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chore: remove Atropos RL environments and tinker-atropos integration (#26106)
* chore: remove Atropos RL environments, tools, tests, skill, and tinker-atropos submodule Delete: - environments/ (43 files — base env, agent loop, tool call parsers, benchmarks) - rl_cli.py (standalone RL training CLI) - tools/rl_training_tool.py (all 10 rl_* tools) - tests: test_rl_training_tool, test_tool_call_parsers, test_managed_server_tool_support, test_agent_loop, test_agent_loop_vllm, test_agent_loop_tool_calling, test_terminalbench2_env_security - optional-skills/mlops/hermes-atropos-environments/ - tinker-atropos git submodule + .gitmodules * chore: remove RL/Atropos references from Python source - toolsets.py: remove rl toolset block + update comment - model_tools.py: remove rl_tools group + update async bridging comment - hermes_cli/tools_config.py: remove RL display entry, _DEFAULT_OFF_TOOLSETS, setup block, and rl_training post-setup handler - tools/budget_config.py: remove RL environment reference in docstring - tests/test_model_tools.py: remove rl_tools from expected groups - tests/run_agent/test_streaming_tool_call_repair.py: fix stale cross-reference * chore: remove rl/yc-bench extras and tinker-atropos refs from pyproject.toml - Remove rl extra (atroposlib, tinker, fastapi, uvicorn, wandb) - Remove yc-bench extra - Remove rl_cli from py-modules - Remove [tool.ty.src] exclude for tinker-atropos - Remove [tool.ruff] exclude for tinker-atropos - Regenerate uv.lock * chore: remove tinker-atropos from install/setup scripts - setup-hermes.sh: remove entire tinker-atropos submodule install block - scripts/install.sh: remove both tinker-atropos blocks (Termux + standard) - scripts/install.ps1: remove tinker-atropos block - nix/hermes-agent.nix: remove tinker-atropos pip install line * chore: remove RL references from cli-config.yaml.example * docs: remove Atropos/RL references from README, CONTRIBUTING, AGENTS.md * docs: remove RL/Atropos references from website - Delete: environments.md, rl-training.md, mlops-hermes-atropos-environments.md - sidebars.ts: remove rl-training and environments sidebar entries - optional-skills-catalog.md: remove hermes-atropos-environments row - tools-reference.md: remove entire rl toolset section - toolsets-reference.md: remove rl row + update example - integrations/index.md: remove RL Training bullet - architecture.md: remove environments/ from tree + RL section - contributing.md: remove tinker-atropos setup - updating.md: remove tinker-atropos install + stale submodule update * chore: remove remaining RL/Atropos stragglers - hermes_cli/config.py: remove TINKER_API_KEY + WANDB_API_KEY env var defs - hermes_cli/doctor.py: remove Submodules check section (tinker-atropos) - hermes_cli/setup.py: remove RL Training status check - hermes_cli/status.py: remove Tinker + WandB from API key status display - agent/display.py: remove both rl_* tool preview/activity blocks - website/docs: remove RL references from providers.md + env-variables.md - tests: remove TINKER_API_KEY from conftest, set_config_value, setup_script * chore: remove RL training section from .env.example
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@ -148,8 +148,6 @@ For native Anthropic auth, Hermes prefers Claude Code's own credential files whe
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| `HONCHO_BASE_URL` | Base URL for self-hosted Honcho instances (default: Honcho cloud). No API key required for local instances |
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| `HINDSIGHT_TIMEOUT` | Timeout in seconds for Hindsight memory-provider API calls (default: `60`). Bump this if your Hindsight instance is slow to respond during `/sync` or `on_session_switch` and you're seeing timeouts in `errors.log`. |
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| `SUPERMEMORY_API_KEY` | Semantic long-term memory with profile recall and session ingest ([supermemory.ai](https://supermemory.ai)) |
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| `TINKER_API_KEY` | RL training ([tinker-console.thinkingmachines.ai](https://tinker-console.thinkingmachines.ai/)) |
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| `WANDB_API_KEY` | RL training metrics ([wandb.ai](https://wandb.ai/)) |
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| `DAYTONA_API_KEY` | Daytona cloud sandboxes ([daytona.io](https://daytona.io/)) |
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| `VERCEL_TOKEN` | Vercel Sandbox access token ([vercel.com](https://vercel.com/)) |
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| `VERCEL_PROJECT_ID` | Vercel project ID (required with `VERCEL_TOKEN`) |
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@ -120,7 +120,6 @@ hermes skills uninstall <skill-name>
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| [**faiss**](/docs/user-guide/skills/optional/mlops/mlops-faiss) | Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or whe... |
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| [**optimizing-attention-flash**](/docs/user-guide/skills/optional/mlops/mlops-flash-attention) | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster in... |
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| [**guidance**](/docs/user-guide/skills/optional/mlops/mlops-guidance) | Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework |
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| [**hermes-atropos-environments**](/docs/user-guide/skills/optional/mlops/mlops-hermes-atropos-environments) | Build, test, and debug Hermes Agent RL environments for Atropos training. Covers the HermesAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/eva... |
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| [**huggingface-tokenizers**](/docs/user-guide/skills/optional/mlops/mlops-huggingface-tokenizers) | Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integ... |
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| [**instructor**](/docs/user-guide/skills/optional/mlops/mlops-instructor) | Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library |
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| [**lambda-labs-gpu-cloud**](/docs/user-guide/skills/optional/mlops/mlops-lambda-labs) | Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training. |
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@ -148,21 +148,6 @@ Registered only when the agent is spawned by the kanban dispatcher (`HERMES_KANB
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|------|-------------|----------------------|
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| `mixture_of_agents` | Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced alg… | OPENROUTER_API_KEY |
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## `rl` toolset
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| Tool | Description | Requires environment |
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|------|-------------|----------------------|
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| `rl_check_status` | Get status and metrics for a training run. RATE LIMITED: enforces 30-minute minimum between checks for the same run. Returns WandB metrics: step, state, reward_mean, loss, percent_correct. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_edit_config` | Update a configuration field. Use rl_get_current_config() first to see all available fields for the selected environment. Each environment has different configurable options. Infrastructure settings (tokenizer, URLs, lora_rank, learning_ra… | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_get_current_config` | Get the current environment configuration. Returns only fields that can be modified: group_size, max_token_length, total_steps, steps_per_eval, use_wandb, wandb_name, max_num_workers. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_get_results` | Get final results and metrics for a completed training run. Returns final metrics and path to trained weights. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_list_environments` | List all available RL environments. Returns environment names, paths, and descriptions. TIP: Read the file_path with file tools to understand how each environment works (verifiers, data loading, rewards). | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_list_runs` | List all training runs (active and completed) with their status. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_select_environment` | Select an RL environment for training. Loads the environment's default configuration. After selecting, use rl_get_current_config() to see settings and rl_edit_config() to modify them. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_start_training` | Start a new RL training run with the current environment and config. Most training parameters (lora_rank, learning_rate, etc.) are fixed. Use rl_edit_config() to set group_size, batch_size, wandb_project before starting. WARNING: Training… | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_stop_training` | Stop a running training job. Use if metrics look bad, training is stagnant, or you want to try different settings. | TINKER_API_KEY, WANDB_API_KEY |
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| `rl_test_inference` | Quick inference test for any environment. Runs a few steps of inference + scoring using OpenRouter. Default: 3 steps x 16 completions = 48 rollouts per model, testing 3 models = 144 total. Tests environment loading, prompt construction, in… | TINKER_API_KEY, WANDB_API_KEY |
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## `session_search` toolset
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| Tool | Description | Requires environment |
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@ -45,7 +45,7 @@ Or in-session:
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```
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/tools list
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/tools disable browser
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/tools enable rl
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/tools enable homeassistant
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```
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## Core Toolsets
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@ -71,7 +71,6 @@ Or in-session:
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| `memory` | `memory` | Persistent cross-session memory management. |
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| `messaging` | `send_message` | Send messages to other platforms (Telegram, Discord, etc.) from within a session. |
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| `moa` | `mixture_of_agents` | Multi-model consensus via Mixture of Agents. |
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| `rl` | `rl_check_status`, `rl_edit_config`, `rl_get_current_config`, `rl_get_results`, `rl_list_environments`, `rl_list_runs`, `rl_select_environment`, `rl_start_training`, `rl_stop_training`, `rl_test_inference` | RL training environment management (Atropos). |
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| `safe` | `image_generate`, `vision_analyze`, `web_extract`, `web_search` (via `includes`) | Read-only research + media generation. No file writes, no terminal, no code execution. |
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| `search` | `web_search` | Web search only (without extract). |
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| `session_search` | `session_search` | Search past conversation sessions. |
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