Input:
*** Begin Patch
*** Add File: scripts/validate_dataset.py
+"""Validate NeuroBait JSONL training/eval files before Modal image build."""
+
+from __future__ import annotations
+
+import argparse
+import json
+from collections import Counter
+from pathlib import Path
+
+
+SYSTEM_PREFIX = "Kamu adalah NeuroBait"
+VALID_ROLES = {"system", "user", "assistant"}
+
+
+def load_jsonl(path: Path) -> list[dict]:
+    rows = []
+    with path.open("r", encoding="utf-8") as fh:
+        for line_no, line in enumerate(fh, start=1):
+            if not line.strip():
+                continue
+            try:
+                rows.append(json.loads(line))
+            except json.JSONDecodeError as exc:
+                raise ValueError(f"{path}:{line_no}: invalid JSON") from exc
+    return rows
+
+
+def validate_row(row: dict, path: Path, index: int) -> list[str]:
+    errors = []
+    messages = row.get("messages")
+    if not isinstance(messages, list) or len(messages) < 3:
+        return [f"{path}:{index}: messages must be a list with at least 3 turns"]
+
+    roles = [message.get("role") for message in messages]
+    if roles[0] != "system":
+        errors.append(f"{path}:{index}: first role must be system")
+    if any(role not in VALID_ROLES for role in roles):
+        errors.append(f"{path}:{index}: invalid role sequence {roles}")
+
+    system_content = messages[0].get("content", "")
+    if not isinstance(system_content, str) or not system_content.startswith(SYSTEM_PREFIX):
+        errors.append(f"{path}:{index}: missing official NeuroBait system prompt")
+
+    previous = "system"
+    for turn_no, message in enumerate(messages[1:], start=1):
+        role = message.get("role")
+        content = message.get("content")
+        if not isinstance(content, str) or not content.strip():
+            errors.append(f"{path}:{index}: turn {turn_no} has empty content")
+        expected = "user" if previous in {"system", "assistant"} else "assistant"
+        if role != expected:
+            errors.append(f"{path}:{index}: turn {turn_no} expected {expected}, got {role}")
+        previous = role
+
+    if roles[-1] != "assistant":
+        errors.append(f"{path}:{index}: final role should be assistant")
+    return errors
+
+
+def validate_file(path: Path, expected_count: int | None = None) -> dict:
+    rows = load_jsonl(path)
+    errors = []
+    turns = Counter()
+    for index, row in enumerate(rows, start=1):
+        errors.extend(validate_row(row, path, index))
+        for message in row.get("messages", []):
+            turns[message.get("role")] += 1
+
+    if expected_count is not None and len(rows) != expected_count:
+        errors.append(f"{path}: expected {expected_count} rows, found {len(rows)}")
+
+    return {
+        "path": str(path),
+        "rows": len(rows),
+        "turns": dict(turns),
+        "errors": errors,
+    }
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Validate NeuroBait dataset JSONL files.")
+    parser.add_argument("--train", type=Path, default=Path("data/train.jsonl"))
+    parser.add_argument("--eval", type=Path, default=Path("data/eval.jsonl"))
+    parser.add_argument("--expected-train", type=int, default=270)
+    parser.add_argument("--expected-eval", type=int, default=30)
+    args = parser.parse_args()
+
+    results = [
+        validate_file(args.train, args.expected_train),
+        validate_file(args.eval, args.expected_eval),
+    ]
+    print(json.dumps(results, ensure_ascii=False, indent=2))
+
+    errors = [error for result in results for error in result["errors"]]
+    if errors:
+        raise SystemExit(1)
+
+
+if __name__ == "__main__":
+    main()
*** Add File: docs/product_brief.md
+# NeuroBait Product Brief
+
+NeuroBait is an AI companion for ADHD and neurodivergent task initiation. The
+core job is not planning, productivity coaching, or generating a full to-do
+list. The core job is creating enough emotional and attentional momentum for the
+user to start.
+
+The assistant should feel like a warm conversational partner:
+
+- short, natural prose
+- no labels such as `Micro-action`, `Hook`, or `Stakes`
+- no guilt framing
+- no generic motivational cliches
+- always preserves user agency
+- asks exactly one light question when context is insufficient
+- gives one tiny concrete next action when context is sufficient
+
+The model is trained for multi-turn momentum. The app layer may initiate
+proactive openers from user state, but the model itself should not be responsible
+for deciding when to initiate contact.
+
+## Design Anchors
+
+Every response should infer or ask for:
+
+- deadline anchor: a real or artificial moment that can make action feel timely
+- object/subject motivator: the emotionally meaningful person, object, or reason
+
+Those anchors are used as raw material for a natural engagement recipe:
+
+1. warm validation
+2. interest or flow hook
+3. relevant stakes
+4. one tiny action
+
+The recipe should not be exposed as structure in the final text.
*** Add File: model-card/README.md
+# NeuroBait Gemma 4 26B-A4B
+
+Draft model card for the Hugging Face Model repo.
+
+## Model Summary
+
+NeuroBait is a LoRA fine-tune of `unsloth/gemma-4-26b-a4b-it` for ADHD and
+neurodivergent task initiation conversations. It is designed to produce warm,
+short, agency-preserving prose that helps users start a task without turning the
+conversation into a to-do list.
+
+## Base Model
+
+- Base: `unsloth/gemma-4-26b-a4b-it`
+- Method: 16-bit LoRA
+- License inheritance: verify from the base model card before publishing
+
+## Training Data
+
+The run #3 dataset is bilingual Indonesian/English:
+
+- 270 train conversations
+- 30 eval conversations
+- multi-turn format with `messages[]`
+- official NeuroBait system prompt prepended to each example
+
+Dataset files are not included in the source repo or model repo unless explicitly
+published later.
+
+## Intended Use
+
+This model is intended for a Gradio chat demo and research/product exploration
+around ADHD-friendly task initiation support.
+
+## Limitations
+
+- Not a medical device.
+- Not a replacement for professional mental-health support.
+- May fail to infer the right motivator or deadline anchor from sparse context.
+- English transfer must be evaluated separately for run #3.
+- App-initiated reminders should be handled by app logic, not generated
+  spontaneously by the model.
+
+## Training Configuration
+
+- LoRA rank: 16
+- LoRA alpha: 16
+- LoRA dropout: 0
+- Epochs: 3
+- Learning rate: 2e-4
+- Effective batch size: 8
+- Max sequence length: 2048
+- Chat template: `gemma-4`
+- Response-only markers: `<|turn>user\n` / `<|turn>model\n`
+
+## Evaluation
+
+Add final run #3 metrics and qualitative examples here after Modal eval.
*** Add File: deploy/README.md
+# NeuroBait HF Space
+
+This directory is the source for the Hugging Face Space repo. The Space should
+remain separate from the GitHub source repo and the HF Model repo.
+
+## Files
+
+- `app.py`: Gradio chat app
+- `requirements.txt`: Space dependencies
+
+## Space Configuration
+
+Set this environment variable in the HF Space:
+
+```text
+MODEL_ID=USER/neurobait-gemma4-26b-a4b
+```
+
+The model repo should point to the merged model intended for inference.
+
+## Hardware
+
+A merged bf16 Gemma 4 26B-A4B model is large. Use a GPU tier that can actually
+load the final model, or switch the app to a quantized loading path before using
+smaller hardware.
+
+## App-Initiated Openers
+
+Proactive openers belong in application logic. If the app wants to start with an
+assistant message, inject that opener into chat history before the next user
+turn. Do not ask the model to decide when to initiate contact.
*** End Patch


Success. Updated the following files:
A scripts/validate_dataset.py
A docs/product_brief.md
A model-card/README.md
A deploy/README.md

"""Validate NeuroBait JSONL training/eval files before Modal image build."""

from __future__ import annotations

import argparse
import json
from collections import Counter
from pathlib import Path

SYSTEM_PREFIX = "Kamu adalah NeuroBait"
VALID_ROLES = {"system", "user", "assistant"}

def load_jsonl(path: Path) -> list[dict]:
    rows = []
    with path.open("r", encoding="utf-8") as fh:
        for line_no, line in enumerate(fh, start=1):
            if not line.strip():
                continue
            try:
                rows.append(json.loads(line))
            except json.JSONDecodeError as exc:
                raise ValueError(f"{path}:{line_no}: invalid JSON") from exc
    return rows

def validate_row(row: dict, path: Path, index: int) -> list[str]:
    errors = []
    messages = row.get("messages")
    if not isinstance(messages, list) or len(messages) < 3:
        return [f"{path}:{index}: messages must be a list with at least 3 turns"]

    roles = [message.get("role") for message in messages]
    if roles[0] != "system":
        errors.append(f"{path}:{index}: first role must be system")
    if any(role not in VALID_ROLES for role in roles):
        errors.append(f"{path}:{index}: invalid role sequence {roles}")

    system_content = messages[0].get("content", "")
    if not isinstance(system_content, str) or not system_content.startswith(SYSTEM_PREFIX):
        errors.append(f"{path}:{index}: missing official NeuroBait system prompt")

    previous = "system"
    for turn_no, message in enumerate(messages[1:], start=1):
        role = message.get("role")
        content = message.get("content")
        if not isinstance(content, str) or not content.strip():
            errors.append(f"{path}:{index}: turn {turn_no} has empty content")
        expected = "user" if previous in {"system", "assistant"} else "assistant"
        if role != expected:
            errors.append(f"{path}:{index}: turn {turn_no} expected {expected}, got {role}")
        previous = role

    if roles[-1] != "assistant":
        errors.append(f"{path}:{index}: final role should be assistant")
    return errors

def validate_file(path: Path, expected_count: int | None = None) -> dict:
    rows = load_jsonl(path)
    errors = []
    turns = Counter()
    for index, row in enumerate(rows, start=1):
        errors.extend(validate_row(row, path, index))
        for message in row.get("messages", []):
            turns[message.get("role")] += 1

    if expected_count is not None and len(rows) != expected_count:
        errors.append(f"{path}: expected {expected_count} rows, found {len(rows)}")

    return {
        "path": str(path),
        "rows": len(rows),
        "turns": dict(turns),
        "errors": errors,
    }

def main() -> None:
    parser = argparse.ArgumentParser(description="Validate NeuroBait dataset JSONL files.")
    parser.add_argument("--train", type=Path, default=Path("data/train.jsonl"))
    parser.add_argument("--eval", type=Path, default=Path("data/eval.jsonl"))
    parser.add_argument("--expected-train", type=int, default=270)
    parser.add_argument("--expected-eval", type=int, default=30)
    args = parser.parse_args()

    results = [
        validate_file(args.train, args.expected_train),
        validate_file(args.eval, args.expected_eval),
    ]
    print(json.dumps(results, ensure_ascii=False, indent=2))

    errors = [error for result in results for error in result["errors"]]
    if errors:
        raise SystemExit(1)

if __name__ == "__main__":
    main()

# NeuroBait Gemma 4 26B-A4B

Draft model card for the Hugging Face Model repo.

## Model Summary

NeuroBait is a LoRA fine-tune of `unsloth/gemma-4-26b-a4b-it` for ADHD and
neurodivergent task initiation conversations. It is designed to produce warm,
short, agency-preserving prose that helps users start a task without turning the
conversation into a to-do list.

## Base Model

- Base: `unsloth/gemma-4-26b-a4b-it`
- Method: 16-bit LoRA
- License inheritance: verify from the base model card before publishing

## Training Data

The run #3 dataset is bilingual Indonesian/English:

- 270 train conversations
- 30 eval conversations
- multi-turn format with `messages[]`
- official NeuroBait system prompt prepended to each example

Dataset files are not included in the source repo or model repo unless explicitly
published later.

## Intended Use

This model is intended for a Gradio chat demo and research/product exploration
around ADHD-friendly task initiation support.

## Limitations

- Not a medical device.
- Not a replacement for professional mental-health support.
- May fail to infer the right motivator or deadline anchor from sparse context.
- English transfer must be evaluated separately for run #3.
- App-initiated reminders should be handled by app logic, not generated
  spontaneously by the model.

## Training Configuration

- LoRA rank: 16
- LoRA alpha: 16
- LoRA dropout: 0
- Epochs: 3
- Learning rate: 2e-4
- Effective batch size: 8
- Max sequence length: 2048
- Chat template: `gemma-4`
- Response-only markers: `<|turn>user\n` / `<|turn>model\n`

## Evaluation

Add final run #3 metrics and qualitative examples here after Modal eval.

# NeuroBait Product Brief

NeuroBait is an AI companion for ADHD and neurodivergent task initiation. The
core job is not planning, productivity coaching, or generating a full to-do
list. The core job is creating enough emotional and attentional momentum for the
user to start.

The assistant should feel like a warm conversational partner:

- short, natural prose
- no labels such as `Micro-action`, `Hook`, or `Stakes`
- no guilt framing
- no generic motivational cliches
- always preserves user agency
- asks exactly one light question when context is insufficient
- gives one tiny concrete next action when context is sufficient

The model is trained for multi-turn momentum. The app layer may initiate
proactive openers from user state, but the model itself should not be responsible
for deciding when to initiate contact.

## Design Anchors

Every response should infer or ask for:

- deadline anchor: a real or artificial moment that can make action feel timely
- object/subject motivator: the emotionally meaningful person, object, or reason

Those anchors are used as raw material for a natural engagement recipe:

1. warm validation
2. interest or flow hook
3. relevant stakes
4. one tiny action

The recipe should not be exposed as structure in the final text.

# NeuroBait HF Space

This directory is the source for the Hugging Face Space repo. The Space should
remain separate from the GitHub source repo and the HF Model repo.

## Files

- `app.py`: Gradio chat app
- `requirements.txt`: Space dependencies

## Space Configuration

Set this environment variable in the HF Space:

```text
MODEL_ID=USER/neurobait-gemma4-26b-a4b
```

The model repo should point to the merged model intended for inference.

## Hardware

A merged bf16 Gemma 4 26B-A4B model is large. Use a GPU tier that can actually
load the final model, or switch the app to a quantized loading path before using
smaller hardware.

## App-Initiated Openers

Proactive openers belong in application logic. If the app wants to start with an
assistant message, inject that opener into chat history before the next user
turn. Do not ask the model to decide when to initiate contact.


Output:
Exit code: 0
Wall time: 0.5 seconds
Output:
Success. Updated the following files:
A scripts/validate_dataset.py
A docs/product_brief.md
A model-card/README.md
A deploy/README.md


Scaffold tambahan sudah masuk. Saya akan validasi dataset lokal yang baru disalin, compile file baru, dan cek daftar struktur akhir supaya kamu bisa review dengan konteks lengkap.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m py_compile scripts/validate_dataset.py train/train_core.py train/modal_train.py eval/eval_neurobait.py eval/make_report.py deploy/app.py


Output:
Chunk ID: 5eb5a4
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 81
Output:
[
  {
    "path": "data/train.jsonl",
    "rows": 270,
    "turns": {
      "system": 270,
      "user": 1356,
      "assistant": 1356
    },
    "errors": []
  },
  {
    "path": "data/eval.jsonl",
    "rows": 30,
    "turns": {
      "system": 30,
      "user": 164,
      "assistant": 164
    },
    "errors": []
  }
]


Output:
Chunk ID: 14c586
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: 6f6194
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 139
Output:
./.gitignore
./HANDOFF.md
./README.md
./data/eval.jsonl
./data/train.jsonl
./deploy/README.md
./deploy/__pycache__/app.cpython-310.pyc
./deploy/app.py
./deploy/requirements.txt
./docs/product_brief.md
./eval/__pycache__/eval_neurobait.cpython-310.pyc
./eval/__pycache__/make_report.cpython-310.pyc
./eval/eval_neurobait.py
./eval/make_report.py
./github-hf.svg
./model-card/README.md
./scripts/validate_dataset.py
./train/__pycache__/modal_train.cpython-310.pyc
./train/__pycache__/train_core.cpython-310.pyc
./train/modal_train.py
./train/train_core.py


`data/` tadi kosong karena memang belum saya salin dari upstream, dan folder itu sengaja masuk `.gitignore`. Sekarang sudah saya copy:

- `data/train.jsonl`
- `data/eval.jsonl`

Validasi dataset lulus:
- train: `270` rows, `1356` user turns, `1356` assistant turns
- eval: `30` rows, `164` user turns, `164` assistant turns
- errors: `[]`

Saya juga lanjut scaffold tambahan:
- [scripts/validate_dataset.py](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/scripts/validate_dataset.py:1)
- [docs/product_brief.md](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/docs/product_brief.md:1)
- [model-card/README.md](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/model-card/README.md:1)
- [deploy/README.md](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/deploy/README.md:1)

Syntax check juga lulus. `__pycache__` muncul dari compile check, tapi sudah di-ignore via `.gitignore`.


# Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

Use the `request_user_input` tool only when it is listed in the available tools for this turn.

In Default mode, strongly prefer making reasonable assumptions and executing the user's request rather than stopping to ask questions. If you absolutely must ask a question because the answer cannot be discovered from local context and a reasonable assumption would be risky, ask the user directly with a concise plain-text question. Never write a multiple choice question as a textual assistant message.

Summary: auto


github-hf.svg dan HANDOFF.md dimasukkan ke folder local-dev saja, lalu buatkan log_dev.md juga didalamnya untuk trace development kita, agar kamu atau agent berikutnya tinggal baca dari situ apa yang harus dilakukan. folder local-dev tidak perlu dipush di github. btw github repo sudah saya buat https://github.com/Subrata15/NeuroBait-Build-Small-Model git workaround sudah ada disini, jadi harusnya kamu bisa langsung lakukan operasi git. repo tersebut sudah saya buat dengan tanpa readme dan gitignore


Saya akan rapikan `HANDOFF.md` dan `github-hf.svg` ke `local-dev/`, masukkan folder itu ke `.gitignore`, lalu buat `local-dev/log_dev.md` sebagai trace untuk agent berikutnya. Setelah itu saya cek kondisi Git workaround dan remote GitHub supaya repo siap dipush tanpa memasukkan local-dev/data.


Output:
Chunk ID: 969d30
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 22
Output:
        1      0 dr-xr-xr-x   2 haris-subrata haris-subrata       40 Jun  8 17:37 .git


Output:
Chunk ID: c3f07c
Wall time: 0.0000 seconds
Process exited with code 128
Original token count: 40
Output:
fatal: not a git repository (or any parent up to mount point /media/haris-subrata)
Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).


Output:
Chunk ID: b56009
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 81
Output:
./.gitignore
./HANDOFF.md
./README.md
./data/eval.jsonl
./data/train.jsonl
./deploy/README.md
./deploy/app.py
./deploy/requirements.txt
./docs/product_brief.md
./eval/eval_neurobait.py
./eval/make_report.py
./github-hf.svg
./model-card/README.md
./scripts/validate_dataset.py
./train/modal_train.py
./train/train_core.py


`.git` saat ini masih berupa direktori kosong/read-only yang tidak dikenali Git, jadi `git status` tetap gagal. Saya akan selesaikan dulu perubahan file non-Git, lalu baru tangani inisialisasi/remote Git dengan hati-hati.


mkdir -p local-dev && mv HANDOFF.md github-hf.svg local-dev/


Output:
Chunk ID: a093d5
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Saya sekarang update `.gitignore` dan tulis `local-dev/log_dev.md` berisi state proyek, keputusan arsitektur, data yang sudah disalin, dan next actions. Folder `local-dev/` akan jadi catatan privat lokal, tidak ikut GitHub.


Input:
*** Begin Patch
*** Update File: .gitignore
@@
 # Local development.
+local-dev/
 .venv/
 __pycache__/
 *.pyc
 .env
*** Add File: local-dev/log_dev.md
+# NeuroBait Build Small Model - Local Dev Log
+
+Last updated: 2026-06-08
+
+## Current Role
+
+This workspace is the GitHub/source-code repo for the NeuroBait small-model
+build. It should contain engineering code, docs, and deployment templates.
+Dataset and model artifacts stay local/out-of-band.
+
+## Repository Split
+
+Use three separate operational artifacts:
+
+1. GitHub source repo:
+   `https://github.com/Subrata15/NeuroBait-Build-Small-Model`
+2. Hugging Face Model repo:
+   LoRA adapter and/or merged model weights.
+3. Hugging Face Space repo:
+   Gradio application that loads the HF Model repo.
+
+`local-dev/github-hf.svg` contains the architecture diagram.
+
+## Local-Only Files
+
+`local-dev/` is ignored by Git and should not be pushed.
+
+Current local-only files:
+
+- `local-dev/HANDOFF.md`: full upstream handoff and locked project decisions.
+- `local-dev/github-hf.svg`: GitHub / Modal / HF diagram.
+- `local-dev/log_dev.md`: this trace.
+
+## Dataset State
+
+Dataset has been copied from upstream sibling project:
+
+- Source: `../ai-adhd-small-model-hf-2026/data/train.jsonl`
+- Source: `../ai-adhd-small-model-hf-2026/data/eval.jsonl`
+- Local: `data/train.jsonl`
+- Local: `data/eval.jsonl`
+
+`data/` is ignored by Git.
+
+Validation run:
+
+```text
+python scripts/validate_dataset.py
+```
+
+Result:
+
+- train rows: 270
+- eval rows: 30
+- train turns: 1356 user / 1356 assistant
+- eval turns: 164 user / 164 assistant
+- errors: none
+
+## Scaffold Created
+
+Source repo files:
+
+- `.gitignore`
+- `README.md`
+- `train/train_core.py`
+- `train/modal_train.py`
+- `eval/eval_neurobait.py`
+- `eval/make_report.py`
+- `deploy/app.py`
+- `deploy/requirements.txt`
+- `deploy/README.md`
+- `docs/product_brief.md`
+- `model-card/README.md`
+- `scripts/validate_dataset.py`
+
+Validation completed with:
+
+```text
+/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m py_compile ...
+```
+
+## Python Dev Env
+
+Use the shared LLM development venv:
+
+```bash
+source /media/haris-subrata/Work/llm/agent_analytics/venv/bin/activate
+```
+
+Do not depend on the old RunPod venv. The old RunPod venv was `/root/nb` and
+was ephemeral.
+
+## Locked Training Decisions
+
+- Base model: `unsloth/gemma-4-26b-a4b-it`
+- Method: 16-bit LoRA, not QLoRA
+- LoRA: r=16, alpha=16, dropout=0
+- Target modules: q/k/v/o/gate/up/down_proj
+- Epochs: 3
+- LR: 2e-4
+- Batch: 1 x grad_accum 8
+- Max seq: 2048
+- Chat template: `gemma-4`
+- Response markers: `<|turn>user\n` and `<|turn>model\n`
+- `save_strategy="no"` is required to avoid the Unsloth/TRL checkpoint pickle bug.
+
+Expected run #3 step count:
+
+```text
+ceil(270 / 8) * 3 = 102
+```
+
+## Immediate Next Actions
+
+1. Fix/init Git state in this folder if needed.
+2. Set remote:
+   `git remote add origin https://github.com/Subrata15/NeuroBait-Build-Small-Model.git`
+3. Confirm ignored files are not staged:
+   `data/`, `local-dev/`, `__pycache__/`.
+4. Commit scaffold.
+5. Push to GitHub.
+6. Install/auth Modal locally if not already done.
+7. Create Modal secret:
+   `modal secret create huggingface HF_TOKEN=...`
+8. Run:
+   `modal run train/modal_train.py`
+
+## Open Decisions
+
+- HF username/org and final HF Model repo IDs.
+- HF Space repo name.
+- HF Space hardware and whether inference should load bf16, 4-bit, or a quantized artifact.
+- Whether to publish adapter-only first or merged model first.
+
+## Caution For Future Agents
+
+- Read `local-dev/HANDOFF.md` before changing training hyperparameters.
+- Do not commit `data/`, adapter files, merged model files, GGUF files, outputs, or local tokens.
+- Do not move proactive/app-initiated opener logic into the model. It belongs in the app layer.
*** End Patch


Success. Updated the following files:
A local-dev/log_dev.md
M .gitignore

@@ -12,2 +12,3 @@
 # Local development.
+local-dev/
 .venv/

# NeuroBait Build Small Model - Local Dev Log

Last updated: 2026-06-08

## Current Role

This workspace is the GitHub/source-code repo for the NeuroBait small-model
build. It should contain engineering code, docs, and deployment templates.
Dataset and model artifacts stay local/out-of-band.

## Repository Split

Use three separate operational artifacts:

1. GitHub source repo:
   `https://github.com/Subrata15/NeuroBait-Build-Small-Model`
2. Hugging Face Model repo:
   LoRA adapter and/or merged model weights.
3. Hugging Face Space repo:
   Gradio application that loads the HF Model repo.

`local-dev/github-hf.svg` contains the architecture diagram.

## Local-Only Files

`local-dev/` is ignored by Git and should not be pushed.

Current local-only files:

- `local-dev/HANDOFF.md`: full upstream handoff and locked project decisions.
- `local-dev/github-hf.svg`: GitHub / Modal / HF diagram.
- `local-dev/log_dev.md`: this trace.

## Dataset State

Dataset has been copied from upstream sibling project:

- Source: `../ai-adhd-small-model-hf-2026/data/train.jsonl`
- Source: `../ai-adhd-small-model-hf-2026/data/eval.jsonl`
- Local: `data/train.jsonl`
- Local: `data/eval.jsonl`

`data/` is ignored by Git.

Validation run:

```text
python scripts/validate_dataset.py
```

Result:

- train rows: 270
- eval rows: 30
- train turns: 1356 user / 1356 assistant
- eval turns: 164 user / 164 assistant
- errors: none

## Scaffold Created

Source repo files:

- `.gitignore`
- `README.md`
- `train/train_core.py`
- `train/modal_train.py`
- `eval/eval_neurobait.py`
- `eval/make_report.py`
- `deploy/app.py`
- `deploy/requirements.txt`
- `deploy/README.md`
- `docs/product_brief.md`
- `model-card/README.md`
- `scripts/validate_dataset.py`

Validation completed with:

```text
/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m py_compile ...
```

## Python Dev Env

Use the shared LLM development venv:

```bash
source /media/haris-subrata/Work/llm/agent_analytics/venv/bin/activate
```

Do not depend on the old RunPod venv. The old RunPod venv was `/root/nb` and
was ephemeral.

## Locked Training Decisions

- Base model: `unsloth/gemma-4-26b-a4b-it`
- Method: 16-bit LoRA, not QLoRA
- LoRA: r=16, alpha=16, dropout=0
- Target modules: q/k/v/o/gate/up/down_proj
- Epochs: 3
- LR: 2e-4
- Batch: 1 x grad_accum 8
- Max seq: 2048
- Chat template: `gemma-4`
- Response markers: `<|turn>user\n` and `<|turn>model\n`
- `save_strategy="no"` is required to avoid the Unsloth/TRL checkpoint pickle bug.

Expected run #3 step count:

```text
ceil(270 / 8) * 3 = 102
```

## Immediate Next Actions

1. Fix/init Git state in this folder if needed.
2. Set remote:
   `git remote add origin https://github.com/Subrata15/NeuroBait-Build-Small-Model.git`
3. Confirm ignored files are not staged:
   `data/`, `local-dev/`, `__pycache__/`.
4. Commit scaffold.
5. Push to GitHub.
6. Install/auth Modal locally if not already done.
7. Create Modal secret:
   `modal secret create huggingface HF_TOKEN=...`
8. Run:
   `modal run train/modal_train.py`

## Open Decisions

- HF username/org and final HF Model repo IDs.
- HF Space repo name.
- HF Space hardware and whether inference should load bf16, 4-bit, or a quantized artifact.
- Whether to publish adapter-only first or merged model first.

## Caution For Future Agents

- Read `local-dev/HANDOFF.md` before changing training hyperparameters.
- Do not commit `data/`, adapter files, merged model files, GGUF files, outputs, or local tokens.
- Do not move proactive/app-initiated opener logic into the model. It belongs in the app layer.


Output:
Exit code: 0
Wall time: 0.2 seconds
Output:
Success. Updated the following files:
A local-dev/log_dev.md
M .gitignore


Perubahan local-dev sudah selesai. Untuk Git, karena `.git` yang ada kosong dan bukan repo, saya akan pakai `rmdir .git` hanya jika benar-benar kosong, lalu `git init` dan set remote ke repo GitHub yang kamu berikan.


Output:
Chunk ID: a290d9
Wall time: 0.0000 seconds
Process exited with code 1
Original token count: 14
Output:
rmdir: failed to remove '.git': Device or resource busy


Output:
Chunk ID: 3cf3fd
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 163
Output:
./.gitignore
./README.md
./data/eval.jsonl
./data/train.jsonl
./deploy/README.md
./deploy/__pycache__/app.cpython-310.pyc
./deploy/app.py
./deploy/requirements.txt
./docs/product_brief.md
./eval/__pycache__/eval_neurobait.cpython-310.pyc
./eval/__pycache__/make_report.cpython-310.pyc
./eval/eval_neurobait.py
./eval/make_report.py
./local-dev/HANDOFF.md
./local-dev/github-hf.svg
./local-dev/log_dev.md
./model-card/README.md
./scripts/__pycache__/validate_dataset.cpython-310.pyc
./scripts/validate_dataset.py
./train/__pycache__/modal_train.cpython-310.pyc
./train/__pycache__/train_core.cpython-310.pyc
./train/modal_train.py
./train/train_core.py


`.git` ternyata bukan direktori normal yang bisa dihapus (`Device or resource busy`), kemungkinan bagian dari workaround/sandbox. Saya akan pakai Git metadata alternatif di `.git-local/` dengan `--git-dir=.git-local --work-tree=.` supaya operasi Git tetap bisa berjalan tanpa menyentuh `.git` tersebut.


Input:
*** Begin Patch
*** Update File: .gitignore
@@
 # Local development.
+.git-local/
 local-dev/
 .venv/
 __pycache__/
*** End Patch


Success. Updated the following files:
M .gitignore

@@ -12,2 +12,3 @@
 # Local development.
+.git-local/
 local-dev/


Output:
Exit code: 0
Wall time: 0.1 seconds
Output:
Success. Updated the following files:
M .gitignore


git --git-dir=.git-local --work-tree=. init -b main


Output:
Chunk ID: 787532
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 27
Output:
Initialized empty Git repository in /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git-local/


Output:
Chunk ID: 4cfeae
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 81
Output:
[
  {
    "path": "data/train.jsonl",
    "rows": 270,
    "turns": {
      "system": 270,
      "user": 1356,
      "assistant": 1356
    },
    "errors": []
  },
  {
    "path": "data/eval.jsonl",
    "rows": 30,
    "turns": {
      "system": 30,
      "user": 164,
      "assistant": 164
    },
    "errors": []
  }
]


Output:
Chunk ID: 12f487
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Git alternatif sudah terinisialisasi di `.git-local/`, dataset validator dan syntax check masih lulus. Saya akan set remote GitHub dan cek file mana yang akan masuk staging, memastikan `data/` dan `local-dev/` tetap tidak ikut.


git --git-dir=.git-local --work-tree=. remote add origin https://github.com/Subrata15/NeuroBait-Build-Small-Model.git


git --git-dir=.git-local --work-tree=. status --short --ignored


Output:
Chunk ID: 46db1a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: ff951a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 56
Output:
?? .gitignore
?? README.md
?? deploy/
?? docs/
?? eval/
?? model-card/
?? scripts/
?? train/
!! .git-local/
!! data/
!! deploy/__pycache__/
!! eval/__pycache__/
!! local-dev/
!! scripts/__pycache__/
!! train/__pycache__/


Status staging sudah sesuai: yang untracked hanya source/docs, sedangkan `data/`, `local-dev/`, `.git-local/`, dan `__pycache__` ter-ignore. Saya akan buat commit awal dan coba push ke remote yang kamu buat.


git --git-dir=.git-local --work-tree=. add .


git --git-dir=.git-local --work-tree=. config user.name && git --git-dir=.git-local --work-tree=. config user.email


Output:
Chunk ID: f7f128
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: 5f88c2
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 12
Output:
Subrata15
harisabektidickysubrata@yahoo.co.id


Git identity sudah tersedia. Saya lanjut commit dengan pesan awal yang menjelaskan scaffold proyek.


git --git-dir=.git-local --work-tree=. status --short


git --git-dir=.git-local --work-tree=. commit -m "Initial NeuroBait training and deployment scaffold"


Output:
Chunk ID: 418587
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 67
Output:
A  .gitignore
A  README.md
A  deploy/README.md
A  deploy/app.py
A  deploy/requirements.txt
A  docs/product_brief.md
A  eval/eval_neurobait.py
A  eval/make_report.py
A  model-card/README.md
A  scripts/validate_dataset.py
A  train/modal_train.py
A  train/train_core.py


Output:
Chunk ID: b05939
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 147
Output:
[main (root-commit) 615f454] Initial NeuroBait training and deployment scaffold
 12 files changed, 982 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 README.md
 create mode 100644 deploy/README.md
 create mode 100644 deploy/app.py
 create mode 100644 deploy/requirements.txt
 create mode 100644 docs/product_brief.md
 create mode 100644 eval/eval_neurobait.py
 create mode 100644 eval/make_report.py
 create mode 100644 model-card/README.md
 create mode 100644 scripts/validate_dataset.py
 create mode 100644 train/modal_train.py
 create mode 100644 train/train_core.py


Commit awal sudah dibuat. Sekarang saya coba push ke `origin/main`; kalau sandbox memblokir network/auth, saya akan minta approval sesuai mekanisme.


git --git-dir=.git-local --work-tree=. push -u origin main


Output:
Chunk ID: 697b57
Wall time: 0.0000 seconds
Process exited with code 128
Original token count: 31
Output:
fatal: unable to access 'https://github.com/Subrata15/NeuroBait-Build-Small-Model.git/': Could not resolve host: github.com


Push gagal karena sandbox tidak bisa resolve `github.com`. Saya akan rerun push dengan eskalasi network agar bisa mengakses GitHub.


Do you want to allow network access to push the initial scaffold commit to the GitHub repo you provided?


Output:
Chunk ID: af3d09
Wall time: 1.5348 seconds
Process exited with code 0
Original token count: 41
Output:
To https://github.com/Subrata15/NeuroBait-Build-Small-Model.git
 * [new branch]      main -> main
Branch 'main' set up to track remote branch 'main' from 'origin'.


Approved command prefix saved:
- ["git", "--git-dir=.git-local", "--work-tree=.", "push", "-u", "origin", "main"]


Push berhasil ke GitHub. Saya cek status terakhir untuk memastikan working tree source bersih dan file lokal tetap ignored.


git --git-dir=.git-local --work-tree=. status --short --branch --ignored


git --git-dir=.git-local --work-tree=. log --oneline --decorate -1


Output:
Chunk ID: ad19b0
Wall time: 0.0001 seconds
Process exited with code 0
Original token count: 38
Output:
## main...origin/main
!! .git-local/
!! data/
!! deploy/__pycache__/
!! eval/__pycache__/
!! local-dev/
!! scripts/__pycache__/
!! train/__pycache__/


Output:
Chunk ID: 2ed903
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 22
Output:
615f454 (HEAD -> main, origin/main) Initial NeuroBait training and deployment scaffold


Sudah beres.

Saya pindahkan local-only files ke:
- [local-dev/HANDOFF.md](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/local-dev/HANDOFF.md:1)
- [local-dev/github-hf.svg](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/local-dev/github-hf.svg:1)
- [local-dev/log_dev.md](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/local-dev/log_dev.md:1)

Saya juga update `.gitignore` supaya `local-dev/`, `data/`, `.git-local/`, dan cache tidak ikut GitHub.

Git note: `.git` bawaan workspace bukan repo normal dan tidak bisa dihapus karena `Device or resource busy`, jadi saya pakai workaround Git metadata di `.git-local/`. Remote sudah diset ke:

`https://github.com/Subrata15/NeuroBait-Build-Small-Model`

Commit dan push sudah berhasil:
`615f454 Initial NeuroBait training and deployment scaffold`

Status terakhir bersih untuk tracked files; yang tersisa hanya ignored local files seperti `data/`, `local-dev/`, dan `__pycache__/`.


Summary: auto


ok, saya cek di repo kok tidak ada codex as contributor ya? just ask. kalau claude biasanya otomatis ada


Question: GitHub contributors list commit author committer co-authored-by bot appears contributor

Question: GitHub contributors list commit author committer co-authored-by bot appears contributor


Question: GitHub contributors list commit author committer co-authored-by bot appears contributor


Karena commit tadi author-nya masih Git config lokal kamu:

```text
Subrata15 <harisabektidickysubrata@yahoo.co.id>
```

Saya tidak menambahkan trailer `Co-authored-by:` untuk Codex, jadi GitHub tidak punya metadata untuk menampilkan Codex sebagai contributor/co-author.

Claude biasanya terlihat karena beberapa workflow Claude otomatis menambahkan trailer commit seperti:

```text
Co-authored-by: Claude <...>
```

GitHub memang mendukung multi-author commit lewat trailer `Co-authored-by:` di commit message. Referensi: GitHub Docs soal “Creating a commit with multiple authors” menjelaskan format trailer itu. sumber: https://docs.github.com/en/pull-requests/committing-changes-to-your-project/creating-and-editing-commits/creating-a-commit-with-multiple-authors

Untuk commit berikutnya, kalau kamu mau ada attribution Codex, kita bisa tambahkan trailer di commit message. Tapi untuk commit yang sudah dipush, perlu amend + force push kalau ingin menambahkan co-author ke commit awal. Saya sarankan jangan rewrite dulu kecuali memang requirement lomba eksplisit harus ada di commit pertama.


ok untuk next saja berarti. ok then next sepertinya kita perlu retrain ya? tapi modal.com punya cara yang unik dalam menggunakan gpu mereka, berbeda dengan runpod. coba kamu cek, atau menurut kamu ada yang mau dikerjakan dulu sebelum itu?


Saya akan cek dokumentasi Modal yang relevan dulu, karena API Modal cukup sering berubah dan scaffold kita harus cocok dengan cara mereka build image, mount file, volume, secret, dan GPU request. Setelah itu saya akan bandingkan dengan `train/modal_train.py` yang sekarang dan sebutkan apa yang perlu dibereskan sebelum training berbiaya.


Question: site:modal.com/docs Modal GPU function volumes secrets add_local_file pip_install current docs

Question: site:modal.com/docs Modal GPU function volumes secrets add_local_file pip_install current docs

site:modal.com/docs Modal App function gpu H100 Volume Secret add_local_file 2026

site:modal.com/docs Modal machine learning fine tune huggingface gpu volumes


Question: site:modal.com/docs Modal GPU function volumes secrets add_local_file pip_install current docs

site:modal.com/docs Modal App function gpu H100 Volume Secret add_local_file 2026

site:modal.com/docs Modal machine learning fine tune huggingface gpu volumes


Question: site:modal.com/docs modal.Image add_local_file docs

Question: site:modal.com/docs modal.Image add_local_file docs

site:modal.com/docs modal.Image add_local_dir copy local files image


Question: site:modal.com/docs modal.Image add_local_file docs

site:modal.com/docs modal.Image add_local_dir copy local files image


Question: PyPI transformers 5.5.0 trl 0.24 peft 0.19.1 unsloth 2026.6.1

Question: PyPI transformers 5.5.0 trl 0.24 peft 0.19.1 unsloth 2026.6.1


Question: PyPI transformers 5.5.0 trl 0.24 peft 0.19.1 unsloth 2026.6.1


Saya menemukan dari docs Modal: pola kita secara umum benar, tetapi sebelum retrain sebaiknya ada satu fungsi preflight remote yang hanya cek image, GPU, versi library, secret HF, dan `nvidia-smi` tanpa mulai training. Ini mengurangi risiko kredit Modal habis karena error dependency di menit awal training.


Input:
*** Begin Patch
*** Update File: train/modal_train.py
@@
 out_vol = modal.Volume.from_name("neurobait-out", create_if_missing=True)

+@app.function(
+    image=image,
+    gpu="H100",
+    timeout=10 * 60,
+    volumes={"/root/.cache/huggingface": hf_cache, "/out": out_vol},
+    secrets=[modal.Secret.from_name("huggingface")],
+)
+def preflight() -> dict:
+    """Check the remote Modal runtime before spending a full training run."""
+
+    import os
+    import subprocess
+
+    import torch
+    import transformers
+    import trl
+    import peft
+    import datasets
+    import unsloth
+
+    nvidia_smi = subprocess.run(
+        ["nvidia-smi"],
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+
+    gpu = {}
+    if torch.cuda.is_available():
+        capability = torch.cuda.get_device_capability()
+        gpu = {
+            "name": torch.cuda.get_device_name(0),
+            "capability": f"sm_{capability[0]}{capability[1]}",
+            "device_count": torch.cuda.device_count(),
+        }
+
+    return {
+        "hf_token_present": bool(os.environ.get("HF_TOKEN")),
+        "torch": torch.__version__,
+        "cuda": torch.version.cuda,
+        "cuda_available": torch.cuda.is_available(),
+        "gpu": gpu,
+        "transformers": transformers.__version__,
+        "trl": trl.__version__,
+        "peft": peft.__version__,
+        "datasets": datasets.__version__,
+        "unsloth": unsloth.__version__,
+        "nvidia_smi": nvidia_smi.stdout[-4000:],
+        "nvidia_smi_stderr": nvidia_smi.stderr[-1000:],
+    }
+
+
 @app.function(
     image=image,
     gpu="H100",
     timeout=60 * 60,
@@
 @app.local_entrypoint()
 def main(
+    run_preflight: bool = False,
+    run_train: bool = True,
     push_lora: bool = False,
     merge: bool = False,
     lora_repo: str = DEFAULT_LORA_REPO,
     merged_repo: str = DEFAULT_MERGED_REPO,
 ) -> None:
-    summary = train.remote()
-    print(summary)
+    if run_preflight:
+        print("preflight:", preflight.remote())
+    if run_train:
+        summary = train.remote()
+        print("train:", summary)
     if push_lora:
         print("lora repo:", push_lora_to_hub.remote(lora_repo))
     if merge:
*** End Patch


Success. Updated the following files:
M train/modal_train.py

@@ -39,2 +39,54 @@
     gpu="H100",
+    timeout=10 * 60,
+    volumes={"/root/.cache/huggingface": hf_cache, "/out": out_vol},
+    secrets=[modal.Secret.from_name("huggingface")],
+)
+def preflight() -> dict:
+    """Check the remote Modal runtime before spending a full training run."""
+
+    import os
+    import subprocess
+
+    import torch
+    import transformers
+    import trl
+    import peft
+    import datasets
+    import unsloth
+
+    nvidia_smi = subprocess.run(
+        ["nvidia-smi"],
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+
+    gpu = {}
+    if torch.cuda.is_available():
+        capability = torch.cuda.get_device_capability()
+        gpu = {
+            "name": torch.cuda.get_device_name(0),
+            "capability": f"sm_{capability[0]}{capability[1]}",
+            "device_count": torch.cuda.device_count(),
+        }
+
+    return {
+        "hf_token_present": bool(os.environ.get("HF_TOKEN")),
+        "torch": torch.__version__,
+        "cuda": torch.version.cuda,
+        "cuda_available": torch.cuda.is_available(),
+        "gpu": gpu,
+        "transformers": transformers.__version__,
+        "trl": trl.__version__,
+        "peft": peft.__version__,
+        "datasets": datasets.__version__,
+        "unsloth": unsloth.__version__,
+        "nvidia_smi": nvidia_smi.stdout[-4000:],
+        "nvidia_smi_stderr": nvidia_smi.stderr[-1000:],
+    }
+
+
+@app.function(
+    image=image,
+    gpu="H100",
     timeout=60 * 60,
@@ -115,2 +167,4 @@
 def main(
+    run_preflight: bool = False,
+    run_train: bool = True,
     push_lora: bool = False,
@@ -120,4 +174,7 @@
 ) -> None:
-    summary = train.remote()
-    print(summary)
+    if run_preflight:
+        print("preflight:", preflight.remote())
+    if run_train:
+        summary = train.remote()
+        print("train:", summary)
     if push_lora:


Output:
Exit code: 0
Wall time: 0.1 seconds
Output:
Success. Updated the following files:
M train/modal_train.py


Saya juga akan update README/log supaya urutan sebelum retrain eksplisit: validate dataset lokal, Modal preflight, baru train. Lalu saya commit-push dengan trailer Codex untuk attribution commit berikutnya.


Input:
*** Begin Patch
*** Update File: README.md
@@
 Run training:

 ```bash
 modal run train/modal_train.py
 ```

+Remote preflight before paid training:
+
+```bash
+modal run train/modal_train.py --run-preflight --no-run-train
+```
+
 Optional upload/merge:

 ```bash
 modal run train/modal_train.py --push-lora
 modal run train/modal_train.py --push-lora --merge
*** Update File: local-dev/log_dev.md
@@
 ## Immediate Next Actions

-1. Fix/init Git state in this folder if needed.
-2. Set remote:
-   `git remote add origin https://github.com/Subrata15/NeuroBait-Build-Small-Model.git`
-3. Confirm ignored files are not staged:
-   `data/`, `local-dev/`, `__pycache__/`.
-4. Commit scaffold.
-5. Push to GitHub.
-6. Install/auth Modal locally if not already done.
-7. Create Modal secret:
+1. Install/auth Modal locally if not already done.
+2. Create Modal secret:
    `modal secret create huggingface HF_TOKEN=...`
-8. Run:
+3. Run local dataset validation:
+   `python scripts/validate_dataset.py`
+4. Run remote Modal preflight:
+   `modal run train/modal_train.py --run-preflight --no-run-train`
+5. Run training:
    `modal run train/modal_train.py`
+6. After training, run eval and only then push adapter/merged model.

 ## Open Decisions
*** End Patch


Success. Updated the following files:
M README.md
M local-dev/log_dev.md

@@ -114,14 +114,12 @@

-1. Fix/init Git state in this folder if needed.
-2. Set remote:
-   `git remote add origin https://github.com/Subrata15/NeuroBait-Build-Small-Model.git`
-3. Confirm ignored files are not staged:
-   `data/`, `local-dev/`, `__pycache__/`.
-4. Commit scaffold.
-5. Push to GitHub.
-6. Install/auth Modal locally if not already done.
-7. Create Modal secret:
+1. Install/auth Modal locally if not already done.
+2. Create Modal secret:
    `modal secret create huggingface HF_TOKEN=...`
-8. Run:
+3. Run local dataset validation:
+   `python scripts/validate_dataset.py`
+4. Run remote Modal preflight:
+   `modal run train/modal_train.py --run-preflight --no-run-train`
+5. Run training:
    `modal run train/modal_train.py`
+6. After training, run eval and only then push adapter/merged model.

@@ -72,2 +72,8 @@

+Remote preflight before paid training:
+
+```bash
+modal run train/modal_train.py --run-preflight --no-run-train
+```
+
 Optional upload/merge:


Output:
Exit code: 0
Wall time: 0.2 seconds
Output:
Success. Updated the following files:
M README.md
M local-dev/log_dev.md


README update masuk; perubahan di `local-dev/log_dev.md` tetap lokal dan tidak akan ikut commit. Sekarang saya jalankan compile check dan status Git untuk memastikan hanya file publik yang berubah.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m py_compile train/modal_train.py


Output:
Chunk ID: 00832f
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: 0d1576
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 42
Output:
 M README.md
 M train/modal_train.py
!! .git-local/
!! data/
!! deploy/__pycache__/
!! eval/__pycache__/
!! local-dev/
!! scripts/__pycache__/
!! train/__pycache__/


Status sesuai: yang akan dipush hanya README dan Modal wrapper. Saya akan commit perubahan ini dengan co-author Codex sebagai attribution untuk commit berikutnya, lalu push.


git --git-dir=.git-local --work-tree=. add README.md train/modal_train.py


git --git-dir=.git-local --work-tree=. diff --cached --stat


Output:
Chunk ID: 556051
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: e3a658
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 42
Output:
 README.md            |  6 ++++++
 train/modal_train.py | 61 ++++++++++++++++++++++++++++++++++++++++++++++++++--
 2 files changed, 65 insertions(+), 2 deletions(-)


Saya akan commit sekarang. Untuk attribution, saya pakai trailer `Co-authored-by: Codex <codex@openai.com>`; ini memberi jejak di commit message, walau apakah GitHub menautkannya sebagai contributor tergantung email/account yang dikenali GitHub.


git --git-dir=.git-local --work-tree=. commit -m "Add Modal preflight entrypoint" -m "Co-authored-by: Codex <codex@openai.com>"


Output:
Chunk ID: 0f47a5
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 25
Output:
[main adb20e4] Add Modal preflight entrypoint
 2 files changed, 65 insertions(+), 2 deletions(-)


Commit sudah dibuat. Saya push ke GitHub menggunakan remote yang sudah tracking.


git --git-dir=.git-local --work-tree=. push


Output:
Chunk ID: 9a7349
Wall time: 0.0000 seconds
Process exited with code 128
Original token count: 31
Output:
fatal: unable to access 'https://github.com/Subrata15/NeuroBait-Build-Small-Model.git/': Could not resolve host: github.com


Push biasa kena sandbox DNS lagi. Saya rerun dengan eskalasi network seperti push sebelumnya.


Do you want to allow network access to push the Modal preflight commit to GitHub?

git --git-dir=.git-local --work-tree=. push


Output:
Chunk ID: 469258
Wall time: 1.4907 seconds
Process exited with code 0
Original token count: 25
Output:
To https://github.com/Subrata15/NeuroBait-Build-Small-Model.git
   615f454..adb20e4  main -> main


Approved command prefix saved:
- ["git", "--git-dir=.git-local", "--work-tree=.", "push"]


Push berhasil. Saya cek status akhir supaya tidak ada file publik tertinggal.


git --git-dir=.git-local --work-tree=. log --oneline --decorate -2


Output:
Chunk ID: 940e38
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 38
Output:
## main...origin/main
!! .git-local/
!! data/
!! deploy/__pycache__/
!! eval/__pycache__/
!! local-dev/
!! scripts/__pycache__/
!! train/__pycache__/


Output:
Chunk ID: 1610d3
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 32
Output:
adb20e4 (HEAD -> main, origin/main) Add Modal preflight entrypoint
615f454 Initial NeuroBait training and deployment scaffold


Menurut saya sebelum retrain, yang paling perlu adalah **Modal preflight**, bukan langsung training.

Saya cek docs Modal terbaru: pola utama kita valid:
- GPU dipilih via `@app.function(gpu="H100")`; Modal juga bisa auto-upgrade H100 ke H200 tanpa ubah biaya GPU request.
- `modal.Volume.from_name(..., create_if_missing=True)` + explicit `commit()` masih pola yang benar.
- Secret dipasang via `secrets=[modal.Secret.from_name(...)]`.
- Local files via `Image.add_local_file(...)` masih API yang benar.

Yang saya tambahkan:
- `preflight()` di [train/modal_train.py](/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/train/modal_train.py:37)
- README command:
  ```bash
  modal run train/modal_train.py --run-preflight --no-run-train
  ```

Preflight ini cek remote runtime Modal sebelum training:
- HF token ada atau tidak
- CUDA available
- GPU name/capability/device count
- `nvidia-smi`
- versi `torch`, `transformers`, `trl`, `peft`, `datasets`, `unsloth`

Saya juga commit dan push:
- `adb20e4 Add Modal preflight entrypoint`
- commit message sudah pakai trailer:
  ```text
  Co-authored-by: Codex <codex@openai.com>
  ```

Urutan berikutnya yang saya sarankan:
1. Pastikan Modal CLI sudah auth.
2. Buat secret `huggingface`.
3. Jalankan dataset validation lokal.
4. Jalankan Modal preflight.
5. Baru retrain kalau preflight bersih.


Summary: auto


ok good. bisakah kamu coba dulu koneksi ke modal? misalnya cek gpu atau jalankan gpu by dummy komputasi untuk memastikan? ini seperti sandbox. lalu berikan reportnya disini hasil percobaannya


Saya akan lakukan smoke test Modal yang ringan dan terpisah dari training: satu function GPU H100 yang cek `nvidia-smi`, CUDA, lalu matrix multiply kecil dengan PyTorch. Ini tidak menyentuh dataset/model dan tidak menjalankan Unsloth, jadi risikonya jauh lebih kecil daripada preflight training image.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m modal --version


Output:
Chunk ID: 445329
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Output:
Chunk ID: 497591
Wall time: 0.0000 seconds
Process exited with code 1
Original token count: 22
Output:
/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python: No module named modal


Modal CLI belum terpasang di venv dev. Saya install `modal` ke venv yang kamu tunjuk, lalu lanjut smoke test.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m pip install modal


Output:
Chunk ID: 0c8ce3
Wall time: 7.8186 seconds
Process exited with code 1
Original token count: 484
Output:
WARNING: The directory '/home/haris-subrata/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7c0c0b8f2350>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/modal/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7c0c0b8f2560>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/modal/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7c0c0b8f2740>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/modal/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7c0c0b8f28f0>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/modal/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7c0c0b8f2aa0>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/modal/
ERROR: Could not find a version that satisfies the requirement modal (from versions: none)
ERROR: No matching distribution found for modal


Install gagal karena sandbox DNS. Saya ulangi dengan akses network yang dieskalasi agar pip bisa mengambil Modal dari PyPI.


Do you want to allow network access to install the Modal CLI into the shared LLM development venv for the requested Modal smoke test?


Output:
Chunk ID: 08413e
Wall time: 9.7686 seconds
Process exited with code 0
Original token count: 1699
Output:
Collecting modal
  Downloading modal-1.4.3-py3-none-any.whl (826 kB)
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Requirement already satisfied: click~=8.1 in /media/haris-subrata/Work/llm/agent_analytics/venv/lib/python3.10/site-packages (from modal) (8.3.1)
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Collecting async-timeout<6.0,>=4.0
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Collecting yarl<2.0,>=1.17.0
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Collecting aiosignal>=1.4.0
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Collecting frozenlist>=1.1.1
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Collecting mdurl~=0.1
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Installing collected packages: types-certifi, types-toml, toml, synchronicity, pygments, protobuf, propcache, multidict, mdurl, hyperframe, hpack, frozenlist, certifi, cbor2, attrs, async-timeout, aiohappyeyeballs, yarl, markdown-it-py, h2, aiosignal, watchfiles, rich, grpclib, aiohttp, modal
Successfully installed aiohappyeyeballs-2.6.2 aiohttp-3.14.1 aiosignal-1.4.0 async-timeout-5.0.1 attrs-26.1.0 cbor2-6.1.2 certifi-2026.5.20 frozenlist-1.8.0 grpclib-0.4.9 h2-4.3.0 hpack-4.1.0 hyperframe-6.1.0 markdown-it-py-4.2.0 mdurl-0.1.2 modal-1.4.3 multidict-6.7.1 propcache-0.5.2 protobuf-6.33.6 pygments-2.20.0 rich-15.0.0 synchronicity-0.12.3 toml-0.10.2 types-certifi-2021.10.8.3 types-toml-0.10.8.20260518 watchfiles-1.2.0 yarl-1.24.2


Approved command prefix saved:
- ["/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python", "-m", "pip", "install"]


Modal 1.4.3 sudah terpasang. Saya buat smoke script lokal di `local-dev/` agar tidak ikut GitHub, lalu jalankan via Modal.


Input:
*** Begin Patch
*** Add File: local-dev/modal_gpu_smoke.py
+"""Minimal Modal GPU smoke test.
+
+Run:
+  /media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m modal run local-dev/modal_gpu_smoke.py
+"""
+
+from __future__ import annotations
+
+import modal
+
+
+app = modal.App("neurobait-gpu-smoke")
+
+image = (
+    modal.Image.debian_slim(python_version="3.11")
+    .pip_install("torch==2.6.0", index_url="https://download.pytorch.org/whl/cu124")
+)
+
+
+@app.function(image=image, gpu="H100", timeout=10 * 60)
+def gpu_smoke() -> dict:
+    import subprocess
+    import time
+
+    import torch
+
+    nvidia_smi = subprocess.run(
+        ["nvidia-smi"],
+        check=False,
+        capture_output=True,
+        text=True,
+    )
+
+    started = time.perf_counter()
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    a = torch.randn((2048, 2048), device=device, dtype=torch.float16)
+    b = torch.randn((2048, 2048), device=device, dtype=torch.float16)
+    c = a @ b
+    if device == "cuda":
+        torch.cuda.synchronize()
+    elapsed = time.perf_counter() - started
+
+    capability = torch.cuda.get_device_capability() if torch.cuda.is_available() else None
+    return {
+        "torch": torch.__version__,
+        "cuda": torch.version.cuda,
+        "cuda_available": torch.cuda.is_available(),
+        "device": device,
+        "device_count": torch.cuda.device_count(),
+        "device_name": torch.cuda.get_device_name(0) if torch.cuda.is_available() else None,
+        "capability": f"sm_{capability[0]}{capability[1]}" if capability else None,
+        "matmul_shape": list(c.shape),
+        "matmul_dtype": str(c.dtype),
+        "matmul_seconds": round(elapsed, 4),
+        "checksum": round(float(c[0, 0].detach().cpu()), 4),
+        "nvidia_smi": nvidia_smi.stdout[-3000:],
+        "nvidia_smi_stderr": nvidia_smi.stderr[-1000:],
+    }
+
+
+@app.local_entrypoint()
+def main() -> None:
+    print(gpu_smoke.remote())
*** End Patch


Success. Updated the following files:
A local-dev/modal_gpu_smoke.py

"""Minimal Modal GPU smoke test.

Run:
  /media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m modal run local-dev/modal_gpu_smoke.py
"""

from __future__ import annotations

import modal

app = modal.App("neurobait-gpu-smoke")

image = (
    modal.Image.debian_slim(python_version="3.11")
    .pip_install("torch==2.6.0", index_url="https://download.pytorch.org/whl/cu124")
)

@app.function(image=image, gpu="H100", timeout=10 * 60)
def gpu_smoke() -> dict:
    import subprocess
    import time

    import torch

    nvidia_smi = subprocess.run(
        ["nvidia-smi"],
        check=False,
        capture_output=True,
        text=True,
    )

    started = time.perf_counter()
    device = "cuda" if torch.cuda.is_available() else "cpu"
    a = torch.randn((2048, 2048), device=device, dtype=torch.float16)
    b = torch.randn((2048, 2048), device=device, dtype=torch.float16)
    c = a @ b
    if device == "cuda":
        torch.cuda.synchronize()
    elapsed = time.perf_counter() - started

    capability = torch.cuda.get_device_capability() if torch.cuda.is_available() else None
    return {
        "torch": torch.__version__,
        "cuda": torch.version.cuda,
        "cuda_available": torch.cuda.is_available(),
        "device": device,
        "device_count": torch.cuda.device_count(),
        "device_name": torch.cuda.get_device_name(0) if torch.cuda.is_available() else None,
        "capability": f"sm_{capability[0]}{capability[1]}" if capability else None,
        "matmul_shape": list(c.shape),
        "matmul_dtype": str(c.dtype),
        "matmul_seconds": round(elapsed, 4),
        "checksum": round(float(c[0, 0].detach().cpu()), 4),
        "nvidia_smi": nvidia_smi.stdout[-3000:],
        "nvidia_smi_stderr": nvidia_smi.stderr[-1000:],
    }

@app.local_entrypoint()
def main() -> None:
    print(gpu_smoke.remote())


Output:
Exit code: 0
Wall time: 0.1 seconds
Output:
Success. Updated the following files:
A local-dev/modal_gpu_smoke.py


Smoke script siap. Saya cek versi Modal CLI, lalu mulai `modal run`. Kalau belum login/auth, hasilnya akan kelihatan dari error Modal.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m modal profile current


Output:
Chunk ID: 79d7b1
Wall time: 0.3215 seconds
Process exited with code 0
Original token count: 7
Output:
modal client version: 1.4.3


Output:
Chunk ID: bf5d0b
Wall time: 0.2938 seconds
Process exited with code 0
Original token count: 2
Output:
default


Modal CLI tersedia dan profile aktif `default`. Saya jalankan GPU smoke test sekarang; ini akan build image minimal PyTorch dan request H100 sebentar.


/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python -m modal run local-dev/modal_gpu_smoke.py


Output:
Chunk ID: 1f7322
Wall time: 30.0012 seconds
Process running with session ID 9942
Original token count: 0
Output:


Modal run sedang berjalan; belum ada output dalam 30 detik pertama, kemungkinan sedang build/pull image PyTorch atau menunggu GPU. Saya poll sampai selesai.


Output:
Chunk ID: 94d3d3
Wall time: 30.0012 seconds
Process running with session ID 9942
Original token count: 0
Output:


Masih belum ada stdout dari Modal CLI. Saya lanjut poll; kalau ini berhenti lama, kemungkinan build step torch sedang berjalan tanpa progress line di PTY capture.


Output:
Chunk ID: 24cb6f
Wall time: 60.0019 seconds
Process running with session ID 9942
Original token count: 0
Output:


Sudah sekitar dua menit tanpa output. Saya beri sedikit waktu lagi; setelah itu kalau masih kosong saya akan hentikan sesi dan ganti strategi ke script yang lebih kecil atau cek auth/connectivity Modal.


Output:
Chunk ID: fb26fd
Wall time: 60.0006 seconds
Process running with session ID 9942
Original token count: 0
Output:


Masih kosong setelah beberapa menit, jadi saya hentikan run ini agar tidak menggantung. Saya akan cek dengan command Modal yang lebih sederhana dulu (`modal app list` atau sejenis) untuk memastikan koneksi/auth sebelum request GPU.


Output: write_stdin failed: stdin is closed for this session; rerun exec_command with tty=true to keep stdin open


Output:
Chunk ID: ab5fd0
Wall time: 5.0008 seconds
Process running with session ID 9942
Original token count: 0
Output:


Sesi tool tidak menerima stdin meskipun proses masih tercatat berjalan. Saya cek proses Modal lokal dan hentikan proses smoke test yang menggantung.


pgrep -af "modal run local-dev/modal_gpu_smoke.py"


Output:
Chunk ID: 62759e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 3721
Output:
1 bwrap --new-session --die-with-parent --ro-bind / / --dev /dev --bind /tmp /tmp --perms 555 --tmpfs /tmp/.git --remount-ro /tmp/.git --perms 555 --tmpfs /tmp/.agents --remount-ro /tmp/.agents --perms 555 --tmpfs /tmp/.codex --remount-ro /tmp/.codex --bind /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex --unshare-user --unshare-pid --unshare-net --proc /proc -- /home/haris-subrata/.codex/tmp/arg0/codex-arg05BwRBh/codex-linux-sandbox --sandbox-policy-cwd /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --command-cwd /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --permission-profile {"type":"managed","file_system":{"type":"restricted","entries":[{"path":{"type":"special","value":{"kind":"root"}},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model"},"access":"write"},{"path":{"type":"special","value":{"kind":"slash_tmp"}},"access":"write"},{"path":{"type":"special","value":{"kind":"tmpdir"}},"access":"write"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git"},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents"},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex"},"access":"read"}]},"network":"restricted"} --apply-seccomp-then-exec -- /bin/bash -c __CODEX_SNAPSHOT_OVERRIDE_SET_0="${CODEX_THREAD_ID+x}" __CODEX_SNAPSHOT_OVERRIDE_0="${CODEX_THREAD_ID-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_0="${ALL_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_0="${ALL_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_1="${BUNDLE_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_1="${BUNDLE_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_2="${BUNDLE_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_2="${BUNDLE_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_3="${BUNDLE_NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_3="${BUNDLE_NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_4="${BUNDLE_SSL_CA_CERT+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_4="${BUNDLE_SSL_CA_CERT-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_5="${CODEX_CA_CERTIFICATE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_5="${CODEX_CA_CERTIFICATE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_6="${CODEX_NETWORK_ALLOW_LOCAL_BINDING+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_6="${CODEX_NETWORK_ALLOW_LOCAL_BINDING-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_7="${CODEX_NETWORK_PROXY_ACTIVE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_7="${CODEX_NETWORK_PROXY_ACTIVE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_8="${CURL_CA_BUNDLE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_8="${CURL_CA_BUNDLE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_9="${DOCKER_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_9="${DOCKER_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_10="${DOCKER_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_10="${DOCKER_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_11="${ELECTRON_GET_USE_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_11="${ELECTRON_GET_USE_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_12="${FTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_12="${FTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_13="${GIT_SSL_CAINFO+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_13="${GIT_SSL_CAINFO-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_14="${HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_14="${HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_15="${HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_15="${HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_16="${NODE_EXTRA_CA_CERTS+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_16="${NODE_EXTRA_CA_CERTS-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_17="${NODE_USE_ENV_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_17="${NODE_USE_ENV_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_18="${NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_18="${NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_19="${NPM_CONFIG_CAFILE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_19="${NPM_CONFIG_CAFILE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_20="${NPM_CONFIG_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_20="${NPM_CONFIG_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_21="${NPM_CONFIG_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_21="${NPM_CONFIG_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_22="${NPM_CONFIG_NOPROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_22="${NPM_CONFIG_NOPROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_23="${NPM_CONFIG_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_23="${NPM_CONFIG_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_24="${PIP_CERT+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_24="${PIP_CERT-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_25="${PIP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_25="${PIP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_26="${REQUESTS_CA_BUNDLE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_26="${REQUESTS_CA_BUNDLE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_27="${SSL_CERT_FILE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_27="${SSL_CERT_FILE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_28="${WSS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_28="${WSS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_29="${WS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_29="${WS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_30="${YARN_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_30="${YARN_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_31="${YARN_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_31="${YARN_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_32="${YARN_NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_32="${YARN_NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_33="${all_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_33="${all_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_34="${ftp_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_34="${ftp_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_35="${http_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_35="${http_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_36="${https_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_36="${https_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_37="${no_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_37="${no_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_38="${npm_config_cafile+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_38="${npm_config_cafile-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_39="${npm_config_http_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_39="${npm_config_http_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_40="${npm_config_https_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_40="${npm_config_https_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_41="${npm_config_noproxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_41="${npm_config_noproxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_42="${npm_config_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_42="${npm_config_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_43="${ws_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_43="${ws_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_44="${wss_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_44="${wss_proxy-}" __CODEX_SNAPSHOT_PROXY_ENV_SET="${CODEX_NETWORK_PROXY_ACTIVE+x}"  if . '/home/haris-subrata/.codex/shell_snapshots/019ea6af-db29-7801-ac01-46dfc88f90b0.1780913003326624269.sh' >/dev/null 2>&1; then :; fi  if [ -n "${__CODEX_SNAPSHOT_OVERRIDE_SET_0}" ]; then export CODEX_THREAD_ID="${__CODEX_SNAPSHOT_OVERRIDE_0}"; else unset CODEX_THREAD_ID; fi if [ -n "$__CODEX_SNAPSHOT_PROXY_ENV_SET" ] || [ -n "${CODEX_NETWORK_PROXY_ACTIVE+x}" ]; then if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_0}" ]; then export ALL_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_0}"; else unset ALL_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_1}" ]; then export BUNDLE_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_1}"; else unset BUNDLE_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_2}" ]; then export BUNDLE_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_2}"; else unset BUNDLE_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_3}" ]; then export BUNDLE_NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_3}"; else unset BUNDLE_NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_4}" ]; then export BUNDLE_SSL_CA_CERT="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_4}"; else unset BUNDLE_SSL_CA_CERT; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_5}" ]; then export CODEX_CA_CERTIFICATE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_5}"; else unset CODEX_CA_CERTIFICATE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_6}" ]; then export CODEX_NETWORK_ALLOW_LOCAL_BINDING="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_6}"; else unset CODEX_NETWORK_ALLOW_LOCAL_BINDING; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_7}" ]; then export CODEX_NETWORK_PROXY_ACTIVE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_7}"; else unset CODEX_NETWORK_PROXY_ACTIVE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_8}" ]; then export CURL_CA_BUNDLE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_8}"; else unset CURL_CA_BUNDLE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_9}" ]; then export DOCKER_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_9}"; else unset DOCKER_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_10}" ]; then export DOCKER_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_10}"; else unset DOCKER_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_11}" ]; then export ELECTRON_GET_USE_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_11}"; else unset ELECTRON_GET_USE_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_12}" ]; then export FTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_12}"; else unset FTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_13}" ]; then export GIT_SSL_CAINFO="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_13}"; else unset GIT_SSL_CAINFO; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_14}" ]; then export HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_14}"; else unset HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_15}" ]; then export HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_15}"; else unset HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_16}" ]; then export NODE_EXTRA_CA_CERTS="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_16}"; else unset NODE_EXTRA_CA_CERTS; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_17}" ]; then export NODE_USE_ENV_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_17}"; else unset NODE_USE_ENV_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_18}" ]; then export NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_18}"; else unset NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_19}" ]; then export NPM_CONFIG_CAFILE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_19}"; else unset NPM_CONFIG_CAFILE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_20}" ]; then export NPM_CONFIG_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_20}"; else unset NPM_CONFIG_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_21}" ]; then export NPM_CONFIG_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_21}"; else unset NPM_CONFIG_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_22}" ]; then export NPM_CONFIG_NOPROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_22}"; else unset NPM_CONFIG_NOPROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_23}" ]; then export NPM_CONFIG_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_23}"; else unset NPM_CONFIG_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_24}" ]; then export PIP_CERT="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_24}"; else unset PIP_CERT; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_25}" ]; then export PIP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_25}"; else unset PIP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_26}" ]; then export REQUESTS_CA_BUNDLE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_26}"; else unset REQUESTS_CA_BUNDLE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_27}" ]; then export SSL_CERT_FILE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_27}"; else unset SSL_CERT_FILE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_28}" ]; then export WSS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_28}"; else unset WSS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_29}" ]; then export WS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_29}"; else unset WS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_30}" ]; then export YARN_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_30}"; else unset YARN_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_31}" ]; then export YARN_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_31}"; else unset YARN_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_32}" ]; then export YARN_NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_32}"; else unset YARN_NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_33}" ]; then export all_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_33}"; else unset all_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_34}" ]; then export ftp_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_34}"; else unset ftp_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_35}" ]; then export http_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_35}"; else unset http_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_36}" ]; then export https_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_36}"; else unset https_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_37}" ]; then export no_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_37}"; else unset no_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_38}" ]; then export npm_config_cafile="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_38}"; else unset npm_config_cafile; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_39}" ]; then export npm_config_http_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_39}"; else unset npm_config_http_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_40}" ]; then export npm_config_https_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_40}"; else unset npm_config_https_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_41}" ]; then export npm_config_noproxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_41}"; else unset npm_config_noproxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_42}" ]; then export npm_config_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_42}"; else unset npm_config_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_43}" ]; then export ws_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_43}"; else unset ws_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_44}" ]; then export wss_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_44}"; else unset wss_proxy; fi fi  exec '/bin/bash' -c 'pgrep -af "modal run local-dev/modal_gpu_smoke.py"'


Output:
Chunk ID: 06d389
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 3713
Output:
1 bwrap --new-session --die-with-parent --ro-bind / / --dev /dev --bind /tmp /tmp --perms 555 --tmpfs /tmp/.git --remount-ro /tmp/.git --perms 555 --tmpfs /tmp/.agents --remount-ro /tmp/.agents --perms 555 --tmpfs /tmp/.codex --remount-ro /tmp/.codex --bind /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents --perms 555 --tmpfs /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex --remount-ro /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex --unshare-user --unshare-pid --unshare-net --proc /proc -- /home/haris-subrata/.codex/tmp/arg0/codex-arg05BwRBh/codex-linux-sandbox --sandbox-policy-cwd /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --command-cwd /media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model --permission-profile {"type":"managed","file_system":{"type":"restricted","entries":[{"path":{"type":"special","value":{"kind":"root"}},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model"},"access":"write"},{"path":{"type":"special","value":{"kind":"slash_tmp"}},"access":"write"},{"path":{"type":"special","value":{"kind":"tmpdir"}},"access":"write"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.git"},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.agents"},"access":"read"},{"path":{"type":"path","path":"/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model/.codex"},"access":"read"}]},"network":"restricted"} --apply-seccomp-then-exec -- /bin/bash -c __CODEX_SNAPSHOT_OVERRIDE_SET_0="${CODEX_THREAD_ID+x}" __CODEX_SNAPSHOT_OVERRIDE_0="${CODEX_THREAD_ID-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_0="${ALL_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_0="${ALL_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_1="${BUNDLE_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_1="${BUNDLE_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_2="${BUNDLE_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_2="${BUNDLE_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_3="${BUNDLE_NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_3="${BUNDLE_NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_4="${BUNDLE_SSL_CA_CERT+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_4="${BUNDLE_SSL_CA_CERT-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_5="${CODEX_CA_CERTIFICATE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_5="${CODEX_CA_CERTIFICATE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_6="${CODEX_NETWORK_ALLOW_LOCAL_BINDING+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_6="${CODEX_NETWORK_ALLOW_LOCAL_BINDING-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_7="${CODEX_NETWORK_PROXY_ACTIVE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_7="${CODEX_NETWORK_PROXY_ACTIVE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_8="${CURL_CA_BUNDLE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_8="${CURL_CA_BUNDLE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_9="${DOCKER_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_9="${DOCKER_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_10="${DOCKER_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_10="${DOCKER_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_11="${ELECTRON_GET_USE_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_11="${ELECTRON_GET_USE_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_12="${FTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_12="${FTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_13="${GIT_SSL_CAINFO+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_13="${GIT_SSL_CAINFO-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_14="${HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_14="${HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_15="${HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_15="${HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_16="${NODE_EXTRA_CA_CERTS+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_16="${NODE_EXTRA_CA_CERTS-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_17="${NODE_USE_ENV_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_17="${NODE_USE_ENV_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_18="${NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_18="${NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_19="${NPM_CONFIG_CAFILE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_19="${NPM_CONFIG_CAFILE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_20="${NPM_CONFIG_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_20="${NPM_CONFIG_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_21="${NPM_CONFIG_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_21="${NPM_CONFIG_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_22="${NPM_CONFIG_NOPROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_22="${NPM_CONFIG_NOPROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_23="${NPM_CONFIG_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_23="${NPM_CONFIG_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_24="${PIP_CERT+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_24="${PIP_CERT-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_25="${PIP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_25="${PIP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_26="${REQUESTS_CA_BUNDLE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_26="${REQUESTS_CA_BUNDLE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_27="${SSL_CERT_FILE+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_27="${SSL_CERT_FILE-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_28="${WSS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_28="${WSS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_29="${WS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_29="${WS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_30="${YARN_HTTPS_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_30="${YARN_HTTPS_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_31="${YARN_HTTP_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_31="${YARN_HTTP_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_32="${YARN_NO_PROXY+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_32="${YARN_NO_PROXY-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_33="${all_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_33="${all_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_34="${ftp_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_34="${ftp_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_35="${http_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_35="${http_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_36="${https_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_36="${https_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_37="${no_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_37="${no_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_38="${npm_config_cafile+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_38="${npm_config_cafile-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_39="${npm_config_http_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_39="${npm_config_http_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_40="${npm_config_https_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_40="${npm_config_https_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_41="${npm_config_noproxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_41="${npm_config_noproxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_42="${npm_config_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_42="${npm_config_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_43="${ws_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_43="${ws_proxy-}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_44="${wss_proxy+x}" __CODEX_SNAPSHOT_PROXY_OVERRIDE_44="${wss_proxy-}" __CODEX_SNAPSHOT_PROXY_ENV_SET="${CODEX_NETWORK_PROXY_ACTIVE+x}"  if . '/home/haris-subrata/.codex/shell_snapshots/019ea6af-db29-7801-ac01-46dfc88f90b0.1780913003326624269.sh' >/dev/null 2>&1; then :; fi  if [ -n "${__CODEX_SNAPSHOT_OVERRIDE_SET_0}" ]; then export CODEX_THREAD_ID="${__CODEX_SNAPSHOT_OVERRIDE_0}"; else unset CODEX_THREAD_ID; fi if [ -n "$__CODEX_SNAPSHOT_PROXY_ENV_SET" ] || [ -n "${CODEX_NETWORK_PROXY_ACTIVE+x}" ]; then if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_0}" ]; then export ALL_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_0}"; else unset ALL_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_1}" ]; then export BUNDLE_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_1}"; else unset BUNDLE_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_2}" ]; then export BUNDLE_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_2}"; else unset BUNDLE_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_3}" ]; then export BUNDLE_NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_3}"; else unset BUNDLE_NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_4}" ]; then export BUNDLE_SSL_CA_CERT="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_4}"; else unset BUNDLE_SSL_CA_CERT; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_5}" ]; then export CODEX_CA_CERTIFICATE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_5}"; else unset CODEX_CA_CERTIFICATE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_6}" ]; then export CODEX_NETWORK_ALLOW_LOCAL_BINDING="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_6}"; else unset CODEX_NETWORK_ALLOW_LOCAL_BINDING; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_7}" ]; then export CODEX_NETWORK_PROXY_ACTIVE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_7}"; else unset CODEX_NETWORK_PROXY_ACTIVE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_8}" ]; then export CURL_CA_BUNDLE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_8}"; else unset CURL_CA_BUNDLE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_9}" ]; then export DOCKER_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_9}"; else unset DOCKER_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_10}" ]; then export DOCKER_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_10}"; else unset DOCKER_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_11}" ]; then export ELECTRON_GET_USE_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_11}"; else unset ELECTRON_GET_USE_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_12}" ]; then export FTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_12}"; else unset FTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_13}" ]; then export GIT_SSL_CAINFO="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_13}"; else unset GIT_SSL_CAINFO; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_14}" ]; then export HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_14}"; else unset HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_15}" ]; then export HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_15}"; else unset HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_16}" ]; then export NODE_EXTRA_CA_CERTS="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_16}"; else unset NODE_EXTRA_CA_CERTS; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_17}" ]; then export NODE_USE_ENV_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_17}"; else unset NODE_USE_ENV_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_18}" ]; then export NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_18}"; else unset NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_19}" ]; then export NPM_CONFIG_CAFILE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_19}"; else unset NPM_CONFIG_CAFILE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_20}" ]; then export NPM_CONFIG_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_20}"; else unset NPM_CONFIG_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_21}" ]; then export NPM_CONFIG_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_21}"; else unset NPM_CONFIG_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_22}" ]; then export NPM_CONFIG_NOPROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_22}"; else unset NPM_CONFIG_NOPROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_23}" ]; then export NPM_CONFIG_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_23}"; else unset NPM_CONFIG_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_24}" ]; then export PIP_CERT="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_24}"; else unset PIP_CERT; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_25}" ]; then export PIP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_25}"; else unset PIP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_26}" ]; then export REQUESTS_CA_BUNDLE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_26}"; else unset REQUESTS_CA_BUNDLE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_27}" ]; then export SSL_CERT_FILE="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_27}"; else unset SSL_CERT_FILE; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_28}" ]; then export WSS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_28}"; else unset WSS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_29}" ]; then export WS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_29}"; else unset WS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_30}" ]; then export YARN_HTTPS_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_30}"; else unset YARN_HTTPS_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_31}" ]; then export YARN_HTTP_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_31}"; else unset YARN_HTTP_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_32}" ]; then export YARN_NO_PROXY="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_32}"; else unset YARN_NO_PROXY; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_33}" ]; then export all_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_33}"; else unset all_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_34}" ]; then export ftp_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_34}"; else unset ftp_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_35}" ]; then export http_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_35}"; else unset http_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_36}" ]; then export https_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_36}"; else unset https_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_37}" ]; then export no_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_37}"; else unset no_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_38}" ]; then export npm_config_cafile="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_38}"; else unset npm_config_cafile; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_39}" ]; then export npm_config_http_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_39}"; else unset npm_config_http_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_40}" ]; then export npm_config_https_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_40}"; else unset npm_config_https_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_41}" ]; then export npm_config_noproxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_41}"; else unset npm_config_noproxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_42}" ]; then export npm_config_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_42}"; else unset npm_config_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_43}" ]; then export ws_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_43}"; else unset ws_proxy; fi if [ -n "${__CODEX_SNAPSHOT_PROXY_OVERRIDE_SET_44}" ]; then export wss_proxy="${__CODEX_SNAPSHOT_PROXY_OVERRIDE_44}"; else unset wss_proxy; fi fi  exec '/bin/bash' -c 'pgrep -af "modal"'


Run pertama kemungkinan macet karena network sandbox, bukan karena Modal GPU. Saya akan hentikan proses yang match smoke script lalu ulangi `modal run` dengan eskalasi network.


Output:
Chunk ID: f1b96c
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:


Proses smoke sebelumnya sudah dihentikan. Saya ulangi dengan akses network penuh supaya Modal CLI bisa connect ke service Modal.


Do you want to allow network access to run a short Modal H100 GPU smoke test with a small PyTorch matrix multiply?


Output:
Chunk ID: 98b5b5
Wall time: 0.2716 seconds
Process exited with code 1
Original token count: 181
Output:
╭─ Error ──────────────────────────────────────────────────────────────────────╮
│ Token missing. Could not authenticate client. If you have token credentials, │
│ see modal.com/docs/reference/modal.config for setup help. If you are a new   │
│ user, register an account at modal.com, then run `modal token new`.          │
╰──────────────────────────────────────────────────────────────────────────────╯


Approved command prefix saved:
- ["/media/haris-subrata/Work/llm/agent_analytics/venv/bin/python", "-m", "modal", "run"]


Modal CLI connect berhasil sampai tahap auth, jadi masalahnya bukan instalasi CLI atau DNS lagi. Smoke test belum jalan di GPU karena Modal token belum tersedia di environment/profile `default`; tidak ada GPU job yang dieksekusi.