fix(config): retire max messages setting
This commit is contained in:
@@ -57,7 +57,7 @@ from nanobot.session.goal_state import (
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sustained_goal_active,
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)
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from nanobot.session.keys import UNIFIED_SESSION_KEY, session_key_for_channel
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from nanobot.session.manager import Session, SessionManager
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from nanobot.session.manager import DEFAULT_REPLAY_MAX_MESSAGES, Session, SessionManager
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from nanobot.utils.document import extract_documents, reference_non_image_attachments
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from nanobot.utils.helpers import image_placeholder_text
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from nanobot.utils.helpers import truncate_text as truncate_text_fn
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@@ -201,7 +201,7 @@ class AgentLoop:
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timezone: str | None = None,
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session_ttl_minutes: int = 0,
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consolidation_ratio: float = 0.5,
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max_messages: int = 500,
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max_messages: int = DEFAULT_REPLAY_MAX_MESSAGES,
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hooks: list[AgentHook] | None = None,
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unified_session: bool = False,
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disabled_skills: list[str] | None = None,
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@@ -292,7 +292,9 @@ class AgentLoop:
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llm_wall_timeout_for_session=lambda sk: runner_wall_llm_timeout_s(self.sessions, sk),
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)
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self._unified_session = unified_session
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self._max_messages = max_messages if max_messages > 0 else 500
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self._max_messages = (
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max_messages if max_messages > 0 else DEFAULT_REPLAY_MAX_MESSAGES
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)
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self._running = False
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self._mcp_servers = mcp_servers or {}
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self._mcp_stacks: dict[str, AsyncExitStack] = {}
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@@ -390,7 +392,6 @@ class AgentLoop:
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disabled_skills=defaults.disabled_skills,
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session_ttl_minutes=defaults.session_ttl_minutes,
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consolidation_ratio=defaults.consolidation_ratio,
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max_messages=defaults.max_messages,
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tools_config=config.tools,
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model_presets=preset_helpers.configured_model_presets(config),
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model_preset=defaults.model_preset,
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@@ -7,6 +7,7 @@ from pathlib import Path
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from typing import Any
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import pydantic
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from loguru import logger
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from pydantic import BaseModel
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from nanobot.config.schema import Config, _resolve_tool_config_refs
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@@ -152,6 +153,23 @@ def _env_replace(match: re.Match[str]) -> str:
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def _migrate_config(data: dict) -> dict:
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"""Migrate old config formats to current."""
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agents = data.get("agents", {})
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defaults = agents.get("defaults", {}) if isinstance(agents, dict) else {}
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if isinstance(defaults, dict):
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legacy_max_message_keys = [
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key for key in ("maxMessages", "max_messages") if key in defaults
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]
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if legacy_max_message_keys:
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for key in legacy_max_message_keys:
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defaults.pop(key, None)
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# TODO(next version): Remove this legacy cleanup branch; the schema
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# will silently ignore this field once the warning grace period ends.
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logger.warning(
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"agents.defaults.maxMessages/max_messages is legacy and ignored; "
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"replay max messages is now an internal safety cap. Remove it from "
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"config. This compatibility warning will be removed in the next version."
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)
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# Move tools.exec.restrictToWorkspace → tools.restrictToWorkspace
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tools = data.get("tools", {})
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exec_cfg = tools.get("exec", {})
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@@ -154,10 +154,6 @@ class AgentDefaults(Base):
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validation_alias=AliasChoices("idleCompactAfterMinutes", "sessionTtlMinutes"),
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serialization_alias="idleCompactAfterMinutes",
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) # Auto-compact idle threshold in minutes (0 = disabled)
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max_messages: int = Field(
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default=500,
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ge=0,
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) # Last-resort max messages to replay from session history (0 = use default 500)
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consolidation_ratio: float = Field(
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default=0.5,
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ge=0.1,
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@@ -27,6 +27,7 @@ from nanobot.utils.helpers import (
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from nanobot.utils.subagent_channel_display import scrub_subagent_announce_body
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FILE_MAX_MESSAGES = 2000
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DEFAULT_REPLAY_MAX_MESSAGES = 500
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_MESSAGE_TIME_PREFIX_RE = re.compile(r"^\[Message Time: [^\]]+\]\n?")
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_LOCAL_IMAGE_BREADCRUMB_RE = re.compile(r"^\[image: (?:/|~)[^\]]+\]\s*$")
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_TOOL_CALL_ECHO_RE = re.compile(r'^\s*(?:generate_image|message)\([^)]*\)\s*$')
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@@ -132,7 +133,7 @@ class Session:
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def get_history(
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self,
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max_messages: int = 500,
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max_messages: int = DEFAULT_REPLAY_MAX_MESSAGES,
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*,
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max_tokens: int = 0,
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extend_to_user: bool = False,
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@@ -143,7 +144,7 @@ class Session:
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token budget from the tail (``max_tokens``) when provided.
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"""
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unconsolidated = self.messages[self.last_consolidated:]
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max_messages = max_messages if max_messages > 0 else 500
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max_messages = max_messages if max_messages > 0 else DEFAULT_REPLAY_MAX_MESSAGES
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start_idx = recent_message_start_index(
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unconsolidated,
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max_messages,
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@@ -1,4 +1,4 @@
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"""Tests for max_messages config wiring into session history replay."""
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"""Tests for the internal max_messages replay cap."""
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from __future__ import annotations
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@@ -11,9 +11,9 @@ from nanobot.agent.loop import AgentLoop
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from nanobot.bus.events import InboundMessage
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from nanobot.bus.queue import MessageBus
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from nanobot.providers.base import LLMResponse
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from nanobot.session.manager import Session
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from nanobot.session.manager import DEFAULT_REPLAY_MAX_MESSAGES, Session
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DEFAULT_MAX_MESSAGES = 500
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DEFAULT_MAX_MESSAGES = DEFAULT_REPLAY_MAX_MESSAGES
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def _make_loop(tmp_path: Path, max_messages: int = DEFAULT_MAX_MESSAGES) -> AgentLoop:
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@@ -103,10 +103,10 @@ class TestGetHistoryWithMaxMessages:
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class TestMaxMessagesIntegration:
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"""Verify the config flows from AgentLoop into get_history calls."""
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"""Verify AgentLoop passes the replay cap into get_history calls."""
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@pytest.mark.asyncio
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async def test_process_message_passes_config_to_history_call(self, tmp_path: Path) -> None:
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async def test_process_message_passes_limit_to_history_call(self, tmp_path: Path) -> None:
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"""The real message path should pass max_messages into session history replay."""
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loop = _make_loop(tmp_path, max_messages=25)
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loop.provider.chat_with_retry = AsyncMock(
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@@ -127,7 +127,7 @@ class TestMaxMessagesIntegration:
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assert mock_hist.call_args.kwargs["extend_to_user"] is False
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@pytest.mark.asyncio
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async def test_zero_config_passes_builtin_limit_to_history_call(self, tmp_path: Path) -> None:
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async def test_zero_limit_passes_builtin_limit_to_history_call(self, tmp_path: Path) -> None:
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loop = _make_loop(tmp_path, max_messages=0)
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loop.provider.chat_with_retry = AsyncMock(
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return_value=LLMResponse(content="ok", tool_calls=[], usage={})
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@@ -182,31 +182,3 @@ class TestMaxMessagesIntegration:
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sent_text = "\n".join(str(message.get("content")) for message in sent_messages)
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assert "new question" in sent_text
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assert "long older turn" not in sent_text
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class TestSchemaConfig:
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"""Verify the config schema accepts max_messages."""
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def test_schema_default(self) -> None:
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from nanobot.config.schema import AgentDefaults
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defaults = AgentDefaults()
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assert defaults.max_messages == DEFAULT_MAX_MESSAGES
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def test_schema_accepts_zero_as_builtin_limit(self) -> None:
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from nanobot.config.schema import AgentDefaults
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defaults = AgentDefaults(max_messages=0)
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assert defaults.max_messages == 0
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def test_schema_accepts_positive(self) -> None:
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from nanobot.config.schema import AgentDefaults
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defaults = AgentDefaults(max_messages=25)
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assert defaults.max_messages == 25
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def test_schema_rejects_negative(self) -> None:
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from nanobot.config.schema import AgentDefaults
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with pytest.raises(Exception): # Pydantic validation error
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AgentDefaults(max_messages=-1)
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@@ -2,6 +2,8 @@ import json
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import socket
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from unittest.mock import patch
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import pytest
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from nanobot.config.loader import load_config, save_config
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from nanobot.security.network import validate_url_target
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@@ -93,6 +95,41 @@ def test_onboard_does_not_crash_with_legacy_memory_window(tmp_path, monkeypatch)
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assert result.exit_code == 0
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@pytest.mark.parametrize("field_name", ["maxMessages", "max_messages"])
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def test_load_config_warns_and_ignores_legacy_max_messages(tmp_path, field_name) -> None:
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config_path = tmp_path / "config.json"
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config_path.write_text(
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json.dumps({"agents": {"defaults": {field_name: 25, "maxTokens": 1234}}}),
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encoding="utf-8",
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)
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with patch("nanobot.config.loader.logger.warning") as warning:
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config = load_config(config_path)
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assert config.agents.defaults.max_tokens == 1234
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assert not hasattr(config.agents.defaults, "max_messages")
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warning.assert_called_once()
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message = warning.call_args.args[0]
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assert "legacy and ignored" in message
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assert "next version" in message
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def test_save_config_drops_legacy_max_messages(tmp_path) -> None:
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config_path = tmp_path / "config.json"
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config_path.write_text(
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json.dumps({"agents": {"defaults": {"maxMessages": 25}}}),
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encoding="utf-8",
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)
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with patch("nanobot.config.loader.logger.warning"):
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config = load_config(config_path)
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save_config(config, config_path)
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saved = json.loads(config_path.read_text(encoding="utf-8"))
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assert "maxMessages" not in saved["agents"]["defaults"]
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assert "max_messages" not in saved["agents"]["defaults"]
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def test_onboard_refresh_backfills_missing_channel_fields(tmp_path, monkeypatch) -> None:
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from types import SimpleNamespace
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