refactor(model-core): host snapshot fetcher, suggestion parser, and context-limit resolver

Move three pure helpers from src/shared/ into @oh-my-opencode/model-core so the package can stand alone without depending on plugin internals: - buildModelCapabilitiesSnapshotFromModelsDev + fetchModelCapabilitiesSnapshot (models.dev normalization) - parseModelSuggestion (cross-provider ProviderModelNotFoundError suggestion extraction) - resolveActualContextLimit (Anthropic GA 1M context override) Split provider-model-id-transform into two variants exposed by model-core: - transformModelForProvider keeps the runtime dash to dot Anthropic rewrite used by the SDK - transformModelForProviderDisplay preserves hyphenated Anthropic IDs so the installer writes registry-compatible model strings, fixing the ProviderModelNotFoundError fresh installs hit when the dotted form leaks into the config src/shared/* and src/cli/provider-model-id-transform.ts collapse to re-export shims that point at the new core modules. Stale src/shared/{known-variants,model-capability-aliases,model-capability-guardrails,model-capability-heuristics}.ts re-export files plus the duplicated context-limit-resolver test are removed in favor of the canonical model-core copies. Tests: bun test packages/model-core src/shared/model-capabilities-cache.test.ts src/cli/provider-model-id-transform.test.ts
2026-05-21 16:02:41 +09:00
parent 4ea76365cd
commit edaa95fec0
22 changed files with 671 additions and 767 deletions
@@ -0,0 +1,117 @@
+import { describe, expect, test } from "bun:test"
+
+import {
+  buildModelCapabilitiesSnapshotFromModelsDev,
+  fetchModelCapabilitiesSnapshot,
+} from "./model-capabilities-snapshot"
+
+describe("model-capabilities-snapshot", () => {
+  test("builds a normalized snapshot from models.dev provider data", () => {
+    const raw = {
+      openai: {
+        models: {
+          "gpt-5.4": {
+            id: "gpt-5.4",
+            family: "gpt",
+            reasoning: true,
+            temperature: false,
+            tool_call: true,
+            modalities: {
+              input: ["text", "image"],
+              output: ["text"],
+            },
+            limit: {
+              context: 1_050_000,
+              output: 128_000,
+            },
+          },
+        },
+      },
+    }
+
+    const snapshot = buildModelCapabilitiesSnapshotFromModelsDev(raw)
+
+    expect(snapshot.sourceUrl).toBe("https://models.dev/api.json")
+    expect(snapshot.models["gpt-5.4"]).toEqual({
+      id: "gpt-5.4",
+      family: "gpt",
+      reasoning: true,
+      temperature: false,
+      toolCall: true,
+      modalities: {
+        input: ["text", "image"],
+        output: ["text"],
+      },
+      limit: {
+        context: 1_050_000,
+        output: 128_000,
+      },
+    })
+  })
+
+  test("ignores malformed provider entries and missing fields", () => {
+    const raw = {
+      invalidProvider: null,
+      anthropic: {
+        models: {
+          "claude-sonnet-4-6": {
+            reasoning: true,
+          },
+          "bad-model": "invalid",
+        },
+      },
+      openai: {
+        models: {
+          "gpt-5.4": {
+            id: "GPT-5.4",
+            modalities: {
+              input: ["text", 1],
+            },
+          },
+        },
+      },
+    }
+
+    const snapshot = buildModelCapabilitiesSnapshotFromModelsDev(raw)
+
+    expect(snapshot.models["claude-sonnet-4-6"]).toEqual({
+      id: "claude-sonnet-4-6",
+      reasoning: true,
+    })
+    expect(snapshot.models["gpt-5.4"]).toEqual({
+      id: "GPT-5.4",
+      modalities: {
+        input: ["text"],
+      },
+    })
+    expect(snapshot.models["bad-model"]).toBeUndefined()
+  })
+
+  test("fetches snapshot using injected fetch implementation", async () => {
+    const sourceUrl = "https://fixture.local/models.json"
+    const fetchImpl = async () =>
+      new Response(
+        JSON.stringify({
+          openai: {
+            models: {
+              "gpt-5.4": {
+                id: "gpt-5.4",
+                limit: {
+                  output: 128_000,
+                },
+              },
+            },
+          },
+        }),
+        {
+          status: 200,
+          headers: { "content-type": "application/json" },
+        },
+      )
+
+    const snapshot = await fetchModelCapabilitiesSnapshot({ sourceUrl, fetchImpl })
+
+    expect(snapshot.sourceUrl).toBe(sourceUrl)
+    expect(snapshot.models["gpt-5.4"]?.limit?.output).toBe(128_000)
+  })
+})