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import { describe, test, expect } from "bun:test"
import { z } from "zod"
import type {
ChatCompletionChunk,
ChatCompletionResponse,
} from "~/services/copilot/create-chat-completions"
import { type AnthropicStreamState } from "~/routes/messages/anthropic-types"
import { translateToAnthropic } from "~/routes/messages/non-stream-translation"
import { translateChunkToAnthropicEvents } from "~/routes/messages/stream-translation"
const anthropicUsageSchema = z.object({
input_tokens: z.number().int(),
output_tokens: z.number().int(),
})
const anthropicContentBlockTextSchema = z.object({
type: z.literal("text"),
text: z.string(),
})
const anthropicContentBlockToolUseSchema = z.object({
type: z.literal("tool_use"),
id: z.string(),
name: z.string(),
input: z.record(z.string(), z.any()),
})
const anthropicMessageResponseSchema = z.object({
id: z.string(),
type: z.literal("message"),
role: z.literal("assistant"),
content: z.array(
z.union([
anthropicContentBlockTextSchema,
anthropicContentBlockToolUseSchema,
]),
),
model: z.string(),
stop_reason: z.enum(["end_turn", "max_tokens", "stop_sequence", "tool_use"]),
stop_sequence: z.string().nullable(),
usage: anthropicUsageSchema,
})
/**
* Validates if a response payload conforms to the Anthropic Message shape.
* @param payload The response payload to validate.
* @returns True if the payload is valid, false otherwise.
*/
function isValidAnthropicResponse(payload: unknown): boolean {
return anthropicMessageResponseSchema.safeParse(payload).success
}
const anthropicStreamEventSchema = z.looseObject({
type: z.enum([
"message_start",
"content_block_start",
"content_block_delta",
"content_block_stop",
"message_delta",
"message_stop",
]),
})
function isValidAnthropicStreamEvent(payload: unknown): boolean {
return anthropicStreamEventSchema.safeParse(payload).success
}
describe("OpenAI to Anthropic Non-Streaming Response Translation", () => {
test("should translate a simple text response correctly", () => {
const openAIResponse: ChatCompletionResponse = {
id: "chatcmpl-123",
object: "chat.completion",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
message: {
role: "assistant",
content: "Hello! How can I help you today?",
},
finish_reason: "stop",
logprobs: null,
},
],
usage: {
prompt_tokens: 9,
completion_tokens: 12,
total_tokens: 21,
},
}
const anthropicResponse = translateToAnthropic(openAIResponse)
expect(isValidAnthropicResponse(anthropicResponse)).toBe(true)
expect(anthropicResponse.id).toBe("chatcmpl-123")
expect(anthropicResponse.stop_reason).toBe("end_turn")
expect(anthropicResponse.usage.input_tokens).toBe(9)
expect(anthropicResponse.content[0].type).toBe("text")
if (anthropicResponse.content[0].type === "text") {
expect(anthropicResponse.content[0].text).toBe(
"Hello! How can I help you today?",
)
} else {
throw new Error("Expected text block")
}
})
test("should translate a response with tool calls", () => {
const openAIResponse: ChatCompletionResponse = {
id: "chatcmpl-456",
object: "chat.completion",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
message: {
role: "assistant",
content: null,
tool_calls: [
{
id: "call_abc",
type: "function",
function: {
name: "get_current_weather",
arguments: '{"location": "Boston, MA"}',
},
},
],
},
finish_reason: "tool_calls",
logprobs: null,
},
],
usage: {
prompt_tokens: 30,
completion_tokens: 20,
total_tokens: 50,
},
}
const anthropicResponse = translateToAnthropic(openAIResponse)
expect(isValidAnthropicResponse(anthropicResponse)).toBe(true)
expect(anthropicResponse.stop_reason).toBe("tool_use")
expect(anthropicResponse.content[0].type).toBe("tool_use")
if (anthropicResponse.content[0].type === "tool_use") {
expect(anthropicResponse.content[0].id).toBe("call_abc")
expect(anthropicResponse.content[0].name).toBe("get_current_weather")
expect(anthropicResponse.content[0].input).toEqual({
location: "Boston, MA",
})
} else {
throw new Error("Expected tool_use block")
}
})
test("should translate a response stopped due to length", () => {
const openAIResponse: ChatCompletionResponse = {
id: "chatcmpl-789",
object: "chat.completion",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
message: {
role: "assistant",
content: "This is a very long response that was cut off...",
},
finish_reason: "length",
logprobs: null,
},
],
usage: {
prompt_tokens: 10,
completion_tokens: 2048,
total_tokens: 2058,
},
}
const anthropicResponse = translateToAnthropic(openAIResponse)
expect(isValidAnthropicResponse(anthropicResponse)).toBe(true)
expect(anthropicResponse.stop_reason).toBe("max_tokens")
})
})
describe("OpenAI to Anthropic Streaming Response Translation", () => {
test("should translate a simple text stream correctly", () => {
const openAIStream: Array<ChatCompletionChunk> = [
{
id: "cmpl-1",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: { role: "assistant" },
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-1",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: { content: "Hello" },
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-1",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: { content: " there" },
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-1",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{ index: 0, delta: {}, finish_reason: "stop", logprobs: null },
],
},
]
const streamState: AnthropicStreamState = {
messageStartSent: false,
contentBlockIndex: 0,
contentBlockOpen: false,
toolCalls: {},
}
const translatedStream = openAIStream.flatMap((chunk) =>
translateChunkToAnthropicEvents(chunk, streamState),
)
for (const event of translatedStream) {
expect(isValidAnthropicStreamEvent(event)).toBe(true)
}
})
test("should translate a stream with tool calls", () => {
const openAIStream: Array<ChatCompletionChunk> = [
{
id: "cmpl-2",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: { role: "assistant" },
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-2",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: {
tool_calls: [
{
index: 0,
id: "call_xyz",
type: "function",
function: { name: "get_weather", arguments: "" },
},
],
},
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-2",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: {
tool_calls: [{ index: 0, function: { arguments: '{"loc' } }],
},
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-2",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{
index: 0,
delta: {
tool_calls: [
{ index: 0, function: { arguments: 'ation": "Paris"}' } },
],
},
finish_reason: null,
logprobs: null,
},
],
},
{
id: "cmpl-2",
object: "chat.completion.chunk",
created: 1677652288,
model: "gpt-4o-2024-05-13",
choices: [
{ index: 0, delta: {}, finish_reason: "tool_calls", logprobs: null },
],
},
]
// Streaming translation requires state
const streamState: AnthropicStreamState = {
messageStartSent: false,
contentBlockIndex: 0,
contentBlockOpen: false,
toolCalls: {},
}
const translatedStream = openAIStream.flatMap((chunk) =>
translateChunkToAnthropicEvents(chunk, streamState),
)
// These tests will fail until the stub is implemented
for (const event of translatedStream) {
expect(isValidAnthropicStreamEvent(event)).toBe(true)
}
})
})
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