dongarandClaude Opus 5.5
15d69799bf
CI / checks (push) Skipped
CI / checks (pull_request) Successful in 51s
With no production instance yet, there is no reason to carry two ways
of configuring the agent. Every environment variable that duplicated a
config key is gone; the environment now supplies only the secrets the
file references by ${…}, plus NISSE_CONFIG and NISSE_ENV to find the
files.
- AgentConfig loads from a file (load, from_file) or a parsed tree
(from_tree, for tests); a missing file is an error naming the example
- The from_env constructors on LiteLLMClient, AnthropicPassthroughClient,
GiteaClient, MatrixConfig and RoleMap are removed, with the env
reading for max output tokens; clients take their settings from config
- The live integration tests share a committed agent config,
tests/integration/nisse-test.yaml, aimed at test resources, and one
conftest that loads it and builds clients. NISSE_LIVE_PLANNER_MODEL
becomes its planner role; NISSE_CAPABILITY_MODELS stays as a per-run
switch
- A missing secret now fails the live tests instead of skipping them
- CI passes only the three tokens
- .env.example is secrets only; spec A5 says config comes from the file
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
94 lines
3.3 KiB
Python
94 lines
3.3 KiB
Python
"""End-to-end milestone against real models: plan with the planner role,
|
|
approve through the gate, then let the executor role actually create and test
|
|
a file on disk.
|
|
|
|
Uses the test config's planner model for every role: it needs a model that
|
|
holds the tool-call contract on both ends.
|
|
"""
|
|
|
|
import io
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from nisse_dev.control import (
|
|
AWAIT_ARCH_SIGNOFF,
|
|
AWAIT_INPUT,
|
|
AWAIT_MILESTONE_SIGNOFF,
|
|
EXECUTING,
|
|
Orchestrator,
|
|
)
|
|
from nisse_dev.executor import LLMExecutor
|
|
from nisse_dev.llm import LiteLLMClient, RoleMap
|
|
from nisse_dev.oplog import OpLog
|
|
from nisse_dev.planner import LLMPlanningAgent
|
|
from nisse_dev.state import StateStore
|
|
from nisse_dev.tools import Workspace
|
|
from nisse_dev.transport import InMemoryTransport
|
|
|
|
pytestmark = pytest.mark.integration
|
|
|
|
|
|
def _drive_to_execution(
|
|
store: StateStore, transport: InMemoryTransport, max_steps: int = 10
|
|
) -> None:
|
|
"""Play the operator. A scripted approve/approve/start sequence is not
|
|
robust against a live model: ask_human is a legitimate move at any gate,
|
|
and a question shifts the state machine under a fixed script. So respond
|
|
to whatever the agent actually did."""
|
|
for _ in range(max_steps):
|
|
state = store.get_state()
|
|
assert state is not None
|
|
if state.state == EXECUTING:
|
|
return
|
|
gate = state.data.get("gate") or {}
|
|
if state.state == AWAIT_INPUT:
|
|
transport.receive("don", "Use your best judgement and proceed.")
|
|
elif state.state == AWAIT_MILESTONE_SIGNOFF and gate.get("approved"):
|
|
transport.receive("don", "start milestone 1")
|
|
elif state.state in (AWAIT_ARCH_SIGNOFF, AWAIT_MILESTONE_SIGNOFF):
|
|
transport.receive("don", "approve")
|
|
else:
|
|
raise AssertionError(f"unexpected state {state.state}")
|
|
raise AssertionError(
|
|
f"never reached execution; last message: {transport.outbound[-1]}"
|
|
)
|
|
|
|
|
|
def test_plan_approve_execute_produces_a_real_file(
|
|
tmp_path: Path, litellm: LiteLLMClient, live_model: str
|
|
) -> None:
|
|
# Both roles use the capable model here: the point is the whole gated
|
|
# loop over a real proxy, not local-model competence (measured separately).
|
|
model = live_model
|
|
roles = RoleMap(executor=model, planner=model, delegate=model, consultant=model)
|
|
client = litellm
|
|
store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
|
|
workspace = Workspace(tmp_path / "work", timeout_s=60)
|
|
transport = InMemoryTransport()
|
|
orchestrator = Orchestrator(
|
|
store,
|
|
transport,
|
|
LLMPlanningAgent(client, store, roles),
|
|
operators={"don"},
|
|
roles=roles,
|
|
executor=LLMExecutor(client, store, roles, workspace, max_turns=10),
|
|
)
|
|
orchestrator.start()
|
|
|
|
transport.receive(
|
|
"don",
|
|
"use greet. Milestone 1: create greet.py in the workspace root defining "
|
|
"greet(name) returning 'Hello, <name>!', and verify it by running python.",
|
|
)
|
|
_drive_to_execution(store, transport)
|
|
|
|
state = store.get_state()
|
|
assert state is not None
|
|
assert state.state in (EXECUTING, AWAIT_INPUT)
|
|
|
|
created = list(workspace.root.rglob("*.py"))
|
|
assert created, f"executor created no Python file; said: {transport.outbound[-1]}"
|
|
combined = "\n".join(p.read_text() for p in created)
|
|
assert "def greet" in combined
|