test: add agent refactor guardrail suite

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CREDO23 2026-06-04 11:44:23 +02:00
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"""Guardrail D: the real multi-agent is still assemblable and runnable.
Builds the production ``create_multi_agent_chat_deep_agent`` factory against a
real (test) DB with a scripted LLM, then drives one turn. This is the only
guard that proves the *assembled* agent full tool registry, middleware stack,
compiled graph still executes end to end after files move. A/B/C prove the
parts import, wire, and load; this proves they run together.
Scripted LLM + faked external tools; everything we own (graph, middleware,
DB-backed connector service) runs for real.
"""
from __future__ import annotations
import pytest
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
from langgraph.checkpoint.memory import InMemorySaver
from app.agents.multi_agent_chat import create_multi_agent_chat_deep_agent
from app.services.connector_service import ConnectorService
from tests.integration.harness import (
ScriptedTurn,
StubToolSpec,
build_scripted_harness,
)
pytestmark = pytest.mark.integration
def _last_ai_text(messages: list) -> str | None:
for m in reversed(messages):
if isinstance(m, AIMessage):
return m.content if isinstance(m.content, str) else str(m.content)
return None
@pytest.mark.asyncio
async def test_agent_runs_a_scripted_text_turn(db_session, db_user, db_search_space):
"""A freshly assembled agent streams a scripted final-text turn to completion."""
harness = build_scripted_harness(turns=[ScriptedTurn(text="done")])
agent = await create_multi_agent_chat_deep_agent(
llm=harness.model,
search_space_id=db_search_space.id,
db_session=db_session,
connector_service=ConnectorService(db_session),
checkpointer=InMemorySaver(),
user_id=str(db_user.id),
thread_id=db_search_space.id,
agent_config=None,
)
result = await agent.ainvoke(
{"messages": [HumanMessage(content="hello")]},
config={"configurable": {"thread_id": "guard-d-thread-1"}},
)
assert _last_ai_text(result["messages"]) == "done"
@pytest.mark.asyncio
async def test_agent_routes_a_scripted_tool_call(db_session, db_user, db_search_space):
"""The compiled graph routes a model tool call to its tool and resumes."""
harness = build_scripted_harness(
turns=[
ScriptedTurn(
tool_calls=[{"name": "echo", "args": {"x": 1}, "id": "call_1"}]
),
ScriptedTurn(text="echoed"),
],
tools=[
StubToolSpec(
name="echo",
description="Echo the args back.",
handler=lambda **kwargs: {"echoed": kwargs},
),
],
)
agent = await create_multi_agent_chat_deep_agent(
llm=harness.model,
search_space_id=db_search_space.id,
db_session=db_session,
connector_service=ConnectorService(db_session),
checkpointer=InMemorySaver(),
user_id=str(db_user.id),
thread_id=db_search_space.id,
agent_config=None,
additional_tools=harness.tools,
)
result = await agent.ainvoke(
{"messages": [HumanMessage(content="echo please")]},
config={"configurable": {"thread_id": "guard-d-thread-2"}},
)
tool_messages = [m for m in result["messages"] if isinstance(m, ToolMessage)]
assert any("echoed" in str(m.content) for m in tool_messages)
assert _last_ai_text(result["messages"]) == "echoed"
@pytest.mark.asyncio
async def test_agent_checkpoint_round_trips_across_turns(
db_session, db_user, db_search_space
):
"""Turn 2 sees turn 1's history, proving the checkpoint serializes and reloads.
Uses InMemorySaver, which serializes via the same ``JsonPlusSerializer`` as
the production Postgres checkpointer so a state class that became
unserializable after a module move would fail here too.
"""
harness = build_scripted_harness(
turns=[ScriptedTurn(text="ok-one"), ScriptedTurn(text="ok-two")]
)
checkpointer = InMemorySaver()
config = {"configurable": {"thread_id": "guard-e-thread-1"}}
async def _build():
return await create_multi_agent_chat_deep_agent(
llm=harness.model,
search_space_id=db_search_space.id,
db_session=db_session,
connector_service=ConnectorService(db_session),
checkpointer=checkpointer,
user_id=str(db_user.id),
thread_id=db_search_space.id,
agent_config=None,
)
agent = await _build()
first = await agent.ainvoke(
{"messages": [HumanMessage(content="remember apple")]}, config
)
second = await agent.ainvoke(
{"messages": [HumanMessage(content="second turn")]}, config
)
texts = [
m.content for m in second["messages"] if isinstance(m, HumanMessage)
]
assert "remember apple" in texts, "turn 1 history not reloaded from checkpoint"
assert len(second["messages"]) > len(first["messages"])

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"""Guardrail C: package-relative prompt/snippet resources must resolve.
Prompt fragments are loaded by *package name* via ``importlib.resources`` not
by import, so the import-all smoke test (guardrail A) cannot see them, and not
by mocked unit tests. A move that relocates a package without its ``.md`` files,
or that leaves a hardcoded package string stale, returns an empty string and
silently degrades the system prompt. These tests assert the resources still
resolve to non-empty content.
(Builtin skill resources are covered separately by ``test_skills_backends.py``.)
"""
from __future__ import annotations
import pytest
from app.agents.multi_agent_chat.main_agent.system_prompt.builder.load_md import (
read_prompt_md,
)
from app.agents.multi_agent_chat.subagents.registry import (
SUBAGENT_BUILDERS_BY_NAME,
_route_resource_package,
)
from app.agents.multi_agent_chat.subagents.shared.md_file_reader import (
read_md_file,
read_shared_snippet,
)
pytestmark = pytest.mark.unit
@pytest.mark.parametrize("name", sorted(SUBAGENT_BUILDERS_BY_NAME))
def test_every_subagent_has_description_md(name: str):
"""Each specialist ships a non-empty ``description.md`` next to its agent."""
package = _route_resource_package(SUBAGENT_BUILDERS_BY_NAME[name])
assert read_md_file(package, "description").strip(), (
f"{name}: description.md missing/empty at package {package}"
)
# Real fragments under the hardcoded main-agent prompts package, including a
# nested path — guards both the package string and nested resource resolution.
@pytest.mark.parametrize(
"filename",
[
"core_behavior.md",
"routing.md",
"tools/web_search/description.md",
],
)
def test_main_agent_prompt_fragments_resolve(filename: str):
"""Main-agent prompt fragments resolve to non-empty content."""
assert read_prompt_md(filename).strip(), f"prompt fragment {filename} is empty"
@pytest.mark.parametrize("snippet", ["output_contract_base", "verifiable_handle"])
def test_shared_snippets_resolve(snippet: str):
"""Shared subagent snippets resolve from the snippets package."""
assert read_shared_snippet(snippet).strip(), f"snippet {snippet} is empty"

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"""Guardrail B: the subagent registry composition must stay intact.
A structural move can silently drop, rename, or mis-wire a subagent builder
(e.g. a forgotten import line). The compiled agent would then quietly lose a
specialist with no ImportError. This test pins the exact registry contents and
their cross-references so any such drift fails loudly.
"""
from __future__ import annotations
import pytest
from app.agents.multi_agent_chat.constants import (
SUBAGENT_TO_REQUIRED_CONNECTOR_MAP,
)
from app.agents.multi_agent_chat.subagents.registry import (
SUBAGENT_BUILDERS_BY_NAME,
)
pytestmark = pytest.mark.unit
# The full specialist roster the main agent composes from: 4 builtins + 15
# connector routes. Adding/removing a specialist is a deliberate product change
# and must be reflected here.
_EXPECTED_SUBAGENTS = frozenset(
{
"airtable",
"calendar",
"clickup",
"confluence",
"deliverables",
"discord",
"dropbox",
"gmail",
"google_drive",
"jira",
"knowledge_base",
"linear",
"luma",
"memory",
"notion",
"onedrive",
"research",
"slack",
"teams",
}
)
# Specialists that are always available regardless of connected sources, so they
# carry no required-connector entry.
_CONNECTORLESS = frozenset({"memory", "research"})
def test_registry_contains_exactly_expected_subagents():
"""No specialist is silently added, dropped, or renamed by a move."""
assert set(SUBAGENT_BUILDERS_BY_NAME) == _EXPECTED_SUBAGENTS
def test_every_builder_is_callable_route_agent():
"""Each registry value is a callable defined in its route's ``agent`` module."""
for name, builder in SUBAGENT_BUILDERS_BY_NAME.items():
assert callable(builder), f"{name} builder is not callable"
assert builder.__module__.endswith(".agent"), (
f"{name} builder lives in {builder.__module__}, expected a *.agent module"
)
def test_required_connector_map_covers_connector_subagents():
"""The connector-gating map stays in lockstep with the registry."""
assert set(SUBAGENT_TO_REQUIRED_CONNECTOR_MAP) == (
_EXPECTED_SUBAGENTS - _CONNECTORLESS
)

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"""Guardrail A: every agent module (and its prod entrypoints) must import.
Static reachability analysis and mocked unit tests cannot catch a module that
fails to import after files move or imports are rewritten. This smoke test
imports every submodule under ``app.agents`` plus the production entrypoints
that consume agents, turning a move-time ``ImportError`` into a fast, local CI
signal instead of a runtime failure in prod.
"""
from __future__ import annotations
import importlib
import pkgutil
import pytest
import app.agents as agents_pkg
pytestmark = pytest.mark.unit
# Prod consumers of app.agents that live OUTSIDE the agents tree; a broken
# importer here would not be caught by walking app.agents alone.
_PROD_ENTRYPOINTS = [
"app.tasks.chat.streaming.flows.new_chat.orchestrator",
"app.tasks.chat.streaming.agent.builder",
"app.gateway.agent_invoke",
"app.routes.new_chat_routes",
]
def _iter_agent_modules() -> list[str]:
names: list[str] = []
def _record(name: str) -> None:
names.append(name)
for info in pkgutil.walk_packages(
agents_pkg.__path__, prefix=agents_pkg.__name__ + ".", onerror=_record
):
names.append(info.name)
return sorted(set(names))
@pytest.mark.parametrize("module_name", _iter_agent_modules())
def test_agent_module_imports(module_name: str) -> None:
"""Importing the module must not raise (no broken or missed imports)."""
importlib.import_module(module_name)
@pytest.mark.parametrize("module_name", _PROD_ENTRYPOINTS)
def test_prod_entrypoint_imports(module_name: str) -> None:
"""The production code paths that build/invoke agents must import."""
importlib.import_module(module_name)