Update auto instrument langchain support by nikhilNava · Pull Request #153 · microsoft/Agent365-python

nikhilNava · 2026-02-02T17:50:27Z

Task
Update auto instrumentation. Ensure input and output attributes are string or string list.

Solution
Verified against v1.2.0 langchain

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        "gen_ai.channel.name": "msteams",
        "gen_ai.operation.name": "execute_tool",
        "gen_ai.tool.type": "extension",
        "gen_ai.tool.name": "calculate",
        "gen_ai.tool.description": "Perform basic arithmetic calculations. Input should be a mathematical expression.",
        "gen_ai.tool.call.id": "call_q5myB5T5bcnNqGk49bO6XzE4",
        "gen_ai.tool.arguments": "{'expression': '15 % 4'}",
        "gen_ai.event.content": "3"
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            "service.name": "LangChainTracing"
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        "gen_ai.agent.name": "Perplexity02 Agent",
        "gen_ai.agent.upn": "Sample Agent UPN",
        "gen_ai.agent.applicationid": "Sample Blueprint ID",
        "gen_ai.caller.client.ip": "0.0.0.0",
        "gen_ai.channel.name": "msteams",
        "gen_ai.input.messages": "[\"Compute 15 % 4\"]"
    },
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            "telemetry.sdk.name": "opentelemetry",
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            "service.namespace": "LangChainTesting",
            "service.name": "LangChainTracing"
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        "gen_ai.agent.applicationid": "Sample Blueprint ID",
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        "gen_ai.channel.name": "msteams"
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        "gen_ai.agent.applicationid": "Sample Blueprint ID",
        "gen_ai.caller.client.ip": "0.0.0.0",
        "gen_ai.channel.name": "msteams",
        "gen_ai.operation.name": "chat",
        "gen_ai.input.messages": "[\"You are a helpful assistant that can perform calculations.\", \"Compute 15 % 4\", \"3\"]",
        "gen_ai.response.id": "chatcmpl-D4sEI8t9imBEBofe0FiJNCx7RFl5c",
        "gen_ai.output.messages": "[\"The result of \\\\( 15 \\\\mod 4 \\\\) is \\\\( 3 \\\\).\"]",    
        "gen_ai.tool.arguments.0": "{\"type\": \"function\", \"function\": {\"name\": \"calculate\", \"description\": \"Perform basic arithmetic calculations. Input should be a mathematical expression.\", \"parameters\": {\"properties\": {\"expression\": {\"type\": \"string\"}}, \"required\": [\"expression\"], \"type\": \"object\"}}}",
        "gen_ai.provider.name": "azure",
        "gen_ai.request.model": "gpt-4o-mini-2024-07-18",
        "gen_ai.usage.input_tokens": 88,
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        "gen_ai.response.finish_reasons": 0
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        },
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        "gen_ai.agent.applicationid": "Sample Blueprint ID",
        "gen_ai.caller.client.ip": "0.0.0.0",
        "gen_ai.channel.name": "msteams",
        "gen_ai.input.messages": "[\"Compute 15 % 4\"]"
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            "service.name": "LangChainTracing"
        },
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}
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        "trace_state": "[]"
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    "status": {
        "status_code": "OK"
    },
    "attributes": {
        "operation.source": "SDK",
        "tenant.id": "badf1f56-284d-4dc5-ac59-0dd53900e743",
        "correlation.id": "7ff6dca0-917c-4bb0-b31a-794e533d8aad",
        "gen_ai.conversation.id": "ca71ab1d-3dae-4ba8-bef6-bb10a762dbf5",
        "gen_ai.agent.id": "a70248c0-9daa-4b4a-a498-b3c95c8422a5",
        "gen_ai.agent.name": "Perplexity02 Agent",
        "gen_ai.agent.upn": "Sample Agent UPN",
        "gen_ai.agent.applicationid": "Sample Blueprint ID",
        "gen_ai.caller.client.ip": "0.0.0.0",
        "gen_ai.channel.name": "msteams",
        "gen_ai.input.messages": "[\"Compute 15 % 4\"]"
    },
    "events": [],
    "links": [],
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        "attributes": {
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            "telemetry.sdk.name": "opentelemetry",
            "telemetry.sdk.version": "1.38.0",
            "service.namespace": "LangChainTesting",
            "service.name": "LangChainTracing"
        },
        "schema_url": ""
    }
}
{
    "name": "invoke_agent Perplexity02 Agent",
    "context": {
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        "span_id": "0x70ed76d03d2e6644",
        "trace_state": "[]"
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    "start_time": "2026-02-02T17:42:20.055651Z",
    "end_time": "2026-02-02T17:42:23.063162Z",
    "status": {
        "status_code": "OK"
    },
    "attributes": {
        "operation.source": "SDK",
        "tenant.id": "badf1f56-284d-4dc5-ac59-0dd53900e743",
        "correlation.id": "7ff6dca0-917c-4bb0-b31a-794e533d8aad",
        "gen_ai.conversation.id": "ca71ab1d-3dae-4ba8-bef6-bb10a762dbf5",
        "gen_ai.agent.id": "a70248c0-9daa-4b4a-a498-b3c95c8422a5",
        "gen_ai.agent.name": "Perplexity02 Agent",
        "gen_ai.agent.upn": "Sample Agent UPN",
        "gen_ai.agent.applicationid": "Sample Blueprint ID",
        "gen_ai.caller.client.ip": "0.0.0.0",
        "gen_ai.channel.name": "msteams",
        "gen_ai.caller.id": "a92962f3-9ed4-4bcd-9ae0-ad0002b6ca76",
        "gen_ai.caller.name": "Alex Wilber",
        "gen_ai.caller.upn": "Sample UPN",
        "gen_ai.execution.type": "HumanToAgent",
        "gen_ai.input.messages": "Compute 15 % 4",
        "gen_ai.output.messages": "The result of \\( 15 \\mod 4 \\) is \\( 3 \\)."
    },
    "events": [],
    "links": [],
    "resource": {
        "attributes": {
            "telemetry.sdk.language": "python",
            "telemetry.sdk.name": "opentelemetry",
            "telemetry.sdk.version": "1.38.0",
            "service.namespace": "LangChainTesting",
            "service.name": "LangChainTracing"
        },
        "schema_url": ""
    }
}

Copilot

Pull request overview

This PR updates the LangChain auto-instrumentation to work with langchain_core>=1.2.0 and to ensure that gen-AI input/output attributes emitted from LangChain traces conform to the expected string / string-list patterns, including new support for invoke-agent style spans coming from LangGraph.

Changes:

Adjusts input_messages and output_messages in utils.py to emit JSON-serialized arrays of message contents, ensuring gen_ai.input.messages / gen_ai.output.messages are strings (JSON) produced from string lists.
Enhances tool-related telemetry extraction in utils.py (including explicit execute-tool operation naming, tool call IDs, arguments, and results) and adds helpers for invoke-agent spans (invoke_agent_input_message, invoke_agent_output_message, set_execution_type, and improved operation-type mapping).
Updates tracer behavior in tracer.py to customize span naming for tools and invoke-agent/LangGraph chains and to route invoke-agent spans through the new helpers, and tightens the instrumentor dependency in tracer_instrumentor.py to langchain_core >= 1.2.0.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 3 comments.

File	Description
`libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/utils.py`	Refactors message extraction to emit JSON string arrays, enriches tool call attributes (including results), adds invoke-agent message helpers and execution type tagging, and extends operation-type mapping for execute_tool and invoke_agent spans.
`libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer_instrumentor.py`	Narrows the instrumentation dependency to `langchain_core >= 1.2.0` to match and enforce the new LangChain API expectations.
`libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer.py`	Adjusts span naming for tool and LangGraph (invoke_agent) runs and switches span enrichment to use the new invoke-agent helpers and updated message/tool extraction utilities.

...ility-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/utils.py

fpfp100 · 2026-02-02T18:42:50Z

Where gen_ai.conversation.id is set? same question for other attributes like gen_ai.channel.name.

fpfp100 · 2026-02-02T18:49:44Z

instrumentationScope is useful to check if the trace is auto instrument or manual instrument. But it is not in the output.

nikhilNava · 2026-02-02T18:52:52Z

Where gen_ai.conversation.id is set? same question for other attributes like gen_ai.channel.name.

This is set as a baggage property on the sample app I am using.
It is set by the default span we have
libraries/microsoft-agents-a365-observability-core/microsoft_agents_a365/observability/core/trace_processor/span_processor.py

nikhilNava · 2026-02-02T18:54:48Z

instrumentationScope is useful to check if the trace is auto instrument or manual instrument. But it is not in the output.

Can you share what you mean by instrumentation scope? is it a scope langchain creates in nodejs?

fpfp100 · 2026-02-02T18:56:46Z

instrumentationScope is useful to check if the trace is auto instrument or manual instrument. But it is not in the output.

Can you share what you mean by instrumentation scope? is it a scope langchain creates in nodejs?

This is the example of nodejs output :

fpfp100 · 2026-02-02T19:27:07Z

"gen_ai.tool.arguments": "{'expression': '15 % 4'}" not a valid json output.

nikhilc-microsoft added 7 commits January 26, 2026 14:09

add sk attribute enrichment

3353aa0

merge main

7f96088

organize code and fix test

250afc0

add tests

f59708b

address copilot review

e6721c7

merge main

062f203

update tracer and utility

f720abc

nikhilNava requested a review from a team as a code owner February 2, 2026 17:50

Copilot AI review requested due to automatic review settings February 2, 2026 17:50

Copilot started reviewing on behalf of nikhilNava February 2, 2026 17:50 View session

Copilot AI reviewed Feb 2, 2026

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juliomenendez approved these changes Feb 2, 2026

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nikhilNava enabled auto-merge (squash) February 2, 2026 18:26

fpfp100 approved these changes Feb 2, 2026

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nikhilNava merged commit 9a5dbdf into main Feb 2, 2026
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nikhilNava deleted the nikhilc/Auto-langchain-attributes branch February 2, 2026 19:29

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Update auto instrument langchain support#153

Update auto instrument langchain support#153
nikhilNava merged 7 commits intomainfrom
nikhilc/Auto-langchain-attributes

nikhilNava commented Feb 2, 2026 •

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fpfp100 commented Feb 2, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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nikhilNava commented Feb 2, 2026 •

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