dongarandClaude Opus 5.5
15d69799bf
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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>
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""Live planning turn: a real model must answer with a submit_plan or
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ask_human tool call, not prose.
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Plans with the test config's planner role. Planning escalates to a frontier
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model unconditionally (A12), and small local models do not hold the tool-call
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contract reliably, so that role must be one that does.
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"""
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import io
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from pathlib import Path
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import pytest
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from nisse_dev.canonical import UserMessage
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from nisse_dev.control import AskHuman, SubmitPlan
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from nisse_dev.llm import LiteLLMClient, RoleMap
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from nisse_dev.oplog import OpLog
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from nisse_dev.planner import LLMPlanningAgent
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from nisse_dev.state import StateStore
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pytestmark = pytest.mark.integration
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def test_live_planning_turn_returns_a_tool_action(
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tmp_path: Path, litellm: LiteLLMClient, live_model: str
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) -> None:
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model = live_model
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roles = RoleMap(executor=model, planner=model, delegate=model, consultant=model)
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store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
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store.append_event(
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UserMessage(
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text=(
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"Project 'hello-cli': a Python script that prints a greeting. "
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"Draft the architecture plan."
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),
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source="live-test",
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)
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)
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agent = LLMPlanningAgent(litellm, store, roles)
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action = agent.plan("arch", "hello-cli")
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assert isinstance(action, SubmitPlan | AskHuman)
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text = action.content if isinstance(action, SubmitPlan) else action.question
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assert text.strip(), "tool call carried empty content"
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# The turn must be durable regardless of what the model said (A2/A10).
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assert len(store.read_events()) > 1
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