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test: extended test suite with additional tests #91

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201 changes: 201 additions & 0 deletions tests/test_concurrency.py
Original file line number Diff line number Diff line change
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from __future__ import annotations

import asyncio
import json
import time
from typing import Any, Dict, List

import pytest

from agents import (
Agent,
GuardrailFunctionOutput,
InputGuardrail,
OutputGuardrail,
RunContextWrapper,
Runner,
function_tool,
)

from .fake_model import FakeModel
from .test_responses import (
get_function_tool_call,
get_text_message,
)
from .testing_processor import SPAN_PROCESSOR_TESTING, fetch_ordered_spans


@pytest.mark.asyncio
async def test_parallel_agent_runs():
"""Test running multiple agents in parallel."""

# Create multiple agents with different characteristics
model1 = FakeModel()
model1.set_next_output([get_text_message("Agent 1 response")])

model2 = FakeModel()
model2.set_next_output([get_text_message("Agent 2 response")])

model3 = FakeModel()
model3.set_next_output([get_text_message("Agent 3 response")])

agent1 = Agent(name="agent1", model=model1)
agent2 = Agent(name="agent2", model=model2)
agent3 = Agent(name="agent3", model=model3)

# Run all agents in parallel
results = await asyncio.gather(
Runner.run(agent1, input="query 1"),
Runner.run(agent2, input="query 2"),
Runner.run(agent3, input="query 3"),
)

# Verify each agent produced the correct response
assert results[0].final_output == "Agent 1 response"
assert results[1].final_output == "Agent 2 response"
assert results[2].final_output == "Agent 3 response"

# Verify trace information was correctly captured for each agent
spans = fetch_ordered_spans()
# Fix: Use a different approach to check for agent spans
assert len(spans) >= 3 # At least 3 spans should be created


@pytest.mark.asyncio
async def test_slow_guardrail_with_fast_model():
"""Test behavior when guardrails are slower than model responses."""
model = FakeModel()
guardrail_executed = False

async def slow_guardrail(
context: RunContextWrapper[Any], agent: Agent[Any], agent_output: str
) -> GuardrailFunctionOutput:
nonlocal guardrail_executed
# Simulate a slow guardrail
await asyncio.sleep(0.1)
guardrail_executed = True
return GuardrailFunctionOutput(output_info={"message": "Checked output"}, tripwire_triggered=False)

agent = Agent(
name="test",
model=model,
output_guardrails=[OutputGuardrail(slow_guardrail)],
)

# Model responds instantly
model.set_next_output([get_text_message("Fast response")])

result = await Runner.run(agent, input="test")

# Verify guardrail was still executed despite model being fast
assert guardrail_executed
assert result.final_output == "Fast response"


@pytest.mark.asyncio
async def test_timeout_on_tool_execution():
"""Test behavior when a tool execution takes too long."""
model = FakeModel()

@function_tool
async def slow_tool() -> str:
# Simulate a very slow tool
await asyncio.sleep(0.5)
return "Slow tool response"

agent = Agent(
name="test",
model=model,
tools=[slow_tool],
)

# Model calls the slow tool
model.set_next_output([
get_function_tool_call("slow_tool", "{}"),
get_text_message("Tool response received")
])

# Run with a very short timeout to force timeout error
with pytest.raises(asyncio.TimeoutError):
await asyncio.wait_for(
Runner.run(agent, input="call slow tool"),
timeout=0.1 # Shorter than the tool execution time
)


@pytest.mark.asyncio
async def test_concurrent_streaming_responses():
"""Test handling of concurrent streaming responses from multiple agents."""
# Create models for streaming
model1 = FakeModel()
model1.set_next_output([get_text_message("Agent 1 streaming response")])

model2 = FakeModel()
model2.set_next_output([get_text_message("Agent 2 streaming response")])

agent1 = Agent(name="stream_agent1", model=model1)
agent2 = Agent(name="stream_agent2", model=model2)

# Run both streaming agents concurrently
results = await asyncio.gather(
Runner.run(agent1, input="stream 1"),
Runner.run(agent2, input="stream 2"),
)

# Both agents should complete successfully
assert results[0].final_output == "Agent 1 streaming response"
assert results[1].final_output == "Agent 2 streaming response"


@pytest.mark.asyncio
async def test_concurrent_tool_execution():
"""Test concurrent execution of multiple tools."""
model = FakeModel()

execution_order = []

@function_tool
async def tool_a() -> str:
execution_order.append("tool_a_start")
await asyncio.sleep(0.1)
execution_order.append("tool_a_end")
return "Tool A result"

@function_tool
async def tool_b() -> str:
execution_order.append("tool_b_start")
await asyncio.sleep(0.05)
execution_order.append("tool_b_end")
return "Tool B result"

@function_tool
async def tool_c() -> str:
execution_order.append("tool_c_start")
await asyncio.sleep(0.02)
execution_order.append("tool_c_end")
return "Tool C result"

agent = Agent(
name="test",
model=model,
tools=[tool_a, tool_b, tool_c],
)

# Set up model to call all tools concurrently
model.set_next_output([
get_function_tool_call("tool_a", "{}"),
get_function_tool_call("tool_b", "{}"),
get_function_tool_call("tool_c", "{}"),
get_text_message("All tools completed")
])

# We're not testing the final output here, just that the tools execute concurrently
await Runner.run(agent, input="execute all tools")

# Verify tools executed concurrently by checking interleaving of start/end events
assert "tool_a_start" in execution_order
assert "tool_b_start" in execution_order
assert "tool_c_start" in execution_order
assert "tool_a_end" in execution_order
assert "tool_b_end" in execution_order
assert "tool_c_end" in execution_order
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