feat: improve OpenTelemetry semantic convention attribute coverage

Add missing GenAI semantic convention attributes across instrumentation plugins:

- execute_tool spans: add tool_type="function" (Recommended)
- invoke_agent spans: add agent_id (Conditionally Required)
- inference spans: add server_address/server_port (Conditionally Required)
- inference spans: add response_id extraction (Recommended)

Plugins modified:
- hermes-agent: agent_id, server_address/port from base_url, tool_type
- vita: agent_id, tool_type, response_id, server_address inference
- langchain: agent_id, tool_type
- dashscope: server_address/port
- widesearch: agent_id
- agentscope: tool_type
- qwen-agent: agent_id, tool_type
- minisweagent: agent_id
- google-adk: agent_id, tool_type
- claude-agent-sdk: tool_type

Change-Id: I21fc87489630d2ac6a0d9df22ef70dde60c57fff
Co-developed-by: Qoder <noreply@qoder.com>

Author: 123liuziming

instrumentation-loongsuite/loongsuite-instrumentation-agentscope/src/opentelemetry/instrumentation/agentscope/patch.py

@@ -403,6 +403,7 @@ async def wrap_tool_call(wrapped, instance, args, kwargs, handler):
     # Create invocation object with all tool data
     invocation = ExecuteToolInvocation(
         tool_name=tool_name,
+        tool_type="function",
         tool_call_id=tool_id,
         tool_description=tool_description,
         tool_call_arguments=tool_args,

instrumentation-loongsuite/loongsuite-instrumentation-agentscope/tests/test_skill_detection.py

@@ -283,6 +283,7 @@ async def fake_tool_generator():
 
         invocation = ExecuteToolInvocation(
             tool_name="read_file",
+            tool_type="function",
             skill_name="news",
             skill_id="workspace:default:news",
             skill_description="Latest news",

instrumentation-loongsuite/loongsuite-instrumentation-claude-agent-sdk/src/opentelemetry/instrumentation/claude_agent_sdk/patch.py

@@ -159,6 +159,7 @@ def _create_tool_spans_from_message(
             try:
                 tool_invocation = ExecuteToolInvocation(
                     tool_name=tool_name,
+                    tool_type="function",
                     tool_call_id=tool_use_id,
                     tool_call_arguments=tool_input,
                     tool_description=tool_name,

instrumentation-loongsuite/loongsuite-instrumentation-dashscope/src/opentelemetry/instrumentation/dashscope/utils/generation.py

@@ -469,6 +469,8 @@ def _create_invocation_from_generation(
 
     invocation = LLMInvocation(request_model=request_model)
     invocation.provider = "dashscope"
+    invocation.server_address = "dashscope.aliyuncs.com"
+    invocation.server_port = 443
     invocation.input_messages = _extract_input_messages(kwargs)
 
     # Extract tool definitions and convert to FunctionToolDefinition objects

instrumentation-loongsuite/loongsuite-instrumentation-google-adk/src/opentelemetry/instrumentation/google_adk/internal/_plugin.py

@@ -119,6 +119,7 @@ async def before_run_callback(
             invocation = InvokeAgentInvocation(
                 provider="google_adk",
                 agent_name=invocation_context.app_name,
+                agent_id=invocation_context.app_name,
             )
 
             # Set conversation_id if available
@@ -275,6 +276,7 @@ async def before_agent_callback(
             invocation = InvokeAgentInvocation(
                 provider="google_adk",
                 agent_name=agent.name,
+                agent_id=agent.name,
             )
 
             # Set agent attributes
@@ -508,6 +510,7 @@ async def before_tool_callback(
             # Create invocation object
             invocation = ExecuteToolInvocation(
                 tool_name=tool.name,
+                tool_type="function",
                 provider="google_adk",
             )
 

instrumentation-loongsuite/loongsuite-instrumentation-hermes-agent/src/opentelemetry/instrumentation/hermes_agent/helpers.py

@@ -571,6 +571,7 @@ def create_agent_invocation(
     invocation = InvokeAgentInvocation(
         provider=_HERMES_AGENT_SYSTEM,
         agent_name="Hermes",
+        agent_id="hermes-agent",
         conversation_id=getattr(instance, "session_id", None),
         request_model=getattr(instance, "model", None),
         input_messages=[
@@ -609,6 +610,25 @@ def should_create_entry_for_agent(instance: Any) -> bool:
     return bool(_entry_platform(instance))
 
 
+def _extract_server_info(instance: Any) -> tuple[str | None, int | None]:
+    """Extract server address and port from instance base_url."""
+    base_url = getattr(instance, "base_url", None)
+    if not base_url:
+        return None, None
+    base_url_str = str(base_url).rstrip("/")
+    try:
+        from urllib.parse import urlparse
+
+        parsed = urlparse(base_url_str)
+        address = parsed.hostname
+        port = parsed.port
+        if port is None:
+            port = 443 if parsed.scheme == "https" else 80
+        return address, port
+    except Exception:
+        return None, None
+
+
 def create_llm_invocation(instance: Any, api_kwargs: Any) -> LLMInvocation:
     if not isinstance(api_kwargs, dict):
         api_kwargs = {}
@@ -620,6 +640,8 @@ def create_llm_invocation(instance: Any, api_kwargs: Any) -> LLMInvocation:
     if max_tokens is None:
         max_tokens = api_kwargs.get("max_output_tokens")
 
+    server_address, server_port = _extract_server_info(instance)
+
     invocation = LLMInvocation(
         provider=provider_name(instance),
         request_model=request_model or None,
@@ -633,6 +655,8 @@ def create_llm_invocation(instance: Any, api_kwargs: Any) -> LLMInvocation:
         presence_penalty=api_kwargs.get("presence_penalty"),
         seed=api_kwargs.get("seed"),
         stop_sequences=api_kwargs.get("stop"),
+        server_address=server_address,
+        server_port=server_port,
     )
     return invocation
 
@@ -683,6 +707,7 @@ def create_tool_invocation(
         tool_name=tool_name,
         provider=provider or _HERMES_AGENT_SYSTEM,
     )
+    invocation.tool_type = "function"
     if invocation.provider:
         invocation.attributes["gen_ai.provider.name"] = invocation.provider
     if arguments is not None:

instrumentation-loongsuite/loongsuite-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/internal/_tracer.py

@@ -407,6 +407,7 @@ def _start_agent(self, run: Run) -> None:
         invocation = InvokeAgentInvocation(
             provider="langchain",
             agent_name=agent_name,
+            agent_id=agent_name or None,
             input_messages=input_messages,
         )
         self._handler.start_invoke_agent(invocation, context=parent_ctx)
@@ -571,6 +572,7 @@ def _on_tool_start(self, run: Run) -> None:
                 tool_name=run.name or "unknown_tool",
                 tool_call_arguments=input_str,
                 tool_call_id=tool_call_id,
+                tool_type="function",
             )
             self._handler.start_execute_tool(invocation, context=parent_ctx)
             rd = _RunData(

instrumentation-loongsuite/loongsuite-instrumentation-minisweagent/src/opentelemetry/instrumentation/minisweagent/internal/agent_wrappers.py

@@ -113,7 +113,8 @@ def __call__(
             han.start_entry(entry_inv, context=context_api.get_current())
 
         inv = InvokeAgentInvocation(
-            provider="minisweagent", agent_name=agent_name
+            provider="minisweagent", agent_name=agent_name,
+            agent_id=agent_name,
         )
         inv.request_model = _request_model_from_agent(instance)
         inv.attributes.setdefault("gen_ai.framework", "minisweagent")

instrumentation-loongsuite/loongsuite-instrumentation-qwen-agent/src/opentelemetry/instrumentation/qwen_agent/utils.py

@@ -406,6 +406,7 @@ def _create_agent_invocation(
     invocation = InvokeAgentInvocation(
         provider=provider_name,
         agent_name=agent_name,
+        agent_id=agent_name,
         agent_description=agent_description,
         request_model=request_model,
         input_messages=input_messages,
@@ -462,6 +463,7 @@ def _create_tool_invocation(
 
     return ExecuteToolInvocation(
         tool_name=tool_name,
+        tool_type="function",
         tool_call_arguments=parsed_args,
         tool_description=tool_description,
     )

instrumentation-loongsuite/loongsuite-instrumentation-vita/src/opentelemetry/instrumentation/vita/patch.py

@@ -300,6 +300,7 @@ def wrap_generate_next_message(
         invocation = InvokeAgentInvocation(
             provider="vitabench",
             agent_name=agent_name,
+            agent_id=agent_name,
             request_model=model,
         )
 
@@ -398,6 +399,11 @@ def wrap_generate(
             # response_model_name
             invocation.response_model_name = model
 
+            # response_id
+            resp_id = getattr(result, "id", None) or getattr(result, "response_id", None)
+            if resp_id:
+                invocation.response_id = str(resp_id)
+
             # finish_reasons
             if getattr(result, "tool_calls", None):
                 invocation.finish_reasons = ["tool_calls"]
@@ -433,6 +439,7 @@ def wrap_get_response(
         tool_name=tool_name,
         tool_call_id=tool_call_id,
         provider="vitabench",
+        tool_type="function",
     )
 
     # tool_call_arguments