Fix skeptic LLM: add User-Agent header to bypass Cloudflare WAF (was getting 403 error code 1010)

Fix demo_pagerduty: default to Groq Llama (was OpenAI gpt-4o-mini), show cross-platform shell hints

Quick Reproduction: add Windows PowerShell + cmd.exe variants alongside bash

Clean up: add .gitignore, remove __pycache__ tracking, remove test artifacts

Updated pagerduty_importer.py

Add live Slack bot demo + YouTube video + BLOG section on production deployment

Add live Slack bot demo + YouTube video + BLOG section on production deployment

Add LICENSE, Datadog + Splunk importers, Quick Reproduction section in README

Final polish: fix WORKERS default in README

Final polish: consistent baseline numbers (0.857), update BLOG title (drop 3AM), add V1+V2 loss curves to BLOG, fix README baseline chart

Update baseline numbers: medium=0.970 (was 0.985), avg=0.857 (was 0.861) - reflects latest live HF run

README: fix tools/samples 404 in submission table, standardize all artifact URLs to GitHub, Blog

Fix README URLs (tools/samples folders, env/models.py path, Colab links) + remove credits mention from BLOG

Rewrite BLOG

Add comprehensive URL/links section - all judge-accessible URLs

Update README + BLOG: two-stage training, multi-agent, PagerDuty integration

Pitch deck v3 - multi-agent + PagerDuty slides + two-stage training

V2 training results - multi-agent coverage (+1.9%)

Phase 3: PagerDuty integration - importer, demo, sample incidents with real-world format

Phase 1b: Multi-agent inference script - primary + skeptic + revise flow

Phase 1: Multi-agent extension - REQUEST_REVIEW + REVISE_SECTION + skeptic agent

Resolve merge conflict: keep updated README with embedded charts

Add pitch deck (LFS) and embed charts in README

Update README for Round 2 — Theme #3.1 positioning + training results

Update README for Round 2 — Theme #3.1 positioning + training results

Add Round 2 blog post with training results

Add Round 2 training artifacts: reward charts and results JSON

Add Round 2 blog post with training results

Add Round 2 training artifacts: reward charts and results JSON

Update baseline scores to match live Space output

FINAL: stdout format + README updated + expert scenario + all fixes

Add expert scenario - security breach, 4-level difficulty, updated README and openenv.yaml

Fix: upgrade openai>=2.7.2 compatible with openenv-core

Fix pre-submission validator - pyproject, uv.lock, main(), openenv-core

Add pyproject.toml and demo.py — fix pre-submission validation

README: add Why This Is Challenging section + determinism note

Fix: WORKERS=1 to prevent shared state across workers

README - add Key Innovations, determinism note, baseline explanation

Fix README - add HuggingFace metadata header

final - README + grader fixes + service_match bug fix

Remove venv from tracking, add gitignore

Initial deployment — Incident Post-Mortem Writer OpenEnv

initial commit