- AgentResult now includes tool-call metrics: attempted, schema_valid,
executed_ok, exec_error
- HermesAgentLoop normalizes args robustly without crashing, but
distinguishes schema-valid args (dict) from coerced formats
(stringified JSON, plain strings)
- SweSmithOracleEnv reward shaping now prefers schema-valid tool calls
while still giving small credit for attempted tool use
agent_loop.py:
- Add _truncate_context() with 2-phase strategy (truncate tool results,
then drop oldest middle messages while keeping assistant+tool pairs)
- Add max_context_tokens parameter
- Guard against double-encoded JSON tool arguments (model outputs
string instead of dict)
hermes_base_env.py:
- Wire max_context_tokens=max_token_length through all 3 HermesAgentLoop
construction sites
hermes_parser.py:
- Prevent double-encoding: when arguments are already a string, use as-is
instead of json.dumps() which would double-encode
swe_smith_oracle_env.py:
- Shaped reward structure for cold-start training:
0.0 (no tools) -> 0.05/call up to 0.3 -> 0.4 (install ok) -> 1.0 (tests pass)
- _build_scored_item() override: truncate tokens/masks from END to fit
max_token_len instead of discarding entire groups
All changes are in environments/ only — no effect on TUI/CLI agent loop.
New: environments/swe_smith_oracle_env.py
- Subclasses HermesAgentBaseEnv (proper tools= parameter, multi-model parsers)
- Uses ToolContext.terminal() for pytest verification
- Supports tool_pool_mode flag for sandbox backends
- Reads ATROPOS_SERVER_* env vars from .env
- No dependency on atropos/agent/ or atropos/envs/agent_env.py
- environments/gsm8k_agent_env.py: Math reasoning with Python REPL tool
- Subclasses HermesAgentBaseEnv (proper tools= parameter, not ICL)
- Uses ATROPOS_SERVER_* env vars from .env
- Hermes tool call parser, configurable per model
- Math verification via math_verify with string fallback
- Tested: process mode works, both trajectories scored 1.0
- Updated memory bank with consolidation plan:
- environments/ is the canonical env system (proper tool calling)
- atropos/backends/ kept as sandbox infrastructure
- atropos/agent/ and atropos/envs/agent_env.py marked for removal
- Added imports for resource cleanup during safe shutdown, including terminal and browser session cleanup.
- Refactored command handling to preserve original case for model names and prompt text, improving user experience.
- Introduced a dedicated interrupt queue to manage user input while the agent is running, preventing race conditions.
- Updated comments and documentation for clarity on command processing and input handling.
- Changed the default LLM model in the setup wizard and example environment file to 'anthropic/claude-opus-4.6'.
- Updated terminal working directory settings in CLI and related files to use the current directory ('.') instead of '/tmp'.
- Enhanced documentation comments for clarity on terminal configuration and working directory behavior.
- Updated `ALL_POSSIBLE_TOOLS` to auto-derive from `TOOL_TO_TOOLSET_MAP` for consistent schema.
- Introduced `_extract_reasoning_stats` function to track reasoning coverage in assistant turns.
- Enhanced `_process_batch_worker` to discard prompts with no reasoning and aggregate reasoning statistics.
- Updated documentation and comments for clarity on new features and changes.
- Added `max_tokens`, `reasoning_config`, and `prefill_messages` parameters to `BatchRunner` and `AIAgent` for improved model response control.
- Updated CLI to support new options for reasoning effort and prefill messages from a JSON file.
- Modified example configuration files to reflect changes in default model and summary model.
- Improved error handling for loading prefill messages and reasoning configurations in the CLI.
- Updated documentation to include new parameters and usage examples.
- Updated `.gitignore` to exclude `testlogs` directory.
- Refactored `handle_web_function_call` in `model_tools.py` to support running async functions in existing event loops, improving compatibility with Atropos.
- Introduced a thread pool executor in `agent_loop.py` for running synchronous tool calls that internally use `asyncio.run()`, preventing deadlocks.
- Added `ToolError` class to track tool execution errors, enhancing error reporting during agent loops.
- Updated `wandb_log` method in `hermes_base_env.py` to log tool error statistics for better monitoring.
- Implemented patches in `patches.py` to ensure async-safe operation of tools within Atropos's event loop.
- Enhanced `ToolContext` and `terminal_tool.py` to utilize the new async handling, improving overall tool execution reliability.
- Integrated `uv` as a fast Python package manager for automatic Python provisioning and dependency management.
- Updated installation scripts (`setup-hermes.sh`, `install.sh`, `install.ps1`) to utilize `uv` for installing Python and packages, streamlining the setup process.
- Revised `README.md` to reflect changes in installation steps, including symlinking `hermes` for global access and clarifying Python version requirements.
- Adjusted commands in `doctor.py` and other scripts to recommend `uv` for package installations, ensuring consistency across the project.
- Reorganized the 'all' dependencies to include specific optional groups for better modularity.
- Added support for 'hermes-agent' with distinct categories: modal, messaging, cron, cli, and dev.
- Added new environments for reinforcement learning, including `HermesSweEnv` for software engineering tasks and `TerminalTestEnv` for inline testing.
- Introduced `ToolContext` for unrestricted access to tools during reward computation.
- Updated `.gitignore` to exclude `wandb/` directory.
- Enhanced `README.md` with detailed architecture and usage instructions for Atropos environments.
- Added configuration files for SWE and terminal test environments to streamline setup.
- Removed unnecessary compiled Python files from `__pycache__`.
- 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.
- Introduced file manipulation capabilities in `model_tools.py`, including functions for reading, writing, patching, and searching files.
- Added a new `file` toolset in `toolsets.py` and updated distributions to include file tools.
- Enhanced `setup-hermes.sh` and `install.sh` scripts to check for and optionally install `ripgrep` for faster file searching.
- Implemented a new `file_operations.py` module to encapsulate file operations using shell commands.
- Updated `doctor.py` and `install.ps1` to check for `ripgrep` and provide installation guidance if not found.
- Added fuzzy matching and patch parsing capabilities to improve file manipulation accuracy and flexibility.
- 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.
- 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.
