Commit History

  1. Updated project from new folder (UI + scenarios + features) Running

    Aakarsh2007
    aeae5cb

  1. fix: server:main entry point, create server/app.py, add main() to server.py β€” fixes openenv validate entry point requirements

    Aakarsh2007
    615dbaa
  2. fix: add uv.lock, [project.scripts] entry point, openenv dependency β€” fixes openenv validate multi-mode deployment check

    Aakarsh2007
    7ed70a9
  3. fix: add pyproject.toml β€” required by openenv validate for multi-mode deployment check

    Aakarsh2007
    216c617
  4. fix: POST /reset accepts empty body β€” validator sends null body, now defaults to memory_leak task

    Aakarsh2007
    18b9708
  5. polish: Compare tab now has two API key fields (Model A + optional Model B for cross-provider), Custom tab has clear how-it-works guide

    Aakarsh2007
    c7f0611

  1. polish: remove link table, add Quick Access section with clean links, remove duplicate hook line, fix TL;DR spacing, remove duplicate Why This Matters, add Evaluate in 2 Minutes (No Setup), killer hook line at top

    Aakarsh2007
    04003ed
  2. fix: correct all links β€” UI=huggingface.co/spaces, API=aakarsh2007-inframind.hf.space, explain the two-URL difference, polish top section, fix all curl commands

    Aakarsh2007
    7cf4492
  3. fix: all URLs use huggingface.co/spaces (no broken hf.space subdomains), pretty judge output with summary block, judge reading guide in README, fix inference env vars

    Aakarsh2007
    5cef889
  4. fix: correct HF Space URL (infra-mind→inframind), remove duplicate GET / route, add judge button to UI colosseum tab, leaderboard table, Why This Matters section

    Aakarsh2007
    b1f1c4c
  5. fix: critical compliance fixes β€” API_BASE_URL as LLM endpoint per spec, openenv.yaml name=infra-mind, Dockerfile labels updated, always emit [END]

    Aakarsh2007
    b19a648
  6. docs: winner-level README rewrite β€” TL;DR table, guided flow, category creation, human vs agent, trust section, failure example, 15% shorter, zero redundancy

    Aakarsh2007
    c1989a0
  7. docs: elite README polish β€” TL;DR block, killer hook line, why LLMs struggle, failure example, reproducibility visual, judge safety checklist

    Aakarsh2007
    b7409b9
  8. docs: complete 10/10 README β€” OpenEnv validation proof, 1-min mental model, task success criteria, research angle, zero-to-hero guide, all endpoints, Groq support

    Aakarsh2007
    f652c77
  9. feat(server): /validate OpenEnv proof, /reproducibility seed test, /agent/messages/{run_id}, root GET health check

    Aakarsh2007
    c3813d5
  10. feat(inference): Groq auto-detection β€” MODEL_NAME starting with llama/mixtral/gemma routes to Groq base URL

    Aakarsh2007
    37f3fe0
  11. fix(grader): fake patch protection β€” reject patches < 20 chars with score 0.02, prevents random guessing

    Aakarsh2007
    72308f7
  12. docs: complete README β€” all features documented, Groq support, judge mode, skill breakdown, adversarial agent, butterfly effect, all 20+ endpoints, competitive positioning

    Aakarsh2007
    4c4a62a
  13. build: rebuild UI with Groq support, InfraMind branding, provider selector

    Aakarsh2007
    5bd51ac
  14. feat(ui): Groq support in Live AI, Compare, War Room β€” provider selector, gsk_ key, llama/mixtral/gemma models

    Aakarsh2007
    2a3da3d
  15. feat(server): Groq API support β€” auto-detect Groq models, _build_llm_client helper, compare uses separate clients per model

    Aakarsh2007
    f93c8e9
  16. docs: fix colorFrom blue (no orange for HF), add real HF Space URL aakarsh2007/infraMind, update all demo links

    Aakarsh2007
    9d5257a
  17. fix(ui): rebrand Gravex-Aegis β†’ InfraMind in header logo and navigation

    Aakarsh2007
    44ed3a0
  18. fix(inference): rewrite to exact hackathon format β€” [START] task= env= model=, [STEP] step= action= reward= done= error=, [END] success= steps= score= rewards=

    Aakarsh2007
    1d645df

  1. fix HF metadata color

    Aakarsh2007
    9879283
  2. fix: GET /reset?task_id=&seed= query param support, 18min timeout guard in inference, /judge/run_all GET endpoint

    Aakarsh2007
    9984f90
  3. docs: judge-optimized README β€” quick demo at top, proof-of-fix table, competitive positioning vs SWE-bench/ToolBench, one-liner hook

    Aakarsh2007
    060fca7
  4. feat(server): stunning landing page with one-click judge demo, proof-of-fix panel, competitive positioning, auto-run on load

    Aakarsh2007
    152a887
  5. docs: InfraMind README β€” enterprise level, judge mode docs, skill breakdown, adversarial agent, seeded reproducibility, performance metrics

    Aakarsh2007
    2c1eba0
  6. feat(ui): skill breakdown panel, failure analysis, adversarial hint warning, metric before/after display, InfraMind types

    Aakarsh2007
    894d3b0
  7. test: verify_judge.py β€” judge mode, seeded reproducibility, trace export, skill breakdown, feedback learning

    Aakarsh2007
    486f957
  8. feat(inference): InfraMind branding, INFERENCE_SEED for reproducibility, seeded reset call

    Aakarsh2007
    01ab174
  9. feat(server): InfraMind v5 β€” judge mode /judge/run_all, /export/{run_id} trace, /skills/{run_id}, seeded reset, updated branding

    Aakarsh2007
    5fdcd99
  10. feat(scenarios): seeded variant selection β€” same seed always picks same variant, fully reproducible

    Aakarsh2007
    766dbde
  11. feat(engine): InfraMindEnv β€” seeded reset, judge mode, episode trace export, feedback learning, FeedbackLearner, performance metrics

    Aakarsh2007
    401e6a5
  12. feat(base): seeded RNG, before/after metric scoring, root cause attribution, adversarial agent, failure report, skill breakdown, episode trace

    Aakarsh2007
    11f6834
  13. feat(models): add MetricSnapshot, SkillBreakdown, FailureReport, EpisodeTrace, adversarial_hint, metric_improvement reward

    Aakarsh2007
    14a4b5c
  14. docs: add .env.example β€” API_BASE_URL, MODEL_NAME, HF_TOKEN, OPENAI_API_KEY

    Aakarsh2007
    4756ad9
  15. docs: enterprise README β€” full feature docs, API reference, architecture diagram, baseline scores, badges

    Aakarsh2007
    9cedd75
  16. build: pre-built React UI dist β€” served by FastAPI, no Node.js required in container

    Aakarsh2007
    23f6794
  17. feat(ui): App.tsx β€” 7-tab layout: Colosseum, Live AI, Compare, War Room, Leaderboard, Custom, Replay

    Aakarsh2007
    e68b0c6
  18. feat(ui): Leaderboard β€” global rankings, per-task stats, dynamic difficulty display, medal system

    Aakarsh2007
    e81a8e9
  19. feat(ui): ReplayPanel β€” browse all past runs, post-mortem viewer, butterfly/escalation badges

    Aakarsh2007
    80976a3
  20. feat(ui): CustomScenarioBuilder β€” paste buggy+fixed code, generate playable incident scenario, test patterns

    Aakarsh2007
    2916429
  21. feat(ui): WarRoom β€” multi-agent coordination view, live message feed between coordinator/debugger/coder/reviewer/sre

    Aakarsh2007
    9542312
  22. feat(ui): ComparePanel β€” race two LLMs on same task, side-by-side live feed, winner announcement

    Aakarsh2007
    754ab64
  23. feat(ui): LiveAgentPanel β€” watch AI solve incidents live, SSE streaming, step-by-step reasoning, user API key

    Aakarsh2007
    d3b6b88
  24. feat(ui): RewardPanel β€” score breakdown, grade (S/A/B/C/F), reward bars, post-mortem JSON viewer

    Aakarsh2007
    3716376
  25. feat(ui): ActionPanel with quick commands, WorkspacePanel file browser, AgentSwarmPanel activity log

    Aakarsh2007
    7a2d622
  26. feat(ui): LogStream with filter+autoscroll, TelemetryChart area chart, NoisePanel for signal/noise separation

    Aakarsh2007
    9c5b8ff