Multi-agent RL for fusion example#166
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…aining of specialize LLM
… update docs
Bring the icf_4agent example up to date with the latest working version.
Features / fixes:
- Conversational-PI debrief: after a campaign, users can chat with the Principal
Investigator about the results ("why did the best design win?", "how robust is
it to defects?"). Adds a tool-free conversational PI agent, a session-scoped
store of all campaign results, multi-turn memory, and intent-based routing that
separates analysis questions from run requests (app.py).
- Multi-round campaign fix: AutoGen's max_round counts messages, not design
iterations, so campaigns ran only ~1 round. Convert the design-round constants
into a message budget and wire is_termination_msg so the PI's TERMINATE /
yield-convergence actually stops the chat early (app.py).
- Add icf_viz.py (implosion movie + diagnostic time-history plots) and the AMD
logo assets used by the Gradio UI and media mode.
- Update README.md and docs/summary.tex to document the debrief mode and the
four operational modes.
- Add .gitignore to exclude the venv, caches, logs, and generated media.
Note: docs/summary.pdf is NOT regenerated here (no pdflatex available in this
environment); rebuild it from summary.tex before relying on the PDF.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Regenerate the manuscript PDF (via tectonic) so it reflects the documentation updates from the previous commit: the conversational-PI debrief subsection, the four-operational-modes description, and the added conclusions item. The PDF was previously stale relative to summary.tex. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Updated the diagram in the README to reflect changes in the structure.
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Contributes a tutorial example on how to build a multiagent system for fusion capsule design using reduced order models, autogen for agentic swarm communication and orchestration, and MCP serving examples of tooling for the physics calculation.