diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index f356409..7521eda 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -112,9 +112,20 @@ jobs: run: | A365_SDK_VERSION=${{ needs.version-number.outputs.PYTHON_PACKAGE_VERSION }} uv build --all-packages --wheel - - name: Run tests + - name: Run unit tests run: | - uv run --frozen python -m pytest tests/ -v --tb=short + uv run --frozen python -m pytest tests/ -v --tb=short -m "not integration" + + - name: Run integration tests + # Only run integration tests if secrets are available + if: ${{ vars.RUN_INTEGRATION_TESTS == 'true' }} + run: | + uv run --frozen python -m pytest tests/integration/ -v --tb=short -m integration + env: + AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }} + AZURE_OPENAI_DEPLOYMENT: ${{ vars.AZURE_OPENAI_DEPLOYMENT }} + AZURE_OPENAI_API_VERSION: ${{ vars.AZURE_OPENAI_API_VERSION }} # Copy package and samples to drop folder - name: Copy package and samples to drop folder diff --git a/libraries/microsoft-agents-a365-observability-extensions-langchain/README.md b/libraries/microsoft-agents-a365-observability-extensions-langchain/README.md index 277c39b..7d2eb34 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-langchain/README.md +++ b/libraries/microsoft-agents-a365-observability-extensions-langchain/README.md @@ -44,7 +44,7 @@ The Microsoft Agent 365 LangChain Observability Extensions automatically instrum ```python from microsoft_agents_a365.observability.core.config import configure -from microsoft_agents_a365.observability.extensions.langchain import KairoInstrumentorLangChain +from microsoft_agents_a365.observability.extensions.langchain import CustomLangChainInstrumentor # Configure observability configure( @@ -53,7 +53,7 @@ configure( ) # Enable automatic instrumentation -instrumentor = KairoInstrumentorLangChain() +instrumentor = CustomLangChainInstrumentor() instrumentor.instrument() # Your LangChain code is now automatically traced @@ -84,7 +84,7 @@ instrumentor.instrument() ```properties # Core observability settings ENABLE_OBSERVABILITY=true -ENABLE_KAIRO_EXPORTER=true +ENABLE_A365_OBSERVABILITY_EXPORTER=true PYTHON_ENVIRONMENT=production # LangChain-specific settings diff --git a/libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer_instrumentor.py b/libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer_instrumentor.py index 035ce57..4fd843b 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer_instrumentor.py +++ b/libraries/microsoft-agents-a365-observability-extensions-langchain/microsoft_agents_a365/observability/extensions/langchain/tracer_instrumentor.py @@ -9,15 +9,15 @@ import langchain_core import opentelemetry.trace as optel_trace from langchain_core.callbacks import BaseCallbackManager -from opentelemetry.instrumentation.instrumentor import BaseInstrumentor -from opentelemetry.trace import Span -from wrapt import wrap_function_wrapper - from microsoft_agents_a365.observability.core.config import ( get_tracer, get_tracer_provider, is_configured, ) +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor +from opentelemetry.trace import Span +from wrapt import wrap_function_wrapper + from microsoft_agents_a365.observability.extensions.langchain.tracer import CustomLangChainTracer _INSTRUMENTS: str = "langchain_core >= 0.1.0" @@ -48,7 +48,7 @@ def _instrument(self, **kwargs: Any) -> None: tracer_name: str | None = kwargs.get("tracer_name") tracer_version: str | None = kwargs.get("tracer_version") - # Prefer the Kairo tracer; fall back to OpenTelemetry’s default if needed. + # Prefer the Agent365 tracer; fall back to OpenTelemetry’s default if needed. try: tracer = get_tracer(tracer_name, tracer_version) except Exception: diff --git a/libraries/microsoft-agents-a365-observability-extensions-langchain/pyproject.toml b/libraries/microsoft-agents-a365-observability-extensions-langchain/pyproject.toml index 9a73c0a..80366b7 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-langchain/pyproject.toml +++ b/libraries/microsoft-agents-a365-observability-extensions-langchain/pyproject.toml @@ -37,7 +37,7 @@ dependencies = [ Homepage = "https://github.com/microsoft/Agent365" Repository = "https://github.com/microsoft/Agent365" Issues = "https://github.com/microsoft/Agent365/issues" -Documentation = "https://github.com/microsoft/Agent365/tree/main/python/microsoft_kairo/observability/wrappers/langchain" +Documentation = "https://github.com/microsoft/Agent365-python/tree/main/libraries/microsoft-agents-a365-observability-extensions-langchain" [project.optional-dependencies] dev = [ diff --git a/libraries/microsoft-agents-a365-observability-extensions-openai/README.md b/libraries/microsoft-agents-a365-observability-extensions-openai/README.md index 2f1b738..1faadf6 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-openai/README.md +++ b/libraries/microsoft-agents-a365-observability-extensions-openai/README.md @@ -45,7 +45,7 @@ The Microsoft Agent 365 OpenAI Agents Observability Extensions automatically ins ```python from microsoft_agents_a365.observability.core.config import configure -from microsoft_agents_a365.observability.extensions.openai_agents import KairoInstrumentorOpenAIAgents +from microsoft_agents_a365.observability.extensions.openai_agents import OpenAIAgentsTraceInstrumentor # Configure observability configure( @@ -54,7 +54,7 @@ configure( ) # Enable automatic instrumentation -instrumentor = KairoInstrumentorOpenAIAgents() +instrumentor = OpenAIAgentsTraceInstrumentor() instrumentor.instrument() # Your OpenAI Agents code is now automatically traced diff --git a/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/__init__.py b/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/__init__.py index ca412c7..1ac3021 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/__init__.py +++ b/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/__init__.py @@ -1,9 +1,9 @@ # Copyright (c) Microsoft. All rights reserved. """ -Wraps the OpenAI Agents SDK tracer to integrate with our Kairo Telemetry Solution. +Wraps the OpenAI Agents SDK tracer to integrate with our Agent365 Telemetry Solution. """ -from .trace_instrumentor import KairoInstrumentorOpenAIAgents +from .trace_instrumentor import OpenAIAgentsTraceInstrumentor -__all__ = ["KairoInstrumentorOpenAIAgents"] +__all__ = ["OpenAIAgentsTraceInstrumentor"] diff --git a/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/trace_instrumentor.py b/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/trace_instrumentor.py index d943d5d..6e8fd0c 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/trace_instrumentor.py +++ b/libraries/microsoft-agents-a365-observability-extensions-openai/microsoft_agents_a365/observability/extensions/openai/trace_instrumentor.py @@ -8,11 +8,10 @@ import opentelemetry.trace as optel_trace from agents import set_trace_processors +from microsoft_agents_a365.observability.core import get_tracer, get_tracer_provider, is_configured from opentelemetry.instrumentation.instrumentor import BaseInstrumentor from opentelemetry.trace import Tracer -from microsoft_agents_a365.observability.core import get_tracer, get_tracer_provider, is_configured - from .trace_processor import OpenAIAgentsTraceProcessor logging.basicConfig(level=logging.INFO) @@ -21,23 +20,23 @@ _instruments = ("openai-agents >= 0.2.6",) -class KairoInstrumentorOpenAIAgents(BaseInstrumentor): +class OpenAIAgentsTraceInstrumentor(BaseInstrumentor): """ - Custom Trace Processor for OpenAI Agents SDK using Kairo. - Forwards OpenAI Agents SDK traces and spans to Kairo's tracing scopes. + Custom Trace Processor for OpenAI Agents SDK using Agent365. + Forwards OpenAI Agents SDK traces and spans to Agent365's tracing scopes. ``` """ def __init__(self): - """Initialize the KairoInstrumentorOpenAIAgents. - Raises: RuntimeError: If Kairo is not configured. + """Initialize the OpenAIAgentsTraceInstrumentor. + Raises: RuntimeError: If Agent365 is not configured. """ - # Verify if Kairo is configured - kairo_status = is_configured() - if not kairo_status: + # Verify if Agent365 is configured + Agent365_status = is_configured() + if not Agent365_status: raise RuntimeError( - "Kairo is not configured yet. Please configure Kairo before initializing this instrumentor." + "Agent365 is not configured yet. Please configure Agent365 before initializing this instrumentor." ) super().__init__() @@ -45,27 +44,27 @@ def instrumentation_dependencies(self) -> Collection[str]: return _instruments def _instrument(self, **kwargs: Any) -> None: - """Instruments the OpenAI Agents SDK with Kairo tracing.""" + """Instruments the OpenAI Agents SDK with Agent365 tracing.""" tracer_name = kwargs["tracer_name"] if kwargs.get("tracer_name") else None tracer_version = kwargs["tracer_version"] if kwargs.get("tracer_version") else None - # Get the configured Kairo Tracer + # Get the configured Agent365 Tracer try: tracer = get_tracer(tracer_name, tracer_version) except Exception: # fallback tracer = optel_trace.get_tracer(tracer_name, tracer_version) - # Get the configured Kairo Tracer Provider instance + # Get the configured Agent365 Tracer Provider instance try: get_tracer_provider() except Exception: # fallback optel_trace.get_tracer_provider() - kairo_tracer = cast(Tracer, tracer) + agent365_tracer = cast(Tracer, tracer) - set_trace_processors([OpenAIAgentsTraceProcessor(kairo_tracer)]) + set_trace_processors([OpenAIAgentsTraceProcessor(agent365_tracer)]) def _uninstrument(self, **kwargs: Any) -> None: pass diff --git a/libraries/microsoft-agents-a365-observability-extensions-openai/pyproject.toml b/libraries/microsoft-agents-a365-observability-extensions-openai/pyproject.toml index 6ede0ac..3857e84 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-openai/pyproject.toml +++ b/libraries/microsoft-agents-a365-observability-extensions-openai/pyproject.toml @@ -36,7 +36,7 @@ dependencies = [ Homepage = "https://github.com/microsoft/Agent365" Repository = "https://github.com/microsoft/Agent365" Issues = "https://github.com/microsoft/Agent365/issues" -Documentation = "https://github.com/microsoft/Agent365/tree/main/python/microsoft_kairo/observability/wrappers/openai_agents" +Documentation = "https://github.com/microsoft/Agent365-python/tree/main/libraries/microsoft-agents-a365-observability-extensions-openai" [project.optional-dependencies] dev = [ diff --git a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/README.md b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/README.md index 9d24efb..96ef89a 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/README.md +++ b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/README.md @@ -46,7 +46,7 @@ The Microsoft Agent 365 Semantic Kernel Observability Extensions automatically i ```python from microsoft_agents_a365.observability.core.config import configure -from microsoft_agents_a365.observability.extensions.semantic_kernel import KairoInstrumentorSemanticKernel +from microsoft_agents_a365.observability.extensions.semantic_kernel import SemanticKernelInstrumentor # Configure observability configure( @@ -55,7 +55,7 @@ configure( ) # Enable automatic instrumentation -instrumentor = KairoInstrumentorSemanticKernel() +instrumentor = SemanticKernelInstrumentor() instrumentor.instrument() # Your Semantic Kernel code is now automatically traced diff --git a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/microsoft_agents_a365/observability/extensions/semantickernel/trace_instrumentor.py b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/microsoft_agents_a365/observability/extensions/semantickernel/trace_instrumentor.py index f95e094..1c98669 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/microsoft_agents_a365/observability/extensions/semantickernel/trace_instrumentor.py +++ b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/microsoft_agents_a365/observability/extensions/semantickernel/trace_instrumentor.py @@ -5,9 +5,9 @@ from collections.abc import Collection from typing import Any +from microsoft_agents_a365.observability.core.config import get_tracer_provider, is_configured from opentelemetry.instrumentation.instrumentor import BaseInstrumentor -from microsoft_agents_a365.observability.core.config import get_tracer_provider, is_configured from microsoft_agents_a365.observability.extensions.semantickernel.span_processor import ( SemanticKernelSpanProcessor, ) @@ -28,7 +28,7 @@ class SemanticKernelInstrumentor(BaseInstrumentor): def __init__(self): if not is_configured(): raise RuntimeError( - "Kairo (or your telemetry config) is not initialized. Configure it before instrumenting." + "Agent365 (or your telemetry config) is not initialized. Configure it before instrumenting." ) super().__init__() diff --git a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/pyproject.toml b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/pyproject.toml index e291001..660b8ef 100644 --- a/libraries/microsoft-agents-a365-observability-extensions-semantickernel/pyproject.toml +++ b/libraries/microsoft-agents-a365-observability-extensions-semantickernel/pyproject.toml @@ -36,7 +36,7 @@ dependencies = [ Homepage = "https://github.com/microsoft/Agent365" Repository = "https://github.com/microsoft/Agent365" Issues = "https://github.com/microsoft/Agent365/issues" -Documentation = "https://github.com/microsoft/Agent365/tree/main/python/microsoft_kairo/observability/wrappers/semantic_kernel" +Documentation = "https://github.com/microsoft/Agent365-python/tree/main/libraries/microsoft-agents-a365-observability-extensions-semantickernel" [project.optional-dependencies] dev = [ diff --git a/pyproject.toml b/pyproject.toml index 58324dd..7c159cb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,6 +27,34 @@ microsoft-agents-a365-observability-core = { workspace = true } microsoft-agents-a365-runtime = { workspace = true } microsoft-agents-a365-tooling = { workspace = true } +# Development dependencies for the entire workspace +[tool.uv] +dev-dependencies = [ + "pytest>=7.0.0", + "pytest-asyncio>=0.21.0", + "pytest-mock>=3.10.0", + "ruff>=0.1.0", + "python-dotenv>=1.0.0", + "openai>=1.0.0", + "azure-identity>=1.12.0", + "openai-agents >= 0.2.6", +] + +# Test configuration +[tool.pytest.ini_options] +minversion = "7.0" +addopts = [ + "-v", + "--tb=short", + "--strict-markers", + "--strict-config", +] +testpaths = ["tests"] +markers = [ + "unit: Unit tests (fast, mocked)", + "integration: Integration tests (slow, real services)", +] + [tool.ruff] # Set the maximum line length to 100. line-length = 100 diff --git a/tests/.env.example b/tests/.env.example index 89af5ed..98970f5 100644 --- a/tests/.env.example +++ b/tests/.env.example @@ -12,3 +12,4 @@ OTEL_SDK_DISABLED=false AZURE_OPENAI_API_VERSION={optional} AZURE_OPENAI_ENDPOINT={optional} AZURE_OPENAI_DEPLOYMENT={optional} +AZURE_OPENAI_API_KEY={required_for_integration_tests} diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..672c50f --- /dev/null +++ b/tests/integration/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +"""Integration tests for Agent365 Python SDK.""" diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py new file mode 100644 index 0000000..9064a4d --- /dev/null +++ b/tests/integration/conftest.py @@ -0,0 +1,56 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +import os +from pathlib import Path +from typing import Any + +import pytest + +# Load .env file if it exists (for local development) +try: + from dotenv import load_dotenv + + # Look for .env file in tests directory + env_file = Path(__file__).parent.parent / ".env" + if env_file.exists(): + load_dotenv(env_file) +except ImportError: + # python-dotenv not installed, skip loading .env file + pass + + +def pytest_configure(config): + """Add integration marker.""" + config.addinivalue_line("markers", "integration: marks tests as integration tests") + + +@pytest.fixture(scope="session") +def azure_openai_config() -> dict[str, Any]: + """Azure OpenAI configuration for integration tests.""" + api_key = os.getenv("AZURE_OPENAI_API_KEY") + endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") + deployment = os.getenv("AZURE_OPENAI_DEPLOYMENT", "gpt-4") + api_version = os.getenv("AZURE_OPENAI_API_VERSION", "2024-08-01-preview") + + if not api_key or not endpoint: + pytest.skip("Integration tests require AZURE_OPENAI_API_KEY and AZURE_OPENAI_ENDPOINT") + + return { + "api_key": api_key, + "endpoint": endpoint, + "deployment": deployment, + "api_version": api_version, + } + + +@pytest.fixture(scope="session") +def agent365_config() -> dict[str, Any]: + """Agent365 configuration for integration tests.""" + tenant_id = os.getenv("AGENT365_TEST_TENANT_ID", "4d44f041-f91e-4d00-b107-61e47b26f5a8") + agent_id = os.getenv("AGENT365_TEST_AGENT_ID", "3bccd52b-daaa-4b11-af40-47443852137c") + + if not tenant_id: + pytest.skip("Integration tests require AGENT365_TEST_TENANT_ID") + + return {"tenant_id": tenant_id, "agent_id": agent_id} diff --git a/tests/integration/test_openai_trace_processor.py b/tests/integration/test_openai_trace_processor.py new file mode 100644 index 0000000..7af0ef8 --- /dev/null +++ b/tests/integration/test_openai_trace_processor.py @@ -0,0 +1,300 @@ +# Copyright (c) Microsoft Corporation. +# Licensed under the MIT License. + +import time + +import pytest +from microsoft_agents_a365.observability.core import configure, get_tracer_provider +from microsoft_agents_a365.observability.core.constants import ( + GEN_AI_AGENT_ID_KEY, + GEN_AI_INPUT_MESSAGES_KEY, + GEN_AI_OUTPUT_MESSAGES_KEY, + GEN_AI_REQUEST_MODEL_KEY, + GEN_AI_SYSTEM_KEY, + TENANT_ID_KEY, +) +from microsoft_agents_a365.observability.extensions.openai.trace_instrumentor import ( + OpenAIAgentsTraceInstrumentor, +) + +try: + from agents import Agent, OpenAIChatCompletionsModel, Runner, function_tool + from openai import AsyncAzureOpenAI +except ImportError: + pytest.skip( + "OpenAI agents library and dependencies required for integration tests", + allow_module_level=True, + ) + + +@function_tool +def add_numbers(a: float, b: float) -> float: + """Add two numbers together. + + Args: + a: First number + b: Second number + + Returns: + The sum of a and b + """ + return a + b + + +@pytest.mark.integration +class TestOpenAITraceProcessorIntegration: + """Integration tests for OpenAI trace processor with real Azure OpenAI.""" + + def setup_method(self): + """Set up test method with mock exporter.""" + self.captured_spans = [] + self.mock_exporter = MockAgent365Exporter(self.captured_spans) + + def test_openai_trace_processor_integration(self, azure_openai_config, agent365_config): + """Test OpenAI trace processor with real Azure OpenAI call.""" + + # Configure observability + configure( + service_name="integration-test-service", + service_namespace="agent365-tests", + logger_name="test-logger", + ) + + # Get the tracer provider and add our mock exporter + provider = get_tracer_provider() + provider.add_span_processor(self.mock_exporter) + + # Initialize the instrumentor + instrumentor = OpenAIAgentsTraceInstrumentor() + instrumentor.instrument() + + try: + # Create Azure OpenAI client using API key (simpler for testing) + openai_client = AsyncAzureOpenAI( + api_key=azure_openai_config["api_key"], + api_version=azure_openai_config["api_version"], + azure_endpoint=azure_openai_config["endpoint"], + ) + + # Create agent with proper model configuration + agent = Agent( + name="TestAgent", + instructions="You are a helpful assistant.", + model=OpenAIChatCompletionsModel( + model=azure_openai_config["deployment"], openai_client=openai_client + ), + ) + + # Execute a simple prompt using async runner + import asyncio + + async def run_agent(): + result = await Runner.run(agent, "What can you do?") + return result.final_output + + response = asyncio.run(run_agent()) + + # Give some time for spans to be processed + time.sleep(1) + + # Verify that spans were captured + assert len(self.captured_spans) > 0, "No spans were captured" + + # Verify we have the expected span types + span_names = [span.name for span in self.captured_spans] + print(f"Captured spans: {span_names}") + + # Validate attributes on spans + self._validate_span_attributes(agent365_config) + + # Verify the response content + assert response is not None + assert len(response) > 0 + print(f"Agent response: {response}") + + finally: + # Clean up + instrumentor.uninstrument() + + def test_openai_trace_processor_with_tool_calls(self, azure_openai_config, agent365_config): + """Test OpenAI trace processor with tool calls.""" + + # Configure observability + configure( + service_name="integration-test-service-tools", + service_namespace="agent365-tests", + logger_name="test-logger", + ) + + # Get the tracer provider and add our mock exporter + provider = get_tracer_provider() + provider.add_span_processor(self.mock_exporter) + + # Initialize the instrumentor + instrumentor = OpenAIAgentsTraceInstrumentor() + instrumentor.instrument() + + try: + # Create Azure OpenAI client using API key + openai_client = AsyncAzureOpenAI( + api_key=azure_openai_config["api_key"], + api_version=azure_openai_config["api_version"], + azure_endpoint=azure_openai_config["endpoint"], + ) + + # Create agent with tool + agent = Agent( + name="MathAgent", + instructions="You are a helpful math assistant. Use the add_numbers tool to perform calculations.", + model=OpenAIChatCompletionsModel( + model=azure_openai_config["deployment"], openai_client=openai_client + ), + tools=[add_numbers], + ) + + # Execute a prompt that requires tool usage + import asyncio + + async def run_agent_with_tool(): + result = await Runner.run(agent, "What is 15 + 27?") + return result.final_output + + response = asyncio.run(run_agent_with_tool()) + + # Give some time for spans to be processed + time.sleep(1) + + # Verify that spans were captured + assert len(self.captured_spans) > 0, "No spans were captured" + + # Verify we have the expected span types + span_names = [span.name for span in self.captured_spans] + print(f"Captured spans with tools: {span_names}") + + # Validate attributes on spans including tool calls + self._validate_tool_span_attributes(agent365_config) + + # Verify the response content includes the calculation result + assert response is not None + assert len(response) > 0 + assert "42" in response # 15 + 27 = 42 + print(f"Agent response with tool: {response}") + + finally: + # Clean up + instrumentor.uninstrument() + + def _validate_span_attributes(self, agent365_config): + """Validate that spans have the expected attributes.""" + llm_spans_found = 0 + agent_spans_found = 0 + + for span in self.captured_spans: + attributes = dict(span.attributes or {}) + print(f"Span '{span.name}' attributes: {list(attributes.keys())}") + + # Check common attributes + if TENANT_ID_KEY in attributes: + assert attributes[TENANT_ID_KEY] == agent365_config["tenant_id"] + + if GEN_AI_AGENT_ID_KEY in attributes: + assert attributes[GEN_AI_AGENT_ID_KEY] == agent365_config["agent_id"] + + # Check for LLM spans (generation spans) + if GEN_AI_SYSTEM_KEY in attributes and attributes[GEN_AI_SYSTEM_KEY] == "openai": + if GEN_AI_REQUEST_MODEL_KEY in attributes: + llm_spans_found += 1 + # Validate LLM span attributes + assert GEN_AI_REQUEST_MODEL_KEY in attributes + assert attributes[GEN_AI_REQUEST_MODEL_KEY] is not None + print(f"✓ Found LLM span with model: {attributes[GEN_AI_REQUEST_MODEL_KEY]}") + + # Check for input/output messages + if GEN_AI_INPUT_MESSAGES_KEY in attributes: + input_messages = attributes[GEN_AI_INPUT_MESSAGES_KEY] + assert input_messages is not None + print(f"✓ Input messages found: {input_messages[:100]}...") + + if GEN_AI_OUTPUT_MESSAGES_KEY in attributes: + output_messages = attributes[GEN_AI_OUTPUT_MESSAGES_KEY] + assert output_messages is not None + print(f"✓ Output messages found: {output_messages[:100]}...") + + # Check for agent spans + if "agent" in span.name.lower(): + agent_spans_found += 1 + print(f"✓ Found agent span: {span.name}") + + # Ensure we found at least some spans with telemetry data + assert len(self.captured_spans) > 0, "No spans were captured" + print(f"✓ Captured {len(self.captured_spans)} spans total") + print(f"✓ Found {llm_spans_found} LLM spans and {agent_spans_found} agent spans") + + def _validate_tool_span_attributes(self, agent365_config): + """Validate that spans have the expected attributes including tool calls.""" + llm_spans_found = 0 + agent_spans_found = 0 + tool_spans_found = 0 + + for span in self.captured_spans: + attributes = dict(span.attributes or {}) + print(f"Span '{span.name}' attributes: {list(attributes.keys())}") + + # Check common attributes + if TENANT_ID_KEY in attributes: + assert attributes[TENANT_ID_KEY] == agent365_config["tenant_id"] + + if GEN_AI_AGENT_ID_KEY in attributes: + assert attributes[GEN_AI_AGENT_ID_KEY] == agent365_config["agent_id"] + + # Check for LLM spans (generation spans) + if GEN_AI_SYSTEM_KEY in attributes and attributes[GEN_AI_SYSTEM_KEY] == "openai": + if GEN_AI_REQUEST_MODEL_KEY in attributes: + llm_spans_found += 1 + print(f"✓ Found LLM span with model: {attributes[GEN_AI_REQUEST_MODEL_KEY]}") + + # Check for tool calls in messages + if GEN_AI_OUTPUT_MESSAGES_KEY in attributes: + output_messages = attributes[GEN_AI_OUTPUT_MESSAGES_KEY] + if "tool_calls" in output_messages: + print("✓ Found tool calls in LLM output messages") + + # Check for agent spans + if "agent" in span.name.lower(): + agent_spans_found += 1 + print(f"✓ Found agent span: {span.name}") + + # Check for tool execution spans + if "execute_tool" in span.name.lower() or "calculator_tool" in span.name.lower(): + tool_spans_found += 1 + print(f"✓ Found tool execution span: {span.name}") + + # Ensure we found the expected span types + assert len(self.captured_spans) > 0, "No spans were captured" + print(f"✓ Captured {len(self.captured_spans)} spans total") + print( + f"✓ Found {llm_spans_found} LLM spans, {agent_spans_found} agent spans, and {tool_spans_found} tool spans" + ) + + +class MockAgent365Exporter: + """Mock span processor that captures spans instead of sending them.""" + + def __init__(self, captured_spans): + self.captured_spans = captured_spans + + def on_start(self, span, parent_context=None): + """Called when a span starts.""" + pass + + def on_end(self, span): + """Called when a span ends.""" + self.captured_spans.append(span) + + def shutdown(self): + """Mock shutdown.""" + pass + + def force_flush(self, timeout_millis: int = 30000) -> bool: + """Mock force flush.""" + return True diff --git a/tests/test_kairo.py b/tests/test_agent365.py similarity index 91% rename from tests/test_kairo.py rename to tests/test_agent365.py index 1ff8848..c2a6c84 100644 --- a/tests/test_kairo.py +++ b/tests/test_agent365.py @@ -6,8 +6,8 @@ def test_basic_functionality(): - """Test basic Kairo SDK functionality""" - print("Testing Kairo SDK...") + """Test basic Agent365 SDK functionality""" + print("Testing Agent365 SDK...") # Test configure function try: diff --git a/tests/test_alignment.py b/tests/test_alignment.py index 15fa8a4..802ac36 100644 --- a/tests/test_alignment.py +++ b/tests/test_alignment.py @@ -170,7 +170,7 @@ def test_span_processor(): def main(): """Run all tests.""" - print("🔍 Testing Kairo Python SDK alignment with .NET SDK...\n") + print("🔍 Testing Agent365 Python SDK alignment with .NET SDK...\n") try: test_constants_alignment() diff --git a/tests/test_baggage_builder.py b/tests/test_baggage_builder.py index f875880..290a728 100644 --- a/tests/test_baggage_builder.py +++ b/tests/test_baggage_builder.py @@ -4,7 +4,6 @@ import os import unittest -from microsoft_agents_a365.observability.core import config as telemetry_config from microsoft_agents_a365.observability.core.constants import ( CORRELATION_ID_KEY, GEN_AI_AGENT_AUID_KEY, @@ -104,52 +103,30 @@ def test_all_baggage_keys(self): def test_baggage_propagates_to_child_spans(self): """Test that baggage values are copied as attributes onto parent and child spans via SpanProcessor.""" - # Configure global telemetry; this will add the SpanProcessor automatically. - # Use a temporary tracer provider with our in-memory exporter for assertion. exporter = InMemorySpanExporter() provider = TracerProvider() - provider.add_span_processor(SimpleSpanProcessor(exporter)) - trace.set_tracer_provider(provider) - # Invoke SDK configure to attach Kairo span processor (agent processor) - telemetry_config.configure( - service_name="baggage-test-service", - service_namespace="baggage.test", - logger_name="kairo-test", + processor = SimpleSpanProcessor(exporter) + provider.add_span_processor(processor) + + # Also add the Agent365 span processor directly + from microsoft_agents_a365.observability.core.trace_processor.span_processor import ( + SpanProcessor as Agent365SpanProcessor, ) - tracer = telemetry_config.get_tracer(__name__) + + agent365_processor = Agent365SpanProcessor() + provider.add_span_processor(agent365_processor) + + tracer = provider.get_tracer(__name__) tenant = "tenant-propagation-test" agent = "agent-propagation-test" # Create baggage before starting spans so processor can copy it with BaggageBuilder().tenant_id(tenant).agent_id(agent).build(): - with tracer.start_as_current_span("parent_span") as parent_span: - # Attributes should now include baggage-derived keys - parent_attrs = getattr(parent_span, "attributes", {}) - self.assertEqual( - parent_attrs.get(TENANT_ID_KEY), - tenant, - "Parent span missing tenant attribute from baggage", - ) - self.assertEqual( - parent_attrs.get(GEN_AI_AGENT_ID_KEY), - agent, - "Parent span missing agent attribute from baggage", - ) - + with tracer.start_as_current_span("parent_span"): # Nested child span should also receive baggage-derived attributes at start - with tracer.start_as_current_span("child_span") as child_span: - child_attrs = getattr(child_span, "attributes", {}) - self.assertEqual( - child_attrs.get(TENANT_ID_KEY), - tenant, - "Child span missing tenant attribute from baggage", - ) - self.assertEqual( - child_attrs.get(GEN_AI_AGENT_ID_KEY), - agent, - "Child span missing agent attribute from baggage", - ) + with tracer.start_as_current_span("child_span"): + pass # Just create the spans, attributes are set by the processor # Ensure spans exported contain these attributes (export happens on end) finished_spans = exporter.get_finished_spans() diff --git a/tests/test_inference_scope.py b/tests/test_inference_scope.py index b17c6e4..d53ff52 100644 --- a/tests/test_inference_scope.py +++ b/tests/test_inference_scope.py @@ -21,7 +21,7 @@ class TestInferenceScope(unittest.TestCase): @classmethod def setUpClass(cls): """Set up test environment once for all tests.""" - # Configure Kairo for testing + # Configure Agent365 for testing configure( service_name="test-inference-service", service_namespace="test-namespace", diff --git a/tests/test_wrapper_langchain.py b/tests/test_wrapper_langchain.py index ed92fa3..b1fff3a 100644 --- a/tests/test_wrapper_langchain.py +++ b/tests/test_wrapper_langchain.py @@ -38,16 +38,16 @@ def tearDown(self): except Exception: pass - def test_instrumentor_initialization_and_kairo_integration(self): - """Test 1: Verify InstrumentorForLangChain initializes and integrates with Kairo.""" + def test_instrumentor_initialization_and_Agent365_integration(self): + """Test 1: Verify InstrumentorForLangChain initializes and integrates with Agent365.""" from microsoft_agents_a365.observability.core.config import get_tracer, is_configured - # Verify Kairo is configured - self.assertTrue(is_configured(), "Kairo should be configured") + # Verify Agent365 is configured + self.assertTrue(is_configured(), "Agent365 should be configured") # Get tracer to ensure it works tracer = get_tracer() - self.assertIsNotNone(tracer, "Kairo tracer should be available") + self.assertIsNotNone(tracer, "Agent365 tracer should be available") # Create instrumentor self._test_instrumentor = CustomLangChainInstrumentor() @@ -67,7 +67,7 @@ def test_instrumentor_initialization_and_kairo_integration(self): self._test_instrumentor._tracer, "Tracer should be created after initialization" ) - print("✅ Test 1: InstrumentorForLangChain initialization and Kairo integration works") + print("✅ Test 1: InstrumentorForLangChain initialization and Agent365 integration works") def test_instrumentor_get_span_functionality(self): """Test 2: Verify get_span method works correctly with mock data.""" @@ -122,7 +122,7 @@ def test_instrumentor_wrapping_mechanism(self): def run_langchain_tests(): """Run all LangChain wrapper tests with detailed output.""" - print("🧪 Running Kairo LangChain Instrumentor tests...") + print("🧪 Running Agent365 LangChain Instrumentor tests...") print("=" * 80) # Create test suite diff --git a/tests/test_wrapper_openaiagents.py b/tests/test_wrapper_openaiagents.py index 402da5d..3349b2d 100644 --- a/tests/test_wrapper_openaiagents.py +++ b/tests/test_wrapper_openaiagents.py @@ -4,42 +4,42 @@ import unittest from microsoft_agents_a365.observability.core import configure -from microsoft_agents_a365.observability.extensions.openai import KairoInstrumentorOpenAIAgents +from microsoft_agents_a365.observability.extensions.openai import OpenAIAgentsTraceInstrumentor -class TestKairoInstrumentorOpenAIAgents(unittest.TestCase): - """Unit tests for KairoInstrumentorOpenAIAgents class.""" +class TestOpenAIAgentsTraceInstrumentor(unittest.TestCase): + """Unit tests for OpenAIAgentsTraceInstrumentor class.""" @classmethod def setUpClass(cls): """Set up test environment once for all tests.""" - # Configure Kairo for testing + # Configure Agent365 for testing configure( service_name="test-service-openaiAgents", service_namespace="test-namespace-openaiAgents", ) def test_instrumentor_initialization(self): - """Test 1: Verify KairoInstrumentorOpenAIAgents can be initialized successfully.""" + """Test 1: Verify OpenAIAgentsTraceInstrumentor can be initialized successfully.""" try: # Test basic initialization - instrumentor = KairoInstrumentorOpenAIAgents() + instrumentor = OpenAIAgentsTraceInstrumentor() # Verify the object was created self.assertIsNotNone(instrumentor) - self.assertIsInstance(instrumentor, KairoInstrumentorOpenAIAgents) + self.assertIsInstance(instrumentor, OpenAIAgentsTraceInstrumentor) # Check if it has expected attributes/methods self.assertTrue(hasattr(instrumentor, "__init__")) - print("✅ Test 1 passed: KairoInstrumentorOpenAIAgents initialized successfully") + print("✅ Test 1 passed: OpenAIAgentsTraceInstrumentor initialized successfully") except Exception as e: - self.fail(f"KairoInstrumentorOpenAIAgents initialization failed: {e}") + self.fail(f"OpenAIAgentsTraceInstrumentor initialization failed: {e}") def test_instrumentor_methods_exist(self): - """Test 2: Verify KairoInstrumentorOpenAIAgents has expected methods.""" - instrumentor = KairoInstrumentorOpenAIAgents() + """Test 2: Verify OpenAIAgentsTraceInstrumentor has expected methods.""" + instrumentor = OpenAIAgentsTraceInstrumentor() # Test for common instrumentor methods that might exist expected_methods = ["__init__", "_instrument"] @@ -48,7 +48,7 @@ def test_instrumentor_methods_exist(self): with self.subTest(method=method_name): self.assertTrue( hasattr(instrumentor, method_name), - f"Method '{method_name}' should exist on KairoInstrumentorOpenAIAgents", + f"Method '{method_name}' should exist on OpenAIAgentsTraceInstrumentor", ) # Test that the object responds to dir() without error @@ -56,24 +56,24 @@ def test_instrumentor_methods_exist(self): self.assertIsInstance(methods_and_attrs, list) self.assertGreater(len(methods_and_attrs), 0) - print("✅ Test 2 passed: KairoInstrumentorOpenAIAgents has expected methods") + print("✅ Test 2 passed: OpenAIAgentsTraceInstrumentor has expected methods") -class TestKairoInstrumentorIntegration(unittest.TestCase): - """Integration tests for the instrumentor with the broader Kairo system.""" +class TestAgent365InstrumentorIntegration(unittest.TestCase): + """Integration tests for the instrumentor with the broader Agent365 system.""" def setUp(self): - """Set up each test with a fresh Kairo configuration.""" + """Set up each test with a fresh Agent365 configuration.""" configure( service_name="integration-test-service", service_namespace="integration-test-namespace", ) - def test_instrumentor_with_kairo_configured(self): - """Test instrumentor behavior when Kairo is properly configured.""" + def test_instrumentor_with_Agent365_configured(self): + """Test instrumentor behavior when Agent365 is properly configured.""" from microsoft_agents_a365.observability.core import get_tracer, is_configured - # Verify Kairo is configured + # Verify Agent365 is configured self.assertTrue(is_configured()) # Get tracer to ensure it works @@ -81,15 +81,15 @@ def test_instrumentor_with_kairo_configured(self): self.assertIsNotNone(tracer) # Now create instrumentor - instrumentor = KairoInstrumentorOpenAIAgents() + instrumentor = OpenAIAgentsTraceInstrumentor() self.assertIsNotNone(instrumentor) - print("✅ Integration test passed: Instrumentor works with configured Kairo") + print("✅ Integration test passed: Instrumentor works with configured Agent365") def run_comprehensive_tests(): """Run all tests with detailed output.""" - print("🧪 Running comprehensive Kairo OpenAI Agents Instrumentor tests...") + print("🧪 Running comprehensive Agent365 OpenAI Agents Instrumentor tests...") print("=" * 80) # Create test suite @@ -97,8 +97,8 @@ def run_comprehensive_tests(): suite = unittest.TestSuite() # Add test classes - suite.addTests(loader.loadTestsFromTestCase(TestKairoInstrumentorOpenAIAgents)) - suite.addTests(loader.loadTestsFromTestCase(TestKairoInstrumentorIntegration)) + suite.addTests(loader.loadTestsFromTestCase(TestOpenAIAgentsTraceInstrumentor)) + suite.addTests(loader.loadTestsFromTestCase(TestAgent365InstrumentorIntegration)) # Run tests runner = unittest.TextTestRunner(verbosity=2) diff --git a/tests/test_wrapper_semantic_kernel.py b/tests/test_wrapper_semantic_kernel.py index 56ba180..7d1ed91 100644 --- a/tests/test_wrapper_semantic_kernel.py +++ b/tests/test_wrapper_semantic_kernel.py @@ -19,7 +19,7 @@ class TestSemanticKernelInstrumentor(unittest.TestCase): @classmethod def setUpClass(cls): """Set up test environment once for all tests.""" - # Configure Kairo for testing + # Configure Agent365 for testing configure( service_name="test-service-semantic-kernel", service_namespace="test-namespace-semantic-kernel", diff --git a/tests/usage_example.py b/tests/usage_example.py index e59b72d..266a1d3 100644 --- a/tests/usage_example.py +++ b/tests/usage_example.py @@ -4,17 +4,17 @@ import os from urllib.parse import urlparse -from microsoft_kairo.observability.tenant_details import TenantDetails +from microsoft_agents_a365.observability.core.tenant_details import TenantDetails def main(): - """Demonstrate the aligned Kairo Python SDK functionality.""" + """Demonstrate the aligned Agent365 Python SDK functionality.""" # Enable telemetry (aligned with .NET SDK environment variable) os.environ["ENABLE_OBSERVABILITY"] = "true" # Import the updated SDK classes - from microsoft_kairo import ( + from microsoft_agents_a365.observability.core import ( AgentDetails, ExecutionType, InvokeAgentDetails, @@ -24,7 +24,7 @@ def main(): configure, ) - print("🚀 Kairo Python SDK - Aligned with .NET SDK") + print("🚀 Agent365 Python SDK - Aligned with .NET SDK") print("=" * 50) # Configure telemetry (existing function still works) diff --git a/uv.lock b/uv.lock index 864267b..fd16859 100644 --- a/uv.lock +++ b/uv.lock @@ -21,6 +21,18 @@ members = [ "microsoft-agents-a365-tooling-extensions-semantickernel", ] +[manifest.dependency-groups] +dev = [ + { name = "azure-identity", specifier = ">=1.12.0" }, + { name = "openai", specifier = ">=1.0.0" }, + { name = "openai-agents", specifier = ">=0.2.6" }, + { name = "pytest", specifier = ">=7.0.0" }, + { name = "pytest-asyncio", specifier = ">=0.21.0" }, + { name = "pytest-mock", specifier = ">=3.10.0" }, + { name = "python-dotenv", specifier = ">=1.0.0" }, + { name = "ruff", specifier = ">=0.1.0" }, +] + [[package]] name = "aiohappyeyeballs" version = 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