import { describe, expect, it } from "vitest";
import { getModel } from "../src/models.js";
import { convertResponsesMessages } from "../src/providers/openai-responses-shared.js";
import type { AssistantMessage, Context, Model, ToolResultMessage, Usage } from "../src/types.js";
const emptyUsage: Usage = {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
};
function buildContext(toolResult: ToolResultMessage, now: number): Context {
const assistantMessage: AssistantMessage = {
role: "assistant",
content: [{ type: "toolCall", id: "tool-1", name: "bash", arguments: { cmd: "true" } }],
api: "openai-responses",
provider: "openai",
model: "gpt-4o-mini",
usage: emptyUsage,
stopReason: "toolUse",
timestamp: now,
};
return {
messages: [{ role: "user", content: "Run it", timestamp: now - 2 }, assistantMessage, toolResult],
};
}
describe("openai-responses convertResponsesMessages", () => {
const { compat: _compat, ...baseModel } = getModel("openai", "gpt-4o-mini");
const model: Model<"openai-responses"> = {
...baseModel,
api: "openai-responses",
input: ["text", "image"],
};
it("does not emit the image placeholder for empty-text tool results with no image", () => {
const now = Date.now();
const toolResult: ToolResultMessage = {
role: "toolResult",
toolCallId: "tool-1",
toolName: "bash",
content: [{ type: "text", text: "" }],
isError: false,
timestamp: now + 1,
};
const messages = convertResponsesMessages(model, buildContext(toolResult, now), new Set(["openai"]));
const output = messages.find((m) => m.type === "function_call_output");
expect(output?.output).toBe("");
expect(output?.output).not.toBe("(see attached image)");
});
it("still attaches images for tool results that contain an image", () => {
const now = Date.now();
const toolResult: ToolResultMessage = {
role: "toolResult",
toolCallId: "tool-1",
toolName: "read",
content: [{ type: "image", data: "ZmFrZQ==", mimeType: "image/png" }],
isError: false,
timestamp: now + 1,
};
const messages = convertResponsesMessages(model, buildContext(toolResult, now), new Set(["openai"]));
const output = messages.find((m) => m.type === "function_call_output");
expect(Array.isArray(output?.output)).toBe(true);
const parts = output?.output as Array<{ type?: string }>;
expect(parts.some((p) => p.type === "input_image")).toBe(true);
});
});