As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

DiscussService¶

class google.ai.generativelanguage_v1beta2.services.discuss_service.DiscussServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport, typing.Callable[[...], google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

An API for using Generative Language Models (GLMs) in dialog applications. Also known as large language models (LLMs), this API provides models that are trained for multi-turn dialog.

Instantiates the discuss service async client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,DiscussServiceTransport,Callable[..., DiscussServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DiscussServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async count_message_tokens(request: Optional[Union[google.ai.generativelanguage_v1beta2.types.discuss_service.CountMessageTokensRequest, dict]] = None, *, model: Optional[str] = None, prompt: Optional[google.ai.generativelanguage_v1beta2.types.discuss_service.MessagePrompt] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta2.types.discuss_service.CountMessageTokensResponse[source]¶

Runs a model’s tokenizer on a string and returns the token count.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta2

async def sample_count_message_tokens():
    # Create a client
    client = generativelanguage_v1beta2.DiscussServiceAsyncClient()

    # Initialize request argument(s)
    prompt = generativelanguage_v1beta2.MessagePrompt()
    prompt.messages.content = "content_value"

    request = generativelanguage_v1beta2.CountMessageTokensRequest(
        model="model_value",
        prompt=prompt,
    )

    # Make the request
    response = await client.count_message_tokens(request=request)

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.ai.generativelanguage_v1beta2.types.CountMessageTokensRequest, dict]]) –
The request object. Counts the number of tokens in the prompt sent to a model.

Models may tokenize text differently, so each model may return a different token_count.
model (str) –
Required. The model’s resource name. This serves as an ID for the Model to use.

This name should match a model name returned by the ListModels method.

Format: models/{model}

This corresponds to the model field on the request instance; if request is provided, this should not be set.
prompt (google.ai.generativelanguage_v1beta2.types.MessagePrompt) –
Required. The prompt, whose token count is to be returned.

This corresponds to the prompt field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A response from CountMessageTokens.

It returns the model’s token_count for the prompt.

Return type

google.ai.generativelanguage_v1beta2.types.CountMessageTokensResponse

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceAsyncClient

async generate_message(request: Optional[Union[google.ai.generativelanguage_v1beta2.types.discuss_service.GenerateMessageRequest, dict]] = None, *, model: Optional[str] = None, prompt: Optional[google.ai.generativelanguage_v1beta2.types.discuss_service.MessagePrompt] = None, temperature: Optional[float] = None, candidate_count: Optional[int] = None, top_p: Optional[float] = None, top_k: Optional[int] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta2.types.discuss_service.GenerateMessageResponse[source]¶

Generates a response from the model given an input MessagePrompt.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta2

async def sample_generate_message():
    # Create a client
    client = generativelanguage_v1beta2.DiscussServiceAsyncClient()

    # Initialize request argument(s)
    prompt = generativelanguage_v1beta2.MessagePrompt()
    prompt.messages.content = "content_value"

    request = generativelanguage_v1beta2.GenerateMessageRequest(
        model="model_value",
        prompt=prompt,
    )

    # Make the request
    response = await client.generate_message(request=request)

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.ai.generativelanguage_v1beta2.types.GenerateMessageRequest, dict]]) – The request object. Request to generate a message response from the model.
model (str) –
Required. The name of the model to use.

Format: name=models/{model}.

This corresponds to the model field on the request instance; if request is provided, this should not be set.
prompt (google.ai.generativelanguage_v1beta2.types.MessagePrompt) –
Required. The structured textual input given to the model as a prompt. Given a prompt, the model will return what it predicts is the next message in the discussion.

This corresponds to the prompt field on the request instance; if request is provided, this should not be set.
temperature (float) –
Optional. Controls the randomness of the output.

Values can range over [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied, while a value closer to 0.0 will typically result in less surprising responses from the model.

This corresponds to the temperature field on the request instance; if request is provided, this should not be set.
candidate_count (int) –
Optional. The number of generated response messages to return.

This value must be between [1, 8], inclusive. If unset, this will default to 1.

This corresponds to the candidate_count field on the request instance; if request is provided, this should not be set.
top_p (float) –
Optional. The maximum cumulative probability of tokens to consider when sampling.

The model uses combined Top-k and nucleus sampling.

Nucleus sampling considers the smallest set of tokens whose probability sum is at least top_p.

This corresponds to the top_p field on the request instance; if request is provided, this should not be set.
top_k (int) –
Optional. The maximum number of tokens to consider when sampling.

The model uses combined Top-k and nucleus sampling.

Top-k sampling considers the set of top_k most probable tokens.

This corresponds to the top_k field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from the model.

This includes candidate messages and conversation history in the form of chronologically-ordered messages.

Return type

google.ai.generativelanguage_v1beta2.types.GenerateMessageResponse

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

classmethod get_transport_class(label: Optional[str] = None) → Type[google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

static model_path(model: str) → str¶: Returns a fully-qualified model string.

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_model_path(path: str) → Dict[str, str]¶: Parses a model path into its component segments.

property transport: google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: DiscussServiceTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

class google.ai.generativelanguage_v1beta2.services.discuss_service.DiscussServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport, typing.Callable[[...], google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

An API for using Generative Language Models (GLMs) in dialog applications. Also known as large language models (LLMs), this API provides models that are trained for multi-turn dialog.

Instantiates the discuss service client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,DiscussServiceTransport,Callable[..., DiscussServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DiscussServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

count_message_tokens(request: Optional[Union[google.ai.generativelanguage_v1beta2.types.discuss_service.CountMessageTokensRequest, dict]] = None, *, model: Optional[str] = None, prompt: Optional[google.ai.generativelanguage_v1beta2.types.discuss_service.MessagePrompt] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta2.types.discuss_service.CountMessageTokensResponse[source]¶

Runs a model’s tokenizer on a string and returns the token count.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta2

def sample_count_message_tokens():
    # Create a client
    client = generativelanguage_v1beta2.DiscussServiceClient()

    # Initialize request argument(s)
    prompt = generativelanguage_v1beta2.MessagePrompt()
    prompt.messages.content = "content_value"

    request = generativelanguage_v1beta2.CountMessageTokensRequest(
        model="model_value",
        prompt=prompt,
    )

    # Make the request
    response = client.count_message_tokens(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.ai.generativelanguage_v1beta2.types.CountMessageTokensRequest, dict]) –
The request object. Counts the number of tokens in the prompt sent to a model.

Models may tokenize text differently, so each model may return a different token_count.
model (str) –
Required. The model’s resource name. This serves as an ID for the Model to use.

This name should match a model name returned by the ListModels method.

Format: models/{model}

This corresponds to the model field on the request instance; if request is provided, this should not be set.
prompt (google.ai.generativelanguage_v1beta2.types.MessagePrompt) –
Required. The prompt, whose token count is to be returned.

This corresponds to the prompt field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A response from CountMessageTokens.

It returns the model’s token_count for the prompt.

Return type

google.ai.generativelanguage_v1beta2.types.CountMessageTokensResponse

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DiscussServiceClient

generate_message(request: Optional[Union[google.ai.generativelanguage_v1beta2.types.discuss_service.GenerateMessageRequest, dict]] = None, *, model: Optional[str] = None, prompt: Optional[google.ai.generativelanguage_v1beta2.types.discuss_service.MessagePrompt] = None, temperature: Optional[float] = None, candidate_count: Optional[int] = None, top_p: Optional[float] = None, top_k: Optional[int] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta2.types.discuss_service.GenerateMessageResponse[source]¶

Generates a response from the model given an input MessagePrompt.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta2

def sample_generate_message():
    # Create a client
    client = generativelanguage_v1beta2.DiscussServiceClient()

    # Initialize request argument(s)
    prompt = generativelanguage_v1beta2.MessagePrompt()
    prompt.messages.content = "content_value"

    request = generativelanguage_v1beta2.GenerateMessageRequest(
        model="model_value",
        prompt=prompt,
    )

    # Make the request
    response = client.generate_message(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.ai.generativelanguage_v1beta2.types.GenerateMessageRequest, dict]) – The request object. Request to generate a message response from the model.
model (str) –
Required. The name of the model to use.

Format: name=models/{model}.

This corresponds to the model field on the request instance; if request is provided, this should not be set.
prompt (google.ai.generativelanguage_v1beta2.types.MessagePrompt) –
Required. The structured textual input given to the model as a prompt. Given a prompt, the model will return what it predicts is the next message in the discussion.

This corresponds to the prompt field on the request instance; if request is provided, this should not be set.
temperature (float) –
Optional. Controls the randomness of the output.

Values can range over [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied, while a value closer to 0.0 will typically result in less surprising responses from the model.

This corresponds to the temperature field on the request instance; if request is provided, this should not be set.
candidate_count (int) –
Optional. The number of generated response messages to return.

This value must be between [1, 8], inclusive. If unset, this will default to 1.

This corresponds to the candidate_count field on the request instance; if request is provided, this should not be set.
top_p (float) –
Optional. The maximum cumulative probability of tokens to consider when sampling.

The model uses combined Top-k and nucleus sampling.

Nucleus sampling considers the smallest set of tokens whose probability sum is at least top_p.

This corresponds to the top_p field on the request instance; if request is provided, this should not be set.
top_k (int) –
Optional. The maximum number of tokens to consider when sampling.

The model uses combined Top-k and nucleus sampling.

Top-k sampling considers the set of top_k most probable tokens.

This corresponds to the top_k field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from the model.

This includes candidate messages and conversation history in the form of chronologically-ordered messages.

Return type

google.ai.generativelanguage_v1beta2.types.GenerateMessageResponse

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

static model_path(model: str) → str[source]¶: Returns a fully-qualified model string.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_model_path(path: str) → Dict[str, str][source]¶: Parses a model path into its component segments.

property transport: google.ai.generativelanguage_v1beta2.services.discuss_service.transports.base.DiscussServiceTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

DiscussServiceTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

DiscussService¶

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