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 protected] |
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
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
Create embeddings
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
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. |