This version is still in development and is not considered stable yet. For the latest snapshot version, please use Spring AI 1.0.0-SNAPSHOT!spring-doc.cn

Mistral AI offers an OpenAI API compatible endpoint as well. Check the OpenAI API compatibility section to learn how to use the Spring AI OpenAI to talk to a Mistral endponit.
Refer to the Dependency Management section to add the Spring AI BOM to your build file.
Property Description Default

spring.ai.retry.max-attemptsspring-doc.cn

Maximum number of retry attempts.spring-doc.cn

10spring-doc.cn

spring.ai.retry.backoff.initial-intervalspring-doc.cn

Initial sleep duration for the exponential backoff policy.spring-doc.cn

2 sec.spring-doc.cn

spring.ai.retry.backoff.multiplierspring-doc.cn

Backoff interval multiplier.spring-doc.cn

5spring-doc.cn

spring.ai.retry.backoff.max-intervalspring-doc.cn

Maximum backoff duration.spring-doc.cn

3 min.spring-doc.cn

spring.ai.retry.on-client-errorsspring-doc.cn

If false, throw a NonTransientAiException, and do not attempt retry for 4xx client error codesspring-doc.cn

falsespring-doc.cn

spring.ai.retry.exclude-on-http-codesspring-doc.cn

List of HTTP status codes that should not trigger a retry (e.g. to throw NonTransientAiException).spring-doc.cn

emptyspring-doc.cn

spring.ai.retry.on-http-codesspring-doc.cn

List of HTTP status codes that should trigger a retry (e.g. to throw TransientAiException).spring-doc.cn

emptyspring-doc.cn

Property Description Default

spring.ai.mistralai.base-urlspring-doc.cn

The URL to connect tospring-doc.cn

api.mistral.aispring-doc.cn

spring.ai.mistralai.api-keyspring-doc.cn

The API Keyspring-doc.cn

-spring-doc.cn

Property Description Default

spring.ai.mistralai.chat.enabledspring-doc.cn

Enable MistralAI chat model.spring-doc.cn

truespring-doc.cn

spring.ai.mistralai.chat.base-urlspring-doc.cn

Optional overrides the spring.ai.mistralai.base-url to provide chat specific urlspring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.api-keyspring-doc.cn

Optional overrides the spring.ai.mistralai.api-key to provide chat specific api-keyspring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.modelspring-doc.cn

This is the MistralAI Chat model to usespring-doc.cn

open-mistral-7b, open-mixtral-8x7b, mistral-small-latest, mistral-medium-latest, mistral-large-latestspring-doc.cn

spring.ai.mistralai.chat.options.temperaturespring-doc.cn

The sampling temperature to use that controls the apparent creativity of generated completions. Higher values will make output more random while lower values will make results more focused and deterministic. It is not recommended to modify temperature and top_p for the same completions request as the interaction of these two settings is difficult to predict.spring-doc.cn

0.8spring-doc.cn

spring.ai.mistralai.chat.options.maxTokensspring-doc.cn

The maximum number of tokens to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model’s context length.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.safePromptspring-doc.cn

Indicates whether to inject a security prompt before all conversations.spring-doc.cn

falsespring-doc.cn

spring.ai.mistralai.chat.options.randomSeedspring-doc.cn

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.stopspring-doc.cn

Stop generation if this token is detected. Or if one of these tokens is detected when providing an array.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.topPspring-doc.cn

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. We generally recommend altering this or temperature but not both.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.responseFormatspring-doc.cn

An object specifying the format that the model must output. Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.toolsspring-doc.cn

A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.toolChoicespring-doc.cn

Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via {"type: "function", "function": {"name": "my_function"}} forces the model to call that function. none is the default when no functions are present. auto is the default if functions are present.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.functionsspring-doc.cn

List of functions, identified by their names, to enable for function calling in a single prompt requests. Functions with those names must exist in the functionCallbacks registry.spring-doc.cn

-spring-doc.cn

spring.ai.mistralai.chat.options.functionCallbacksspring-doc.cn

MistralAI Tool Function Callbacks to register with the ChatModel.spring-doc.cn

-spring-doc.cn

You can override the common spring.ai.mistralai.base-url and spring.ai.mistralai.api-key for the ChatModel and EmbeddingModel implementations. The spring.ai.mistralai.chat.base-url and spring.ai.mistralai.chat.api-key properties if set take precedence over the common properties. This is useful if you want to use different MistralAI accounts for different models and different model endpoints.
All properties prefixed with spring.ai.mistralai.chat.options can be overridden at runtime by adding a request specific Runtime Options to the Prompt call.
In addition to the model specific MistralAiChatOptions you can use a portable ChatOptions instance, created with the ChatOptionsBuilder#builder().
replace the api-key with your OpenAI credentials.
Refer to the Dependency Management section to add the Spring AI BOM to your build file.