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feat: add text field for Grounding metadata support chunk output
PiperOrigin-RevId: 688271012
1 parent 76ca663 commit 09f411d

4 files changed

Lines changed: 17 additions & 11 deletions

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‎google/cloud/aiplatform/v1/content.proto‎

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@@ -515,6 +515,9 @@ message GroundingChunk {
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// Title of the attribution.
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optional string title = 2;
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// Text of the attribution.
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optional string text = 3;
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}
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// Chunk type.
@@ -581,11 +584,11 @@ message SearchEntryPoint {
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// Metadata related to retrieval in the grounding flow.
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message RetrievalMetadata {
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// Optional. Score indicating how likely information from google search could
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// Optional. Score indicating how likely information from Google Search could
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// help answer the prompt. The score is in the range `[0, 1]`, where 0 is the
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// least likely and 1 is the most likely. This score is only populated when
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// google search grounding and dynamic retrieval is enabled. It will be
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// compared to the threshold to determine whether to trigger google search.
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// Google Search grounding and dynamic retrieval is enabled. It will be
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// compared to the threshold to determine whether to trigger Google Search.
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float google_search_dynamic_retrieval_score = 2
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[(google.api.field_behavior) = OPTIONAL];
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}

‎google/cloud/aiplatform/v1/tool.proto‎

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@@ -133,9 +133,9 @@ message Retrieval {
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}
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// Retrieve from Vertex AI Search datastore for grounding.
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// See https://cloud.google.com/vertex-ai-search-and-conversation
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// See https://cloud.google.com/products/agent-builder
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message VertexAISearch {
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// Required. Fully-qualified Vertex AI Search's datastore resource ID.
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// Required. Fully-qualified Vertex AI Search data store resource ID.
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// Format:
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// `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
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string datastore = 1 [(google.api.field_behavior) = REQUIRED];

‎google/cloud/aiplatform/v1beta1/content.proto‎

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Original file line numberDiff line numberDiff line change
@@ -516,6 +516,9 @@ message GroundingChunk {
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// Title of the attribution.
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optional string title = 2;
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// Text of the attribution.
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optional string text = 3;
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}
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// Chunk type.
@@ -586,11 +589,11 @@ message SearchEntryPoint {
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// Metadata related to retrieval in the grounding flow.
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message RetrievalMetadata {
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// Optional. Score indicating how likely information from google search could
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// help answer the prompt. The score is in the range [0, 1], where 0 is the
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// Optional. Score indicating how likely information from Google Search could
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// help answer the prompt. The score is in the range `[0, 1]`, where 0 is the
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// least likely and 1 is the most likely. This score is only populated when
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// google search grounding and dynamic retrieval is enabled. It will be
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// compared to the threshold to determine whether to trigger google search.
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// Google Search grounding and dynamic retrieval is enabled. It will be
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// compared to the threshold to determine whether to trigger Google Search.
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float google_search_dynamic_retrieval_score = 2
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[(google.api.field_behavior) = OPTIONAL];
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}

‎google/cloud/aiplatform/v1beta1/tool.proto‎

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Original file line numberDiff line numberDiff line change
@@ -224,9 +224,9 @@ message VertexRagStore {
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}
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// Retrieve from Vertex AI Search datastore for grounding.
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// See https://cloud.google.com/vertex-ai-search-and-conversation
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// See https://cloud.google.com/products/agent-builder
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message VertexAISearch {
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// Required. Fully-qualified Vertex AI Search's datastore resource ID.
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// Required. Fully-qualified Vertex AI Search data store resource ID.
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// Format:
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// `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
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string datastore = 1 [(google.api.field_behavior) = REQUIRED];

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