Files
9router/open-sse/handlers/chatCore/requestDetail.js
T
decoluaandCursor a625ea9fd8 refactor(log): unify request lifecycle logging with session-colored tags
Collapse scattered per-request console lines (request/routing/auth/pending/
usage/stream-usage/stream) into 3 correlated lines: request, transform,
done. Add stable per-session color tag so concurrent request lines are
easy to follow, surface thinking intent, always-on full error logging
for debug, re-enable warn level, and uppercase keyword labels. Also fix
usage overview cards wrapping (5 cards -> grid-cols-5).

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-10 18:01:20 +07:00

127 lines
4.9 KiB
JavaScript

import { saveRequestUsage, appendRequestLog, saveRequestDetail } from "@/lib/usageDb.js";
import { COLORS } from "../../utils/stream.js";
import { canonicalizeUsage } from "../../utils/usageTracking.js";
const OPTIONAL_PARAMS = [
"temperature", "top_p", "top_k",
"max_tokens", "max_completion_tokens",
"thinking", "reasoning", "enable_thinking",
"presence_penalty", "frequency_penalty",
"seed", "stop", "tools", "tool_choice",
"response_format", "prediction", "store", "metadata",
"n", "logprobs", "top_logprobs", "logit_bias",
"user", "parallel_tool_calls"
];
export function extractRequestConfig(body, stream) {
const config = { messages: body.messages || [], model: body.model, stream };
for (const param of OPTIONAL_PARAMS) {
if (body[param] !== undefined) config[param] = body[param];
}
return config;
}
export function extractUsageFromResponse(responseBody) {
if (!responseBody || typeof responseBody !== "object") return null;
// Claude format
if (responseBody.usage?.input_tokens !== undefined) {
return {
prompt_tokens: responseBody.usage.input_tokens || 0,
completion_tokens: responseBody.usage.output_tokens || 0,
cache_read_input_tokens: responseBody.usage.cache_read_input_tokens,
cache_creation_input_tokens: responseBody.usage.cache_creation_input_tokens
};
}
// OpenAI format
if (responseBody.usage?.prompt_tokens !== undefined) {
return {
prompt_tokens: responseBody.usage.prompt_tokens || 0,
completion_tokens: responseBody.usage.completion_tokens || 0,
cached_tokens: responseBody.usage.prompt_tokens_details?.cached_tokens,
reasoning_tokens: responseBody.usage.completion_tokens_details?.reasoning_tokens
};
}
// Gemini format
if (responseBody.usageMetadata) {
return {
prompt_tokens: responseBody.usageMetadata.promptTokenCount || 0,
completion_tokens: responseBody.usageMetadata.candidatesTokenCount || 0,
cached_tokens: responseBody.usageMetadata.cachedContentTokenCount || 0,
reasoning_tokens: responseBody.usageMetadata.thoughtsTokenCount || 0
};
}
return null;
}
export function buildRequestDetail(base, overrides = {}) {
return {
provider: base.provider || "unknown",
model: base.model || "unknown",
connectionId: base.connectionId || undefined,
timestamp: new Date().toISOString(),
latency: base.latency || { ttft: 0, total: 0 },
tokens: base.tokens || { prompt_tokens: 0, completion_tokens: 0 },
request: base.request,
providerRequest: base.providerRequest || null,
providerResponse: base.providerResponse || null,
response: base.response || {},
pxpipe: base.pxpipe || undefined,
status: base.status || "success",
...overrides
};
}
// Build the "done" summary: duration, ttft, in/out tokens with cache breakdown
export function formatDoneLine({ usage, latency }) {
const u = usage || {};
const inTok = u.prompt_tokens ?? u.input_tokens ?? 0;
const outTok = u.completion_tokens ?? u.output_tokens ?? 0;
const cacheRead = u.cache_read_input_tokens ?? u.cached_tokens ?? u.prompt_tokens_details?.cached_tokens ?? 0;
const cacheCreate = u.cache_creation_input_tokens ?? 0;
let inStr = `IN ${inTok}`;
if (cacheRead || cacheCreate) {
const parts = [];
if (cacheRead) parts.push(`↻${cacheRead}`);
if (cacheCreate) parts.push(`+${cacheCreate}`);
inStr += ` (CACHE ${parts.join(" ")})`;
}
const ttftStr = latency?.ttft ? ` · TTFT ${latency.ttft}ms` : "";
return `DONE ${latency?.total ?? 0}ms${ttftStr} · ${inStr} · OUT ${outTok}`;
}
export function saveUsageStats({ provider, model, tokens, connectionId, apiKey, endpoint, label = "USAGE", silent = false }) {
if (!tokens || typeof tokens !== "object") return;
const inTokens = tokens.input_tokens ?? tokens.prompt_tokens ?? 0;
const outTokens = tokens.output_tokens ?? tokens.completion_tokens ?? 0;
if (inTokens === 0 && outTokens === 0) return;
if (!silent) {
const time = new Date().toLocaleTimeString("en-US", { hour12: false, hour: "2-digit", minute: "2-digit", second: "2-digit" });
const accountSuffix = connectionId ? ` | account=${connectionId.slice(0, 8)}...` : "";
console.log(`${COLORS.green}[${time}] 📊 [${label}] ${provider.toUpperCase()} | in=${inTokens} | out=${outTokens}${accountSuffix}${COLORS.reset}`);
}
// Canonicalize to one storage convention (prompt_tokens cache-inclusive) so
// cached/cache-creation tokens survive to cost calc + stats. See canonicalizeUsage.
const normalized = canonicalizeUsage(tokens) || {
prompt_tokens: tokens.prompt_tokens ?? tokens.input_tokens ?? 0,
completion_tokens: tokens.completion_tokens ?? tokens.output_tokens ?? 0
};
saveRequestUsage({
provider: provider || "unknown",
model: model || "unknown",
tokens: normalized,
timestamp: new Date().toISOString(),
connectionId: connectionId || undefined,
apiKey: apiKey || undefined,
endpoint: endpoint || null
}).catch(() => {});
}