Commit Graph

14 Commits

Author SHA1 Message Date
teknium1
210d5ade1e feat(tools): centralize tool emoji metadata in registry + skin integration
- Add 'emoji' field to ToolEntry and 'get_emoji()' to ToolRegistry
- Add emoji= to all 50+ registry.register() calls across tool files
- Add get_tool_emoji() helper in agent/display.py with 3-tier resolution:
  skin override → registry default → hardcoded fallback
- Replace hardcoded emoji maps in run_agent.py, delegate_tool.py, and
  gateway/run.py with centralized get_tool_emoji() calls
- Add 'tool_emojis' field to SkinConfig so skins can override per-tool
  emojis (e.g. ares skin could use swords instead of wrenches)
- Add 11 tests (5 registry emoji, 6 display/skin integration)
- Update AGENTS.md skin docs table

Based on the approach from PR #1061 by ForgingAlex (emoji centralization
in registry). This salvage fixes several issues from the original:
- Does NOT split the cronjob tool (which would crash on missing schemas)
- Does NOT change image_generate toolset/requires_env/is_async
- Does NOT delete existing tests
- Completes the centralization (gateway/run.py was missed)
- Hooks into the skin system for full customizability
2026-03-15 20:21:21 -07:00
Teknium
0a88b133c2 Merge branch 'main' into fix/packaging-bugs 2026-03-13 03:15:45 -07:00
teknium1
47e49da77c feat: make tinker-atropos RL training fully optional
The tinker-atropos submodule and its heavy dependencies (atroposlib, tinker,
wandb, fastapi, uvicorn) were being installed for all users by default,
adding significant install time and disk usage for most users who don't
need RL training capabilities.

Changes:
- install.sh: Only init mini-swe-agent submodule by default; skip
  tinker-atropos clone and install entirely
- install.sh: Remove --recurse-submodules from git clone (only fetches
  what's needed)
- pyproject.toml: Add [rl] optional dependency group for explicit opt-in
- rl_training_tool.py: Move LOGS_DIR.mkdir() from module-level to lazy
  init (_ensure_logs_dir) to avoid side effects on import
- README.md: Update contributor quick start to not auto-fetch
  tinker-atropos; add RL opt-in instructions

Users who want RL training can opt in with:
  git submodule update --init tinker-atropos
  uv pip install -e ./tinker-atropos
2026-03-12 09:11:44 -07:00
balyan.sid@gmail.com
1d4a23fa6c fix: add missing packages to setuptools config for non-editable installs
- Add `agent`, `tools.*`, `gateway.*` to packages.find include
- Add `hermes_state`, `hermes_time`, `mini_swe_runner`, `rl_cli`, `utils` to py-modules
- Move rl_training_tool LOGS_DIR to ~/.hermes/logs/rl_training/ (was writing
  into the package source tree, which fails on read-only installs)

These were masked in development (editable installs see the whole source tree)
but broke any non-editable install like `pip install .` or wheel builds.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 17:07:29 +05:30
teknium1
03a4f184e6 fix: call _stop_training_run on early-return failure paths
The 4 early-return paths in _spawn_training_run (API exit, trainer
exit, env not found, env exit) were doing manual process.terminate()
or returning without cleanup, leaking open log file handles. Now all
paths call _stop_training_run() which handles both process termination
and file handle closure.

Also adds 12 tests for _stop_training_run covering file handle
cleanup, process termination, status transitions, and edge cases.

Inspired by PR #715 (0xbyt4) which identified the early-return issue.
Core file handle fix was already on main via e28dc13 (memosr.eth).
2026-03-10 17:09:51 -07:00
memosr.eth
e28dc13cd5 fix: store and close log file handles in rl_training_tool 2026-03-08 22:38:02 +03:00
tars90percent
32636ecf8a Update MiniMax model ID from m2.1 to m2.5 2026-03-06 16:47:48 +08:00
teknium1
08ff1c1aa8 More major refactor/tech debt removal! 2026-02-21 20:22:33 -08:00
teknium
ac79725923 Update dependencies and enhance installation scripts
- Added `prompt_toolkit` as a direct dependency for interactive CLI support.
- Updated `modal` optional dependency to require `swe-rex[modal]>=1.4.0` for improved cloud execution capabilities.
- Enhanced `messaging` optional dependencies to include `aiohttp>=3.9.0` for WhatsApp bridge communication.
- Refined installation scripts to check for Python version requirements, emphasizing the need for Python 3.11+ for RL training tools.
- Improved setup scripts to ensure proper installation of submodules and dependencies, enhancing user experience during setup.
2026-02-07 00:05:04 +00:00
teknium1
5c3105b437 Enhance RL test inference with WandB integration and real-time output streaming
- Added unique run ID generation for WandB tracking during test inference.
- Enabled WandB usage for test tracking and updated command-line arguments accordingly.
- Implemented real-time output streaming for process execution, improving log visibility and debugging.
- Enhanced error handling to display last few lines of stderr for better troubleshooting.
2026-02-04 21:07:07 -08:00
teknium1
3c0d0dba49 Update RL tools and enhance configuration management
- Modified `model_tools.py` to update default model IDs and add new RL function `rl_test_inference`.
- Enhanced `README.md` with installation instructions for submodules and updated API key usage.
- Improved `rl_cli.py` to load configuration from `~/.hermes/config.yaml` and set terminal working directory for RL tools.
- Updated `run_agent.py` to handle empty string arguments as empty objects for better JSON validation.
- Refined installation scripts to ensure submodules are cloned and installed correctly, enhancing setup experience.
2026-02-04 13:57:59 -08:00
teknium1
12bbca95ec Add tinker-atropos submodule and update RL training tools
- Added the tinker-atropos submodule for enhanced RL training capabilities.
- Updated model_tools.py to reorder RL function definitions and improve descriptions.
- Modified rl_cli.py to include checks for the tinker-atropos setup and provide user guidance.
- Adjusted toolsets.py and __init__.py to reflect changes in RL function availability.
- Enhanced rl_training_tool.py to manage training processes directly without a separate API server.
2026-02-04 10:36:01 -08:00
teknium1
f6574978de Add RL training configuration and tools
- Updated `.env.example` to include Tinker and WandB API keys for reinforcement learning training.
- Enhanced `model_tools.py` to clarify configuration options and streamline the RL training process.
- Expanded `README.md` with detailed instructions for setting up RL training using Tinker and WandB.
- Modified `hermes_cli` files to integrate RL training tools and ensure proper configuration checks.
- Improved `rl_training_tool.py` to reflect changes in training parameters and configuration management.
2026-02-04 09:36:51 -08:00
teknium1
f018999da9 initial RL training tools and loop 2026-02-03 23:41:26 -08:00