Mistral (Independent Publisher) (Preview)

Mistral is open and portable generative AI for devs and businesses. Mistral models strike an unmatched latency to performance ratio, and achieve top-tier reasoning performance on all common benchmarks. Mistral designed the models to be as unbiased and useful as possible, providing full modular control over moderation.

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	Troy Taylor
URL	https://www.hitachisolutions.com
Email	ttaylor@hitachisolutions.com

Connector Metadata
Publisher	Troy Taylor
Website	https://mistral.ai/
Privacy policy	https://mistral.ai/terms#privacy-policy
Categories	AI

Creating a connection

The connector supports the following authentication types:

Default	Parameters for creating connection.	All regions	Not shareable

Default

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 (in the form 'Bearer YOUR_API_KEY')	securestring	The API Key (in the form 'Bearer YOUR_API_KEY') for this api	True

Throttling Limits

Name	Calls	Renewal Period
API calls per connection	100	60 seconds

Actions

Create chat completions	Creates a chat completion.
Create embeddings	Creates an embedding.
List available models	Retrieve a list of available models.

Create chat completions

Operation ID:

CreateChatCompletion

Creates a chat completion.

Parameters

Name	Key	Required	Type	Description
Model	model	True	string	ID of the model to use.
Role	role		string	The role.
Content	content		string	The content.
Temperature	temperature		number	What sampling temperature to use, between 0.0 and 1.0. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both.
Top P	top_p		number	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. We generally recommend altering this or temperature but not both.
Max Tokens	max_tokens		integer	The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.
Stream	stream		boolean	Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON.
Safe Prompt	safe_prompt		boolean	Whether to inject a safety prompt before all conversations.
Random Seed	random_seed		integer	The seed to use for random sampling. If set, different calls will generate deterministic results.

Returns

Body

ChatCompletionResponse

Create embeddings

Operation ID:

CreateEmbedding

Creates an embedding.

Parameters

Name	Key	Required	Type	Description
model	model		string	The ID of the model to use for this request.
Input	input		array of string	The list of strings to embed.
Encoding Format	encoding_format		string	The format of the output data.

Returns

Body

EmbeddingResponse

List available models

Operation ID:

ListModels

Retrieve a list of available models.

Returns

Body

ModelList

Definitions

ModelList

Name	Path	Type	Description
Object	object	string	The object.
data	data	array of Model

ChatCompletionResponse

Name	Path	Type	Description
ID	id	string	The identifier.
Object	object	string	The object.
Created	created	integer	The created.
Model	model	string	The model.
choices	choices	array of object
Index	choices.index	integer	The index.
Role	choices.message.role	string	The role.
Content	choices.message.content	string	The content.
Finish Reason	choices.finish_reason	string	The finish reason.
Prompt Tokens	usage.prompt_tokens	integer	The prompt tokens.
Completion Tokens	usage.completion_tokens	integer	The completion tokens.
Total Tokens	usage.total_tokens	integer	The total tokens.

EmbeddingResponse

Name	Path	Type	Description
ID	id	string	The identifier.
Object	object	string	The object.
data	data	array of object
Object	data.object	string	The object.
Embedding	data.embedding	array of double	The embedding.
Index	data.index	integer	The index.
Model	model	string	The model.
Prompt Tokens	usage.prompt_tokens	integer	The prompt tokens.
Total Tokens	usage.total_tokens	integer	The total tokens.

Model

Name	Path	Type	Description
ID	id	string	The identifier.
Object	object	string	The object.
Created	created	integer	The created.
Owned By	owned_by	string	The owned by.