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[bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273

Closed
Feature
#324
Closed
[bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
Feature
#324
Assignees
AbhiPrasad
Labels
integration: mistral

Description

@braintrust-bot
braintrust-bot
bot
opened on Apr 14, 2026

Summary

The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.

The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.

This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.

What is missing

Mistral ResourceMethodInstrumented?
client.chatcomplete(), stream()Yes
client.agentscomplete(), stream()Yes
client.beta.conversationsstart(), start_stream()No
client.beta.conversationsappend(), append_stream()No
client.beta.conversationsrestart(), restart_stream()No
client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)

Why this matters

Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:

  • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
  • Tool execution happens server-side — results are returned as part of the conversation outputs
  • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
  • Token usage is reported via ConversationUsageInfo
  • Streaming is supported for real-time output delivery

This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).

Minimum instrumentation

At minimum, start() and append() (and their streaming variants) should create spans capturing:

  • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
  • Output detail: message content, tool execution results, function call results
  • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
  • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
  • Metadata: model, tools configuration, conversation ID, guardrails config

Braintrust docs status

not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.

Upstream sources

  • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
  • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
  • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
  • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
  • Beta status: accessible to all API users, documented in the official API reference under the Beta section

Local files inspected

  • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
  • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
  • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
  • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
  • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage

Relationship to existing issues

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[bot] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
    Skip to content
    [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
    Closed
    Feature
    #324
    Closed
    [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
    Feature
    #324
    Assignees
    AbhiPrasad
    Labels
    integration: mistral
    Description
    @braintrust-bot
    braintrust-bot
    bot
    opened on Apr 14, 2026
    Summary
    The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
    The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
    This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
    What is missing
    Mistral ResourceMethodInstrumented?
    client.chatcomplete(), stream()Yes
    client.agentscomplete(), stream()Yes
    client.beta.conversationsstart(), start_stream()No
    client.beta.conversationsappend(), append_stream()No
    client.beta.conversationsrestart(), restart_stream()No
    client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
    Why this matters
    Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
    • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
    • Tool execution happens server-side — results are returned as part of the conversation outputs
    • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
    • Token usage is reported via ConversationUsageInfo
    • Streaming is supported for real-time output delivery
    This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
    Minimum instrumentation
    At minimum, start() and append() (and their streaming variants) should create spans capturing:
    • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
    • Output detail: message content, tool execution results, function call results
    • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
    • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
    • Metadata: model, tools configuration, conversation ID, guardrails config
    Braintrust docs status
    not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
    Upstream sources
    • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
    • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
    • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
    • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
    • Beta status: accessible to all API users, documented in the official API reference under the Beta section
    Local files inspected
    • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
    • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
    • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
    • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
    • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
    Relationship to existing issues
    Metadata
    Metadata
    Assignees
    Labels
    integration: mistral
    Type
    Feature
    Projects
    No projects
      Milestone
      No milestone
      Relationships
      None yet
      Development
      No branches or pull requests
      Issue actions
      
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[bot] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
      Skip to content
      [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
      Closed
      Feature
      #324
      Closed
      [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
      Feature
      #324
      Assignees
      AbhiPrasad
      Labels
      integration: mistral
      Description
      @braintrust-bot
      braintrust-bot
      bot
      opened on Apr 14, 2026
      Summary
      The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
      The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
      This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
      What is missing
      Mistral ResourceMethodInstrumented?
      client.chatcomplete(), stream()Yes
      client.agentscomplete(), stream()Yes
      client.beta.conversationsstart(), start_stream()No
      client.beta.conversationsappend(), append_stream()No
      client.beta.conversationsrestart(), restart_stream()No
      client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
      Why this matters
      Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
      • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
      • Tool execution happens server-side — results are returned as part of the conversation outputs
      • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
      • Token usage is reported via ConversationUsageInfo
      • Streaming is supported for real-time output delivery
      This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
      Minimum instrumentation
      At minimum, start() and append() (and their streaming variants) should create spans capturing:
      • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
      • Output detail: message content, tool execution results, function call results
      • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
      • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
      • Metadata: model, tools configuration, conversation ID, guardrails config
      Braintrust docs status
      not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
      Upstream sources
      • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
      • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
      • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
      • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
      • Beta status: accessible to all API users, documented in the official API reference under the Beta section
      Local files inspected
      • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
      • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
      • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
      • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
      • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
      Relationship to existing issues
      Metadata
      Metadata
      Assignees
      Labels
      integration: mistral
      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] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
        Skip to content
        [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
        Closed
        Feature
        #324
        Closed
        [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
        Feature
        #324
        Assignees
        AbhiPrasad
        Labels
        integration: mistral
        Description
        @braintrust-bot
        braintrust-bot
        bot
        opened on Apr 14, 2026
        Summary
        The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
        The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
        This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
        What is missing
        Mistral ResourceMethodInstrumented?
        client.chatcomplete(), stream()Yes
        client.agentscomplete(), stream()Yes
        client.beta.conversationsstart(), start_stream()No
        client.beta.conversationsappend(), append_stream()No
        client.beta.conversationsrestart(), restart_stream()No
        client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
        Why this matters
        Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
        • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
        • Tool execution happens server-side — results are returned as part of the conversation outputs
        • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
        • Token usage is reported via ConversationUsageInfo
        • Streaming is supported for real-time output delivery
        This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
        Minimum instrumentation
        At minimum, start() and append() (and their streaming variants) should create spans capturing:
        • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
        • Output detail: message content, tool execution results, function call results
        • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
        • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
        • Metadata: model, tools configuration, conversation ID, guardrails config
        Braintrust docs status
        not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
        Upstream sources
        • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
        • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
        • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
        • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
        • Beta status: accessible to all API users, documented in the official API reference under the Beta section
        Local files inspected
        • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
        • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
        • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
        • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
        • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
        Relationship to existing issues
        Metadata
        Metadata
        Assignees
        Labels
        integration: mistral
        Type
        Feature
        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, 'i');
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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[bot] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
          Skip to content
          [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
          Closed
          Feature
          #324
          Closed
          [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
          Feature
          #324
          Assignees
          AbhiPrasad
          Labels
          integration: mistral
          Description
          @braintrust-bot
          braintrust-bot
          bot
          opened on Apr 14, 2026
          Summary
          The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
          The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
          This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
          What is missing
          Mistral ResourceMethodInstrumented?
          client.chatcomplete(), stream()Yes
          client.agentscomplete(), stream()Yes
          client.beta.conversationsstart(), start_stream()No
          client.beta.conversationsappend(), append_stream()No
          client.beta.conversationsrestart(), restart_stream()No
          client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
          Why this matters
          Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
          • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
          • Tool execution happens server-side — results are returned as part of the conversation outputs
          • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
          • Token usage is reported via ConversationUsageInfo
          • Streaming is supported for real-time output delivery
          This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
          Minimum instrumentation
          At minimum, start() and append() (and their streaming variants) should create spans capturing:
          • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
          • Output detail: message content, tool execution results, function call results
          • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
          • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
          • Metadata: model, tools configuration, conversation ID, guardrails config
          Braintrust docs status
          not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
          Upstream sources
          • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
          • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
          • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
          • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
          • Beta status: accessible to all API users, documented in the official API reference under the Beta section
          Local files inspected
          • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
          • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
          • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
          • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
          • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
          Relationship to existing issues
          Metadata
          Metadata
          Assignees
          Labels
          integration: mistral
          Type
          Feature
          Projects
          No projects
            Milestone
            No milestone
            Relationships
            None yet
            Development
            No branches or pull requests
            Issue actions
            
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[bot] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
            Skip to content
            [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
            Closed
            Feature
            #324
            Closed
            [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
            Feature
            #324
            Assignees
            AbhiPrasad
            Labels
            integration: mistral
            Description
            @braintrust-bot
            braintrust-bot
            bot
            opened on Apr 14, 2026
            Summary
            The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
            The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
            This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
            What is missing
            Mistral ResourceMethodInstrumented?
            client.chatcomplete(), stream()Yes
            client.agentscomplete(), stream()Yes
            client.beta.conversationsstart(), start_stream()No
            client.beta.conversationsappend(), append_stream()No
            client.beta.conversationsrestart(), restart_stream()No
            client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
            Why this matters
            Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
            • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
            • Tool execution happens server-side — results are returned as part of the conversation outputs
            • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
            • Token usage is reported via ConversationUsageInfo
            • Streaming is supported for real-time output delivery
            This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
            Minimum instrumentation
            At minimum, start() and append() (and their streaming variants) should create spans capturing:
            • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
            • Output detail: message content, tool execution results, function call results
            • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
            • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
            • Metadata: model, tools configuration, conversation ID, guardrails config
            Braintrust docs status
            not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
            Upstream sources
            • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
            • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
            • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
            • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
            • Beta status: accessible to all API users, documented in the official API reference under the Beta section
            Local files inspected
            • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
            • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
            • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
            • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
            • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
            Relationship to existing issues
            Metadata
            Metadata
            Assignees
            Labels
            integration: mistral
            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] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
              Skip to content
              [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
              Closed
              Feature
              #324
              Closed
              [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
              Feature
              #324
              Assignees
              AbhiPrasad
              Labels
              integration: mistral
              Description
              @braintrust-bot
              braintrust-bot
              bot
              opened on Apr 14, 2026
              Summary
              The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
              The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
              This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
              What is missing
              Mistral ResourceMethodInstrumented?
              client.chatcomplete(), stream()Yes
              client.agentscomplete(), stream()Yes
              client.beta.conversationsstart(), start_stream()No
              client.beta.conversationsappend(), append_stream()No
              client.beta.conversationsrestart(), restart_stream()No
              client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
              Why this matters
              Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
              • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
              • Tool execution happens server-side — results are returned as part of the conversation outputs
              • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
              • Token usage is reported via ConversationUsageInfo
              • Streaming is supported for real-time output delivery
              This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
              Minimum instrumentation
              At minimum, start() and append() (and their streaming variants) should create spans capturing:
              • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
              • Output detail: message content, tool execution results, function call results
              • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
              • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
              • Metadata: model, tools configuration, conversation ID, guardrails config
              Braintrust docs status
              not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
              Upstream sources
              • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
              • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
              • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
              • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
              • Beta status: accessible to all API users, documented in the official API reference under the Beta section
              Local files inspected
              • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
              • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
              • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
              • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
              • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
              Relationship to existing issues
              Metadata
              Metadata
              Assignees
              Labels
              integration: mistral
              Type
              Feature
              Projects
              No projects
                Milestone
                No milestone
                Relationships
                None yet
                Development
                No branches or pull requests
                Issue actions
                
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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/* Restore images, videos, iframes, canvas */
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filter: invert(1) hue-rotate(180deg) !important;
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[data-theme="light"], [data-theme="light"],
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';
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console.log('[Universal Dark Mode] Disabled');
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
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observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
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})();
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[bot] Mistral: Beta Conversations API (`client.beta.conversations`) not instrumented · Issue #273 · braintrustdata/braintrust-sdk-python · GitHub
                Skip to content
                [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented #273
                Closed
                Feature
                #324
                Closed
                [bot] Mistral: Beta Conversations API (client.beta.conversations) not instrumented#273
                Feature
                #324
                Assignees
                AbhiPrasad
                Labels
                integration: mistral
                Description
                @braintrust-bot
                braintrust-bot
                bot
                opened on Apr 14, 2026
                Summary
                The Mistral Beta Conversations API (/v1/conversations) is not instrumented. Calls to client.beta.conversations.start(), client.beta.conversations.append(), and their streaming variants produce zero Braintrust tracing. This is a documented beta API on the Mistral platform for multi-turn agentic conversations where the model autonomously executes server-side tools.
                The Braintrust Mistral integration instruments client.agents.complete() (agent-configured chat completions), but the Conversations API is a distinct, higher-level agentic execution surface where Mistral manages conversation state server-side and autonomously executes tools including code interpreter, web search, image generation, and document library.
                This is the Mistral equivalent of the Anthropic Managed Agents API tracked in #259 — both are beta, server-side agentic execution surfaces from major providers that produce zero tracing today.
                What is missing
                Mistral ResourceMethodInstrumented?
                client.chatcomplete(), stream()Yes
                client.agentscomplete(), stream()Yes
                client.beta.conversationsstart(), start_stream()No
                client.beta.conversationsappend(), append_stream()No
                client.beta.conversationsrestart(), restart_stream()No
                client.beta.conversationsget(), list(), delete(), get_history(), get_messages()No (CRUD — lower priority)
                Why this matters
                Conversations is an agentic execution surface, not a simple chat API. When a conversation runs:
                • The model autonomously decides which tools to invoke (code interpreter, web search, image generation, document library, custom functions)
                • Tool execution happens server-side — results are returned as part of the conversation outputs
                • Responses include outputs arrays with message entries, tool execution entries, function calls, and agent handoffs
                • Token usage is reported via ConversationUsageInfo
                • Streaming is supported for real-time output delivery
                This is functionally equivalent to the agentic frameworks already instrumented in this repo (Anthropic Managed Agents, Pydantic AI agents, Agno agents, Google ADK, OpenAI Agents SDK, Claude Agent SDK).
                Minimum instrumentation
                At minimum, start() and append() (and their streaming variants) should create spans capturing:
                • Conversation-level span (type task): conversation ID, model, total duration, aggregate token usage
                • Output detail: message content, tool execution results, function call results
                • Tool spans: child spans for server-side tool executions (code interpreter, web search, image generation, document library)
                • Metrics: token usage from ConversationUsageInfo, time-to-first-token for streaming
                • Metadata: model, tools configuration, conversation ID, guardrails config
                Braintrust docs status
                not_found — The Mistral integration page documents chat completions, embeddings, FIM, and agents. No mention of the Conversations API.
                Upstream sources
                • Mistral Conversations API endpoints: https://docs.mistral.ai/api/endpoint/beta/conversations
                • Mistral Agents & Conversations guide: https://docs.mistral.ai/agents/agents
                • Supported tools: web search, web search premium, code interpreter, image generation, document library, custom function tools
                • Python SDK: client.beta.conversations.start(), .append(), .restart(), and streaming variants
                • Beta status: accessible to all API users, documented in the official API reference under the Beta section
                Local files inspected
                • py/src/braintrust/integrations/mistral/patchers.py — defines patchers for Chat, Embeddings, Fim, Agents; zero references to conversation, conversations, or beta
                • py/src/braintrust/integrations/mistral/tracing.py — wrapper functions for chat, embeddings, FIM, agents only; no conversation wrappers
                • py/src/braintrust/integrations/mistral/integration.py — integration class registers 4 composite patchers; no ConversationsPatcher
                • py/src/braintrust/integrations/mistral/test_mistral.py — no conversation test cases
                • py/noxfile.py — test_mistral session tests against LATEST and 1.12.4; no conversations coverage
                Relationship to existing issues
                Metadata
                Metadata
                Assignees
                Labels
                integration: mistral
                Type
                Feature
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions