fix(agno): remove pydantic runtime dependency

Author: sipercai

instrumentation-loongsuite/loongsuite-instrumentation-agno/CHANGELOG.md

@@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+### Removed
+
+- Remove the direct `pydantic` runtime dependency from Agno instrumentation.
+
 ## Version 0.6.0 (2026-06-03)
 
 ### Removed

instrumentation-loongsuite/loongsuite-instrumentation-agno/pyproject.toml

@@ -30,7 +30,6 @@ dependencies = [
   "opentelemetry-instrumentation >= 0.58b0",
   "opentelemetry-semantic-conventions >= 0.58b0",
   "opentelemetry-util-genai",
-  "pydantic",
   "wrapt >= 1.17.3, < 2.0.0",
 ]
 

instrumentation-loongsuite/loongsuite-instrumentation-agno/src/opentelemetry/instrumentation/agno/utils.py

@@ -18,8 +18,6 @@
 from dataclasses import asdict, is_dataclass
 from typing import Any, Mapping, Sequence
 
-from pydantic import BaseModel
-
 from opentelemetry.util.genai.extended_semconv.gen_ai_extended_attributes import (
     GEN_AI_SESSION_ID,
     GEN_AI_USER_ID,
@@ -62,8 +60,17 @@ def _to_dict(value: Any) -> dict[str, Any] | None:
         return None
     if isinstance(value, Mapping):
         return dict(value)
-    if isinstance(value, BaseModel):
-        return value.model_dump(mode="json")
+    model_dump = getattr(value, "model_dump", None)
+    if callable(model_dump):
+        try:
+            return model_dump(mode="json")
+        except TypeError:
+            try:
+                return model_dump()
+            except Exception:
+                return None
+        except Exception:
+            return None
     if is_dataclass(value):
         return asdict(value)
     to_dict = getattr(value, "to_dict", None)

instrumentation-loongsuite/loongsuite-instrumentation-agno/tests/test_agno.py

@@ -508,6 +508,39 @@ def test_tool_result_messages_do_not_duplicate_text_parts():
     assert parts[0].response == {"temperature": 21}
 
 
+def test_model_dump_objects_are_serialized_without_pydantic_base_class():
+    class ModelDumpToolCall:
+        def model_dump(self, mode="json"):
+            assert mode == "json"
+            return {
+                "id": "call_1",
+                "function": {
+                    "name": "get_weather",
+                    "arguments": '{"city":"Hangzhou"}',
+                },
+            }
+
+    messages = convert_agent_input(
+        [
+            SimpleNamespace(
+                role="assistant",
+                content=None,
+                tool_calls=[ModelDumpToolCall()],
+            )
+        ]
+    )
+
+    parts = messages[0].parts
+    tool_calls = [
+        part for part in parts if getattr(part, "type", None) == "tool_call"
+    ]
+
+    assert len(tool_calls) == 1
+    assert tool_calls[0].id == "call_1"
+    assert tool_calls[0].name == "get_weather"
+    assert tool_calls[0].arguments == {"city": "Hangzhou"}
+
+
 def test_missing_finish_reason_is_not_reported():
     agent = Agent(name="NoFinishReasonAgent", model=EchoModel(), tools=[])
     invocation = create_agent_invocation(agent, {"input": "hello"})