Add Mistral AI Chat Completion support to Inference Plugin #128538

Jan-Kazlouski-elastic · 2025-05-27T22:21:12Z

Change to existing Mistral AI provider integration allowing completion (both streaming and non-streaming) and chat_completion (only streaming) to be executed as part of inference API.
Changes were tested against next models:

mistral-large-latest
mistral-small-latest

Notes:

Mistral returns at least 5 different formats of non-streaming errors. While in their documentation only 1 type is mentioned. However MistralErrorEntity handles error formats for 4 most common errors: Unauthorized, Bad Request, Not Found, Unprocessable Entity.
Format of streaming errors is not defined in Mistral documentation and wasn't received during testing. Assuming mid stream errors follow Open AI format.
Changes were made to common OpenAI Response Handler allowing it to handle more error codes. That might affect behavior for other providers, but it is better solution than having duplication.
Mistral AI doesn't recognize "stream_options" field despite it being present in OpenAI schema. I added provider-based solution to not include it for Mistral.
Task settings not being passed as parameters but not being used is already present solution that might need improvement, e.g. not passing it as parameter.

Examples of RQ/RS from local testing:

Create Completion Endpoint

Success:

RQ:
PUT {{base-url}}/_inference/completion/mistral-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "inference_id": "mistral-completion",
    "task_type": "completion",
    "service": "mistral",
    "service_settings": {
        "model": "mistral-small-latest",
        "rate_limit": {
            "requests_per_minute": 240
        }
    }
}

Unauthorized:

RQ:
PUT {{base-url}}/_inference/completion/mistral-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{invalid-mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Received an authentication error status code for request from inference entity id [mistral-completion] status [401]. Error message: [Unauthorized]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Received an authentication error status code for request from inference entity id [mistral-completion] status [401]. Error message: [Unauthorized]"
        }
    },
    "status": 400
}

Not Found:

RQ:
PUT {{base-url}}/_inference/completion/mistral-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"
        }
    },
    "status": 400
}

Invalid Model:

RQ:
PUT {{base-url}}/_inference/completion/mistral-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "wrong-model-name"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Received a bad request status code for request from inference entity id [mistral-completion] status [400]. Error message: [Invalid model: wrong-model-name]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Received a bad request status code for request from inference entity id [mistral-completion] status [400]. Error message: [Invalid model: wrong-model-name]"
        }
    },
    "status": 400
}

Perform Non-Streaming Completion

Success:

RQ:
POST {{base-url}}/_inference/completion/mistral-completion
{
    "input": "The sky above the port was the color of television tuned to a dead channel."
}
RS:
{
    "completion": [
        {
            "result": "The sentence you've provided is the opening line of William Gibson's seminal cyberpunk novel *Neuromancer*. This vivid and evocative description sets the tone for the dystopian, high-tech, low-life world that the novel explores. The imagery of a \"dead channel\" on a television screen suggests a sense of emptiness, static, and the absence of clear signals or information, which can be seen as a metaphor for the fragmented and often chaotic nature of the future Gibson envisions.\n\nThe use of such a striking opening line is characteristic of Gibson's style, which often blends technological and cultural references to create a rich, immersive atmosphere. *Neuromancer* is known for its influence on the cyberpunk genre and its prescient exploration of themes related to artificial intelligence, virtual reality, and the digital age."
        }
    ]
}

Not Found:

RQ:
POST {{base-url}}/_inference/completion/mistral-completion
{
    "input": "The sky above the port was the color of television tuned to a dead channel."
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"
            }
        ],
        "type": "status_exception",
        "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"
    },
    "status": 404
}

Perform Streaming Completion

Success:

RQ:
POST {{base-url}}/_inference/completion/mistral-completion/_stream
{
    "input": "The sky above the port was the color of television tuned to a dead channel."
}
RS:
event: message
data: {"completion":[{"delta":"The"}]}

event: message
data: {"completion":[{"delta":" sentence"},{"delta":" you"}]}

event: message
data: {"completion":[{"delta":"'ve"}]}

event: message
data: {"completion":[{"delta":" provided"}]}

event: message
data: {"completion":[{"delta":" is"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" opening"}]}

event: message
data: {"completion":[{"delta":" line"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" William"}]}

event: message
data: {"completion":[{"delta":" Gibson"}]}

event: message
data: {"completion":[{"delta":"'s"}]}

event: message
data: {"completion":[{"delta":" seminal"}]}

event: message
data: {"completion":[{"delta":" cyber"}]}

event: message
data: {"completion":[{"delta":"punk"}]}

event: message
data: {"completion":[{"delta":" novel"}]}

event: message
data: {"completion":[{"delta":" *"}]}

event: message
data: {"completion":[{"delta":"Ne"}]}

event: message
data: {"completion":[{"delta":"u"}]}

event: message
data: {"completion":[{"delta":"rom"}]}

event: message
data: {"completion":[{"delta":"ancer"}]}

event: message
data: {"completion":[{"delta":"*."}]}

event: message
data: {"completion":[{"delta":" This"}]}

event: message
data: {"completion":[{"delta":" vivid"}]}

event: message
data: {"completion":[{"delta":" and"}]}

event: message
data: {"completion":[{"delta":" evoc"}]}

event: message
data: {"completion":[{"delta":"ative"}]}

event: message
data: {"completion":[{"delta":" description"}]}

event: message
data: {"completion":[{"delta":" sets"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" tone"}]}

event: message
data: {"completion":[{"delta":" for"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" dyst"}]}

event: message
data: {"completion":[{"delta":"op"}]}

event: message
data: {"completion":[{"delta":"ian"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" high"}]}

event: message
data: {"completion":[{"delta":"-tech"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" low"}]}

event: message
data: {"completion":[{"delta":"-life"}]}

event: message
data: {"completion":[{"delta":" world"}]}

event: message
data: {"completion":[{"delta":" that"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" novel"}]}

event: message
data: {"completion":[{"delta":" explores"}]}

event: message
data: {"completion":[{"delta":"."}]}

event: message
data: {"completion":[{"delta":" The"}]}

event: message
data: {"completion":[{"delta":" imagery"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" \""}]}

event: message
data: {"completion":[{"delta":"dead"}]}

event: message
data: {"completion":[{"delta":" channel"}]}

event: message
data: {"completion":[{"delta":"\""}]}

event: message
data: {"completion":[{"delta":" on"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" television"}]}

event: message
data: {"completion":[{"delta":" screen"}]}

event: message
data: {"completion":[{"delta":" suggests"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" sense"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" empt"}]}

event: message
data: {"completion":[{"delta":"iness"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" static"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" and"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" absence"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" clear"}]}

event: message
data: {"completion":[{"delta":" signals"}]}

event: message
data: {"completion":[{"delta":" or"}]}

event: message
data: {"completion":[{"delta":" information"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" which"}]}

event: message
data: {"completion":[{"delta":" can"}]}

event: message
data: {"completion":[{"delta":" be"}]}

event: message
data: {"completion":[{"delta":" seen"}]}

event: message
data: {"completion":[{"delta":" as"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" metaphor"}]}

event: message
data: {"completion":[{"delta":" for"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" fragmented"}]}

event: message
data: {"completion":[{"delta":" and"}]}

event: message
data: {"completion":[{"delta":" often"}]}

event: message
data: {"completion":[{"delta":" confusing"},{"delta":" reality"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" characters"}]}

event: message
data: {"completion":[{"delta":" in"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" story"}]}

event: message
data: {"completion":[{"delta":".\n\n"}]}

event: message
data: {"completion":[{"delta":"Gib"}]}

event: message
data: {"completion":[{"delta":"son"}]}

event: message
data: {"completion":[{"delta":"'s"}]}

event: message
data: {"completion":[{"delta":" use"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" such"}]}

event: message
data: {"completion":[{"delta":" imagery"}]}

event: message
data: {"completion":[{"delta":" is"}]}

event: message
data: {"completion":[{"delta":" characteristic"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" cyber"}]}

event: message
data: {"completion":[{"delta":"punk"}]}

event: message
data: {"completion":[{"delta":" genre"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" which"}]}

event: message
data: {"completion":[{"delta":" often"}]}

event: message
data: {"completion":[{"delta":" blends"}]}

event: message
data: {"completion":[{"delta":" advanced"}]}

event: message
data: {"completion":[{"delta":" technology"}]}

event: message
data: {"completion":[{"delta":" with"}]}

event: message
data: {"completion":[{"delta":" social"}]}

event: message
data: {"completion":[{"delta":" decay"}]}

event: message
data: {"completion":[{"delta":" and"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" sense"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" alien"}]}

event: message
data: {"completion":[{"delta":"ation"}]}

event: message
data: {"completion":[{"delta":"."}]}

event: message
data: {"completion":[{"delta":" The"}]}

event: message
data: {"completion":[{"delta":" \""}]}

event: message
data: {"completion":[{"delta":"port"}]}

event: message
data: {"completion":[{"delta":"\""}]}

event: message
data: {"completion":[{"delta":" mentioned"}]}

event: message
data: {"completion":[{"delta":" could"}]}

event: message
data: {"completion":[{"delta":" refer"}]}

event: message
data: {"completion":[{"delta":" to"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" space"}]}

event: message
data: {"completion":[{"delta":"port"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" se"}]}

event: message
data: {"completion":[{"delta":"aport"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" or"}]}

event: message
data: {"completion":[{"delta":" even"}]}

event: message
data: {"completion":[{"delta":" a"}]}

event: message
data: {"completion":[{"delta":" data"}]}

event: message
data: {"completion":[{"delta":" port"}]}

event: message
data: {"completion":[{"delta":","}]}

event: message
data: {"completion":[{"delta":" adding"}]}

event: message
data: {"completion":[{"delta":" to"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" ambiguity"}]}

event: message
data: {"completion":[{"delta":" and"}]}

event: message
data: {"completion":[{"delta":" futur"}]}

event: message
data: {"completion":[{"delta":"istic"}]}

event: message
data: {"completion":[{"delta":" feel"}]}

event: message
data: {"completion":[{"delta":" of"}]}

event: message
data: {"completion":[{"delta":" the"}]}

event: message
data: {"completion":[{"delta":" setting"}]}

event: message
data: {"completion":[{"delta":"."}]}

event: message
data: [DONE]

Not Found:

RQ:
POST {{base-url}}/_inference/completion/mistral-completion/_stream
{
    "input": "The sky above the port was the color of television tuned to a dead channel."
}
RS:
event: error
data: {"error":{"root_cause":[{"type":"status_exception","reason":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"}],"type":"status_exception","reason":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [Not Found]"},"status":404}

Create Chat Completion Endpoint

Success:

RQ:
PUT {{base-url}}/_inference/chat_completion/mistral-chat-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "inference_id": "mistral-chat-completion",
    "task_type": "chat_completion",
    "service": "mistral",
    "service_settings": {
        "model": "mistral-small-latest",
        "rate_limit": {
            "requests_per_minute": 240
        }
    }
}

Unauthorized:

RQ:
PUT {{base-url}}/_inference/chat_completion/mistral-chat-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{invalid-mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Received an authentication error status code for request from inference entity id [mistral-chat-completion] status [401]. Error message: [Unauthorized]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Received an authentication error status code for request from inference entity id [mistral-chat-completion] status [401]. Error message: [Unauthorized]"
        }
    },
    "status": 400
}

Not Found:

RQ:
PUT {{base-url}}/_inference/chat_completion/mistral-chat-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "mistral-small-latest"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [Not Found]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [Not Found]"
        }
    },
    "status": 400
}

Invalid Model:

RQ:
PUT {{base-url}}/_inference/chat_completion/mistral-chat-completion
{
    "service": "mistral",
    "service_settings": {
        "api_key": "{{mistral-api-key}}",
        "model": "invalid-model-name"
    }
}
RS:
{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [Invalid model: invalid-model-name]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [Invalid model: invalid-model-name]"
        }
    },
    "status": 400
}

Perform Streaming Chat Completion

Success:

RQ:
POST {{base-url}}/_inference/chat_completion/mistral-chat-completion/_stream
{
    "model": "mistral-small-latest",
    "messages": [
        {
            "role": "user",
            "content": "What is deep learning?"
        }
    ],
    "max_completion_tokens": 2
}
RS:
event: message
data: {"id":"c79e758e9d1a4e89866c9165701496f2","choices":[{"delta":{"content":"","role":"assistant"},"index":0}],"model":"mistral-small-latest","object":"chat.completion.chunk"}

event: message
data: {"id":"c79e758e9d1a4e89866c9165701496f2","choices":[{"delta":{"content":"Deep"},"index":0}],"model":"mistral-small-latest","object":"chat.completion.chunk"}

event: message
data: {"id":"c79e758e9d1a4e89866c9165701496f2","choices":[{"delta":{"content":" learning"},"finish_reason":"length","index":0}],"model":"mistral-small-latest","object":"chat.completion.chunk","usage":{"completion_tokens":2,"prompt_tokens":8,"total_tokens":10}}

event: message
data: [DONE]

Invalid Model:

RQ:
POST {{base-url}}/_inference/chat_completion/mistral-chat-completion/_stream
{
    "model": "invalid-model-name",
    "messages": [
        {
            "role": "user",
            "content": "What is deep learning?"
        }
    ],
    "max_completion_tokens": 2
}
RS:
event: error
data: {"error":{"code":"bad_request","message":"Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [Invalid model: invalid-model-name]","type":"mistral_error"}}

Negative Max Tokens:
RQ:
POST {{base-url}}/_inference/chat_completion/mistral-chat-completion/_stream
{
    "model": "mistral-small-latest",
    "messages": [
        {
            "role": "user",
            "content": "What is deep learning?"
        }
    ],
    "max_completion_tokens": -1
}
RS:
event: error
data: {"error":{"code":"unprocessable_entity","message":"Received an input validation error response for request from inference entity id [mistral-chat-completion] status [422]. Error message: [Input should be greater than or equal to 0]","type":"mistral_error"}}

Not Found:

RQ:
POST {{base-url}}/_inference/chat_completion/mistral-chat-completion/_stream
{
    "model": "mistral-small-latest",
    "messages": [
        {
            "role": "user",
            "content": "What is deep learning?"
        }
    ],
    "max_completion_tokens": 2
}
RS:
event: error
data: {"error":{"code":"not_found","message":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [Not Found]","type":"mistral_error"}}

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jonathan-buttner

Looking good. I left a few suggestions.

Could you update the description of the PR so that the example requests are formatted?

Let's also wrap them in code blocks using the three backticks. Thanks for making them collapsable sections though!

jonathan-buttner · 2025-05-29T15:06:00Z

...a/org/elasticsearch/xpack/inference/external/unified/UnifiedChatCompletionRequestEntity.java

-            builder.startObject(STREAM_OPTIONS_FIELD);
-            builder.field(INCLUDE_USAGE_FIELD, true);
-            builder.endObject();
+            fillStreamOptionsFields(builder);


Just an FYI we have some inflight changes that'll affect how we do this: #128592

Thank you for the heads up! I inspected the changes in the attached PR. They don't affect my changes. We're good.

Sorry what I meant is that we can use the same approach here. Let's leverage the Params class to determine whether to serialize the stream options, the same way that the PR I listed is doing. That way we don't need to subclass.

docs/changelog/128538.yaml

...ference/src/main/java/org/elasticsearch/xpack/inference/services/mistral/MistralService.java

.../org/elasticsearch/xpack/inference/services/mistral/response/MistralErrorResponseEntity.java

...e/src/main/java/org/elasticsearch/xpack/inference/services/openai/OpenAiResponseHandler.java

jonathan-buttner · 2025-05-29T16:25:32Z

.../org/elasticsearch/xpack/inference/services/openai/MistralChatCompletionResponseHandler.java

+import org.elasticsearch.xpack.inference.services.mistral.response.MistralErrorResponseEntity;
+
+/**
+ * Handles non-streaming chat completion responses for Mistral models, extending the OpenAI chat completion response handler.


Suggested change

* Handles non-streaming chat completion responses for Mistral models, extending the OpenAI chat completion response handler.

* Handles non-streaming completion responses for Mistral models, extending the OpenAI chat completion response handler.

Fixed. Thanks.

...va/org/elasticsearch/xpack/inference/services/mistral/embeddings/MistralEmbeddingsModel.java

.../org/elasticsearch/xpack/inference/services/openai/MistralChatCompletionResponseHandler.java

jonathan-buttner · 2025-05-29T16:37:07Z

...sticsearch/xpack/inference/services/mistral/MistralUnifiedChatCompletionResponseHandler.java

@@ -0,0 +1,51 @@
+/*


@prwhelan any suggestions on how to intentionally encounter a midstream error while testing?

To followup, I don't think we have a great way to test this.

@Jan-Kazlouski-elastic can you try initiating a streaming request and disable your internet (or some sort of similar failure) in the middle of the response being streamed

I’ve tried this several times and consistently received read ECONNRESET errors, these are client-side errors coming from Postman, not server-side ones. By shutting off the client’s internet, we’re preventing it from receiving any further stream data, including both the remaining valid chunks and any potential error payload.
If Mistral does construct an error response, it would still need to reach the client, but in this case, the client is no longer able to receive anything.
All errors returned by Mistral so far are strictly non-streaming. The only scenario where Mistral might return an error midstream would be due to a genuine server-side malfunction on their part. Or a rate limit, but testing it would be too expensive and even then, the error would probably be non-streaming.

Maybe we could contact Mistral to clarify that?

Maybe we could contact Mistral to clarify that?

Yeah let's bring this up at the next meeting and see if we can get Serena to follow up.

jonathan-buttner · 2025-05-29T17:06:58Z

...sticsearch/xpack/inference/services/mistral/MistralUnifiedChatCompletionResponseHandler.java

+ * Handles streaming chat completion responses and error parsing for Mistral inference endpoints.
+ * Adapts the OpenAI handler to support Mistral's simpler error schema with fields like "message" and "http_status_code".
+ */
+public class MistralUnifiedChatCompletionResponseHandler extends OpenAiUnifiedChatCompletionResponseHandler {


If the midstream errors are in the same format as openai, how about we refactor the OpenAiUnifiedChatCompletionResponseHandler so that we can replace some of the strings that reference openai specifically? I think it's just the name of the parser:

elasticsearch/x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/openai/OpenAiUnifiedChatCompletionResponseHandler.java

Lines 115 to 120 in 2830768

"open_ai_error",

true,

args -> Optional.ofNullable((OpenAiErrorResponse) args[0])

);

private static final ConstructingObjectParser<OpenAiErrorResponse, Void> ERROR_BODY_PARSER = new ConstructingObjectParser<>(

"open_ai_error",

Maybe we could extract those classes and rename them to be more generic?

Done.
But we're not positive that midstream errors are in the same format as openai. It just assumed of the fact that Mistral uses OpenAI type API

…mistral-chat-completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

…sponse entity

Jan-Kazlouski-elastic · 2025-05-29T21:34:40Z

Hi @jonathan-buttner
I addressed the comments. All fixes are done. I replied to the one comment related to the OpenAI handlers hierarchy #128538 (comment) to discuss it a bit further.

Also I updated the section related to testing. Three backticks didn't work for me when I was creating initial PR comment, but when I applied them afterwards - worked perfectly. Not sure why, but I will remember for the future PR creation.

Jan-Kazlouski-elastic · 2025-05-29T22:04:19Z

New error format:

Create Completion Endpoint

Not Found:

{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
        }
    },
    "status": 400
}

Unauthorized:

{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Received an authentication error status code for request from inference entity id [mistral-completion] status [401]. Error message: [{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"a580d263fb1521778782b22104efb415\"\n}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Received an authentication error status code for request from inference entity id [mistral-completion] status [401]. Error message: [{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"a580d263fb1521778782b22104efb415\"\n}]"
        }
    },
    "status": 400
}

Invalid Model:

{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Received a bad request status code for request from inference entity id [mistral-completion] status [400]. Error message: [{\"object\":\"error\",\"message\":\"Invalid model: wrong-model-name\",\"type\":\"invalid_model\",\"param\":null,\"code\":\"1500\"}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "status_exception",
            "reason": "Received a bad request status code for request from inference entity id [mistral-completion] status [400]. Error message: [{\"object\":\"error\",\"message\":\"Invalid model: wrong-model-name\",\"type\":\"invalid_model\",\"param\":null,\"code\":\"1500\"}]"
        }
    },
    "status": 400
}

Perform Non-Streaming Completion

Not Found:

{
    "error": {
        "root_cause": [
            {
                "type": "status_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
            }
        ],
        "type": "status_exception",
        "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
    },
    "status": 404
}

Perform Streaming Completion

Not Found:

event: error
data: {"error":{"root_cause":[{"type":"status_exception","reason":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"}],"type":"status_exception","reason":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"},"status":404}

Create Chat Completion Endpoint

Not Found:

{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]"
        }
    },
    "status": 400
}

Unauthorized:

{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Received an authentication error status code for request from inference entity id [mistral-chat-completion] status [401]. Error message: [{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"409ddf538d3f1a55bfe4b7324fe01676\"\n}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Received an authentication error status code for request from inference entity id [mistral-chat-completion] status [401]. Error message: [{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"409ddf538d3f1a55bfe4b7324fe01676\"\n}]"
        }
    },
    "status": 400
}

Invalid Model:

{
    "error": {
        "root_cause": [
            {
                "type": "unified_chat_completion_exception",
                "reason": "Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [{\"object\":\"error\",\"message\":\"Invalid model: invalid-model-name\",\"type\":\"invalid_model\",\"param\":null,\"code\":\"1500\"}]"
            }
        ],
        "type": "status_exception",
        "reason": "Could not complete inference endpoint creation as validation call to service threw an exception.",
        "caused_by": {
            "type": "unified_chat_completion_exception",
            "reason": "Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [{\"object\":\"error\",\"message\":\"Invalid model: invalid-model-name\",\"type\":\"invalid_model\",\"param\":null,\"code\":\"1500\"}]"
        }
    },
    "status": 400
}

Perform Streaming Chat Completion

Not Found:

event: error
data: {"error":{"code":"not_found","message":"Resource not found at [https://api.mistral.ai/v1/chat/completions] for request from inference entity id [mistral-chat-completion] status [404]. Error message: [{\"detail\":\"Not Found\"}]","type":"mistral_error"}}

Negative Max Tokens:

event: error
data: {"error":{"code":"unprocessable_entity","message":"Received an input validation error response for request from inference entity id [mistral-chat-completion] status [422]. Error message: [Input should be greater than or equal to 0]","type":"mistral_error"}}

Invalid Model:

event: error
data: {"error":{"code":"bad_request","message":"Received a bad request status code for request from inference entity id [mistral-chat-completion] status [400]. Error message: [{\"object\":\"error\",\"message\":\"Invalid model: invalid-model-name\",\"type\":\"invalid_model\",\"param\":null,\"code\":\"1500\"}]","type":"mistral_error"}}

jonathan-buttner

Thanks for the changes, left a few suggestions.

jonathan-buttner · 2025-05-30T12:56:18Z

...a/org/elasticsearch/xpack/inference/external/unified/UnifiedChatCompletionRequestEntity.java

-            builder.startObject(STREAM_OPTIONS_FIELD);
-            builder.field(INCLUDE_USAGE_FIELD, true);
-            builder.endObject();
+            fillStreamOptionsFields(builder);


Sorry what I meant is that we can use the same approach here. Let's leverage the Params class to determine whether to serialize the stream options, the same way that the PR I listed is doing. That way we don't need to subclass.

jonathan-buttner · 2025-05-30T12:59:38Z

...search/xpack/inference/services/mistral/completion/MistralChatCompletionServiceSettings.java

+        if (this == o) return true;
+        if (o == null || getClass() != o.getClass()) return false;
+        MistralChatCompletionServiceSettings that = (MistralChatCompletionServiceSettings) o;
+        return Objects.equals(modelId, that.modelId);


I think we need to include rateLimitSettings here

Missed that. Thank you. Fixed.

jonathan-buttner · 2025-05-30T12:59:46Z

...search/xpack/inference/services/mistral/completion/MistralChatCompletionServiceSettings.java

+
+    @Override
+    public int hashCode() {
+        return Objects.hash(modelId);


I think we need to include rateLimitSettings here

Missed that. Thank you. Fixed.

...e/src/main/java/org/elasticsearch/xpack/inference/services/openai/OpenAiResponseHandler.java

jonathan-buttner · 2025-05-30T14:06:51Z

...sticsearch/xpack/inference/services/mistral/MistralUnifiedChatCompletionResponseHandler.java

+    }
+
+    @Override
+    protected Exception buildError(String message, Request request, HttpResult result, ErrorResponse errorResponse) {


I believe this block is nearly identical for Hugging Face, Mistral, and OpenAI. Could you take a shot at refactoring it to remove the duplication? Maybe we can lift the instanceof check out and somehow pass in the MISTRAL_ERROR type field as it seems like those are the unique parts.

Could we do that in a separate PR?

Will do that in separate PR and share the link here.

Sharing the PR:
#128923

jonathan-buttner · 2025-05-30T14:14:55Z

...va/org/elasticsearch/xpack/inference/external/response/streaming/StreamingErrorResponse.java

+import java.util.Objects;
+import java.util.Optional;
+
+public class StreamingErrorResponse extends ErrorResponse {


Can you add a comment with an example error message that this would parse? Let's also add a TODO to note that ErrorMessageResponseEntity https://github.com/elastic/elasticsearch/blob/main/x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/external/response/ErrorMessageResponseEntity.java is nearly identical (doesn't parse as many fields) and we should remove the duplication

jonathan-buttner · 2025-05-30T14:30:08Z

.../xpack/inference/services/mistral/request/completion/MistralChatCompletionRequestEntity.java

+
+    public MistralChatCompletionRequestEntity(UnifiedChatInput unifiedChatInput, MistralChatCompletionModel model) {
+        this.unifiedChatInput = Objects.requireNonNull(unifiedChatInput);
+        this.unifiedRequestEntity = new MistralUnifiedChatCompletionRequestEntity(unifiedChatInput);


Can we adjust this class to follow how we're doing it for openai now: https://github.com/elastic/elasticsearch/blob/main/x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/openai/request/OpenAiUnifiedChatCompletionRequestEntity.java

jonathan-buttner · 2025-05-30T14:31:27Z

...n/java/org/elasticsearch/xpack/inference/services/mistral/response/MistralErrorResponse.java

+
+import java.nio.charset.StandardCharsets;
+
+/**


Can you add a few examples of what the error format looks like, or maybe just add them as tests. If you go the test route, just add a comment saying look at the tests for the expected error formats that we're aware of.

Did the change. I also removed the unifiedChatInput for Mistral. While for OpenAI it was left unused along with other fields:

private static final String MODEL_FIELD = "model"; private static final String MAX_COMPLETION_TOKENS_FIELD = "max_completion_tokens"; private final UnifiedChatInput unifiedChatInput;

I know that refactoring is heavily discouraged by CONTRIBUTING.md, but perhaps I could clean it up for OpenAI as well? Seems like a pretty easy fix.

Thanks!

I know that refactoring is heavily discouraged by CONTRIBUTING.md, but perhaps I could clean it up for OpenAI as well? Seems like a pretty easy fix.

Yeah feel free to remove those unused variables. I think that improves the quality of the code. If it's small changes like you mentioned, I think it's fine. In future PRs if you encounter this situation, I would just leave a github review comment saying that these variables weren't used so removing, or something like that to make it clear to the reviewing why they're being removed.

Fix for OpenAI refactoring is delivered!
BTW I meant to discuss this in thread for MistralRequestEntity. Misclicked.

…se structure

…stream options parameter

…tings in equality checks

…seHandler

…completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

…completion-integration

jonathan-buttner

Looks good! Left a few suggestions. I think this PR is in a good spot, just ping me when you have the other PR for the refactoring finished so we can merge that one first.

jonathan-buttner · 2025-06-02T14:31:15Z

...a/org/elasticsearch/xpack/inference/external/unified/UnifiedChatCompletionRequestEntity.java

-        if (stream) {
-            fillStreamOptionsFields(builder);
+        // If request is streamed and skip stream options parameter is not true, include stream options in the request.
+        if (stream == true && params.paramAsBoolean(SKIP_STREAM_OPTIONS_PARAM, false) == false) {


nit: How about we reverse the naming, skip and false seems closer to a double negative to me so maybe:

if (stream && params.paramAsBoolean(INCLUDE_STREAM_OPTIONS_PARAM, true) == true) {

Good thinking. Defaulting boolean to true allows us not to fill it out for every other provider. Took another look at the CONTRIBUTING.md. According to it we should use == check for boolean values only in case we're checking for "false". So I replaced it with:
stream && params.paramAsBoolean(INCLUDE_STREAM_OPTIONS_PARAM, true)
Also extended the javadoc for INCLUDE_STREAM_OPTIONS_PARAM

jonathan-buttner · 2025-06-02T14:52:39Z

...k/inference/services/mistral/request/completion/MistralChatCompletionRequestEntityTests.java

+import java.io.IOException;
+import java.util.ArrayList;
+
+import static org.elasticsearch.xpack.inference.Utils.assertJsonEquals;


Where possible let's switch to using XContentHelper.stripWhitespace

jonathan-buttner · 2025-06-02T14:57:05Z

...n/java/org/elasticsearch/xpack/inference/services/mistral/response/MistralErrorResponse.java

+
+import java.nio.charset.StandardCharsets;
+
+/**


Thanks!

I know that refactoring is heavily discouraged by CONTRIBUTING.md, but perhaps I could clean it up for OpenAI as well? Seems like a pretty easy fix.

Yeah feel free to remove those unused variables. I think that improves the quality of the code. If it's small changes like you mentioned, I think it's fine. In future PRs if you encounter this situation, I would just leave a github review comment saying that these variables weren't used so removing, or something like that to make it clear to the reviewing why they're being removed.

…elds and streamline constructor

…est to rename and update stream options parameter

…rtion and remove unused imports

…idate error handling

elasticsearchmachine · 2025-06-04T09:23:27Z

Pinging @elastic/ml-core (Team:ML)

…completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

jonathan-buttner · 2025-06-04T15:50:25Z

Looking good, looks like CI is failing with:


REPRODUCE WITH: ./gradlew ":x-pack:plugin:inference:qa:inference-service-tests:javaRestTest" --tests "org.elasticsearch.xpack.inference.InferenceGetServicesIT.testGetServicesWithCompletionTaskType" -Dtests.seed=FB54236D6191C4C3 -Dtests.locale=dz-Tibt-BT -Dtests.timezone=America/Nassau -Druntime.java=24
--
  |  
  | InferenceGetServicesIT > testGetServicesWithCompletionTaskType FAILED
  | java.lang.AssertionError:
  | Expected: <13>
  | but: was <14>
  | at __randomizedtesting.SeedInfo.seed([FB54236D6191C4C3:78524A5E8D7A2437]:0)
  | at org.hamcrest.MatcherAssert.assertThat(MatcherAssert.java:20)
  | at org.hamcrest.MatcherAssert.assertThat(MatcherAssert.java:6)
  | at org.elasticsearch.test.ESTestCase.assertThat(ESTestCase.java:2653)
  | at org.elasticsearch.xpack.inference.InferenceGetServicesIT.testGetServicesWithCompletionTaskType(InferenceGetServicesIT.java:137)

jonathan-buttner

Thanks for the changes! I did some testing and it looks good.

…completion-integration

elasticsearchmachine · 2025-06-04T17:44:49Z

💔 Backport failed

Status	Branch	Result
❌	8.19	Commit could not be cherrypicked due to conflicts

You can use sqren/backport to manually backport by running backport --upstream elastic/elasticsearch --pr 128538

Jan-Kazlouski-elastic · 2025-06-05T06:19:30Z

💚 All backports created successfully

Status	Branch	Result
✅	8.19

Questions ?

Please refer to the Backport tool documentation

…28538) (#128947) * Change versions for Mistral Chat Completion version * Refactor model handling in MistralService to use instanceof for cleaner code * Update Mistral Chat Completion 8.19 Version

Add Mistral AI Chat Completion support to Inference Plugin

f7dc246

elasticsearchmachine added v9.1.0 external-contributor Pull request authored by a developer outside the Elasticsearch team labels May 27, 2025

Jan-Kazlouski-elastic added 2 commits May 28, 2025 01:40

Add changelog file

0aa8da8

Fix tests and typos

c3a8716

jonathan-buttner requested changes May 29, 2025

View reviewed changes

Jan-Kazlouski-elastic added 3 commits May 29, 2025 20:45

Merge remote-tracking branch 'refs/remotes/origin/main' into feature/…

69f16b3

…mistral-chat-completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

Refactor Mistral chat completion integration and add tests

91f8ccf

Refactor Mistral error response handling and extract StreamingErrorRe…

ff81e36

…sponse entity

Jan-Kazlouski-elastic requested a review from jonathan-buttner May 30, 2025 08:27

Add Mistral chat completion request and response tests

5a9ce48

jonathan-buttner requested changes May 30, 2025

View reviewed changes

Jan-Kazlouski-elastic added 6 commits June 2, 2025 02:44

Enhance error response documentation and clarify StreamingErrorRespon…

17dead3

…se structure

Refactor Mistral chat completion request handling and introduce skip …

74b3df6

…stream options parameter

Refactor MistralChatCompletionServiceSettings to include rateLimitSet…

d50bc76

…tings in equality checks

Enhance MistralErrorResponse documentation with detailed error examples

4824f12

Add comment for Mistral-specific 422 validation error in OpenAiRespon…

158622e

…seHandler

Merge remote-tracking branch 'origin/main' into feature/mistral-chat-…

60df2f7

…completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

Jan-Kazlouski-elastic marked this pull request as ready for review June 2, 2025 00:01

elasticsearchmachine added the needs:triage Requires assignment of a team area label label Jun 2, 2025

elasticsearchmachine and others added 2 commits June 2, 2025 00:07

[CI] Auto commit changes from spotless

34ca847

Merge remote-tracking branch 'origin/main' into feature/mistral-chat-…

cc13241

…completion-integration

jonathan-buttner reviewed Jun 2, 2025

View reviewed changes

Jan-Kazlouski-elastic added 4 commits June 2, 2025 19:38

Refactor OpenAiUnifiedChatCompletionRequestEntity to remove unused fi…

24c52e8

…elds and streamline constructor

Refactor UnifiedChatCompletionRequestEntity and UnifiedCompletionRequ…

f184fc7

…est to rename and update stream options parameter

Refactor MistralChatCompletionRequestEntityTests to improve JSON asse…

5cc7402

…rtion and remove unused imports

Add unit tests for MistralUnifiedChatCompletionResponseHandler to val…

977bfc4

…idate error handling

nielsbauman removed the needs:triage Requires assignment of a team area label label Jun 4, 2025

nielsbauman added :ml Machine learning Team:ML Meta label for the ML team labels Jun 4, 2025

Jan-Kazlouski-elastic added 2 commits June 4, 2025 15:33

Add unit tests for MistralService

f49fac2

Merge remote-tracking branch 'origin/main' into feature/mistral-chat-…

7505915

…completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

Jan-Kazlouski-elastic requested a review from jonathan-buttner June 4, 2025 12:39

jonathan-buttner self-assigned this Jun 4, 2025

jonathan-buttner added v8.19.0 auto-backport Automatically create backport pull requests when merged >enhancement labels Jun 4, 2025

Merge remote-tracking branch 'origin/main' into feature/mistral-chat-…

fb2be46

…completion-integration # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java

jonathan-buttner approved these changes Jun 4, 2025

View reviewed changes

Jan-Kazlouski-elastic added 2 commits June 4, 2025 19:07

Update expected service count in testGetServicesWithCompletionTaskType

68a5432

Merge remote-tracking branch 'origin/main' into feature/mistral-chat-…

102da20

…completion-integration

jonathan-buttner merged commit 767d53f into elastic:main Jun 4, 2025
19 of 20 checks passed

elasticsearchmachine added the backport pending label Jun 4, 2025

Jan-Kazlouski-elastic mentioned this pull request Jun 4, 2025

Refactor response handlers to improve error handling and streamline mid-stream error processing #128923

Open

6 tasks

	* Handles non-streaming chat completion responses for Mistral models, extending the OpenAI chat completion response handler.
	* Handles non-streaming completion responses for Mistral models, extending the OpenAI chat completion response handler.

	"open_ai_error",
	true,
	args -> Optional.ofNullable((OpenAiErrorResponse) args[0])
	);
	private static final ConstructingObjectParser<OpenAiErrorResponse, Void> ERROR_BODY_PARSER = new ConstructingObjectParser<>(
	"open_ai_error",


		import java.nio.charset.StandardCharsets;

		/**


		import java.nio.charset.StandardCharsets;

		/**

Add Mistral AI Chat Completion support to Inference Plugin #128538

Add Mistral AI Chat Completion support to Inference Plugin #128538

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Jan-Kazlouski-elastic Jun 2, 2025 •

edited

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Jan-Kazlouski-elastic Jun 2, 2025 •

edited

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