Add native Ollama support so local models (e.g. nemotron-3-nano) can be
used without an API key. Adds ProviderSpec with ollama_chat LiteLLM
prefix, ProvidersConfig field, and skips API key validation for local
providers.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move consolidation policy into MemoryConsolidator, keep backward compatibility for legacy config, and compress history by token budget instead of message count.
- Add --dir parameter to specify custom base directory for config and workspace
- Enables Multiple Instances initialization with isolated configurations
- Config and workspace are created under the specified directory
- Maintains backward compatibility with default ~/.nanobot/
- Updates help text and next steps with actual paths
- Updates README.md with --dir usage examples for Multiple Instances
Example usage:
nanobot onboard --dir ~/.nanobot-A
nanobot onboard --dir ~/.nanobot-B
nanobot onboard # uses default ~/.nanobot/
Ensure all modules using PEP 604 union syntax (X | Y) include
the future annotations import for Python <3.10 compatibility.
While the project requires >=3.11, this avoids import-time
TypeErrors when running tests on older interpreters.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
SIGHUP and SIGPIPE are not available on Windows. Add hasattr() checks
before registering these signal handlers to prevent AttributeError on
Windows systems.
Fixes compatibility issue introduced in PR #1400.
Add support for running multiple nanobot instances with complete isolation:
- Add --config parameter to gateway command for custom config file path
- Implement set_config_path() in config/loader.py for dynamic config path
- Derive data directory from config file location (e.g., ~/.nanobot-xxx/)
- Update get_data_path() to use unified data directory from config loader
- Ensure cron jobs use instance-specific data directory
This enables running multiple isolated nanobot instances by specifying
different config files, with each instance maintaining separate:
- Configuration files
- Workspace (memory, sessions, skills)
- Cron jobs
- Logs and media
Example usage:
nanobot gateway --config ~/.nanobot-instance2/config.json --port 18791
When a cron job fires, the agent processes the scheduled message and
has access to the cron tool. If the original message resembles a
scheduling instruction (e.g. "remind me in 10 seconds"), the agent
would call cron.add again, creating an infinite feedback loop.
Add a cron-context flag to CronTool that blocks add operations during
cron job execution. The flag is set before process_direct() and cleared
in a finally block to ensure cleanup even on errors.
Fixes#1441
- Add --workspace/-w flag to specify workspace directory
- Add --config/-c flag to specify config file path
- Move cron store to workspace directory for per-instance isolation
- Enable running multiple nanobot instances simultaneously
- Add handler for SIGTERM to prevent "Terminated" message on Linux
- Add handler for SIGHUP for terminal closure handling
- Ignore SIGPIPE to prevent silent process termination
- Change os._exit(0) to sys.exit(0) for proper cleanup
Fixes issue #1365
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Improve cron job execution context to ensure proper message delivery and
session history recording.
Changes:
- Add [绯荤粺瀹氭椂浠诲姟] prefix to cron reminder messages to clearly mark
them as system-driven, not user queries
- Use user role for cron reminder messages (required by some LLM APIs)
- Properly handle MessageTool to avoid duplicate message delivery
- Correctly save turn history with proper skip count
- Ensure Runtime Context is included in the message list
This ensures that:
1. Cron jobs execute with proper context
2. Messages are correctly delivered to users
3. Session history accurately records cron job interactions
4. The LLM understands these are system-driven reminders, not user queries
- Remove trailing whitespace and normalize blank lines
- Unify string quotes and line breaks for long lines
- Sort imports alphabetically across modules
