chore: Update discovery artifacts

docs/dyn/aiplatform_v1.endpoints.html

@@ -365,6 +365,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
@@ -1020,6 +1021,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
@@ -2035,6 +2037,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.

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

@@ -132,7 +132,7 @@ <h3>Method Details</h3>
   &quot;object&quot;: &quot;A String&quot;, # Output only. The object type of the resource. For agents, the value is `agent`.
   &quot;observabilityConfig&quot;: { # Observability settings for one agent&#x27;s sessions. # Optional. Observability settings for this agent&#x27;s sessions.
     &quot;observabilityEnabled&quot;: True or False, # Optional. Enables observability for this agent&#x27;s sessions: OpenTelemetry span emission covering tool names, model names, token counts, latencies and status. If `false`, the other fields here are ignored.
-    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Not yet enforced: `CreateAgent` and `UpdateAgent` currently reject setting this to `true`.
+    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Settable and returned, but NOT YET ENFORCED. Nothing reads it at runtime, so `true` does not currently cause content to be captured, and `false` is not what keeps content from being captured. Treat it as a recorded intention that takes effect when enforcement lands.
   },
   &quot;system_instruction&quot;: &quot;A String&quot;, # Optional. The instructions for the agent to follow. These instructions are passed to the LLM as a system instruction.
   &quot;tools&quot;: [ # Optional. The tools available to the agent.
@@ -240,7 +240,7 @@ <h3>Method Details</h3>
   &quot;object&quot;: &quot;A String&quot;, # Output only. The object type of the resource. For agents, the value is `agent`.
   &quot;observabilityConfig&quot;: { # Observability settings for one agent&#x27;s sessions. # Optional. Observability settings for this agent&#x27;s sessions.
     &quot;observabilityEnabled&quot;: True or False, # Optional. Enables observability for this agent&#x27;s sessions: OpenTelemetry span emission covering tool names, model names, token counts, latencies and status. If `false`, the other fields here are ignored.
-    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Not yet enforced: `CreateAgent` and `UpdateAgent` currently reject setting this to `true`.
+    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Settable and returned, but NOT YET ENFORCED. Nothing reads it at runtime, so `true` does not currently cause content to be captured, and `false` is not what keeps content from being captured. Treat it as a recorded intention that takes effect when enforcement lands.
   },
   &quot;system_instruction&quot;: &quot;A String&quot;, # Optional. The instructions for the agent to follow. These instructions are passed to the LLM as a system instruction.
   &quot;tools&quot;: [ # Optional. The tools available to the agent.
@@ -325,7 +325,7 @@ <h3>Method Details</h3>
       &quot;object&quot;: &quot;A String&quot;, # Output only. The object type of the resource. For agents, the value is `agent`.
       &quot;observabilityConfig&quot;: { # Observability settings for one agent&#x27;s sessions. # Optional. Observability settings for this agent&#x27;s sessions.
         &quot;observabilityEnabled&quot;: True or False, # Optional. Enables observability for this agent&#x27;s sessions: OpenTelemetry span emission covering tool names, model names, token counts, latencies and status. If `false`, the other fields here are ignored.
-        &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Not yet enforced: `CreateAgent` and `UpdateAgent` currently reject setting this to `true`.
+        &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Settable and returned, but NOT YET ENFORCED. Nothing reads it at runtime, so `true` does not currently cause content to be captured, and `false` is not what keeps content from being captured. Treat it as a recorded intention that takes effect when enforcement lands.
       },
       &quot;system_instruction&quot;: &quot;A String&quot;, # Optional. The instructions for the agent to follow. These instructions are passed to the LLM as a system instruction.
       &quot;tools&quot;: [ # Optional. The tools available to the agent.
@@ -381,7 +381,7 @@ <h3>Method Details</h3>
   &quot;object&quot;: &quot;A String&quot;, # Output only. The object type of the resource. For agents, the value is `agent`.
   &quot;observabilityConfig&quot;: { # Observability settings for one agent&#x27;s sessions. # Optional. Observability settings for this agent&#x27;s sessions.
     &quot;observabilityEnabled&quot;: True or False, # Optional. Enables observability for this agent&#x27;s sessions: OpenTelemetry span emission covering tool names, model names, token counts, latencies and status. If `false`, the other fields here are ignored.
-    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Not yet enforced: `CreateAgent` and `UpdateAgent` currently reject setting this to `true`.
+    &quot;sensitiveLoggingEnabled&quot;: True or False, # Optional. Enables sensitive logging. Sensitive logging includes customer core content (prompts, model completions, tool argument payloads and tool responses). If `false`, those are sanitized and only structural attributes are recorded. No effect unless `observability_enabled` is true. Settable and returned, but NOT YET ENFORCED. Nothing reads it at runtime, so `true` does not currently cause content to be captured, and `false` is not what keeps content from being captured. Treat it as a recorded intention that takes effect when enforcement lands.
   },
   &quot;system_instruction&quot;: &quot;A String&quot;, # Optional. The instructions for the agent to follow. These instructions are passed to the LLM as a system instruction.
   &quot;tools&quot;: [ # Optional. The tools available to the agent.

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

@@ -438,6 +438,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
@@ -1989,6 +1990,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
@@ -4486,6 +4488,7 @@ <h3>Method Details</h3>
           &quot;A String&quot;,
         ],
       },
+      &quot;mode&quot;: &quot;A String&quot;, # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
       &quot;wordTimestamp&quot;: True or False, # Optional. Configures word-level timestamp generation.
     },
     &quot;candidateCount&quot;: 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.