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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -227,7 +227,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
@@ -303,7 +303,7 @@ <h3>Method Details</h3>
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],
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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -315,7 +315,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
@@ -331,7 +331,7 @@ <h3>Method Details</h3>
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],
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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -343,7 +343,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
@@ -442,6 +442,53 @@ <h3>Method Details</h3>
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"finishMessage": "A String", # Output only. Describes the reason the mode stopped generating tokens in more detail. This is only filled when `finish_reason` is set.
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"finishReason": "A String", # Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating the tokens.
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"groundingMetadata": { # Metadata returned to client when grounding is enabled. # Output only. Metadata specifies sources used to ground generated content.
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"groundingAttributions": [ # Optional. List of grounding attributions.
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{ # Grounding attribution.
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"confidenceScore": 3.14, # Optional. Output only. Confidence score of the attribution. Ranges from 0 to 1. 1 is the most confident.
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"retrievedContext": { # Attribution from context retrieved by the retrieval tools. # Optional. Attribution from context retrieved by the retrieval tools.
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"title": "A String", # Output only. Title of the attribution.
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"uri": "A String", # Output only. URI reference of the attribution.
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},
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"segment": { # Segment of the content. # Output only. Segment of the content this attribution belongs to.
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"endIndex": 42, # Output only. End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.
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"partIndex": 42, # Output only. The index of a Part object within its parent Content object.
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"startIndex": 42, # Output only. Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.
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"text": "A String", # Output only. The text corresponding to the segment from the response.
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},
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"web": { # Attribution from the web. # Optional. Attribution from the web.
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"title": "A String", # Output only. Title of the attribution.
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"uri": "A String", # Output only. URI reference of the attribution.
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},
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},
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],
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"groundingChunks": [ # List of supporting references retrieved from specified grounding source.
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{ # Grounding chunk.
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"retrievedContext": { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
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"title": "A String", # Title of the attribution.
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"uri": "A String", # URI reference of the attribution.
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},
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"web": { # Chunk from the web. # Grounding chunk from the web.
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"title": "A String", # Title of the chunk.
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"uri": "A String", # URI reference of the chunk.
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},
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},
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],
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"groundingSupports": [ # Optional. List of grounding support.
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{ # Grounding support.
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"confidenceScores": [ # Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.
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3.14,
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],
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"groundingChunkIndices": [ # A list of indices (into 'grounding_chunk') specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim.
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42,
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],
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"segment": { # Segment of the content. # Segment of the content this support belongs to.
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"endIndex": 42, # Output only. End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.
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"partIndex": 42, # Output only. The index of a Part object within its parent Content object.
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"startIndex": 42, # Output only. Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.
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"text": "A String", # Output only. The text corresponding to the segment from the response.
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},
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},
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],
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"retrievalQueries": [ # Optional. Queries executed by the retrieval tools.
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"A String",
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],
@@ -547,7 +594,7 @@ <h3>Method Details</h3>
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],
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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -559,7 +606,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
@@ -635,7 +682,7 @@ <h3>Method Details</h3>
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],
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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -647,7 +694,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
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],
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"example": "", # Optional. Example of the object. Will only populated when the object is the root.
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"format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
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"items": # Object with schema name: Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
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"maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
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"maxLength": "A String", # Optional. Maximum length of the Type.STRING
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"maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
@@ -675,7 +722,7 @@ <h3>Method Details</h3>
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"nullable": True or False, # Optional. Indicates if the value may be null.
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"pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
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"properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
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"a_key": # Object with schema name: Schema
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"a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
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},
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"required": [ # Optional. Required properties of Type.OBJECT.
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"A String",
@@ -774,6 +821,53 @@ <h3>Method Details</h3>
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"finishMessage": "A String", # Output only. Describes the reason the mode stopped generating tokens in more detail. This is only filled when `finish_reason` is set.
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"finishReason": "A String", # Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating the tokens.
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"groundingMetadata": { # Metadata returned to client when grounding is enabled. # Output only. Metadata specifies sources used to ground generated content.
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"groundingAttributions": [ # Optional. List of grounding attributions.
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{ # Grounding attribution.
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"confidenceScore": 3.14, # Optional. Output only. Confidence score of the attribution. Ranges from 0 to 1. 1 is the most confident.
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"retrievedContext": { # Attribution from context retrieved by the retrieval tools. # Optional. Attribution from context retrieved by the retrieval tools.
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"title": "A String", # Output only. Title of the attribution.
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"uri": "A String", # Output only. URI reference of the attribution.
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},
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"segment": { # Segment of the content. # Output only. Segment of the content this attribution belongs to.
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"endIndex": 42, # Output only. End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.
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"partIndex": 42, # Output only. The index of a Part object within its parent Content object.
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"startIndex": 42, # Output only. Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.
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"text": "A String", # Output only. The text corresponding to the segment from the response.
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},
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"web": { # Attribution from the web. # Optional. Attribution from the web.
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"title": "A String", # Output only. Title of the attribution.
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"uri": "A String", # Output only. URI reference of the attribution.
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},
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},
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],
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"groundingChunks": [ # List of supporting references retrieved from specified grounding source.
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{ # Grounding chunk.
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"retrievedContext": { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
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"title": "A String", # Title of the attribution.
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"uri": "A String", # URI reference of the attribution.
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},
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"web": { # Chunk from the web. # Grounding chunk from the web.
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"title": "A String", # Title of the chunk.
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"uri": "A String", # URI reference of the chunk.
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},
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},
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],
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"groundingSupports": [ # Optional. List of grounding support.
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{ # Grounding support.
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"confidenceScores": [ # Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.
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3.14,
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],
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"groundingChunkIndices": [ # A list of indices (into 'grounding_chunk') specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim.
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42,
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],
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"segment": { # Segment of the content. # Segment of the content this support belongs to.
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"endIndex": 42, # Output only. End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.
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"partIndex": 42, # Output only. The index of a Part object within its parent Content object.
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"startIndex": 42, # Output only. Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.
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"text": "A String", # Output only. The text corresponding to the segment from the response.
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},
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},
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],
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"retrievalQueries": [ # Optional. Queries executed by the retrieval tools.
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