OpenAI (Independent Publisher) (Preview)
Connect to the OpenAI API and use the Power of GPT3, API key must be entered as "Bearer YOUR_API_KEY"
This connector is available in the following products and regions:
Service | Class | Regions |
---|---|---|
Logic Apps | Standard | All Logic Apps regions except the following: - Azure Government regions - Azure China regions - US Department of Defense (DoD) |
Power Automate | Premium | All Power Automate regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
Power Apps | Premium | All Power Apps regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
Contact | |
---|---|
Name | Robin Rosengrün |
URL | https://linktr.ee/r2power |
robin@r2power.de |
Connector Metadata | |
---|---|
Publisher | Robin Rosengrün |
Website | https://openai.com/ |
Privacy policy | https://openai.com/api/policies/terms/ |
Categories | AI |
The connector supports the following authentication types:
Default | Parameters for creating connection. | All regions | Not shareable |
Applicable: All regions
Parameters for creating connection.
This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.
Name | Type | Description | Required |
---|---|---|---|
API Key | securestring | Enter API Key as as "Bearer YOUR_API_KEY" | True |
Name | Calls | Renewal Period |
---|---|---|
API calls per connection | 100 | 60 seconds |
Chat Completion |
Use models like ChatGPT and GPT4 to hold a conversation |
Create an Image |
DallE2 creates an image from your prompt |
Embeddings |
Get a vector representation of a given input |
GPT3 Completes your prompt |
GPT3 Completes your prompt |
GPT3 Completes your prompt [DEPRECATED] |
GPT3 Completes your prompt (deprecated by OpenAI - use Completion_New) |
Use models like ChatGPT and GPT4 to hold a conversation
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
model
|
model | True | string |
The used model, choose between gpt-3.5-turbo, gpt-4 and others |
role
|
role | True | string |
The role of the author of this message. One of system, user, or assistant. |
content
|
content | True | string |
The contents of the message. |
n
|
n | integer |
How many completions to generate for each prompt |
|
temperature
|
temperature | float |
Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. Use this OR top p |
|
max tokens
|
max_tokens | integer |
One token equals roughly 4 characters of text (up to 4000 or more tokens between prompt and completion, depending on model) |
|
top p
|
top_p | float |
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. |
|
frequency penalty
|
frequency_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim. |
|
presence penalty
|
presence_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics. |
|
stop
|
stop | array of string |
Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence |
Returns
Name | Path | Type | Description |
---|---|---|---|
id
|
id | string |
id |
object
|
object | string |
object |
created
|
created | integer |
created |
choices
|
choices | array of object |
choices |
index
|
choices.index | integer |
index |
role
|
choices.message.role | string |
role |
content
|
choices.message.content | string |
content |
finish_reason
|
choices.finish_reason | string |
finish_reason |
prompt_tokens
|
usage.prompt_tokens | integer |
prompt_tokens |
completion_tokens
|
usage.completion_tokens | integer |
completion_tokens |
total_tokens
|
usage.total_tokens | integer |
total_tokens |
DallE2 creates an image from your prompt
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
prompt
|
prompt | True | string |
The prompt that describes the image |
Number of images
|
n | integer |
Number of images from 1 to 10 |
|
size
|
size | string |
The size of the generated images. 256x256, 512x512 or 1024x1024 (default: 1024x1024) |
|
format
|
response_format | string |
Get url to picture or receive it in base64 format (default: url) |
Returns
Name | Path | Type | Description |
---|---|---|---|
data
|
data | array of object |
data |
url
|
data.url | string |
URL to created Image |
b64image
|
data.b64_json | byte |
Image in base64 format |
Get a vector representation of a given input
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
model
|
model | True | string |
model |
input
|
input | True | string |
input |
Returns
Name | Path | Type | Description |
---|---|---|---|
object
|
object | string |
object |
data
|
data | array of object |
data |
object
|
data.object | string |
object |
embedding
|
data.embedding | array of float |
embedding |
index
|
data.index | integer |
index |
model
|
model | string |
model |
prompt_tokens
|
usage.prompt_tokens | integer |
prompt_tokens |
total_tokens
|
usage.total_tokens | integer |
total_tokens |
GPT3 Completes your prompt
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Engine
|
model | True | string |
The used model, choose between text-davinci-002, text-curie-001, text-babbage-001, text-ada-001 |
prompt
|
prompt | True | string |
Text that will be completed by GPT3 |
n
|
n | integer |
How many completions to generate for each prompt |
|
best_of
|
best_of | integer |
If set to more than 1, generates multiple completions server-side and returns the "best". Must be greater than "n". Use with caution, can consume a lot of tokens. |
|
temperature
|
temperature | float |
Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. Use this OR top p |
|
max tokens
|
max_tokens | integer |
One token equals roughly 4 characters of text (up to 4000 tokens between prompt and completion) |
|
top p
|
top_p | float |
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. |
|
frequency penalty
|
frequency_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim. |
|
presence penalty
|
presence_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics. |
|
stop
|
stop | array of string |
Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence |
Returns
Name | Path | Type | Description |
---|---|---|---|
id
|
id | string |
id |
object
|
object | string |
object |
created
|
created | integer |
created |
choices
|
choices | array of object |
Returned Completion(s) |
Text
|
choices.text | string |
Completion text |
Index
|
choices.index | integer |
Number of completion |
Finish reason
|
choices.finish_reason | string |
Reason why the text finished (stop condition / natural end / length) |
Prompt Tokens
|
choices.usage.prompt_tokens | integer |
Number of tokens in the prompt |
Completion Tokens
|
choices.usage.completion_tokens | integer |
Number of tokens in the completion |
Total Tokens
|
choices.usage.total_tokens | integer |
Total number of tokens in prompt and completion |
GPT3 Completes your prompt (deprecated by OpenAI - use Completion_New)
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Engine
|
engine | True | string |
The used engine, choose between text-davinci-002/003, text-curie-001, text-babbage-001, text-ada-001 |
prompt
|
prompt | True | string |
Text that will be completed by GPT3 |
n
|
n | integer |
How many completions to generate for each prompt |
|
best_of
|
best_of | integer |
If set to more than 1, generates multiple completions server-side and returns the "best". Must be greater than "n". Use with caution, can consume a lot of tokens. |
|
temperature
|
temperature | float |
Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. Use this OR top p |
|
max tokens
|
max_tokens | integer |
One token equals roughly 4 characters of text (up to 4000 tokens between prompt and completion) |
|
top p
|
top_p | float |
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. |
|
frequency penalty
|
frequency_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim. |
|
presence penalty
|
presence_penalty | float |
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics. |
|
user
|
user | string |
A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse |
|
stop
|
stop | array of string |
Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence |
Returns
Name | Path | Type | Description |
---|---|---|---|
id
|
id | string |
id |
object
|
object | string |
object |
created
|
created | integer |
created |
choices
|
choices | array of object |
Returned Completion(s) |
Text
|
choices.text | string |
Completion text |
Index
|
choices.index | integer |
Number of completion |
Logprobs
|
choices.logprobs | string |
Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens. For example, if logprobs is 3, the API will return a list of the 3 most likely tokens. |
Finish reason
|
choices.finish_reason | string |
Reason why the text finished (stop condition / natural end / length) |