chengyongru d1a94dae8a
refactor(dream): replace two-phase Dream class with simple cron + process_direct (#3990)
* refactor(dream): replace two-phase Dream class with simple cron + process_direct

- Remove the heavyweight Dream class (AgentRunner-based two-phase system)
  from nanobot/agent/memory.py
- Delete dream_phase1.md and dream_phase2.md templates
- New dream.md template serves as the consolidation prompt
- Cron callback uses agent.process_direct(prompt, session_key=\"dream\")
  instead of agent.dream.run()
- Always performs git auto_commit after execution
- /dream command updated to use process_direct + git commit
- DreamConfig kept for backward compatibility; deprecated fields
  (model_override, max_batch_size, max_iterations, annotate_line_ages)
  are ignored but accepted in config
- interval_h remains configurable via agents.defaults.dream.interval_h
- Update tests and webui settings to match new architecture

* feat(loop): add ephemeral mode to process_direct, skip history writes for Dream

When ephemeral=True, _state_save skips enforce_file_cap (which calls
raw_archive -> append_history) and consolidator.maybe_consolidate_by_tokens.
This prevents Dream sessions from creating a positive feedback loop where
they process their own output. The session IS still saved to disk.

* fix(loop): skip extra hooks for ephemeral sessions (Dream)

* feat(dream): per-run timestamped sessions with rotation for WebUI

* test(config): restore DreamConfig schedule and alias tests

* fix(dream): include LLM response summary in git auto-commit message

The old two-phase Dream class included the Phase 1 analysis in the git
commit message body. The new single-phase version lost this. Restore it
by extracting resp.content from the process_direct return value and
appending it to the commit message in both the cron handler and the
/dream command.

* fix(test): accept ephemeral kwarg in test_openai_api fake_process

* refactor(dream): merge dream_session.py into MemoryStore

The standalone dream_session.py module only contained three small helpers
that all revolve around MemoryStore concerns (session keys, commit messages,
file pruning). Fold them into MemoryStore as @staticmethod to reduce
indirection and avoid a 35-line module with no independent reason to exist.

* fix(test): address code review — patch correct instance, use actual function

- Fix test_ephemeral_skips_raw_archive to patch loop.context.memory
  instead of the fixture's separate MemoryStore instance
- Fix TestDreamCommitMessage to call MemoryStore.build_dream_commit_message
  instead of reimplementing the logic inline
- Move Dream helpers in memory.py above the Consolidator section comment
  to avoid misleading visual boundary

* fix(dream): gate cursor advancement and restrict tools

maintainer edit: Dream now processes backlog from the oldest unprocessed entries, only advances the cursor after a completed ephemeral run, and uses a restricted file-only tool registry for background consolidation.

* fix(dream): skip idle compact for dream sessions

Dream runs use internal dream:* sessions that are pruned by Dream retention. Exclude them from AutoCompact scheduling, archive execution, and summary injection so idle-session compaction cannot truncate Dream transcripts.

* fix(dream): keep batched history isolated

* feat(dream): tag archived memory for single-phase Dream

---------

Co-authored-by: Xubin Ren <52506698+Re-bin@users.noreply.github.com>
2026-06-02 22:46:47 +08:00
..
2026-06-02 14:10:10 +08:00

nanobot Docs

For the latest documentation, visit nanobot.wiki.

The pages in this directory track the current repository and may move faster than the published website.

Core Docs

Start here for setup, everyday usage, and deployment.

Topic Repo docs What it covers
Install and quick start quick-start.md Installation, onboarding, and first-run setup
Chat apps chat-apps.md Connect nanobot to Telegram, Discord, WeChat, and more
Agent social network agent-social-network.md Join external agent communities from nanobot
Configuration configuration.md Providers, tools, channels, MCP, and runtime settings
Image generation image-generation.md Configure image providers, WebUI image mode, and generated artifacts
WebUI ../webui/README.md Open the bundled browser UI; LAN access; Vite dev server for contributors
Multiple instances multiple-instances.md Run isolated bots with separate configs and workspaces
CLI reference cli-reference.md Core CLI commands and common entrypoints
In-chat commands chat-commands.md Slash commands and periodic task behavior
OpenAI-compatible API openai-api.md Local API endpoints, request format, and file uploads
Deployment deployment.md Docker, Linux service, and macOS LaunchAgent setup

Advanced Docs

Use these when you want deeper customization, integration, or extension details.

Topic Repo docs What it covers
Memory memory.md How nanobot stores, consolidates, and restores memory
Python SDK python-sdk.md Use nanobot programmatically from Python
Channel plugin guide channel-plugin-guide.md Build and test custom chat channel plugins
WebSocket channel websocket.md Real-time WebSocket access and protocol details
Custom tools my-tool.md Inspect and tune runtime state with the my tool