Files
CC-Switch/scripts/pi-transport-capture.mjs
T

260 lines
8.0 KiB
JavaScript

#!/usr/bin/env node
/**
* Pi transport request-capture harness.
*
* 现有的 native-oracle 只执行 pinned Pi 的 schema evaluator / composer /
* config-value resolver,**不执行** adapter 与厂商 SDK 的头合并,因此
* "Pi 实际发出什么认证头" 一直只能靠读源码推断。本脚本补上这一层:
* 起一个本地 HTTP 抓包端点当 baseUrl,用 pinned Pi 的 adapter 真发一次
* 请求,记录实际发出的 header。
*
* 用法:
* PI_CHECKOUT=/path/to/pinned/pi node scripts/pi-transport-capture.mjs
*
* 不含任何密钥:测试用的 apiKey 是本地抓包用的假值;若要打真实端点,
* 通过环境变量传入(PI_CAPTURE_BASE_URL / PI_CAPTURE_API_KEY),不要写进文件。
*
* 输出为 JSON,可作为 transport 断言的出处依据。若要升级为受冻结的
* oracle 夹具,请比照 scripts/generate-pi-native-oracle.mjs 补 provenance
* (pinned commit、源码哈希、bundler 版本)。
*/
import { createServer } from "node:http";
import { execFileSync } from "node:child_process";
import { createRequire } from "node:module";
import { mkdtempSync, rmSync, writeFileSync } from "node:fs";
import { join } from "node:path";
import { pathToFileURL } from "node:url";
const PI = process.env.PI_CHECKOUT;
const EXPECTED_PI_COMMIT = "ab366ebe94cacd419d986be454f12b1b9913aaca";
if (!PI) {
console.error(
"PI_CHECKOUT must point at a pinned Pi checkout (with node_modules).",
);
process.exit(2);
}
const piCommit = execFileSync("git", ["-C", PI, "rev-parse", "HEAD"], {
encoding: "utf8",
}).trim();
if (piCommit !== EXPECTED_PI_COMMIT) {
throw new Error(
`Pi checkout pin mismatch: expected ${EXPECTED_PI_COMMIT}, got ${piCommit}`,
);
}
const requireFromPi = createRequire(join(PI, "package.json"));
const { buildSync, version: esbuildVersion } = requireFromPi("esbuild");
const ANTHROPIC_SSE =
'event: message_start\ndata: {"type":"message_start","message":{"id":"m","type":"message","role":"assistant","model":"m","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"output_tokens":1}}}\n\n' +
'event: message_delta\ndata: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":1}}\n\n' +
'event: message_stop\ndata: {"type":"message_stop"}\n\n';
const OPENAI_SSE =
'data: {"type":"response.completed","response":{"id":"r","status":"completed","output":[],"usage":{"input_tokens":1,"output_tokens":1}}}\n\n' +
"data: [DONE]\n\n";
const captured = [];
const server = createServer((request, response) => {
const chunks = [];
request.on("data", (chunk) => chunks.push(chunk));
request.on("end", () => {
captured.push({ url: request.url, headers: { ...request.headers } });
response.writeHead(200, { "content-type": "text/event-stream" });
response.end(request.url.includes("messages") ? ANTHROPIC_SSE : OPENAI_SSE);
});
});
await new Promise((resolve) => server.listen(0, "127.0.0.1", resolve));
const baseUrl =
process.env.PI_CAPTURE_BASE_URL ??
`http://127.0.0.1:${server.address().port}`;
const harnessDirectory = mkdtempSync(join(PI, ".cc-switch-transport-capture-"));
process.on("exit", () =>
rmSync(harnessDirectory, { recursive: true, force: true }),
);
const aiShimPath = join(harnessDirectory, "pi-ai-shim.mjs");
const compatShimPath = join(harnessDirectory, "pi-ai-compat-shim.mjs");
writeFileSync(
aiShimPath,
'export function lazyStream() { throw new Error("transport shim must not execute during compat capture"); }\n',
);
writeFileSync(
compatShimPath,
'export function getApiProvider() { throw new Error("transport shim must not execute during compat capture"); }\n',
);
const entryPoint = join(harnessDirectory, "entry.mjs");
writeFileSync(
entryPoint,
[
`export { streamSimple as anthropicMessages } from "${PI}/packages/ai/src/api/anthropic-messages.ts";`,
`export { streamSimple as openaiResponses } from "${PI}/packages/ai/src/api/openai-responses.ts";`,
`export { streamSimple as openaiCompletions } from "${PI}/packages/ai/src/api/openai-completions.ts";`,
`export { composeModelProvider } from "${PI}/packages/coding-agent/src/core/provider-composer.ts";`,
].join("\n"),
);
const bundlePath = join(harnessDirectory, "bundle.mjs");
buildSync({
entryPoints: [entryPoint],
bundle: true,
platform: "node",
format: "esm",
outfile: bundlePath,
external: ["node:*"],
packages: "external",
alias: {
"@earendil-works/pi-ai": aiShimPath,
"@earendil-works/pi-ai/compat": compatShimPath,
},
logLevel: "silent",
});
const adapters = await import(pathToFileURL(bundlePath).href);
const API_BY_ADAPTER = {
anthropicMessages: "anthropic-messages",
openaiResponses: "openai-responses",
openaiCompletions: "openai-completions",
};
/** 每个用例只改变凭证与显式 header,其余保持最小合法模型。 */
const CASES = [
["anthropicMessages", "plain-key", "sk-ant-api03-plain", {}],
["anthropicMessages", "oauth-token", "sk-ant-oat01-token", {}],
[
"anthropicMessages",
"explicit-x-api-key",
"synthesized-secret",
{ "x-api-key": "explicit-secret" },
],
[
"anthropicMessages",
"explicit-authorization",
"synthesized-secret",
{ authorization: "Bearer configured" },
],
["openaiResponses", "plain-key", "sk-plain", {}],
["openaiResponses", "oauth-shaped-token", "sk-ant-oat01-not-anthropic", {}],
[
"openaiResponses",
"explicit-authorization",
"synthesized-secret",
{ authorization: "Bearer configured" },
],
[
"openaiCompletions",
"explicit-authorization",
"synthesized-secret",
{ authorization: "Bearer configured" },
],
[
"openaiCompletions",
"explicit-x-api-key",
"synthesized-secret",
{ "x-api-key": "explicit-secret" },
],
];
const results = [];
for (const [adapter, label, apiKey, headers] of CASES) {
const model = {
id: "m",
name: "m",
api: API_BY_ADAPTER[adapter],
provider: "candidate",
baseUrl,
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 1000,
maxTokens: 100,
};
const before = captured.length;
let error;
try {
const stream = adapters[adapter](
model,
{ messages: [{ role: "user", content: "hi" }] },
{
apiKey: process.env.PI_CAPTURE_API_KEY ?? apiKey,
headers,
maxTokens: 16,
},
);
for await (const _event of stream) {
// drain
}
} catch (caught) {
error = String(caught);
}
const request =
captured.length > before ? captured[captured.length - 1] : undefined;
results.push({
adapter: API_BY_ADAPTER[adapter],
case: label,
requestSent: Boolean(request),
error: request ? undefined : error,
authHeaders: request
? Object.fromEntries(
Object.entries(request.headers).filter(([name]) =>
[
"authorization",
"x-api-key",
"x-goog-api-key",
"anthropic-beta",
"anthropic-version",
"openai-beta",
].includes(name),
),
)
: undefined,
});
}
const compatInput = {
api: "openai-responses",
baseUrl: "https://compat.example/v1",
apiKey: "literal",
compat: {
openRouterRouting: ["first", "second"],
chatTemplateKwargs: "ab",
baseOnly: true,
},
models: [{ id: "m", compat: { supportsStore: true } }],
modelOverrides: {
m: {
compat: {
openRouterRouting: null,
chatTemplateKwargs: { named: true },
overlayOnly: true,
},
},
},
};
const compatProvider = adapters.composeModelProvider(
"compat-spread",
undefined,
{
getProvider(providerId) {
return providerId === "compat-spread" ? compatInput : undefined;
},
},
undefined,
);
const compatSpread = compatProvider.getModels()[0].compat;
server.close();
console.log(
JSON.stringify(
{
bundler: `esbuild@${esbuildVersion}`,
piCheckout: PI,
piCommit,
baseUrl,
results,
compatSpread,
},
null,
2,
),
);