api-python-client/commit/6e4eaaeff5e8298723db83db353badb878993fdf
feat(classroom): update the api https://togithub.com/googleapis/google-api-python-client/commit/689741cb10db3b8dc9975a0c971de36a38d42a67
feat(cloudidentity): update the api https://togithub.com/googleapis/google-api-python-client/commit/befe5be78828dfee6d3dbd00339b7f7ad248dc41
feat(contactcenterinsights): update the api https://togithub.com/googleapis/google-api-python-client/commit/9a2e3f12f62839106f4d0b9012e8bc14f81fdc61
feat(content): update the api https://togithub.com/googleapis/google-api-python-client/commit/b0a07b8b67038a9df1f7267c36a4b96e59bdc103
feat(deploymentmanager): update the api https://togithub.com/googleapis/google-api-python-client/commit/199c8117845c23ba083c4c30d34df020b608daae
feat(discoveryengine): update the api https://togithub.com/googleapis/google-api-python-client/commit/a734566b1b29103cb5f5e252e7fe2b7a7c05fb30
feat(firebaseml): update the api https://togithub.com/googleapis/google-api-python-client/commit/1c0258e84951c14c23a52924a4cc07d06228b169
feat(forms): update the api https://togithub.com/googleapis/google-api-python-client/commit/60696736e8b42049dcddccbfb17a24cb495f2fc0
feat(merchantapi): update the api https://togithub.com/googleapis/google-api-python-client/commit/fdd69d7bf108494ed5a22e7e8f30951ed30ebb8e
feat(migrationcenter): update the api https://togithub.com/googleapis/google-api-python-client/commit/d97ac2b3dc5684fe82fda2e0853b6af5b108c475
feat(monitoring): update the api https://togithub.com/googleapis/google-api-python-client/commit/7f1c6373b2cad026946fed5e9337cc91061d775f
feat(playintegrity): update the api https://togithub.com/googleapis/google-api-python-client/commit/966b2cad19071162de39686a442c6f662402729d
feat(policysimulator): update the api https://togithub.com/googleapis/google-api-python-client/commit/361668856a2d35c7bc23b429ba6acc7851807bac
feat(redis): update the api https://togithub.com/googleapis/google-api-python-client/commit/c222b940685e79253c6fe67d354ef02e8a983306
feat(retail): update the api https://togithub.com/googleapis/google-api-python-client/commit/15162a868286f209d2604e45ace5f5db33339bde
feat(run): update the api https://togithub.com/googleapis/google-api-python-client/commit/a32f5436e2977212edd500af7a9f474c06cfe734
feat(serviceconsumermanagement): update the api https://togithub.com/googleapis/google-api-python-client/commit/2a30279689ef1eb538e20a6062f2e1c1b81b75ba
feat(serviceusage): update the api https://togithub.com/googleapis/google-api-python-client/commit/0a24948b3a748ab2303bede21b959f4e0947c916
feat(toolresults): update the api https://togithub.com/googleapis/google-api-python-client/commit/e7a05d48b67102459c895f229a7ce22aa692f394
feat(walletobjects): update the api https://togithub.com/googleapis/google-api-python-client/commit/a06dc242df297b430bc2c6d50fb5be46742910eb
feat(youtube): update the api https://togithub.com/googleapis/google-api-python-client/commit/d24dff5a2a6c44f6c9b234d61258a4adf1a40c28
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4 changes: 2 additions & 2 deletions docs/dyn/accesscontextmanager_v1.operations.html
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@ <h1><a href="accesscontextmanager_v1.html">Access Context Manager API</a> . <a h
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#cancel">cancel(name, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.</p>
<p class="firstline">Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.</p>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
Expand All @@ -95,7 +95,7 @@ <h2>Instance Methods</h2>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="cancel">cancel(name, body=None, x__xgafv=None)</code>
<pre>Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn&#x27;t support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.
<pre>Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn&#x27;t support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.

Args:
name: string, The name of the operation resource to be cancelled. (required)
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30 changes: 15 additions & 15 deletions docs/dyn/addressvalidation_v1.v1.html

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37 changes: 28 additions & 9 deletions docs/dyn/aiplatform_v1.endpoints.html
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Expand Up @@ -395,9 +395,6 @@ <h3>Method Details</h3>
&quot;datastore&quot;: &quot;A String&quot;, # Required. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
},
&quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
&quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.
&quot;A String&quot;,
],
&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
{ # The definition of the Rag resource.
&quot;ragCorpus&quot;: &quot;A String&quot;, # Optional. RagCorpora resource name. Format: `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
Expand All @@ -406,6 +403,14 @@ <h3>Method Details</h3>
],
},
],
&quot;ragRetrievalConfig&quot;: { # Specifies the context retrieval config. # Optional. The retrieval config for the Rag query.
&quot;filter&quot;: { # Config for filters. # Optional. Config for filters.
&quot;metadataFilter&quot;: &quot;A String&quot;, # Optional. String for metadata filtering.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
&quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
},
&quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
},
&quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only return results with vector distance smaller than the threshold.
},
Expand Down Expand Up @@ -438,6 +443,7 @@ <h3>Method Details</h3>
The object takes the form of:

{ # Request message for [PredictionService.GenerateContent].
&quot;cachedContent&quot;: &quot;A String&quot;, # Optional. The name of the cached content used as context to serve the prediction. Note: only used in explicit caching, where users can have control over caching (e.g. what content to cache) and enjoy guaranteed cost savings. Format: `projects/{project}/locations/{location}/cachedContents/{cachedContent}`
&quot;contents&quot;: [ # Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.
{ # The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.
&quot;parts&quot;: [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
Expand Down Expand Up @@ -669,9 +675,6 @@ <h3>Method Details</h3>
&quot;datastore&quot;: &quot;A String&quot;, # Required. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
},
&quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
&quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.
&quot;A String&quot;,
],
&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
{ # The definition of the Rag resource.
&quot;ragCorpus&quot;: &quot;A String&quot;, # Optional. RagCorpora resource name. Format: `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
Expand All @@ -680,6 +683,14 @@ <h3>Method Details</h3>
],
},
],
&quot;ragRetrievalConfig&quot;: { # Specifies the context retrieval config. # Optional. The retrieval config for the Rag query.
&quot;filter&quot;: { # Config for filters. # Optional. Config for filters.
&quot;metadataFilter&quot;: &quot;A String&quot;, # Optional. String for metadata filtering.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
&quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
},
&quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
},
&quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only return results with vector distance smaller than the threshold.
},
Expand Down Expand Up @@ -840,6 +851,7 @@ <h3>Method Details</h3>
],
},
&quot;usageMetadata&quot;: { # Usage metadata about response(s). # Usage metadata about the response(s).
&quot;cachedContentTokenCount&quot;: 42, # Output only. Number of tokens in the cached part in the input (the cached content).
&quot;candidatesTokenCount&quot;: 42, # Number of tokens in the response(s).
&quot;promptTokenCount&quot;: 42, # Number of tokens in the request. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.
&quot;totalTokenCount&quot;: 42, # Total token count for prompt and response candidates.
Expand All @@ -857,6 +869,7 @@ <h3>Method Details</h3>
The object takes the form of:

{ # Request message for [PredictionService.GenerateContent].
&quot;cachedContent&quot;: &quot;A String&quot;, # Optional. The name of the cached content used as context to serve the prediction. Note: only used in explicit caching, where users can have control over caching (e.g. what content to cache) and enjoy guaranteed cost savings. Format: `projects/{project}/locations/{location}/cachedContents/{cachedContent}`
&quot;contents&quot;: [ # Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.
{ # The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.
&quot;parts&quot;: [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
Expand Down Expand Up @@ -1088,9 +1101,6 @@ <h3>Method Details</h3>
&quot;datastore&quot;: &quot;A String&quot;, # Required. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
},
&quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
&quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.
&quot;A String&quot;,
],
&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
{ # The definition of the Rag resource.
&quot;ragCorpus&quot;: &quot;A String&quot;, # Optional. RagCorpora resource name. Format: `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
Expand All @@ -1099,6 +1109,14 @@ <h3>Method Details</h3>
],
},
],
&quot;ragRetrievalConfig&quot;: { # Specifies the context retrieval config. # Optional. The retrieval config for the Rag query.
&quot;filter&quot;: { # Config for filters. # Optional. Config for filters.
&quot;metadataFilter&quot;: &quot;A String&quot;, # Optional. String for metadata filtering.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
&quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
},
&quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
},
&quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
&quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only return results with vector distance smaller than the threshold.
},
Expand Down Expand Up @@ -1259,6 +1277,7 @@ <h3>Method Details</h3>
],
},
&quot;usageMetadata&quot;: { # Usage metadata about response(s). # Usage metadata about the response(s).
&quot;cachedContentTokenCount&quot;: 42, # Output only. Number of tokens in the cached part in the input (the cached content).
&quot;candidatesTokenCount&quot;: 42, # Number of tokens in the response(s).
&quot;promptTokenCount&quot;: 42, # Number of tokens in the request. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.
&quot;totalTokenCount&quot;: 42, # Total token count for prompt and response candidates.
Expand Down
5 changes: 5 additions & 0 deletions docs/dyn/aiplatform_v1.html
Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,11 @@ <h2>Instance Methods</h2>
</p>
<p class="firstline">Returns the endpoints Resource.</p>

<p class="toc_element">
<code><a href="aiplatform_v1.media.html">media()</a></code>
</p>
<p class="firstline">Returns the media Resource.</p>

<p class="toc_element">
<code><a href="aiplatform_v1.projects.html">projects()</a></code>
</p>
Expand Down
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