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Update to Codex Replay

Snapshot Oct 24, 2026 · 13:07 UTC · version 1.0.132

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Package file

Before

Sep 30, 2026 · 23:01 UTC

fd0b7569889dadd45fc99dae3665bd2cdb180e28926fb9563bf9112853aad664

After

Oct 24, 2026 · 13:07 UTC

d233c98d77f2ebea9aed72e4300cc69872440a46d180e81f0975b1a23bb527f6

Package file

Before

Sep 30, 2026 · 23:01 UTC

7523

After

Oct 24, 2026 · 13:07 UTC

34483

Package file

Before

Sep 30, 2026 · 23:01 UTC

{"sha256":"e2e4b208b8cf7e8c70b8b5bff0c23ed06269b31b9dfe02d4e52f88dec7e3f4ce","size":6951}

After

Oct 24, 2026 · 13:07 UTC

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Package file

Before

Sep 30, 2026 · 23:01 UTC

{"sha256":"0bdfdaa4e0671c2021959e7c6d1e642dc390bf7583ccc51f7eda3756a1e7af3f","size":9241}

After

Oct 24, 2026 · 13:07 UTC

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.codex-plugin/plugin.json →

OWNERS →

README.md →

TEMPEST.md →

assets/model-pricing.json →

docs/security-review/managed-network-settings.json →

docs/security-review/real-model-results.json →

integrity.json →

manual_tests/README.md →

manual_tests/egress_probe.py →

manual_tests/prompt_guard.py →

manual_tests/runtime_errors.py →

manual_tests/worker_isolation.py →

mcp/__pycache__/controller_constants.cpython-312.pyc →

mcp/__pycache__/final_results_receipt.cpython-312.pyc →

mcp/__pycache__/plugin_installations.cpython-312.pyc →

mcp/__pycache__/replay_batch.cpython-312.pyc →

mcp/__pycache__/replay_configuration.cpython-312.pyc →

mcp/__pycache__/server.cpython-312.pyc →

mcp/codex-worker.mjs →

mcp/controller-ranges.js →

mcp/controller.css →

mcp/controller.html →

mcp/replay_batch.py →

mcp/server.py →

mcp/worker-policy.json →

plans/MULTI_THREAD_REPLAY.md →

scripts/__pycache__/claude_code_sample_loader.cpython-312.pyc →

scripts/__pycache__/historical_discovery.cpython-312.pyc →

scripts/__pycache__/historical_discovery_capabilities.cpython-312.pyc →

scripts/__pycache__/historical_discovery_core.cpython-312.pyc →

scripts/__pycache__/historical_execution.cpython-312.pyc →

scripts/__pycache__/historical_file_selection.cpython-312.pyc →

scripts/__pycache__/historical_replay.cpython-312.pyc →

scripts/__pycache__/precompute_sample_configurations.cpython-312.pyc →

scripts/__pycache__/record_claude_code_samples.cpython-312.pyc →

scripts/__pycache__/verify_claude_sample.cpython-312.pyc →

scripts/historical_execution.py →

scripts/historical_replay.py →

scripts/metrics/2_start_controller.py →

scripts/metrics/3_report_start_metrics.py →

scripts/metrics/4_report_final_metrics.py →

scripts/metrics/__pycache__/3_report_start_metrics.cpython-312.pyc →

scripts/metrics/__pycache__/4_report_final_metrics.cpython-312.pyc →

scripts/metrics/__pycache__/replay_metrics_common.cpython-312.pyc →

scripts/metrics/replay_metrics_common.py →

skills/codex-replay/SKILL.md →

tests/__pycache__/test_claude_code_sample_loader.cpython-312.pyc →

tests/__pycache__/test_claude_sample_verification.cpython-312.pyc →

tests/__pycache__/test_controller_batch_ui.cpython-312.pyc →

tests/__pycache__/test_controller_explanations.cpython-312.pyc →

tests/__pycache__/test_controller_file_configuration.cpython-312.pyc →

tests/__pycache__/test_controller_installations.cpython-312.pyc →

tests/__pycache__/test_controller_range_ui.cpython-312.pyc →

tests/__pycache__/test_controller_ranges.cpython-312.pyc →

tests/__pycache__/test_controller_scoring.cpython-312.pyc →

tests/__pycache__/test_controller_search.cpython-312.pyc →

tests/__pycache__/test_controller_transcript_inference.cpython-312.pyc →

tests/__pycache__/test_historical_discovery.cpython-312.pyc →

tests/__pycache__/test_historical_discovery_capabilities.cpython-312.pyc →

tests/__pycache__/test_historical_execution.cpython-312.pyc →

tests/__pycache__/test_historical_file_selection.cpython-312.pyc →

tests/__pycache__/test_lean_replay.cpython-312.pyc →

tests/__pycache__/test_maintained_catalog.cpython-312.pyc →

tests/__pycache__/test_mcp_retry_resilience.cpython-312.pyc →

tests/__pycache__/test_mcp_server.cpython-312.pyc →

tests/__pycache__/test_mcp_server_models.cpython-312.pyc →

tests/__pycache__/test_node_runtime.cpython-312.pyc →

tests/__pycache__/test_plugin_contract.cpython-312.pyc →

tests/__pycache__/test_plugin_metrics_contract.cpython-312.pyc →

tests/__pycache__/test_record_claude_code_samples.cpython-312.pyc →

tests/__pycache__/test_replay_metrics.cpython-312.pyc →

tests/__pycache__/test_replay_ranges.cpython-312.pyc →

tests/__pycache__/test_report_explanations.cpython-312.pyc →

tests/__pycache__/test_reviewer_privacy.cpython-312.pyc →

tests/test_controller_auth.py →

tests/test_controller_installations.py →

tests/test_controller_range_ui.py →

tests/test_controller_scoring.py →

tests/test_historical_execution.py →

tests/test_mcp_server.py →

tests/test_mcp_server_models.py →

tests/test_node_runtime.py →

tests/test_replay_metrics.py →

worker/src/codex-worker.mjs →

worker/src/worker-policy.mjs →

worker/tests/codex-worker.test.mjs →

worker/tests/worker-policy.test.mjs →

tests/test_controller_scoring.py

− removed · + added

--- before
+++ after
@@ -6,19 +6,35 @@
 import subprocess
 import unittest
 from pathlib import Path
+from typing import TypedDict
 
 CONTROLLER_PATH = Path(__file__).resolve().parent.parent / "mcp" / "controller.html"
 
 
+class _MetricSummary(TypedDict):
+    winner: str | None
+    values: list[dict[str, str]]
+    detail: str
+
+
+class _OutcomeSummary(TypedDict):
+    price: _MetricSummary
+    quality: _MetricSummary
+    summary: str
+    score: str
+    detail: str
+
+
 def _render_outcome_summary(
     evaluation: dict[str, object],
     *,
     schema_version: int = 3,
     costs: dict[str, object] | None = None,
-) -> dict[str, object]:
+) -> _OutcomeSummary:
     harness = r"""
 const fs = require("node:fs");
 const source = fs.readFileSync(process.argv[1], "utf8");
+require(require("node:path").join(require("node:path").dirname(process.argv[1]), "controller-ranges.js"));
 const extract = (start, end) => {
   const first = source.indexOf(start);
   const last = source.indexOf(end, first);
@@ -28,7 +44,6 @@
 const render = new Function([
   extract("      const isObject =", "      const safeJson ="),
   extract("      const formatCost =", "      function unwrapToolResult"),
-  extract("      function outcomeSummary(evaluation,", "      function comparisonClass"),
   "return outcomeSummary;",
 ].join("\n"))();
 process.stdout.write(JSON.stringify(render(
@@ -62,7 +77,7 @@
 
         outcome = _render_outcome_summary(evaluation)
 
-        self.assertEqual(outcome["headline"], "LLM judge: Historical Claude")
+        self.assertEqual(outcome["quality"]["winner"], "Historical Claude")
         self.assertEqual(outcome["score"], "Historical Claude: 82%\nCodex replay: 32%")
         self.assertIn("average applicable dimension percentages", outcome["detail"])
         self.assertEqual(
@@ -70,8 +85,8 @@
             "No validated score",
         )
         self.assertEqual(
-            _render_outcome_summary({"totals": {"A": 0.821, "B": 0.824}})["headline"],
-            "LLM judge: Tie",
+            _render_outcome_summary({"totals": {"A": 0.821, "B": 0.824}})["quality"]["winner"],
+            "Tie",
         )
         self.assertEqual(
             _render_outcome_summary({"totals": {"A": 0.125, "B": 0.124}})["score"],
@@ -81,7 +96,8 @@
     def test_controller_preserves_legacy_dimension_win_counts(self) -> None:
         outcome = _render_outcome_summary({"totals": {"A": 1, "B": 2}}, schema_version=2)
 
-        self.assertEqual(outcome["headline"], "LLM judge: Codex replay")
+        self.assertEqual(outcome["quality"]["winner"], "Codex replay")
+        self.assertEqual(outcome["quality"]["detail"], "1 point higher")
         self.assertEqual(outcome["score"], "Historical Claude: 1\nCodex replay: 2")
         self.assertIn("Each dimension win awards one point", outcome["detail"])
         self.assertNotIn("%", outcome["score"])
@@ -95,41 +111,116 @@
             (
                 {"A": 1, "B": 1},
                 {"claude": {"usd": 6.68}, "codex": {"usd": 0.86}},
-                "LLM judge: Tie",
-                "Cost winner: Codex replay ($6.68 vs $0.86)",
+                "Tie",
+                "Codex replay",
+                "One metric tied",
             ),
             (
                 {"A": 0.4, "B": 0.9},
                 {"claude": {"usd": 0.14}, "codex": {"usd": 0.81}},
-                "LLM judge: Codex replay",
-                "Cost winner: Historical Claude ($0.14 vs $0.81)",
+                "Codex replay",
+                "Historical Claude",
+                "Split winners",
             ),
             (
                 {"A": 0.9, "B": 0.4},
                 {"claude": {"usd": 0}, "codex": {"usd": 0}},
-                "LLM judge: Historical Claude",
-                "Cost winner: Tie ($0.0000 vs $0.0000)",
+                "Historical Claude",
+                "Tie",
+                "One metric tied",
             ),
         )
-        for totals, costs, expected_judge, expected_cost in cases:
+        for totals, costs, expected_judge, expected_cost, summary in cases:
             with self.subTest(totals=totals, costs=costs):
                 outcome = _render_outcome_summary({"totals": totals}, costs=costs)
 
-                self.assertEqual(outcome["headline"], expected_judge)
-                self.assertEqual(outcome["cost"], expected_cost)
+                self.assertEqual(outcome["quality"]["winner"], expected_judge)
+                self.assertEqual(outcome["price"]["winner"], expected_cost)
+                self.assertEqual(outcome["summary"], summary)
 
     def test_cost_winner_is_unavailable_without_two_valid_costs(self) -> None:
-        for costs in ({}, {"claude": {"usd": 1}}, {"claude": {"usd": -1}, "codex": {"usd": 1}}):
+        for costs in (
+            {},
+            {"claude": {"usd": 1}},
+            {"claude": {"usd": -1}, "codex": {"usd": 1}},
+            {"claude": {"usd": "0.01"}, "codex": {"usd": 1}},
+        ):
             with self.subTest(costs=costs):
                 outcome = _render_outcome_summary({"totals": {"A": 1, "B": 1}}, costs=costs)
 
-                self.assertEqual(outcome["cost"], "Cost winner: unavailable")
+                self.assertIsNone(outcome["price"]["winner"])
+                self.assertEqual(outcome["quality"]["winner"], "Tie")
+                self.assertEqual(outcome["summary"], "Partial comparison")
 
     def test_shared_usage_does_not_rank_cost_even_with_a_numeric_estimate(self) -> None:
         outcome = _render_outcome_summary(
             {"totals": {"A": 1, "B": 1}},
             costs={"claude": {"status": "shared", "usd": 0}, "codex": {"usd": 1}},
         )
-        self.assertEqual(outcome["headline"], "LLM judge: Tie")
-        self.assertIn("No standalone usage", outcome["cost"])
-        self.assertNotIn("Cost winner", outcome["cost"])
+        self.assertEqual(outcome["quality"]["winner"], "Tie")
+        self.assertIsNone(outcome["price"]["winner"])
+        self.assertIn("No standalone usage", outcome["price"]["detail"])
+        self.assertEqual(outcome["price"]["values"][0]["value"], "Shared usage")
+
+    def test_split_winners_show_labeled_values_and_differences(self) -> None:
+        outcome = _render_outcome_summary(
+            {"totals": {"A": 1, "B": 0.8}},
+            costs={"claude": {"usd": 0.26}, "codex": {"usd": 0.01}},
+        )
+        self.assertEqual(outcome["summary"], "Split winners")
+        self.assertEqual(outcome["price"]["winner"], "Codex replay")
+        self.assertEqual(outcome["price"]["detail"], "96% lower estimated cost")
+        self.assertEqual(
+            outcome["price"]["values"],
+            [
+                {"name": "Historical Claude", "value": "$0.26"},
+                {"name": "Codex replay", "value": "$0.01"},
+            ],
+        )
+        self.assertEqual(outcome["quality"]["winner"], "Historical Claude")
+        self.assertEqual(outcome["quality"]["detail"], "20 percentage points higher")
+        self.assertEqual(
+            outcome["quality"]["values"],
+            [
+                {"name": "Historical Claude", "value": "100%"},
+                {"name": "Codex replay", "value": "80%"},
+            ],
+        )
+
+    def test_quality_uses_revealed_candidate_mapping(self) -> None:
+        outcome = _render_outcome_summary(
+            {"candidate_mapping": {"A": "codex", "B": "claude"}, "totals": {"A": 1, "B": 0.8}},
+            costs={"claude": {"usd": 0.26}, "codex": {"usd": 0.01}},
+        )
+        self.assertEqual(outcome["quality"]["winner"], "Codex replay")
+        self.assertEqual(outcome["quality"]["values"][0], {"name": "Codex replay", "value": "100%"})
+        self.assertEqual(outcome["summary"], "Codex replay wins both")
+
+    def test_unavailable_quality_does_not_hide_price_winner_or_partial_score(self) -> None:
+        outcome = _render_outcome_summary(
+            {"totals": {"A": None, "B": 0.8}},
+            costs={"claude": {"usd": 0.26}, "codex": {"usd": 0.01}},
+        )
+        self.assertIsNone(outcome["quality"]["winner"])
+        self.assertEqual(outcome["quality"]["values"][0]["value"], "Unavailable")
+        self.assertEqual(outcome["quality"]["values"][1]["value"], "80%")
+        self.assertEqual(outcome["price"]["winner"], "Codex replay")
+        self.assertEqual(outcome["summary"], "Partial comparison")
+
+    def test_both_metrics_can_tie_including_zero_cost(self) -> None:
+        outcome = _render_outcome_summary(
+            {"totals": {"A": 0.801, "B": 0.804}},
+            costs={"claude": {"usd": 0}, "codex": {"usd": 0}},
+        )
+        self.assertEqual(outcome["summary"], "Price and quality tied")
+        self.assertEqual(outcome["price"]["detail"], "Same estimated cost")
+        self.assertEqual(outcome["quality"]["detail"], "Same quality score")
+
+    def test_cost_difference_rounding_does_not_claim_zero_or_total_savings(self) -> None:
+        for replay, expected in ((0.999, "<1%"), (0.001, ">99%"), (0, "100%")):
+            with self.subTest(replay=replay):
+                outcome = _render_outcome_summary(
+                    {}, costs={"claude": {"usd": 1}, "codex": {"usd": replay}}
+                )
+                self.assertEqual(outcome["price"]["winner"], "Codex replay")
+                self.assertEqual(outcome["price"]["detail"], f"{expected} lower estimated cost")
Full technical diff · 116 changed fields

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