All URIs are relative to http://localhost
| Method | HTTP request | Description |
|---|---|---|
| embed_texts | POST /openai/v1/embeddings | Embed Texts |
| generate_chat_completions | POST /openai/v1/chat/completions | Generate Chat Completions |
| generate_text_completions | POST /openai/v1/completions | Generate Text Completions |
| get_model | GET /openai/v1/models/{model_name} | Get Model |
| list_models | GET /openai/v1/models | List Models |
object embed_texts(open_ai_embeddings_request, tracking_id=tracking_id)
Embed Texts
Create embeddings based on text(s), similar to OpenAI's /v1/embeddings endpoint
- OAuth Authentication (OAuth2PasswordBearer):
- Api Key Authentication (APIKeyCookie):
import cms_client
from cms_client.models.open_ai_embeddings_request import OpenAIEmbeddingsRequest
from cms_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = cms_client.Configuration(
host = "http://localhost"
)
# 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.
configuration.access_token = os.environ["ACCESS_TOKEN"]
# Configure API key authorization: APIKeyCookie
configuration.api_key['APIKeyCookie'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKeyCookie'] = 'Bearer'
# Enter a context with an instance of the API client
with cms_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = cms_client.OperationsCompatibleWithOpenAIAPIsApi(api_client)
open_ai_embeddings_request = cms_client.OpenAIEmbeddingsRequest() # OpenAIEmbeddingsRequest |
tracking_id = 'tracking_id_example' # str | The tracking ID of the requested task (optional)
try:
# Embed Texts
api_response = api_instance.embed_texts(open_ai_embeddings_request, tracking_id=tracking_id)
print("The response of OperationsCompatibleWithOpenAIAPIsApi->embed_texts:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling OperationsCompatibleWithOpenAIAPIsApi->embed_texts: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| open_ai_embeddings_request | OpenAIEmbeddingsRequest | ||
| tracking_id | str | The tracking ID of the requested task | [optional] |
object
OAuth2PasswordBearer, APIKeyCookie
- Content-Type: application/json
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Successful Response | - |
| 422 | Validation Error | - |
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object generate_chat_completions(open_ai_chat_completions_request, ensure_full_sentences=ensure_full_sentences, chat_template=chat_template, tracking_id=tracking_id)
Generate Chat Completions
Generate chat response based on messages, similar to OpenAI's /v1/chat/completions
- OAuth Authentication (OAuth2PasswordBearer):
- Api Key Authentication (APIKeyCookie):
import cms_client
from cms_client.models.open_ai_chat_completions_request import OpenAIChatCompletionsRequest
from cms_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = cms_client.Configuration(
host = "http://localhost"
)
# 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.
configuration.access_token = os.environ["ACCESS_TOKEN"]
# Configure API key authorization: APIKeyCookie
configuration.api_key['APIKeyCookie'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKeyCookie'] = 'Bearer'
# Enter a context with an instance of the API client
with cms_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = cms_client.OperationsCompatibleWithOpenAIAPIsApi(api_client)
open_ai_chat_completions_request = cms_client.OpenAIChatCompletionsRequest() # OpenAIChatCompletionsRequest |
ensure_full_sentences = False # bool | Whether to generate full sentences only (optional) (default to False)
chat_template = 'chat_template_example' # str | Override chat template for prompt formatting (optional)
tracking_id = 'tracking_id_example' # str | The tracking ID of the requested task (optional)
try:
# Generate Chat Completions
api_response = api_instance.generate_chat_completions(open_ai_chat_completions_request, ensure_full_sentences=ensure_full_sentences, chat_template=chat_template, tracking_id=tracking_id)
print("The response of OperationsCompatibleWithOpenAIAPIsApi->generate_chat_completions:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling OperationsCompatibleWithOpenAIAPIsApi->generate_chat_completions: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| open_ai_chat_completions_request | OpenAIChatCompletionsRequest | ||
| ensure_full_sentences | bool | Whether to generate full sentences only | [optional] [default to False] |
| chat_template | str | Override chat template for prompt formatting | [optional] |
| tracking_id | str | The tracking ID of the requested task | [optional] |
object
OAuth2PasswordBearer, APIKeyCookie
- Content-Type: application/json
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Successful Response | - |
| 422 | Validation Error | - |
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object generate_text_completions(open_ai_completions_request, ensure_full_sentences=ensure_full_sentences, chat_template=chat_template, tracking_id=tracking_id)
Generate Text Completions
Generate completion based on prompt, similar to OpenAI's /v1/completions
- OAuth Authentication (OAuth2PasswordBearer):
- Api Key Authentication (APIKeyCookie):
import cms_client
from cms_client.models.open_ai_completions_request import OpenAICompletionsRequest
from cms_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = cms_client.Configuration(
host = "http://localhost"
)
# 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.
configuration.access_token = os.environ["ACCESS_TOKEN"]
# Configure API key authorization: APIKeyCookie
configuration.api_key['APIKeyCookie'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKeyCookie'] = 'Bearer'
# Enter a context with an instance of the API client
with cms_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = cms_client.OperationsCompatibleWithOpenAIAPIsApi(api_client)
open_ai_completions_request = cms_client.OpenAICompletionsRequest() # OpenAICompletionsRequest |
ensure_full_sentences = False # bool | Whether to generate full sentences only (optional) (default to False)
chat_template = 'chat_template_example' # str | Override chat template for prompt formatting (optional)
tracking_id = 'tracking_id_example' # str | The tracking ID of the requested task (optional)
try:
# Generate Text Completions
api_response = api_instance.generate_text_completions(open_ai_completions_request, ensure_full_sentences=ensure_full_sentences, chat_template=chat_template, tracking_id=tracking_id)
print("The response of OperationsCompatibleWithOpenAIAPIsApi->generate_text_completions:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling OperationsCompatibleWithOpenAIAPIsApi->generate_text_completions: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| open_ai_completions_request | OpenAICompletionsRequest | ||
| ensure_full_sentences | bool | Whether to generate full sentences only | [optional] [default to False] |
| chat_template | str | Override chat template for prompt formatting | [optional] |
| tracking_id | str | The tracking ID of the requested task | [optional] |
object
OAuth2PasswordBearer, APIKeyCookie
- Content-Type: application/json
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Successful Response | - |
| 422 | Validation Error | - |
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object get_model(model_name)
Get Model
Get a specific model, similar to OpenAI's /v1/models/{model_id} endpoint
- OAuth Authentication (OAuth2PasswordBearer):
- Api Key Authentication (APIKeyCookie):
import cms_client
from cms_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = cms_client.Configuration(
host = "http://localhost"
)
# 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.
configuration.access_token = os.environ["ACCESS_TOKEN"]
# Configure API key authorization: APIKeyCookie
configuration.api_key['APIKeyCookie'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKeyCookie'] = 'Bearer'
# Enter a context with an instance of the API client
with cms_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = cms_client.OperationsCompatibleWithOpenAIAPIsApi(api_client)
model_name = 'model_name_example' # str |
try:
# Get Model
api_response = api_instance.get_model(model_name)
print("The response of OperationsCompatibleWithOpenAIAPIsApi->get_model:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling OperationsCompatibleWithOpenAIAPIsApi->get_model: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| model_name | str |
object
OAuth2PasswordBearer, APIKeyCookie
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Successful Response | - |
| 422 | Validation Error | - |
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object list_models()
List Models
List available models, similar to OpenAI's /v1/models endpoint
- OAuth Authentication (OAuth2PasswordBearer):
- Api Key Authentication (APIKeyCookie):
import cms_client
from cms_client.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = cms_client.Configuration(
host = "http://localhost"
)
# 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.
configuration.access_token = os.environ["ACCESS_TOKEN"]
# Configure API key authorization: APIKeyCookie
configuration.api_key['APIKeyCookie'] = os.environ["API_KEY"]
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKeyCookie'] = 'Bearer'
# Enter a context with an instance of the API client
with cms_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = cms_client.OperationsCompatibleWithOpenAIAPIsApi(api_client)
try:
# List Models
api_response = api_instance.list_models()
print("The response of OperationsCompatibleWithOpenAIAPIsApi->list_models:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling OperationsCompatibleWithOpenAIAPIsApi->list_models: %s\n" % e)This endpoint does not need any parameter.
object
OAuth2PasswordBearer, APIKeyCookie
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Successful Response | - |
[Back to top] [Back to API list] [Back to Model list] [Back to README]