Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class CountTokensRequest.
Request message for PredictionService.CountTokens.
Generated from protobuf message google.cloud.aiplatform.v1.CountTokensRequest
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ endpoint |
string
Required. The name of the Endpoint requested to perform token counting. Format: |
↳ model |
string
Optional. The name of the publisher model requested to serve the prediction. Format: |
↳ instances |
array<Google\Protobuf\Value>
Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model. |
↳ contents |
array<Google\Cloud\AIPlatform\V1\Content>
Optional. Input content. |
↳ system_instruction |
Google\Cloud\AIPlatform\V1\Content
Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph. |
↳ tools |
array<Google\Cloud\AIPlatform\V1\Tool>
Optional. A list of |
↳ generation_config |
Google\Cloud\AIPlatform\V1\GenerationConfig
Optional. Generation config that the model will use to generate the response. |
getEndpoint
Required. The name of the Endpoint requested to perform token counting.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
Returns | |
---|---|
Type | Description |
string |
setEndpoint
Required. The name of the Endpoint requested to perform token counting.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
Parameter | |
---|---|
Name | Description |
var |
string
|
Returns | |
---|---|
Type | Description |
$this |
getModel
Optional. The name of the publisher model requested to serve the
prediction. Format:
projects/{project}/locations/{location}/publishers/*/models/*
Returns | |
---|---|
Type | Description |
string |
setModel
Optional. The name of the publisher model requested to serve the
prediction. Format:
projects/{project}/locations/{location}/publishers/*/models/*
Parameter | |
---|---|
Name | Description |
var |
string
|
Returns | |
---|---|
Type | Description |
$this |
getInstances
Optional. The instances that are the input to token counting call.
Schema is identical to the prediction schema of the underlying model.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setInstances
Optional. The instances that are the input to token counting call.
Schema is identical to the prediction schema of the underlying model.
Parameter | |
---|---|
Name | Description |
var |
array<Google\Protobuf\Value>
|
Returns | |
---|---|
Type | Description |
$this |
getContents
Optional. Input content.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setContents
Optional. Input content.
Parameter | |
---|---|
Name | Description |
var |
array<Google\Cloud\AIPlatform\V1\Content>
|
Returns | |
---|---|
Type | Description |
$this |
getSystemInstruction
Optional. The user provided system instructions for the model.
Note: only text should be used in parts and content in each part will be in a separate paragraph.
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\Content|null |
hasSystemInstruction
clearSystemInstruction
setSystemInstruction
Optional. The user provided system instructions for the model.
Note: only text should be used in parts and content in each part will be in a separate paragraph.
Parameter | |
---|---|
Name | Description |
var |
Google\Cloud\AIPlatform\V1\Content
|
Returns | |
---|---|
Type | Description |
$this |
getTools
Optional. A list of Tools
the model may use to generate the next
response.
A Tool
is a piece of code that enables the system to interact with
external systems to perform an action, or set of actions, outside of
knowledge and scope of the model.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setTools
Optional. A list of Tools
the model may use to generate the next
response.
A Tool
is a piece of code that enables the system to interact with
external systems to perform an action, or set of actions, outside of
knowledge and scope of the model.
Parameter | |
---|---|
Name | Description |
var |
array<Google\Cloud\AIPlatform\V1\Tool>
|
Returns | |
---|---|
Type | Description |
$this |
getGenerationConfig
Optional. Generation config that the model will use to generate the response.
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\GenerationConfig|null |
hasGenerationConfig
clearGenerationConfig
setGenerationConfig
Optional. Generation config that the model will use to generate the response.
Parameter | |
---|---|
Name | Description |
var |
Google\Cloud\AIPlatform\V1\GenerationConfig
|
Returns | |
---|---|
Type | Description |
$this |
static::build
Parameters | |
---|---|
Name | Description |
endpoint |
string
Required. The name of the Endpoint requested to perform token counting.
Format:
|
instances |
array<Google\Protobuf\Value>
Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model. |
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\CountTokensRequest |