Use authoritative AWF AI-credit totals in usage reporting

.github/workflows/pr-code-quality-reviewer.md

@@ -16,9 +16,8 @@ on:
     name: review
     events: [pull_request_comment, pull_request_review_comment]
 engine:
-  id: pi
-  model-provider: openai
-model: openai/gpt-5.4
+  id: copilot
+model: copilot/gpt-5.4
 permissions:
   contents: read
   issues: read

actions/setup/js/fixtures/awf-v0.28.7-aic-token-usage.jsonl

@@ -0,0 +1,5 @@
+{"_schema":"token-usage/v0.28.7","timestamp":"2026-08-28T08:59:54.002Z","event":"token_usage","request_id":"5c6141a6-7331-400f-94c8-d38defdcbc7e","provider":"copilot","model":"gpt-4o-mini-2024-07-18","path":"/chat/completions","status":200,"streaming":true,"input_tokens":19288,"output_tokens":35,"cache_read_tokens":0,"cache_write_tokens":0,"duration_ms":2242,"response_bytes":8642,"x_initiator":"user","ai_credits_this_response":0.29142,"ai_credits_total":0.29142,"ai_credits_pricing_source":"models.dev","ai_credits_pricing_tier":"default","ai_credits_accounting_policy":"concrete_model","ai_credits_fallback_pricing_used":false}
+{"_schema":"token-usage/v0.28.7","timestamp":"2026-08-28T08:59:56.563Z","event":"token_usage","request_id":"cc30e0e7-0491-484e-aaa9-6b020a2707f4","provider":"copilot","model":"gpt-4o-mini-2024-07-18","path":"/chat/completions","status":200,"streaming":true,"input_tokens":19380,"output_tokens":35,"cache_read_tokens":0,"cache_write_tokens":0,"duration_ms":2469,"response_bytes":8642,"x_initiator":"agent","ai_credits_this_response":0.2928,"ai_credits_total":0.58422,"ai_credits_pricing_source":"models.dev","ai_credits_pricing_tier":"default","ai_credits_accounting_policy":"concrete_model","ai_credits_fallback_pricing_used":false}
+{"_schema":"token-usage/v0.28.7","timestamp":"2026-08-28T08:59:58.490Z","event":"token_usage","request_id":"bf3f5fcd-173c-4da9-90d9-680dbc836352","provider":"copilot","model":"gpt-4o-mini-2024-07-18","path":"/chat/completions","status":200,"streaming":true,"input_tokens":272,"output_tokens":35,"cache_read_tokens":19200,"cache_write_tokens":0,"duration_ms":1799,"response_bytes":8648,"x_initiator":"agent","ai_credits_this_response":0.15018,"ai_credits_total":0.7344,"ai_credits_pricing_source":"models.dev","ai_credits_pricing_tier":"default","ai_credits_accounting_policy":"concrete_model","ai_credits_fallback_pricing_used":false}
+{"_schema":"token-usage/v0.28.7","timestamp":"2026-08-28T09:00:00.426Z","event":"token_usage","request_id":"776b23fd-a45c-46d4-9e74-95d5f0707402","provider":"copilot","model":"gpt-4o-mini-2024-07-18","path":"/chat/completions","status":200,"streaming":true,"input_tokens":236,"output_tokens":35,"cache_read_tokens":19328,"cache_write_tokens":0,"duration_ms":1861,"response_bytes":8648,"x_initiator":"agent","ai_credits_this_response":0.1506,"ai_credits_total":0.885,"ai_credits_pricing_source":"models.dev","ai_credits_pricing_tier":"default","ai_credits_accounting_policy":"concrete_model","ai_credits_fallback_pricing_used":false}
+{"_schema":"token-usage/v0.28.7","timestamp":"2026-08-28T09:00:02.132Z","event":"token_usage","request_id":"59db8b91-cfc2-4cb9-9315-dbcb5e7bcfe7","provider":"copilot","model":"gpt-4o-mini-2024-07-18","path":"/chat/completions","status":200,"streaming":true,"input_tokens":200,"output_tokens":35,"cache_read_tokens":19456,"cache_write_tokens":0,"duration_ms":1552,"response_bytes":8648,"x_initiator":"agent","ai_credits_this_response":0.15102,"ai_credits_total":1.03602,"ai_credits_pricing_source":"models.dev","ai_credits_pricing_tier":"default","ai_credits_accounting_policy":"concrete_model","ai_credits_fallback_pricing_used":false}

actions/setup/js/model_costs.cjs

@@ -190,9 +190,10 @@ function usdToAIC(usd) {
  * @param {number} params.cacheReadTokens
  * @param {number} params.cacheWriteTokens
  * @param {number} [params.reasoningTokens]
+ * @param {boolean} [params.inputTokensIncludeCache]
  * @returns {number}
  */
-function computeInferenceCostUSD({ provider, model, inputTokens, outputTokens, cacheReadTokens, cacheWriteTokens, reasoningTokens = 0 }) {
+function computeInferenceCostUSD({ provider, model, inputTokens, outputTokens, cacheReadTokens, cacheWriteTokens, reasoningTokens = 0, inputTokensIncludeCache }) {
   const pricing = findModelPricing(provider, model);
   if (!pricing) return 0;
 
@@ -201,7 +202,12 @@ function computeInferenceCostUSD({ provider, model, inputTokens, outputTokens, c
   const cacheRead = cacheReadTokens || 0;
   const cacheWrite = cacheWriteTokens || 0;
   const reasoning = reasoningTokens || 0;
-  const effectiveInput = providerIncludesCacheReadsInInput(provider) ? Math.max(input - cacheRead, 0) : input;
+  let effectiveInput = input;
+  if (inputTokensIncludeCache === true) {
+    effectiveInput = Math.max(input - cacheRead - cacheWrite, 0);
+  } else if (typeof inputTokensIncludeCache !== "boolean" && providerIncludesCacheReadsInInput(provider)) {
+    effectiveInput = Math.max(input - cacheRead, 0);
+  }
 
   const promptPrice = pricing.input || 0;
   const completionPrice = pricing.output || 0;
@@ -221,6 +227,7 @@ function computeInferenceCostUSD({ provider, model, inputTokens, outputTokens, c
  * @param {number} params.cacheReadTokens
  * @param {number} params.cacheWriteTokens
  * @param {number} [params.reasoningTokens]
+ * @param {boolean} [params.inputTokensIncludeCache]
  * @returns {number}
  */
 function computeInferenceAIC(params) {

actions/setup/js/model_costs.test.cjs

@@ -207,6 +207,64 @@ describe("model_costs.cjs", () => {
     expect(aic).toBeCloseTo(0.336, 6);
   });
 
+  it("uses explicit inclusive cache semantics when present", async () => {
+    writeModelsFixture({
+      "github-copilot": {
+        models: {
+          "gpt-4o-mini": {
+            cost: {
+              input: "0.00000015",
+              output: "0.0000006",
+              cache_read: "0.000000075",
+            },
+          },
+        },
+      },
+    });
+
+    const { computeInferenceAIC } = await import("./model_costs.cjs");
+    const aic = computeInferenceAIC({
+      provider: "copilot",
+      model: "gpt-4o-mini",
+      inputTokens: 1000,
+      outputTokens: 100,
+      cacheReadTokens: 400,
+      cacheWriteTokens: 100,
+      inputTokensIncludeCache: true,
+    });
+
+    expect(aic).toBeCloseTo(0.018, 6);
+  });
+
+  it("uses explicit additive cache semantics when present", async () => {
+    writeModelsFixture({
+      "github-copilot": {
+        models: {
+          "gpt-4o-mini": {
+            cost: {
+              input: "0.00000015",
+              output: "0.0000006",
+              cache_read: "0.000000075",
+            },
+          },
+        },
+      },
+    });
+
+    const { computeInferenceAIC } = await import("./model_costs.cjs");
+    const aic = computeInferenceAIC({
+      provider: "copilot",
+      model: "gpt-4o-mini",
+      inputTokens: 1000,
+      outputTokens: 100,
+      cacheReadTokens: 400,
+      cacheWriteTokens: 100,
+      inputTokensIncludeCache: false,
+    });
+
+    expect(aic).toBeCloseTo(0.0255, 6);
+  });
+
   it("falls back to bundled models.json when GH_AW_MODELS_JSON_PATH points to a non-existent file", async () => {
     // Simulate the detection/evals job scenario: GH_AW_MODELS_JSON_PATH is set to
     // /tmp/gh-aw/models.json but that file was never downloaded from the activation artifact.