whFalsa / tests /test_ai_orchestrator.py
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Fix Arabic brand spelling by normalizing incorrect variants in AI replies and strengthen system prompt guidance
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import pytest
from app.ai.orchestrator import AIOrchestrator
from app.ai.providers import InvalidToolCallGenerationError, RetryableProviderError
from app.models.domain import AIProviderResponse, ToolCall
from app.tools.registry import ToolRegistry
from tests.conftest import ok_tool
class ScriptedProvider:
def __init__(self, name, script):
self.name = name
self.script = list(script)
self.calls = []
async def chat(self, messages, *, tools=None, tool_choice="auto", temperature=0.2):
self.calls.append(
{
"messages": messages,
"tools": tools,
"tool_choice": tool_choice,
"temperature": temperature,
}
)
next_item = self.script.pop(0)
if isinstance(next_item, Exception):
raise next_item
return next_item
@pytest.mark.asyncio
async def test_ai_falls_back_when_primary_rate_limited():
primary = ScriptedProvider("groq", [RetryableProviderError("rate limited")])
fallback = ScriptedProvider("openrouter", [AIProviderResponse(content="fallback reply")])
registry = ToolRegistry()
orchestrator = AIOrchestrator(
primary=primary,
fallback=fallback,
temperature=0.2,
max_tool_iterations=3,
)
reply = await orchestrator.generate_reply(messages=[], tools=[], registry=registry)
assert reply == "fallback reply"
assert len(primary.calls) == 1
assert len(fallback.calls) == 1
@pytest.mark.asyncio
async def test_ai_retries_invalid_groq_tool_generation_before_fallback():
primary = ScriptedProvider(
"groq",
[
InvalidToolCallGenerationError("bad tool"),
AIProviderResponse(content="primary retry reply"),
],
)
fallback = ScriptedProvider("openrouter", [AIProviderResponse(content="fallback")])
orchestrator = AIOrchestrator(
primary=primary,
fallback=fallback,
temperature=0.4,
max_tool_iterations=3,
)
reply = await orchestrator.generate_reply(messages=[], tools=[], registry=ToolRegistry())
assert reply == "primary retry reply"
assert [call["temperature"] for call in primary.calls] == [0.4, 0.2]
assert fallback.calls == []
@pytest.mark.asyncio
async def test_ai_executes_tool_call_and_returns_final_response():
primary = ScriptedProvider(
"groq",
[
AIProviderResponse(
tool_calls=[
ToolCall(
id="call-1",
name="about_falzh",
arguments='{"query":"FALZH","language":"en"}',
)
]
),
AIProviderResponse(content="FALZH helps with travel booking."),
],
)
registry = ToolRegistry()
registry.register("about_falzh", ok_tool)
orchestrator = AIOrchestrator(
primary=primary,
fallback=ScriptedProvider("hf", []),
temperature=0.2,
max_tool_iterations=3,
)
reply = await orchestrator.generate_reply(
messages=[],
tools=[{"type": "function"}],
registry=registry,
)
assert reply == "FALZH helps with travel booking."
second_call_messages = primary.calls[1]["messages"]
assert second_call_messages[-1]["role"] == "tool"
assert '"ok": true' in second_call_messages[-1]["content"]
@pytest.mark.asyncio
async def test_ai_normalizes_incorrect_arabic_brand_spelling():
primary = ScriptedProvider(
"groq",
[AIProviderResponse(content="أهلاً بك في فلظ! أتمنى أحجز لك رحلة.")],
)
orchestrator = AIOrchestrator(
primary=primary,
fallback=ScriptedProvider("openrouter", []),
temperature=0.2,
max_tool_iterations=3,
)
reply = await orchestrator.generate_reply(messages=[], tools=[], registry=ToolRegistry())
assert reply == "أهلاً بك في فلزة! أتمنى أحجز لك رحلة."
@pytest.mark.asyncio
async def test_ai_reports_invalid_tool_arguments_to_model():
primary = ScriptedProvider(
"groq",
[
AIProviderResponse(
tool_calls=[ToolCall(id="call-1", name="about_falzh", arguments="{bad json")]
),
AIProviderResponse(content="Please share the question again."),
],
)
registry = ToolRegistry()
registry.register("about_falzh", ok_tool)
orchestrator = AIOrchestrator(
primary=primary,
fallback=ScriptedProvider("hf", []),
temperature=0.2,
max_tool_iterations=3,
)
reply = await orchestrator.generate_reply(
messages=[],
tools=[{"type": "function"}],
registry=registry,
)
assert reply == "Please share the question again."
assert "Invalid tool arguments" in primary.calls[1]["messages"][-1]["content"]
@pytest.mark.asyncio
async def test_chat_falls_back_when_primary_rate_limited():
primary = ScriptedProvider("groq", [RetryableProviderError("rate limited")])
fallback = ScriptedProvider("openrouter", [AIProviderResponse(content="fallback reply")])
orchestrator = AIOrchestrator(
primary=primary,
fallback=fallback,
temperature=0.2,
max_tool_iterations=3,
)
response = await orchestrator.chat(
messages=[{"role": "user", "content": "test"}],
)
assert response.content == "fallback reply"
assert len(primary.calls) == 1
assert len(fallback.calls) == 1
@pytest.mark.asyncio
async def test_chat_returns_primary_on_success():
primary = ScriptedProvider("groq", [AIProviderResponse(content="primary reply")])
fallback = ScriptedProvider("openrouter", [AIProviderResponse(content="fallback")])
orchestrator = AIOrchestrator(
primary=primary,
fallback=fallback,
temperature=0.2,
max_tool_iterations=3,
)
response = await orchestrator.chat(
messages=[{"role": "user", "content": "test"}],
)
assert response.content == "primary reply"
assert len(primary.calls) == 1
assert len(fallback.calls) == 0
@pytest.mark.asyncio
async def test_chat_retries_invalid_tool_call_before_fallback():
primary = ScriptedProvider(
"groq",
[
InvalidToolCallGenerationError("bad tool"),
AIProviderResponse(content="primary retry reply"),
],
)
fallback = ScriptedProvider("openrouter", [AIProviderResponse(content="fallback")])
orchestrator = AIOrchestrator(
primary=primary,
fallback=fallback,
temperature=0.4,
max_tool_iterations=3,
)
response = await orchestrator.chat(
messages=[{"role": "user", "content": "test"}],
temperature=0.4,
)
assert response.content == "primary retry reply"
assert [call["temperature"] for call in primary.calls] == [0.4, 0.2]
assert fallback.calls == []