Add native LLM core foundation (#24712)

packages/llm/test/provider/anthropic-messages.recorded.test.ts

@@ -0,0 +1,46 @@
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMError } from "../../src"
+import { LLMClient } from "../../src/route"
+import * as AnthropicMessages from "../../src/protocols/anthropic-messages"
+import { weatherToolName } from "../recorded-scenarios"
+import { recordedTests } from "../recorded-test"
+
+const model = AnthropicMessages.model({
+  id: "claude-haiku-4-5-20251001",
+  apiKey: process.env.ANTHROPIC_API_KEY ?? "fixture",
+})
+
+const malformedToolOrderRequest = LLM.request({
+  id: "recorded_anthropic_malformed_tool_order",
+  model,
+  messages: [
+    LLM.assistant([
+      LLM.toolCall({ id: "call_1", name: weatherToolName, input: { city: "Paris" } }),
+      { type: "text", text: "I will check the weather." },
+    ]),
+    LLM.toolMessage({ id: "call_1", name: weatherToolName, result: { temperature: "72F" } }),
+    LLM.user("Use that result to answer briefly."),
+  ],
+  tools: [{ name: weatherToolName, description: "Get weather", inputSchema: { type: "object", properties: {} } }],
+})
+
+const recorded = recordedTests({
+  prefix: "anthropic-messages",
+  provider: "anthropic",
+  protocol: "anthropic-messages",
+  requires: ["ANTHROPIC_API_KEY"],
+  options: { requestHeaders: ["content-type", "anthropic-version"] },
+})
+
+describe("Anthropic Messages sad-path recorded", () => {
+  recorded.effect.with("rejects malformed assistant tool order", { tags: ["tool", "sad-path"] }, () =>
+    Effect.gen(function* () {
+      const error = yield* LLMClient.generate(malformedToolOrderRequest).pipe(Effect.flip)
+
+      expect(error).toBeInstanceOf(LLMError)
+      expect(error.reason).toMatchObject({ _tag: "InvalidRequest" })
+      expect(error.message).toContain("HTTP 400")
+    }),
+  )
+})