googleapis
diff --git a/‎docs/dyn/aiplatform_v1.endpoints.html‎
Lines changed: 26 additions & 8 deletions b/‎docs/dyn/aiplatform_v1.endpoints.html‎
Lines changed: 26 additions & 8 deletions
diff --git a/‎docs/dyn/aiplatform_v1.projects.locations.endpoints.chat.html‎
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@@ -383,6 +383,10 @@ <h3>Method Details</h3>
         },
       ],
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
+        &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
+          &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.
+          &quot;mode&quot;: &quot;A String&quot;, # The mode of the predictor to be used in dynamic retrieval.
+        },
       },
       &quot;retrieval&quot;: { # Defines a retrieval tool that model can call to access external knowledge. # Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
         &quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
@@ -652,6 +656,10 @@ <h3>Method Details</h3>
         },
       ],
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
+        &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
+          &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.
+          &quot;mode&quot;: &quot;A String&quot;, # The mode of the predictor to be used in dynamic retrieval.
+        },
       },
       &quot;retrieval&quot;: { # Defines a retrieval tool that model can call to access external knowledge. # Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
         &quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
@@ -769,6 +777,9 @@ <h3>Method Details</h3>
             },
           },
         ],
+        &quot;retrievalMetadata&quot;: { # Metadata related to retrieval in the grounding flow. # Optional. Output only. Retrieval metadata.
+          &quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. Score indicating how likely information from Google Search could help answer the prompt. The score is in the range `[0, 1]`, where 0 is the least likely and 1 is the most likely. This score is only populated when Google Search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger Google Search.
+        },
         &quot;searchEntryPoint&quot;: { # Google search entry point. # Optional. Google search entry for the following-up web searches.
           &quot;renderedContent&quot;: &quot;A String&quot;, # Optional. Web content snippet that can be embedded in a web page or an app webview.
           &quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. Base64 encoded JSON representing array of tuple.
@@ -782,17 +793,17 @@ <h3>Method Details</h3>
         &quot;chosenCandidates&quot;: [ # Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.
           { # Candidate for the logprobs token and score.
             &quot;logProbability&quot;: 3.14, # The candidate&#x27;s log probability.
-            &quot;token&quot;: &quot;A String&quot;, # The candidate’s token string value.
-            &quot;tokenId&quot;: 42, # The candidate’s token id value.
+            &quot;token&quot;: &quot;A String&quot;, # The candidate&#x27;s token string value.
+            &quot;tokenId&quot;: 42, # The candidate&#x27;s token id value.
           },
         ],
         &quot;topCandidates&quot;: [ # Length = total number of decoding steps.
           { # Candidates with top log probabilities at each decoding step.
             &quot;candidates&quot;: [ # Sorted by log probability in descending order.
               { # Candidate for the logprobs token and score.
                 &quot;logProbability&quot;: 3.14, # The candidate&#x27;s log probability.
-                &quot;token&quot;: &quot;A String&quot;, # The candidate’s token string value.
-                &quot;tokenId&quot;: 42, # The candidate’s token id value.
+                &quot;token&quot;: &quot;A String&quot;, # The candidate&#x27;s token string value.
+                &quot;tokenId&quot;: 42, # The candidate&#x27;s token id value.
               },
             ],
           },
@@ -1062,6 +1073,10 @@ <h3>Method Details</h3>
         },
       ],
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
+        &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
+          &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.
+          &quot;mode&quot;: &quot;A String&quot;, # The mode of the predictor to be used in dynamic retrieval.
+        },
       },
       &quot;retrieval&quot;: { # Defines a retrieval tool that model can call to access external knowledge. # Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
         &quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
@@ -1179,6 +1194,9 @@ <h3>Method Details</h3>
             },
           },
         ],
+        &quot;retrievalMetadata&quot;: { # Metadata related to retrieval in the grounding flow. # Optional. Output only. Retrieval metadata.
+          &quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. Score indicating how likely information from Google Search could help answer the prompt. The score is in the range `[0, 1]`, where 0 is the least likely and 1 is the most likely. This score is only populated when Google Search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger Google Search.
+        },
         &quot;searchEntryPoint&quot;: { # Google search entry point. # Optional. Google search entry for the following-up web searches.
           &quot;renderedContent&quot;: &quot;A String&quot;, # Optional. Web content snippet that can be embedded in a web page or an app webview.
           &quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. Base64 encoded JSON representing array of tuple.
@@ -1192,17 +1210,17 @@ <h3>Method Details</h3>
         &quot;chosenCandidates&quot;: [ # Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.
           { # Candidate for the logprobs token and score.
             &quot;logProbability&quot;: 3.14, # The candidate&#x27;s log probability.
-            &quot;token&quot;: &quot;A String&quot;, # The candidate’s token string value.
-            &quot;tokenId&quot;: 42, # The candidate’s token id value.
+            &quot;token&quot;: &quot;A String&quot;, # The candidate&#x27;s token string value.
+            &quot;tokenId&quot;: 42, # The candidate&#x27;s token id value.
           },
         ],
         &quot;topCandidates&quot;: [ # Length = total number of decoding steps.
           { # Candidates with top log probabilities at each decoding step.
             &quot;candidates&quot;: [ # Sorted by log probability in descending order.
               { # Candidate for the logprobs token and score.
                 &quot;logProbability&quot;: 3.14, # The candidate&#x27;s log probability.
-                &quot;token&quot;: &quot;A String&quot;, # The candidate’s token string value.
-                &quot;tokenId&quot;: 42, # The candidate’s token id value.
+                &quot;token&quot;: &quot;A String&quot;, # The candidate&#x27;s token string value.
+                &quot;tokenId&quot;: 42, # The candidate&#x27;s token id value.
               },
             ],
           },
 
@@ -0,0 +1,127 @@
+<html><body>
+<style>
+
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+.firstline {
+  margin-left: 2 em;
+}
+
+.method  {
+  margin-top: 1em;
+  border: solid 1px #CCC;
+  padding: 1em;
+  background: #EEE;
+}
+
+.details {
+  font-weight: bold;
+  font-size: 14px;
+}
+
+</style>
+
+<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.endpoints.html">endpoints</a> . <a href="aiplatform_v1.projects.locations.endpoints.chat.html">chat</a></h1>
+<h2>Instance Methods</h2>
+<p class="toc_element">
+  <code><a href="#close">close()</a></code></p>
+<p class="firstline">Close httplib2 connections.</p>
+<p class="toc_element">
+  <code><a href="#completions">completions(endpoint, body=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Exposes an OpenAI-compatible endpoint for chat completions.</p>
+<h3>Method Details</h3>
+<div class="method">
+    <code class="details" id="close">close()</code>
+  <pre>Close httplib2 connections.</pre>
+</div>
+
+<div class="method">
+    <code class="details" id="completions">completions(endpoint, body=None, x__xgafv=None)</code>
+  <pre>Exposes an OpenAI-compatible endpoint for chat completions.
+
+Args:
+  endpoint: string, Required. The name of the endpoint requested to serve the prediction. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can&#x27;t be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  &quot;contentType&quot;: &quot;A String&quot;, # The HTTP Content-Type header value specifying the content type of the body.
+  &quot;data&quot;: &quot;A String&quot;, # The HTTP request/response body as raw binary.
+  &quot;extensions&quot;: [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can&#x27;t be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  &quot;contentType&quot;: &quot;A String&quot;, # The HTTP Content-Type header value specifying the content type of the body.
+  &quot;data&quot;: &quot;A String&quot;, # The HTTP request/response body as raw binary.
+  &quot;extensions&quot;: [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}</pre>
+</div>
+
+</body></html>