Tool decorator enhance

agentops/sdk/decorators/__init__.py

@@ -14,8 +14,9 @@
 operation = create_entity_decorator(SpanKind.OPERATION)
 workflow = create_entity_decorator(SpanKind.WORKFLOW)
 session = create_entity_decorator(SpanKind.SESSION)
+tool = create_entity_decorator(SpanKind.TOOL)
 operation = task
 
-__all__ = ["agent", "task", "workflow", "session", "operation"]
+__all__ = ["agent", "task", "workflow", "session", "operation", "tool"]
 
 # Create decorators task, workflow, session, agent

agentops/sdk/decorators/factory.py

@@ -2,10 +2,12 @@
 import functools
 import asyncio
 
+
 import wrapt  # type: ignore
 
 from agentops.logging import logger
 from agentops.sdk.core import TracingCore
+from agentops.semconv.span_attributes import SpanAttributes
 
 from .utility import (
     _create_as_current_span,
@@ -28,17 +30,18 @@
         A decorator with optional arguments for name and version
     """
 
-    def decorator(wrapped=None, *, name=None, version=None):
+    def decorator(wrapped=None, *, name=None, version=None, cost=None):
         # Handle case where decorator is called with parameters
         if wrapped is None:
-            return functools.partial(decorator, name=name, version=version)
+            return functools.partial(decorator, name=name, version=version, cost=cost)
 
         # Handle class decoration
         if inspect.isclass(wrapped):
             # Create a proxy class that wraps the original class
             class WrappedClass(wrapped):
                 def __init__(self, *args, **kwargs):
                     operation_name = name or wrapped.__name__
+
                     self._agentops_span_context_manager = _create_as_current_span(operation_name, entity_kind, version)
                     self._agentops_active_span = self._agentops_span_context_manager.__enter__()
 
@@ -51,23 +54,18 @@
                     super().__init__(*args, **kwargs)
 
                 async def __aenter__(self):
-                    # Added for async context manager support
-                    # This allows using the class with 'async with' statement
-
                     # If span is already created in __init__, just return self
                     if hasattr(self, "_agentops_active_span") and self._agentops_active_span is not None:
                         return self
 
                     # Otherwise create span (for backward compatibility)
                     operation_name = name or wrapped.__name__
+
                     self._agentops_span_context_manager = _create_as_current_span(operation_name, entity_kind, version)
                     self._agentops_active_span = self._agentops_span_context_manager.__enter__()
                     return self
 
                 async def __aexit__(self, exc_type, exc_val, exc_tb):
-                    # Added for proper async cleanup
-                    # This ensures spans are properly closed when using 'async with'
-
                     if hasattr(self, "_agentops_active_span") and hasattr(self, "_agentops_span_context_manager"):
                         try:
                             _record_entity_output(self._agentops_active_span, self)
@@ -104,10 +102,12 @@
 
             # Handle generator functions
             if is_generator:
-                # Use the old approach for generators
                 span, ctx, token = _make_span(operation_name, entity_kind, version)
                 try:
                     _record_entity_input(span, args, kwargs)
+                    # Set cost attribute if tool
+                    if entity_kind == "tool" and cost is not None:
+                        span.set_attribute(SpanAttributes.LLM_USAGE_TOOL_COST, cost)
                 except Exception as e:
                     logger.warning(f"Failed to record entity input: {e}")
 
@@ -116,10 +116,12 @@
 
             # Handle async generator functions
             elif is_async_generator:
-                # Use the old approach for async generators
                 span, ctx, token = _make_span(operation_name, entity_kind, version)
                 try:
                     _record_entity_input(span, args, kwargs)
+                    # Set cost attribute if tool
+                    if entity_kind == "tool" and cost is not None:
+                        span.set_attribute(SpanAttributes.LLM_USAGE_TOOL_COST, cost)
                 except Exception as e:
                     logger.warning(f"Failed to record entity input: {e}")
 
@@ -133,6 +135,9 @@
                     with _create_as_current_span(operation_name, entity_kind, version) as span:
                         try:
                             _record_entity_input(span, args, kwargs)
+                            # Set cost attribute if tool
+                            if entity_kind == "tool" and cost is not None:
+                                span.set_attribute(SpanAttributes.LLM_USAGE_TOOL_COST, cost)
                         except Exception as e:
                             logger.warning(f"Failed to record entity input: {e}")
 
@@ -144,6 +149,7 @@
                                 logger.warning(f"Failed to record entity output: {e}")
                             return result
                         except Exception as e:
+                            logger.error(f"Error in async function execution: {e}")
                             span.record_exception(e)
                             raise
 
@@ -154,7 +160,9 @@
                 with _create_as_current_span(operation_name, entity_kind, version) as span:
                     try:
                         _record_entity_input(span, args, kwargs)
-
+                        # Set cost attribute if tool
+                        if entity_kind == "tool" and cost is not None:
+                            span.set_attribute(SpanAttributes.LLM_USAGE_TOOL_COST, cost)
                     except Exception as e:
                         logger.warning(f"Failed to record entity input: {e}")
 
@@ -167,6 +175,7 @@
                             logger.warning(f"Failed to record entity output: {e}")
                         return result
                     except Exception as e:
+                        logger.error(f"Error in sync function execution: {e}")
                         span.record_exception(e)
                         raise
 

agentops/semconv/span_attributes.py

@@ -65,6 +65,7 @@ class SpanAttributes:
     LLM_USAGE_CACHE_READ_INPUT_TOKENS = "gen_ai.usage.cache_read_input_tokens"
     LLM_USAGE_REASONING_TOKENS = "gen_ai.usage.reasoning_tokens"
     LLM_USAGE_STREAMING_TOKENS = "gen_ai.usage.streaming_tokens"
+    LLM_USAGE_TOOL_COST = "gen_ai.usage.total_cost"
 
     # Message attributes
     # see ./message.py for message-related attributes

docs/v1/concepts/sessions.mdx

@@ -28,6 +28,7 @@ Optionally, sessions may include:
 - **Host Environment**: Automatically gathers basic information about the system on which the session ran.
 - **Video**: If applicable, an optional video recording of the session.
 
+
 ### Methods
 #### `end_session`
 **Params**

docs/v2/concepts/decorators.mdx

@@ -13,6 +13,7 @@ AgentOps provides the following decorators:
 | `@operation` | Track discrete operations performed by agents | OPERATION span |
 | `@workflow` | Track a sequence of operations | WORKFLOW span |
 | `@task` | Track smaller units of work (similar to operations) | TASK span |
+| `@tool` | Track tool usage and cost in agent operations | TOOL span |
 
 ## Decorator Hierarchy
 
@@ -190,6 +191,50 @@ class DataProcessor:
 
 The `@task` and `@operation` decorators function identically (they are aliases in the codebase), and you can choose the one that best fits your semantic needs.
 
+### @tool
+
+The `@tool` decorator tracks tool usage within agent operations and supports cost tracking. It works with all function types: synchronous, asynchronous, generator, and async generator.
+
+```python
+from agentops.sdk.decorators import agent, tool
+import asyncio
+
+@agent
+class ProcessingAgent:
+    def __init__(self):
+        pass
+
+    @tool(cost=0.01)
+    def sync_tool(self, item):
+        """Synchronous tool with cost tracking."""
+        return f"Processed {item}"
+
+    @tool(cost=0.02)
+    async def async_tool(self, item):
+        """Asynchronous tool with cost tracking."""
+        await asyncio.sleep(0.1)
+        return f"Async processed {item}"
+
+    @tool(cost=0.03)
+    def generator_tool(self, items):
+        """Generator tool with cost tracking."""
+        for item in items:
+            yield self.sync_tool(item)
+
+    @tool(cost=0.04)
+    async def async_generator_tool(self, items):
+        """Async generator tool with cost tracking."""
+        for item in items:
+            await asyncio.sleep(0.1)
+            yield await self.async_tool(item)
+```
+
+The tool decorator provides:
+- Cost tracking for each tool call
+- Proper span creation and nesting
+- Support for all function types (sync, async, generator, async generator)
+- Cost accumulation in generator and async generator operations
+
 ## Decorator Attributes
 
 You can pass additional attributes to decorators:

docs/v2/usage/sdk-reference.mdx

@@ -145,6 +145,7 @@ my_workflow()
 - `@agent`: Creates an agent span for tracking agent operations
 - `@operation` / `@task`: Creates operation/task spans for tracking specific operations (these are aliases)
 - `@workflow`: Creates workflow spans for organizing related operations
+- `@tool`: Creates tool spans for tracking tool usage and cost in agent operations. Supports cost parameter for tracking tool usage costs.
 
 See [Decorators](/v2/concepts/decorators) for more detailed documentation on using these decorators.
 

tests/unit/sdk/test_decorators.py

@@ -2,7 +2,7 @@
 import asyncio
 import pytest
 
-from agentops.sdk.decorators import agent, operation, session, workflow, task
+from agentops.sdk.decorators import agent, operation, session, workflow, task, tool
 from agentops.semconv import SpanKind
 from agentops.semconv.span_attributes import SpanAttributes
 from tests.unit.sdk.instrumentation_tester import InstrumentationTester
@@ -624,3 +624,140 @@ def __init__(self):
     with pytest.raises(ValueError):
         async with TestClass() as instance:
             raise ValueError("Trigger exception for __aexit__ coverage")
+
+
+class TestToolDecorator:
+    """Tests for the tool decorator functionality."""
+
+    @pytest.fixture
+    def agent_class(self):
+        @agent
+        class TestAgent:
+            @tool(cost=0.01)
+            def process_item(self, item):
+                return f"Processed {item}"
+
+            @tool(cost=0.02)
+            async def async_process_item(self, item):
+                await asyncio.sleep(0.1)
+                return f"Async processed {item}"
+
+            @tool(cost=0.03)
+            def generator_process_items(self, items):
+                for item in items:
+                    yield self.process_item(item)
+
+            @tool(cost=0.04)
+            async def async_generator_process_items(self, items):
+                for item in items:
+                    await asyncio.sleep(0.1)
+                    yield await self.async_process_item(item)
+
+        return TestAgent()
+
+    def test_sync_tool_cost(self, agent_class, instrumentation: InstrumentationTester):
+        """Test synchronous tool with cost attribute."""
+        result = agent_class.process_item("test")
+
+        assert result == "Processed test"
+
+        spans = instrumentation.get_finished_spans()
+        tool_span = next(
+            span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL
+        )
+        assert tool_span.attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.01
+
+    @pytest.mark.asyncio
+    async def test_async_tool_cost(self, agent_class, instrumentation: InstrumentationTester):
+        """Test asynchronous tool with cost attribute."""
+        result = await agent_class.async_process_item("test")
+
+        assert result == "Async processed test"
+
+        spans = instrumentation.get_finished_spans()
+        tool_span = next(
+            span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL
+        )
+        assert tool_span.attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.02
+
+    def test_generator_tool_cost(self, agent_class, instrumentation: InstrumentationTester):
+        """Test generator tool with cost attribute."""
+        items = ["item1", "item2", "item3"]
+        results = list(agent_class.generator_process_items(items))
+
+        assert len(results) == 3
+        assert results[0] == "Processed item1"
+        assert results[1] == "Processed item2"
+        assert results[2] == "Processed item3"
+
+        spans = instrumentation.get_finished_spans()
+        tool_spans = [span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL]
+        assert len(tool_spans) == 4  # Only one span for the generator
+        assert tool_spans[0].attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.01
+        assert tool_spans[3].attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.03
+
+    @pytest.mark.asyncio
+    async def test_async_generator_tool_cost(self, agent_class, instrumentation: InstrumentationTester):
+        """Test async generator tool with cost attribute."""
+        items = ["item1", "item2", "item3"]
+        results = [result async for result in agent_class.async_generator_process_items(items)]
+
+        assert len(results) == 3
+        assert results[0] == "Async processed item1"
+        assert results[1] == "Async processed item2"
+        assert results[2] == "Async processed item3"
+
+        spans = instrumentation.get_finished_spans()
+        tool_span = [span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL]
+        assert len(tool_span) == 4  # Only one span for the generator
+        assert tool_span[0].attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.02
+        assert tool_span[3].attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.04
+
+    def test_multiple_tool_calls(self, agent_class, instrumentation: InstrumentationTester):
+        """Test multiple calls to the same tool."""
+        for i in range(3):
+            result = agent_class.process_item(f"item{i}")
+            assert result == f"Processed item{i}"
+
+        spans = instrumentation.get_finished_spans()
+        tool_spans = [span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL]
+        assert len(tool_spans) == 3
+        for span in tool_spans:
+            assert span.attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.01
+
+    @pytest.mark.asyncio
+    async def test_parallel_tool_calls(self, agent_class, instrumentation: InstrumentationTester):
+        """Test parallel execution of async tools."""
+        results = await asyncio.gather(
+            agent_class.async_process_item("item1"),
+            agent_class.async_process_item("item2"),
+            agent_class.async_process_item("item3"),
+        )
+
+        assert len(results) == 3
+        assert results[0] == "Async processed item1"
+        assert results[1] == "Async processed item2"
+        assert results[2] == "Async processed item3"
+
+        spans = instrumentation.get_finished_spans()
+        tool_spans = [span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL]
+        assert len(tool_spans) == 3
+        for span in tool_spans:
+            assert span.attributes.get(SpanAttributes.LLM_USAGE_TOOL_COST) == 0.02
+
+    def test_tool_without_cost(self, agent_class, instrumentation: InstrumentationTester):
+        """Test tool without cost parameter."""
+
+        @tool
+        def no_cost_tool(self):
+            return "No cost tool result"
+
+        result = no_cost_tool(agent_class)
+
+        assert result == "No cost tool result"
+
+        spans = instrumentation.get_finished_spans()
+        tool_span = next(
+            span for span in spans if span.attributes.get(SpanAttributes.AGENTOPS_SPAN_KIND) == SpanKind.TOOL
+        )
+        assert SpanAttributes.LLM_USAGE_TOOL_COST not in tool_span.attributes