mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-27 01:16:22 +02:00
Forward missing explain_triples through RAG clients and agent tool callback (#768)
fix: forward explain_triples through RAG clients and agent tool callback - RAG clients and the KnowledgeQueryImpl tool callback were dropping explain_triples from explain events, losing provenance data (including focus edge selections) when graph-rag is invoked via the agent. Tests for provenance and explainability (56 new): - Client-level forwarding of explain_triples - Graph-RAG structural chain (question → grounding → exploration → focus → synthesis) - Graph-RAG integration with mocked subsidiary clients - Document-RAG integration (question → grounding → exploration → synthesis) - Agent-orchestrator all 3 patterns: react, plan-then-execute, supervisor
This commit is contained in:
cybermaggedon
GitHub
parent
e899370d98
commit
4b5bfacab1
9 changed files with 2178 additions and 7 deletions
|
|
@ -0,0 +1,655 @@
|
|||
"""
|
||||
Integration tests for agent-orchestrator provenance chains.
|
||||
|
||||
Tests all three patterns by calling iterate() with mocked dependencies
|
||||
and verifying the explain events emitted via respond().
|
||||
|
||||
Provenance chains:
|
||||
React: session → iteration → (observation or final)
|
||||
Plan: session → plan → step-result(s) → synthesis
|
||||
Supervisor: session → decomposition → finding(s) → synthesis
|
||||
"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from trustgraph.schema import (
|
||||
AgentRequest, AgentResponse, AgentStep, PlanStep,
|
||||
)
|
||||
|
||||
from trustgraph.provenance.namespaces import (
|
||||
RDF_TYPE, PROV_ENTITY, PROV_WAS_DERIVED_FROM,
|
||||
GRAPH_RETRIEVAL,
|
||||
)
|
||||
|
||||
# Agent provenance type constants
|
||||
from trustgraph.provenance.namespaces import (
|
||||
TG_AGENT_QUESTION,
|
||||
TG_ANALYSIS,
|
||||
TG_TOOL_USE,
|
||||
TG_OBSERVATION_TYPE,
|
||||
TG_CONCLUSION,
|
||||
TG_DECOMPOSITION,
|
||||
TG_FINDING,
|
||||
TG_PLAN_TYPE,
|
||||
TG_STEP_RESULT,
|
||||
TG_SYNTHESIS as TG_AGENT_SYNTHESIS,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def find_triple(triples, predicate, subject=None):
|
||||
for t in triples:
|
||||
if t.p.iri == predicate:
|
||||
if subject is None or t.s.iri == subject:
|
||||
return t
|
||||
return None
|
||||
|
||||
|
||||
def has_type(triples, subject, rdf_type):
|
||||
return any(
|
||||
t.s.iri == subject and t.p.iri == RDF_TYPE and t.o.iri == rdf_type
|
||||
for t in triples
|
||||
)
|
||||
|
||||
|
||||
def derived_from(triples, subject):
|
||||
t = find_triple(triples, PROV_WAS_DERIVED_FROM, subject)
|
||||
return t.o.iri if t else None
|
||||
|
||||
|
||||
def collect_explain_events(respond_mock):
|
||||
"""Extract explain events from a respond mock's call history."""
|
||||
events = []
|
||||
for call in respond_mock.call_args_list:
|
||||
resp = call[0][0]
|
||||
if isinstance(resp, AgentResponse) and resp.chunk_type == "explain":
|
||||
events.append({
|
||||
"explain_id": resp.explain_id,
|
||||
"explain_graph": resp.explain_graph,
|
||||
"triples": resp.explain_triples,
|
||||
})
|
||||
return events
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Mock processor
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def make_mock_processor(tools=None):
|
||||
"""Build a mock processor with the minimal interface patterns need."""
|
||||
processor = MagicMock()
|
||||
processor.max_iterations = 10
|
||||
processor.save_answer_content = AsyncMock()
|
||||
|
||||
# provenance_session_uri must return a real URI
|
||||
def mock_session_uri(session_id):
|
||||
return f"urn:trustgraph:agent:session:{session_id}"
|
||||
processor.provenance_session_uri.side_effect = mock_session_uri
|
||||
|
||||
# Agent with tools
|
||||
agent = MagicMock()
|
||||
agent.tools = tools or {}
|
||||
agent.additional_context = ""
|
||||
processor.agent = agent
|
||||
|
||||
# Aggregator for supervisor
|
||||
processor.aggregator = MagicMock()
|
||||
|
||||
return processor
|
||||
|
||||
|
||||
def make_mock_flow():
|
||||
"""Build a mock flow that returns async mock producers."""
|
||||
producers = {}
|
||||
|
||||
def flow_factory(name):
|
||||
if name not in producers:
|
||||
producers[name] = AsyncMock()
|
||||
return producers[name]
|
||||
|
||||
flow = MagicMock(side_effect=flow_factory)
|
||||
flow._producers = producers
|
||||
return flow
|
||||
|
||||
|
||||
def make_base_request(**kwargs):
|
||||
"""Build a minimal AgentRequest."""
|
||||
defaults = dict(
|
||||
question="What is quantum computing?",
|
||||
state="",
|
||||
group=[],
|
||||
history=[],
|
||||
user="testuser",
|
||||
collection="default",
|
||||
streaming=False,
|
||||
session_id="test-session-123",
|
||||
conversation_id="",
|
||||
pattern="react",
|
||||
task_type="",
|
||||
framing="",
|
||||
correlation_id="",
|
||||
parent_session_id="",
|
||||
subagent_goal="",
|
||||
expected_siblings=0,
|
||||
)
|
||||
defaults.update(kwargs)
|
||||
return AgentRequest(**defaults)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# React pattern tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
class TestReactPatternProvenance:
|
||||
"""
|
||||
React pattern chain: session → iteration → final
|
||||
(single iteration ending in Final answer)
|
||||
"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_single_iteration_final_answer(self):
|
||||
"""
|
||||
A single react iteration that produces a Final answer should emit:
|
||||
session, iteration, final — in that order.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.react_pattern import ReactPattern
|
||||
from trustgraph.agent.react.types import Action, Final
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = ReactPattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
request = make_base_request()
|
||||
|
||||
# Mock AgentManager.react to call on_action then return Final
|
||||
with patch(
|
||||
'trustgraph.agent.orchestrator.react_pattern.AgentManager'
|
||||
) as MockAM:
|
||||
mock_am = AsyncMock()
|
||||
MockAM.return_value = mock_am
|
||||
|
||||
final = Final(
|
||||
thought="I know the answer",
|
||||
final="Quantum computing uses qubits.",
|
||||
)
|
||||
|
||||
async def mock_react(question, history, think, observe, answer,
|
||||
context, streaming, on_action):
|
||||
# Simulate the on_action callback before returning Final
|
||||
if on_action:
|
||||
await on_action(Action(
|
||||
thought="I know the answer",
|
||||
name="final",
|
||||
arguments={},
|
||||
observation="",
|
||||
))
|
||||
return final
|
||||
|
||||
mock_am.react.side_effect = mock_react
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have 3 events: session, iteration, final
|
||||
assert len(events) == 3, (
|
||||
f"Expected 3 explain events (session, iteration, final), "
|
||||
f"got {len(events)}: {[e['explain_id'] for e in events]}"
|
||||
)
|
||||
|
||||
# Check types
|
||||
assert has_type(events[0]["triples"], events[0]["explain_id"], TG_AGENT_QUESTION)
|
||||
assert has_type(events[1]["triples"], events[1]["explain_id"], TG_ANALYSIS)
|
||||
assert has_type(events[2]["triples"], events[2]["explain_id"], TG_CONCLUSION)
|
||||
|
||||
# Check derivation chain
|
||||
all_triples = []
|
||||
for e in events:
|
||||
all_triples.extend(e["triples"])
|
||||
|
||||
uris = [e["explain_id"] for e in events]
|
||||
|
||||
# iteration derives from session
|
||||
assert derived_from(all_triples, uris[1]) == uris[0]
|
||||
# final derives from session (first iteration, no prior observation)
|
||||
assert derived_from(all_triples, uris[2]) == uris[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_iteration_with_tool_call(self):
|
||||
"""
|
||||
A react iteration that calls a tool (not Final) should emit:
|
||||
session, iteration, observation — then call next() for continuation.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.react_pattern import ReactPattern
|
||||
from trustgraph.agent.react.types import Action
|
||||
|
||||
# Create a mock tool
|
||||
mock_tool = MagicMock()
|
||||
mock_tool.name = "knowledge-query"
|
||||
mock_tool.description = "Query the knowledge base"
|
||||
mock_tool.arguments = []
|
||||
mock_tool.groups = []
|
||||
mock_tool.states = {}
|
||||
mock_tool_impl = AsyncMock(return_value="The answer is 42")
|
||||
mock_tool.implementation = MagicMock(return_value=mock_tool_impl)
|
||||
|
||||
processor = make_mock_processor(
|
||||
tools={"knowledge-query": mock_tool}
|
||||
)
|
||||
pattern = ReactPattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
request = make_base_request()
|
||||
|
||||
action = Action(
|
||||
thought="I need to look this up",
|
||||
name="knowledge-query",
|
||||
arguments={"question": "What is quantum computing?"},
|
||||
observation="Quantum computing uses qubits.",
|
||||
)
|
||||
|
||||
with patch(
|
||||
'trustgraph.agent.orchestrator.react_pattern.AgentManager'
|
||||
) as MockAM:
|
||||
mock_am = AsyncMock()
|
||||
MockAM.return_value = mock_am
|
||||
|
||||
async def mock_react(question, history, think, observe, answer,
|
||||
context, streaming, on_action):
|
||||
if on_action:
|
||||
await on_action(action)
|
||||
return action
|
||||
|
||||
mock_am.react.side_effect = mock_react
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have 3 events: session, iteration, observation
|
||||
assert len(events) == 3, (
|
||||
f"Expected 3 explain events (session, iteration, observation), "
|
||||
f"got {len(events)}: {[e['explain_id'] for e in events]}"
|
||||
)
|
||||
|
||||
assert has_type(events[0]["triples"], events[0]["explain_id"], TG_AGENT_QUESTION)
|
||||
assert has_type(events[1]["triples"], events[1]["explain_id"], TG_ANALYSIS)
|
||||
assert has_type(events[2]["triples"], events[2]["explain_id"], TG_OBSERVATION_TYPE)
|
||||
|
||||
# next() should have been called to continue the loop
|
||||
assert next_fn.called
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_all_triples_in_retrieval_graph(self):
|
||||
"""All explain triples should be in urn:graph:retrieval."""
|
||||
from trustgraph.agent.orchestrator.react_pattern import ReactPattern
|
||||
from trustgraph.agent.react.types import Action, Final
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = ReactPattern(processor)
|
||||
respond = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
with patch(
|
||||
'trustgraph.agent.orchestrator.react_pattern.AgentManager'
|
||||
) as MockAM:
|
||||
mock_am = AsyncMock()
|
||||
MockAM.return_value = mock_am
|
||||
|
||||
async def mock_react(question, history, think, observe, answer,
|
||||
context, streaming, on_action):
|
||||
if on_action:
|
||||
await on_action(Action(
|
||||
thought="done", name="final",
|
||||
arguments={}, observation="",
|
||||
))
|
||||
return Final(thought="done", final="answer")
|
||||
|
||||
mock_am.react.side_effect = mock_react
|
||||
await pattern.iterate(
|
||||
make_base_request(), respond, AsyncMock(), flow,
|
||||
)
|
||||
|
||||
for event in collect_explain_events(respond):
|
||||
for t in event["triples"]:
|
||||
assert t.g == GRAPH_RETRIEVAL
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Plan-then-execute pattern tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
class TestPlanPatternProvenance:
|
||||
"""
|
||||
Plan pattern chain:
|
||||
Planning iteration: session → plan
|
||||
Execution iterations: step-result(s) → synthesis
|
||||
"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_planning_iteration_emits_session_and_plan(self):
|
||||
"""
|
||||
The first iteration (planning) should emit:
|
||||
session, plan — then call next() with the plan in history.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.plan_pattern import PlanThenExecutePattern
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = PlanThenExecutePattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
# Mock prompt client for plan creation
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = [
|
||||
{"goal": "Find information", "tool_hint": "knowledge-query", "depends_on": []},
|
||||
{"goal": "Summarise findings", "tool_hint": "", "depends_on": [0]},
|
||||
]
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
request = make_base_request(pattern="plan")
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have 2 events: session, plan
|
||||
assert len(events) == 2, (
|
||||
f"Expected 2 explain events (session, plan), "
|
||||
f"got {len(events)}: {[e['explain_id'] for e in events]}"
|
||||
)
|
||||
|
||||
assert has_type(events[0]["triples"], events[0]["explain_id"], TG_AGENT_QUESTION)
|
||||
assert has_type(events[1]["triples"], events[1]["explain_id"], TG_PLAN_TYPE)
|
||||
|
||||
# Plan should derive from session
|
||||
all_triples = []
|
||||
for e in events:
|
||||
all_triples.extend(e["triples"])
|
||||
assert derived_from(all_triples, events[1]["explain_id"]) == events[0]["explain_id"]
|
||||
|
||||
# next() should have been called with plan in history
|
||||
assert next_fn.called
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_execution_iteration_emits_step_result(self):
|
||||
"""
|
||||
An execution iteration should emit a step-result event.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.plan_pattern import PlanThenExecutePattern
|
||||
|
||||
# Create a mock tool
|
||||
mock_tool = MagicMock()
|
||||
mock_tool.name = "knowledge-query"
|
||||
mock_tool.description = "Query KB"
|
||||
mock_tool.arguments = []
|
||||
mock_tool.groups = []
|
||||
mock_tool.states = {}
|
||||
mock_tool_impl = AsyncMock(return_value="Found the answer")
|
||||
mock_tool.implementation = MagicMock(return_value=mock_tool_impl)
|
||||
|
||||
processor = make_mock_processor(
|
||||
tools={"knowledge-query": mock_tool}
|
||||
)
|
||||
pattern = PlanThenExecutePattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
# Mock prompt for step execution
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = {
|
||||
"tool": "knowledge-query",
|
||||
"arguments": {"question": "quantum computing"},
|
||||
}
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
# Request with plan already in history (second iteration)
|
||||
plan_step = AgentStep(
|
||||
thought="Created plan",
|
||||
action="plan",
|
||||
arguments={},
|
||||
observation="[]",
|
||||
step_type="plan",
|
||||
plan=[
|
||||
PlanStep(goal="Find info", tool_hint="knowledge-query",
|
||||
depends_on=[], status="pending", result=""),
|
||||
],
|
||||
)
|
||||
request = make_base_request(
|
||||
pattern="plan",
|
||||
history=[plan_step],
|
||||
)
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have step-result (no session on iteration > 1)
|
||||
step_events = [
|
||||
e for e in events
|
||||
if has_type(e["triples"], e["explain_id"], TG_STEP_RESULT)
|
||||
]
|
||||
assert len(step_events) == 1, (
|
||||
f"Expected 1 step-result event, got {len(step_events)}"
|
||||
)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesis_after_all_steps_complete(self):
|
||||
"""
|
||||
When all plan steps are completed, synthesis should be emitted.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.plan_pattern import PlanThenExecutePattern
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = PlanThenExecutePattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
# Mock prompt for synthesis
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = "The synthesised answer."
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
# Request with all steps completed
|
||||
exec_step = AgentStep(
|
||||
thought="Executing step",
|
||||
action="knowledge-query",
|
||||
arguments={},
|
||||
observation="Result",
|
||||
step_type="execute",
|
||||
plan=[
|
||||
PlanStep(goal="Find info", tool_hint="knowledge-query",
|
||||
depends_on=[], status="completed", result="Found it"),
|
||||
],
|
||||
)
|
||||
request = make_base_request(
|
||||
pattern="plan",
|
||||
history=[exec_step],
|
||||
)
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have synthesis event
|
||||
synth_events = [
|
||||
e for e in events
|
||||
if has_type(e["triples"], e["explain_id"], TG_AGENT_SYNTHESIS)
|
||||
]
|
||||
assert len(synth_events) == 1, (
|
||||
f"Expected 1 synthesis event, got {len(synth_events)}"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Supervisor pattern tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
class TestSupervisorPatternProvenance:
|
||||
"""
|
||||
Supervisor pattern chain:
|
||||
Decompose: session → decomposition
|
||||
(Fan-out to subagents happens externally)
|
||||
Synthesise: synthesis (derives from findings)
|
||||
"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_decompose_emits_session_and_decomposition(self):
|
||||
"""
|
||||
The decompose phase should emit: session, decomposition.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.supervisor_pattern import SupervisorPattern
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = SupervisorPattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
# Mock prompt for decomposition
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = [
|
||||
"What is quantum computing?",
|
||||
"What are qubits?",
|
||||
]
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
request = make_base_request(pattern="supervisor")
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have 2 events: session, decomposition
|
||||
assert len(events) == 2, (
|
||||
f"Expected 2 explain events (session, decomposition), "
|
||||
f"got {len(events)}: {[e['explain_id'] for e in events]}"
|
||||
)
|
||||
|
||||
assert has_type(events[0]["triples"], events[0]["explain_id"], TG_AGENT_QUESTION)
|
||||
assert has_type(events[1]["triples"], events[1]["explain_id"], TG_DECOMPOSITION)
|
||||
|
||||
# Decomposition derives from session
|
||||
all_triples = []
|
||||
for e in events:
|
||||
all_triples.extend(e["triples"])
|
||||
assert derived_from(all_triples, events[1]["explain_id"]) == events[0]["explain_id"]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesis_emits_after_subagent_results(self):
|
||||
"""
|
||||
When subagent results arrive, synthesis should be emitted.
|
||||
"""
|
||||
from trustgraph.agent.orchestrator.supervisor_pattern import SupervisorPattern
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = SupervisorPattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
# Mock prompt for synthesis
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = "The combined answer."
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
# Request with subagent results in history
|
||||
synth_step = AgentStep(
|
||||
thought="",
|
||||
action="synthesise",
|
||||
arguments={},
|
||||
observation="",
|
||||
step_type="synthesise",
|
||||
subagent_results={
|
||||
"What is quantum computing?": "It uses qubits",
|
||||
"What are qubits?": "Quantum bits",
|
||||
},
|
||||
)
|
||||
request = make_base_request(
|
||||
pattern="supervisor",
|
||||
history=[synth_step],
|
||||
)
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
events = collect_explain_events(respond)
|
||||
|
||||
# Should have synthesis event (no session on iteration > 1)
|
||||
synth_events = [
|
||||
e for e in events
|
||||
if has_type(e["triples"], e["explain_id"], TG_AGENT_SYNTHESIS)
|
||||
]
|
||||
assert len(synth_events) == 1
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_decompose_fans_out_subagents(self):
|
||||
"""The decompose phase should call next() for each subagent goal."""
|
||||
from trustgraph.agent.orchestrator.supervisor_pattern import SupervisorPattern
|
||||
|
||||
processor = make_mock_processor()
|
||||
pattern = SupervisorPattern(processor)
|
||||
|
||||
respond = AsyncMock()
|
||||
next_fn = AsyncMock()
|
||||
flow = make_mock_flow()
|
||||
|
||||
mock_prompt_client = AsyncMock()
|
||||
mock_prompt_client.prompt.return_value = ["Goal A", "Goal B", "Goal C"]
|
||||
|
||||
def flow_factory(name):
|
||||
if name == "prompt-request":
|
||||
return mock_prompt_client
|
||||
return AsyncMock()
|
||||
flow.side_effect = flow_factory
|
||||
|
||||
request = make_base_request(pattern="supervisor")
|
||||
|
||||
await pattern.iterate(request, respond, next_fn, flow)
|
||||
|
||||
# 3 subagent requests fanned out
|
||||
assert next_fn.call_count == 3
|
||||
Loading…
Add table
Add a link
Reference in a new issue