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Finish Roopal April 5-6 docs and repo audit

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.dockerignore ADDED
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+ .git/
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+ __pycache__/
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+ *.py[cod]
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+ *.egg-info/
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+ .pytest_cache/
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+ .mypy_cache/
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+ .ruff_cache/
.gitignore ADDED
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+ .venv/
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+ __pycache__/
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+ *.py[cod]
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+ *.egg-info/
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+ .pytest_cache/
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+ .mypy_cache/
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+ .ruff_cache/
KNOWLEDGE.md CHANGED
@@ -30,6 +30,15 @@ A helpdesk agent has to decide what the ticket is about, how urgent it is, who s
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  This environment simulates a short helpdesk queue where an agent routes one ticket at a time and is graded on structured routing quality.
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  ## Frozen Project Identity
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  - Team name: `Hackstreet Boys`
@@ -277,16 +286,25 @@ The local heuristic baseline completed successfully after that fix with:
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  - Task 3: `0.9400`
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  - Overall: `0.9400`
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  ## What Still Needs Hands-On Verification
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- The biggest remaining checks are merge-state and packaging checks, not first-pass local execution.
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  Still pending:
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- 1. rerun the heuristic baseline on the latest fully merged branch
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- 2. confirm Docker starts cleanly
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- 3. do a clean-machine dry run if possible
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- 4. record final benchmark numbers only after the merged-state rerun
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  ## One-Minute Summary
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@@ -297,4 +315,4 @@ If you come back to this repo later, remember:
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  - the agent predicts structured routing fields
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  - grading is deterministic with limited partial credit
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  - the inference script is the baseline player
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- - the first local runtime pass is complete, but merged-state validation is still important
 
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  This environment simulates a short helpdesk queue where an agent routes one ticket at a time and is graded on structured routing quality.
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+ ## Judge-Facing Explanation
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+
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+ If a judge asks why this environment is a strong submission, the concise answer is:
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+
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+ 1. IT helpdesk routing is a real operational workflow with clear business value.
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+ 2. The input is realistic free-form ticket text, but the output is typed and easy to grade deterministically.
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+ 3. The three-task ladder creates a clean progression from basic classification to full queue routing.
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+ 4. The repo stays judge-friendly because the vocabulary, task labels, and scoring rules are all explicit and frozen.
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+
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  ## Frozen Project Identity
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  - Team name: `Hackstreet Boys`
 
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  - Task 3: `0.9400`
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  - Overall: `0.9400`
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+ A merged-state rerun on the current `main` branch matched those same numbers exactly.
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+
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+ ## April 6 Repo Audit
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+
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+ An April 6 documentation and repo audit confirmed:
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+
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+ - all required runtime, data, metadata, and documentation files are present in the workspace
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+ - the docs consistently describe IT helpdesk ticket routing rather than the old email-triage domain
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+ - the current local benchmark reference is `1.0000`, `0.8800`, `0.9400`, overall `0.9400`
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+ - the remaining work is execution validation, not documentation cleanup
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+
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  ## What Still Needs Hands-On Verification
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+ The biggest remaining checks are packaging and clean-machine checks, not merge-state local execution.
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  Still pending:
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+ 1. confirm Docker starts cleanly
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+ 2. do a clean-machine dry run if possible
 
 
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  ## One-Minute Summary
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315
  - the agent predicts structured routing fields
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  - grading is deterministic with limited partial credit
317
  - the inference script is the baseline player
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+ - merged-state local validation is complete, and Docker is the main remaining hands-on check
MENTAL_MODEL.md CHANGED
@@ -130,7 +130,7 @@ The state tracks:
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  ## Runtime Notes
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- The repo has now passed an initial local heuristic run.
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  Current local baseline:
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@@ -139,6 +139,8 @@ Current local baseline:
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  - Task 3: `0.9400`
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  - Overall: `0.9400`
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  One practical implementation note from runtime validation:
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  - `data/dataset.json` may be saved with a UTF-8 BOM on Windows, so `server/tasks.py` intentionally loads it with `utf-8-sig`
@@ -168,4 +170,4 @@ If coming back later, remember this:
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  - the agent predicts structured routing fields
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  - the grader gives deterministic partial credit
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  - `inference.py` is the baseline agent runner
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- - the local heuristic path already works end to end
 
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  ## Runtime Notes
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+ The repo has now passed both the initial local heuristic run and a merged-state rerun on the current `main` branch.
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  Current local baseline:
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  - Task 3: `0.9400`
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  - Overall: `0.9400`
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+ The merged-state rerun matched the same baseline numbers exactly.
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+
144
  One practical implementation note from runtime validation:
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  - `data/dataset.json` may be saved with a UTF-8 BOM on Windows, so `server/tasks.py` intentionally loads it with `utf-8-sig`
 
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  - the agent predicts structured routing fields
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  - the grader gives deterministic partial credit
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  - `inference.py` is the baseline agent runner
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+ - the local heuristic path now works end to end on the current merged repo state
PLAN.md CHANGED
@@ -126,11 +126,11 @@ The project keeps three tasks:
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  ### Runtime risk
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- The repo still needs a proper local execution pass to confirm everything after the latest edits.
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  ### Benchmark risk
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- Fresh scores must be generated and then reflected in docs.
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  ### Deployment risk
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  ### Runtime risk
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+ The first local execution pass and a merged-state rerun have already completed successfully. The remaining runtime risk is Docker and clean-machine behavior, not first-pass local execution.
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  ### Benchmark risk
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+ The current merged-state local benchmark has already been recorded. The remaining benchmark risk is making sure Docker or clean-machine validation does not surface a late behavioral mismatch.
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  ### Deployment risk
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PROJECT_STATUS.md CHANGED
@@ -144,11 +144,50 @@ Documentation fixes made from runtime feedback:
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  - clarified that merged-state reruns still matter before final benchmark recording
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  - documented the Windows UTF-8 BOM issue and its handling path in `server/tasks.py`
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  ## Open Items
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  Still pending after the current checkpoint:
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- - rerun runtime validation on the latest shared branch after all pending merges land
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- - perform a Docker smoke test from the merged repo state
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- - complete the shared April 4 rerun after Suyash-side fixes land
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- - record final benchmark numbers only after the merged-state rerun
 
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  - clarified that merged-state reruns still matter before final benchmark recording
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  - documented the Windows UTF-8 BOM issue and its handling path in `server/tasks.py`
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+ ## April 5, 2026
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+
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+ Status: shared merged-state rerun complete, Docker smoke test still pending
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+
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+ Shared work completed:
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+
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+ - reran local runtime validation on the current `main` branch
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+ - revalidated `/health` and `/tasks`
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+ - reran heuristic `inference.py` across all 3 tasks
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+ - confirmed the merged-state local baseline matched the earlier working numbers exactly
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+ - added `.gitignore` and `.dockerignore` to keep local artifacts out of git status and Docker build context
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+
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+ Merged-state heuristic baseline on the current repo state:
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+
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+ - Task 1: `1.0000`
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+ - Task 2: `0.8800`
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+ - Task 3: `0.9400`
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+ - Overall: `0.9400`
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+
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+ Environment notes:
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+
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+ - the Codex shell could run the project virtualenv successfully once Python execution was allowed outside the sandbox
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+ - Docker was not available in the current shell context, so the Docker smoke test is still pending on a machine with Docker installed
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+
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+ Roopal-side documentation work completed:
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+
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+ - finalized `README.md` wording around submission readiness
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+ - finalized `KNOWLEDGE.md` as the judge-facing knowledge guide
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+ - added concise judge-facing domain explanations to the docs
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+
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+ ## April 6, 2026
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+
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+ Status: Roopal-side repo audit complete, shared execution checks still pending
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+
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+ Roopal-side work completed:
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+
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+ - audited required submission files and confirmed they are present in the repo
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+ - completed a stale-claims and outdated-wording pass across the core docs
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+ - updated `PLAN.md` to reflect that first-pass local execution is no longer the main runtime risk
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+ - left the remaining work focused on Docker and clean-machine validation rather than documentation cleanup
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+
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  ## Open Items
189
 
190
  Still pending after the current checkpoint:
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+ - perform a Docker smoke test from the current merged repo state
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+ - do a clean-machine dry run if possible before final submission freeze
 
 
README.md CHANGED
@@ -5,6 +5,15 @@
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  This repository contains a deterministic OpenEnv environment for IT helpdesk ticket routing. An agent is shown one ticket at a time from a short queue and must predict the right issue type, operational priority, assignment group, and next action.
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  ## What This Environment Simulates
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10
  The environment models a realistic helpdesk workflow:
@@ -274,7 +283,7 @@ Optional target:
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  ## Runtime Validation Snapshot
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- The first local heuristic validation pass has already been completed on the current repo shape.
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  Validated locally:
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@@ -293,7 +302,7 @@ Current local heuristic results:
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  | Full Ticket Routing | `0.9400` |
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  | Overall | `0.9400` |
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- These numbers are useful as a working baseline, but the team should still rerun them on the latest fully merged branch before treating them as final benchmark values.
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  ### Windows note
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@@ -340,8 +349,13 @@ The repo is already aligned on:
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  - grader and reward design
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  - packaging metadata and Docker entry point
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  Still pending before final submission:
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- - a rerun on the latest fully merged branch
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- - a Docker smoke test from a clean machine
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- - final benchmark values only after merged-state validation
 
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  This repository contains a deterministic OpenEnv environment for IT helpdesk ticket routing. An agent is shown one ticket at a time from a short queue and must predict the right issue type, operational priority, assignment group, and next action.
7
 
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+ ## Judge-Facing Summary
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+
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+ If a judge reads only one short explanation, it should be this:
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+
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+ - this environment models a real enterprise workflow, not a toy classification task
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+ - each ticket requires typed routing decisions that are easy to score deterministically
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+ - the task ladder moves cleanly from single-field classification to full operational routing
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+ - the repo is small enough to rerun quickly and explicit enough to understand without hidden business logic
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+
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  ## What This Environment Simulates
18
 
19
  The environment models a realistic helpdesk workflow:
 
283
 
284
  ## Runtime Validation Snapshot
285
 
286
+ The repo has now completed both the first local heuristic validation pass and a merged-state rerun on the current `main` branch.
287
 
288
  Validated locally:
289
 
 
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  | Full Ticket Routing | `0.9400` |
303
  | Overall | `0.9400` |
304
 
305
+ The merged-state rerun matched these same numbers exactly, so they are the current benchmark reference for the repo. A Docker smoke test and clean-machine rerun are still recommended before final submission freeze.
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307
  ### Windows note
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  - grader and reward design
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  - packaging metadata and Docker entry point
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+ An April 6 repo audit also confirmed that all required submission files are present:
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+
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+ - runtime: `models.py`, `client.py`, `inference.py`, `server/app.py`, `server/environment.py`, `server/grader.py`, `server/reward.py`, `server/tasks.py`
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+ - data and metadata: `data/dataset.json`, `openenv.yaml`, `pyproject.toml`, `requirements.txt`, `server/Dockerfile`
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+ - docs and planning: `README.md`, `KNOWLEDGE.md`, `MENTAL_MODEL.md`, `PLAN.md`, `PROJECT_STATUS.md`, `ROADMAP.md`
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+
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  Still pending before final submission:
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+ - a Docker smoke test from a machine with Docker installed
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+ - a final clean-machine dry run if possible before submission freeze
 
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