Explain the new agents.defaults.disabledSkills option so users can discover and configure skill exclusion from the main agent and subagents.
Made-with: Cursor
Rename the auto compact module to autocompact.py for a cleaner path while keeping the AutoCompact type and behavior unchanged. Update the agent loop import to match.
Prefer the more user-friendly idleCompactAfterMinutes name for auto compact while keeping sessionTtlMinutes as a backward-compatible alias. Update tests and README to document the retained recent-context behavior and the new preferred key.
Keep a legal recent suffix in idle auto-compacted sessions so resumed chats preserve their freshest live context while older messages are summarized. Recover persisted summaries even when retained messages remain, and document the new behavior.
Keep tool-call assistant messages valid across provider sanitization and avoid trailing user-only history after model errors. This prevents follow-up requests from sending broken tool chains back to the gateway.
- Adjusted message handling in AgentRunner to ensure that historical messages remain unchanged during context governance.
- Introduced tests to verify that backfill operations do not alter the saved message boundary, maintaining the integrity of the conversation history.
- Merged latest main (no conflicts)
- Added warning log when only one of proxy_username/proxy_password is set
- Added test_start_no_proxy_auth_when_only_password for coverage parity
Made-with: Cursor
- Merged latest main (no conflicts)
- Added test_llm_error_not_appended_to_session_messages: verifies error
content stays out of session messages
- Added test_streamed_flag_not_set_on_llm_error: verifies _streamed is
not set when LLM returns an error, so ChannelManager delivers it
Made-with: Cursor
Resolved conflict in azure_openai_provider.py by keeping main's
Responses API implementation (role alternation not needed for the
Responses API input format).
Made-with: Cursor
Keep importlib.metadata as the primary source for installed packages, but avoid PackageNotFoundError when nanobot is imported directly from a source tree.
Made-with: Cursor
Keep manual runs from flipping the scheduler's running flag, rebuild merged run history records from action logs, and avoid delaying sub-second jobs to a one-second floor. Add regression coverage for disabled/manual runs, merged history persistence, and sub-second timers.
Made-with: Cursor
Preserve path folding for quoted exec command paths with spaces so hint previews do not fall back to mid-path truncation. Add regression coverage for quoted Unix and Windows path cases.
Made-with: Cursor
ExecTool hardcoded bash, breaking exec on Windows. Now uses cmd.exe
via COMSPEC on Windows with a curated minimal env (PATH, SYSTEMROOT,
etc.) that excludes secrets. bwrap sandbox gracefully skips on Windows.
- Fix assertion in streaming dict fallback test (trailing space in data
not reflected in expected value).
- Add two regression tests proving that models with reasoning_content
(e.g. DeepSeek-R1) and standard models (no reasoning fields) are
completely unaffected by the reasoning fallback.
Made-with: Cursor
- Drop *.pycs, *.pywz, *.pyzz — not real Python file extensions.
- Move nano.*.save from "Project-specific" to "Editors & IDEs" where
it belongs (nano editor backup files, not project artifacts).
Made-with: Cursor
- Propagate `description` from MCP prompt arguments into the JSON
Schema so LLMs can better understand prompt parameters.
- Align generic-exception error message with tool/resource wrappers
(drop redundant `{exc}` detail).
- Extend test fixture to mock `mcp.shared.exceptions.McpError`.
- Add tests for argument description forwarding and McpError handling.
Made-with: Cursor
supports_streaming already handles dict configs via isinstance check;
only is_allowed() fails with plain dicts. Narrow the explanation.
Made-with: Cursor
- Move _tool_hint implementation from loop.py to nanobot/utils/tool_hints.py
- Keep thin delegation in AgentLoop._tool_hint for backward compat
- Update test imports to test format_tool_hints directly
Made-with: Cursor
The _parse_tavily_usage implementation was updated to use the real
{account: {plan_usage, plan_limit, ...}} structure, but the tests
still used the old flat {used, limit, breakdown} format.
Made-with: Cursor
Merge the three retry-after header parsers (base, OpenAI, Anthropic)
into a single _extract_retry_after_from_headers on LLMProvider that
handles retry-after-ms, case-insensitive lookup, and HTTP date.
Remove the per-provider _parse_retry_after_headers duplicates and
their now-unused email.utils / time imports. Add test for retry-after-ms.
Made-with: Cursor
- Add byteplus and byteplus_coding_plan to thinking param providers
- Only send extra_body when reasoning_effort is explicitly set
- Use setdefault().update() to avoid clobbering existing extra_body
- Add 7 regression tests for thinking params
Made-with: Cursor
When the primary transcription provider fails (bad key, API error, etc.),
automatically try the other provider if its API key is available.
Made-with: Cursor
- Add missing return after failed password login to prevent starting
sync loop with no credentials
- Replace f-strings in logger calls with loguru {} placeholders
- Fix stdlib import order (asyncio before json)
Made-with: Cursor
- Use import importlib.util (not bare importlib) for find_spec
- Warn and fall back to standard openai instead of crashing with
ImportError when LANGFUSE_SECRET_KEY is set but langfuse is missing
Made-with: Cursor
If _fetch_bot_open_id returns None the exact-match path would silently
disable all @mention detection. Restore the old heuristic as a fallback.
Add 6 unit tests for _is_bot_mentioned covering both paths.
Made-with: Cursor
Seeding PATH in the env before bash -l caused /etc/profile
to skip its default PATH setup, breaking standard commands.
Move path_append to an inline export so the login shell
establishes a proper base PATH first.
Add regression test: ls still works when path_append is set.
Made-with: Cursor
The same test function name appeared twice; Python silently shadows the
first definition so it never ran. Keep the version that also asserts
the request URL contains "s.jina.ai".
Made-with: Cursor
Use dream_log and dream_restore in Telegram's bot command menu so command registration succeeds, while still accepting the original dream-log and dream-restore forms in chat. Keep the internal command routing unchanged and add coverage for the alias normalization path.
Xubin Ren
