Xi Zhang
f41584e10b
* Refactor sub-agent architecture and introduce async support - Removed the legacy subagent.yaml file and replaced it with individual YAML files for each sub-agent in the subagents directory. - Updated the load_subagents function to support both directory and single file layouts for loading sub-agent configurations. - Added new langgraph_dev module for managing async sub-agent lifecycle and deployment. - Created graphs for async sub-agents (writing-agent, data-analysis-agent) and updated langgraph.json for deployment. - Introduced new sub-agent definitions for planner, research, debug, code, and writing agents with appropriate system prompts and configurations. - Enhanced package data inclusion in pyproject.toml to accommodate new sub-agent YAML files. * Refactor code for improved readability by consolidating conditional statements and formatting * feat: enhance async sub-agent support with workspace synchronization and user feedback - Added console status messages during async sub-agent server startup and workspace synchronization to improve user experience. - Implemented a new WorkspaceSyncWidget for live feedback during workspace sync operations. - Updated onboarding to reject occupied ports and ensure proper workspace handling for async sub-agents. - Introduced locking mechanisms to manage concurrent access to langgraph dev processes and workspace states. * feat: add async sub-agent configuration and server management functions * feat: improve port occupation handling and log file management in start_langgraph_dev * feat: enhance async sub-agent handling and introduce comprehensive tests - Updated `_maybe_swap_async_subagents` to improve async sub-agent management, ensuring internal flags are stripped before handoff. - Enhanced port management in `onboard.py` to allow reuse of occupied ports if already running by the same service. - Introduced file locking in `manager.py` to prevent race conditions during concurrent CLI invocations. - Added new tests for async sub-agent swapping and langgraph manager functionalities to ensure reliability and correctness. - Updated dependencies in `pyproject.toml` to include `psutil` and `filelock`. * fix(docs): clarify sub-agent configuration in README * test(manager): isolate _PID_DIR + tighten reuse-path assertion Addresses CodeRabbit review on tests/test_langgraph_manager.py: - Patch _PID_DIR to tmp_path so the FileLock setup in ensure_langgraph_dev doesn't mkdir the user's real ~/.config/evoscientist/ dir as a test side-effect. - Tighten "result is None or hasattr(result, 'poll')" to a strict "result is None" — the reuse path returns None unconditionally, so the OR clause was hiding potential regressions. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(manager): clean up stale PID file when unrelated process reuses PID * feat(tests): add validation tests for async flag in load_subagents * fix(load_subagents): restrict to .yaml files and clarify configuration handling * fix(load_subagents): improve error handling for non-dict specifications in YAML * feat(onboard): add "LangGraph Port" step to onboarding process * feat(langgraph): add concurrency configuration for langgraph dev workers * feat(async-subagents): enhance MCP tool routing for async sub-agents * fix(manager): update exception handling for connection errors and prevent zombie processes --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
26 lines
1.2 KiB
YAML
26 lines
1.2 KiB
YAML
data-analysis-agent:
|
|
description: "Analyze experiment outputs: compute metrics, make plots, summarize insights."
|
|
tools: [think_tool]
|
|
skills: ["/skills/"]
|
|
# Long-running (typically 30-120s for compute + plots). Routed through
|
|
# langgraph dev as an AsyncSubAgent when config.enable_async_subagents is set.
|
|
# Deployment graph: EvoScientist.langgraph_dev.graphs:data_analysis_agent
|
|
async: true
|
|
system_prompt: |
|
|
You are the data-analysis-agent. Analyze experiment outputs, compute metrics, and create
|
|
publication-friendly plots.
|
|
|
|
Guidelines:
|
|
- Do not invent numbers; compute from files or state what is missing.
|
|
- Save figures/tables under /artifacts/ (recommended) and reference paths.
|
|
- Summarize insights and provide 1-3 recommended next experiments.
|
|
- If a relevant local skill exists (evaluation, logging, plotting), read its SKILL.md and follow it.
|
|
- Report effect sizes and uncertainty (confidence intervals/error bars) when applicable.
|
|
- Apply multiple-testing corrections when comparing many conditions.
|
|
- Distinguish exploratory vs confirmatory findings.
|
|
|
|
When responding, include:
|
|
- Metrics computed (with definitions)
|
|
- Figures/tables produced (paths)
|
|
- Interpretation and next steps
|