Qwen Model Benchmark Suite

SSH GPU Triage

Score 86.9; coverage 5/8; commands 9; gen 57.4 tok/s. No safety/parser flags.

{
  "diagnosis": "The system is experiencing performance degradation likely due to llama.cpp falling back to CPU execution instead of utilizing the GPU via Vulkan backend, as evidenced by incorrect GPU VRAM usage and slow performance. The AMD Radeon AI PRO R9700 should be available for acceleration but isn't being leveraged.",
  "commands": [
    {
      "shell": "bash",
      "command": "ssh -F none -i C:\\Users\\TheJK\\Documents\\Codex\\2026-05-08\\i-want-you-to-ssh-into\\jkxeon_192_168_1_116_ed25519 [email protected] 'docker ps -a'",
      "why": "To check the status of the llama-cpp-server container and confirm it's running",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "ssh -F none -i C:\\Users\\TheJK\\Documents\\Codex\\2026-05-08\\i-want-you-to-ssh-into\\jkxeon_192_168_1_116_ed25519 [email protected] 'docker logs llama-cpp-server | grep -i vulkan'",
      "why": "To check if Vulkan backend is being initialized properly in the logs",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "ssh -F none -i C:\\Users\\TheJK\\Documents\\Codex\\2026-05-08\\i-want-you-to-ssh-into\\jkxeon_192_168_1_116_ed25519 [email protected] 'docker logs llama-cpp-server | grep -i cpu'",
      "why": "To verify if the system is falling back to CPU execution",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "ssh -F none -i C:\\Users\\TheJK\\Documents\\Codex\\2026-05-08\\i-want-you-to-ssh-into\\jkxeon_192_168_1_116_ed2

Safe Model Switch

Score 93.3; coverage 9/9; commands 6; gen 63.0 tok/s. No safety/parser flags.

{
  "plan": [
    "Backup current production container by renaming it",
    "Stop the current production container",
    "Start test container with new model image",
    "Verify /health endpoint of test container",
    "Verify /props endpoint of test container",
    "Run smoke completion test",
    "If any check fails, rollback to original container"
  ],
  "commands": [
    {
      "command": "docker rename llama-cpp-server llama-cpp-server-backup",
      "rollback": "docker rename llama-cpp-server-backup llama-cpp-server",
      "risk": "low"
    },
    {
      "command": "docker stop llama-cpp-server",
      "rollback": "docker start llama-cpp-server",
      "risk": "low"
    },
    {
      "command": "docker run -d --name llama-cpp-server -p 8080:8080 llama-cpp-server-vulkan:working-20260613",
      "rollback": "docker stop llama-cpp-server && docker rm llama-cpp-server",
      "risk": "medium"
    },
    {
      "command": "curl -f http://localhost:8080/health",
      "rollback": "docker stop llama-cpp-server && docker rm llama-cpp-server",
      "risk": "medium"
    },
    {
      "command": "curl -f http://localhost:8080/props",
      "rollback": "docker stop llama-cpp-server && docker rm llama-cpp-server",
      "risk": "medium"
    },
    {
      "command": "curl -X POST http://localhost:8080/completion -H \"Content-Type: application/json\" -d '{\"prompt\":\"test\",\"max_tokens\":5}'",
      "rollback": "docker stop llama-cpp-server && docker rm llama-cpp-server",
  

Incident Summary

Score 86.0; coverage 8/8; commands 0; gen 62.6 tok/s. No safety/parser flags.

- Use the exact terms: VRAM, GTT, RAM, swap, MTP, polling, idle power.
- Do not include any bullet points.
The summary should be a single sentence.
The user observed low GPU VRAM and high RAM/swap pressure during a long agent task, with the model eventually returning to VRAM after requests, while prompt cache was disabled to prevent VRAM/GTT pressure, and MTP models maintained high clocks/utilization during aggressive polling, with dashboard tracking VRAM, temperature, power, clock, tokens, and MTP acceptance.
Likely causes include aggressive polling leading to sustained MTP utilization, prompt cache being disabled causing VRAM/GTT pressure, RAM/swap pressure during extended tasks, and dashboard tracking metrics including VRAM, temperature, power, clock, tokens, and MTP acceptance.
Evidence to collect includes VRAM usage patterns during polling, RAM/swap pressure logs, MTP acceptance rates, and idle power consumption during task periods.
Mitigations involve enabling prompt cache to reduce VRAM/GTT pressure, reducing polling frequency to lower MTP utilization, monitoring RAM/swap pressure during long tasks, and adjusting idle power settings to manage GPU clocks.
Dashboard metrics to track include VRAM usage, temperature, power consumption, clock speeds, tokens processed, and MTP acceptance rates.
User message should reference the observed VRAM/GTT pressure, prompt cache being disabled, polling causing high MTP utilization, and dashboard tracking VRAM, temperature, power, clock

SSH GPU Triage

Score 91.2; coverage 6/8; commands 9; gen 93.7 tok/s. No safety/parser flags.

{
  "diagnosis": "The model slowdown and incorrect VRAM readings suggest the llama.cpp backend may have defaulted to CPU due to missing Vulkan drivers or incorrect environment variables. The ssh -F none flag ensures the specific SSH key and host configuration are used without config file overrides, guaranteeing the connection targets the intended server securely. We will verify container health, inspect logs for backend errors, and check environment variables for GPU backend selection.",
  "commands": [
    {
      "shell": "bash",
      "command": "docker ps -a",
      "why": "Verify if the llama-cpp-server container is running or stopped.",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "docker logs llama-cpp-server --tail 100",
      "why": "Check recent logs for GPU initialization errors or CPU fallback messages.",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "curl -s http://localhost:8080/v1/models",
      "why": "Verify the llama.cpp API endpoint is responding and accessible.",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "curl -s http://localhost:8090/",
      "why": "Check the web dashboard status for any visual indicators of backend issues.",
      "safe": true
    },
    {
      "shell": "bash",
      "command": "docker exec llama-cpp-server env | grep -i backend",
      "why": "Inspect environment variables to confirm the backend is set to Vulkan.",
      "safe": true
    },
    {
      

Safe Model Switch

Score 23.9; coverage 1/9; commands 0; gen 94.0 tok/s. JSON parse failed

- Return strict JSON only, no markdown.
- Include commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must

Incident Summary

Score 50.6; coverage 7/8; commands 0; gen 93.7 tok/s. JSON parse failed

- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of the answer.
- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of the answer.
- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of the answer.
- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of the answer.
- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of the answer.
- Include at least 4 dashboard metrics.
- Mention at least 4 mitigations.
- Mention prompt cache, VRAM/GTT/RAM movement, MTP acceptance, and polling/idle power.
- Do not claim certainty where evidence is incomplete.
- Keep reasoning out of 

SSH GPU Triage

Score 50.6; coverage 7/8; commands 0; gen 95.2 tok/s. JSON parse failed

<think>
Thinking Process:

1.  **Analyze the Request:**
    *   **Role:** AgentSSH planning model.
    *   **Platform:** Windows workstation.
    *   **User Issue:** Model got slow, GPU VRAM looks wrong, suspect llama.cpp fell back to CPU.
    *   **Environment:**
        *   Windows client.
        *   Linux server: [email protected].
        *   SSH Config: `ssh -F none -i C:\Users\TheJK\Documents\Codex\2026-05-08\i-want-you-to-ssh-into\jkxeon_192_168_1_116_ed25519`
        *   Server Container: `llama-cpp-server`.
        *   Web Dashboard: Port 8090.
        *   Llama Endpoint: `localhost:8080` on Linux server.
        *   Hardware: AMD Radeon AI PRO R9700, Vulkan backend expected.
    *   **Output Format:** Strict JSON only, no markdown.
    *   **Constraints:**
        *   5 to 9 commands.
        *   Prefer read-only diagnostics first.
        *   Check docker state, llama health, model props, logs, GPU/Vulkan evidence, CPU fallback evidence.
        *   Avoid destructive commands.
        *   Mention why `ssh -F none` matters.
        *   Keep reasoning out of the answer (only in JSON fields).

2.  **Determine the Diagnosis:**
    *   The user suspects a fallback to CPU due to slowness and incorrect VRAM reporting.
    *   Need to verify if the container is running, if the model is loaded, if the backend is Vulkan, and if logs indicate CPU usage.
    *   SSH config uses `-F none` to bypass default config files, ensuring the specific key path is used without interfe

Safe Model Switch

Score 23.9; coverage 1/9; commands 0; gen 96.1 tok/s. JSON parse failed

- Return strict JSON only, no markdown.
- Include rollback commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include rollback commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include rollback commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include rollback commands for backup/rename, stop, test run, health check, props check, smoke completion, and rollback.
- Commands must be shell-realistic for Linux over SSH.
- Include at least 2 explicit rollback commands.
- Must avoid broad deletes and pruning.
- Keep reasoning out of the answer.
- Return strict JSON only, no markdown.
- Include rollback commands for backup/rename, stop, test run, health check, props check, sm

Incident Summary

Score 41.9; coverage 5/8; commands 0; gen 96.1 tok/s. JSON parse failed

- Include dashboard metrics: VRAM, temperature, power, clock, tokens, MTP acceptance.
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_causes: ["..."]
- Include evidence_to_collect: ["..."]
- Include mitigations: ["..."]
- Include dashboard_metrics: ["..."]
- Include summary: "..."
- Include user_message: "..."
- Include likely_ca

"q", {}, now=1000)
    snapshot = scheduler12.snapshot()
    scheduler13 = JobScheduler.load_snapshot(snapshot)
    assert scheduler13.get_job("job").job_id == "job"

    print("All tests passed.")
```

Critique: The design prioritizes simplicity and correctness over performance, using in-memory dictionaries for job storage. Cycle detection is limited to direct dependencies of the new job, which may miss indirect cycles in complex graphs. The retry mechanism uses a simple exponential backoff without jitter, which could lead to thundering herd problems in production. The snapshot format is JSON-serializable but does not include metadata like scheduler configuration. The `retry_due_jobs` method is somewhat redundant given that `next_job` already checks retry delays. The implementation lacks concurrency controls, making it unsuitable for multi-threaded environments without external locking.

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-moe-262k.candidate.py", line 255, in <module>
    scheduler.enqueue("j3", "q1", {}, dependencies=("j4",), now=1003)
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-moe-262k.candidate.py", line 52, in enqueue
    raise ValueError(f"Unknown dependency: {dep_id}")
ValueError: Unknown dependency: j4

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 995, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen3-coder-30b-a3b-256k-q8.candidate.py", line 23, in <module>
    class JobScheduler:
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen3-coder-30b-a3b-256k-q8.candidate.py", line 214, in JobScheduler
    def load_snapshot(cls, data: dict) -> JobScheduler:
                                          ^^^^^^^^^^^^
NameError: name 'JobScheduler' is not defined

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 995, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwopus36-35b-a3b-apex-mtp-262k.candidate.py", line 12, in <module>
    @dataclass
     ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1268, in dataclass
    return wrap(cls)
           ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1258, in wrap
    return _process_class(cls, init, repr, eq, order, unsafe_hash,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 983, in _process_class
    and _is_type(type

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 995, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-a3b-apex-mtp-262k.candidate.py", line 14, in <module>
    @dataclass
     ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1268, in dataclass
    return wrap(cls)
           ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1258, in wrap
    return _process_class(cls, init, repr, eq, order, unsafe_hash,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 983, in _process_class
    and _is_type(type, 

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 995, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-a3b-mtp-q4km-q8nextn-262k.candidate.py", line 14, in <module>
    @dataclass
     ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1268, in dataclass
    return wrap(cls)
           ^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 1258, in wrap
    return _process_class(cls, init, repr, eq, order, unsafe_hash,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/dataclasses.py", line 983, in _process_class
    and _is_typ

l.
Correct.

One detail: `next_job` returns Job | None.
Correct.

One detail: `get_job` returns Job | None.
Correct.

One detail: `list_jobs` returns list[Job].
Correct.

One detail: `snapshot` returns dict.
Correct.

One detail: `load_snapshot` returns JobScheduler.
Correct.

One detail: `enqueue` returns Job.
Correct.

One detail: `mark_succeeded` returns Job.
Correct.

One detail: `mark_failed` returns Job.
Correct.

One detail: `retry_due_jobs` returns list[Job].
Correct.

One detail: `cancel` returns bool.
Correct.

One detail: `next_job` returns Job | None.
Correct.

One detail: `get_job` returns Job | None.
Correct.

One detail: `list_jobs` returns list[Job].
Correct.

One detail: `snapshot` returns dict.
Correct.

One detail: `load_snapshot` returns JobScheduler.
Correct.

One detail: `enqueue` returns Job.
Correct.

One detail: `mark_succeeded` returns Job.
Correct.

One detail:

 Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay.

**Wait, Test 5 (Recursive Cancel) - `cancel` implementation**:
One edge case: `cancel` on job with dependents that are ...
Okay

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 24, in <module>
    assert jid(s.next_job("q", now=200)) == "b", "highest priority first"
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AssertionError: highest priority first

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/local-qwen3-6-35b-a3b-mtp-iq4-xs-q8nextn-gguf.candidate.py", line 354
    scheduler11 = JobScheduler()
    ^^^^^^^^^^^
SyntaxError: expected 'except' or 'finally' block

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-a3b-mtp-262k.candidate.py", line 8
    - Retry: exponential backoff 1000ms * 2 ** (attempts - 1).
                                    ^
SyntaxError: invalid decimal literal

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-27b-mtp-q5km-192k.candidate.py", line 1
    ```python
    ^
SyntaxError: invalid syntax

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen36-35b-a3b-opus47-apex-mtp-262k.candidate.py", line 4
    For the scheduler, I'll track jobs by ID and queue, maintain a dependency graph, and implement priority-based selection with FIFO tie-breaking. The retry logic needs exponential backoff (1000ms * 2^(attempts-1)), and cancellation should propagate recursively through dependents. I also ne

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen35-9b-agent-64k.candidate.py", line 1
    ```python
    ^
SyntaxError: invalid syntax

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen35-4b-agent-128k.candidate.py", line 23
    *   **Snapshot:** `pickle` is not allowed (no external packages, but `pickle` is stdlib). However, `json` is safer for "JSON-serializable dict" requirement. I'll use `json` for serialization/deserialization to ensure determinism and compatibility.
                                                      

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen35-9b-agent-128k.candidate.py", line 1
    ```python
    ^
SyntaxError: invalid syntax

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/qwen35-4b-agent-64k.candidate.py", line 28
    if __name__ == "__main__":
    ^
IndentationError: expected an indented block after class definition on line 25

Traceback (most recent call last):
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/hidden_scheduler_tests.py", line 10, in <module>
    spec.loader.exec_module(mod)
  File "<frozen importlib._bootstrap_external>", line 991, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1129, in get_code
  File "<frozen importlib._bootstrap_external>", line 1059, in source_to_code
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/models/benchmark-results/qwen-suite-r25-20260614-023836/local-qwopus3-6-27b-coder-mtp-q4-k-m-gguf.candidate.py", line 9
    5. Exponential backoff: 1000ms * 2 ** (attempts - 1)
                               ^
SyntaxError: invalid decimal literal