All URIs are relative to https://unit-tenant.instana.io
| Method | HTTP request | Description |
|---|---|---|
| delete_llm_model_price | DELETE /api/settings/llm-pricing/{provider}/{modelName} | Delete LLM model price |
| delete_llm_model_price_by_query | DELETE /api/settings/llm-pricing | Delete LLM model price |
| delete_llm_model_price_without_provider | DELETE /api/settings/llm-pricing/model/{modelName} | Delete LLM model price without provider |
| get_all_llm_model_prices | GET /api/settings/llm-pricing | Get all LLM model prices |
| get_llm_model_currency | GET /api/settings/llm-pricing/currency | Get currency for LLM model prices |
| get_llm_model_price | GET /api/settings/llm-pricing/{provider}/{modelName} | Get LLM model price |
| get_llm_model_price_without_provider | GET /api/settings/llm-pricing/model/{modelName} | Get LLM model price without provider |
| set_llm_model_currency | PUT /api/settings/llm-pricing/currency | Set currency for LLM model prices |
| upsert_llm_model_price | PUT /api/settings/llm-pricing/{provider}/{modelName} | Upsert LLM model price |
| upsert_llm_model_price_from_body | PUT /api/settings/llm-pricing | Upsert LLM model price |
| upsert_llm_model_price_without_provider | PUT /api/settings/llm-pricing/model/{modelName} | Upsert LLM model price without provider |
delete_llm_model_price(provider, model_name, platform=platform)
Delete LLM model price
Delete a tenant-specific price configuration for a specific provider+model. Optionally specify a platform. Only user-defined prices can be deleted.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
provider = 'openai' # str |
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
try:
# Delete LLM model price
api_instance.delete_llm_model_price(provider, model_name, platform=platform)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->delete_llm_model_price: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| provider | str | ||
| model_name | str | ||
| platform | str | [optional] |
void (empty response body)
- Content-Type: Not defined
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 204 | No Content - Successfully deleted | - |
| 404 | Not Found - Price configuration does not exist | - |
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delete_llm_model_price_by_query(provider=provider, model_name=model_name, platform=platform)
Delete LLM model price
Delete a tenant-specific price configuration for a specific provider+model. Optionally specify a platform. Only user-defined prices can be deleted.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
provider = 'openai' # str | (optional)
model_name = 'gpt-4' # str | (optional)
platform = 'aws' # str | (optional)
try:
# Delete LLM model price
api_instance.delete_llm_model_price_by_query(provider=provider, model_name=model_name, platform=platform)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->delete_llm_model_price_by_query: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| provider | str | [optional] | |
| model_name | str | [optional] | |
| platform | str | [optional] |
void (empty response body)
- Content-Type: Not defined
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 204 | No Content - Successfully deleted | - |
| 404 | Not Found - Price configuration does not exist | - |
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delete_llm_model_price_without_provider(model_name, platform=platform)
Delete LLM model price without provider
Delete a tenant-specific price configuration for a model without specifying provider. Optionally specify a platform. Only user-defined prices can be deleted.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
try:
# Delete LLM model price without provider
api_instance.delete_llm_model_price_without_provider(model_name, platform=platform)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->delete_llm_model_price_without_provider: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| model_name | str | ||
| platform | str | [optional] |
void (empty response body)
- Content-Type: Not defined
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 204 | No Content - Successfully deleted | - |
| 404 | Not Found - Price configuration does not exist | - |
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LlmModelPrice get_all_llm_model_prices()
Get all LLM model prices
Fetch all LLM price configurations for the current tenant unit.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
try:
# Get all LLM model prices
api_response = api_instance.get_all_llm_model_prices()
print("The response of LLMPriceConfigurationApi->get_all_llm_model_prices:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->get_all_llm_model_prices: %s\n" % e)This endpoint does not need any parameter.
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
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LlmModelPriceMetadata get_llm_model_currency()
Get currency for LLM model prices
Fetch the currency code used for LLM model pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price_metadata import LlmModelPriceMetadata
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
try:
# Get currency for LLM model prices
api_response = api_instance.get_llm_model_currency()
print("The response of LLMPriceConfigurationApi->get_llm_model_currency:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->get_llm_model_currency: %s\n" % e)This endpoint does not need any parameter.
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
| 404 | Not Found | - |
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LlmModelPrice get_llm_model_price(provider, model_name, platform=platform)
Get LLM model price
Fetch the price for a specific provider+model. Optionally specify a platform for platform-specific pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
provider = 'openai' # str |
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
try:
# Get LLM model price
api_response = api_instance.get_llm_model_price(provider, model_name, platform=platform)
print("The response of LLMPriceConfigurationApi->get_llm_model_price:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->get_llm_model_price: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| provider | str | ||
| model_name | str | ||
| platform | str | [optional] |
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
| 404 | Not Found | - |
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LlmModelPrice get_llm_model_price_without_provider(model_name, platform=platform)
Get LLM model price without provider
Fetch the price for a model without specifying provider. Optionally specify a platform for platform-specific pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
try:
# Get LLM model price without provider
api_response = api_instance.get_llm_model_price_without_provider(model_name, platform=platform)
print("The response of LLMPriceConfigurationApi->get_llm_model_price_without_provider:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->get_llm_model_price_without_provider: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| model_name | str | ||
| platform | str | [optional] |
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
| 404 | Not Found | - |
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LlmModelPriceMetadata set_llm_model_currency(llm_model_price_metadata=llm_model_price_metadata)
Set currency for LLM model prices
Set the currency code used for LLM model pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price_metadata import LlmModelPriceMetadata
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
llm_model_price_metadata = {"currencyCode":"USD"} # LlmModelPriceMetadata | (optional)
try:
# Set currency for LLM model prices
api_response = api_instance.set_llm_model_currency(llm_model_price_metadata=llm_model_price_metadata)
print("The response of LLMPriceConfigurationApi->set_llm_model_currency:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->set_llm_model_currency: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| llm_model_price_metadata | LlmModelPriceMetadata | [optional] |
- Content-Type: application/json
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
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upsert_llm_model_price(provider, model_name, platform=platform, llm_model_price=llm_model_price)
Upsert LLM model price
Create or update price for a specific provider+model. Optionally specify a platform for platform-specific pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
provider = 'openai' # str |
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
llm_model_price = {"inputCost":0.5,"outputCost":1.5} # LlmModelPrice | (optional)
try:
# Upsert LLM model price
api_instance.upsert_llm_model_price(provider, model_name, platform=platform, llm_model_price=llm_model_price)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->upsert_llm_model_price: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| provider | str | ||
| model_name | str | ||
| platform | str | [optional] | |
| llm_model_price | LlmModelPrice | [optional] |
void (empty response body)
- Content-Type: application/json
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
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upsert_llm_model_price_from_body(llm_model_price=llm_model_price)
Upsert LLM model price
Create or update price for a specific provider+model. Optionally specify a platform for platform-specific pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
llm_model_price = {"provider":"openai","modelName":"gpt-4","inputCost":0.5,"outputCost":1.5} # LlmModelPrice | (optional)
try:
# Upsert LLM model price
api_instance.upsert_llm_model_price_from_body(llm_model_price=llm_model_price)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->upsert_llm_model_price_from_body: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| llm_model_price | LlmModelPrice | [optional] |
void (empty response body)
- Content-Type: application/json
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
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upsert_llm_model_price_without_provider(model_name, platform=platform, llm_model_price=llm_model_price)
Upsert LLM model price without provider
Create or update price for a model without specifying provider. Optionally specify a platform for platform-specific pricing.
- Api Key Authentication (ApiKeyAuth):
import instana_client
from instana_client.models.llm_model_price import LlmModelPrice
from instana_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://unit-tenant.instana.io
# See configuration.py for a list of all supported configuration parameters.
configuration = instana_client.Configuration(
host = "https://unit-tenant.instana.io"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'
# Enter a context with an instance of the API client
with instana_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = instana_client.LLMPriceConfigurationApi(api_client)
model_name = 'gpt-4' # str |
platform = 'aws' # str | (optional)
llm_model_price = {"inputCost":0.5,"outputCost":1.5} # LlmModelPrice | (optional)
try:
# Upsert LLM model price without provider
api_instance.upsert_llm_model_price_without_provider(model_name, platform=platform, llm_model_price=llm_model_price)
except Exception as e:
print("Exception when calling LLMPriceConfigurationApi->upsert_llm_model_price_without_provider: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| model_name | str | ||
| platform | str | [optional] | |
| llm_model_price | LlmModelPrice | [optional] |
void (empty response body)
- Content-Type: application/json
- Accept: Not defined
| Status code | Description | Response headers |
|---|---|---|
| 200 | OK | - |
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