openclaw/src/agents/pi-embedded-runner.openai-tool-id-preservation.test.ts
2026-02-22 11:17:47 +00:00

51 lines
1.7 KiB
TypeScript

import type { AgentMessage } from "@mariozechner/pi-agent-core";
import { describe, expect, it } from "vitest";
import {
makeInMemorySessionManager,
makeModelSnapshotEntry,
} from "./pi-embedded-runner.sanitize-session-history.test-harness.js";
import { sanitizeSessionHistory } from "./pi-embedded-runner/google.js";
describe("sanitizeSessionHistory openai tool id preservation", () => {
it("keeps canonical call_id|fc_id pairings for same-model openai replay", async () => {
const sessionEntries = [
makeModelSnapshotEntry({
provider: "openai",
modelApi: "openai-responses",
modelId: "gpt-5.2-codex",
}),
];
const sessionManager = makeInMemorySessionManager(sessionEntries);
const messages: AgentMessage[] = [
{
role: "assistant",
content: [{ type: "toolCall", id: "call_123|fc_123", name: "noop", arguments: {} }],
} as unknown as AgentMessage,
{
role: "toolResult",
toolCallId: "call_123|fc_123",
toolName: "noop",
content: [{ type: "text", text: "ok" }],
isError: false,
} as unknown as AgentMessage,
];
const result = await sanitizeSessionHistory({
messages,
modelApi: "openai-responses",
provider: "openai",
modelId: "gpt-5.2-codex",
sessionManager,
sessionId: "test-session",
});
const assistant = result[0] as { content?: Array<{ type?: string; id?: string }> };
const toolCall = assistant.content?.find((block) => block.type === "toolCall");
expect(toolCall?.id).toBe("call_123|fc_123");
const toolResult = result[1] as { toolCallId?: string };
expect(toolResult.toolCallId).toBe("call_123|fc_123");
});
});