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[BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222

Closed
Feature
#268
Closed
[BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
Feature
#268
Assignees
AbhiPrasad
Labels
bot-automationintegration: mistralmultimodal

Description

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

Summary

The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.

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

What is missing

Mistral ResourceMethodInstrumented?
client.chatcomplete(), stream()Yes
client.embeddingscreate()Yes
client.fimcomplete(), stream()Yes
client.agentscomplete(), stream()Yes
client.ocrprocess(), process_async()No

At minimum, instrumentation should create spans capturing:

  • Input: the document/image reference and any processing configuration
  • Output: the extracted text/structured content
  • Metrics: latency, token usage (if reported by the API)
  • Metadata: model, document type, page count

The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.

Braintrust docs status

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

Upstream sources

Local files inspected

  • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
  • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
  • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
  • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
  • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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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[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
    Skip to content
    [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
    Closed
    Feature
    #268
    Closed
    [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
    Feature
    #268
    Assignees
    AbhiPrasad
    Labels
    bot-automationintegration: mistralmultimodal
    Description
    @braintrust-bot
    braintrust-bot
    bot
    opened on Apr 8, 2026
    Summary
    The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
    The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
    What is missing
    Mistral ResourceMethodInstrumented?
    client.chatcomplete(), stream()Yes
    client.embeddingscreate()Yes
    client.fimcomplete(), stream()Yes
    client.agentscomplete(), stream()Yes
    client.ocrprocess(), process_async()No
    At minimum, instrumentation should create spans capturing:
    • Input: the document/image reference and any processing configuration
    • Output: the extracted text/structured content
    • Metrics: latency, token usage (if reported by the API)
    • Metadata: model, document type, page count
    The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
    Braintrust docs status
    not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
    Upstream sources
    Local files inspected
    • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
    • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
    • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
    • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
    • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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('^' + ".*" + '
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
      Skip to content
      [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
      Closed
      Feature
      #268
      Closed
      [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
      Feature
      #268
      Assignees
      AbhiPrasad
      Labels
      bot-automationintegration: mistralmultimodal
      Description
      @braintrust-bot
      braintrust-bot
      bot
      opened on Apr 8, 2026
      Summary
      The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
      The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
      What is missing
      Mistral ResourceMethodInstrumented?
      client.chatcomplete(), stream()Yes
      client.embeddingscreate()Yes
      client.fimcomplete(), stream()Yes
      client.agentscomplete(), stream()Yes
      client.ocrprocess(), process_async()No
      At minimum, instrumentation should create spans capturing:
      • Input: the document/image reference and any processing configuration
      • Output: the extracted text/structured content
      • Metrics: latency, token usage (if reported by the API)
      • Metadata: model, document type, page count
      The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
      Braintrust docs status
      not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
      Upstream sources
      Local files inspected
      • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
      • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
      • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
      • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
      • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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('^' + ".*" + '
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
        Skip to content
        [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
        Closed
        Feature
        #268
        Closed
        [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
        Feature
        #268
        Assignees
        AbhiPrasad
        Labels
        bot-automationintegration: mistralmultimodal
        Description
        @braintrust-bot
        braintrust-bot
        bot
        opened on Apr 8, 2026
        Summary
        The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
        The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
        What is missing
        Mistral ResourceMethodInstrumented?
        client.chatcomplete(), stream()Yes
        client.embeddingscreate()Yes
        client.fimcomplete(), stream()Yes
        client.agentscomplete(), stream()Yes
        client.ocrprocess(), process_async()No
        At minimum, instrumentation should create spans capturing:
        • Input: the document/image reference and any processing configuration
        • Output: the extracted text/structured content
        • Metrics: latency, token usage (if reported by the API)
        • Metadata: model, document type, page count
        The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
        Braintrust docs status
        not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
        Upstream sources
        Local files inspected
        • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
        • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
        • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
        • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
        • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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observer.observe(document.body, { childList: true, subtree: true });
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
          Skip to content
          [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
          Closed
          Feature
          #268
          Closed
          [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
          Feature
          #268
          Assignees
          AbhiPrasad
          Labels
          bot-automationintegration: mistralmultimodal
          Description
          @braintrust-bot
          braintrust-bot
          bot
          opened on Apr 8, 2026
          Summary
          The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
          The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
          What is missing
          Mistral ResourceMethodInstrumented?
          client.chatcomplete(), stream()Yes
          client.embeddingscreate()Yes
          client.fimcomplete(), stream()Yes
          client.agentscomplete(), stream()Yes
          client.ocrprocess(), process_async()No
          At minimum, instrumentation should create spans capturing:
          • Input: the document/image reference and any processing configuration
          • Output: the extracted text/structured content
          • Metrics: latency, token usage (if reported by the API)
          • Metadata: model, document type, page count
          The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
          Braintrust docs status
          not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
          Upstream sources
          Local files inspected
          • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
          • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
          • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
          • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
          • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
            Skip to content
            [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
            Closed
            Feature
            #268
            Closed
            [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
            Feature
            #268
            Assignees
            AbhiPrasad
            Labels
            bot-automationintegration: mistralmultimodal
            Description
            @braintrust-bot
            braintrust-bot
            bot
            opened on Apr 8, 2026
            Summary
            The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
            The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
            What is missing
            Mistral ResourceMethodInstrumented?
            client.chatcomplete(), stream()Yes
            client.embeddingscreate()Yes
            client.fimcomplete(), stream()Yes
            client.agentscomplete(), stream()Yes
            client.ocrprocess(), process_async()No
            At minimum, instrumentation should create spans capturing:
            • Input: the document/image reference and any processing configuration
            • Output: the extracted text/structured content
            • Metrics: latency, token usage (if reported by the API)
            • Metadata: model, document type, page count
            The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
            Braintrust docs status
            not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
            Upstream sources
            Local files inspected
            • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
            • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
            • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
            • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
            • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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');
if (__m === '*' || __re.test(location.href)) {
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function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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el.style.position = 'static';
el.style.top = 'auto';
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observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
              Skip to content
              [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
              Closed
              Feature
              #268
              Closed
              [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
              Feature
              #268
              Assignees
              AbhiPrasad
              Labels
              bot-automationintegration: mistralmultimodal
              Description
              @braintrust-bot
              braintrust-bot
              bot
              opened on Apr 8, 2026
              Summary
              The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
              The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
              What is missing
              Mistral ResourceMethodInstrumented?
              client.chatcomplete(), stream()Yes
              client.embeddingscreate()Yes
              client.fimcomplete(), stream()Yes
              client.agentscomplete(), stream()Yes
              client.ocrprocess(), process_async()No
              At minimum, instrumentation should create spans capturing:
              • Input: the document/image reference and any processing configuration
              • Output: the extracted text/structured content
              • Metrics: latency, token usage (if reported by the API)
              • Metadata: model, document type, page count
              The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
              Braintrust docs status
              not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
              Upstream sources
              Local files inspected
              • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
              • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
              • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
              • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
              • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR coverage
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/* Selection */
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::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
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}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
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enabled = !enabled;
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
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observer.observe(document.head, { childList: true });
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
[BOT ISSUE] Mistral: OCR API (`client.ocr.process()`) not instrumented · Issue #222 · braintrustdata/braintrust-sdk-python · GitHub
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                [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented #222
                Closed
                Feature
                #268
                Closed
                [BOT ISSUE] Mistral: OCR API (client.ocr.process()) not instrumented#222
                Feature
                #268
                Assignees
                AbhiPrasad
                Labels
                bot-automationintegration: mistralmultimodal
                Description
                @braintrust-bot
                braintrust-bot
                bot
                opened on Apr 8, 2026
                Summary
                The Mistral OCR API (POST /v1/ocr) is not instrumented. Calls to client.ocr.process() and client.ocr.process_async() produce zero Braintrust tracing. This is a documented, production API in the Mistral platform for extracting text and structured content from images and documents using vision models.
                The Braintrust Mistral integration instruments chat completions, embeddings, FIM, and agents, but has no patchers for the OCR resource.
                What is missing
                Mistral ResourceMethodInstrumented?
                client.chatcomplete(), stream()Yes
                client.embeddingscreate()Yes
                client.fimcomplete(), stream()Yes
                client.agentscomplete(), stream()Yes
                client.ocrprocess(), process_async()No
                At minimum, instrumentation should create spans capturing:
                • Input: the document/image reference and any processing configuration
                • Output: the extracted text/structured content
                • Metrics: latency, token usage (if reported by the API)
                • Metadata: model, document type, page count
                The OCR API is a generative vision execution surface — it uses Mistral vision models to understand and extract content from visual inputs. It is analogous to Google GenAI's models.generate_content() with document inputs, which IS instrumented in this repo.
                Braintrust docs status
                not_found — The Mistral integration page documents chat completions only. No mention of OCR API support.
                Upstream sources
                Local files inspected
                • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to ocr or Ocr
                • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no OCR wrapper
                • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers (ChatPatcher, EmbeddingsPatcher, FimPatcher, AgentsPatcher); no OcrPatcher
                • py/src/braintrust/integrations/mistral/test_mistral.py — no OCR test cases
                • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no OCR 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