Merge origin/main into fix/cron-contract-repeat-guard
Made-with: Cursor
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+236
-8
@@ -643,10 +643,11 @@ def test_snip_history_drops_orphaned_tool_results_from_trimmed_slice(monkeypatch
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trimmed = runner._snip_history(spec, messages)
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assert trimmed == [
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{"role": "system", "content": "system"},
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{"role": "assistant", "content": "after tool"},
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]
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# After the fix, the user message is recovered so the sequence is valid
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# for providers that require system → user (e.g. GLM error 1214).
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assert trimmed[0]["role"] == "system"
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non_system = [m for m in trimmed if m["role"] != "system"]
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assert non_system[0]["role"] == "user", f"Expected user after system, got {non_system[0]['role']}"
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@pytest.mark.asyncio
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@@ -689,11 +690,20 @@ async def test_runner_keeps_going_when_tool_result_persistence_fails():
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class _DelayTool(Tool):
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def __init__(self, name: str, *, delay: float, read_only: bool, shared_events: list[str]):
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def __init__(
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self,
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name: str,
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*,
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delay: float,
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read_only: bool,
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shared_events: list[str],
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exclusive: bool = False,
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):
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self._name = name
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self._delay = delay
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self._read_only = read_only
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self._shared_events = shared_events
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self._exclusive = exclusive
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@property
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def name(self) -> str:
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@@ -711,6 +721,10 @@ class _DelayTool(Tool):
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def read_only(self) -> bool:
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return self._read_only
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@property
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def exclusive(self) -> bool:
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return self._exclusive
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async def execute(self, **kwargs):
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self._shared_events.append(f"start:{self._name}")
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await asyncio.sleep(self._delay)
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@@ -756,6 +770,48 @@ async def test_runner_batches_read_only_tools_before_exclusive_work():
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assert shared_events[-2:] == ["start:write_a", "end:write_a"]
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@pytest.mark.asyncio
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async def test_runner_does_not_batch_exclusive_read_only_tools():
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from nanobot.agent.runner import AgentRunSpec, AgentRunner
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tools = ToolRegistry()
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shared_events: list[str] = []
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read_a = _DelayTool("read_a", delay=0.03, read_only=True, shared_events=shared_events)
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read_b = _DelayTool("read_b", delay=0.03, read_only=True, shared_events=shared_events)
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ddg_like = _DelayTool(
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"ddg_like",
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delay=0.01,
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read_only=True,
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shared_events=shared_events,
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exclusive=True,
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)
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tools.register(read_a)
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tools.register(ddg_like)
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tools.register(read_b)
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runner = AgentRunner(MagicMock())
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await runner._execute_tools(
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AgentRunSpec(
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initial_messages=[],
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tools=tools,
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model="test-model",
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max_iterations=1,
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max_tool_result_chars=_MAX_TOOL_RESULT_CHARS,
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concurrent_tools=True,
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),
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[
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ToolCallRequest(id="ro1", name="read_a", arguments={}),
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ToolCallRequest(id="ddg1", name="ddg_like", arguments={}),
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ToolCallRequest(id="ro2", name="read_b", arguments={}),
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],
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{},
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)
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assert shared_events[0] == "start:read_a"
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assert shared_events.index("end:read_a") < shared_events.index("start:ddg_like")
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assert shared_events.index("end:ddg_like") < shared_events.index("start:read_b")
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@pytest.mark.asyncio
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async def test_runner_blocks_repeated_external_fetches():
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from nanobot.agent.runner import AgentRunSpec, AgentRunner
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@@ -1060,7 +1116,7 @@ async def test_runner_tool_error_sets_final_content():
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@pytest.mark.asyncio
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async def test_subagent_max_iterations_announces_existing_fallback(tmp_path, monkeypatch):
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from nanobot.agent.subagent import SubagentManager
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from nanobot.agent.subagent import SubagentManager, SubagentStatus
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from nanobot.bus.queue import MessageBus
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bus = MessageBus()
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@@ -1083,7 +1139,8 @@ async def test_subagent_max_iterations_announces_existing_fallback(tmp_path, mon
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monkeypatch.setattr("nanobot.agent.tools.filesystem.ListDirTool.execute", fake_execute)
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await mgr._run_subagent("sub-1", "do task", "label", {"channel": "test", "chat_id": "c1"})
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status = SubagentStatus(task_id="sub-1", label="label", task_description="do task", started_at=time.monotonic())
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await mgr._run_subagent("sub-1", "do task", "label", {"channel": "test", "chat_id": "c1"}, status)
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mgr._announce_result.assert_awaited_once()
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args = mgr._announce_result.await_args.args
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@@ -2773,4 +2830,175 @@ async def test_injection_cycle_cap_on_error_path():
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assert result.had_injections is True
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# Should cap: _MAX_INJECTION_CYCLES drained rounds + 1 final round that breaks
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assert call_count["n"] == _MAX_INJECTION_CYCLES + 1
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assert drain_count["n"] == _MAX_INJECTION_CYCLES
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# ---------------------------------------------------------------------------
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# Regression tests for GLM-1214: _snip_history must preserve a user message
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# ---------------------------------------------------------------------------
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def test_snip_history_preserves_user_message_after_truncation(monkeypatch):
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"""When _snip_history truncates messages and the only user message ends up
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outside the kept window, the method must recover the nearest user message
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so the resulting sequence is valid for providers like GLM (which reject
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system→assistant with error 1214).
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This reproduces the exact scenario from the bug report:
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- Normal interaction: user asks, assistant calls tool, tool returns,
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assistant replies.
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- Injection adds a phantom user message, triggering more tool calls.
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- _snip_history activates, keeping only recent assistant/tool pairs.
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- The injected user message is in the truncated prefix and gets lost.
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"""
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from nanobot.agent.runner import AgentRunSpec, AgentRunner
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provider = MagicMock()
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tools = MagicMock()
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tools.get_definitions.return_value = []
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runner = AgentRunner(provider)
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messages = [
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{"role": "system", "content": "system"},
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{"role": "assistant", "content": "previous reply"},
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{"role": "user", "content": ".nanobot的同目录"},
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [{"id": "tc_1", "type": "function", "function": {"name": "exec", "arguments": "{}"}}],
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},
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{"role": "tool", "tool_call_id": "tc_1", "content": "tool output 1"},
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [{"id": "tc_2", "type": "function", "function": {"name": "exec", "arguments": "{}"}}],
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},
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{"role": "tool", "tool_call_id": "tc_2", "content": "tool output 2"},
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]
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spec = AgentRunSpec(
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initial_messages=messages,
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tools=tools,
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model="test-model",
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max_iterations=1,
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max_tool_result_chars=_MAX_TOOL_RESULT_CHARS,
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context_window_tokens=2000,
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context_block_limit=100,
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)
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# Make estimate_prompt_tokens_chain report above budget so _snip_history activates.
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monkeypatch.setattr("nanobot.agent.runner.estimate_prompt_tokens_chain", lambda *_a, **_kw: (500, None))
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# Make kept window small: only the last 2 messages fit the budget.
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token_sizes = {
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"system": 0,
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"previous reply": 200,
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".nanobot的同目录": 80,
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"tool output 1": 80,
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"tool output 2": 80,
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}
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monkeypatch.setattr(
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"nanobot.agent.runner.estimate_message_tokens",
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lambda msg: token_sizes.get(str(msg.get("content")), 100),
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)
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trimmed = runner._snip_history(spec, messages)
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# The first non-system message MUST be user (not assistant).
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non_system = [m for m in trimmed if m.get("role") != "system"]
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assert non_system, "trimmed should contain at least one non-system message"
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assert non_system[0]["role"] == "user", (
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f"First non-system message must be 'user', got '{non_system[0]['role']}'. "
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f"Roles: {[m['role'] for m in trimmed]}"
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)
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def test_snip_history_no_user_at_all_falls_back_gracefully(monkeypatch):
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"""Edge case: if non_system has zero user messages, _snip_history should
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still return a valid sequence (not crash or produce system→assistant)."""
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from nanobot.agent.runner import AgentRunSpec, AgentRunner
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provider = MagicMock()
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tools = MagicMock()
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tools.get_definitions.return_value = []
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runner = AgentRunner(provider)
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messages = [
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{"role": "system", "content": "system"},
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{"role": "assistant", "content": "reply"},
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{"role": "tool", "tool_call_id": "tc_1", "content": "result"},
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{"role": "assistant", "content": "reply 2"},
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{"role": "tool", "tool_call_id": "tc_2", "content": "result 2"},
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]
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spec = AgentRunSpec(
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initial_messages=messages,
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tools=tools,
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model="test-model",
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max_iterations=1,
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max_tool_result_chars=_MAX_TOOL_RESULT_CHARS,
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context_window_tokens=2000,
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context_block_limit=100,
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)
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monkeypatch.setattr("nanobot.agent.runner.estimate_prompt_tokens_chain", lambda *_a, **_kw: (500, None))
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monkeypatch.setattr(
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"nanobot.agent.runner.estimate_message_tokens",
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lambda msg: 100,
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)
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trimmed = runner._snip_history(spec, messages)
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# Should not crash. The result should still be a valid list.
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assert isinstance(trimmed, list)
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# Must have at least system.
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assert any(m.get("role") == "system" for m in trimmed)
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# The _enforce_role_alternation safety net must be able to fix whatever
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# _snip_history returns here — verify it produces a valid sequence.
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from nanobot.providers.base import LLMProvider
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fixed = LLMProvider._enforce_role_alternation(trimmed)
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non_system = [m for m in fixed if m["role"] != "system"]
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if non_system:
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assert non_system[0]["role"] in ("user", "tool"), (
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f"Safety net should ensure first non-system is user/tool, got {non_system[0]['role']}"
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)
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@pytest.mark.asyncio
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async def test_runner_binds_on_retry_wait_to_retry_callback_not_progress():
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"""Regression: provider retry heartbeats must route through
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``retry_wait_callback``, not ``progress_callback``. Binding them to
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the progress callback (as an earlier runtime refactor did) caused
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internal retry diagnostics like "Model request failed, retry in 1s"
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to leak to end-user channels as normal progress updates.
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"""
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from nanobot.agent.runner import AgentRunSpec, AgentRunner
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captured: dict = {}
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async def chat_with_retry(**kwargs):
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captured.update(kwargs)
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return LLMResponse(content="done", tool_calls=[], usage={})
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provider = MagicMock()
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provider.chat_with_retry = chat_with_retry
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tools = MagicMock()
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tools.get_definitions.return_value = []
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progress_cb = AsyncMock()
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retry_wait_cb = AsyncMock()
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runner = AgentRunner(provider)
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await runner.run(AgentRunSpec(
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initial_messages=[
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{"role": "system", "content": "system"},
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{"role": "user", "content": "hi"},
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],
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tools=tools,
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model="test-model",
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max_iterations=1,
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max_tool_result_chars=_MAX_TOOL_RESULT_CHARS,
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progress_callback=progress_cb,
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retry_wait_callback=retry_wait_cb,
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))
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assert captured["on_retry_wait"] is retry_wait_cb
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assert captured["on_retry_wait"] is not progress_cb
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