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447e09c 1d16fd9 447e09c 3fc43ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 | """Tests for the agent orchestrator."""
from __future__ import annotations
import pytest
from agent_bench.agents.orchestrator import AgentResponse, Orchestrator
from agent_bench.core.provider import MockProvider
from agent_bench.core.types import (
CompletionResponse,
Role,
TokenUsage,
ToolCall,
)
from agent_bench.tools.base import Tool, ToolOutput
from agent_bench.tools.calculator import CalculatorTool
from agent_bench.tools.registry import ToolRegistry
# --- Helpers ---
class FakeSearchTool(Tool):
"""Deterministic search tool for orchestrator tests."""
name = "search_documents"
description = "Search docs"
parameters = {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
}
async def execute(self, **kwargs: object) -> ToolOutput:
return ToolOutput(
success=True,
result="[1] (fastapi_path_params.md): Path parameters use curly braces.",
metadata={
"sources": ["fastapi_path_params.md"],
"ranked_sources": ["fastapi_path_params.md"],
"source_chunks": ["Path parameters use curly braces."],
"max_score": 0.85,
"pre_rerank_count": 10,
"chunks": [{"source": "fastapi_path_params.md", "score": 0.85,
"preview": "Path parameters use curly braces."}],
"pii_redactions_count": 0,
},
)
class AlwaysToolCallProvider(MockProvider):
"""Provider that always returns tool_calls, never a final answer."""
async def complete(self, messages, tools=None, temperature=0.0, max_tokens=1024):
self.call_count += 1
if tools is None:
# Forced final call (no tools) — return text
return CompletionResponse(
content="Forced answer after max iterations.",
tool_calls=[],
usage=TokenUsage(input_tokens=100, output_tokens=20, estimated_cost_usd=0.0001),
provider="mock",
model="mock-1",
latency_ms=1.0,
)
return CompletionResponse(
content="",
tool_calls=[
ToolCall(
id=f"call_{self.call_count}",
name="search_documents",
arguments={"query": "test"},
)
],
usage=TokenUsage(input_tokens=100, output_tokens=20, estimated_cost_usd=0.0001),
provider="mock",
model="mock-1",
latency_ms=1.0,
)
class MultiSearchProvider(MockProvider):
"""Provider that searches twice (different queries), then answers."""
async def complete(self, messages, tools=None, temperature=0.0, max_tokens=1024):
self.call_count += 1
tool_results = [m for m in messages if m.role == Role.TOOL]
if tools and len(tool_results) == 0:
return CompletionResponse(
content="",
tool_calls=[
ToolCall(id="call_1", name="search_documents", arguments={"query": "first"})
],
usage=TokenUsage(input_tokens=100, output_tokens=20, estimated_cost_usd=0.0001),
provider="mock",
model="mock-1",
latency_ms=1.0,
)
elif tools and len(tool_results) == 1:
return CompletionResponse(
content="",
tool_calls=[
ToolCall(id="call_2", name="search_documents", arguments={"query": "second"})
],
usage=TokenUsage(input_tokens=150, output_tokens=25, estimated_cost_usd=0.0002),
provider="mock",
model="mock-1",
latency_ms=1.0,
)
else:
return CompletionResponse(
content="Answer from two searches. [source: fastapi_path_params.md]",
tool_calls=[],
usage=TokenUsage(input_tokens=200, output_tokens=50, estimated_cost_usd=0.0003),
provider="mock",
model="mock-1",
latency_ms=2.0,
)
def _make_registry() -> ToolRegistry:
registry = ToolRegistry()
registry.register(FakeSearchTool())
registry.register(CalculatorTool())
return registry
SYSTEM_PROMPT = "You are a helpful assistant."
# --- Tests ---
class TestOrchestrator:
@pytest.mark.asyncio
async def test_produces_agent_response_with_all_fields(self):
"""Orchestrator returns AgentResponse with all required fields."""
orchestrator = Orchestrator(
provider=MockProvider(), registry=_make_registry(), max_iterations=3
)
response = await orchestrator.run("How do path params work?", SYSTEM_PROMPT)
assert isinstance(response, AgentResponse)
assert len(response.answer) > 0
assert response.iterations >= 1
assert response.usage.input_tokens > 0
assert response.usage.output_tokens > 0
assert response.latency_ms > 0
assert isinstance(response.sources, list)
assert isinstance(response.tools_used, list)
@pytest.mark.asyncio
async def test_respects_max_iterations(self):
"""When provider always returns tool_calls, orchestrator stops at max_iterations."""
provider = AlwaysToolCallProvider()
orchestrator = Orchestrator(provider=provider, registry=_make_registry(), max_iterations=2)
response = await orchestrator.run("test question", SYSTEM_PROMPT)
# 2 iterations of tool calls + 1 forced final call = 3 provider calls total
assert provider.call_count == 3
assert response.iterations == 2
assert response.answer == "Forced answer after max iterations."
@pytest.mark.asyncio
async def test_accumulates_sources_from_multiple_searches(self):
"""Sources from multiple search calls are accumulated and deduplicated."""
orchestrator = Orchestrator(
provider=MultiSearchProvider(), registry=_make_registry(), max_iterations=3
)
response = await orchestrator.run("multi search question", SYSTEM_PROMPT)
# FakeSearchTool always returns fastapi_path_params.md
assert len(response.sources) == 1 # deduplicated
assert response.sources[0].source == "fastapi_path_params.md"
assert response.tools_used.count("search_documents") == 2
# Token usage accumulated across 3 provider calls
assert response.usage.input_tokens == 100 + 150 + 200
assert response.usage.output_tokens == 20 + 25 + 50
@pytest.mark.asyncio
async def test_deterministic_output(self):
"""Fixed question + MockProvider → exact expected answer."""
orchestrator = Orchestrator(
provider=MockProvider(), registry=_make_registry(), max_iterations=3
)
response = await orchestrator.run("How do path params work?", SYSTEM_PROMPT)
# MockProvider: first call returns tool_calls for search_documents,
# second call (with tool results) returns the canned answer
assert "path parameters" in response.answer.lower()
assert "[source: fastapi_path_params.md]" in response.answer
assert "search_documents" in response.tools_used
assert response.iterations == 2
class TestOrchestratorIntegration:
"""Integration test using real SearchTool + Retriever + HybridStore."""
@pytest.mark.asyncio
async def test_real_rag_path(self, test_retriever):
"""Orchestrator with MockProvider + real SearchTool/Retriever returns RAG results."""
from agent_bench.tools.search import SearchTool
registry = ToolRegistry()
registry.register(SearchTool(retriever=test_retriever))
registry.register(CalculatorTool())
orchestrator = Orchestrator(provider=MockProvider(), registry=registry, max_iterations=3)
response = await orchestrator.run(
"How do path params work?", SYSTEM_PROMPT, top_k=3, strategy="hybrid"
)
# MockProvider drives the loop, but the real SearchTool executes
# against the real Retriever/HybridStore and returns real chunks
assert isinstance(response, AgentResponse)
assert len(response.answer) > 0
assert "search_documents" in response.tools_used
# Sources come from the real store (sample_chunks in conftest)
assert len(response.sources) > 0
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