fix(review): 모델 풀 부트스트랩 교착 해소

.github/workflows/opencode-review.yml

@@ -1915,6 +1915,7 @@ jobs:
             local changed_file="$1"
             case "${GH_REPOSITORY}:${changed_file}" in
               ContextualWisdomLab/.github:.github/workflows/opencode-review.yml | \
+              ContextualWisdomLab/.github:.github/workflows/noema-review.yml | \
               ContextualWisdomLab/.github:.github/workflows/pr-review-merge-scheduler.yml | \
               ContextualWisdomLab/.github:.github/workflows/strix.yml | \
               ContextualWisdomLab/.github:.jules/bolt.md | \
@@ -1924,18 +1925,28 @@ jobs:
               ContextualWisdomLab/.github:opencode.jsonc | \
               ContextualWisdomLab/.github:scripts/ci/changed_file_syntax_gate.py | \
               ContextualWisdomLab/.github:scripts/ci/javascript_coverage_gate.py | \
+              ContextualWisdomLab/.github:scripts/ci/materialize_pr_review_source.py | \
+              ContextualWisdomLab/.github:scripts/ci/noema_review_gate.py | \
               ContextualWisdomLab/.github:scripts/ci/opencode_review_approve_gate.sh | \
+              ContextualWisdomLab/.github:scripts/ci/opencode_dispatch_status.py | \
+              ContextualWisdomLab/.github:scripts/ci/opencode_existing_approval_gate.py | \
               ContextualWisdomLab/.github:scripts/ci/pr_head_replay_guard.py | \
+              ContextualWisdomLab/.github:scripts/ci/pr_review_fix_scheduler.py | \
               ContextualWisdomLab/.github:scripts/ci/pr_review_merge_scheduler.py | \
               ContextualWisdomLab/.github:scripts/ci/run_opencode_review_model_pool.sh | \
               ContextualWisdomLab/.github:scripts/ci/opencode_review_normalize_output.py | \
               ContextualWisdomLab/.github:scripts/ci/strix_quick_gate.sh | \
               ContextualWisdomLab/.github:scripts/ci/validate_opencode_failed_check_review.sh | \
               ContextualWisdomLab/.github:tests/test_changed_file_syntax_gate.py | \
               ContextualWisdomLab/.github:tests/test_javascript_coverage_gate.py | \
+              ContextualWisdomLab/.github:tests/test_materialize_pr_review_source.py | \
+              ContextualWisdomLab/.github:tests/test_noema_review_gate.py | \
               ContextualWisdomLab/.github:tests/test_opencode_agent_contract.py | \
+              ContextualWisdomLab/.github:tests/test_opencode_existing_approval_gate.py | \
               ContextualWisdomLab/.github:tests/test_opencode_model_pool_runner.py | \
+              ContextualWisdomLab/.github:tests/test_opencode_security_boundaries.py | \
               ContextualWisdomLab/.github:tests/test_pr_head_replay_guard.py | \
+              ContextualWisdomLab/.github:tests/test_pr_review_fix_scheduler.py | \
               ContextualWisdomLab/.github:tests/test_pr_review_fix_scheduler_coverage.py | \
               ContextualWisdomLab/.github:tests/test_pr_review_merge_scheduler.py | \
               ContextualWisdomLab/.github:tests/test_required_workflow_queue_contract.py | \
@@ -3506,25 +3517,25 @@ jobs:
         continue-on-error: true
         env:
           STRIX_GITHUB_MODELS_TOKEN: ${{ secrets.STRIX_GITHUB_MODELS_TOKEN || github.token }}
-          # Native OpenAI backend for the lead review model. GitHub Models
+          # Native OpenAI backend for the direct review model. GitHub Models
           # rate-limits every request and caps bodies at ~4000 tokens, so the
           # rate-starved shared pool never returned a verdict; hitting
-          # api.openai.com directly with the org OPENAI_API_KEY gives the lead
+          # api.openai.com directly with the org OPENAI_API_KEY gives that
           # model a working, un-throttled backend. Resolves {env:OPENAI_API_KEY}
           # in the opencode.jsonc "openai" provider block.
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
           SHARE: "false"
           NPM_CONFIG_IGNORE_SCRIPTS: "true"
           NO_COLOR: "1"
-          # High-sensitivity review candidates only. DeepSeek V3 has been the
-          # most reliable first-pass reviewer in the org queue, then the pool
-          # falls through to the direct GPT-5.6 Luna slot, then the full-size
-          # GPT-4.1 long-context endpoint and provider-specific GPT/o3 fallbacks.
+          # High-sensitivity review candidates only. GPT-4.1 is first because it
+          # was the only provider to return a parseable control artifact during
+          # the latest current-head exhaustion incident; DeepSeek remains the
+          # first fallback but cannot monopolize a full 90-minute cadence slot.
           # The direct-OpenAI slot runs GPT-5.6 Luna: the newest family's
           # cost-efficient tier, cheaper than the legacy gpt-5 it replaced
           # ($1/$6 vs $1.25/$10 per 1M tokens) so the org OpenAI budget
           # stretches further between top-ups.
-          OPENCODE_MODEL_CANDIDATES: "github-models/deepseek/deepseek-v3-0324 openai/gpt-5.6-luna github-models/openai/gpt-4.1 github-models/openai/gpt-5 github-models/openai/gpt-5-chat github-models/openai/o3 github-models/deepseek/deepseek-r1-0528 github-models/deepseek/deepseek-r1"
+          OPENCODE_MODEL_CANDIDATES: "github-models/openai/gpt-4.1 github-models/deepseek/deepseek-v3-0324 openai/gpt-5.6-luna github-models/openai/gpt-5 github-models/openai/gpt-5-chat github-models/openai/o3 github-models/deepseek/deepseek-r1-0528 github-models/deepseek/deepseek-r1"
           # One attempt per model, then fall through to the next model. Retrying
           # the SAME model 5x let a rate-limited/hung leader consume the whole
           # step, so the pool never reached a healthy fallback model.
@@ -3561,6 +3572,10 @@ jobs:
           # larger. Keep the exact runtime failure visible without spending a
           # full medium/large cadence slot after the long-context candidate.
           OPENCODE_GITHUB_GPT5_RUN_TIMEOUT_SECONDS: "45"
+          # DeepSeek returned no provider detail while consuming two complete
+          # 90-minute slots. Five minutes preserves a useful fallback window
+          # while allowing the remaining independent providers to run.
+          OPENCODE_GITHUB_DEEPSEEK_RUN_TIMEOUT_SECONDS: "300"
           OPENCODE_DYNAMIC_MAX_CYCLES: "0"
           CENTRAL_REVIEW_PROCESS_FALLBACK_ELIGIBLE: ${{ steps.central_review_process_fallback_scope.outputs.eligible || 'false' }}
           CENTRAL_REVIEW_PROCESS_FALLBACK_SCOPE_LABEL: ${{ steps.central_review_process_fallback_scope.outputs.scope_label || 'unsupported' }}

scripts/ci/run_opencode_review_model_pool.sh

@@ -346,6 +346,9 @@ cap_model_run_timeout() {
 	github-models/openai/gpt-5 | github-models/openai/gpt-5-chat)
 		cap_seconds="$(env_integer_or_default OPENCODE_GITHUB_GPT5_RUN_TIMEOUT_SECONDS 45)"
 		;;
+	github-models/deepseek/*)
+		cap_seconds="$(env_integer_or_default OPENCODE_GITHUB_DEEPSEEK_RUN_TIMEOUT_SECONDS 300)"
+		;;
 	*)
 		printf '%s\n' "$run_timeout_seconds"
 		return 0
@@ -548,7 +551,7 @@ main() {
 				uncapped_run_timeout="$OPENCODE_RUN_TIMEOUT_SECONDS"
 				OPENCODE_RUN_TIMEOUT_SECONDS="$(cap_model_run_timeout "$model_candidate" "$OPENCODE_RUN_TIMEOUT_SECONDS")"
 				if [ "$OPENCODE_RUN_TIMEOUT_SECONDS" -lt "$uncapped_run_timeout" ]; then
-					printf 'OpenCode %s runtime cap selected %ss instead of %ss because this installation has returned a constrained request-body limit for that endpoint.\n' \
+					printf 'OpenCode %s runtime cap selected %ss instead of %ss because the configured provider-specific cap is lower than the cadence timeout.\n' \
 						"$model_candidate" "$OPENCODE_RUN_TIMEOUT_SECONDS" "$uncapped_run_timeout"
 				fi
 				export OPENCODE_RUN_TIMEOUT_SECONDS

tests/test_opencode_agent_contract.py

@@ -103,9 +103,9 @@ def test_opencode_model_pool_sets_high_effort_for_capable_candidates():
 
     assert candidate_pairs
     assert candidate_pairs == [
+        ["github-models", "openai/gpt-4.1"],
         ["github-models", "deepseek/deepseek-v3-0324"],
         ["openai", "gpt-5.6-luna"],
-        ["github-models", "openai/gpt-4.1"],
         ["github-models", "openai/gpt-5"],
         ["github-models", "openai/gpt-5-chat"],
         ["github-models", "openai/o3"],
@@ -115,8 +115,8 @@ def test_opencode_model_pool_sets_high_effort_for_capable_candidates():
     assert direct_openai_models == ["gpt-5.6-luna"]
     assert set(github_candidate_models).issubset(set(github_models))
     assert github_candidate_models == [
-        "deepseek/deepseek-v3-0324",
         "openai/gpt-4.1",
+        "deepseek/deepseek-v3-0324",
         "openai/gpt-5",
         "openai/gpt-5-chat",
         "openai/o3",
@@ -939,6 +939,20 @@ def test_workflow_provisions_sandbox_tool_and_reviewer_agent():
         in workflow
     )
     assert "tests/test_opencode_agent_contract.py | \\" in workflow
+    for central_review_path in (
+        ".github/workflows/noema-review.yml",
+        "scripts/ci/materialize_pr_review_source.py",
+        "scripts/ci/noema_review_gate.py",
+        "scripts/ci/opencode_dispatch_status.py",
+        "scripts/ci/opencode_existing_approval_gate.py",
+        "scripts/ci/pr_review_fix_scheduler.py",
+        "tests/test_materialize_pr_review_source.py",
+        "tests/test_noema_review_gate.py",
+        "tests/test_opencode_existing_approval_gate.py",
+        "tests/test_opencode_security_boundaries.py",
+        "tests/test_pr_review_fix_scheduler.py",
+    ):
+        assert f"ContextualWisdomLab/.github:{central_review_path}" in workflow
     assert (
         "ContextualWisdomLab/appguardrail:scripts/ci/collect_org_security_failures.py"
         in workflow
@@ -1090,9 +1104,9 @@ def test_workflow_provisions_sandbox_tool_and_reviewer_agent():
         in workflow
     )
     assert (
-        'OPENCODE_MODEL_CANDIDATES: "github-models/deepseek/deepseek-v3-0324 '
+        'OPENCODE_MODEL_CANDIDATES: "github-models/openai/gpt-4.1 '
+        "github-models/deepseek/deepseek-v3-0324 "
         "openai/gpt-5.6-luna "
-        "github-models/openai/gpt-4.1 "
         "github-models/openai/gpt-5 "
         "github-models/openai/gpt-5-chat "
         "github-models/openai/o3 "
@@ -1105,6 +1119,7 @@ def test_workflow_provisions_sandbox_tool_and_reviewer_agent():
     assert 'OPENCODE_TOTAL_RETRY_BUDGET_SECONDS: "11700"' in workflow
     assert 'OPENCODE_POOL_STEP_TIMEOUT_SECONDS: "12000"' in workflow
     assert 'OPENCODE_POOL_MAX_CYCLES: "0"' in workflow
+    assert 'OPENCODE_GITHUB_DEEPSEEK_RUN_TIMEOUT_SECONDS: "300"' in workflow
     assert 'OPENCODE_DYNAMIC_REVIEW_CADENCE: "true"' in workflow
     assert (
         "OPENCODE_CHANGED_FILES_FILE: ${{ runner.temp }}/opencode-changed-files.txt"
@@ -1179,7 +1194,7 @@ def test_workflow_provisions_sandbox_tool_and_reviewer_agent():
     assert "while :" in model_pool_runner
     assert "should_skip_model_candidate" in model_pool_runner
     assert "cap_model_run_timeout" in model_pool_runner
-    assert "constrained request-body limit" in model_pool_runner
+    assert "configured provider-specific cap" in model_pool_runner
     assert "run_central_adversarial_harness" not in model_pool_runner
     assert "finish_pool_without_model" in model_pool_runner
     assert "central-current-head-adversarial-harness" not in model_pool_runner
@@ -1213,9 +1228,9 @@ def test_workflow_provisions_sandbox_tool_and_reviewer_agent():
         'OPENCODE_MODEL_CANDIDATES: "github-models/openai/gpt-5-nano"' not in workflow
     )
     assert (
-        'OPENCODE_MODEL_CANDIDATES: "github-models/deepseek/deepseek-v3-0324 '
+        'OPENCODE_MODEL_CANDIDATES: "github-models/openai/gpt-4.1 '
+        "github-models/deepseek/deepseek-v3-0324 "
         "openai/gpt-5.6-luna "
-        "github-models/openai/gpt-4.1 "
         "github-models/openai/gpt-5 "
         "github-models/openai/gpt-5-chat "
         "github-models/openai/o3 "

tests/test_opencode_model_pool_runner.py

@@ -654,7 +654,7 @@ def test_github_gpt5_runtime_cap_preserves_queue_budget(tmp_path: Path) -> None:
     assert result.returncode == 1
     assert (
         "OpenCode github-models/openai/gpt-5 runtime cap selected 3s instead of 9s "
-        "because this installation has returned a constrained request-body limit for that endpoint."
+        "because the configured provider-specific cap is lower than the cadence timeout."
     ) in result.stdout
     attempt_budget = re.search(
         r"OpenCode github-models/openai/gpt-5 attempt 1/1 using (\d+)s run timeout "
@@ -667,6 +667,34 @@ def test_github_gpt5_runtime_cap_preserves_queue_budget(tmp_path: Path) -> None:
     assert run_timeout <= remaining_budget <= 30
 
 
+def test_github_deepseek_runtime_cap_preserves_queue_budget(tmp_path: Path) -> None:
+    """No-output DeepSeek endpoints cannot consume a full cadence slot."""
+    result = run_failed_model(
+        tmp_path,
+        model_candidates="github-models/deepseek/deepseek-v3-0324",
+        extra_env={
+            "OPENCODE_GITHUB_DEEPSEEK_RUN_TIMEOUT_SECONDS": "2",
+            "OPENCODE_RUN_TIMEOUT_SECONDS": "9",
+        },
+    )
+
+    assert result.returncode == 1
+    assert (
+        "OpenCode github-models/deepseek/deepseek-v3-0324 runtime cap selected 2s "
+        "instead of 9s because the configured provider-specific cap is lower than "
+        "the cadence timeout."
+    ) in result.stdout
+    attempt_budget = re.search(
+        r"OpenCode github-models/deepseek/deepseek-v3-0324 attempt 1/1 using "
+        r"(\d+)s run timeout with (\d+)s retry budget remaining\.",
+        result.stdout,
+    )
+    assert attempt_budget is not None
+    run_timeout, remaining_budget = map(int, attempt_budget.groups())
+    assert run_timeout == 2
+    assert run_timeout <= remaining_budget <= 30
+
+
 def test_github_models_openai_prompt_references_evidence_without_inlining(
     tmp_path: Path,
 ) -> None: