diff --git a/.github/workflows/loongsuite_lint_0.yml b/.github/workflows/loongsuite_lint_0.yml
index 4ca6f1b60..4a4e81c26 100644
--- a/.github/workflows/loongsuite_lint_0.yml
+++ b/.github/workflows/loongsuite_lint_0.yml
@@ -84,7 +84,7 @@ jobs:
         shell: bash
         env:
           LOONGSUITE_ALL_JOBS: >-
-            [{"name": "lint-loongsuite-instrumentation-agentscope", "package": "loongsuite-instrumentation-agentscope", "tox_env": "lint-loongsuite-instrumentation-agentscope", "ui_name": "loongsuite-instrumentation-agentscope"}, {"name": "lint-loongsuite-instrumentation-dashscope", "package": "loongsuite-instrumentation-dashscope", "tox_env": "lint-loongsuite-instrumentation-dashscope", "ui_name": "loongsuite-instrumentation-dashscope"}, {"name": "lint-loongsuite-instrumentation-claude-agent-sdk", "package": "loongsuite-instrumentation-claude-agent-sdk", "tox_env": "lint-loongsuite-instrumentation-claude-agent-sdk", "ui_name": "loongsuite-instrumentation-claude-agent-sdk"}, {"name": "lint-loongsuite-instrumentation-google-adk", "package": "loongsuite-instrumentation-google-adk", "tox_env": "lint-loongsuite-instrumentation-google-adk", "ui_name": "loongsuite-instrumentation-google-adk"}, {"name": "lint-loongsuite-instrumentation-agno", "package": "loongsuite-instrumentation-agno", "tox_env": "lint-loongsuite-instrumentation-agno", "ui_name": "loongsuite-instrumentation-agno"}, {"name": "lint-loongsuite-instrumentation-langchain", "package": "loongsuite-instrumentation-langchain", "tox_env": "lint-loongsuite-instrumentation-langchain", "ui_name": "loongsuite-instrumentation-langchain"}, {"name": "lint-loongsuite-instrumentation-langgraph", "package": "loongsuite-instrumentation-langgraph", "tox_env": "lint-loongsuite-instrumentation-langgraph", "ui_name": "loongsuite-instrumentation-langgraph"}, {"name": "lint-loongsuite-instrumentation-autogen", "package": "loongsuite-instrumentation-autogen", "tox_env": "lint-loongsuite-instrumentation-autogen", "ui_name": "loongsuite-instrumentation-autogen"}, {"name": "lint-loongsuite-instrumentation-deepagents", "package": "loongsuite-instrumentation-deepagents", "tox_env": "lint-loongsuite-instrumentation-deepagents", "ui_name": "loongsuite-instrumentation-deepagents"}, {"name": "lint-loongsuite-instrumentation-microsoft-agent-framework", "package": "loongsuite-instrumentation-microsoft-agent-framework", "tox_env": "lint-loongsuite-instrumentation-microsoft-agent-framework", "ui_name": "loongsuite-instrumentation-microsoft-agent-framework"}, {"name": "lint-loongsuite-instrumentation-qwen-agent", "package": "loongsuite-instrumentation-qwen-agent", "tox_env": "lint-loongsuite-instrumentation-qwen-agent", "ui_name": "loongsuite-instrumentation-qwen-agent"}, {"name": "lint-loongsuite-instrumentation-hermes-agent", "package": "loongsuite-instrumentation-hermes-agent", "tox_env": "lint-loongsuite-instrumentation-hermes-agent", "ui_name": "loongsuite-instrumentation-hermes-agent"}, {"name": "lint-loongsuite-instrumentation-mem0", "package": "loongsuite-instrumentation-mem0", "tox_env": "lint-loongsuite-instrumentation-mem0", "ui_name": "loongsuite-instrumentation-mem0"}, {"name": "lint-util-genai", "package": "util-genai", "tox_env": "lint-util-genai", "ui_name": "util-genai"}, {"name": "lint-loongsuite-instrumentation-litellm", "package": "loongsuite-instrumentation-litellm", "tox_env": "lint-loongsuite-instrumentation-litellm", "ui_name": "loongsuite-instrumentation-litellm"}, {"name": "lint-loongsuite-instrumentation-crewai", "package": "loongsuite-instrumentation-crewai", "tox_env": "lint-loongsuite-instrumentation-crewai", "ui_name": "loongsuite-instrumentation-crewai"}, {"name": "lint-loongsuite-instrumentation-qwenpaw", "package": "loongsuite-instrumentation-qwenpaw", "tox_env": "lint-loongsuite-instrumentation-qwenpaw", "ui_name": "loongsuite-instrumentation-qwenpaw"}, {"name": "lint-loongsuite-instrumentation-algotune", "package": "loongsuite-instrumentation-algotune", "tox_env": "lint-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune"}, {"name": "lint-loongsuite-instrumentation-bfclv4", "package": "loongsuite-instrumentation-bfclv4", "tox_env": "lint-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4"}, {"name": "lint-loongsuite-instrumentation-claw-eval", "package": "loongsuite-instrumentation-claw-eval", "tox_env": "lint-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval"}, {"name": "lint-loongsuite-instrumentation-minisweagent", "package": "loongsuite-instrumentation-minisweagent", "tox_env": "lint-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent"}, {"name": "lint-loongsuite-instrumentation-openhands", "package": "loongsuite-instrumentation-openhands", "tox_env": "lint-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands"}, {"name": "lint-loongsuite-instrumentation-slop-code", "package": "loongsuite-instrumentation-slop-code", "tox_env": "lint-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code"}, {"name": "lint-loongsuite-instrumentation-terminus2", "package": "loongsuite-instrumentation-terminus2", "tox_env": "lint-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2"}, {"name": "lint-loongsuite-instrumentation-vita", "package": "loongsuite-instrumentation-vita", "tox_env": "lint-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita"}, {"name": "lint-loongsuite-instrumentation-webarena", "package": "loongsuite-instrumentation-webarena", "tox_env": "lint-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena"}, {"name": "lint-loongsuite-instrumentation-widesearch", "package": "loongsuite-instrumentation-widesearch", "tox_env": "lint-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch"}, {"name": "lint-loongsuite-instrumentation-wildtool", "package": "loongsuite-instrumentation-wildtool", "tox_env": "lint-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool"}]
+            [{"name": "lint-loongsuite-instrumentation-agentscope", "package": "loongsuite-instrumentation-agentscope", "tox_env": "lint-loongsuite-instrumentation-agentscope", "ui_name": "loongsuite-instrumentation-agentscope"}, {"name": "lint-loongsuite-instrumentation-dashscope", "package": "loongsuite-instrumentation-dashscope", "tox_env": "lint-loongsuite-instrumentation-dashscope", "ui_name": "loongsuite-instrumentation-dashscope"}, {"name": "lint-loongsuite-instrumentation-claude-agent-sdk", "package": "loongsuite-instrumentation-claude-agent-sdk", "tox_env": "lint-loongsuite-instrumentation-claude-agent-sdk", "ui_name": "loongsuite-instrumentation-claude-agent-sdk"}, {"name": "lint-loongsuite-instrumentation-google-adk", "package": "loongsuite-instrumentation-google-adk", "tox_env": "lint-loongsuite-instrumentation-google-adk", "ui_name": "loongsuite-instrumentation-google-adk"}, {"name": "lint-loongsuite-instrumentation-agno", "package": "loongsuite-instrumentation-agno", "tox_env": "lint-loongsuite-instrumentation-agno", "ui_name": "loongsuite-instrumentation-agno"}, {"name": "lint-loongsuite-instrumentation-langchain", "package": "loongsuite-instrumentation-langchain", "tox_env": "lint-loongsuite-instrumentation-langchain", "ui_name": "loongsuite-instrumentation-langchain"}, {"name": "lint-loongsuite-instrumentation-langgraph", "package": "loongsuite-instrumentation-langgraph", "tox_env": "lint-loongsuite-instrumentation-langgraph", "ui_name": "loongsuite-instrumentation-langgraph"}, {"name": "lint-loongsuite-instrumentation-autogen", "package": "loongsuite-instrumentation-autogen", "tox_env": "lint-loongsuite-instrumentation-autogen", "ui_name": "loongsuite-instrumentation-autogen"}, {"name": "lint-loongsuite-instrumentation-deepagents", "package": "loongsuite-instrumentation-deepagents", "tox_env": "lint-loongsuite-instrumentation-deepagents", "ui_name": "loongsuite-instrumentation-deepagents"}, {"name": "lint-loongsuite-instrumentation-deerflow", "package": "loongsuite-instrumentation-deerflow", "tox_env": "lint-loongsuite-instrumentation-deerflow", "ui_name": "loongsuite-instrumentation-deerflow"}, {"name": "lint-loongsuite-instrumentation-microsoft-agent-framework", "package": "loongsuite-instrumentation-microsoft-agent-framework", "tox_env": "lint-loongsuite-instrumentation-microsoft-agent-framework", "ui_name": "loongsuite-instrumentation-microsoft-agent-framework"}, {"name": "lint-loongsuite-instrumentation-qwen-agent", "package": "loongsuite-instrumentation-qwen-agent", "tox_env": "lint-loongsuite-instrumentation-qwen-agent", "ui_name": "loongsuite-instrumentation-qwen-agent"}, {"name": "lint-loongsuite-instrumentation-hermes-agent", "package": "loongsuite-instrumentation-hermes-agent", "tox_env": "lint-loongsuite-instrumentation-hermes-agent", "ui_name": "loongsuite-instrumentation-hermes-agent"}, {"name": "lint-loongsuite-instrumentation-mem0", "package": "loongsuite-instrumentation-mem0", "tox_env": "lint-loongsuite-instrumentation-mem0", "ui_name": "loongsuite-instrumentation-mem0"}, {"name": "lint-util-genai", "package": "util-genai", "tox_env": "lint-util-genai", "ui_name": "util-genai"}, {"name": "lint-loongsuite-instrumentation-litellm", "package": "loongsuite-instrumentation-litellm", "tox_env": "lint-loongsuite-instrumentation-litellm", "ui_name": "loongsuite-instrumentation-litellm"}, {"name": "lint-loongsuite-instrumentation-crewai", "package": "loongsuite-instrumentation-crewai", "tox_env": "lint-loongsuite-instrumentation-crewai", "ui_name": "loongsuite-instrumentation-crewai"}, {"name": "lint-loongsuite-instrumentation-qwenpaw", "package": "loongsuite-instrumentation-qwenpaw", "tox_env": "lint-loongsuite-instrumentation-qwenpaw", "ui_name": "loongsuite-instrumentation-qwenpaw"}, {"name": "lint-loongsuite-instrumentation-algotune", "package": "loongsuite-instrumentation-algotune", "tox_env": "lint-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune"}, {"name": "lint-loongsuite-instrumentation-bfclv4", "package": "loongsuite-instrumentation-bfclv4", "tox_env": "lint-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4"}, {"name": "lint-loongsuite-instrumentation-claw-eval", "package": "loongsuite-instrumentation-claw-eval", "tox_env": "lint-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval"}, {"name": "lint-loongsuite-instrumentation-minisweagent", "package": "loongsuite-instrumentation-minisweagent", "tox_env": "lint-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent"}, {"name": "lint-loongsuite-instrumentation-openhands", "package": "loongsuite-instrumentation-openhands", "tox_env": "lint-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands"}, {"name": "lint-loongsuite-instrumentation-slop-code", "package": "loongsuite-instrumentation-slop-code", "tox_env": "lint-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code"}, {"name": "lint-loongsuite-instrumentation-terminus2", "package": "loongsuite-instrumentation-terminus2", "tox_env": "lint-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2"}, {"name": "lint-loongsuite-instrumentation-vita", "package": "loongsuite-instrumentation-vita", "tox_env": "lint-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita"}, {"name": "lint-loongsuite-instrumentation-webarena", "package": "loongsuite-instrumentation-webarena", "tox_env": "lint-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena"}, {"name": "lint-loongsuite-instrumentation-widesearch", "package": "loongsuite-instrumentation-widesearch", "tox_env": "lint-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch"}, {"name": "lint-loongsuite-instrumentation-wildtool", "package": "loongsuite-instrumentation-wildtool", "tox_env": "lint-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool"}]
           LOONGSUITE_FULL: ${{ steps.detect.outputs.full }}
           LOONGSUITE_PACKAGES: ${{ steps.detect.outputs.packages }}
         run: |
diff --git a/.github/workflows/loongsuite_test_0.yml b/.github/workflows/loongsuite_test_0.yml
index 885c95dbb..b8f311da3 100644
--- a/.github/workflows/loongsuite_test_0.yml
+++ b/.github/workflows/loongsuite_test_0.yml
@@ -84,7 +84,7 @@ jobs:
         shell: bash
         env:
           LOONGSUITE_ALL_JOBS: >-
-            [{"name": "py310-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.13 ARC"}, {"name": "py311-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.13 ARC"}, {"name": "py39-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.9", "tox_env": "py39-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.9 ARC"}, {"name": "py39-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.9", "tox_env": "py39-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.9 ARC"}, {"name": "py310-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.10 ARC"}, {"name": "py310-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.11 ARC"}, {"name": "py311-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.12 ARC"}, {"name": "py312-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.13 ARC"}, {"name": "py313-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-claude-agent-sdk-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-claude-agent-sdk-oldest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-oldest 3.10 ARC"}, {"name": "py310-test-loongsuite-instrumentation-claude-agent-sdk-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-claude-agent-sdk-latest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-latest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-claude-agent-sdk-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-claude-agent-sdk-oldest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-oldest 3.11 ARC"}, {"name": "py311-test-loongsuite-instrumentation-claude-agent-sdk-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-claude-agent-sdk-latest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-latest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-claude-agent-sdk-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-claude-agent-sdk-oldest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-oldest 3.12 ARC"}, {"name": "py312-test-loongsuite-instrumentation-claude-agent-sdk-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-claude-agent-sdk-latest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-latest 3.12 ARC"}, {"name": 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"3.11", "tox_env": "py311-test-loongsuite-instrumentation-qwenpaw-legacy", "ui_name": "loongsuite-instrumentation-qwenpaw-legacy 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-qwenpaw-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-qwenpaw", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-qwenpaw-latest", "ui_name": "loongsuite-instrumentation-qwenpaw-latest 3.12 ARC"}, {"name": "py312-test-loongsuite-instrumentation-qwenpaw-legacy_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-qwenpaw", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-qwenpaw-legacy", "ui_name": "loongsuite-instrumentation-qwenpaw-legacy 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-qwenpaw-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-qwenpaw", "python_version": "3.13", "tox_env": 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"py311-test-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-algotune_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-algotune", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-algotune_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-algotune", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-bfclv4_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-bfclv4", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-bfclv4_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-bfclv4", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-bfclv4_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-bfclv4", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-bfclv4_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-bfclv4", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-claw-eval_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claw-eval", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-claw-eval_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claw-eval", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-claw-eval_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claw-eval", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-claw-eval_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claw-eval", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-minisweagent_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-minisweagent", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-minisweagent_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-minisweagent", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-minisweagent_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-minisweagent", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-minisweagent_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-minisweagent", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-openhands_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-openhands", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-openhands_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-openhands", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-openhands_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-openhands", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-openhands_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-openhands", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-slop-code_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-slop-code", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-slop-code_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-slop-code", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-slop-code_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-slop-code", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-slop-code_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-slop-code", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-terminus2_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-terminus2", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-terminus2_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-terminus2", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-terminus2_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-terminus2", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-terminus2_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-terminus2", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-vita_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-vita", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-vita_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-vita", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-vita_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-vita", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-vita_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-vita", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-webarena", "ui_name": 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{"name": "py310-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.13 ARC"}, {"name": "py39-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.9", "tox_env": "py39-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.9 ARC"}, {"name": "py310-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.10", "tox_env": "py310-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.10 ARC"}, {"name": "py311-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.11", "tox_env": "py311-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.11 ARC"}, {"name": "py312-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.12", "tox_env": "py312-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.12 ARC"}, {"name": "py313-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.13", "tox_env": "py313-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.13 ARC"}]
           LOONGSUITE_FULL: ${{ steps.detect.outputs.full }}
           LOONGSUITE_PACKAGES: ${{ steps.detect.outputs.packages }}
         run: |
diff --git a/instrumentation-loongsuite/README.md b/instrumentation-loongsuite/README.md
index 397ec9c31..07bd2ab02 100644
--- a/instrumentation-loongsuite/README.md
+++ b/instrumentation-loongsuite/README.md
@@ -11,6 +11,7 @@
 | [loongsuite-instrumentation-crewai](./loongsuite-instrumentation-crewai) | crewai >= 0.80.0 | No | development
 | [loongsuite-instrumentation-dashscope](./loongsuite-instrumentation-dashscope) | dashscope >= 1.0.0 | No | development
 | [loongsuite-instrumentation-deepagents](./loongsuite-instrumentation-deepagents) | deepagents >= 0.6.0, < 0.7.0 | No | development
+| [loongsuite-instrumentation-deerflow](./loongsuite-instrumentation-deerflow) | deerflow-harness >= 2, < 3 (official source distribution) | No | development
 | [loongsuite-instrumentation-dify](./loongsuite-instrumentation-dify) | dify | No | development
 | [loongsuite-instrumentation-google-adk](./loongsuite-instrumentation-google-adk) | google-adk >= 0.1.0 | No | development
 | [loongsuite-instrumentation-hermes-agent](./loongsuite-instrumentation-hermes-agent) | openai >= 1.0.0 | No | development
@@ -29,4 +30,4 @@
 | [loongsuite-instrumentation-vita](./loongsuite-instrumentation-vita) | vita >= 0.0.1 | No | development
 | [loongsuite-instrumentation-webarena](./loongsuite-instrumentation-webarena) | webarena >= 0.0.1 | No | development
 | [loongsuite-instrumentation-widesearch](./loongsuite-instrumentation-widesearch) | widesearch >= 0.1.0 | No | development
-| [loongsuite-instrumentation-wildtool](./loongsuite-instrumentation-wildtool) | openai >= 1.0.0 | No | development
\ No newline at end of file
+| [loongsuite-instrumentation-wildtool](./loongsuite-instrumentation-wildtool) | openai >= 1.0.0 | No | development
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/CHANGELOG.md b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/CHANGELOG.md
new file mode 100644
index 000000000..11561c0da
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/CHANGELOG.md
@@ -0,0 +1,31 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## Unreleased
+
+### Changed
+
+- Treat user cancellation, early stream closure, and DeerFlow interrupted runs
+  as non-error entry completions while retaining their interrupted status.
+- Clarify the initial sandbox, skill, and memory observability boundaries.
+- Document verified local, daemon, Docker, and embedded integration paths,
+  including DeerFlow's exact `uv sync` behavior.
+- Keep DeerFlow trace-correlation helper failures from interrupting embedded
+  client streams.
+
+## Version 0.8.0 (2026-07-14)
+
+### Added
+
+- Initial DeerFlow 2.x graph identification and application `ENTRY` spans for
+  Gateway and embedded client execution.
+- Propagate DeerFlow session, user, agent, assistant, run, and request trace
+  identities without replacing the OpenTelemetry trace id.
+- Map Gateway and embedded stream success, error, timeout, interruption, and
+  early-close lifecycles onto a single application entry span.
+- Preserve call-time OpenTelemetry and DeerFlow correlation contexts while a
+  synchronous embedded iterator is advanced or closed from another thread.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/README.md b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/README.md
new file mode 100644
index 000000000..28c8afe35
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/README.md
@@ -0,0 +1,299 @@
+# LoongSuite DeerFlow Instrumentation
+
+LoongSuite instrumentation for [DeerFlow](https://github.com/bytedance/deer-flow) 2.x.
+
+## Features
+
+- Gateway and embedded-client `ENTRY` spans
+- Lead-agent and subagent `AGENT` spans
+- One `STEP` span for every direct model-decision node
+- Existing LangChain `LLM`, `TOOL`, and supporting `CHAIN` spans
+- Session, user, assistant, run, and DeerFlow correlation identities
+- Streaming, cancellation, timeout, error, and concurrent-run lifecycle handling
+- Coexistence with DeerFlow's LangSmith, Langfuse, and Monocle callbacks
+
+The expected core tree is:
+
+```text
+ENTRY deerflow
+└── AGENT lead-agent
+    └── STEP
+        ├── LLM
+        └── TOOL task
+            └── AGENT subagent:<name>
+                └── STEP → LLM / TOOL
+```
+
+Direct invocation of a graph returned by `create_deerflow_agent()` starts at
+the `AGENT` span. It does not create a synthetic application `ENTRY` span.
+
+## Compatibility
+
+- DeerFlow `>=2,<3`
+- Python 3.12+
+- DeerFlow installed from the official source repository
+
+The similarly named `deerflow-harness` package published on PyPI is not the
+official DeerFlow 2.x distribution. This instrumentation deliberately does not
+offer an `instruments` extra that could install that placeholder package.
+
+## Choose an integration mode
+
+DeerFlow has several official startup modes. The instrumentation must be
+installed in the Python environment used by the Gateway, not in the frontend,
+nginx, sandbox, or an unrelated system Python environment.
+
+| DeerFlow mode | Recommended LoongSuite integration | Application source change |
+| --- | --- | --- |
+| Local foreground or daemon | `loongsuite-instrument` around `scripts/serve.sh` | No |
+| Docker development or production | Lock `loongsuite-site-bootstrap` and the instrumentation into the backend uv project | No Python source change |
+| Embedded `DeerFlowClient` or direct SDK graph | Programmatic `DeerFlowInstrumentor` | One initialization call |
+
+## Local foreground and daemon
+
+### 1. Prepare DeerFlow first
+
+Follow DeerFlow's official setup and let it create `backend/.venv` before
+installing LoongSuite:
+
+```bash
+git clone https://github.com/bytedance/deer-flow.git
+cd deer-flow
+make setup
+make install
+```
+
+### 2. Install LoongSuite into the Gateway environment
+
+```bash
+uv pip install \
+  --python backend/.venv/bin/python \
+  loongsuite-distro \
+  loongsuite-instrumentation-deerflow
+```
+
+Install an exporter as well when it is not already present. For OTLP:
+
+```bash
+uv pip install \
+  --python backend/.venv/bin/python \
+  opentelemetry-exporter-otlp
+```
+
+For development against a LoongSuite source checkout, follow the main
+[source-install instructions](../../README.md#install-from-source-for-development)
+and install this package from its local directory into the same
+`backend/.venv`.
+
+### 3. Verify locally with the console exporter
+
+Run DeerFlow through the executable from `backend/.venv`:
+
+```bash
+backend/.venv/bin/loongsuite-instrument \
+  --traces_exporter console \
+  --metrics_exporter none \
+  --service_name deerflow \
+  ./scripts/serve.sh --dev --skip-install
+```
+
+The instrumentation bootstrap propagates through `serve.sh` into the Gateway
+Python process. The frontend and nginx processes continue to start normally.
+
+For a local production daemon, configure the exporter as shown below and run:
+
+```bash
+backend/.venv/bin/loongsuite-instrument \
+  ./scripts/serve.sh --prod --daemon --skip-install
+```
+
+> **Why `--skip-install` is required:** DeerFlow's normal `make dev` and
+> `make start` paths run `uv sync`. An exact `uv sync` removes packages that
+> are not recorded in DeerFlow's `pyproject.toml` and `uv.lock`. Install
+> LoongSuite after the last sync and use `--skip-install`, or use the persistent
+> uv-locked approach below. A subsequent `uv run` preserves the installed
+> packages; a subsequent `uv sync` does not.
+
+## Persistent local and Docker integration
+
+DeerFlow Docker development runs `uv sync --all-packages` every time the
+Gateway container starts. Production images also construct the backend virtual
+environment from the uv lock. A host-side `pip install` therefore does not
+instrument either container and an image-only ad-hoc install is not durable for
+Docker development.
+
+For an integration that survives all official startup modes, add the
+LoongSuite packages to DeerFlow's backend project:
+
+```bash
+cd backend
+uv add \
+  'loongsuite-distro[otlp]' \
+  loongsuite-site-bootstrap \
+  loongsuite-instrumentation-deerflow
+cd ..
+```
+
+This intentionally updates DeerFlow's `backend/pyproject.toml` and `uv.lock`.
+Commit those deployment dependency changes in your DeerFlow deployment fork so
+that local development, Docker development, and production image builds use the
+same packages.
+
+Add the bootstrap and exporter settings to DeerFlow's root `.env` file:
+
+```bash
+LOONGSUITE_PYTHON_SITE_BOOTSTRAP=True
+LOONGSUITE_PYTHON_SITE_BOOTSTRAP_LOG_SUCCESS=False
+
+OTEL_SERVICE_NAME=deerflow
+OTEL_TRACES_EXPORTER=otlp
+OTEL_METRICS_EXPORTER=otlp
+OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4317
+```
+
+Do not commit credentials or authentication headers from exporter settings.
+DeerFlow's local launcher and Docker Compose files load the root `.env`. The
+site bootstrap initializes LoongSuite before DeerFlow imports its Gateway,
+agent factory, or cached `create_agent` aliases. No change to
+`backend/app/gateway/app.py` is required.
+
+You can then keep the official commands:
+
+```bash
+# Local development
+make dev
+
+# Docker development
+make docker-start
+
+# Docker production
+make up
+```
+
+For a backend outside the Compose network, replace the example collector host
+with a reachable OTLP endpoint. For OTLP/HTTP use `http/protobuf` and the
+corresponding endpoint instead.
+
+### Container verification
+
+Verify that the three required packages are installed in the Gateway
+environment:
+
+```bash
+docker exec deer-flow-gateway \
+  /app/backend/.venv/bin/python -c \
+  'from importlib.metadata import version; print(version("loongsuite-distro")); print(version("loongsuite-site-bootstrap")); print(version("loongsuite-instrumentation-deerflow"))'
+```
+
+Then execute a DeerFlow request and verify that the exporter receives one
+`ENTRY` and one lead `AGENT`, with one `STEP` for each model decision. A tool
+loop should report model finish reasons in the order `tool_calls`, then `stop`.
+
+## Programmatic instrumentation
+
+Use programmatic setup for an embedded client or an application that already
+owns its OpenTelemetry SDK initialization. Configure a tracer provider and
+exporter first, then instrument before importing DeerFlow application modules:
+
+```python
+from opentelemetry.instrumentation.deerflow import DeerFlowInstrumentor
+
+DeerFlowInstrumentor().instrument()
+
+from deerflow.client import DeerFlowClient
+
+client = DeerFlowClient()
+```
+
+Call `DeerFlowInstrumentor().uninstrument()` only during controlled teardown,
+such as tests. The instrumentor composes the LoongSuite LangChain and LangGraph
+instrumentations when they have not already been enabled.
+
+## Configuration
+
+### OTLP export
+
+```bash
+export OTEL_SERVICE_NAME=deerflow
+export OTEL_TRACES_EXPORTER=otlp
+export OTEL_METRICS_EXPORTER=otlp
+export OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+export OTEL_EXPORTER_OTLP_ENDPOINT=http://127.0.0.1:4317
+```
+
+Authentication headers, TLS certificates, and signal-specific endpoints use
+the standard OpenTelemetry exporter environment variables.
+
+### Content capture
+
+Message content is disabled by default. To capture it explicitly:
+
+```bash
+export OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental
+export OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=SPAN_ONLY
+```
+
+Supported capture modes follow the LoongSuite GenAI configuration. Keep the
+default no-content mode for environments where prompts, tool arguments, or
+responses can contain sensitive data.
+
+## Span and identity behavior
+
+- An existing host `ENTRY` takes precedence over DeerFlow Gateway and embedded
+  client entry points.
+- `DeerFlowClient.chat()` reuses `stream()` and creates only one `ENTRY`.
+- The embedded iterator restores its call-time context around each iterator
+  advance and close, including cross-thread consumption.
+- `gen_ai.session.id` and `gen_ai.user.id` prefer existing baggage values over
+  DeerFlow identities.
+- DeerFlow's request trace ID is recorded as `deerflow.trace.id`. It is a
+  correlation field and never replaces the W3C OpenTelemetry trace ID.
+- Gateway runs record `deerflow.run.id`. The public embedded stream API does
+  not expose its internal run ID, so embedded spans omit that attribute.
+- `task` remains a normal LangChain `TOOL`. No duplicate `TASK` span is added.
+- Sandbox and skill work remains visible through downstream tool and model
+  calls. This package does not add separate sandbox-allocation, skill-lifecycle,
+  or background-memory spans.
+
+## Troubleshooting
+
+### The instrumentor silently does nothing
+
+Confirm that the Gateway interpreter sees the official distribution and a
+supported version:
+
+```bash
+backend/.venv/bin/python -c \
+  'import deerflow; from importlib.metadata import version; print(version("deerflow-harness"))'
+```
+
+The version must be `>=2,<3`. A `deerflow` module without matching
+`deerflow-harness` distribution metadata is intentionally ignored.
+
+### Traces disappear after restarting DeerFlow
+
+The most common cause is a later `uv sync` removing an ad-hoc instrumentation
+install. Either reinstall LoongSuite after the sync and start with
+`--skip-install`, or record the packages in DeerFlow's uv project and use
+`loongsuite-site-bootstrap`.
+
+### Docker exports no data
+
+Check all three boundaries separately:
+
+1. The packages exist inside `/app/backend/.venv`, not only on the host.
+2. `LOONGSUITE_PYTHON_SITE_BOOTSTRAP=True` is present in the Gateway container.
+3. The OTLP endpoint is reachable from the Gateway container; `localhost`
+   refers to that container, not the host or a separate collector container.
+
+### A direct SDK call has no `ENTRY`
+
+This is expected. Direct `create_deerflow_agent(...).invoke()` or `.stream()`
+starts at `AGENT`. Use the Gateway or `DeerFlowClient` when an application
+`ENTRY` lifecycle is required, or provide a host `ENTRY` in the embedding
+application.
+
+## License
+
+Apache License 2.0
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/pyproject.toml b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/pyproject.toml
new file mode 100644
index 000000000..00b67b5c0
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/pyproject.toml
@@ -0,0 +1,52 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "loongsuite-instrumentation-deerflow"
+dynamic = ["version"]
+description = "LoongSuite DeerFlow Instrumentation"
+readme = "README.md"
+license = "Apache-2.0"
+requires-python = ">=3.12"
+authors = [
+  { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
+]
+classifiers = [
+  "Development Status :: 4 - Beta",
+  "Intended Audience :: Developers",
+  "License :: OSI Approved :: Apache Software License",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+]
+dependencies = [
+  "loongsuite-instrumentation-langchain",
+  "loongsuite-instrumentation-langgraph",
+  "opentelemetry-api ~= 1.37",
+  "opentelemetry-instrumentation >= 0.58b0",
+  "opentelemetry-semantic-conventions >= 0.58b0",
+  "opentelemetry-util-genai",
+  "packaging >= 21.0",
+  "wrapt >= 1.0.0, < 2.0.0",
+]
+
+[project.entry-points.opentelemetry_instrumentor]
+deerflow = "opentelemetry.instrumentation.deerflow:DeerFlowInstrumentor"
+
+[project.urls]
+Homepage = "https://github.com/alibaba/loongsuite-python/tree/main/instrumentation-loongsuite/loongsuite-instrumentation-deerflow"
+Repository = "https://github.com/alibaba/loongsuite-python"
+
+[tool.hatch.version]
+path = "src/opentelemetry/instrumentation/deerflow/version.py"
+
+[tool.hatch.build.targets.sdist]
+include = [
+  "src",
+  "tests",
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/opentelemetry"]
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/__init__.py
new file mode 100644
index 000000000..ee209f666
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/__init__.py
@@ -0,0 +1,209 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""LoongSuite instrumentation for ByteDance DeerFlow 2.x."""
+
+from __future__ import annotations
+
+import importlib
+import logging
+from importlib.metadata import PackageNotFoundError, version
+from typing import Any, Collection
+
+from packaging.version import InvalidVersion, Version
+
+from opentelemetry.instrumentation.deerflow.internal.patch import (
+    instrument_deerflow,
+    remove_owned_langchain_alias_wrappers,
+    uninstrument_deerflow,
+)
+from opentelemetry.instrumentation.deerflow.package import _instruments
+from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
+
+__all__ = ["DeerFlowInstrumentor"]
+
+logger = logging.getLogger(__name__)
+
+_DEERFLOW_DISTRIBUTION = "deerflow-harness"
+_MINIMUM_VERSION = Version("2")
+_MAXIMUM_VERSION = Version("3")
+
+
+def _is_langchain_instrumentor(instrumentor: BaseInstrumentor) -> bool:
+    return (
+        instrumentor.__class__.__module__
+        == "opentelemetry.instrumentation.langchain"
+    )
+
+
+def _deerflow_runtime_supported() -> bool:
+    """Validate the source-installed DeerFlow distribution at runtime."""
+    try:
+        importlib.import_module("deerflow")
+    except Exception:  # noqa: BLE001
+        logger.debug(
+            "DeerFlow could not be imported; instrumentation skipped.",
+            exc_info=True,
+        )
+        return False
+
+    try:
+        installed_version = Version(version(_DEERFLOW_DISTRIBUTION))
+    except PackageNotFoundError:
+        logger.debug(
+            "The deerflow module has no deerflow-harness distribution "
+            "metadata; DeerFlow instrumentation skipped. Install DeerFlow "
+            "2.x from the official source repository."
+        )
+        return False
+    except InvalidVersion as exc:
+        logger.debug(
+            "DeerFlow has an invalid distribution version (%s); "
+            "instrumentation skipped.",
+            exc,
+        )
+        return False
+    except Exception:  # noqa: BLE001
+        logger.debug(
+            "DeerFlow distribution metadata could not be read; "
+            "instrumentation skipped.",
+            exc_info=True,
+        )
+        return False
+
+    if not _MINIMUM_VERSION <= installed_version < _MAXIMUM_VERSION:
+        logger.debug(
+            "DeerFlow instrumentation supports deerflow-harness >=2,<3; "
+            "found %s. Instrumentation skipped.",
+            installed_version,
+        )
+        return False
+    return True
+
+
+def _instrument_dependency(
+    module_name: str,
+    class_name: str,
+    **kwargs: Any,
+) -> BaseInstrumentor | None:
+    try:
+        module = importlib.import_module(module_name)
+    except ModuleNotFoundError as exc:
+        if exc.name == module_name or (
+            exc.name is not None and module_name.startswith(f"{exc.name}.")
+        ):
+            logger.warning(
+                "DeerFlow instrumentation requires %s; continuing without it.",
+                module_name,
+            )
+            return None
+        raise
+
+    instrumentor_type = getattr(module, class_name, None)
+    if instrumentor_type is None:
+        logger.warning(
+            "DeerFlow instrumentation could not find %s.%s",
+            module_name,
+            class_name,
+        )
+        return None
+
+    instrumentor = instrumentor_type()
+    if instrumentor.is_instrumented_by_opentelemetry:
+        return None
+    instrumentor.instrument(**kwargs)
+    if instrumentor.is_instrumented_by_opentelemetry:
+        return instrumentor
+    return None
+
+
+class DeerFlowInstrumentor(BaseInstrumentor):
+    """Instrument DeerFlow graphs, Gateway runs, and embedded streams."""
+
+    def instrumentation_dependencies(self) -> Collection[str]:
+        return _instruments
+
+    def _instrument(self, **kwargs: Any) -> None:
+        self._dependency_instrumentors: list[BaseInstrumentor] = []
+        self._deerflow_patched = False
+        if not _deerflow_runtime_supported():
+            return
+
+        try:
+            for module_name, class_name in (
+                (
+                    "opentelemetry.instrumentation.langchain",
+                    "LangChainInstrumentor",
+                ),
+                (
+                    "opentelemetry.instrumentation.langgraph",
+                    "LangGraphInstrumentor",
+                ),
+            ):
+                instrumentor = _instrument_dependency(
+                    module_name,
+                    class_name,
+                    **kwargs,
+                )
+                if instrumentor is not None:
+                    self._dependency_instrumentors.append(instrumentor)
+
+            from opentelemetry.util.genai.extended_handler import (  # noqa: PLC0415
+                ExtendedTelemetryHandler,
+            )
+
+            handler = ExtendedTelemetryHandler(
+                tracer_provider=kwargs.get("tracer_provider"),
+                meter_provider=kwargs.get("meter_provider"),
+                logger_provider=kwargs.get("logger_provider"),
+            )
+            self._deerflow_patched = instrument_deerflow(handler)
+        except BaseException:
+            uninstrument_deerflow()
+            owned_langchain = any(
+                _is_langchain_instrumentor(instrumentor)
+                for instrumentor in self._dependency_instrumentors
+            )
+            for instrumentor in reversed(self._dependency_instrumentors):
+                instrumentor.uninstrument()
+            if owned_langchain:
+                remove_owned_langchain_alias_wrappers()
+            self._dependency_instrumentors = []
+            raise
+
+    def _uninstrument(self, **kwargs: Any) -> None:
+        del kwargs
+        if getattr(self, "_deerflow_patched", False):
+            uninstrument_deerflow()
+        self._deerflow_patched = False
+
+        dependency_instrumentors = getattr(
+            self, "_dependency_instrumentors", []
+        )
+        owned_langchain = any(
+            _is_langchain_instrumentor(instrumentor)
+            for instrumentor in dependency_instrumentors
+        )
+        for instrumentor in reversed(dependency_instrumentors):
+            try:
+                instrumentor.uninstrument()
+            except Exception:  # noqa: BLE001
+                logger.debug(
+                    "Failed to uninstrument DeerFlow dependency %s",
+                    instrumentor.__class__.__name__,
+                    exc_info=True,
+                )
+        if owned_langchain:
+            remove_owned_langchain_alias_wrappers()
+        self._dependency_instrumentors = []
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/__init__.py
new file mode 100644
index 000000000..b0a6f4284
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/__init__.py
@@ -0,0 +1,13 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/constants.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/constants.py
new file mode 100644
index 000000000..ba72cc2b8
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/constants.py
@@ -0,0 +1,50 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Constants shared by DeerFlow patch helpers."""
+
+AGENT_FRAMEWORK_ATTR = "_loongsuite_agent_framework"
+AGENT_STEP_NODE_ATTR = "_loongsuite_agent_step_node"
+DEERFLOW_AGENT_FRAMEWORK = "deerflow"
+DEERFLOW_AGENT_STEP_NODE = "model"
+
+GEN_AI_AGENT_NAME = "gen_ai.agent.name"
+GEN_AI_FRAMEWORK = "gen_ai.framework"
+GEN_AI_SESSION_ID = "gen_ai.session.id"
+GEN_AI_USER_ID = "gen_ai.user.id"
+
+DEERFLOW_ASSISTANT_ID = "deerflow.assistant.id"
+DEERFLOW_RUN_ID = "deerflow.run.id"
+DEERFLOW_RUN_STATUS = "deerflow.run.status"
+DEERFLOW_TRACE_ID = "deerflow.trace.id"
+
+DEERFLOW_TRACE_METADATA_KEY = "deerflow_trace_id"
+
+CREATE_AGENT_ALIASES = (
+    ("deerflow.agents.factory", "create_agent"),
+    ("deerflow.agents.lead_agent.agent", "create_agent"),
+    ("deerflow.client", "create_agent"),
+    ("deerflow.subagents.executor", "create_agent"),
+)
+
+GATEWAY_RUN_AGENT_ALIASES = (
+    ("deerflow.runtime.runs.worker", "run_agent"),
+    ("deerflow.runtime.runs", "run_agent"),
+    ("deerflow.runtime", "run_agent"),
+)
+GATEWAY_LOADED_RUN_AGENT_ALIASES = (("app.gateway.services", "run_agent"),)
+CLIENT_STREAM = (
+    "deerflow.client",
+    "DeerFlowClient.stream",
+)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/patch.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/patch.py
new file mode 100644
index 000000000..cde033304
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/patch.py
@@ -0,0 +1,802 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""DeerFlow graph and application-entry patches."""
+
+from __future__ import annotations
+
+import asyncio
+import importlib
+import logging
+import sys
+import timeit
+import uuid
+from collections.abc import Generator, Iterator
+from contextvars import Context, ContextVar, Token, copy_context
+from typing import Any, Callable
+from weakref import WeakKeyDictionary
+
+from wrapt import wrap_function_wrapper
+
+from opentelemetry import baggage
+from opentelemetry import context as otel_context
+from opentelemetry.instrumentation.utils import unwrap
+from opentelemetry.util.genai.extended_handler import (
+    ExtendedTelemetryHandler,
+)
+from opentelemetry.util.genai.extended_types import EntryInvocation
+from opentelemetry.util.genai.types import Error
+
+from .constants import (
+    AGENT_FRAMEWORK_ATTR,
+    AGENT_STEP_NODE_ATTR,
+    CLIENT_STREAM,
+    CREATE_AGENT_ALIASES,
+    DEERFLOW_AGENT_FRAMEWORK,
+    DEERFLOW_AGENT_STEP_NODE,
+    DEERFLOW_RUN_STATUS,
+    GATEWAY_LOADED_RUN_AGENT_ALIASES,
+    GATEWAY_RUN_AGENT_ALIASES,
+    GEN_AI_AGENT_NAME,
+)
+from .utils import (
+    create_entry_invocation,
+    has_active_host_entry,
+    non_empty_string,
+    should_capture_content,
+    to_output_messages,
+    trace_id_from_sources,
+)
+
+logger = logging.getLogger(__name__)
+
+_ENTRY_DEPTH: ContextVar[int] = ContextVar(
+    "loongsuite_deerflow_entry_depth", default=0
+)
+_MISSING = object()
+_LEGACY_GRAPH_ATTRS = (
+    "_loongsuite_react_agent",
+    "_loongsuite_deepagents_agent",
+)
+
+_patched_locations: list[tuple[str, str]] = []
+_owned_gateway_wrappers: list[Any] = []
+_original_graph_markers: WeakKeyDictionary[Any, dict[str, Any]] = (
+    WeakKeyDictionary()
+)
+_strong_graph_markers: list[tuple[Any, dict[str, Any]]] = []
+
+
+class DeerFlowRunError(RuntimeError):
+    """A DeerFlow Gateway run ended in its error state."""
+
+
+class DeerFlowRunTimeout(TimeoutError):
+    """A DeerFlow Gateway run ended in its timeout state."""
+
+
+class DeerFlowRunInterrupted(InterruptedError):
+    """A DeerFlow Gateway run was interrupted."""
+
+
+def _track_graph(graph: Any, original_markers: dict[str, Any]) -> None:
+    try:
+        if graph not in _original_graph_markers:
+            _original_graph_markers[graph] = original_markers
+        return
+    except TypeError:
+        pass
+
+    if not any(existing is graph for existing, _ in _strong_graph_markers):
+        _strong_graph_markers.append((graph, original_markers))
+
+
+def mark_deerflow_graph(graph: Any) -> Any:
+    """Mark a graph with DeerFlow semantics and no legacy ReAct flags."""
+    marker_attrs = (
+        AGENT_FRAMEWORK_ATTR,
+        AGENT_STEP_NODE_ATTR,
+        *_LEGACY_GRAPH_ATTRS,
+    )
+    original_markers = {
+        name: getattr(graph, name, _MISSING) for name in marker_attrs
+    }
+    try:
+        setattr(graph, AGENT_FRAMEWORK_ATTR, DEERFLOW_AGENT_FRAMEWORK)
+        setattr(graph, AGENT_STEP_NODE_ATTR, DEERFLOW_AGENT_STEP_NODE)
+        for legacy_attr in _LEGACY_GRAPH_ATTRS:
+            if hasattr(graph, legacy_attr):
+                delattr(graph, legacy_attr)
+    except Exception:  # noqa: BLE001
+        logger.debug("Could not mark DeerFlow graph", exc_info=True)
+        return graph
+    _track_graph(graph, original_markers)
+    return graph
+
+
+def _create_agent_alias_wrapper(
+    wrapped: Callable[..., Any],
+    _instance: Any,
+    args: tuple[Any, ...],
+    kwargs: dict[str, Any],
+) -> Any:
+    return mark_deerflow_graph(wrapped(*args, **kwargs))
+
+
+def _entry_is_active() -> bool:
+    return _ENTRY_DEPTH.get() > 0 or has_active_host_entry()
+
+
+def _call_arg(
+    args: tuple[Any, ...],
+    kwargs: dict[str, Any],
+    position: int,
+    name: str,
+    default: Any = None,
+) -> Any:
+    if name in kwargs:
+        return kwargs[name]
+    if len(args) > position:
+        return args[position]
+    return default
+
+
+def _effective_user_id(fallback: Any = None) -> str | None:
+    if fallback is not None:
+        return non_empty_string(fallback)
+    try:
+        from deerflow.runtime.user_context import (  # noqa: PLC0415
+            get_effective_user_id,
+        )
+
+        return non_empty_string(get_effective_user_id())
+    except Exception:  # noqa: BLE001
+        return None
+
+
+def _client_trace_id(instance: Any) -> str | None:
+    """Resolve or pre-generate current DeerFlow embedded correlation id."""
+    trace_id = trace_id_from_sources()
+    if trace_id:
+        return trace_id
+    try:
+        from deerflow.config.app_config import (  # noqa: PLC0415
+            is_trace_correlation_enabled,
+        )
+        from deerflow.trace_context import generate_trace_id  # noqa: PLC0415
+
+        if is_trace_correlation_enabled(
+            getattr(instance, "_app_config", None)
+        ):
+            return generate_trace_id()
+    except Exception:  # noqa: BLE001
+        logger.debug(
+            "Failed to resolve DeerFlow trace correlation id",
+            exc_info=True,
+        )
+    return None
+
+
+def _bind_deerflow_trace_id(trace_id: str | None) -> Any:
+    if not trace_id:
+        return None
+    try:
+        from deerflow.trace_context import (  # noqa: PLC0415
+            set_current_trace_id,
+        )
+
+        return set_current_trace_id(trace_id)
+    except Exception:  # noqa: BLE001
+        logger.debug(
+            "Failed to bind DeerFlow trace correlation id",
+            exc_info=True,
+        )
+        return None
+
+
+def _reset_deerflow_trace_id(token: Any) -> None:
+    if token is None:
+        return
+    try:
+        from deerflow.trace_context import (  # noqa: PLC0415
+            reset_current_trace_id,
+        )
+
+        reset_current_trace_id(token)
+    except Exception:  # noqa: BLE001
+        logger.debug("Failed to reset DeerFlow trace context", exc_info=True)
+
+
+def _gateway_user_id(config: dict[str, Any]) -> str | None:
+    """Resolve the Gateway user through DeerFlow's runtime contract."""
+    runtime_context = config.get("context")
+    runtime_context = (
+        runtime_context if isinstance(runtime_context, dict) else {}
+    )
+    try:
+        from deerflow.runtime.user_context import (  # noqa: PLC0415
+            resolve_runtime_user_id,
+        )
+
+        runtime = type("_Runtime", (), {"context": runtime_context})()
+        return non_empty_string(resolve_runtime_user_id(runtime))
+    except Exception:  # noqa: BLE001
+        return _effective_user_id()
+
+
+def _gateway_invocation(
+    record: Any,
+    graph_input: Any,
+    config: Any,
+) -> EntryInvocation:
+    config = config if isinstance(config, dict) else {}
+    metadata = config.get("metadata")
+    metadata = metadata if isinstance(metadata, dict) else {}
+    record_metadata = getattr(record, "metadata", None)
+    record_metadata = (
+        record_metadata if isinstance(record_metadata, dict) else {}
+    )
+    context = config.get("context")
+    context = context if isinstance(context, dict) else {}
+    configurable = config.get("configurable")
+    configurable = configurable if isinstance(configurable, dict) else {}
+    run_name = config.get("run_name") or metadata.get("run_name")
+    assistant_id = getattr(record, "assistant_id", None)
+    agent_name = (
+        context.get("agent_name")
+        or configurable.get("agent_name")
+        or metadata.get("agent_name")
+        or run_name
+        or "lead-agent"
+    )
+
+    return create_entry_invocation(
+        thread_id=getattr(record, "thread_id", None),
+        user_id=_gateway_user_id(config),
+        agent_name=agent_name,
+        assistant_id=assistant_id,
+        run_id=getattr(record, "run_id", None),
+        deerflow_trace_id=trace_id_from_sources(
+            metadata,
+            record_metadata,
+        ),
+        input_value=graph_input,
+    )
+
+
+def _error_from_exception(exc: BaseException) -> Error:
+    return Error(message=str(exc), type=type(exc))
+
+
+def _run_status_value(record: Any) -> str:
+    status = getattr(record, "status", None)
+    value = getattr(status, "value", status)
+    return non_empty_string(value) or "unknown"
+
+
+def _run_status_error(record: Any, status: str) -> BaseException:
+    message = non_empty_string(getattr(record, "error", None))
+    if status == "timeout":
+        return DeerFlowRunTimeout(message or "DeerFlow run timed out")
+    if status == "interrupted":
+        return DeerFlowRunInterrupted(
+            message or "DeerFlow run was interrupted"
+        )
+    return DeerFlowRunError(
+        message or f"DeerFlow run ended with status {status}"
+    )
+
+
+def _safe_stop_entry(
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+) -> None:
+    try:
+        handler.stop_entry(invocation)
+    except Exception:  # noqa: BLE001
+        logger.debug("Failed to stop DeerFlow ENTRY", exc_info=True)
+
+
+def _safe_fail_entry(
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+    exc: BaseException,
+) -> None:
+    try:
+        handler.fail_entry(invocation, _error_from_exception(exc))
+    except Exception:  # noqa: BLE001
+        logger.debug("Failed to fail DeerFlow ENTRY", exc_info=True)
+
+
+def _start_entry_with_agent_baggage(
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+) -> None:
+    """Start ENTRY while exposing its resolved agent name to child spans."""
+    parent_context = otel_context.get_current()
+    agent_name = invocation.attributes.get(GEN_AI_AGENT_NAME)
+    if agent_name:
+        parent_context = baggage.set_baggage(
+            GEN_AI_AGENT_NAME,
+            agent_name,
+            parent_context,
+        )
+    handler.start_entry(invocation, context=parent_context)
+
+
+class _GatewayRunAgentWrapper:
+    """Create one ENTRY around the asynchronous Gateway worker run."""
+
+    def __init__(self, handler: ExtendedTelemetryHandler):
+        self._handler = handler
+
+    async def __call__(
+        self,
+        wrapped: Callable[..., Any],
+        _instance: Any,
+        args: tuple[Any, ...],
+        kwargs: dict[str, Any],
+    ) -> Any:
+        if _entry_is_active():
+            return await wrapped(*args, **kwargs)
+
+        record = _call_arg(args, kwargs, 2, "record")
+        # DeerFlow 2.x declares these as keyword-only arguments. Reading them
+        # by name keeps this wrapper aligned with the supported API instead of
+        # relying on impossible positional offsets.
+        graph_input = kwargs.get("graph_input")
+        config = kwargs.get("config", {})
+        if record is None:
+            return await wrapped(*args, **kwargs)
+
+        invocation = _gateway_invocation(record, graph_input, config)
+        depth_token = _ENTRY_DEPTH.set(_ENTRY_DEPTH.get() + 1)
+        try:
+            _start_entry_with_agent_baggage(self._handler, invocation)
+        except Exception:  # noqa: BLE001
+            _ENTRY_DEPTH.reset(depth_token)
+            logger.debug(
+                "Failed to start DeerFlow Gateway ENTRY", exc_info=True
+            )
+            return await wrapped(*args, **kwargs)
+
+        try:
+            result = await wrapped(*args, **kwargs)
+        except BaseException as exc:
+            status = _run_status_value(record)
+            if status in {"unknown", "pending", "running"}:
+                status = (
+                    "interrupted"
+                    if isinstance(exc, asyncio.CancelledError)
+                    else "error"
+                )
+            invocation.attributes[DEERFLOW_RUN_STATUS] = status
+            if status == "interrupted":
+                _safe_stop_entry(self._handler, invocation)
+            else:
+                _safe_fail_entry(self._handler, invocation, exc)
+            raise
+        else:
+            status = _run_status_value(record)
+            invocation.attributes[DEERFLOW_RUN_STATUS] = status
+            if should_capture_content():
+                invocation.output_messages = to_output_messages(
+                    getattr(record, "last_ai_message", None)
+                )
+            if status in {"success", "interrupted"}:
+                _safe_stop_entry(self._handler, invocation)
+            else:
+                _safe_fail_entry(
+                    self._handler,
+                    invocation,
+                    _run_status_error(record, status),
+                )
+            return result
+        finally:
+            _ENTRY_DEPTH.reset(depth_token)
+
+
+class _StreamOutput:
+    """Accumulate the final embedded assistant message when capture is on."""
+
+    def __init__(self) -> None:
+        self._chunks: dict[str, list[str]] = {}
+        self._last_id: str | None = None
+
+    def observe(
+        self,
+        event: Any,
+        invocation: EntryInvocation,
+    ) -> None:
+        if getattr(event, "type", None) != "messages-tuple":
+            return
+        data = getattr(event, "data", None)
+        if not isinstance(data, dict) or data.get("type") != "ai":
+            return
+        if invocation.response_time_to_first_token is None:
+            invocation.response_time_to_first_token = int(
+                (timeit.default_timer() - invocation.monotonic_start_s)
+                * 1_000_000_000
+            )
+        raw_content = data.get("content")
+        if not isinstance(raw_content, str) or not raw_content:
+            return
+        if not should_capture_content():
+            return
+        content = raw_content
+        message_id = non_empty_string(data.get("id")) or ""
+        self._chunks.setdefault(message_id, []).append(content)
+        self._last_id = message_id
+
+    def finish(self, invocation: EntryInvocation) -> None:
+        if not should_capture_content() or self._last_id is None:
+            return
+        output = "".join(self._chunks.get(self._last_id, ()))
+        invocation.output_messages = to_output_messages(output)
+
+
+def _start_isolated_entry(
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+) -> Token[int]:
+    depth_token = _ENTRY_DEPTH.set(_ENTRY_DEPTH.get() + 1)
+    try:
+        _start_entry_with_agent_baggage(handler, invocation)
+    except BaseException:
+        _ENTRY_DEPTH.reset(depth_token)
+        raise
+    return depth_token
+
+
+def _finish_isolated_entry(
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+    depth_token: Token[int],
+    deerflow_trace_token: Any,
+    error: BaseException | None,
+) -> None:
+    try:
+        if error is None:
+            _safe_stop_entry(handler, invocation)
+        else:
+            if isinstance(error, (GeneratorExit, asyncio.CancelledError)):
+                status = "interrupted"
+            elif isinstance(error, TimeoutError):
+                status = "timeout"
+            else:
+                status = "error"
+            invocation.attributes[DEERFLOW_RUN_STATUS] = status
+            if status == "interrupted":
+                _safe_stop_entry(handler, invocation)
+            else:
+                _safe_fail_entry(handler, invocation, error)
+    finally:
+        _ENTRY_DEPTH.reset(depth_token)
+        _reset_deerflow_trace_id(deerflow_trace_token)
+
+
+def _close_iterator(inner: Iterator[Any]) -> None:
+    close = getattr(inner, "close", None)
+    if callable(close):
+        close()
+
+
+def _iterate_in_context(
+    inner: Iterator[Any],
+    stream_context: Context,
+) -> Generator[Any, None, None]:
+    """Advance and close an iterator inside its call-time context."""
+    try:
+        while True:
+            try:
+                event = stream_context.run(next, inner)
+            except StopIteration:
+                break
+            yield event
+    finally:
+        try:
+            stream_context.run(_close_iterator, inner)
+        except Exception:  # noqa: BLE001
+            logger.debug("Failed to close DeerFlow stream", exc_info=True)
+
+
+def _entry_stream(
+    inner: Iterator[Any],
+    handler: ExtendedTelemetryHandler,
+    invocation: EntryInvocation,
+    entry_context: Context,
+    deerflow_trace_id: str | None,
+) -> Generator[Any, None, None]:
+    """Advance a DeerFlow iterator only inside an isolated OTel context."""
+    output = _StreamOutput()
+    deerflow_trace_token = entry_context.run(
+        _bind_deerflow_trace_id,
+        deerflow_trace_id,
+    )
+    try:
+        depth_token = entry_context.run(
+            _start_isolated_entry,
+            handler,
+            invocation,
+        )
+    except Exception:  # noqa: BLE001
+        entry_context.run(
+            _reset_deerflow_trace_id,
+            deerflow_trace_token,
+        )
+        logger.debug("Failed to start DeerFlow Client ENTRY", exc_info=True)
+        yield from _iterate_in_context(inner, entry_context)
+        return
+
+    try:
+        while True:
+            try:
+                event = entry_context.run(next, inner)
+            except StopIteration:
+                break
+            output.observe(event, invocation)
+            yield event
+    except GeneratorExit as exc:
+        try:
+            entry_context.run(_close_iterator, inner)
+        except Exception:  # noqa: BLE001
+            logger.debug("Failed to close DeerFlow stream", exc_info=True)
+        entry_context.run(
+            _finish_isolated_entry,
+            handler,
+            invocation,
+            depth_token,
+            deerflow_trace_token,
+            exc,
+        )
+        raise
+    except BaseException as exc:
+        entry_context.run(
+            _finish_isolated_entry,
+            handler,
+            invocation,
+            depth_token,
+            deerflow_trace_token,
+            exc,
+        )
+        raise
+    else:
+        output.finish(invocation)
+        invocation.attributes[DEERFLOW_RUN_STATUS] = "success"
+        entry_context.run(
+            _finish_isolated_entry,
+            handler,
+            invocation,
+            depth_token,
+            deerflow_trace_token,
+            None,
+        )
+
+
+class _ClientStreamWrapper:
+    """Create an isolated, iterator-lifecycle ENTRY for embedded streams."""
+
+    def __init__(self, handler: ExtendedTelemetryHandler):
+        self._handler = handler
+
+    def __call__(
+        self,
+        wrapped: Callable[..., Any],
+        instance: Any,
+        args: tuple[Any, ...],
+        kwargs: dict[str, Any],
+    ) -> Any:
+        entry_context = copy_context()
+        if _entry_is_active():
+            inner = iter(wrapped(*args, **kwargs))
+            return _iterate_in_context(inner, entry_context)
+
+        call_kwargs = dict(kwargs)
+        thread_id = _call_arg(args, call_kwargs, 1, "thread_id")
+        if thread_id is None:
+            thread_id = str(uuid.uuid4())
+            call_kwargs["thread_id"] = thread_id
+
+        message = _call_arg(args, call_kwargs, 0, "message")
+        assistant_id = getattr(instance, "_agent_name", None)
+        agent_name = (
+            assistant_id or call_kwargs.get("run_name") or "lead-agent"
+        )
+        deerflow_trace_id = _client_trace_id(instance)
+        invocation = create_entry_invocation(
+            thread_id=thread_id,
+            user_id=_effective_user_id(),
+            agent_name=agent_name,
+            assistant_id=assistant_id,
+            deerflow_trace_id=deerflow_trace_id,
+            input_value=message,
+        )
+        inner = iter(wrapped(*args, **call_kwargs))
+        return _entry_stream(
+            inner,
+            self._handler,
+            invocation,
+            entry_context,
+            deerflow_trace_id,
+        )
+
+
+def _patch_location(
+    module_name: str,
+    target: str,
+    wrapper: Any,
+) -> bool:
+    if (module_name, target) in _patched_locations:
+        return False
+    try:
+        importlib.import_module(module_name)
+        wrap_function_wrapper(module_name, target, wrapper)
+    except Exception:  # noqa: BLE001
+        logger.warning(
+            "Could not patch DeerFlow target %s.%s",
+            module_name,
+            target,
+            exc_info=True,
+        )
+        return False
+    _patched_locations.append((module_name, target))
+    return True
+
+
+def instrument_deerflow(handler: ExtendedTelemetryHandler) -> bool:
+    """Patch installed DeerFlow 2.x creation and application entry points."""
+    patched = False
+    for module_name, target in CREATE_AGENT_ALIASES:
+        patched = (
+            _patch_location(
+                module_name,
+                target,
+                _create_agent_alias_wrapper,
+            )
+            or patched
+        )
+
+    gateway_wrapper = _GatewayRunAgentWrapper(handler)
+    for module_name, target in GATEWAY_RUN_AGENT_ALIASES:
+        location_patched = _patch_location(
+            module_name,
+            target,
+            gateway_wrapper,
+        )
+        if location_patched:
+            owner, attribute = _resolve_patch_owner(module_name, target)
+            _owned_gateway_wrappers.append(getattr(owner, attribute))
+        patched = location_patched or patched
+    for module_name, target in GATEWAY_LOADED_RUN_AGENT_ALIASES:
+        if module_name in sys.modules:
+            location_patched = _patch_location(
+                module_name,
+                target,
+                gateway_wrapper,
+            )
+            if location_patched:
+                owner, attribute = _resolve_patch_owner(module_name, target)
+                _owned_gateway_wrappers.append(getattr(owner, attribute))
+            patched = location_patched or patched
+    patched = (
+        _patch_location(
+            *CLIENT_STREAM,
+            _ClientStreamWrapper(handler),
+        )
+        or patched
+    )
+    return patched
+
+
+def _resolve_patch_owner(module_name: str, target: str) -> tuple[Any, str]:
+    owner: Any = importlib.import_module(module_name)
+    parts = target.split(".")
+    for part in parts[:-1]:
+        owner = getattr(owner, part)
+    return owner, parts[-1]
+
+
+def _restore_graphs() -> None:
+    tracked = [
+        *_original_graph_markers.items(),
+        *_strong_graph_markers,
+    ]
+    for graph, original_markers in tracked:
+        for attr_name, original_value in original_markers.items():
+            try:
+                if original_value is _MISSING:
+                    if hasattr(graph, attr_name):
+                        delattr(graph, attr_name)
+                else:
+                    setattr(graph, attr_name, original_value)
+            except Exception:  # noqa: BLE001
+                logger.debug(
+                    "Could not restore DeerFlow graph marker",
+                    exc_info=True,
+                )
+    _original_graph_markers.clear()
+    _strong_graph_markers.clear()
+
+
+def _restore_late_gateway_aliases() -> None:
+    """Unwrap Gateway aliases cached after instrumentation completed."""
+    patched_locations = set(_patched_locations)
+    for module_name, target in GATEWAY_LOADED_RUN_AGENT_ALIASES:
+        if (
+            module_name not in sys.modules
+            or (module_name, target) in patched_locations
+        ):
+            continue
+        try:
+            owner, attribute = _resolve_patch_owner(module_name, target)
+            candidate = getattr(owner, attribute)
+            if any(
+                candidate is wrapper for wrapper in _owned_gateway_wrappers
+            ):
+                unwrap(owner, attribute)
+        except Exception:  # noqa: BLE001
+            logger.debug(
+                "Could not restore late DeerFlow Gateway alias %s.%s",
+                module_name,
+                target,
+                exc_info=True,
+            )
+
+
+def remove_owned_langchain_alias_wrappers() -> None:
+    """Remove alias wrappers installed by a DeerFlow-owned dependency.
+
+    ``LangChainInstrumentor.uninstrument()`` restores its canonical module
+    targets, but DeerFlow modules may have cached the wrapped ``create_agent``
+    callable during import. Those cached aliases are not instrumentor state;
+    remove only the matching LangChain wrapper from those locations.
+    """
+    for module_name, target in CREATE_AGENT_ALIASES:
+        try:
+            owner, attribute = _resolve_patch_owner(module_name, target)
+            candidate = getattr(owner, attribute)
+            wrapper = getattr(candidate, "_self_wrapper", None)
+            if (
+                getattr(wrapper, "__module__", None)
+                == "opentelemetry.instrumentation.langchain"
+                and getattr(wrapper, "__name__", None)
+                == "_create_agent_wrapper"
+            ):
+                unwrap(owner, attribute)
+        except Exception:  # noqa: BLE001
+            logger.debug(
+                "Could not restore DeerFlow dependency alias %s.%s",
+                module_name,
+                target,
+                exc_info=True,
+            )
+
+
+def uninstrument_deerflow() -> None:
+    """Restore all DeerFlow module targets and existing graph markers."""
+    _restore_late_gateway_aliases()
+    for module_name, target in reversed(_patched_locations):
+        try:
+            owner, attribute = _resolve_patch_owner(module_name, target)
+            unwrap(owner, attribute)
+        except Exception:  # noqa: BLE001
+            logger.debug(
+                "Could not restore DeerFlow target %s.%s",
+                module_name,
+                target,
+                exc_info=True,
+            )
+    _patched_locations.clear()
+    _owned_gateway_wrappers.clear()
+    _restore_graphs()
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/utils.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/utils.py
new file mode 100644
index 000000000..340071add
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/internal/utils.py
@@ -0,0 +1,258 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Identity and content helpers for DeerFlow ENTRY spans."""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, Iterable
+
+from opentelemetry import baggage, trace
+from opentelemetry.util.genai.extended_handler import is_entry_context_active
+from opentelemetry.util.genai.extended_types import EntryInvocation
+from opentelemetry.util.genai.types import (
+    ContentCapturingMode,
+    InputMessage,
+    OutputMessage,
+    Text,
+)
+from opentelemetry.util.genai.utils import (
+    get_content_capturing_mode,
+    is_experimental_mode,
+)
+
+from .constants import (
+    DEERFLOW_ASSISTANT_ID,
+    DEERFLOW_RUN_ID,
+    DEERFLOW_TRACE_ID,
+    DEERFLOW_TRACE_METADATA_KEY,
+    GEN_AI_AGENT_NAME,
+    GEN_AI_FRAMEWORK,
+    GEN_AI_SESSION_ID,
+    GEN_AI_USER_ID,
+)
+
+logger = logging.getLogger(__name__)
+
+
+def non_empty_string(value: Any) -> str | None:
+    """Return a stripped string value, or ``None`` for empty inputs."""
+    if value is None:
+        return None
+    try:
+        text = str(value).strip()
+    except Exception:  # noqa: BLE001
+        return None
+    return text or None
+
+
+def should_capture_content() -> bool:
+    """Whether sensitive message content may be written to spans."""
+    if not is_experimental_mode():
+        return False
+    try:
+        return get_content_capturing_mode() in (
+            ContentCapturingMode.SPAN_ONLY,
+            ContentCapturingMode.SPAN_AND_EVENT,
+        )
+    except ValueError:
+        return False
+
+
+def baggage_identity(key: str) -> str | None:
+    """Read a non-empty GenAI identity value from current baggage."""
+    return non_empty_string(baggage.get_baggage(key))
+
+
+def resolve_session_id(thread_id: Any) -> str | None:
+    """Apply the ENTRY session precedence contract."""
+    return baggage_identity(GEN_AI_SESSION_ID) or non_empty_string(thread_id)
+
+
+def resolve_user_id(deerflow_user_id: Any) -> str | None:
+    """Apply the ENTRY user precedence contract."""
+    return baggage_identity(GEN_AI_USER_ID) or non_empty_string(
+        deerflow_user_id
+    )
+
+
+def _message_role(message: Any) -> str:
+    if isinstance(message, dict):
+        role = message.get("role") or message.get("type")
+    else:
+        role = getattr(message, "role", None) or getattr(message, "type", None)
+    role_text = non_empty_string(role) or "user"
+    return {
+        "ai": "assistant",
+        "human": "user",
+    }.get(role_text, role_text)
+
+
+def _message_content(message: Any) -> str | None:
+    if isinstance(message, str):
+        return non_empty_string(message)
+    if isinstance(message, dict):
+        content = message.get("content")
+    else:
+        content = getattr(message, "content", None)
+
+    if isinstance(content, str):
+        return non_empty_string(content)
+    if isinstance(content, list):
+        parts: list[str] = []
+        for part in content:
+            if isinstance(part, str):
+                text = non_empty_string(part)
+            elif isinstance(part, dict):
+                text = non_empty_string(part.get("text"))
+            else:
+                text = non_empty_string(getattr(part, "text", None))
+            if text:
+                parts.append(text)
+        return "".join(parts) or None
+    return non_empty_string(content)
+
+
+def to_input_messages(value: Any) -> list[InputMessage]:
+    """Convert common DeerFlow/LangChain input shapes to GenAI messages."""
+    if not should_capture_content():
+        return []
+
+    messages: Iterable[Any]
+    if isinstance(value, dict):
+        raw_messages = value.get("messages")
+        if isinstance(raw_messages, (list, tuple)):
+            messages = raw_messages
+        else:
+            direct = value.get("input") or value.get("query")
+            messages = [direct] if direct is not None else []
+    elif isinstance(value, (list, tuple)):
+        messages = value
+    else:
+        messages = [value]
+
+    converted: list[InputMessage] = []
+    for message in messages:
+        content = _message_content(message)
+        if content:
+            converted.append(
+                InputMessage(
+                    role=_message_role(message),
+                    parts=[Text(content=content)],
+                )
+            )
+    return converted
+
+
+def to_output_messages(value: Any) -> list[OutputMessage]:
+    """Convert a final DeerFlow response to a GenAI output message."""
+    if not should_capture_content():
+        return []
+    content = _message_content(value)
+    if not content:
+        return []
+    return [
+        OutputMessage(
+            role="assistant",
+            parts=[Text(content=content)],
+            finish_reason="stop",
+        )
+    ]
+
+
+def trace_id_from_sources(*sources: Any) -> str | None:
+    """Resolve DeerFlow's correlation id without treating it as an OTel id."""
+
+    def normalize(value: Any) -> str | None:
+        try:
+            from deerflow.trace_context import (  # noqa: PLC0415
+                normalize_trace_id,
+            )
+
+            return normalize_trace_id(value)
+        except (ImportError, ModuleNotFoundError):
+            return non_empty_string(value)
+
+    for source in sources:
+        if isinstance(source, dict):
+            value = source.get(DEERFLOW_TRACE_METADATA_KEY) or source.get(
+                DEERFLOW_TRACE_ID
+            )
+            text = normalize(value)
+            if text:
+                return text
+    try:
+        from deerflow.trace_context import (  # noqa: PLC0415
+            get_current_trace_id,
+        )
+
+        return non_empty_string(get_current_trace_id())
+    except Exception:  # noqa: BLE001
+        return None
+
+
+def create_entry_invocation(
+    *,
+    thread_id: Any,
+    user_id: Any,
+    agent_name: Any,
+    assistant_id: Any = None,
+    run_id: Any = None,
+    deerflow_trace_id: Any = None,
+    input_value: Any = None,
+) -> EntryInvocation:
+    """Build a DeerFlow ENTRY invocation with stable identity attributes."""
+    resolved_agent_name = non_empty_string(agent_name) or "lead-agent"
+    resolved_assistant_id = non_empty_string(assistant_id)
+    resolved_run_id = non_empty_string(run_id)
+    resolved_trace_id = non_empty_string(deerflow_trace_id)
+
+    attributes: dict[str, Any] = {
+        GEN_AI_FRAMEWORK: "deerflow",
+        GEN_AI_AGENT_NAME: resolved_agent_name,
+    }
+    if resolved_assistant_id:
+        attributes[DEERFLOW_ASSISTANT_ID] = resolved_assistant_id
+    if resolved_run_id:
+        attributes[DEERFLOW_RUN_ID] = resolved_run_id
+    if resolved_trace_id:
+        attributes[DEERFLOW_TRACE_ID] = resolved_trace_id
+
+    return EntryInvocation(
+        session_id=resolve_session_id(thread_id),
+        user_id=resolve_user_id(user_id),
+        input_messages=to_input_messages(input_value),
+        attributes=attributes,
+    )
+
+
+def has_active_host_entry() -> bool:
+    """Best-effort detection of an ENTRY created by another instrumentor."""
+    if is_entry_context_active():
+        return True
+
+    span = trace.get_current_span()
+    if getattr(span, "name", None) == "enter_ai_application_system":
+        return True
+
+    attributes = getattr(span, "attributes", None)
+    if attributes is None:
+        attributes = getattr(span, "_attributes", None)
+    if isinstance(attributes, dict):
+        return attributes.get("gen_ai.span.kind") == "ENTRY"
+    try:
+        return attributes.get("gen_ai.span.kind") == "ENTRY"
+    except (AttributeError, TypeError):
+        return False
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/package.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/package.py
new file mode 100644
index 000000000..807e494d1
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/package.py
@@ -0,0 +1,20 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# DeerFlow 2.x is installed from the official Git repository. The package
+# named deerflow-harness on PyPI is an unrelated placeholder, so dependency
+# validation must happen at runtime instead of through BaseInstrumentor.
+_instruments: tuple[str, ...] = ()
+
+_supports_metrics = False
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/version.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/version.py
new file mode 100644
index 000000000..5b84a9217
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/src/opentelemetry/instrumentation/deerflow/version.py
@@ -0,0 +1,15 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+__version__ = "0.8.0.dev"
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/conftest.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/conftest.py
new file mode 100644
index 000000000..80e43db2c
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/conftest.py
@@ -0,0 +1,69 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Test configuration for DeerFlow instrumentation."""
+
+from __future__ import annotations
+
+import os
+
+import pytest
+
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
+    InMemorySpanExporter,
+)
+from opentelemetry.util.genai.environment_variables import (
+    OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT,
+)
+from opentelemetry.util.genai.extended_handler import (
+    ExtendedTelemetryHandler,
+)
+
+
+def pytest_configure(config: pytest.Config) -> None:
+    del config
+    os.environ["OTEL_SEMCONV_STABILITY_OPT_IN"] = "gen_ai_latest_experimental"
+
+
+@pytest.fixture
+def span_exporter() -> InMemorySpanExporter:
+    return InMemorySpanExporter()
+
+
+@pytest.fixture
+def tracer_provider(span_exporter: InMemorySpanExporter) -> TracerProvider:
+    provider = TracerProvider()
+    provider.add_span_processor(SimpleSpanProcessor(span_exporter))
+    return provider
+
+
+@pytest.fixture
+def handler(tracer_provider: TracerProvider) -> ExtendedTelemetryHandler:
+    return ExtendedTelemetryHandler(tracer_provider=tracer_provider)
+
+
+@pytest.fixture
+def capture_content() -> None:
+    os.environ[OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT] = (
+        "SPAN_ONLY"
+    )
+    try:
+        yield
+    finally:
+        os.environ.pop(
+            OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT,
+            None,
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.latest.txt b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.latest.txt
new file mode 100644
index 000000000..3a16c8c60
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.latest.txt
@@ -0,0 +1,10 @@
+deerflow-harness @ git+https://github.com/bytedance/deer-flow.git@24648194aeb1488c1351b38ca65b81c08a650050#subdirectory=backend/packages/harness
+pytest
+pytest-asyncio
+wrapt<2.0.0
+
+-e opentelemetry-instrumentation
+-e util/opentelemetry-util-genai
+-e instrumentation-loongsuite/loongsuite-instrumentation-langchain
+-e instrumentation-loongsuite/loongsuite-instrumentation-langgraph
+-e instrumentation-loongsuite/loongsuite-instrumentation-deerflow
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.oldest.txt b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.oldest.txt
new file mode 100644
index 000000000..08cc3266e
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.oldest.txt
@@ -0,0 +1,10 @@
+deerflow-harness @ git+https://github.com/bytedance/deer-flow.git@7e7f0410797693cf882594555ba414e0361d4c6f#subdirectory=backend/packages/harness
+pytest
+pytest-asyncio
+wrapt<2.0.0
+
+-e opentelemetry-instrumentation
+-e util/opentelemetry-util-genai
+-e instrumentation-loongsuite/loongsuite-instrumentation-langchain
+-e instrumentation-loongsuite/loongsuite-instrumentation-langgraph
+-e instrumentation-loongsuite/loongsuite-instrumentation-deerflow
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_entry_wrappers.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_entry_wrappers.py
new file mode 100644
index 000000000..ad6254e3d
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_entry_wrappers.py
@@ -0,0 +1,874 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Focused lifecycle tests for DeerFlow application ENTRY wrappers."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import sys
+import uuid
+from concurrent.futures import ThreadPoolExecutor
+from contextvars import Context as ContextVarsContext
+from contextvars import ContextVar
+from threading import Barrier
+from types import ModuleType, SimpleNamespace
+from typing import Any
+
+import pytest
+
+from opentelemetry import baggage, context, trace
+from opentelemetry.instrumentation.deerflow.internal.constants import (
+    DEERFLOW_RUN_STATUS,
+    GEN_AI_SESSION_ID,
+    GEN_AI_USER_ID,
+)
+from opentelemetry.instrumentation.deerflow.internal.patch import (
+    _ClientStreamWrapper,
+    _GatewayRunAgentWrapper,
+)
+from opentelemetry.trace import StatusCode
+from opentelemetry.util.genai.extended_types import EntryInvocation
+
+
+class _Event:
+    def __init__(self, event_type: str, data: dict[str, Any]):
+        self.type = event_type
+        self.data = data
+
+
+class _Client:
+    _agent_name = "research-agent"
+
+
+class _DefaultClient:
+    _agent_name = None
+
+
+def _entry_spans(span_exporter):
+    return [
+        span
+        for span in span_exporter.get_finished_spans()
+        if span.attributes.get("gen_ai.span.kind") == "ENTRY"
+    ]
+
+
+def test_client_stream_uses_isolated_context_and_generated_thread_id(
+    handler,
+    tracer_provider,
+    span_exporter,
+    capture_content,
+    monkeypatch,
+):
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.internal.patch._effective_user_id",
+        lambda fallback=None: fallback or "deerflow-user",
+    )
+    observed: dict[str, Any] = {}
+
+    def stream(message, *, thread_id=None, **_kwargs):
+        observed["message"] = message
+        observed["thread_id"] = thread_id
+        observed["span_during_next"] = (
+            trace.get_current_span().get_span_context().is_valid
+        )
+        yield _Event(
+            "messages-tuple",
+            {"type": "ai", "id": "answer", "content": "hello "},
+        )
+        observed["span_during_resume"] = (
+            trace.get_current_span().get_span_context().is_valid
+        )
+        yield _Event(
+            "messages-tuple",
+            {"type": "ai", "id": "answer", "content": "world"},
+        )
+
+    wrapper = _ClientStreamWrapper(handler)
+    result = wrapper(stream, _Client(), ("question",), {})
+
+    assert not trace.get_current_span().get_span_context().is_valid
+    first = next(result)
+    assert first.data["content"] == "hello "
+    assert not trace.get_current_span().get_span_context().is_valid
+    with tracer_provider.get_tracer(__name__).start_as_current_span(
+        "consumer-between-yields"
+    ) as consumer_span:
+        consumer_context = consumer_span.get_span_context()
+    second = next(result)
+    assert second.data["content"] == "world"
+    assert list(result) == []
+    assert not trace.get_current_span().get_span_context().is_valid
+
+    assert observed["message"] == "question"
+    uuid.UUID(observed["thread_id"])
+    assert observed["span_during_next"] is True
+    assert observed["span_during_resume"] is True
+
+    entry = _entry_spans(span_exporter)[0]
+    assert consumer_context.trace_id != entry.context.trace_id
+    assert consumer_context.span_id != entry.context.span_id
+    assert entry.attributes[GEN_AI_SESSION_ID] == observed["thread_id"]
+    assert entry.attributes[GEN_AI_USER_ID] == "deerflow-user"
+    assert entry.attributes["gen_ai.framework"] == "deerflow"
+    assert entry.attributes["gen_ai.agent.name"] == "research-agent"
+    assert entry.attributes["deerflow.assistant.id"] == "research-agent"
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == "success"
+    assert entry.attributes["gen_ai.response.time_to_first_token"] >= 0
+    assert (
+        json.loads(entry.attributes["gen_ai.input.messages"])[0]["parts"][0][
+            "content"
+        ]
+        == "question"
+    )
+    assert (
+        json.loads(entry.attributes["gen_ai.output.messages"])[0]["parts"][0][
+            "content"
+        ]
+        == "hello world"
+    )
+
+
+def test_client_stream_never_consumed_does_not_create_entry(
+    handler,
+    span_exporter,
+):
+    observed = {"started": False}
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        observed["started"] = True
+        yield _Event("end", {})
+
+    result = _ClientStreamWrapper(handler)(stream, _Client(), ("q",), {})
+
+    assert observed["started"] is False
+    assert _entry_spans(span_exporter) == []
+    result.close()
+    assert observed["started"] is False
+    assert _entry_spans(span_exporter) == []
+
+
+def test_client_stream_keeps_caller_parent_when_consumed_in_other_thread(
+    handler,
+    tracer_provider,
+    span_exporter,
+):
+    tracer = tracer_provider.get_tracer(__name__)
+    wrapper = _ClientStreamWrapper(handler)
+
+    def stream(_message, *, thread_id=None):
+        assert thread_id == "cross-thread"
+        yield _Event("end", {})
+
+    with tracer.start_as_current_span("producer-caller") as caller:
+        caller_context = caller.get_span_context()
+        result = wrapper(
+            stream,
+            _Client(),
+            ("question",),
+            {"thread_id": "cross-thread"},
+        )
+
+    def consume() -> tuple[int, int]:
+        with tracer.start_as_current_span("consumer") as consumer:
+            consumer_context = consumer.get_span_context()
+            list(result)
+            return consumer_context.trace_id, consumer_context.span_id
+
+    with ThreadPoolExecutor(max_workers=1) as executor:
+        consumer_trace_id, consumer_span_id = executor.submit(consume).result(
+            timeout=10
+        )
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.context.trace_id == caller_context.trace_id
+    assert entry.parent.span_id == caller_context.span_id
+    assert entry.context.trace_id != consumer_trace_id
+    assert entry.parent.span_id != consumer_span_id
+
+
+def test_client_stream_baggage_identity_has_precedence(
+    handler,
+    span_exporter,
+    monkeypatch,
+):
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.internal.patch._effective_user_id",
+        lambda fallback=None: fallback or "deerflow-user",
+    )
+
+    def stream(_message, *, thread_id=None):
+        assert thread_id == "deerflow-thread"
+        yield _Event("end", {})
+
+    ctx = baggage.set_baggage(GEN_AI_SESSION_ID, "host-session")
+    ctx = baggage.set_baggage(GEN_AI_USER_ID, "host-user", ctx)
+    token = context.attach(ctx)
+    try:
+        result = _ClientStreamWrapper(handler)(
+            stream,
+            _Client(),
+            ("question",),
+            {"thread_id": "deerflow-thread"},
+        )
+        list(result)
+    finally:
+        context.detach(token)
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.attributes[GEN_AI_SESSION_ID] == "host-session"
+    assert entry.attributes[GEN_AI_USER_ID] == "host-user"
+
+
+def test_default_client_does_not_invent_assistant_id(handler, span_exporter):
+    result = _ClientStreamWrapper(handler)(
+        lambda *_args, **_kwargs: iter([_Event("end", {})]),
+        _DefaultClient(),
+        ("q",),
+        {},
+    )
+    list(result)
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.attributes["gen_ai.agent.name"] == "lead-agent"
+    assert "deerflow.assistant.id" not in entry.attributes
+
+
+def test_client_stream_close_interrupts_entry_without_error(
+    handler,
+    span_exporter,
+):
+    observed = {"closed": False}
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        try:
+            yield _Event("messages-tuple", {"type": "ai", "content": "x"})
+            yield _Event("end", {})
+        finally:
+            observed["closed"] = True
+
+    result = _ClientStreamWrapper(handler)(stream, _Client(), ("q",), {})
+    next(result)
+    result.close()
+
+    assert observed["closed"] is True
+    assert not trace.get_current_span().get_span_context().is_valid
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code == StatusCode.UNSET
+    assert "error.type" not in entry.attributes
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == "interrupted"
+
+
+@pytest.mark.parametrize(
+    ("exception_type", "expected_status"),
+    [
+        (ValueError, "error"),
+        (TimeoutError, "timeout"),
+    ],
+)
+def test_client_stream_exception_fails_entry_with_mapped_status(
+    exception_type,
+    expected_status,
+    handler,
+    span_exporter,
+):
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        yield _Event("messages-tuple", {"type": "ai", "content": "x"})
+        raise exception_type("stream failed")
+
+    result = _ClientStreamWrapper(handler)(stream, _Client(), ("q",), {})
+    next(result)
+    with pytest.raises(exception_type, match="stream failed"):
+        next(result)
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code == StatusCode.ERROR
+    assert entry.attributes["error.type"] == exception_type.__name__
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == expected_status
+
+
+def test_client_stream_reuses_active_host_entry(handler, span_exporter):
+    host = EntryInvocation(session_id="host")
+    handler.start_entry(host)
+    try:
+        result = _ClientStreamWrapper(handler)(
+            lambda *_args, **_kwargs: iter([_Event("end", {})]),
+            _Client(),
+            ("q",),
+            {},
+        )
+        list(result)
+    finally:
+        handler.stop_entry(host)
+
+    assert len(_entry_spans(span_exporter)) == 1
+
+
+def test_client_stream_reuses_host_entry_under_current_child_span(
+    handler,
+    tracer_provider,
+    span_exporter,
+):
+    tracer = tracer_provider.get_tracer(__name__)
+    observed = {}
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        observed["span_id"] = (
+            trace.get_current_span().get_span_context().span_id
+        )
+        yield _Event("end", {})
+
+    host = EntryInvocation(session_id="host")
+    handler.start_entry(host)
+    try:
+        with tracer.start_as_current_span("host-child") as child:
+            child_span_id = child.get_span_context().span_id
+            result = _ClientStreamWrapper(handler)(
+                stream,
+                _Client(),
+                ("q",),
+                {},
+            )
+            list(result)
+    finally:
+        handler.stop_entry(host)
+
+    assert observed["span_id"] == child_span_id
+    assert len(_entry_spans(span_exporter)) == 1
+
+
+def test_client_stream_reuses_host_entry_across_consumer_context(
+    handler,
+    tracer_provider,
+    span_exporter,
+):
+    tracer = tracer_provider.get_tracer(__name__)
+    observed = {}
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        observed["session_id"] = baggage.get_baggage(GEN_AI_SESSION_ID)
+        observed["user_id"] = baggage.get_baggage(GEN_AI_USER_ID)
+        with tracer.start_as_current_span("hosted-stream-work"):
+            yield _Event("end", {})
+
+    host = EntryInvocation(session_id="host-session", user_id="host-user")
+    handler.start_entry(host)
+    try:
+        result = _ClientStreamWrapper(handler)(
+            stream,
+            _Client(),
+            ("q",),
+            {},
+        )
+        with ThreadPoolExecutor(max_workers=1) as executor:
+            executor.submit(
+                ContextVarsContext().run,
+                lambda: list(result),
+            ).result(timeout=10)
+    finally:
+        handler.stop_entry(host)
+
+    entry = _entry_spans(span_exporter)[0]
+    work = next(
+        span
+        for span in span_exporter.get_finished_spans()
+        if span.name == "hosted-stream-work"
+    )
+    assert len(_entry_spans(span_exporter)) == 1
+    assert work.context.trace_id == entry.context.trace_id
+    assert work.parent.span_id == entry.context.span_id
+    assert observed == {
+        "session_id": "host-session",
+        "user_id": "host-user",
+    }
+
+
+def test_client_chat_reuses_stream_and_creates_one_entry(
+    handler,
+    span_exporter,
+):
+    class ChatClient:
+        _agent_name = "chat-agent"
+
+        def __init__(self):
+            self.stream_calls = 0
+            self._stream_wrapper = _ClientStreamWrapper(handler)
+
+        def _raw_stream(self, message, *, thread_id=None):
+            self.stream_calls += 1
+            assert message == "question"
+            assert thread_id == "chat-thread"
+            yield _Event(
+                "messages-tuple",
+                {"type": "ai", "id": "answer", "content": "answer"},
+            )
+
+        def stream(self, message, *, thread_id=None):
+            return self._stream_wrapper(
+                self._raw_stream,
+                self,
+                (message,),
+                {"thread_id": thread_id},
+            )
+
+        def chat(self, message, *, thread_id=None):
+            return "".join(
+                event.data.get("content", "")
+                for event in self.stream(message, thread_id=thread_id)
+            )
+
+    client = ChatClient()
+
+    assert client.chat("question", thread_id="chat-thread") == "answer"
+    assert client.stream_calls == 1
+    entries = _entry_spans(span_exporter)
+    assert len(entries) == 1
+    assert entries[0].attributes[GEN_AI_SESSION_ID] == "chat-thread"
+    assert entries[0].attributes[DEERFLOW_RUN_STATUS] == "success"
+
+
+def test_client_stream_concurrent_threads_isolate_identity_and_trace(
+    handler,
+    tracer_provider,
+    span_exporter,
+):
+    barrier = Barrier(2)
+    wrapper = _ClientStreamWrapper(handler)
+    tracer = tracer_provider.get_tracer(__name__)
+
+    def consume(suffix: str) -> None:
+        ctx = baggage.set_baggage(
+            GEN_AI_SESSION_ID,
+            f"baggage-session-{suffix}",
+        )
+        ctx = baggage.set_baggage(
+            GEN_AI_USER_ID,
+            f"baggage-user-{suffix}",
+            ctx,
+        )
+        token = context.attach(ctx)
+        try:
+
+            def stream(_message, *, thread_id=None):
+                assert thread_id == f"deerflow-thread-{suffix}"
+                barrier.wait(timeout=5)
+                with tracer.start_as_current_span(f"embedded-child-{suffix}"):
+                    yield _Event("end", {})
+
+            result = wrapper(
+                stream,
+                _Client(),
+                (f"question-{suffix}",),
+                {"thread_id": f"deerflow-thread-{suffix}"},
+            )
+            list(result)
+            assert not trace.get_current_span().get_span_context().is_valid
+        finally:
+            context.detach(token)
+
+    with ThreadPoolExecutor(max_workers=2) as executor:
+        futures = [executor.submit(consume, suffix) for suffix in ("a", "b")]
+        for future in futures:
+            future.result(timeout=10)
+
+    entries = {
+        span.attributes[GEN_AI_SESSION_ID]: span
+        for span in _entry_spans(span_exporter)
+    }
+    children = {
+        span.name.removeprefix("embedded-child-"): span
+        for span in span_exporter.get_finished_spans()
+        if span.name.startswith("embedded-child-")
+    }
+    assert set(entries) == {"baggage-session-a", "baggage-session-b"}
+    assert set(children) == {"a", "b"}
+    assert len({entry.context.trace_id for entry in entries.values()}) == 2
+
+    for suffix in ("a", "b"):
+        entry = entries[f"baggage-session-{suffix}"]
+        child = children[suffix]
+        assert entry.attributes[GEN_AI_USER_ID] == f"baggage-user-{suffix}"
+        assert child.context.trace_id == entry.context.trace_id
+        assert child.parent.span_id == entry.context.span_id
+
+
+def test_client_stream_records_ttft_for_empty_tool_call_event_without_capture(
+    handler,
+    span_exporter,
+    monkeypatch,
+):
+    monkeypatch.delenv(
+        "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT",
+        raising=False,
+    )
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        yield _Event(
+            "messages-tuple",
+            {
+                "type": "ai",
+                "id": "tool-decision",
+                "content": "",
+                "tool_calls": [{"name": "lookup", "id": "call-1"}],
+            },
+        )
+
+    result = _ClientStreamWrapper(handler)(stream, _Client(), ("q",), {})
+    list(result)
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.attributes["gen_ai.response.time_to_first_token"] >= 0
+    assert "gen_ai.output.messages" not in entry.attributes
+
+
+def test_client_stream_generates_and_isolates_correlation_id(
+    handler,
+    span_exporter,
+    monkeypatch,
+):
+    current_trace_id: ContextVar[str | None] = ContextVar(
+        "fake_deerflow_trace_id",
+        default=None,
+    )
+    generated_trace_id = "generated-correlation-id"
+
+    trace_context_module = ModuleType("deerflow.trace_context")
+    trace_context_module.get_current_trace_id = current_trace_id.get
+    trace_context_module.generate_trace_id = lambda: generated_trace_id
+    trace_context_module.set_current_trace_id = current_trace_id.set
+    trace_context_module.reset_current_trace_id = current_trace_id.reset
+    app_config_module = ModuleType("deerflow.config.app_config")
+    app_config_module.is_trace_correlation_enabled = lambda _config: True
+    monkeypatch.setitem(
+        sys.modules,
+        "deerflow.trace_context",
+        trace_context_module,
+    )
+    monkeypatch.setitem(
+        sys.modules,
+        "deerflow.config.app_config",
+        app_config_module,
+    )
+
+    observed = {}
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        observed["inner_trace_id"] = current_trace_id.get()
+        yield _Event("end", {})
+
+    client = SimpleNamespace(
+        _agent_name="research-agent",
+        _app_config=object(),
+    )
+    assert current_trace_id.get() is None
+    result = _ClientStreamWrapper(handler)(stream, client, ("q",), {})
+    assert current_trace_id.get() is None
+    list(result)
+
+    entry = _entry_spans(span_exporter)[0]
+    assert observed["inner_trace_id"] == generated_trace_id
+    assert entry.attributes["deerflow.trace.id"] == generated_trace_id
+    assert current_trace_id.get() is None
+
+
+@pytest.mark.parametrize("failure", ["resolve", "bind", "reset"])
+def test_client_trace_correlation_failure_does_not_break_stream(
+    failure,
+    handler,
+    span_exporter,
+    monkeypatch,
+    caplog,
+):
+    caplog.set_level(
+        logging.DEBUG,
+        logger="opentelemetry.instrumentation.deerflow.internal.patch",
+    )
+
+    def fail() -> None:
+        raise RuntimeError(f"{failure} failed")
+
+    trace_context_module = ModuleType("deerflow.trace_context")
+    trace_context_module.get_current_trace_id = lambda: None
+    trace_context_module.generate_trace_id = (
+        fail if failure == "resolve" else lambda: "correlation-id"
+    )
+    trace_context_module.set_current_trace_id = (
+        (lambda _trace_id: fail())
+        if failure == "bind"
+        else lambda _trace_id: object()
+    )
+    trace_context_module.reset_current_trace_id = (
+        (lambda _token: fail()) if failure == "reset" else lambda _token: None
+    )
+    app_config_module = ModuleType("deerflow.config.app_config")
+    app_config_module.is_trace_correlation_enabled = lambda _config: True
+    monkeypatch.setitem(
+        sys.modules,
+        "deerflow.trace_context",
+        trace_context_module,
+    )
+    monkeypatch.setitem(
+        sys.modules,
+        "deerflow.config.app_config",
+        app_config_module,
+    )
+
+    def stream(_message, *, thread_id=None):
+        del thread_id
+        yield _Event("end", {})
+
+    client = SimpleNamespace(
+        _agent_name="research-agent",
+        _app_config=object(),
+    )
+    list(_ClientStreamWrapper(handler)(stream, client, ("q",), {}))
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code is StatusCode.UNSET
+    if failure == "resolve":
+        assert "deerflow.trace.id" not in entry.attributes
+    else:
+        assert entry.attributes["deerflow.trace.id"] == "correlation-id"
+    expected_log = {
+        "resolve": "Failed to resolve DeerFlow trace correlation id",
+        "bind": "Failed to bind DeerFlow trace correlation id",
+        "reset": "Failed to reset DeerFlow trace context",
+    }[failure]
+    assert expected_log in caplog.messages
+
+
+@pytest.mark.asyncio
+async def test_gateway_entry_uses_mutated_success_status(
+    handler,
+    tracer_provider,
+    span_exporter,
+    capture_content,
+    monkeypatch,
+):
+    def resolve_runtime_user_id(runtime):
+        return runtime.context.get("user_id", "effective-user")
+
+    deerflow_module = ModuleType("deerflow")
+    runtime_module = ModuleType("deerflow.runtime")
+    user_context_module = ModuleType("deerflow.runtime.user_context")
+    user_context_module.resolve_runtime_user_id = resolve_runtime_user_id
+    deerflow_module.runtime = runtime_module
+    runtime_module.user_context = user_context_module
+    monkeypatch.setitem(sys.modules, "deerflow", deerflow_module)
+    monkeypatch.setitem(sys.modules, "deerflow.runtime", runtime_module)
+    monkeypatch.setitem(
+        sys.modules,
+        "deerflow.runtime.user_context",
+        user_context_module,
+    )
+    record = SimpleNamespace(
+        run_id="run-1",
+        thread_id="thread-1",
+        assistant_id="assistant-1",
+        user_id="stale-record-user",
+        metadata={"deerflow_trace_id": "trace-1"},
+        status="pending",
+        error=None,
+        last_ai_message=None,
+    )
+
+    async def run_agent(_bridge, _manager, mutable_record, **_kwargs):
+        tracer = tracer_provider.get_tracer(__name__)
+        with tracer.start_as_current_span("gateway-child"):
+            pass
+        mutable_record.status = "success"
+        mutable_record.last_ai_message = "finished"
+
+    wrapper = _GatewayRunAgentWrapper(handler)
+    await wrapper(
+        run_agent,
+        None,
+        (None, None, record),
+        {
+            "graph_input": {"messages": [{"role": "user", "content": "go"}]},
+            "config": {
+                "context": {"user_id": "runtime-user"},
+                "run_name": "configured-agent",
+            },
+        },
+    )
+
+    entry = _entry_spans(span_exporter)[0]
+    child = next(
+        span
+        for span in span_exporter.get_finished_spans()
+        if span.name == "gateway-child"
+    )
+    assert child.parent.span_id == entry.context.span_id
+    assert entry.status.status_code != StatusCode.ERROR
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == "success"
+    assert entry.attributes["deerflow.assistant.id"] == "assistant-1"
+    assert entry.attributes["deerflow.run.id"] == "run-1"
+    assert entry.attributes["deerflow.trace.id"] == "trace-1"
+    assert entry.attributes[GEN_AI_SESSION_ID] == "thread-1"
+    assert entry.attributes[GEN_AI_USER_ID] == "runtime-user"
+    assert entry.attributes["gen_ai.agent.name"] == "configured-agent"
+    assert (
+        json.loads(entry.attributes["gen_ai.output.messages"])[0]["parts"][0][
+            "content"
+        ]
+        == "finished"
+    )
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    ("status", "error_type"),
+    [
+        ("error", "DeerFlowRunError"),
+        ("timeout", "DeerFlowRunTimeout"),
+    ],
+)
+async def test_gateway_terminal_status_fails_entry(
+    status,
+    error_type,
+    handler,
+    span_exporter,
+):
+    record = SimpleNamespace(
+        run_id="run-1",
+        thread_id="thread-1",
+        assistant_id=None,
+        user_id=None,
+        metadata={},
+        status="running",
+        error="terminal status",
+    )
+
+    async def run_agent(_bridge, _manager, mutable_record, **_kwargs):
+        mutable_record.status = status
+
+    await _GatewayRunAgentWrapper(handler)(
+        run_agent,
+        None,
+        (None, None, record),
+        {"graph_input": {}, "config": {}},
+    )
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code == StatusCode.ERROR
+    assert entry.attributes["error.type"] == error_type
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == status
+
+
+@pytest.mark.asyncio
+async def test_gateway_interrupted_status_stops_entry_without_error(
+    handler,
+    span_exporter,
+):
+    record = SimpleNamespace(
+        run_id="run-interrupted",
+        thread_id="thread-interrupted",
+        assistant_id=None,
+        user_id=None,
+        metadata={},
+        status="running",
+        error=None,
+    )
+
+    async def run_agent(_bridge, _manager, mutable_record, **_kwargs):
+        mutable_record.status = "interrupted"
+
+    await _GatewayRunAgentWrapper(handler)(
+        run_agent,
+        None,
+        (None, None, record),
+        {"graph_input": {}, "config": {}},
+    )
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code == StatusCode.UNSET
+    assert "error.type" not in entry.attributes
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == "interrupted"
+
+
+@pytest.mark.asyncio
+async def test_gateway_cancellation_interrupts_entry_without_error(
+    handler,
+    span_exporter,
+):
+    record = SimpleNamespace(
+        run_id="run-cancelled",
+        thread_id="thread-cancelled",
+        assistant_id=None,
+        metadata={},
+        status="running",
+        error=None,
+    )
+
+    async def run_agent(_bridge, _manager, mutable_record, **_kwargs):
+        mutable_record.status = "interrupted"
+        raise asyncio.CancelledError
+
+    with pytest.raises(asyncio.CancelledError):
+        await _GatewayRunAgentWrapper(handler)(
+            run_agent,
+            None,
+            (None, None, record),
+            {"graph_input": {}, "config": {}},
+        )
+
+    entry = _entry_spans(span_exporter)[0]
+    assert entry.status.status_code == StatusCode.UNSET
+    assert "error.type" not in entry.attributes
+    assert entry.attributes[DEERFLOW_RUN_STATUS] == "interrupted"
+
+
+@pytest.mark.asyncio
+async def test_gateway_reuses_active_host_entry(handler, span_exporter):
+    record = SimpleNamespace(
+        run_id="run-hosted",
+        thread_id="thread-hosted",
+        assistant_id=None,
+        metadata={},
+        status="running",
+        error=None,
+    )
+    observed = {}
+
+    async def run_agent(_bridge, _manager, mutable_record, **_kwargs):
+        observed["span_id"] = (
+            trace.get_current_span().get_span_context().span_id
+        )
+        mutable_record.status = "success"
+
+    host = EntryInvocation(session_id="host-session")
+    handler.start_entry(host)
+    try:
+        host_span_id = trace.get_current_span().get_span_context().span_id
+        await _GatewayRunAgentWrapper(handler)(
+            run_agent,
+            None,
+            (None, None, record),
+            {"graph_input": {}, "config": {}},
+        )
+    finally:
+        handler.stop_entry(host)
+
+    assert observed["span_id"] == host_span_id
+    assert len(_entry_spans(span_exporter)) == 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_instrumentor.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_instrumentor.py
new file mode 100644
index 000000000..0759dcbd7
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_instrumentor.py
@@ -0,0 +1,463 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Instrumentor, version guard, and graph marker tests."""
+
+from __future__ import annotations
+
+import importlib
+import inspect
+import subprocess
+import sys
+from importlib.metadata import (
+    PackageNotFoundError,
+)
+from importlib.metadata import (
+    version as distribution_version,
+)
+from types import ModuleType
+
+import pytest
+from packaging.version import Version
+
+from opentelemetry.instrumentation.deerflow import (
+    DeerFlowInstrumentor,
+    _deerflow_runtime_supported,
+)
+from opentelemetry.instrumentation.deerflow.internal.constants import (
+    AGENT_FRAMEWORK_ATTR,
+    AGENT_STEP_NODE_ATTR,
+    GATEWAY_RUN_AGENT_ALIASES,
+)
+from opentelemetry.instrumentation.deerflow.internal.patch import (
+    _create_agent_alias_wrapper,
+    instrument_deerflow,
+    mark_deerflow_graph,
+    uninstrument_deerflow,
+)
+from opentelemetry.instrumentation.deerflow.package import _instruments
+
+
+class _Graph:
+    pass
+
+
+def _wrapper_modules(value):
+    modules = []
+    seen = set()
+    while hasattr(value, "__wrapped__") and id(value) not in seen:
+        seen.add(id(value))
+        wrapper = getattr(value, "_self_wrapper", None)
+        modules.append(getattr(wrapper, "__module__", None))
+        value = value.__wrapped__
+    return modules
+
+
+def test_has_no_pypi_target_library_dependency():
+    assert _instruments == ()
+    assert DeerFlowInstrumentor().instrumentation_dependencies() == ()
+
+
+def test_official_source_distribution_and_gateway_signature_are_supported():
+    assert Version("2") <= Version(distribution_version("deerflow-harness"))
+    assert Version(distribution_version("deerflow-harness")) < Version("3")
+    assert _deerflow_runtime_supported() is True
+
+    run_agent = importlib.import_module(
+        "deerflow.runtime.runs.worker"
+    ).run_agent
+    parameters = inspect.signature(inspect.unwrap(run_agent)).parameters
+    assert list(parameters)[:3] == ["bridge", "run_manager", "record"]
+    assert parameters["graph_input"].kind is inspect.Parameter.KEYWORD_ONLY
+    assert parameters["config"].kind is inspect.Parameter.KEYWORD_ONLY
+
+
+def test_probe_first_cold_start_wraps_each_deerflow_alias_once():
+    script = """
+import importlib
+import sys
+
+assert not any(name == "deerflow" or name.startswith("deerflow.") for name in sys.modules)
+
+from opentelemetry.instrumentation.deerflow import DeerFlowInstrumentor
+from opentelemetry.instrumentation.deerflow.internal.constants import (
+    CREATE_AGENT_ALIASES,
+    GATEWAY_RUN_AGENT_ALIASES,
+)
+
+
+def wrapper_depth(value):
+    depth = 0
+    seen = set()
+    while hasattr(value, "__wrapped__") and id(value) not in seen:
+        seen.add(id(value))
+        value = value.__wrapped__
+        depth += 1
+    return depth
+
+
+def wrapper_modules(value):
+    modules = []
+    seen = set()
+    while hasattr(value, "__wrapped__") and id(value) not in seen:
+        seen.add(id(value))
+        wrapper = getattr(value, "_self_wrapper", None)
+        modules.append(getattr(wrapper, "__module__", None))
+        value = value.__wrapped__
+    return modules
+
+
+instrumentor = DeerFlowInstrumentor()
+instrumentor.instrument()
+assert instrumentor.is_instrumented_by_opentelemetry
+
+aliases = (*CREATE_AGENT_ALIASES, *GATEWAY_RUN_AGENT_ALIASES)
+for module_name, target in aliases:
+    module = importlib.import_module(module_name)
+    value = getattr(module, target)
+    modules = wrapper_modules(value)
+    assert modules.count(
+        "opentelemetry.instrumentation.deerflow.internal.patch"
+    ) == 1, (module_name, target, modules)
+    expected_depth = 2 if (module_name, target) in CREATE_AGENT_ALIASES else 1
+    assert wrapper_depth(value) == expected_depth, (module_name, target, modules)
+
+instrumentor.uninstrument()
+for module_name, target in aliases:
+    module = importlib.import_module(module_name)
+    assert wrapper_depth(getattr(module, target)) == 0, (module_name, target)
+"""
+    result = subprocess.run(  # noqa: S603
+        [sys.executable, "-c", script],
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+
+    assert result.returncode == 0, result.stdout + result.stderr
+
+
+@pytest.mark.parametrize(
+    ("installed_version", "supported"),
+    [
+        ("1.9.9", False),
+        ("2.0.0", True),
+        ("2.1.0", True),
+        ("3.0.0", False),
+    ],
+)
+def test_runtime_version_guard(
+    installed_version,
+    supported,
+    monkeypatch,
+):
+    real_import = importlib.import_module
+
+    def import_module(name):
+        if name == "deerflow":
+            return object()
+        return real_import(name)
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.importlib.import_module",
+        import_module,
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.version",
+        lambda _distribution: installed_version,
+    )
+
+    assert _deerflow_runtime_supported() is supported
+
+
+def test_runtime_guard_silently_skips_failed_deerflow_import(monkeypatch):
+    missing_dependency = ModuleNotFoundError("missing DeerFlow dependency")
+    missing_dependency.name = "deerflow_optional_dependency"
+
+    def fail_import(_name):
+        raise missing_dependency
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.importlib.import_module",
+        fail_import,
+    )
+
+    assert _deerflow_runtime_supported() is False
+
+
+def test_runtime_guard_silently_skips_missing_distribution_metadata(
+    monkeypatch,
+):
+    real_import = importlib.import_module
+
+    def import_module(name):
+        if name == "deerflow":
+            return object()
+        return real_import(name)
+
+    def missing_distribution(_distribution):
+        raise PackageNotFoundError
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.importlib.import_module",
+        import_module,
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.version",
+        missing_distribution,
+    )
+
+    assert _deerflow_runtime_supported() is False
+
+
+def test_instrument_rolls_back_started_dependency_on_setup_error(monkeypatch):
+    class StartedDependency:
+        def __init__(self):
+            self.uninstrument_calls = 0
+
+        def uninstrument(self):
+            self.uninstrument_calls += 1
+
+    dependency = StartedDependency()
+    dependency_calls = 0
+    deerflow_uninstrument_calls = 0
+
+    def instrument_dependency(*_args, **_kwargs):
+        nonlocal dependency_calls
+        dependency_calls += 1
+        if dependency_calls == 1:
+            return dependency
+        raise RuntimeError("dependency setup failed")
+
+    def uninstrument_patches():
+        nonlocal deerflow_uninstrument_calls
+        deerflow_uninstrument_calls += 1
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow._deerflow_runtime_supported",
+        lambda: True,
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow._instrument_dependency",
+        instrument_dependency,
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.uninstrument_deerflow",
+        uninstrument_patches,
+    )
+
+    instrumentor = DeerFlowInstrumentor()
+    with pytest.raises(RuntimeError, match="dependency setup failed"):
+        instrumentor._instrument()
+
+    assert dependency.uninstrument_calls == 1
+    assert deerflow_uninstrument_calls == 1
+    assert instrumentor._dependency_instrumentors == []
+    assert instrumentor._deerflow_patched is False
+
+
+def test_uninstrument_cleans_owned_dependencies_and_aliases(monkeypatch):
+    events = []
+
+    langchain_dependency_type = type(
+        "LangChainInstrumentor",
+        (),
+        {
+            "__module__": "opentelemetry.instrumentation.langchain",
+            "uninstrument": lambda self: events.append("langchain"),
+        },
+    )
+    other_dependency_type = type(
+        "OtherInstrumentor",
+        (),
+        {"uninstrument": lambda self: events.append("other")},
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.uninstrument_deerflow",
+        lambda: events.append("deerflow"),
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.remove_owned_langchain_alias_wrappers",
+        lambda: events.append("aliases"),
+    )
+    instrumentor = DeerFlowInstrumentor()
+    instrumentor._deerflow_patched = True
+    instrumentor._dependency_instrumentors = [
+        langchain_dependency_type(),
+        other_dependency_type(),
+    ]
+
+    instrumentor._uninstrument()
+
+    assert events == ["deerflow", "other", "langchain", "aliases"]
+    assert instrumentor._deerflow_patched is False
+    assert instrumentor._dependency_instrumentors == []
+
+
+def test_uninstrument_continues_when_dependency_cleanup_fails(monkeypatch):
+    events = []
+
+    class FailingDependency:
+        def uninstrument(self):
+            events.append("failing")
+            raise RuntimeError("cleanup failed")
+
+    class HealthyDependency:
+        def uninstrument(self):
+            events.append("healthy")
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.deerflow.uninstrument_deerflow",
+        lambda: events.append("deerflow"),
+    )
+    instrumentor = DeerFlowInstrumentor()
+    instrumentor._deerflow_patched = True
+    instrumentor._dependency_instrumentors = [
+        HealthyDependency(),
+        FailingDependency(),
+    ]
+
+    instrumentor._uninstrument()
+
+    assert events == ["deerflow", "failing", "healthy"]
+    assert instrumentor._dependency_instrumentors == []
+
+
+def test_create_agent_alias_marks_only_deerflow_semantics():
+    graph = _Graph()
+    graph._loongsuite_react_agent = True
+    result = _create_agent_alias_wrapper(
+        lambda: graph,
+        None,
+        (),
+        {},
+    )
+
+    assert result is graph
+    assert getattr(graph, AGENT_FRAMEWORK_ATTR) == "deerflow"
+    assert getattr(graph, AGENT_STEP_NODE_ATTR) == "model"
+    assert not hasattr(graph, "_loongsuite_react_agent")
+    assert not hasattr(graph, "_loongsuite_deepagents_agent")
+
+    uninstrument_deerflow()
+    assert not hasattr(graph, AGENT_FRAMEWORK_ATTR)
+    assert not hasattr(graph, AGENT_STEP_NODE_ATTR)
+    assert graph._loongsuite_react_agent is True
+
+
+def test_uninstrument_restores_previous_graph_semantics():
+    graph = _Graph()
+    setattr(graph, AGENT_FRAMEWORK_ATTR, "custom-framework")
+    setattr(graph, AGENT_STEP_NODE_ATTR, "custom-step")
+
+    mark_deerflow_graph(graph)
+    assert getattr(graph, AGENT_FRAMEWORK_ATTR) == "deerflow"
+    assert getattr(graph, AGENT_STEP_NODE_ATTR) == "model"
+
+    uninstrument_deerflow()
+    assert getattr(graph, AGENT_FRAMEWORK_ATTR) == "custom-framework"
+    assert getattr(graph, AGENT_STEP_NODE_ATTR) == "custom-step"
+
+
+def test_gateway_aliases_are_wrapped_and_restored(
+    handler,
+    monkeypatch,
+):
+    real_aliases = []
+    for module_name, target in GATEWAY_RUN_AGENT_ALIASES:
+        module = importlib.import_module(module_name)
+        real_aliases.append((module, target, getattr(module, target)))
+
+    async def service_run_agent(*_args, **_kwargs):
+        return None
+
+    app_module = ModuleType("app")
+    app_module.__path__ = []
+    gateway_module = ModuleType("app.gateway")
+    gateway_module.__path__ = []
+    services_module = ModuleType("app.gateway.services")
+    services_module.run_agent = service_run_agent
+    app_module.gateway = gateway_module
+    gateway_module.services = services_module
+    monkeypatch.setitem(sys.modules, "app", app_module)
+    monkeypatch.setitem(sys.modules, "app.gateway", gateway_module)
+    monkeypatch.setitem(
+        sys.modules,
+        "app.gateway.services",
+        services_module,
+    )
+
+    try:
+        assert instrument_deerflow(handler) is True
+        for module, target, original in real_aliases:
+            wrapped = getattr(module, target)
+            assert wrapped is not original
+            assert inspect.unwrap(wrapped) is original
+
+        assert services_module.run_agent is not service_run_agent
+        assert inspect.unwrap(services_module.run_agent) is service_run_agent
+    finally:
+        uninstrument_deerflow()
+
+    for module, target, original in real_aliases:
+        assert getattr(module, target) is original
+    assert services_module.run_agent is service_run_agent
+
+
+def test_direct_instrumentation_is_idempotent(handler):
+    module = importlib.import_module("deerflow.agents.factory")
+    target = "create_agent"
+
+    try:
+        assert instrument_deerflow(handler) is True
+        first_modules = _wrapper_modules(getattr(module, target))
+
+        assert instrument_deerflow(handler) is False
+        second_modules = _wrapper_modules(getattr(module, target))
+
+        assert first_modules == second_modules
+        assert (
+            second_modules.count(
+                "opentelemetry.instrumentation.deerflow.internal.patch"
+            )
+            == 1
+        )
+    finally:
+        uninstrument_deerflow()
+
+
+def test_late_loaded_gateway_alias_is_restored(handler, monkeypatch):
+    monkeypatch.delitem(sys.modules, "app.gateway.services", raising=False)
+    runtime_module = importlib.import_module("deerflow.runtime")
+    original = runtime_module.run_agent
+
+    try:
+        assert instrument_deerflow(handler) is True
+        late_alias = runtime_module.run_agent
+        assert late_alias is not original
+
+        services_module = ModuleType("app.gateway.services")
+        services_module.run_agent = late_alias
+        monkeypatch.setitem(
+            sys.modules,
+            "app.gateway.services",
+            services_module,
+        )
+
+        uninstrument_deerflow()
+
+        assert runtime_module.run_agent is original
+        assert services_module.run_agent is original
+    finally:
+        uninstrument_deerflow()
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_runtime_graph.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_runtime_graph.py
new file mode 100644
index 000000000..08feeafc1
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_runtime_graph.py
@@ -0,0 +1,491 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Runtime matrix against the pinned official DeerFlow 2.x source."""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from typing import Any, Optional
+
+import pytest
+from pydantic import PrivateAttr
+
+from opentelemetry.instrumentation.deerflow import DeerFlowInstrumentor
+from opentelemetry.instrumentation.langchain import LangChainInstrumentor
+from opentelemetry.instrumentation.langgraph import LangGraphInstrumentor
+from opentelemetry.trace import StatusCode
+
+deerflow = pytest.importorskip("deerflow")
+
+from deerflow.agents.factory import create_deerflow_agent  # noqa: E402
+from langchain_core.callbacks import CallbackManagerForLLMRun  # noqa: E402
+from langchain_core.language_models.chat_models import (  # noqa: E402
+    BaseChatModel,
+)
+from langchain_core.messages import AIMessage, BaseMessage  # noqa: E402
+from langchain_core.outputs import ChatGeneration, ChatResult  # noqa: E402
+from langchain_core.tools import tool  # noqa: E402
+from langgraph.errors import GraphRecursionError  # noqa: E402
+
+
+def _final_message(content: str = "finished") -> AIMessage:
+    return AIMessage(
+        content=content,
+        response_metadata={"finish_reason": "stop"},
+    )
+
+
+def _tool_call_message(
+    tool_name: str,
+    *,
+    call_id: str = "call-1",
+    args: dict[str, Any] | None = None,
+) -> AIMessage:
+    return AIMessage(
+        content="",
+        tool_calls=[
+            {
+                "name": tool_name,
+                "args": args or {},
+                "id": call_id,
+                "type": "tool_call",
+            }
+        ],
+        response_metadata={"finish_reason": "tool_calls"},
+    )
+
+
+class _ScriptedChatModel(BaseChatModel):
+    """Small deterministic model supporting sync, stream, and async graphs."""
+
+    _responses: list[AIMessage | BaseException] = PrivateAttr()
+    _repeat_tool_name: str | None = PrivateAttr()
+    _calls: int = PrivateAttr(default=0)
+
+    def __init__(
+        self,
+        responses: Sequence[AIMessage | BaseException] = (),
+        *,
+        repeat_tool_name: str | None = None,
+    ) -> None:
+        super().__init__()
+        self._responses = list(responses)
+        self._repeat_tool_name = repeat_tool_name
+
+    @property
+    def _llm_type(self) -> str:
+        return "fake-deerflow"
+
+    @property
+    def _identifying_params(self) -> dict:
+        return {}
+
+    def bind_tools(self, tools, **kwargs):
+        del tools, kwargs
+        return self
+
+    def _next_response(self) -> AIMessage:
+        self._calls += 1
+        if self._responses:
+            response = self._responses.pop(0)
+            if isinstance(response, BaseException):
+                raise response
+            return response
+        if self._repeat_tool_name is not None:
+            return _tool_call_message(
+                self._repeat_tool_name,
+                call_id=f"call-{self._calls}",
+            )
+        return _final_message()
+
+    def _generate(
+        self,
+        messages: list[BaseMessage],
+        stop: Optional[list[str]] = None,
+        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        **kwargs: Any,
+    ) -> ChatResult:
+        del messages, stop, run_manager, kwargs
+        message = self._next_response()
+        finish_reason = message.response_metadata.get(
+            "finish_reason",
+            "stop",
+        )
+        return ChatResult(
+            generations=[
+                ChatGeneration(
+                    message=message,
+                    generation_info={"finish_reason": finish_reason},
+                )
+            ],
+            llm_output={"model_name": "fake-deerflow"},
+        )
+
+
+class _ProviderCallbackRecorder:
+    """Record provider-style callbacks without contacting either backend."""
+
+    def __init__(self) -> None:
+        self.events: list[tuple[str, dict[str, Any] | None]] = []
+        # LangGraph recognizes LangSmith tracers by type and reads this map.
+        self.run_map: dict[str, Any] = {}
+
+    def copy_with_metadata_defaults(self, **_kwargs: Any):
+        """Keep provider callback copies local and network-free in tests."""
+        return self
+
+    def _record(self, event: str, kwargs: dict[str, Any]) -> None:
+        metadata = kwargs.get("metadata")
+        self.events.append(
+            (event, metadata if isinstance(metadata, dict) else None)
+        )
+
+    def on_chain_start(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("chain_start", kwargs)
+
+    def on_chain_end(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("chain_end", kwargs)
+
+    def on_chain_error(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("chain_error", kwargs)
+
+    def on_chat_model_start(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("chat_model_start", kwargs)
+
+    def on_llm_start(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("llm_start", kwargs)
+
+    def on_llm_end(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("llm_end", kwargs)
+
+    def on_llm_error(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("llm_error", kwargs)
+
+    def on_tool_start(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("tool_start", kwargs)
+
+    def on_tool_end(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("tool_end", kwargs)
+
+    def on_tool_error(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("tool_error", kwargs)
+
+    def on_agent_action(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("agent_action", kwargs)
+
+    def on_agent_finish(self, *args: Any, **kwargs: Any) -> None:
+        del args
+        self._record("agent_finish", kwargs)
+
+
+@tool
+def lookup(query: str) -> str:
+    """Look up a deterministic test value."""
+    return f"result:{query}"
+
+
+@tool
+def fail_tool() -> str:
+    """Fail deterministically for lifecycle verification."""
+    raise ValueError("tool failed")
+
+
+@tool
+def ping() -> str:
+    """Return a deterministic value for recursion tests."""
+    return "pong"
+
+
+@pytest.fixture
+def instrumented_deerflow(tracer_provider):
+    instrumentor = DeerFlowInstrumentor()
+    instrumentor.instrument(tracer_provider=tracer_provider)
+    try:
+        yield
+    finally:
+        if instrumentor.is_instrumented_by_opentelemetry:
+            instrumentor.uninstrument()
+
+
+def _spans_of_kind(spans, kind: str):
+    return [
+        span
+        for span in spans
+        if span.attributes.get("gen_ai.span.kind") == kind
+    ]
+
+
+def _is_descendant(child, ancestor, spans) -> bool:
+    spans_by_id = {span.context.span_id: span for span in spans}
+    parent = child.parent
+    while parent is not None:
+        if parent.span_id == ancestor.context.span_id:
+            return True
+        parent_span = spans_by_id.get(parent.span_id)
+        parent = parent_span.parent if parent_span is not None else None
+    return False
+
+
+def _assert_direct_sdk_tree(spans, *, model_decisions: int) -> None:
+    assert _spans_of_kind(spans, "ENTRY") == []
+
+    agents = _spans_of_kind(spans, "AGENT")
+    steps = _spans_of_kind(spans, "STEP")
+    llms = _spans_of_kind(spans, "LLM")
+    assert len(agents) == 1
+    assert len(steps) == model_decisions
+    assert len(llms) == model_decisions
+
+    agent = agents[0]
+    assert agent.parent is None
+    assert agent.attributes["gen_ai.framework"] == "deerflow"
+    assert agent.attributes["gen_ai.agent.name"] == "sdk-agent"
+    assert all(step.parent.span_id == agent.context.span_id for step in steps)
+    assert all(
+        sum(_is_descendant(llm, step, spans) for step in steps) == 1
+        for llm in llms
+    )
+
+
+def _new_graph(model, tools=None):
+    return create_deerflow_agent(
+        model=model,
+        tools=tools,
+        middleware=[],
+        name="sdk-agent",
+    )
+
+
+@pytest.mark.parametrize("operation", ["invoke", "stream"])
+def test_direct_sdk_sync_operations_have_agent_step_without_entry(
+    operation,
+    instrumented_deerflow,
+    span_exporter,
+):
+    graph = _new_graph(_ScriptedChatModel([_final_message()]))
+
+    if operation == "invoke":
+        graph.invoke({"messages": [{"role": "user", "content": "hello"}]})
+    else:
+        list(
+            graph.stream({"messages": [{"role": "user", "content": "hello"}]})
+        )
+
+    assert getattr(graph, "_loongsuite_agent_framework") == "deerflow"
+    assert getattr(graph, "_loongsuite_agent_step_node") == "model"
+    _assert_direct_sdk_tree(
+        span_exporter.get_finished_spans(),
+        model_decisions=1,
+    )
+
+
+def test_langsmith_and_langfuse_callbacks_keep_user_config(
+    instrumented_deerflow,
+    span_exporter,
+):
+    langfuse_langchain = pytest.importorskip("langfuse.langchain")
+    from langchain_core.tracers.langchain import (  # noqa: PLC0415
+        LangChainTracer,
+    )
+
+    class _LangSmithRecorder(_ProviderCallbackRecorder, LangChainTracer):
+        pass
+
+    class _LangfuseRecorder(
+        _ProviderCallbackRecorder,
+        langfuse_langchain.CallbackHandler,
+    ):
+        pass
+
+    langsmith_callback = _LangSmithRecorder()
+    langfuse_callback = _LangfuseRecorder()
+    callbacks = [langsmith_callback, langfuse_callback]
+    metadata = {
+        "customer": "kept",
+        "langfuse_trace_name": "deerflow-coexistence",
+    }
+    config = {"callbacks": callbacks, "metadata": metadata}
+    graph = _new_graph(_ScriptedChatModel([_final_message()]))
+
+    graph.invoke(
+        {"messages": [{"role": "user", "content": "hello"}]},
+        config=config,
+    )
+
+    assert config["callbacks"] is callbacks
+    assert config["metadata"] is metadata
+    assert "_loongsuite_agent_framework" not in metadata
+    assert "_loongsuite_agent_step_node" not in metadata
+    for callback in callbacks:
+        assert callback.events
+        assert any(
+            event_metadata is not None
+            and event_metadata.get("customer") == "kept"
+            for _, event_metadata in callback.events
+        )
+    _assert_direct_sdk_tree(
+        span_exporter.get_finished_spans(),
+        model_decisions=1,
+    )
+
+
+def test_dependency_instrumentors_do_not_duplicate_agent_or_step(
+    tracer_provider,
+    span_exporter,
+):
+    langchain_instrumentor = LangChainInstrumentor()
+    langgraph_instrumentor = LangGraphInstrumentor()
+    deerflow_instrumentor = DeerFlowInstrumentor()
+    langchain_instrumentor.instrument(tracer_provider=tracer_provider)
+    langgraph_instrumentor.instrument()
+    deerflow_instrumentor.instrument(tracer_provider=tracer_provider)
+    try:
+        graph = _new_graph(_ScriptedChatModel([_final_message()]))
+        graph.invoke({"messages": [{"role": "user", "content": "hello"}]})
+
+        spans = span_exporter.get_finished_spans()
+        assert len(_spans_of_kind(spans, "AGENT")) == 1
+        assert len(_spans_of_kind(spans, "STEP")) == 1
+        assert len(_spans_of_kind(spans, "LLM")) == 1
+    finally:
+        deerflow_instrumentor.uninstrument()
+        langgraph_instrumentor.uninstrument()
+        langchain_instrumentor.uninstrument()
+
+
+@pytest.mark.asyncio
+async def test_direct_sdk_ainvoke_has_agent_step_without_entry(
+    instrumented_deerflow,
+    span_exporter,
+):
+    graph = _new_graph(_ScriptedChatModel([_final_message()]))
+
+    await graph.ainvoke({"messages": [{"role": "user", "content": "hello"}]})
+
+    _assert_direct_sdk_tree(
+        span_exporter.get_finished_spans(),
+        model_decisions=1,
+    )
+
+
+def test_two_decision_tool_loop_has_exact_steps_and_finish_reasons(
+    instrumented_deerflow,
+    span_exporter,
+):
+    model = _ScriptedChatModel(
+        [
+            _tool_call_message(
+                "lookup",
+                args={"query": "deerflow"},
+            ),
+            _final_message("done"),
+        ]
+    )
+    graph = _new_graph(model, [lookup])
+
+    graph.invoke({"messages": [{"role": "user", "content": "research"}]})
+
+    spans = span_exporter.get_finished_spans()
+    _assert_direct_sdk_tree(spans, model_decisions=2)
+    steps = _spans_of_kind(spans, "STEP")
+    tools = _spans_of_kind(spans, "TOOL")
+    assert [
+        step.attributes.get("gen_ai.react.finish_reason") for step in steps
+    ] == ["tool_calls", "stop"]
+    assert len(tools) == 1
+    assert tools[0].attributes["gen_ai.tool.name"] == "lookup"
+
+
+def test_model_exception_closes_step_and_agent_as_error(
+    instrumented_deerflow,
+    span_exporter,
+):
+    graph = _new_graph(_ScriptedChatModel([RuntimeError("model failed")]))
+
+    with pytest.raises(RuntimeError, match="model failed"):
+        graph.invoke({"messages": [{"role": "user", "content": "fail"}]})
+
+    spans = span_exporter.get_finished_spans()
+    _assert_direct_sdk_tree(spans, model_decisions=1)
+    assert _spans_of_kind(spans, "LLM")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+    assert _spans_of_kind(spans, "STEP")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+    assert _spans_of_kind(spans, "AGENT")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+
+
+def test_tool_exception_closes_tool_step_and_agent_as_error(
+    instrumented_deerflow,
+    span_exporter,
+):
+    graph = _new_graph(
+        _ScriptedChatModel([_tool_call_message("fail_tool")]),
+        [fail_tool],
+    )
+
+    with pytest.raises(ValueError, match="tool failed"):
+        graph.invoke({"messages": [{"role": "user", "content": "fail"}]})
+
+    spans = span_exporter.get_finished_spans()
+    _assert_direct_sdk_tree(spans, model_decisions=1)
+    assert _spans_of_kind(spans, "TOOL")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+    assert _spans_of_kind(spans, "STEP")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+    assert _spans_of_kind(spans, "AGENT")[0].status.status_code == (
+        StatusCode.ERROR
+    )
+
+
+def test_recursion_limit_closes_last_step_and_agent_as_error(
+    instrumented_deerflow,
+    span_exporter,
+):
+    graph = _new_graph(
+        _ScriptedChatModel(repeat_tool_name="ping"),
+        [ping],
+    )
+
+    with pytest.raises(GraphRecursionError):
+        graph.invoke(
+            {"messages": [{"role": "user", "content": "loop"}]},
+            config={"recursion_limit": 3},
+        )
+
+    spans = span_exporter.get_finished_spans()
+    _assert_direct_sdk_tree(spans, model_decisions=2)
+    steps = _spans_of_kind(spans, "STEP")
+    assert steps[0].attributes["gen_ai.react.finish_reason"] == "tool_calls"
+    assert steps[-1].status.status_code == StatusCode.ERROR
+    assert _spans_of_kind(spans, "AGENT")[0].status.status_code == (
+        StatusCode.ERROR
+    )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_subagents.py b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_subagents.py
new file mode 100644
index 000000000..428b6d290
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/test_subagents.py
@@ -0,0 +1,373 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Real DeerFlow ``task`` and subagent-executor trace regressions."""
+
+from __future__ import annotations
+
+import asyncio
+import importlib
+from collections.abc import Sequence
+from types import SimpleNamespace
+from typing import Any, Optional
+
+import pytest
+from pydantic import PrivateAttr
+
+from opentelemetry.instrumentation.deerflow import DeerFlowInstrumentor
+
+deerflow = pytest.importorskip("deerflow")
+
+from deerflow.agents.factory import create_deerflow_agent  # noqa: E402
+from deerflow.subagents.config import SubagentConfig  # noqa: E402
+from deerflow.tools.builtins.task_tool import task_tool  # noqa: E402
+from langchain_core.callbacks import CallbackManagerForLLMRun  # noqa: E402
+from langchain_core.language_models.chat_models import (  # noqa: E402
+    BaseChatModel,
+)
+from langchain_core.messages import AIMessage, BaseMessage  # noqa: E402
+from langchain_core.outputs import ChatGeneration, ChatResult  # noqa: E402
+
+
+def _final_message(content: str) -> AIMessage:
+    return AIMessage(
+        content=content,
+        response_metadata={"finish_reason": "stop"},
+    )
+
+
+def _task_calls_message(*subagent_names: str) -> AIMessage:
+    return AIMessage(
+        content="",
+        tool_calls=[
+            {
+                "name": "task",
+                "args": {
+                    "description": f"delegate {name}",
+                    "prompt": f"research with {name}",
+                    "subagent_type": name,
+                },
+                "id": f"call-{name}",
+                "type": "tool_call",
+            }
+            for name in subagent_names
+        ],
+        response_metadata={"finish_reason": "tool_calls"},
+    )
+
+
+class _ScriptedChatModel(BaseChatModel):
+    """Deterministic model used by the real lead and subagent graphs."""
+
+    _responses: list[AIMessage] = PrivateAttr()
+
+    def __init__(self, responses: Sequence[AIMessage]) -> None:
+        super().__init__()
+        self._responses = list(responses)
+
+    @property
+    def _llm_type(self) -> str:
+        return "fake-deerflow-subagent"
+
+    @property
+    def _identifying_params(self) -> dict:
+        return {}
+
+    def bind_tools(self, tools, **kwargs):
+        del tools, kwargs
+        return self
+
+    def _generate(
+        self,
+        messages: list[BaseMessage],
+        stop: Optional[list[str]] = None,
+        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        **kwargs: Any,
+    ) -> ChatResult:
+        del messages, stop, run_manager, kwargs
+        message = self._responses.pop(0)
+        finish_reason = message.response_metadata["finish_reason"]
+        return ChatResult(
+            generations=[
+                ChatGeneration(
+                    message=message,
+                    generation_info={"finish_reason": finish_reason},
+                )
+            ],
+            llm_output={"model_name": "fake-deerflow-subagent"},
+        )
+
+
+class _FastAsyncio:
+    """Proxy only DeerFlow task polling sleep; keep global asyncio untouched."""
+
+    def __getattr__(self, name: str) -> Any:
+        return getattr(asyncio, name)
+
+    @staticmethod
+    async def sleep(_delay: float) -> None:
+        # The real task tool polls every five seconds.  Keep a small real wait
+        # so the official scheduler thread and isolated event loop get CPU,
+        # while making the regression deterministic and fast.
+        await asyncio.sleep(0.05)
+
+
+@pytest.fixture
+def instrumented_deerflow(tracer_provider):
+    instrumentor = DeerFlowInstrumentor()
+    instrumentor.instrument(tracer_provider=tracer_provider)
+    try:
+        yield
+    finally:
+        if instrumentor.is_instrumented_by_opentelemetry:
+            instrumentor.uninstrument()
+
+
+@pytest.fixture
+def real_subagent_runtime(monkeypatch):
+    """Keep official task/executor concurrency, replacing only external IO."""
+    task_module = importlib.import_module("deerflow.tools.builtins.task_tool")
+    executor_module = importlib.import_module("deerflow.subagents.executor")
+    tools_module = importlib.import_module("deerflow.tools")
+    middleware_module = importlib.import_module(
+        "deerflow.agents.middlewares.tool_error_handling_middleware"
+    )
+
+    app_config = SimpleNamespace(
+        tool_search=SimpleNamespace(
+            enabled=False,
+            auto_promote_top_k=0,
+        )
+    )
+    models: dict[str, BaseChatModel] = {}
+
+    def get_subagent_config(
+        name: str,
+        *_args: Any,
+        **_kwargs: Any,
+    ) -> SubagentConfig:
+        return SubagentConfig(
+            name=name,
+            description=f"test subagent {name}",
+            model=name,
+            skills=[],
+            max_turns=10,
+            timeout_seconds=10,
+        )
+
+    def create_chat_model(name: str, **_kwargs: Any) -> BaseChatModel:
+        return models[name]
+
+    monkeypatch.setattr(task_module, "asyncio", _FastAsyncio())
+    monkeypatch.setattr(
+        task_module,
+        "get_available_subagent_names",
+        lambda *_args, **_kwargs: list(models),
+    )
+    monkeypatch.setattr(
+        task_module,
+        "get_subagent_config",
+        get_subagent_config,
+    )
+    monkeypatch.setattr(
+        task_module,
+        "resolve_subagent_model_name",
+        lambda config, _parent, **_kwargs: config.model,
+    )
+    monkeypatch.setattr(
+        task_module,
+        "resolve_runtime_user_id",
+        lambda runtime: (runtime.context or {}).get("user_id"),
+    )
+    monkeypatch.setattr(
+        task_module,
+        "_token_usage_cache_enabled",
+        lambda _config: False,
+    )
+    monkeypatch.setattr(task_module, "get_app_config", lambda: app_config)
+    monkeypatch.setattr(
+        tools_module,
+        "get_available_tools",
+        lambda **_kwargs: [],
+    )
+    monkeypatch.setattr(
+        executor_module,
+        "get_app_config",
+        lambda: app_config,
+    )
+    monkeypatch.setattr(
+        executor_module,
+        "create_chat_model",
+        create_chat_model,
+    )
+    monkeypatch.setattr(
+        executor_module,
+        "build_tracing_callbacks",
+        lambda: [],
+    )
+    monkeypatch.setattr(
+        middleware_module,
+        "build_subagent_runtime_middlewares",
+        lambda **_kwargs: [],
+    )
+
+    yield models
+
+    # A failed assertion must not leave official background-task state behind.
+    background_tasks = getattr(executor_module, "_background_tasks", {})
+    background_tasks.clear()
+
+
+def _spans_of_kind(spans, kind: str):
+    return [
+        span
+        for span in spans
+        if span.attributes.get("gen_ai.span.kind") == kind
+    ]
+
+
+def _is_descendant(child, ancestor, spans) -> bool:
+    spans_by_id = {span.context.span_id: span for span in spans}
+    parent = child.parent
+    while parent is not None:
+        if parent.span_id == ancestor.context.span_id:
+            return True
+        parent_span = spans_by_id.get(parent.span_id)
+        parent = parent_span.parent if parent_span is not None else None
+    return False
+
+
+def _assert_subagent_tree(spans, *subagent_names: str) -> None:
+    assert _spans_of_kind(spans, "ENTRY") == []
+
+    agents = _spans_of_kind(spans, "AGENT")
+    tools = _spans_of_kind(spans, "TOOL")
+    steps = _spans_of_kind(spans, "STEP")
+    llms = _spans_of_kind(spans, "LLM")
+
+    expected_agent_names = {
+        "lead-agent",
+        *(f"subagent:{name}" for name in subagent_names),
+    }
+    assert {span.attributes["gen_ai.agent.name"] for span in agents} == (
+        expected_agent_names
+    )
+    assert len(agents) == len(expected_agent_names)
+    assert len(tools) == len(subagent_names)
+    assert all(tool.attributes["gen_ai.tool.name"] == "task" for tool in tools)
+    assert len(steps) == 2 + len(subagent_names)
+    assert len(llms) == 2 + len(subagent_names)
+
+    trace_ids = {span.context.trace_id for span in spans}
+    assert len(trace_ids) == 1
+
+    lead = next(
+        span
+        for span in agents
+        if span.attributes["gen_ai.agent.name"] == "lead-agent"
+    )
+    assert lead.parent is None
+
+    subagents = [span for span in agents if span is not lead]
+    tool_ids = {span.context.span_id for span in tools}
+    assert {span.parent.span_id for span in subagents} == tool_ids
+    assert all(_is_descendant(tool, lead, spans) for tool in tools)
+
+    for subagent in subagents:
+        child_steps = [
+            step
+            for step in steps
+            if step.parent.span_id == subagent.context.span_id
+        ]
+        assert len(child_steps) == 1
+        assert (
+            sum(_is_descendant(llm, child_steps[0], spans) for llm in llms)
+            == 1
+        )
+
+
+@pytest.mark.asyncio
+async def test_official_task_runs_one_real_subagent_without_extra_entry(
+    instrumented_deerflow,
+    real_subagent_runtime,
+    span_exporter,
+):
+    real_subagent_runtime["research"] = _ScriptedChatModel(
+        [_final_message("subagent result")]
+    )
+    lead_model = _ScriptedChatModel(
+        [
+            _task_calls_message("research"),
+            _final_message("lead result"),
+        ]
+    )
+    graph = create_deerflow_agent(
+        model=lead_model,
+        tools=[task_tool],
+        middleware=[],
+        name="lead-agent",
+    )
+
+    await graph.ainvoke(
+        {"messages": [{"role": "user", "content": "delegate"}]},
+        config={"metadata": {"model_name": "lead-model"}},
+        context={"thread_id": "thread-one", "user_id": "user-one"},
+    )
+
+    _assert_subagent_tree(
+        span_exporter.get_finished_spans(),
+        "research",
+    )
+
+
+@pytest.mark.asyncio
+async def test_official_task_keeps_two_concurrent_subagents_on_distinct_parents(
+    instrumented_deerflow,
+    real_subagent_runtime,
+    span_exporter,
+):
+    real_subagent_runtime.update(
+        {
+            "research-one": _ScriptedChatModel(
+                [_final_message("first result")]
+            ),
+            "research-two": _ScriptedChatModel(
+                [_final_message("second result")]
+            ),
+        }
+    )
+    lead_model = _ScriptedChatModel(
+        [
+            _task_calls_message("research-one", "research-two"),
+            _final_message("combined result"),
+        ]
+    )
+    graph = create_deerflow_agent(
+        model=lead_model,
+        tools=[task_tool],
+        middleware=[],
+        name="lead-agent",
+    )
+
+    await graph.ainvoke(
+        {"messages": [{"role": "user", "content": "parallel delegate"}]},
+        config={"metadata": {"model_name": "lead-model"}},
+        context={"thread_id": "thread-two", "user_id": "user-two"},
+    )
+
+    _assert_subagent_tree(
+        span_exporter.get_finished_spans(),
+        "research-one",
+        "research-two",
+    )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/CHANGELOG.md b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/CHANGELOG.md
index 2edd2506e..43e1dd1e6 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/CHANGELOG.md
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/CHANGELOG.md
@@ -7,6 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+### Added
+
+- Recognize opt-in framework and decision-node metadata from LangGraph-based
+  agent harnesses, allowing adapters such as DeerFlow to define their `STEP`
+  boundary without changing existing LangGraph or DeepAgents detection.
+
 ## Version 0.7.0 (2026-07-03)
 
 ### Added
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_agent_semantics.py b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_agent_semantics.py
new file mode 100644
index 000000000..1c7076d43
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_agent_semantics.py
@@ -0,0 +1,36 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Internal metadata contract for LangGraph-based agent harnesses."""
+
+from __future__ import annotations
+
+from typing import Any
+
+AGENT_FRAMEWORK_METADATA_KEY = "_loongsuite_agent_framework"
+AGENT_STEP_NODE_METADATA_KEY = "_loongsuite_agent_step_node"
+DEERFLOW_FRAMEWORK = "deerflow"
+
+
+def get_agent_semantics(run: Any) -> tuple[str, str] | None:
+    """Return validated framework and decision-node metadata for a run."""
+
+    metadata = getattr(run, "metadata", None) or {}
+    framework = metadata.get(AGENT_FRAMEWORK_METADATA_KEY)
+    step_node = metadata.get(AGENT_STEP_NODE_METADATA_KEY)
+    if not isinstance(framework, str) or not framework.strip():
+        return None
+    if not isinstance(step_node, str) or not step_node.strip():
+        return None
+    return framework.strip(), step_node.strip()
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_tracer.py b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_tracer.py
index aae2dd507..b94337b45 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_tracer.py
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_tracer.py
@@ -48,8 +48,13 @@
 from langchain_core.tracers.base import BaseTracer
 from langchain_core.tracers.schemas import Run
 
+from opentelemetry import baggage
 from opentelemetry import context as otel_context
 from opentelemetry.context import Context
+from opentelemetry.instrumentation.langchain.internal._agent_semantics import (
+    DEERFLOW_FRAMEWORK,
+    get_agent_semantics,
+)
 from opentelemetry.instrumentation.langchain.internal._utils import (
     DEEPAGENTS_REACT_STEP_NODE,
     LANGGRAPH_REACT_STEP_NODE,
@@ -127,6 +132,10 @@ class _RunData:
     inside_langgraph_react: bool = False
     is_deepagents_react: bool = False
     inside_deepagents_react: bool = False
+    agent_framework: str | None = None
+    agent_step_node: str | None = None
+    inside_agent_framework: str | None = None
+    inside_agent_step_node: str | None = None
     deepagents_skills_by_path: dict[str, dict[str, Any]] = field(
         default_factory=dict
     )
@@ -354,6 +363,8 @@ def _on_chain_start(self, run: Run) -> None:
         try:
             if _is_agent_run(run):
                 self._start_agent(run)
+            elif get_agent_semantics(run) is not None:
+                self._handle_semantic_agent_chain_start(run)
             elif _has_langgraph_react_metadata(
                 run
             ) or _has_deepagents_metadata(run):
@@ -363,6 +374,24 @@ def _on_chain_start(self, run: Run) -> None:
         except Exception:
             logger.debug("Failed to start Chain/Agent span", exc_info=True)
 
+    def _handle_semantic_agent_chain_start(self, run: Run) -> None:
+        """Route an opt-in graph carrying explicit agent semantics."""
+
+        parent_id = getattr(run, "parent_run_id", None)
+        with self._lock:
+            parent_rd = self._runs.get(parent_id) if parent_id else None
+
+        inside = parent_rd is not None and (
+            parent_rd.agent_framework is not None
+            or parent_rd.inside_agent_framework is not None
+        )
+        if inside:
+            if parent_rd is not None and parent_rd.agent_framework is not None:
+                self._maybe_enter_semantic_agent_step(run)
+            self._start_chain(run)
+        else:
+            self._start_agent(run)
+
     def _handle_react_chain_start(self, run: Run) -> None:
         """Route a chain start that carries LoongSuite ReAct metadata.
 
@@ -395,8 +424,8 @@ def _handle_react_chain_start(self, run: Run) -> None:
         else:
             self._start_agent(run)
 
-    def _resolve_langgraph_agent_name(self, run: Run) -> str:
-        """Pick a meaningful agent name for a LangGraph ReAct agent.
+    def _resolve_agent_name(self, run: Run) -> str:
+        """Pick a meaningful name for a LangGraph-based agent.
 
         When the inner graph uses the default name ``"LangGraph"`` and is
         invoked as a node inside an outer graph, the parent node's name
@@ -404,6 +433,34 @@ def _resolve_langgraph_agent_name(self, run: Run) -> str:
         over the generic default.
         """
         name = run.name or ""
+        agent_semantics = get_agent_semantics(run)
+        if (
+            agent_semantics is not None
+            and agent_semantics[0] == DEERFLOW_FRAMEWORK
+        ):
+            if name not in {"", "LangGraph", "default"}:
+                return "lead-agent" if name == "lead_agent" else name
+
+            metadata = getattr(run, "metadata", None) or {}
+            for key in ("_loongsuite_agent_name", "agent_name"):
+                value = metadata.get(key)
+                if isinstance(value, str) and value.strip():
+                    return value.strip()
+
+            tags = getattr(run, "tags", None) or []
+            for tag in tags:
+                if isinstance(tag, str) and tag.startswith("subagent:"):
+                    return tag
+
+            trace_name = metadata.get("langfuse_trace_name")
+            if isinstance(trace_name, str) and trace_name.strip():
+                return trace_name.strip()
+
+            baggage_name = baggage.get_baggage("gen_ai.agent.name")
+            if isinstance(baggage_name, str) and baggage_name.strip():
+                return baggage_name.strip()
+            return "lead-agent"
+
         if not _has_langgraph_react_metadata(run) or name != "LangGraph":
             return name
 
@@ -446,13 +503,16 @@ def _start_agent(self, run: Run) -> None:
                     if converted:
                         input_messages.append(converted)
 
-        agent_name = self._resolve_langgraph_agent_name(run)
+        agent_name = self._resolve_agent_name(run)
 
         invocation = InvokeAgentInvocation(
             provider="langchain",
             agent_name=agent_name,
             input_messages=input_messages,
         )
+        agent_semantics = get_agent_semantics(run)
+        if agent_semantics is not None:
+            invocation.attributes["gen_ai.framework"] = agent_semantics[0]
         self._handler.start_invoke_agent(invocation, context=parent_ctx)
         rd = _RunData(
             run_kind="agent",
@@ -461,6 +521,8 @@ def _start_agent(self, run: Run) -> None:
             invocation=invocation,
             is_langgraph_react=_has_langgraph_react_metadata(run),
             is_deepagents_react=_has_deepagents_metadata(run),
+            agent_framework=(agent_semantics[0] if agent_semantics else None),
+            agent_step_node=(agent_semantics[1] if agent_semantics else None),
         )
         with self._lock:
             self._runs[run.id] = rd
@@ -488,10 +550,12 @@ def _start_chain(self, run: Run) -> None:
         ctx = set_span_in_context(span, current_context)
         token = otel_context.attach(ctx)
 
-        # Propagate framework-specific ReAct context from parent so that
+        # Propagate framework-specific agent context from parent so that
         # grandchildren of the graph are also recognised as internal.
         inside_lg = False
         inside_deepagents = False
+        inside_agent_framework = None
+        inside_agent_step_node = None
         deepagents_skills_by_path: dict[str, dict[str, Any]] = {}
         parent_id = getattr(run, "parent_run_id", None)
         if parent_id:
@@ -502,6 +566,12 @@ def _start_chain(self, run: Run) -> None:
                 inside_deepagents = (
                     p.is_deepagents_react or p.inside_deepagents_react
                 )
+                inside_agent_framework = (
+                    p.agent_framework or p.inside_agent_framework
+                )
+                inside_agent_step_node = (
+                    p.agent_step_node or p.inside_agent_step_node
+                )
                 deepagents_skills_by_path = dict(p.deepagents_skills_by_path)
 
         rd = _RunData(
@@ -511,6 +581,8 @@ def _start_chain(self, run: Run) -> None:
             context_token=token,
             inside_langgraph_react=inside_lg,
             inside_deepagents_react=inside_deepagents,
+            inside_agent_framework=inside_agent_framework,
+            inside_agent_step_node=inside_agent_step_node,
             deepagents_skills_by_path=deepagents_skills_by_path,
         )
         with self._lock:
@@ -731,14 +803,11 @@ def _on_retriever_error(self, run: Run) -> None:
             logger.debug("Failed to fail Retriever span", exc_info=True)
 
     # ------------------------------------------------------------------
-    # LangGraph ReAct Step — callback-based detection
+    # Agent STEP — callback-based detection
     # ------------------------------------------------------------------
 
-    def _maybe_enter_langgraph_react_step(self, run: Run) -> None:
-        """If *run* is a child node of a LangGraph ReAct agent whose name
-        equals ``LANGGRAPH_REACT_STEP_NODE`` (``"agent"``), trigger a ReAct
-        step transition: end the previous step (with ``"tool_calls"``) and
-        start a new one.
+    def _maybe_enter_semantic_agent_step(self, run: Run) -> None:
+        """Start a STEP for the opt-in graph's direct decision node.
 
         Must be called **before** ``_start_chain`` so that the chain span
         is parented under the step span.
@@ -747,6 +816,27 @@ def _maybe_enter_langgraph_react_step(self, run: Run) -> None:
         if not parent_id:
             return
 
+        with self._lock:
+            parent_rd = self._runs.get(parent_id)
+        if parent_rd is None or parent_rd.agent_framework is None:
+            return
+
+        chain_name = getattr(run, "name", "") or ""
+        if chain_name != parent_rd.agent_step_node:
+            return
+
+        # End previous step (it had tool_calls since another round started)
+        if parent_rd.active_step is not None:
+            self._exit_react_step(parent_id, "tool_calls")
+
+        self._enter_react_step(parent_id)
+
+    def _maybe_enter_langgraph_react_step(self, run: Run) -> None:
+        """Start a ReAct STEP for a direct LangGraph ``agent`` node."""
+        parent_id = getattr(run, "parent_run_id", None)
+        if not parent_id:
+            return
+
         with self._lock:
             parent_rd = self._runs.get(parent_id)
         if parent_rd is None or not parent_rd.is_langgraph_react:
@@ -756,19 +846,13 @@ def _maybe_enter_langgraph_react_step(self, run: Run) -> None:
         if chain_name != LANGGRAPH_REACT_STEP_NODE:
             return
 
-        # End previous step (it had tool_calls since another round started)
         if parent_rd.active_step is not None:
             self._exit_react_step(parent_id, "tool_calls")
 
         self._enter_react_step(parent_id)
 
     def _maybe_enter_deepagents_react_step(self, run: Run) -> None:
-        """Start a ReAct STEP for DeepAgents model decision nodes.
-
-        DeepAgents is built through ``langchain.agents.create_agent`` and its
-        model decision node is named ``"model"``. Treat each direct ``model``
-        child of the marked DeepAgents root graph as one ReAct round.
-        """
+        """Start a ReAct STEP for a direct DeepAgents ``model`` node."""
         parent_id = getattr(run, "parent_run_id", None)
         if not parent_id:
             return
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_semantics.py b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_semantics.py
new file mode 100644
index 000000000..acee5ced3
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_semantics.py
@@ -0,0 +1,54 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from types import SimpleNamespace
+
+import pytest
+
+from opentelemetry.instrumentation.langchain.internal._agent_semantics import (
+    AGENT_FRAMEWORK_METADATA_KEY,
+    AGENT_STEP_NODE_METADATA_KEY,
+    get_agent_semantics,
+)
+
+
+def test_agent_semantics_requires_both_scalar_fields():
+    run = SimpleNamespace(
+        metadata={
+            AGENT_FRAMEWORK_METADATA_KEY: "deerflow",
+            AGENT_STEP_NODE_METADATA_KEY: "model",
+        }
+    )
+
+    assert get_agent_semantics(run) == ("deerflow", "model")
+
+
+@pytest.mark.parametrize(
+    "metadata",
+    [
+        {},
+        {AGENT_FRAMEWORK_METADATA_KEY: "deerflow"},
+        {AGENT_STEP_NODE_METADATA_KEY: "model"},
+        {
+            AGENT_FRAMEWORK_METADATA_KEY: ["deerflow"],
+            AGENT_STEP_NODE_METADATA_KEY: "model",
+        },
+        {
+            AGENT_FRAMEWORK_METADATA_KEY: "deerflow",
+            AGENT_STEP_NODE_METADATA_KEY: "",
+        },
+    ],
+)
+def test_agent_semantics_rejects_incomplete_or_non_string_metadata(metadata):
+    assert get_agent_semantics(SimpleNamespace(metadata=metadata)) is None
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_spans.py b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_spans.py
index 71d169fbb..0411231fb 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_spans.py
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langchain/tests/test_agent_spans.py
@@ -16,6 +16,14 @@
 
 from uuid import uuid4
 
+import pytest
+
+from opentelemetry import baggage, context
+from opentelemetry.instrumentation.langchain.internal._agent_semantics import (
+    AGENT_FRAMEWORK_METADATA_KEY,
+    AGENT_STEP_NODE_METADATA_KEY,
+    DEERFLOW_FRAMEWORK,
+)
 from opentelemetry.instrumentation.langchain.internal._tracer import (
     LoongsuiteTracer,
     _extract_langgraph_input_message,
@@ -162,3 +170,95 @@ def test_agent_context_colors_child_llm_and_tool_spans(
 
     assert llm_span.attributes[GenAI.GEN_AI_AGENT_NAME] == "AgentExecutor"
     assert tool_span.attributes[GenAI.GEN_AI_AGENT_NAME] == "AgentExecutor"
+
+
+def test_deerflow_agent_semantics_sets_framework_attribute(
+    tracer_provider, span_exporter
+):
+    handler = ExtendedTelemetryHandler(tracer_provider=tracer_provider)
+    tracer = LoongsuiteTracer(
+        handler=handler,
+        tracer_provider=tracer_provider,
+    )
+    agent_run = _FakeRun("lead-agent", inputs={"input": "research"})
+    agent_run.metadata = {
+        AGENT_FRAMEWORK_METADATA_KEY: DEERFLOW_FRAMEWORK,
+        AGENT_STEP_NODE_METADATA_KEY: "model",
+    }
+
+    tracer._start_agent(agent_run)
+    agent_run.outputs = {"output": "done"}
+    tracer._on_chain_end(agent_run)
+
+    agent_span = next(
+        span
+        for span in span_exporter.get_finished_spans()
+        if span.attributes.get("gen_ai.span.kind") == "AGENT"
+    )
+    assert agent_span.attributes["gen_ai.framework"] == "deerflow"
+
+
+@pytest.mark.parametrize(
+    ("name", "metadata", "tags", "expected"),
+    [
+        ("research-agent", {}, [], "research-agent"),
+        (
+            "LangGraph",
+            {"agent_name": "configured-agent"},
+            [],
+            "configured-agent",
+        ),
+        (
+            "LangGraph",
+            {"langfuse_trace_name": "metadata-agent"},
+            ["subagent:researcher"],
+            "subagent:researcher",
+        ),
+        (
+            "LangGraph",
+            {"langfuse_trace_name": "metadata-agent"},
+            [],
+            "metadata-agent",
+        ),
+        ("default", {}, [], "lead-agent"),
+    ],
+)
+def test_deerflow_agent_name_resolution(
+    name,
+    metadata,
+    tags,
+    expected,
+    tracer_provider,
+):
+    tracer = LoongsuiteTracer(
+        handler=ExtendedTelemetryHandler(tracer_provider=tracer_provider),
+        tracer_provider=tracer_provider,
+    )
+    run = _FakeRun(name)
+    run.metadata = {
+        AGENT_FRAMEWORK_METADATA_KEY: DEERFLOW_FRAMEWORK,
+        AGENT_STEP_NODE_METADATA_KEY: "model",
+        **metadata,
+    }
+    run.tags = tags
+
+    assert tracer._resolve_agent_name(run) == expected
+
+
+def test_deerflow_agent_name_falls_back_to_entry_baggage(tracer_provider):
+    tracer = LoongsuiteTracer(
+        handler=ExtendedTelemetryHandler(tracer_provider=tracer_provider),
+        tracer_provider=tracer_provider,
+    )
+    run = _FakeRun("LangGraph")
+    run.metadata = {
+        AGENT_FRAMEWORK_METADATA_KEY: DEERFLOW_FRAMEWORK,
+        AGENT_STEP_NODE_METADATA_KEY: "model",
+    }
+    run.tags = []
+    ctx = baggage.set_baggage("gen_ai.agent.name", "embedded-agent")
+    token = context.attach(ctx)
+    try:
+        assert tracer._resolve_agent_name(run) == "embedded-agent"
+    finally:
+        context.detach(token)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/CHANGELOG.md b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/CHANGELOG.md
index 664eaa2de..63135c869 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/CHANGELOG.md
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/CHANGELOG.md
@@ -7,6 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+### Added
+
+- Propagate opt-in framework and decision-node metadata for LangGraph-based
+  agent harnesses through `Pregel.stream` and `Pregel.astream` without
+  changing the existing prebuilt ReAct marker behavior.
+
 ## Version 0.7.0 (2026-07-03)
 
 There are no changelog entries for this release.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/src/opentelemetry/instrumentation/langgraph/internal/patch.py b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/src/opentelemetry/instrumentation/langgraph/internal/patch.py
index ac057bcdf..9d39bde4b 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/src/opentelemetry/instrumentation/langgraph/internal/patch.py
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/src/opentelemetry/instrumentation/langgraph/internal/patch.py
@@ -21,14 +21,12 @@ def wrapper(wrapped, instance, args, kwargs) -> ...
 Three patch targets:
 
 1. ``create_react_agent`` — sets ``_loongsuite_react_agent = True`` on the
-   compiled ``CompiledStateGraph`` so that downstream instrumentation can
-   recognise it as a ReAct agent.
+   compiled ``CompiledStateGraph`` so downstream instrumentation recognises it.
 
 2. ``Pregel.stream`` / ``Pregel.astream`` — injects
-   ``metadata["_loongsuite_react_agent"] = True`` into the ``RunnableConfig``
-   when the graph is a marked ReAct agent.  This metadata flows through
-   LangChain's callback system to ``Run.metadata``, where the
-   ``LoongsuiteTracer`` reads it to create Agent and ReAct Step spans.
+   either the existing ReAct marker or an opt-in harness's framework and
+   decision-node semantics into a copy of ``RunnableConfig``. The metadata
+   then flows through LangChain callbacks to ``Run.metadata``.
 """
 
 from __future__ import annotations
@@ -38,6 +36,8 @@ def wrapper(wrapped, instance, args, kwargs) -> ...
 
 logger = logging.getLogger(__name__)
 
+AGENT_FRAMEWORK_METADATA_KEY = "_loongsuite_agent_framework"
+AGENT_STEP_NODE_METADATA_KEY = "_loongsuite_agent_step_node"
 REACT_AGENT_METADATA_KEY = "_loongsuite_react_agent"
 
 
@@ -70,10 +70,10 @@ def _create_react_agent_wrapper(
 # ---------------------------------------------------------------------------
 
 
-def _inject_react_metadata(config: Any) -> Any:
-    """Return a *new* config dict with ``_loongsuite_react_agent: True``
-    in its ``metadata``.
-    """
+def _copy_config_and_metadata(
+    config: Any,
+) -> tuple[dict[str, Any], dict[str, Any]]:
+    """Return copy-on-write config and metadata dictionaries."""
     # Inline import: langchain_core is a transitive dependency of langgraph;
     # importing here avoids module-level coupling.
     from langchain_core.runnables.config import (  # noqa: PLC0415
@@ -82,15 +82,44 @@ def _inject_react_metadata(config: Any) -> Any:
 
     config = ensure_config(config)
     config = {**config}
-    metadata = dict(config.get("metadata") or {})
+    return config, dict(config.get("metadata") or {})
+
+
+def _inject_react_metadata(config: Any) -> Any:
+    """Return a new config carrying the existing prebuilt ReAct marker."""
+    config, metadata = _copy_config_and_metadata(config)
     metadata.setdefault(REACT_AGENT_METADATA_KEY, True)
     config["metadata"] = metadata
     return config
 
 
+def _inject_agent_semantics(config: Any, semantics: tuple[str, str]) -> Any:
+    """Return a new config carrying an opt-in harness's scalar semantics."""
+    config, metadata = _copy_config_and_metadata(config)
+    metadata[AGENT_FRAMEWORK_METADATA_KEY] = semantics[0]
+    metadata[AGENT_STEP_NODE_METADATA_KEY] = semantics[1]
+    config["metadata"] = metadata
+    return config
+
+
+def _get_graph_agent_semantics(graph: Any) -> tuple[str, str] | None:
+    """Read validated opt-in agent semantics from graph attributes."""
+
+    framework = getattr(graph, AGENT_FRAMEWORK_METADATA_KEY, None)
+    step_node = getattr(graph, AGENT_STEP_NODE_METADATA_KEY, None)
+    if not isinstance(framework, str) or not framework.strip():
+        return None
+    if not isinstance(step_node, str) or not step_node.strip():
+        return None
+    return framework.strip(), step_node.strip()
+
+
 def _stream_wrapper(wrapped: Any, instance: Any, args: Any, kwargs: Any):  # type: ignore[return]
     """``wrapt`` wrapper for ``Pregel.stream``."""
-    if getattr(instance, REACT_AGENT_METADATA_KEY, False):
+    semantics = _get_graph_agent_semantics(instance)
+    if semantics is not None:
+        args, kwargs = _rewrite_config(args, kwargs, semantics)
+    elif getattr(instance, REACT_AGENT_METADATA_KEY, False):
         args, kwargs = _rewrite_config(args, kwargs)
     yield from wrapped(*args, **kwargs)
 
@@ -99,20 +128,33 @@ async def _astream_wrapper(
     wrapped: Any, instance: Any, args: Any, kwargs: Any
 ):  # type: ignore[return]
     """``wrapt`` wrapper for ``Pregel.astream``."""
-    if getattr(instance, REACT_AGENT_METADATA_KEY, False):
+    semantics = _get_graph_agent_semantics(instance)
+    if semantics is not None:
+        args, kwargs = _rewrite_config(args, kwargs, semantics)
+    elif getattr(instance, REACT_AGENT_METADATA_KEY, False):
         args, kwargs = _rewrite_config(args, kwargs)
     async for chunk in wrapped(*args, **kwargs):
         yield chunk
 
 
 def _rewrite_config(
-    args: tuple[Any, ...], kwargs: dict[str, Any]
+    args: tuple[Any, ...],
+    kwargs: dict[str, Any],
+    semantics: tuple[str, str] | None = None,
 ) -> tuple[tuple[Any, ...], dict[str, Any]]:
     """Extract ``config`` from *args*/*kwargs*, inject metadata, put it back."""
     if len(args) > 1:
-        config = _inject_react_metadata(args[1])
+        config = (
+            _inject_agent_semantics(args[1], semantics)
+            if semantics is not None
+            else _inject_react_metadata(args[1])
+        )
         args = (args[0], config) + args[2:]
     else:
-        config = _inject_react_metadata(kwargs.get("config"))
+        config = (
+            _inject_agent_semantics(kwargs.get("config"), semantics)
+            if semantics is not None
+            else _inject_react_metadata(kwargs.get("config"))
+        )
         kwargs = {**kwargs, "config": config}
     return args, kwargs
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_patch.py b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_patch.py
index 1aa94abdc..6e633ac79 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_patch.py
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_patch.py
@@ -25,6 +25,14 @@
 from langchain_core.tools import tool
 
 from opentelemetry.instrumentation.langgraph import LangGraphInstrumentor
+from opentelemetry.instrumentation.langgraph.internal.patch import (
+    AGENT_FRAMEWORK_METADATA_KEY,
+    AGENT_STEP_NODE_METADATA_KEY,
+    REACT_AGENT_METADATA_KEY,
+    _get_graph_agent_semantics,
+    _inject_agent_semantics,
+    _inject_react_metadata,
+)
 
 # ---------------------------------------------------------------------------
 # Helpers
@@ -156,6 +164,54 @@ class _State(dict):
 
         assert not getattr(plain_graph, "_loongsuite_react_agent", False)
 
+    def test_metadata_injection_is_copy_on_write(self):
+        callback = object()
+        original = {
+            "callbacks": [callback],
+            "metadata": {"customer": "kept"},
+        }
+
+        rewritten = _inject_react_metadata(original)
+
+        assert rewritten is not original
+        assert rewritten["metadata"] is not original["metadata"]
+        assert original == {
+            "callbacks": [callback],
+            "metadata": {"customer": "kept"},
+        }
+        assert rewritten["callbacks"] == [callback]
+        assert rewritten["metadata"]["customer"] == "kept"
+        assert rewritten["metadata"][REACT_AGENT_METADATA_KEY] is True
+
+    def test_opt_in_semantics_do_not_require_legacy_marker(self):
+        graph = type("Graph", (), {})()
+        setattr(graph, AGENT_FRAMEWORK_METADATA_KEY, "deerflow")
+        setattr(graph, AGENT_STEP_NODE_METADATA_KEY, "model")
+
+        assert _get_graph_agent_semantics(graph) == ("deerflow", "model")
+
+    def test_agent_semantics_injection_is_copy_on_write(self):
+        callback = object()
+        original = {
+            "callbacks": [callback],
+            "metadata": {"customer": "kept"},
+        }
+
+        rewritten = _inject_agent_semantics(
+            original,
+            ("deerflow", "model"),
+        )
+
+        assert rewritten is not original
+        assert rewritten["metadata"] is not original["metadata"]
+        assert original["metadata"] == {"customer": "kept"}
+        assert rewritten["callbacks"] == [callback]
+        assert rewritten["metadata"]["customer"] == "kept"
+        assert (
+            rewritten["metadata"][AGENT_FRAMEWORK_METADATA_KEY] == "deerflow"
+        )
+        assert rewritten["metadata"][AGENT_STEP_NODE_METADATA_KEY] == "model"
+
     def test_uninstrument_restores_stream(self):
         """After uninstrument, Pregel.stream is no longer a wrapt wrapper."""
         from langgraph.pregel import Pregel  # noqa: PLC0415
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_react_step_spans.py b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_react_step_spans.py
index 3bc398b84..06d5e686e 100644
--- a/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_react_step_spans.py
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-langgraph/tests/test_react_step_spans.py
@@ -21,7 +21,7 @@
 
 from __future__ import annotations
 
-from typing import Any, List, Optional, Sequence
+from typing import Any, List, Optional, Sequence, TypedDict
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.chat_models import BaseChatModel
@@ -102,6 +102,31 @@ def _build_react_agent(responses: list[AIMessage], **extra: Any):
     return create_react_agent(llm, [_dummy_tool], **extra)
 
 
+def _build_opt_in_harness():
+    """Build a plain StateGraph marked by a framework adapter."""
+    from langgraph.graph import StateGraph  # noqa: PLC0415
+
+    class _State(TypedDict):
+        result: str
+
+    llm = _FakeChatModelWithTools(
+        responses=[AIMessage(content="Harness answer.")]
+    )
+
+    def decision_node(state: _State) -> _State:
+        message = llm.invoke("hello")
+        return {**state, "result": str(message.content)}
+
+    builder = StateGraph(_State)
+    builder.add_node("decision", decision_node)
+    builder.set_entry_point("decision")
+    builder.set_finish_point("decision")
+    graph = builder.compile(name="example-harness")
+    graph._loongsuite_agent_framework = "example-harness"
+    graph._loongsuite_agent_step_node = "decision"
+    return graph
+
+
 # ---------------------------------------------------------------------------
 # Tests
 # ---------------------------------------------------------------------------
@@ -167,6 +192,40 @@ def test_span_hierarchy(self, instrument, span_exporter):
         assert step.parent.span_id == agent.context.span_id
 
 
+def test_opt_in_state_graph_uses_declared_decision_node(
+    instrument, span_exporter
+):
+    """A LangGraph-based harness can opt in without changing prebuilt rules."""
+    graph = _build_opt_in_harness()
+
+    result = graph.invoke({"result": ""})
+
+    assert result["result"] == "Harness answer."
+    spans = span_exporter.get_finished_spans()
+    agent_spans = [
+        span
+        for span in spans
+        if span.attributes.get("gen_ai.span.kind") == "AGENT"
+    ]
+    step_spans = [
+        span
+        for span in spans
+        if span.attributes.get("gen_ai.span.kind") == "STEP"
+    ]
+    llm_spans = [
+        span
+        for span in spans
+        if span.attributes.get("gen_ai.span.kind") == "LLM"
+    ]
+
+    assert len(agent_spans) == 1
+    assert agent_spans[0].attributes["gen_ai.framework"] == "example-harness"
+    assert len(step_spans) == 1
+    assert step_spans[0].parent.span_id == agent_spans[0].context.span_id
+    assert len(llm_spans) == 1
+    assert llm_spans[0].context.trace_id == agent_spans[0].context.trace_id
+
+
 class TestLangGraphReActMultiRound:
     """Multi-round agent: LLM uses a tool in round 1, answers in round 2."""
 
diff --git a/tox-loongsuite.ini b/tox-loongsuite.ini
index 6482b0196..df6c6fb70 100644
--- a/tox-loongsuite.ini
+++ b/tox-loongsuite.ini
@@ -53,6 +53,11 @@ envlist =
     py3{11,12,13}-test-loongsuite-instrumentation-deepagents-latest
     lint-loongsuite-instrumentation-deepagents
 
+    ; loongsuite-instrumentation-deerflow
+    py312-test-loongsuite-instrumentation-deerflow.stable
+    py3{12,13}-test-loongsuite-instrumentation-deerflow.current
+    lint-loongsuite-instrumentation-deerflow
+
     ; loongsuite-instrumentation-microsoft-agent-framework
     py3{10,11,12,13}-test-loongsuite-instrumentation-microsoft-agent-framework
     lint-loongsuite-instrumentation-microsoft-agent-framework
@@ -200,6 +205,24 @@ deps =
   lint-loongsuite-instrumentation-deepagents: {[testenv]test_deps}
   lint-loongsuite-instrumentation-deepagents: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deepagents/tests/requirements.latest.txt
 
+  ; DeerFlow requires Langfuse, whose OTLP exporter must use the same
+  ; development OTel stack as the rest of this test environment.
+  loongsuite-instrumentation-deerflow.stable: opentelemetry-proto@{env:CORE_REPO}\#egg=opentelemetry-proto&subdirectory=opentelemetry-proto
+  loongsuite-instrumentation-deerflow.stable: opentelemetry-exporter-otlp-proto-common@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-common&subdirectory=exporter/opentelemetry-exporter-otlp-proto-common
+  loongsuite-instrumentation-deerflow.stable: opentelemetry-exporter-otlp-proto-http@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-http&subdirectory=exporter/opentelemetry-exporter-otlp-proto-http
+  loongsuite-instrumentation-deerflow.stable: {[testenv]test_deps}
+  loongsuite-instrumentation-deerflow.stable: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.oldest.txt
+  loongsuite-instrumentation-deerflow.current: opentelemetry-proto@{env:CORE_REPO}\#egg=opentelemetry-proto&subdirectory=opentelemetry-proto
+  loongsuite-instrumentation-deerflow.current: opentelemetry-exporter-otlp-proto-common@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-common&subdirectory=exporter/opentelemetry-exporter-otlp-proto-common
+  loongsuite-instrumentation-deerflow.current: opentelemetry-exporter-otlp-proto-http@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-http&subdirectory=exporter/opentelemetry-exporter-otlp-proto-http
+  loongsuite-instrumentation-deerflow.current: {[testenv]test_deps}
+  loongsuite-instrumentation-deerflow.current: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.latest.txt
+  lint-loongsuite-instrumentation-deerflow: opentelemetry-proto@{env:CORE_REPO}\#egg=opentelemetry-proto&subdirectory=opentelemetry-proto
+  lint-loongsuite-instrumentation-deerflow: opentelemetry-exporter-otlp-proto-common@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-common&subdirectory=exporter/opentelemetry-exporter-otlp-proto-common
+  lint-loongsuite-instrumentation-deerflow: opentelemetry-exporter-otlp-proto-http@{env:CORE_REPO}\#egg=opentelemetry-exporter-otlp-proto-http&subdirectory=exporter/opentelemetry-exporter-otlp-proto-http
+  lint-loongsuite-instrumentation-deerflow: {[testenv]test_deps}
+  lint-loongsuite-instrumentation-deerflow: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests/requirements.oldest.txt
+
   microsoft-agent-framework: {[testenv]test_deps}
   microsoft-agent-framework: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-microsoft-agent-framework/tests/requirements.latest.txt
   lint-loongsuite-instrumentation-microsoft-agent-framework: {[testenv]test_deps}
@@ -323,6 +346,10 @@ commands =
   test-loongsuite-instrumentation-deepagents: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deepagents/tests {posargs}
   lint-loongsuite-instrumentation-deepagents: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deepagents
 
+  test-loongsuite-instrumentation-deerflow.stable: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests {posargs}
+  test-loongsuite-instrumentation-deerflow.current: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow/tests {posargs}
+  lint-loongsuite-instrumentation-deerflow: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-deerflow
+
   test-loongsuite-instrumentation-microsoft-agent-framework: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-microsoft-agent-framework/tests {posargs}
   lint-loongsuite-instrumentation-microsoft-agent-framework: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-microsoft-agent-framework
 
diff --git a/util/opentelemetry-util-genai/CHANGELOG-loongsuite.md b/util/opentelemetry-util-genai/CHANGELOG-loongsuite.md
index 3812b57b4..8b954fef4 100644
--- a/util/opentelemetry-util-genai/CHANGELOG-loongsuite.md
+++ b/util/opentelemetry-util-genai/CHANGELOG-loongsuite.md
@@ -7,6 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+### Fixed
+
+- Preserve an internal ENTRY-active context marker across nested spans so
+  framework adapters can honor an existing host application entry without
+  creating duplicate ENTRY spans.
+
 ## Version 0.7.0 (2026-07-03)
 
 ### Added
diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/extended_handler.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/extended_handler.py
index 3e6cfee7e..8678e444d 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/extended_handler.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/extended_handler.py
@@ -128,6 +128,16 @@
 from opentelemetry.util.genai.span_utils import _apply_error_attributes
 from opentelemetry.util.genai.types import Error, LLMInvocation
 
+_ENTRY_ACTIVE_CONTEXT_KEY = "loongsuite.gen_ai.entry.active"
+
+
+def is_entry_context_active(context: Context | None = None) -> bool:
+    """Return whether the current context is inside a LoongSuite ENTRY."""
+
+    return bool(
+        otel_context.get_value(_ENTRY_ACTIVE_CONTEXT_KEY, context=context)
+    )
+
 
 class ExtendedTelemetryHandler(MultimodalProcessingMixin, TelemetryHandler):  # pylint: disable=too-many-public-methods
     """
@@ -815,6 +825,7 @@ def start_entry(
         current_context = _current_context(context)
         _inject_agent_name_from_baggage(invocation, current_context)
         ctx = set_span_in_context(span, current_context)
+        ctx = otel_context.set_value(_ENTRY_ACTIVE_CONTEXT_KEY, True, ctx)
         if invocation.session_id is not None:
             ctx = baggage.set_baggage(
                 _GEN_AI_SESSION_ID, invocation.session_id, ctx
diff --git a/util/opentelemetry-util-genai/tests/test_extended_handler.py b/util/opentelemetry-util-genai/tests/test_extended_handler.py
index e279d9f43..9fe8b7089 100644
--- a/util/opentelemetry-util-genai/tests/test_extended_handler.py
+++ b/util/opentelemetry-util-genai/tests/test_extended_handler.py
@@ -61,6 +61,7 @@
 from opentelemetry.util.genai.extended_handler import (
     ExtendedTelemetryHandler,
     get_extended_telemetry_handler,
+    is_entry_context_active,
 )
 from opentelemetry.util.genai.extended_semconv.gen_ai_extended_attributes import (
     GEN_AI_EMBEDDINGS_DIMENSION_COUNT,
@@ -1465,6 +1466,17 @@ def test_entry_propagates_baggage_for_child_spans(self):
         self.assertNotIn("gen_ai.session.id", restored_baggage)
         self.assertNotIn("gen_ai.user.id", restored_baggage)
 
+    def test_entry_context_marker_survives_nested_child_span(self):
+        """ENTRY ancestry remains detectable when a child span is current."""
+        self.assertFalse(is_entry_context_active())
+
+        with self.telemetry_handler.entry():
+            self.assertTrue(is_entry_context_active())
+            with self.telemetry_handler.embedding():
+                self.assertTrue(is_entry_context_active())
+
+        self.assertFalse(is_entry_context_active())
+
     def test_entry_baggage_overwrites_existing(self):
         """If baggage already contains session_id/user_id, entry overwrites them."""
         ctx = baggage_api.set_baggage("gen_ai.session.id", "old_session")