mirror of
https://github.com/diegosouzapw/OmniRoute.git
synced 2026-08-03 13:52:09 +03:00
This project is inspired by and originally forked from 9router by decolua (https://github.com/decolua/9router). Full rebrand: 9router → OmniRoute across all source code, configuration, Docker, documentation, and assets.
195 lines
6.9 KiB
JavaScript
195 lines
6.9 KiB
JavaScript
import test from "node:test";
|
|
import assert from "node:assert/strict";
|
|
|
|
import { FORMATS } from "../../open-sse/translator/formats.js";
|
|
import { getModelInfoCore } from "../../open-sse/services/model.js";
|
|
import { detectFormat } from "../../open-sse/services/provider.js";
|
|
import { translateRequest } from "../../open-sse/translator/index.js";
|
|
import { GithubExecutor } from "../../open-sse/executors/github.js";
|
|
import { CodexExecutor } from "../../open-sse/executors/codex.js";
|
|
import { translateNonStreamingResponse } from "../../open-sse/handlers/responseTranslator.js";
|
|
import { extractUsageFromResponse } from "../../open-sse/handlers/usageExtractor.js";
|
|
import { parseSSEToResponsesOutput } from "../../open-sse/handlers/sseParser.js";
|
|
|
|
test("getModelInfoCore resolves unique non-openai unprefixed model", async () => {
|
|
const info = await getModelInfoCore("claude-haiku-4-5-20251001", {});
|
|
assert.equal(info.provider, "claude");
|
|
assert.equal(info.model, "claude-haiku-4-5-20251001");
|
|
});
|
|
|
|
test("getModelInfoCore keeps openai fallback for gpt-4o", async () => {
|
|
const info = await getModelInfoCore("gpt-4o", {});
|
|
assert.equal(info.provider, "openai");
|
|
assert.equal(info.model, "gpt-4o");
|
|
});
|
|
|
|
test("getModelInfoCore returns explicit ambiguity metadata for ambiguous unprefixed model", async () => {
|
|
const info = await getModelInfoCore("claude-haiku-4.5", {});
|
|
assert.equal(info.provider, null);
|
|
assert.equal(info.errorType, "ambiguous_model");
|
|
assert.match(info.errorMessage, /Ambiguous model/i);
|
|
assert.ok(Array.isArray(info.candidateProviders));
|
|
assert.ok(info.candidateProviders.length >= 2);
|
|
});
|
|
|
|
test("getModelInfoCore canonicalizes github legacy alias with explicit provider prefix", async () => {
|
|
const info = await getModelInfoCore("gh/claude-4.5-opus", {});
|
|
assert.equal(info.provider, "github");
|
|
assert.equal(info.model, "claude-opus-4-5-20251101");
|
|
});
|
|
|
|
test("GithubExecutor routes codex-family model to /responses", () => {
|
|
const executor = new GithubExecutor();
|
|
const url = executor.buildUrl("gpt-5.1-codex", true);
|
|
assert.match(url, /\/responses$/);
|
|
});
|
|
|
|
test("GithubExecutor keeps non-codex model on /chat/completions", () => {
|
|
const executor = new GithubExecutor();
|
|
const url = executor.buildUrl("gpt-5", true);
|
|
assert.match(url, /\/chat\/completions$/);
|
|
});
|
|
|
|
test("CodexExecutor forces stream=true for upstream compatibility", () => {
|
|
const executor = new CodexExecutor();
|
|
const transformed = executor.transformRequest(
|
|
"gpt-5.1-codex",
|
|
{ model: "gpt-5.1-codex", input: [], stream: false },
|
|
false
|
|
);
|
|
assert.equal(transformed.stream, true);
|
|
});
|
|
|
|
test("CodexExecutor always requests SSE accept header", () => {
|
|
const executor = new CodexExecutor();
|
|
const headers = executor.buildHeaders({ accessToken: "test-token" }, false);
|
|
assert.equal(headers.Accept, "text/event-stream");
|
|
});
|
|
|
|
test("translateNonStreamingResponse converts Responses API payload to OpenAI chat.completion", () => {
|
|
const responseBody = {
|
|
id: "resp_123",
|
|
object: "response",
|
|
created_at: 1739370000,
|
|
model: "gpt-5.1-codex",
|
|
output: [
|
|
{
|
|
type: "message",
|
|
role: "assistant",
|
|
content: [{ type: "output_text", text: "Hello from responses API." }],
|
|
},
|
|
{
|
|
type: "function_call",
|
|
id: "fc_1",
|
|
call_id: "call_1",
|
|
name: "sum",
|
|
arguments: '{"a":1,"b":2}',
|
|
},
|
|
],
|
|
usage: {
|
|
input_tokens: 11,
|
|
output_tokens: 7,
|
|
},
|
|
};
|
|
|
|
const translated = translateNonStreamingResponse(
|
|
responseBody,
|
|
FORMATS.OPENAI_RESPONSES,
|
|
FORMATS.OPENAI
|
|
);
|
|
|
|
assert.equal(translated.object, "chat.completion");
|
|
assert.equal(translated.model, "gpt-5.1-codex");
|
|
assert.equal(translated.choices[0].message.role, "assistant");
|
|
assert.equal(translated.choices[0].message.content, "Hello from responses API.");
|
|
assert.equal(translated.choices[0].finish_reason, "tool_calls");
|
|
assert.equal(translated.choices[0].message.tool_calls.length, 1);
|
|
assert.equal(translated.usage.prompt_tokens, 11);
|
|
assert.equal(translated.usage.completion_tokens, 7);
|
|
assert.equal(translated.usage.total_tokens, 18);
|
|
});
|
|
|
|
test("extractUsageFromResponse reads usage from Responses API payload", () => {
|
|
const responseBody = {
|
|
object: "response",
|
|
usage: {
|
|
input_tokens: 20,
|
|
output_tokens: 9,
|
|
cache_read_input_tokens: 4,
|
|
reasoning_tokens: 3,
|
|
},
|
|
};
|
|
|
|
const usage = extractUsageFromResponse(responseBody, "github");
|
|
assert.equal(usage.prompt_tokens, 20);
|
|
assert.equal(usage.completion_tokens, 9);
|
|
assert.equal(usage.cached_tokens, 4);
|
|
assert.equal(usage.reasoning_tokens, 3);
|
|
});
|
|
|
|
test("detectFormat identifies OpenAI Responses when input is string", () => {
|
|
const format = detectFormat({
|
|
model: "gpt-5.1-codex",
|
|
input: "hello world",
|
|
stream: true,
|
|
});
|
|
assert.equal(format, FORMATS.OPENAI_RESPONSES);
|
|
});
|
|
|
|
test("detectFormat identifies OpenAI Responses by max_output_tokens without input array", () => {
|
|
const format = detectFormat({
|
|
model: "gpt-5.1-codex",
|
|
max_output_tokens: 256,
|
|
stream: false,
|
|
});
|
|
assert.equal(format, FORMATS.OPENAI_RESPONSES);
|
|
});
|
|
|
|
test("translateRequest normalizes openai-responses input string into list payload", () => {
|
|
const translated = translateRequest(
|
|
FORMATS.OPENAI_RESPONSES,
|
|
FORMATS.OPENAI_RESPONSES,
|
|
"gpt-5.1-codex",
|
|
{
|
|
model: "gpt-5.1-codex",
|
|
input: "hello from responses",
|
|
stream: false,
|
|
},
|
|
false
|
|
);
|
|
|
|
assert.ok(Array.isArray(translated.input));
|
|
assert.equal(translated.input.length, 1);
|
|
assert.equal(translated.input[0].type, "message");
|
|
assert.equal(translated.input[0].role, "user");
|
|
assert.equal(translated.input[0].content[0].type, "input_text");
|
|
assert.equal(translated.input[0].content[0].text, "hello from responses");
|
|
});
|
|
|
|
test("parseSSEToResponsesOutput parses completed response from SSE payload", () => {
|
|
const rawSSE = [
|
|
"event: response.created",
|
|
'data: {"type":"response.created","response":{"id":"resp_1","object":"response","model":"gpt-5.1-codex","status":"in_progress","output":[]}}',
|
|
"",
|
|
"event: response.completed",
|
|
'data: {"type":"response.completed","response":{"id":"resp_1","object":"response","model":"gpt-5.1-codex","status":"completed","output":[{"type":"message","role":"assistant","content":[{"type":"output_text","text":"ok"}]}],"usage":{"input_tokens":5,"output_tokens":3}}}',
|
|
"",
|
|
"data: [DONE]",
|
|
"",
|
|
].join("\n");
|
|
|
|
const parsed = parseSSEToResponsesOutput(rawSSE, "fallback-model");
|
|
assert.equal(parsed.object, "response");
|
|
assert.equal(parsed.id, "resp_1");
|
|
assert.equal(parsed.model, "gpt-5.1-codex");
|
|
assert.equal(parsed.status, "completed");
|
|
assert.equal(parsed.output[0].type, "message");
|
|
assert.equal(parsed.usage.input_tokens, 5);
|
|
assert.equal(parsed.usage.output_tokens, 3);
|
|
});
|
|
|
|
test("parseSSEToResponsesOutput returns null for invalid payload", () => {
|
|
const parsed = parseSSEToResponsesOutput("data: not-json\n\ndata: [DONE]\n", "fallback-model");
|
|
assert.equal(parsed, null);
|
|
});
|