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feat(tools): centralize tool emoji metadata in registry + skin integration

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- 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
This commit is contained in:
teknium1 2026-03-15 20:21:21 -07:00
parent a56937735e
commit 210d5ade1e
30 changed files with 268 additions and 81 deletions
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20
tools/rl_training_tool.py
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@ -1374,24 +1374,24 @@ RL_TEST_INFERENCE_SCHEMA = {"name": "rl_test_inference", "description": "Quick i
_rl_env = ["TINKER_API_KEY", "WANDB_API_KEY"]
registry.register(name="rl_list_environments", toolset="rl", schema=RL_LIST_ENVIRONMENTS_SCHEMA,
registry.register(name="rl_list_environments", emoji="🧪", toolset="rl", schema=RL_LIST_ENVIRONMENTS_SCHEMA,
handler=lambda args, **kw: rl_list_environments(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_select_environment", toolset="rl", schema=RL_SELECT_ENVIRONMENT_SCHEMA,
registry.register(name="rl_select_environment", emoji="🧪", toolset="rl", schema=RL_SELECT_ENVIRONMENT_SCHEMA,
handler=lambda args, **kw: rl_select_environment(name=args.get("name", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_get_current_config", toolset="rl", schema=RL_GET_CURRENT_CONFIG_SCHEMA,
registry.register(name="rl_get_current_config", emoji="🧪", toolset="rl", schema=RL_GET_CURRENT_CONFIG_SCHEMA,
handler=lambda args, **kw: rl_get_current_config(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_edit_config", toolset="rl", schema=RL_EDIT_CONFIG_SCHEMA,
registry.register(name="rl_edit_config", emoji="🧪", toolset="rl", schema=RL_EDIT_CONFIG_SCHEMA,
handler=lambda args, **kw: rl_edit_config(field=args.get("field", ""), value=args.get("value")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_start_training", toolset="rl", schema=RL_START_TRAINING_SCHEMA,
registry.register(name="rl_start_training", emoji="🧪", toolset="rl", schema=RL_START_TRAINING_SCHEMA,
handler=lambda args, **kw: rl_start_training(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_check_status", toolset="rl", schema=RL_CHECK_STATUS_SCHEMA,
registry.register(name="rl_check_status", emoji="🧪", toolset="rl", schema=RL_CHECK_STATUS_SCHEMA,
handler=lambda args, **kw: rl_check_status(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_stop_training", toolset="rl", schema=RL_STOP_TRAINING_SCHEMA,
registry.register(name="rl_stop_training", emoji="🧪", toolset="rl", schema=RL_STOP_TRAINING_SCHEMA,
handler=lambda args, **kw: rl_stop_training(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_get_results", toolset="rl", schema=RL_GET_RESULTS_SCHEMA,
registry.register(name="rl_get_results", emoji="🧪", toolset="rl", schema=RL_GET_RESULTS_SCHEMA,
handler=lambda args, **kw: rl_get_results(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_list_runs", toolset="rl", schema=RL_LIST_RUNS_SCHEMA,
registry.register(name="rl_list_runs", emoji="🧪", toolset="rl", schema=RL_LIST_RUNS_SCHEMA,
handler=lambda args, **kw: rl_list_runs(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
registry.register(name="rl_test_inference", toolset="rl", schema=RL_TEST_INFERENCE_SCHEMA,
registry.register(name="rl_test_inference", emoji="🧪", toolset="rl", schema=RL_TEST_INFERENCE_SCHEMA,
handler=lambda args, **kw: rl_test_inference(num_steps=args.get("num_steps", 3), group_size=args.get("group_size", 16), models=args.get("models")),
check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)