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chore: remove Atropos RL environments and tinker-atropos integration (#26106)

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* 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
This commit is contained in:
Siddharth Balyan 2026-05-15 10:36:38 +05:30 • committed by GitHub
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website/docs/reference/optional-skills-catalog.md
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@ -120,7 +120,6 @@ hermes skills uninstall <skill-name>
| [**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... |
| [**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... |
| [**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 |
| [**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... |
| [**huggingface-tokenizers**](/docs/user-guide/skills/optional/mlops/mlops-huggingface-tokenizers) | Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in &lt;20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integ... |
| [**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 |
| [**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. |