[BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223

Closed
Feature
#275
Closed
[BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
Feature
#275
Assignees
AbhiPrasad
Labels
bot-automationintegration: mistralmultimodal

Description

@braintrust-bot
braintrust-bot
bot
opened on Apr 8, 2026

Summary

The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.

The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.

What is missing

Mistral ResourceMethodInstrumented?
client.chatcomplete(), stream()Yes
client.embeddingscreate()Yes
client.fimcomplete(), stream()Yes
client.agentscomplete(), stream()Yes
client.audio.speechcreate(), create_async()No
client.audio.transcriptionscreate(), create_async()No

Text-to-Speech (audio.speech)

Generates spoken audio from text input. Instrumentation should capture:

  • Input: text content, voice selection, audio format
  • Output: audio metadata (duration, format, size)
  • Metrics: latency, model
  • Metadata: voice ID, output format

Speech-to-Text (audio.transcriptions)

Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:

  • Input: audio file reference, language, response format
  • Output: transcribed text
  • Metrics: latency, model, audio duration
  • Metadata: language, response format

Relationship to existing issues

This is the Mistral equivalent of:

All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.

Braintrust docs status

not_found — The Mistral integration page documents chat completions only. No mention of audio API support.

Upstream sources

  • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
  • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
  • The Audio APIs support both synchronous and asynchronous operations

Local files inspected

  • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
  • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
  • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
  • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
  • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage

Metadata

Metadata

Assignees

Labels

bot-automationintegration: mistralmultimodal

Type

Feature

Projects

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    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions

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    Skip to content
    [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
    Closed
    Feature
    #275
    Closed
    [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
    Feature
    #275
    Assignees
    AbhiPrasad
    Labels
    bot-automationintegration: mistralmultimodal
    Description
    @braintrust-bot
    braintrust-bot
    bot
    opened on Apr 8, 2026
    Summary
    The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
    The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
    What is missing
    Mistral ResourceMethodInstrumented?
    client.chatcomplete(), stream()Yes
    client.embeddingscreate()Yes
    client.fimcomplete(), stream()Yes
    client.agentscomplete(), stream()Yes
    client.audio.speechcreate(), create_async()No
    client.audio.transcriptionscreate(), create_async()No
    Text-to-Speech (audio.speech)
    Generates spoken audio from text input. Instrumentation should capture:
    • Input: text content, voice selection, audio format
    • Output: audio metadata (duration, format, size)
    • Metrics: latency, model
    • Metadata: voice ID, output format
    Speech-to-Text (audio.transcriptions)
    Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
    • Input: audio file reference, language, response format
    • Output: transcribed text
    • Metrics: latency, model, audio duration
    • Metadata: language, response format
    Relationship to existing issues
    This is the Mistral equivalent of:
    All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
    Braintrust docs status
    not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
    Upstream sources
    • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
    • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
    • The Audio APIs support both synchronous and asynchronous operations
    Local files inspected
    • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
    • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
    • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
    • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
    • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
    Metadata
    Metadata
    Assignees
    Labels
    bot-automationintegration: mistralmultimodal
    Type
    Feature
    Projects
    No projects
      Milestone
      No milestone
      Relationships
      None yet
      Development
      No branches or pull requests
      Issue actions
      
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var __re = new RegExp('^' + ".*" + '

      Skip to content
      [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
      Closed
      Feature
      #275
      Closed
      [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
      Feature
      #275
      Assignees
      AbhiPrasad
      Labels
      bot-automationintegration: mistralmultimodal
      Description
      @braintrust-bot
      braintrust-bot
      bot
      opened on Apr 8, 2026
      Summary
      The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
      The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
      What is missing
      Mistral ResourceMethodInstrumented?
      client.chatcomplete(), stream()Yes
      client.embeddingscreate()Yes
      client.fimcomplete(), stream()Yes
      client.agentscomplete(), stream()Yes
      client.audio.speechcreate(), create_async()No
      client.audio.transcriptionscreate(), create_async()No
      Text-to-Speech (audio.speech)
      Generates spoken audio from text input. Instrumentation should capture:
      • Input: text content, voice selection, audio format
      • Output: audio metadata (duration, format, size)
      • Metrics: latency, model
      • Metadata: voice ID, output format
      Speech-to-Text (audio.transcriptions)
      Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
      • Input: audio file reference, language, response format
      • Output: transcribed text
      • Metrics: latency, model, audio duration
      • Metadata: language, response format
      Relationship to existing issues
      This is the Mistral equivalent of:
      All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
      Braintrust docs status
      not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
      Upstream sources
      • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
      • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
      • The Audio APIs support both synchronous and asynchronous operations
      Local files inspected
      • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
      • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
      • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
      • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
      • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
      Metadata
      Metadata
      Assignees
      Labels
      bot-automationintegration: mistralmultimodal
      Type
      Feature
      Projects
      No projects
        Milestone
        No milestone
        Relationships
        None yet
        Development
        No branches or pull requests
        Issue actions
        
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

        Skip to content
        [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
        Closed
        Feature
        #275
        Closed
        [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
        Feature
        #275
        Assignees
        AbhiPrasad
        Labels
        bot-automationintegration: mistralmultimodal
        Description
        @braintrust-bot
        braintrust-bot
        bot
        opened on Apr 8, 2026
        Summary
        The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
        The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
        What is missing
        Mistral ResourceMethodInstrumented?
        client.chatcomplete(), stream()Yes
        client.embeddingscreate()Yes
        client.fimcomplete(), stream()Yes
        client.agentscomplete(), stream()Yes
        client.audio.speechcreate(), create_async()No
        client.audio.transcriptionscreate(), create_async()No
        Text-to-Speech (audio.speech)
        Generates spoken audio from text input. Instrumentation should capture:
        • Input: text content, voice selection, audio format
        • Output: audio metadata (duration, format, size)
        • Metrics: latency, model
        • Metadata: voice ID, output format
        Speech-to-Text (audio.transcriptions)
        Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
        • Input: audio file reference, language, response format
        • Output: transcribed text
        • Metrics: latency, model, audio duration
        • Metadata: language, response format
        Relationship to existing issues
        This is the Mistral equivalent of:
        All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
        Braintrust docs status
        not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
        Upstream sources
        • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
        • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
        • The Audio APIs support both synchronous and asynchronous operations
        Local files inspected
        • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
        • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
        • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
        • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
        • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
        Metadata
        Metadata
        Assignees
        Labels
        bot-automationintegration: mistralmultimodal
        Type
        Feature
        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, 'i');
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(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

          Skip to content
          [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
          Closed
          Feature
          #275
          Closed
          [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
          Feature
          #275
          Assignees
          AbhiPrasad
          Labels
          bot-automationintegration: mistralmultimodal
          Description
          @braintrust-bot
          braintrust-bot
          bot
          opened on Apr 8, 2026
          Summary
          The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
          The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
          What is missing
          Mistral ResourceMethodInstrumented?
          client.chatcomplete(), stream()Yes
          client.embeddingscreate()Yes
          client.fimcomplete(), stream()Yes
          client.agentscomplete(), stream()Yes
          client.audio.speechcreate(), create_async()No
          client.audio.transcriptionscreate(), create_async()No
          Text-to-Speech (audio.speech)
          Generates spoken audio from text input. Instrumentation should capture:
          • Input: text content, voice selection, audio format
          • Output: audio metadata (duration, format, size)
          • Metrics: latency, model
          • Metadata: voice ID, output format
          Speech-to-Text (audio.transcriptions)
          Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
          • Input: audio file reference, language, response format
          • Output: transcribed text
          • Metrics: latency, model, audio duration
          • Metadata: language, response format
          Relationship to existing issues
          This is the Mistral equivalent of:
          All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
          Braintrust docs status
          not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
          Upstream sources
          • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
          • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
          • The Audio APIs support both synchronous and asynchronous operations
          Local files inspected
          • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
          • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
          • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
          • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
          • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
          Metadata
          Metadata
          Assignees
          Labels
          bot-automationintegration: mistralmultimodal
          Type
          Feature
          Projects
          No projects
            Milestone
            No milestone
            Relationships
            None yet
            Development
            No branches or pull requests
            Issue actions
            
, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

            Skip to content
            [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
            Closed
            Feature
            #275
            Closed
            [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
            Feature
            #275
            Assignees
            AbhiPrasad
            Labels
            bot-automationintegration: mistralmultimodal
            Description
            @braintrust-bot
            braintrust-bot
            bot
            opened on Apr 8, 2026
            Summary
            The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
            The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
            What is missing
            Mistral ResourceMethodInstrumented?
            client.chatcomplete(), stream()Yes
            client.embeddingscreate()Yes
            client.fimcomplete(), stream()Yes
            client.agentscomplete(), stream()Yes
            client.audio.speechcreate(), create_async()No
            client.audio.transcriptionscreate(), create_async()No
            Text-to-Speech (audio.speech)
            Generates spoken audio from text input. Instrumentation should capture:
            • Input: text content, voice selection, audio format
            • Output: audio metadata (duration, format, size)
            • Metrics: latency, model
            • Metadata: voice ID, output format
            Speech-to-Text (audio.transcriptions)
            Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
            • Input: audio file reference, language, response format
            • Output: transcribed text
            • Metrics: latency, model, audio duration
            • Metadata: language, response format
            Relationship to existing issues
            This is the Mistral equivalent of:
            All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
            Braintrust docs status
            not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
            Upstream sources
            • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
            • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
            • The Audio APIs support both synchronous and asynchronous operations
            Local files inspected
            • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
            • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
            • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
            • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
            • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
            Metadata
            Metadata
            Assignees
            Labels
            bot-automationintegration: mistralmultimodal
            Type
            Feature
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
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              No branches or pull requests
              Issue actions
              
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              Skip to content
              [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
              Closed
              Feature
              #275
              Closed
              [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
              Feature
              #275
              Assignees
              AbhiPrasad
              Labels
              bot-automationintegration: mistralmultimodal
              Description
              @braintrust-bot
              braintrust-bot
              bot
              opened on Apr 8, 2026
              Summary
              The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
              The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
              What is missing
              Mistral ResourceMethodInstrumented?
              client.chatcomplete(), stream()Yes
              client.embeddingscreate()Yes
              client.fimcomplete(), stream()Yes
              client.agentscomplete(), stream()Yes
              client.audio.speechcreate(), create_async()No
              client.audio.transcriptionscreate(), create_async()No
              Text-to-Speech (audio.speech)
              Generates spoken audio from text input. Instrumentation should capture:
              • Input: text content, voice selection, audio format
              • Output: audio metadata (duration, format, size)
              • Metrics: latency, model
              • Metadata: voice ID, output format
              Speech-to-Text (audio.transcriptions)
              Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
              • Input: audio file reference, language, response format
              • Output: transcribed text
              • Metrics: latency, model, audio duration
              • Metadata: language, response format
              Relationship to existing issues
              This is the Mistral equivalent of:
              All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
              Braintrust docs status
              not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
              Upstream sources
              • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
              • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
              • The Audio APIs support both synchronous and asynchronous operations
              Local files inspected
              • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
              • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
              • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
              • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
              • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
              Metadata
              Metadata
              Assignees
              Labels
              bot-automationintegration: mistralmultimodal
              Type
              Feature
              Projects
              No projects
                Milestone
                No milestone
                Relationships
                None yet
                Development
                No branches or pull requests
                Issue actions
                
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})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                Skip to content
                [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented #223
                Closed
                Feature
                #275
                Closed
                [BOT ISSUE] Mistral: Audio APIs (client.audio.speech, client.audio.transcriptions) not instrumented#223
                Feature
                #275
                Assignees
                AbhiPrasad
                Labels
                bot-automationintegration: mistralmultimodal
                Description
                @braintrust-bot
                braintrust-bot
                bot
                opened on Apr 8, 2026
                Summary
                The Mistral Audio APIs are not instrumented. Calls to client.audio.speech.create() (text-to-speech) and client.audio.transcriptions.create() (speech-to-text) produce zero Braintrust tracing. These are documented, production APIs in the Mistral platform.
                The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the audio resource.
                What is missing
                Mistral ResourceMethodInstrumented?
                client.chatcomplete(), stream()Yes
                client.embeddingscreate()Yes
                client.fimcomplete(), stream()Yes
                client.agentscomplete(), stream()Yes
                client.audio.speechcreate(), create_async()No
                client.audio.transcriptionscreate(), create_async()No
                Text-to-Speech (audio.speech)
                Generates spoken audio from text input. Instrumentation should capture:
                • Input: text content, voice selection, audio format
                • Output: audio metadata (duration, format, size)
                • Metrics: latency, model
                • Metadata: voice ID, output format
                Speech-to-Text (audio.transcriptions)
                Converts audio files into text transcripts. Also supports SSE streaming transcription (POST /v1/audio/transcriptions#stream). Instrumentation should capture:
                • Input: audio file reference, language, response format
                • Output: transcribed text
                • Metrics: latency, model, audio duration
                • Metadata: language, response format
                Relationship to existing issues
                This is the Mistral equivalent of:
                All three are the same class of gap across different provider SDKs: stable audio generation and transcription APIs that produce zero tracing.
                Braintrust docs status
                not_found — The Mistral integration page documents chat completions only. No mention of audio API support.
                Upstream sources
                • Mistral API reference — Audio endpoints: POST /v1/audio/speech, POST /v1/audio/transcriptions, POST /v1/audio/transcriptions#stream (documented at https://docs.mistral.ai/api/)
                • Mistral Python SDK (mistralai v2.3.1 on PyPI): https://pypi.org/project/mistralai/ — includes audio speech and transcription resources
                • The Audio APIs support both synchronous and asynchronous operations
                Local files inspected
                • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to audio, speech, or transcription
                • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no audio wrappers (though _normalize_special_payloads handles input_audio type for chat message inputs, the dedicated Audio API endpoints are not wrapped)
                • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no AudioPatcher
                • py/src/braintrust/integrations/mistral/test_mistral.py — no audio test cases
                • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no audio coverage
                Metadata
                Metadata
                Assignees
                Labels
                bot-automationintegration: mistralmultimodal
                Type
                Feature
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions