Files
opencode/packages/ai/test/provider/missing-tool-input.test.ts

74 lines
2.7 KiB
TypeScript

import { expect } from "bun:test"
import { Effect, Schema } from "effect"
import { LLM, Message, ToolCallPart } from "../../src/index.js"
import { OpenAIChat } from "../../src/protocols/openai-chat.js"
import { OpenAIResponses } from "../../src/protocols/openai-responses.js"
import { Auth } from "../../src/route/auth.js"
import { compileRequest } from "../../src/route/client.js"
import { it } from "../lib/effect.js"
for (const route of [OpenAIChat.route, OpenAIResponses.route]) {
const model = route
.with({ endpoint: { baseURL: "https://api.openai.test/v1" }, auth: Auth.bearer("test") })
.model({ id: "gpt-4.1-mini" })
const chat = route.id === "openai-chat"
it.effect(`${route.id} serializes schema-valid undefined historical tool input as an empty object`, () =>
Effect.gen(function* () {
const message = Schema.decodeUnknownSync(Message)({
role: "assistant",
content: [{ type: "tool-call", id: "call_1", name: "lookup", input: undefined }],
})
expect(Schema.is(Message)(message)).toBe(true)
const prepared = yield* compileRequest(
LLM.request({
model,
messages: [
Message.user("Look up the value."),
message,
Message.tool({ id: "call_1", name: "lookup", result: "Missing input", resultType: "error" }),
],
}),
)
if (chat)
expect(prepared.body.messages).toContainEqual({
role: "assistant",
content: null,
tool_calls: [{ id: "call_1", type: "function", function: { name: "lookup", arguments: "{}" } }],
})
if (!chat)
expect(prepared.body.input).toContainEqual({
type: "function_call",
call_id: "call_1",
name: "lookup",
arguments: "{}",
})
expect(message.content[0]).toEqual({ type: "tool-call", id: "call_1", name: "lookup", input: undefined })
}),
)
it.effect(`${route.id} preserves defined historical tool inputs`, () =>
Effect.gen(function* () {
for (const [input, encoded] of [
[null, "null"],
[[], "[]"],
[42, "42"],
["invalid", '"invalid"'],
[{ value: "original" }, '{"value":"original"}'],
] as const) {
const prepared = yield* compileRequest(
LLM.request({
model,
messages: [
Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input })]),
Message.tool({ id: "call_1", name: "lookup", result: "Invalid input", resultType: "error" }),
],
}),
)
if (chat) expect(prepared.body.messages[0].tool_calls[0].function.arguments).toBe(encoded)
if (!chat) expect(prepared.body.input[0].arguments).toBe(encoded)
}
}),
)
}