mirror of
https://github.com/diegosouzapw/OmniRoute.git
synced 2026-08-07 15:52:52 +03:00
e7f6b1d130
* feat(dashboard): add RADAR_ENABLED flag (default off) * feat(db): radar feed cache + settings with encrypted supporter key * feat(radar): signed feed sync with pinned key and version floor - feedSchema.ts: Zod v4 schema mirroring the server feed format (discriminated union on budget.kind, enum constraints, etc.) - pinnedKeys.ts: Ed25519 SPKI-DER pinned key + env override for forks - verify.ts: signature verification over exact wire bytes, never throws - sync.ts: full download/verify/validate/cache pipeline with injectable deps, feature-flag gate, opt-in gate, version floor (numeric compare), and sanitized error reasons (no stack traces) - 40 tests covering: contract hash, key handling, sig verification, schema validation, version compare, all sync paths (disabled, opt_out, invalid_signature, invalid_schema, stale, updated, error), auth header injection, and cache-untouched assertions for every failure mode * feat(radar): read-time overlay merge rules over the free catalog Pure function applyFeed() merges the cached Radar feed over the static baseline catalog at read time, honoring 4 rules: 1. Feed never overwrites a local override field. 2. enabled:false disables the entry with disabledBy:"radar" provenance. 3. User-added entry NOT in the feed survives untouched. 4. User deletion tombstone prevents feed resurrection. getRadarCatalog() accessor in index.ts: flag off / no cache / corrupt payload all fall back to baseline. Valid cache applies the overlay and returns feed metadata (version, tier, fetchedAt). TDD: 19 tests (4 rules + dedup + origin + accessor flag/cache/corrupt/ valid/bad-feed + baselineToMergedEntries converter). * feat(dashboard): radar catalog and guided setup screens - API routes: GET /api/radar/catalog, POST /api/radar/sync, POST /api/radar/settings - All gated on RADAR_ENABLED flag (404 when off) - Error responses via buildErrorBody(), never raw stack/message - Settings never echoes clear supporter key (masked omr_****<last4>) - Sync delegates to syncRadar() server-side, never proxies feed URL - Dashboard pages: - /dashboard/radar: 4 states (flag off, opt-in pending, empty, populated) - /dashboard/radar/setup?provider=X: guided setup with steps, key URL, test connection - Uses existing Card component and next-intl patterns - Sidebar: radar entry in costs group with icon - i18n: pt-BR and en keys for radarPage and radarSetupPage namespaces - Tests: - radar-api-routes.test.ts: 11 tests (flag-off 404, flag-on shape, error sanitization) - radar-page-state.test.ts: 5 tests (pure state logic) - All 90 radar tests pass (including prior 74) * docs(radar): module doc and flag-off inertia test Add docs/frameworks/RADAR.md covering the flag gate, the separate data-sync opt-in and privacy promise, the Ed25519 signature/pinned-key security model, tiers, the read-time overlay merge rules, and the self-hosting env vars — plus index entries in CLAUDE.md/AGENTS.md/docs/README.md/REPOSITORY_MAP.md. Document RADAR_FEED_URL and RADAR_FEED_PUBKEY in .env.example and docs/reference/ENVIRONMENT.md to satisfy check:env-doc-sync, which was failing on this branch since the sync.ts commit added the reads. Add tests/unit/radar-inertia.test.ts as the single canonical place asserting the "RADAR_ENABLED off => zero behavioral delta" claim end to end: the three /api/radar/* routes 404, the flag resolves to the definition default with no override, getRadarCatalog() returns exactly the baseline without touching the cache, and computeFreeModelTotals() keeps its pinned values with the Radar module imported alongside it. * fix(db): renumber radar migration to 135 after collision with 134 The base branch introduced 134_proxy_logs_egress_ip while this branch carried 134_radar_cache_settings; the migration runner rejects duplicate numeric prefixes. This migration has never been applied to a real database (the PR is unmerged), so no retroactive isSchemaAlreadyApplied guard is needed. * i18n(radar): translate radar catalog and setup strings to all locales The UI-coverage ratchet measures (present - placeholder) / total_en, so the __MISSING__ sentinels that i18n:sync-ui writes do not count as covered — only real translations restore the metric. Scoped to this PR's namespaces (radarPage, radarSetupPage, sidebar.radar*) instead of a bulk sync, which would have pulled ~978 unrelated pending keys into this diff. Placeholders and code identifiers verified preserved across all 1682 strings. * fix(radar): trust the served-tier header instead of the signed body field The signed feed body always carries tier:"live" by design (one signed artifact per version — rewriting the field server-side per request would break the exact-bytes Ed25519 signature). The server now returns the tier ACTUALLY served via the x-omniroute-feed-tier response header, so free users on a delayed community snapshot no longer see "Ao vivo (tempo real)" in the UI. sync.ts now reads and validates that header (falling back to the body's tier only when the header is absent or holds an unrecognized value) and stores the served tier in the cache; index.ts already surfaces cache.tier to the UI unchanged. * test(combo): shorten an assert message that exceeded the line limit The assertion added by #9507 was 104 chars, so prettier reformatted it into five lines on the next commit that touched the file, pushing it past its frozen size (3449) and failing check:file-size. The message is shortened (the issue reference stays in the comment directly above); the assertion itself is unchanged, and the file is back to 3448 lines and prettier-clean. * i18n(radar): use the canonical zh-TW glossary terms The machine translation produced retired renderings the glossary gate blocks: 供應商 for provider (canonical 提供者) and 文檔 for documentation (canonical 文件). Fixed across the 11 affected radar strings; tests/unit/i18n-glossary-consistency-check.test.ts is back to 17/17. * fix(radar): point the default feed URL at the domain that exists radar.omniroute.dev was a placeholder for a domain that was never registered, so an out-of-the-box sync would fail DNS resolution for every user. The live feed is served from radar.omniroute.online (the subdomain the design always specified), now behind Cloudflare TLS. Forks still override it via RADAR_FEED_URL. --------- Co-authored-by: diegosouzapw <diegosouzapw@users.noreply.github.com>
2842 lines
117 KiB
TypeScript
2842 lines
117 KiB
TypeScript
import { translateResponse, initState } from "../translator/index.ts";
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import { FORMATS } from "../translator/formats.ts";
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import { trackPendingRequest, appendRequestLog } from "@/lib/usageDb";
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import {
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extractUsage,
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hasValidUsage,
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estimateUsage,
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logUsage,
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addBufferToUsage,
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filterUsageForFormat,
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} from "./usageTracking.ts";
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import {
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parseSSELine,
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parseSSEDataPayload,
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createSSEDataLineNormalizer,
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createSSEEventPrefixBuffer,
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hasValuableContent,
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fixInvalidId,
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formatSSE,
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unwrapGeminiChunk,
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appendBoundedText,
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buildSyntheticChatChunk,
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hasActiveDeltaValue,
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injectThinkingSignature,
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} from "./streamHelpers.ts";
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import { calculateCost } from "@/lib/usage/costCalculator";
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import { buildOmniRouteSseMetadataComment } from "@/domain/omnirouteResponseMeta";
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import {
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createStructuredSSECollector,
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buildStreamSummaryFromEvents,
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} from "./streamPayloadCollector.ts";
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import { STREAM_IDLE_TIMEOUT_MS, FETCH_BODY_TIMEOUT_MS, HTTP_STATUS } from "../config/constants.ts";
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import {
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OMIT_STREAMING_CHUNK_MARKER,
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sanitizeStreamingChunk,
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} from "../handlers/responseSanitizer.ts";
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import { isFeatureFlagEnabled } from "@/shared/utils/featureFlags";
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import {
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shouldDropResponsesCommentaryEvent,
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createTranslateCommentaryFilter,
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} from "./responsesCommentaryDrop.ts";
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import { buildErrorBody } from "./error.ts";
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import { parseTextualToolCallCandidate, isValidToolCallHeaderPrefix } from "./textualToolCall.ts";
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import {
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formatTranslatedStreamError,
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normalizeStreamFailurePayload,
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type StreamFailurePayload,
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} from "./streamErrorFormat.ts";
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import { recordToolLatency } from "../services/toolLatencyTracker.ts";
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import { extractToolSchemaMap } from "../translator/response/openai-responses/toolSchemas.ts";
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import {
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generateSessionId,
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markToolFinish,
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consumeToolFinishTime,
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} from "../services/sessionManager.ts";
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import {
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backfillResponsesCompletedOutput,
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normalizeResponsesCompletedUsage as normalizeUsage,
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normalizeResponsesSseIds,
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pushUniqueResponsesOutputItems,
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stringifyIdValue,
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stripResponsesLifecycleEcho,
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} from "./responsesStreamHelpers.ts";
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import { processBufferedPassthroughLine } from "./passthroughTailProcessor.ts";
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import { getVisibleResponsesReasoningSummaryText } from "../translator/response/openai-responses/pureHelpers.ts";
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import {
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getAnyReasoningValue,
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getReadableReasoningValue,
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getUnsupportedReasoningValue,
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hasUnsupportedReasoningSignal,
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} from "./reasoningFields.ts";
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import { applyThinkTag, flushThink, initThinkState } from "./thinkTagParser.ts";
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import { restoreOpenAIToolNames } from "../translator/helpers/toolCallHelper.ts";
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import { normalizeFinalOpenAIStreamChunk } from "./openAIStreamChunk.ts";
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/**
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* Race a response body read against a timeout.
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* Prevents indefinite hangs when the upstream sends headers but stalls on the body.
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*/
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export function withBodyTimeout<T>(
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promise: Promise<T>,
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timeoutMs: number = FETCH_BODY_TIMEOUT_MS
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): Promise<T> {
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if (timeoutMs <= 0) return promise;
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let timer: ReturnType<typeof setTimeout>;
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const timeout = new Promise<never>((_, reject) => {
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timer = setTimeout(() => {
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const err = new Error(`Response body read timeout after ${timeoutMs}ms`);
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err.name = "BodyTimeoutError";
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reject(err);
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}, timeoutMs);
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});
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return Promise.race([promise, timeout]).finally(() => clearTimeout(timer));
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}
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export { formatSSE };
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export { backfillResponsesCompletedOutput, stripResponsesLifecycleEcho };
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type JsonRecord = Record<string, unknown>;
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export const PENDING_REQUEST_CLEARED_MARKER = "__omniroutePendingRequestCleared";
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function markPendingRequestCleared(error: Error): Error {
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(error as Error & Record<string, unknown>)[PENDING_REQUEST_CLEARED_MARKER] = true;
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return error;
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}
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type StreamLogger = {
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appendProviderChunk?: (value: string) => void;
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appendConvertedChunk?: (value: string) => void;
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appendOpenAIChunk?: (value: string) => void;
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};
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type StreamCompletePayload = {
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status: number;
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usage: unknown;
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/** Minimal response body for call log (streaming: usage + note; non-streaming not used) */
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responseBody?: unknown;
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providerPayload?: unknown;
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clientPayload?: unknown;
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error?: string | null;
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errorCode?: string | null;
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ttft?: number | null;
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};
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type StreamOptions = {
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mode?: string;
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targetFormat?: string;
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sourceFormat?: string;
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clientResponseFormat?: string | null;
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copilotCompatibleReasoning?: boolean;
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/** Suppress the `</think>` close marker for clients that render it verbatim (#5245). */
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suppressThinkClose?: boolean;
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/**
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* Drop internal commentary-phase output items from Responses API passthrough
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* streams before forwarding (#6199). When omitted, falls back to the
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* `RESPONSES_PASSTHROUGH_DROP_COMMENTARY` feature flag (default on).
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*/
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dropResponsesCommentary?: boolean;
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customToolNames?: ReadonlySet<string>;
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provider?: string | null;
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reqLogger?: StreamLogger | null;
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toolNameMap?: unknown;
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model?: string | null;
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connectionId?: string | null;
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apiKeyInfo?: unknown;
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body?: unknown;
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onComplete?: ((payload: StreamCompletePayload) => void) | null;
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onFailure?: ((payload: StreamFailurePayload) => boolean | void | Promise<void>) | null;
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/**
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* Request-scoped `{namespace, name}` ledger for Responses namespace child
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* tools that were flattened to a bare leaf on the Chat wire (#7936
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* round-trip closure). The Responses response translator keys on the leaf
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* name emitted in `response.function_call_arguments.*` /
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* `response.output_item.added` / `response.output_item.done` and emits
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* codex-compatible `namespace` + `name` fields.
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*/
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requestToolIdentityMap?: Map<string, { namespace: string; name: string }> | null;
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};
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type TranslateState = ReturnType<typeof initState> & {
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provider?: string | null;
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toolNameMap?: unknown;
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signatureNamespace?: string | null;
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usage?: unknown;
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finishReason?: unknown;
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copilotCompatibleReasoning?: boolean;
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/** Suppress the `</think>` close marker for clients that render it verbatim (#5245). */
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suppressThinkClose?: boolean;
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/** Accumulated message content for call log response body */
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accumulatedContent?: string;
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/** Accumulated reasoning content (separate from content) */
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accumulatedReasoning?: string;
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/** #6951 — per-tool JSON Schema (from request `tools[]`), keyed by tool name. */
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toolSchemas?: Map<string, Record<string, unknown>> | null;
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customToolNames?: ReadonlySet<string>;
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requestToolIdentityMap?: Map<string, { namespace: string; name: string }> | null;
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upstreamError?: {
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status: number;
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type: string;
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code: string;
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message: string;
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} | null;
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};
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type ToolCall = {
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id: string | null;
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index: number;
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type: string;
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function: { name: string; arguments: string };
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};
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type UsageTokenRecord = Record<string, number>;
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function asRecord(value: unknown): JsonRecord {
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return value && typeof value === "object" && !Array.isArray(value) ? (value as JsonRecord) : {};
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}
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// #7936 — restore `{namespace, name}` on Responses passthrough `function_call`
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// items when the request-side Responses→Chat flatten stamped the bare leaf on the
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// Chat wire. Codex's ResponseItem::FunctionCall schema declares an independent
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// `namespace: Option<String>` field (see codex-rs/protocol/src/models.rs and the
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// `function_call_deserializes_optional_namespace` round-trip test); emit it back.
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function restoreResponsesPassthroughFunctionCallIdentity(
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parsed: JsonRecord,
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requestToolIdentityMap: Map<string, { namespace: string; name: string }> | null | undefined
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): boolean {
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if (!(requestToolIdentityMap instanceof Map)) return false;
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const restoreItem = (item: unknown): boolean => {
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if (!item || typeof item !== "object" || Array.isArray(item)) return false;
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const functionCall = item as JsonRecord;
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if (functionCall.type !== "function_call" || typeof functionCall.name !== "string")
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return false;
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const identity = requestToolIdentityMap.get(functionCall.name);
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if (!identity) return false;
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const changed =
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functionCall.namespace !== identity.namespace || functionCall.name !== identity.name;
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functionCall.namespace = identity.namespace;
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functionCall.name = identity.name;
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return changed;
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};
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if (parsed.type === "response.output_item.added" || parsed.type === "response.output_item.done") {
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return restoreItem(parsed.item);
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}
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if (parsed.type === "response.completed" && Array.isArray(asRecord(parsed.response).output)) {
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return (asRecord(parsed.response).output as unknown[]).reduce<boolean>(
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(changed: boolean, item: unknown) => restoreItem(item) || changed,
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false
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);
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}
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return false;
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}
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function parseTextualToolCallFromContent(text: unknown): { name: string; args: unknown } | null {
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const candidate = parseTextualToolCallCandidate(text);
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return candidate?.kind === "complete" ? { name: candidate.name, args: candidate.args } : null;
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}
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function containsTextualToolCallCandidate(text: unknown): boolean {
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return parseTextualToolCallCandidate(text) !== null;
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}
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function containsMalformedTextualToolCall(
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text: unknown,
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allowedToolNames?: Set<string> | null
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): boolean {
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if (typeof text !== "string") return false;
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const normalized = text.replace(/[\u200B-\u200D\uFEFF]/g, "");
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let searchIdx = 0;
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while (true) {
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const idx = normalized.indexOf("[Tool call:", searchIdx);
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if (idx === -1) break;
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const candidate = normalized.slice(idx);
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if (isValidToolCallHeaderPrefix(candidate)) {
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const parsed = parseTextualToolCallFromContent(candidate);
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if (parsed) {
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if (allowedToolNames?.size && !allowedToolNames.has(parsed.name)) {
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return true;
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}
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} else {
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return true;
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}
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}
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searchIdx = idx + 1;
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}
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return false;
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}
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function extractAllowedToolNames(body: unknown): Set<string> | null {
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const record = asRecord(body);
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const tools = record.tools;
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if (!Array.isArray(tools)) return null;
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const names = new Set<string>();
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for (const tool of tools) {
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if (!tool || typeof tool !== "object" || Array.isArray(tool)) continue;
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const item = tool as JsonRecord;
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const directName = typeof item.name === "string" ? item.name.trim() : "";
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const fn =
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item.function && typeof item.function === "object" && !Array.isArray(item.function)
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? (item.function as JsonRecord)
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: null;
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const functionName = typeof fn?.name === "string" ? fn.name.trim() : "";
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const name = functionName || directName;
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if (name) names.add(name);
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}
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return names.size > 0 ? names : null;
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}
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function collectPassthroughTextualToolCall(
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text: string,
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toolCalls: Map<string, ToolCall>,
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allowedToolNames?: Set<string> | null
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): ToolCall | null {
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const parsed = parseTextualToolCallFromContent(text);
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if (!parsed) return null;
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if (allowedToolNames?.size && !allowedToolNames.has(parsed.name)) return null;
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const key = `textual:${toolCalls.size}`;
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const toolCall: ToolCall = {
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id: `call_${Date.now()}_${toolCalls.size}`,
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index: toolCalls.size,
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type: "function",
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function: {
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name: parsed.name,
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arguments: JSON.stringify(parsed.args || {}),
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},
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};
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toolCalls.set(key, toolCall);
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return toolCall;
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}
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/* @testonly */ export function toStreamingToolCallDelta(toolCall: ToolCall) {
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return {
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index: toolCall.index,
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id: toolCall.id != null ? String(toolCall.id) : null,
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type: toolCall.type,
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function: {
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name: toolCall.function.name,
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arguments: toolCall.function.arguments,
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},
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};
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}
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/* @testonly */ export function toResponsesFunctionCallItem(toolCall: ToolCall) {
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return {
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type: "function_call",
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id: (toolCall.id != null ? String(toolCall.id) : null) || `fc_${toolCall.index}`,
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call_id: (toolCall.id != null ? String(toolCall.id) : null) || `call_${toolCall.index}`,
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name: toolCall.function.name,
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arguments: toolCall.function.arguments,
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status: "completed",
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};
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}
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function buildResponsesFunctionCallEvents(toolCall: ToolCall) {
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const item = toResponsesFunctionCallItem(toolCall);
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return [
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{
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type: "response.output_item.added",
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output_index: toolCall.index,
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item,
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},
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{
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type: "response.function_call_arguments.done",
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item_id: item.id,
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output_index: toolCall.index,
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arguments: toolCall.function.arguments,
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},
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{
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type: "response.output_item.done",
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output_index: toolCall.index,
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item,
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},
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];
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}
|
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|
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function formatSSEDataEvents(events: unknown[]) {
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return events.map((event) => `data: ${JSON.stringify(event)}\n\n`).join("");
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}
|
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|
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function toChatCompletionChunkWithToolCall(base: JsonRecord, toolCall: ToolCall) {
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const choice = asRecord(Array.isArray(base.choices) ? base.choices[0] : null);
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const delta = { ...asRecord(choice.delta) };
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delete delta.content;
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delete delta.reasoning_content;
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return {
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...base,
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choices: [
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{
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|
...choice,
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index: typeof choice.index === "number" ? choice.index : 0,
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delta: {
|
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...delta,
|
|
tool_calls: [toStreamingToolCallDelta(toolCall)],
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},
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finish_reason: null,
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|
},
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],
|
|
};
|
|
}
|
|
|
|
function toResponsesCompletedWithToolCalls(parsed: JsonRecord, toolCalls: ToolCall[]) {
|
|
const response = asRecord(parsed.response);
|
|
const existingOutput = Array.isArray(response.output) ? response.output : [];
|
|
return {
|
|
...parsed,
|
|
response: {
|
|
...response,
|
|
output: [
|
|
...existingOutput,
|
|
...toolCalls.map((toolCall) => toResponsesFunctionCallItem(toolCall)),
|
|
],
|
|
},
|
|
};
|
|
}
|
|
|
|
type ClaudeEmptyResponseLifecycle = {
|
|
hasMessageStart: boolean;
|
|
hasContentBlock: boolean;
|
|
hasMessageDelta: boolean;
|
|
hasMessageStop: boolean;
|
|
hasError: boolean;
|
|
syntheticContentInjected: boolean;
|
|
warningLogged: boolean;
|
|
};
|
|
|
|
const SYNTHETIC_CLAUDE_EMPTY_RESPONSE_TEXT = "";
|
|
|
|
function createClaudeEmptyResponseLifecycle(): ClaudeEmptyResponseLifecycle {
|
|
return {
|
|
hasMessageStart: false,
|
|
hasContentBlock: false,
|
|
hasMessageDelta: false,
|
|
hasMessageStop: false,
|
|
hasError: false,
|
|
syntheticContentInjected: false,
|
|
warningLogged: false,
|
|
};
|
|
}
|
|
|
|
function getClaudeEventType(payload: unknown): string | null {
|
|
if (!payload || typeof payload !== "object") return null;
|
|
const type = (payload as JsonRecord).type;
|
|
return typeof type === "string" ? type : null;
|
|
}
|
|
|
|
function isClaudeEventPayload(payload: unknown): boolean {
|
|
return getClaudeEventType(payload) !== null;
|
|
}
|
|
|
|
function updateClaudeEmptyResponseLifecycle(
|
|
lifecycle: ClaudeEmptyResponseLifecycle,
|
|
payload: unknown
|
|
) {
|
|
const type = getClaudeEventType(payload);
|
|
if (!type) return;
|
|
|
|
switch (type) {
|
|
case "message_start":
|
|
lifecycle.hasMessageStart = true;
|
|
break;
|
|
case "content_block_start":
|
|
case "content_block_delta":
|
|
case "content_block_stop":
|
|
lifecycle.hasContentBlock = true;
|
|
break;
|
|
case "message_delta":
|
|
lifecycle.hasMessageDelta = true;
|
|
break;
|
|
case "message_stop":
|
|
lifecycle.hasMessageStop = true;
|
|
break;
|
|
case "error":
|
|
lifecycle.hasError = true;
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
|
|
function hasClaudeAssistantLifecycle(lifecycle: ClaudeEmptyResponseLifecycle): boolean {
|
|
return lifecycle.hasMessageStart || lifecycle.hasMessageDelta || lifecycle.hasMessageStop;
|
|
}
|
|
|
|
function shouldInjectClaudeEmptyResponseBeforeCurrentEvent(
|
|
lifecycle: ClaudeEmptyResponseLifecycle,
|
|
payload: unknown
|
|
): boolean {
|
|
const type = getClaudeEventType(payload);
|
|
if (!type || lifecycle.hasError || lifecycle.hasContentBlock) return false;
|
|
if (!hasClaudeAssistantLifecycle(lifecycle)) return false;
|
|
return type === "message_delta" || type === "message_stop";
|
|
}
|
|
|
|
function shouldInjectClaudeEmptyResponseOnFlush(lifecycle: ClaudeEmptyResponseLifecycle): boolean {
|
|
if (lifecycle.hasError || lifecycle.hasContentBlock) return false;
|
|
return hasClaudeAssistantLifecycle(lifecycle);
|
|
}
|
|
|
|
function shouldInjectClaudeMissingFinalizersOnFlush(
|
|
lifecycle: ClaudeEmptyResponseLifecycle
|
|
): boolean {
|
|
if (lifecycle.hasError || !lifecycle.syntheticContentInjected) return false;
|
|
return !lifecycle.hasMessageDelta || !lifecycle.hasMessageStop;
|
|
}
|
|
|
|
function buildSyntheticClaudeEmptyResponseEvents(
|
|
lifecycle: ClaudeEmptyResponseLifecycle,
|
|
model: string | null,
|
|
options: {
|
|
includeContentBlock?: boolean;
|
|
includeMessageDelta?: boolean;
|
|
includeMessageStop?: boolean;
|
|
} = {}
|
|
): JsonRecord[] {
|
|
const {
|
|
includeContentBlock = true,
|
|
includeMessageDelta = false,
|
|
includeMessageStop = false,
|
|
} = options;
|
|
const events: JsonRecord[] = [];
|
|
const resolvedModel = typeof model === "string" && model ? model : "unknown";
|
|
|
|
if (includeContentBlock) {
|
|
if (!lifecycle.hasMessageStart) {
|
|
events.push({
|
|
type: "message_start",
|
|
message: {
|
|
id: `msg_synthetic_${Date.now()}`,
|
|
type: "message",
|
|
role: "assistant",
|
|
model: resolvedModel,
|
|
content: [],
|
|
stop_reason: null,
|
|
stop_sequence: null,
|
|
usage: { input_tokens: 0, output_tokens: 0 },
|
|
},
|
|
});
|
|
}
|
|
|
|
events.push(
|
|
{
|
|
type: "content_block_start",
|
|
index: 0,
|
|
content_block: { type: "text", text: "" },
|
|
},
|
|
{
|
|
type: "content_block_delta",
|
|
index: 0,
|
|
delta: {
|
|
type: "text_delta",
|
|
text: SYNTHETIC_CLAUDE_EMPTY_RESPONSE_TEXT,
|
|
},
|
|
},
|
|
{
|
|
type: "content_block_stop",
|
|
index: 0,
|
|
}
|
|
);
|
|
}
|
|
|
|
if (includeMessageDelta) {
|
|
events.push({
|
|
type: "message_delta",
|
|
delta: { stop_reason: "end_turn", stop_sequence: null },
|
|
usage: { input_tokens: 0, output_tokens: 0 },
|
|
});
|
|
}
|
|
|
|
if (includeMessageStop) {
|
|
events.push({ type: "message_stop" });
|
|
}
|
|
|
|
return events;
|
|
}
|
|
|
|
function getOpenAIIntermediateChunks(value: unknown): unknown[] {
|
|
if (!value || typeof value !== "object") return [];
|
|
const candidate = (value as JsonRecord)._openaiIntermediate;
|
|
return Array.isArray(candidate) ? candidate : [];
|
|
}
|
|
|
|
function restoreClaudePassthroughToolUseName(parsed: JsonRecord, toolNameMap: unknown): boolean {
|
|
if (!(toolNameMap instanceof Map)) return false;
|
|
if (!parsed || typeof parsed !== "object") return false;
|
|
|
|
const block =
|
|
parsed.content_block && typeof parsed.content_block === "object"
|
|
? (parsed.content_block as JsonRecord)
|
|
: null;
|
|
if (!block || block.type !== "tool_use" || typeof block.name !== "string") return false;
|
|
|
|
const restoredName = toolNameMap.get(block.name) ?? block.name;
|
|
if (restoredName === block.name) return false;
|
|
block.name = restoredName;
|
|
return true;
|
|
}
|
|
|
|
// Note: TextDecoder/TextEncoder are created per-stream inside createSSEStream()
|
|
// to avoid shared state issues with concurrent streams (TextDecoder with {stream:true}
|
|
// maintains internal buffering state between decode() calls).
|
|
|
|
// Stream modes
|
|
const STREAM_MODE = {
|
|
TRANSLATE: "translate", // Full translation between formats
|
|
PASSTHROUGH: "passthrough", // No translation, normalize output, extract usage
|
|
};
|
|
|
|
/**
|
|
* Create unified SSE transform stream with idle timeout protection.
|
|
* If the upstream provider stops sending data for STREAM_IDLE_TIMEOUT_MS,
|
|
* the stream emits an error event and closes to prevent indefinite hanging.
|
|
*
|
|
* @param {object} options
|
|
* @param {string} options.mode - Stream mode: translate, passthrough
|
|
* @param {string} options.targetFormat - Provider format (for translate mode)
|
|
* @param {string} options.sourceFormat - Client format (for translate mode)
|
|
* @param {string} options.provider - Provider name
|
|
* @param {object} options.reqLogger - Request logger instance
|
|
* @param {string} options.model - Model name
|
|
* @param {string} options.connectionId - Connection ID for usage tracking
|
|
* @param {object|null} options.apiKeyInfo - API key metadata for usage attribution
|
|
* @param {object} options.body - Request body (for input token estimation)
|
|
* @param {function} options.onComplete - Callback when stream finishes: ({ status, usage }) => void
|
|
*/
|
|
export function createSSEStream(options: StreamOptions = {}) {
|
|
const {
|
|
mode = STREAM_MODE.TRANSLATE,
|
|
targetFormat,
|
|
sourceFormat,
|
|
clientResponseFormat = null,
|
|
copilotCompatibleReasoning = false,
|
|
suppressThinkClose = false,
|
|
provider = null,
|
|
reqLogger = null,
|
|
toolNameMap = null,
|
|
model = null,
|
|
connectionId = null,
|
|
apiKeyInfo = null,
|
|
body = null,
|
|
onComplete = null,
|
|
onFailure = null,
|
|
dropResponsesCommentary,
|
|
customToolNames = new Set<string>(),
|
|
requestToolIdentityMap = null,
|
|
} = options;
|
|
const signatureNamespace = connectionId;
|
|
// Request-body-size metric (for monitoring payload size distribution & correlation with TTFT).
|
|
// The size is JSON-serialised byte count; stored as a performance mark detail so monitoring
|
|
// tools can query performance.getEntriesByType("mark") filtered by name.
|
|
let bodySize = 0;
|
|
try {
|
|
bodySize = body ? Buffer.byteLength(JSON.stringify(body), "utf8") : 0;
|
|
} catch {
|
|
/* body may not be JSON-serialisable (e.g. FormData, Blob) — metric stays 0 */
|
|
}
|
|
if (bodySize > 0) {
|
|
// Cleared immediately: this is a fixed-name mark created on every stream, so
|
|
// leaving it in the global performance timeline would accumulate without bound
|
|
// over a long-running server's lifetime. A wired PerformanceObserver still
|
|
// receives the entry (delivery is queued independently of the buffer) even though
|
|
// clearMarks() removes it from getEntriesByName()/getEntriesByType() right after.
|
|
performance.mark("omni-request-body-size", { detail: bodySize });
|
|
performance.clearMarks("omni-request-body-size");
|
|
}
|
|
|
|
// Drop internal commentary-phase Responses output before forwarding (#6199).
|
|
// Explicit option wins; otherwise read the feature flag (default on) — resolved once per stream.
|
|
const shouldDropResponsesCommentary =
|
|
dropResponsesCommentary ?? isFeatureFlagEnabled("RESPONSES_PASSTHROUGH_DROP_COMMENTARY");
|
|
const clientExpectsResponsesStream =
|
|
(mode === STREAM_MODE.PASSTHROUGH
|
|
? clientResponseFormat === FORMATS.OPENAI_RESPONSES
|
|
: sourceFormat === FORMATS.OPENAI_RESPONSES) === true;
|
|
|
|
// Clients whose SSE protocol terminates naturally on the last
|
|
// provider-shape event (not on a `data: [DONE]` line). Emitting
|
|
// `[DONE]` to these clients produces a parser error in the SDK and
|
|
// breaks follow-up turns (Capy/Anthropic SDK: text gets stuck in the
|
|
// "Thought" area; subsequent /v1/messages calls retry into a corrupt
|
|
// state). Skip the `[DONE]` for these formats.
|
|
const clientExpectsClaudeStream =
|
|
(mode === STREAM_MODE.PASSTHROUGH
|
|
? clientResponseFormat === FORMATS.CLAUDE
|
|
: sourceFormat === FORMATS.CLAUDE) === true;
|
|
|
|
// Antigravity/cloudcode streams terminate naturally on their last
|
|
// `data: {"response":{...}}` event, not on a `[DONE]` marker. Emitting
|
|
// `[DONE]` to the Antigravity IDE causes a protobuf parse failure
|
|
// (proto: syntax error (line 1:1): unexpected token [) because the
|
|
// Go binary's protobuf deserializer receives `[DONE]` as input.
|
|
const clientExpectsAntigravityStream =
|
|
(mode === STREAM_MODE.PASSTHROUGH
|
|
? clientResponseFormat === FORMATS.ANTIGRAVITY
|
|
: sourceFormat === FORMATS.ANTIGRAVITY) === true;
|
|
|
|
// Single source of truth for the [DONE] decision, used at both emission
|
|
// sites below. Only OpenAI Chat Completions clients expect [DONE];
|
|
// Responses API, Anthropic SSE, and Antigravity/cloudcode terminate on
|
|
// their own protocol events (response.completed / message_stop / last
|
|
// response candidate respectively).
|
|
const shouldEmitDoneTerminator =
|
|
!clientExpectsResponsesStream && !clientExpectsClaudeStream && !clientExpectsAntigravityStream;
|
|
|
|
let buffer = "";
|
|
let usage: UsageTokenRecord | null = null;
|
|
/** Passthrough (OpenAI CC shape): saw tool_calls in stream before finish_reason */
|
|
let passthroughHasToolCalls = false;
|
|
/** Passthrough: whether a chunk with non-null finish_reason was seen (#7800) */
|
|
let passthroughSawFinishReason = false;
|
|
/** Passthrough: accumulate tool_calls deltas for call log responseBody */
|
|
const passthroughToolCalls = new Map<string, ToolCall>();
|
|
let passthroughToolCallSeq = 0;
|
|
const allowedToolNames = extractAllowedToolNames(body);
|
|
let skipPassthroughEvent = false;
|
|
const thinkState = initThinkState(mode === STREAM_MODE.PASSTHROUGH, provider, model);
|
|
|
|
// State for translate mode (accumulatedContent for call log response body)
|
|
const state: TranslateState | null =
|
|
mode === STREAM_MODE.TRANSLATE
|
|
? {
|
|
...(initState(sourceFormat) as TranslateState),
|
|
provider,
|
|
toolNameMap,
|
|
signatureNamespace,
|
|
copilotCompatibleReasoning,
|
|
suppressThinkClose,
|
|
accumulatedContent: "",
|
|
accumulatedReasoning: "",
|
|
toolSchemas: extractToolSchemaMap(body),
|
|
customToolNames,
|
|
requestToolIdentityMap,
|
|
}
|
|
: null;
|
|
|
|
// Track content length for usage estimation (both modes)
|
|
let totalContentLength = 0;
|
|
// Passthrough: accumulate content and reasoning separately for call log response body
|
|
let passthroughAccumulatedContent = "";
|
|
let passthroughAccumulatedReasoning = "";
|
|
let passthroughBufferedTextualToolCallContent = "";
|
|
// Passthrough Responses SSE: snapshots of items seen via `response.output_item.done`,
|
|
// used to backfill `response.completed.response.output` when upstream returns it
|
|
// empty (which happens when `store: false` — see backfillResponsesCompletedOutput).
|
|
const passthroughResponsesOutputItems: unknown[] = [];
|
|
const passthroughResponsesPendingFunctionCalls = new Map<string, JsonRecord>();
|
|
let passthroughResponsesId: string | null = null;
|
|
let passthroughResponsesCurrentFunctionCallKey: string | null = null;
|
|
const passthroughResponsesReasoningSummarySeen = new Set<string>();
|
|
// #6199 — commentary-phase items announced via `response.output_item.added` are
|
|
// internal. Their `response.output_text.delta`/`response.output_text.done`/
|
|
// `response.output_item.done` events do not carry the `phase`, so we remember the
|
|
// item id + output_index here and drop every matching follow-up event.
|
|
const passthroughResponsesCommentaryItemIds = new Set<string>();
|
|
const passthroughResponsesCommentaryIndexes = new Set<number>();
|
|
const dropCommentary = createTranslateCommentaryFilter(targetFormat);
|
|
// #5786 — highest Responses-API `sequence_number` already forwarded on this stream.
|
|
// The Responses API guarantees a strictly increasing sequence_number, so any event at
|
|
// or below this watermark is an upstream reconnect/retry replay and must be dropped —
|
|
// otherwise the replayed deltas glue duplicated text into the client stream. Applies to
|
|
// both translate mode (openai-responses → claude/openai) and Responses passthrough.
|
|
let lastSeenResponsesSequenceNumber = -1;
|
|
const isDuplicateResponsesSequence = (value: unknown): boolean => {
|
|
if (typeof value !== "number" || !Number.isFinite(value)) return false;
|
|
if (value <= lastSeenResponsesSequenceNumber) return true;
|
|
lastSeenResponsesSequenceNumber = value;
|
|
return false;
|
|
};
|
|
const streamStartedAt = Date.now();
|
|
|
|
let lastToolCallChunkTime: number | null = null;
|
|
let toolFinishTime: number | null = null;
|
|
let contentAfterToolSeen = false;
|
|
|
|
// Cross-request tool latency: fingerprint the session from the request body
|
|
// so Request 2 can pick up the tool-finish timestamp left by Request 1.
|
|
const sessionId = generateSessionId(body as Parameters<typeof generateSessionId>[0], {
|
|
provider: provider ?? undefined,
|
|
connectionId: connectionId ?? undefined,
|
|
});
|
|
let pendingToolFinishTime: number | null = null;
|
|
try {
|
|
pendingToolFinishTime = consumeToolFinishTime(sessionId);
|
|
} catch {} // best-effort read of optional timing state — absence is normal
|
|
|
|
// Guard against duplicate [DONE] events — ensures exactly one per stream
|
|
let doneSent = false;
|
|
let upstreamErrorForwarded = false;
|
|
const providerPayloadCollector = createStructuredSSECollector({
|
|
stage: "provider_response",
|
|
});
|
|
const clientPayloadCollector = createStructuredSSECollector({
|
|
stage: "client_response",
|
|
});
|
|
const requestRecord = asRecord(body);
|
|
const requestStreamOptions = asRecord(
|
|
requestRecord.stream_options ?? requestRecord.streamOptions
|
|
);
|
|
const expectsOpenAIUsageOnlyChunk =
|
|
requestStreamOptions.include_usage === true || requestStreamOptions.includeUsage === true;
|
|
|
|
// Per-stream instances to avoid shared state with concurrent streams
|
|
const decoder = new TextDecoder();
|
|
const encoder = new TextEncoder();
|
|
|
|
// Idle timeout state — closes stream if provider stops sending data
|
|
let lastChunkTime = Date.now();
|
|
let idleTimer: ReturnType<typeof setInterval> | null = null;
|
|
let streamTimedOut = false;
|
|
const claudeEmptyResponseLifecycle = createClaudeEmptyResponseLifecycle();
|
|
const passthroughEventPrefix = createSSEEventPrefixBuffer();
|
|
const multilineSseDataLineNormalizer = createSSEDataLineNormalizer();
|
|
|
|
const clearIdleTimer = () => {
|
|
if (idleTimer) {
|
|
clearInterval(idleTimer);
|
|
idleTimer = null;
|
|
}
|
|
};
|
|
|
|
const clearPendingPassthroughEvent = () => {
|
|
passthroughEventPrefix.clear();
|
|
};
|
|
|
|
const applyTextualToolCallStreamingGuard = (parsed: Record<string, unknown>) => {
|
|
const choice = Array.isArray((parsed as JsonRecord).choices)
|
|
? (((parsed as JsonRecord).choices as unknown[])[0] as JsonRecord | undefined)
|
|
: undefined;
|
|
const delta = asRecord(choice?.delta);
|
|
let textualToolCallConverted = false;
|
|
|
|
if (typeof delta?.content === "string") {
|
|
const incomingContent = delta.content;
|
|
const bufferedCandidate = passthroughBufferedTextualToolCallContent + incomingContent;
|
|
if (
|
|
passthroughBufferedTextualToolCallContent ||
|
|
containsTextualToolCallCandidate(incomingContent)
|
|
) {
|
|
const parsedCandidate = parseTextualToolCallCandidate(bufferedCandidate);
|
|
if (parsedCandidate?.kind === "complete") {
|
|
const collectedToolCall = collectPassthroughTextualToolCall(
|
|
bufferedCandidate,
|
|
passthroughToolCalls,
|
|
allowedToolNames
|
|
);
|
|
if (collectedToolCall) {
|
|
parsed = toChatCompletionChunkWithToolCall(parsed, collectedToolCall);
|
|
passthroughHasToolCalls = true;
|
|
} else {
|
|
delete delta.content;
|
|
delete delta.reasoning_content;
|
|
}
|
|
textualToolCallConverted = true;
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
} else if (parsedCandidate?.kind === "partial") {
|
|
passthroughBufferedTextualToolCallContent = appendBoundedText(
|
|
passthroughBufferedTextualToolCallContent,
|
|
incomingContent
|
|
);
|
|
textualToolCallConverted = true;
|
|
delta.content = "";
|
|
} else {
|
|
if (passthroughBufferedTextualToolCallContent) {
|
|
delta.content = passthroughBufferedTextualToolCallContent + incomingContent;
|
|
textualToolCallConverted = true;
|
|
}
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
passthroughBufferedTextualToolCallContent + incomingContent
|
|
);
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
}
|
|
} else {
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
incomingContent
|
|
);
|
|
}
|
|
}
|
|
|
|
return { parsed, textualToolCallConverted };
|
|
};
|
|
|
|
const emitSyntheticClaudeEmptyResponse = (
|
|
controller: TransformStreamDefaultController,
|
|
options: {
|
|
includeContentBlock?: boolean;
|
|
includeMessageDelta?: boolean;
|
|
includeMessageStop?: boolean;
|
|
} = {}
|
|
) => {
|
|
const events = buildSyntheticClaudeEmptyResponseEvents(
|
|
claudeEmptyResponseLifecycle,
|
|
model,
|
|
options
|
|
);
|
|
if (events.length === 0) return;
|
|
|
|
if (!claudeEmptyResponseLifecycle.warningLogged) {
|
|
claudeEmptyResponseLifecycle.warningLogged = true;
|
|
console.warn(
|
|
`[STREAM] Injecting synthetic Claude SSE response for empty upstream output (${provider || "provider"}:${model || "unknown"})`
|
|
);
|
|
}
|
|
|
|
if (options.includeContentBlock !== false) {
|
|
claudeEmptyResponseLifecycle.syntheticContentInjected = true;
|
|
if (!passthroughAccumulatedContent.trim()) {
|
|
passthroughAccumulatedContent = SYNTHETIC_CLAUDE_EMPTY_RESPONSE_TEXT;
|
|
}
|
|
if (state?.accumulatedContent !== undefined && !state.accumulatedContent.trim()) {
|
|
state.accumulatedContent = SYNTHETIC_CLAUDE_EMPTY_RESPONSE_TEXT;
|
|
}
|
|
}
|
|
|
|
for (const event of events) {
|
|
updateClaudeEmptyResponseLifecycle(claudeEmptyResponseLifecycle, event);
|
|
clientPayloadCollector.push(event);
|
|
const output = formatSSE(event, FORMATS.CLAUDE);
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
}
|
|
};
|
|
|
|
let pendingRequestClearedByStream = false;
|
|
const clearPendingRequestFromStream = () => {
|
|
if (pendingRequestClearedByStream) return;
|
|
pendingRequestClearedByStream = true;
|
|
trackPendingRequest(model, provider, connectionId, false);
|
|
};
|
|
|
|
const emitClaudeEmptyStreamErrorAndAbort = (
|
|
controller: TransformStreamDefaultController,
|
|
decrementPendingRequest = true
|
|
) => {
|
|
clearIdleTimer();
|
|
const msg = "Claude returned an empty response (no content block)";
|
|
console.warn(
|
|
`[STREAM] Empty Claude stream at flush - emitting error (${provider || "provider"}:${model || "unknown"})`
|
|
);
|
|
const errorBody = buildErrorBody(502, msg);
|
|
const errorEvent: Record<string, unknown> = { type: "error", error: errorBody.error };
|
|
const errOutput = formatSSE(errorEvent, FORMATS.CLAUDE);
|
|
reqLogger?.appendConvertedChunk?.(errOutput);
|
|
clientPayloadCollector.push(errorEvent);
|
|
controller.enqueue(encoder.encode(errOutput));
|
|
let failureHandled = false;
|
|
if (onFailure) {
|
|
try {
|
|
failureHandled = onFailure({ status: 502, message: msg, code: "empty_response" }) === true;
|
|
} catch (e) {
|
|
console.debug(`[STREAM] onFailure callback error (empty_response):`, e);
|
|
}
|
|
}
|
|
if (decrementPendingRequest && !failureHandled) {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
controller.error(markPendingRequestCleared(new Error(msg)));
|
|
};
|
|
|
|
const emitTranslatedClientItem = (
|
|
controller: TransformStreamDefaultController,
|
|
item: Record<string, unknown>
|
|
) => {
|
|
let itemSanitized: Record<string, unknown> = item;
|
|
const isResponsesEvent = typeof item?.event === "string" && item.event.startsWith("response.");
|
|
if (sourceFormat === FORMATS.OPENAI && !isResponsesEvent) {
|
|
itemSanitized = sanitizeStreamingChunk(itemSanitized) as Record<string, unknown>;
|
|
}
|
|
|
|
if (!hasValuableContent(itemSanitized, sourceFormat)) {
|
|
return;
|
|
}
|
|
|
|
const isFinishChunk =
|
|
itemSanitized.type === "message_delta" || itemSanitized.choices?.[0]?.finish_reason;
|
|
if (
|
|
state?.finishReason &&
|
|
isFinishChunk &&
|
|
!hasValidUsage(itemSanitized.usage) &&
|
|
totalContentLength > 0
|
|
) {
|
|
const estimated = estimateUsage(body, totalContentLength, sourceFormat);
|
|
itemSanitized.usage = filterUsageForFormat(estimated, sourceFormat);
|
|
state.usage = estimated;
|
|
} else if (state?.finishReason && isFinishChunk && state.usage) {
|
|
const buffered = addBufferToUsage(state.usage);
|
|
itemSanitized.usage = filterUsageForFormat(buffered, sourceFormat);
|
|
}
|
|
|
|
if (
|
|
sourceFormat === FORMATS.CLAUDE &&
|
|
shouldInjectClaudeEmptyResponseBeforeCurrentEvent(claudeEmptyResponseLifecycle, itemSanitized)
|
|
) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
}
|
|
|
|
if (sourceFormat === FORMATS.CLAUDE && isClaudeEventPayload(itemSanitized)) {
|
|
updateClaudeEmptyResponseLifecycle(claudeEmptyResponseLifecycle, itemSanitized);
|
|
}
|
|
|
|
const output = formatSSE(itemSanitized, sourceFormat);
|
|
clientPayloadCollector.push(itemSanitized);
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
};
|
|
|
|
const emitFinalSseMetadata = async (
|
|
controller: TransformStreamDefaultController,
|
|
finalUsage: UsageTokenRecord | Record<string, unknown> | null | undefined
|
|
) => {
|
|
const costUsd = finalUsage ? await calculateCost(provider, model, finalUsage) : 0;
|
|
const comment = buildOmniRouteSseMetadataComment({
|
|
provider,
|
|
model,
|
|
cacheHit: false,
|
|
latencyMs: Date.now() - streamStartedAt,
|
|
usage: finalUsage,
|
|
costUsd,
|
|
});
|
|
if (!comment) return;
|
|
reqLogger?.appendConvertedChunk?.(comment);
|
|
controller.enqueue(encoder.encode(comment));
|
|
};
|
|
|
|
const getResponsesReasoningKey = (payload: Record<string, unknown>): string | null => {
|
|
const itemId = stringifyIdValue(payload.item_id);
|
|
if (itemId) {
|
|
return itemId;
|
|
}
|
|
|
|
const item =
|
|
payload.item && typeof payload.item === "object" && !Array.isArray(payload.item)
|
|
? (payload.item as Record<string, unknown>)
|
|
: null;
|
|
const outputItemId = item ? stringifyIdValue(item.id) : null;
|
|
if (outputItemId) {
|
|
return outputItemId;
|
|
}
|
|
|
|
const responseId = stringifyIdValue(payload.response_id) || passthroughResponsesId;
|
|
const outputIndex =
|
|
typeof payload.output_index === "number" && Number.isInteger(payload.output_index)
|
|
? payload.output_index
|
|
: null;
|
|
|
|
return responseId !== null && outputIndex !== null ? `${responseId}:${outputIndex}` : null;
|
|
};
|
|
|
|
const emitSyntheticResponsesReasoningSummary = (
|
|
controller: TransformStreamDefaultController,
|
|
payload: Record<string, unknown>
|
|
) => {
|
|
const item =
|
|
payload.item && typeof payload.item === "object" && !Array.isArray(payload.item)
|
|
? (payload.item as Record<string, unknown>)
|
|
: null;
|
|
if (!item || item.type !== "reasoning") {
|
|
return;
|
|
}
|
|
|
|
// #7176/#7243: only synthesize summary events from real upstream plaintext —
|
|
// never mutate `item` and never fabricate alarming placeholder text for
|
|
// encrypted-only reasoning (`encrypted_content` still forwards intact).
|
|
const visibleSummary = getVisibleResponsesReasoningSummaryText(item);
|
|
|
|
if (!visibleSummary) {
|
|
return;
|
|
}
|
|
|
|
const reasoningKey = getResponsesReasoningKey(payload);
|
|
if (!reasoningKey || passthroughResponsesReasoningSummarySeen.has(reasoningKey)) {
|
|
return;
|
|
}
|
|
passthroughResponsesReasoningSummarySeen.add(reasoningKey);
|
|
|
|
const itemId = typeof item.id === "string" && item.id ? item.id : reasoningKey;
|
|
const outputIndex =
|
|
typeof payload.output_index === "number" && Number.isInteger(payload.output_index)
|
|
? payload.output_index
|
|
: 0;
|
|
|
|
const syntheticEvents = [
|
|
{
|
|
event: "response.reasoning_summary_text.delta",
|
|
body: {
|
|
type: "response.reasoning_summary_text.delta",
|
|
item_id: itemId,
|
|
output_index: outputIndex,
|
|
summary_index: 0,
|
|
delta: visibleSummary,
|
|
},
|
|
},
|
|
{
|
|
event: "response.reasoning_summary_part.done",
|
|
body: {
|
|
type: "response.reasoning_summary_part.done",
|
|
item_id: itemId,
|
|
output_index: outputIndex,
|
|
summary_index: 0,
|
|
part: { type: "summary_text", text: visibleSummary },
|
|
},
|
|
},
|
|
];
|
|
|
|
for (const syntheticEvent of syntheticEvents) {
|
|
clientPayloadCollector.push(syntheticEvent.body);
|
|
const output = `event: ${syntheticEvent.event}\ndata: ${JSON.stringify(syntheticEvent.body)}\n\n`;
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
}
|
|
};
|
|
|
|
return new TransformStream(
|
|
{
|
|
start(controller) {
|
|
// Start idle watchdog — checks every 10s if provider has stopped sending
|
|
if (STREAM_IDLE_TIMEOUT_MS > 0) {
|
|
idleTimer = setInterval(() => {
|
|
if (!streamTimedOut && Date.now() - lastChunkTime > STREAM_IDLE_TIMEOUT_MS) {
|
|
streamTimedOut = true;
|
|
clearIdleTimer();
|
|
const timeoutMsg = `[STREAM] Idle timeout: no data from ${provider || "provider"} for ${STREAM_IDLE_TIMEOUT_MS}ms (model: ${model || "unknown"})`;
|
|
console.warn(timeoutMsg);
|
|
let failureHandled = false;
|
|
if (onFailure) {
|
|
try {
|
|
failureHandled =
|
|
onFailure({
|
|
status: HTTP_STATUS.GATEWAY_TIMEOUT,
|
|
message: timeoutMsg,
|
|
code: "stream_idle_timeout",
|
|
type: "timeout_error",
|
|
}) === true;
|
|
} catch (e) {
|
|
console.debug(`[STREAM] onFailure callback error (idle_timeout):`, e);
|
|
}
|
|
}
|
|
if (!failureHandled) {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
appendRequestLog({
|
|
model,
|
|
provider,
|
|
connectionId,
|
|
status: `FAILED ${HTTP_STATUS.GATEWAY_TIMEOUT}`,
|
|
}).catch(() => {});
|
|
const timeoutError = new Error(timeoutMsg);
|
|
timeoutError.name = "StreamIdleTimeoutError";
|
|
controller.error(markPendingRequestCleared(timeoutError));
|
|
}
|
|
}, 10_000);
|
|
}
|
|
},
|
|
|
|
transform(chunk, controller) {
|
|
if (streamTimedOut) return;
|
|
const now = Date.now();
|
|
lastChunkTime = now;
|
|
const text = decoder.decode(chunk, { stream: true });
|
|
buffer += text;
|
|
reqLogger?.appendProviderChunk?.(text);
|
|
const nlIdx = buffer.lastIndexOf("\n");
|
|
const lines = nlIdx >= 0 ? buffer.slice(0, nlIdx).split("\n") : [];
|
|
if (nlIdx >= 0) buffer = buffer.slice(nlIdx + 1);
|
|
|
|
for (const line of multilineSseDataLineNormalizer.normalize(lines)) {
|
|
const trimmed = line.trim();
|
|
|
|
// Passthrough mode: normalize and forward
|
|
if (mode === STREAM_MODE.PASSTHROUGH) {
|
|
let output: string;
|
|
let injectedUsage = false;
|
|
let clientPayload: unknown = null;
|
|
let failurePayload: StreamFailurePayload | null = null;
|
|
|
|
if (skipPassthroughEvent) {
|
|
if (!trimmed) {
|
|
skipPassthroughEvent = false;
|
|
clearPendingPassthroughEvent();
|
|
}
|
|
continue;
|
|
}
|
|
|
|
// Drop whole keepalive event blocks — strict OpenAI-compatible SDKs
|
|
// try to JSON.parse empty keepalive payloads and crash.
|
|
if (/^event:\s*keepalive\b/i.test(trimmed)) {
|
|
skipPassthroughEvent = true;
|
|
clearPendingPassthroughEvent();
|
|
continue;
|
|
}
|
|
|
|
if (/^event:/i.test(trimmed)) {
|
|
const eventType = trimmed.replace(/^event:\s*/i, "");
|
|
if (
|
|
shouldInjectClaudeEmptyResponseBeforeCurrentEvent(claudeEmptyResponseLifecycle, {
|
|
type: eventType,
|
|
})
|
|
) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
}
|
|
|
|
passthroughEventPrefix.remember(line);
|
|
continue;
|
|
}
|
|
|
|
if (/^(?::|id:|retry:)/i.test(trimmed)) {
|
|
passthroughEventPrefix.remember(line);
|
|
continue;
|
|
}
|
|
|
|
if (!trimmed) {
|
|
const pendingOutput = passthroughEventPrefix.flush();
|
|
if (pendingOutput) {
|
|
reqLogger?.appendConvertedChunk?.(pendingOutput);
|
|
controller.enqueue(encoder.encode(pendingOutput));
|
|
}
|
|
clearPendingPassthroughEvent();
|
|
continue;
|
|
}
|
|
|
|
if (!trimmed.startsWith("data:")) {
|
|
passthroughEventPrefix.remember(line);
|
|
continue;
|
|
}
|
|
|
|
const parsedPassthroughData = trimmed.startsWith("data:")
|
|
? parseSSEDataPayload(trimmed.slice(5), {
|
|
eventType: passthroughEventPrefix.eventType(),
|
|
})
|
|
: null;
|
|
|
|
// #5786 — drop replayed Responses-API events (a re-sent event carrying an
|
|
// already-seen sequence_number) so their deltas are not forwarded twice.
|
|
if (
|
|
parsedPassthroughData &&
|
|
typeof parsedPassthroughData.type === "string" &&
|
|
parsedPassthroughData.type.startsWith("response.") &&
|
|
isDuplicateResponsesSequence(parsedPassthroughData.sequence_number)
|
|
) {
|
|
clearPendingPassthroughEvent();
|
|
continue;
|
|
}
|
|
|
|
if (trimmed.startsWith("data:")) {
|
|
const providerPayload = parsedPassthroughData ?? parseSSELine(trimmed);
|
|
if (providerPayload) {
|
|
providerPayloadCollector.push(providerPayload);
|
|
if ((providerPayload as { done?: unknown }).done === true) {
|
|
continue;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (trimmed.startsWith("data:") && trimmed.slice(5).trim() === "[DONE]") {
|
|
continue;
|
|
}
|
|
|
|
if (trimmed.startsWith("data:") && trimmed.slice(5).trim() !== "[DONE]") {
|
|
try {
|
|
let parsed = parsedPassthroughData ?? JSON.parse(trimmed.slice(5).trim());
|
|
|
|
// Some upstream Responses-compatible providers leak an initial Chat Completions
|
|
// bootstrap chunk (assistant role + empty content) before emitting proper
|
|
// `response.*` events. That chunk is invalid on /v1/responses and breaks strict
|
|
// clients like OpenCode, so drop it only for Responses-native consumers.
|
|
|
|
const isEmptyAssistantBootstrapChunkForResponsesClient =
|
|
clientExpectsResponsesStream &&
|
|
parsed?.object === "chat.completion.chunk" &&
|
|
Array.isArray(parsed?.choices) &&
|
|
parsed.choices.length > 0 &&
|
|
parsed.choices.every((choice) => {
|
|
const candidate = choice && typeof choice === "object" ? choice : {};
|
|
const delta =
|
|
candidate.delta && typeof candidate.delta === "object"
|
|
? candidate.delta
|
|
: null;
|
|
|
|
if (!delta || delta.role !== "assistant") return false;
|
|
if (hasActiveDeltaValue(delta.content)) return false;
|
|
if (candidate.finish_reason !== null && candidate.finish_reason !== undefined) {
|
|
return false;
|
|
}
|
|
|
|
const { role: _role, content: _content, ...restDelta } = delta;
|
|
return !hasActiveDeltaValue(restDelta);
|
|
});
|
|
|
|
if (isEmptyAssistantBootstrapChunkForResponsesClient) {
|
|
continue;
|
|
}
|
|
|
|
// Detect Responses SSE payloads (have a `type` field like "response.created",
|
|
// "response.output_item.added", etc.) and skip Chat Completions-specific
|
|
// sanitization to avoid corrupting the stream for Responses-native clients.
|
|
const isResponsesSSE =
|
|
parsed.type &&
|
|
typeof parsed.type === "string" &&
|
|
parsed.type.startsWith("response.");
|
|
|
|
// Detect Claude SSE payloads. Includes "ping" and "error" to ensure
|
|
// they bypass the Chat Completions sanitization path which would
|
|
// incorrectly process or drop them.
|
|
const isClaudeSSE =
|
|
parsed.type &&
|
|
typeof parsed.type === "string" &&
|
|
(parsed.type.startsWith("message") ||
|
|
parsed.type.startsWith("content_block") ||
|
|
parsed.type === "ping" ||
|
|
parsed.type === "error");
|
|
|
|
if (isResponsesSSE) {
|
|
// #6199/#6561 — statefully drop internal commentary-phase output (see
|
|
// ./responsesCommentaryDrop.ts) and clear the buffered `event:` line
|
|
// for the same frame, or it flushes alone as an event-only SSE frame.
|
|
if (
|
|
shouldDropResponsesCommentary &&
|
|
shouldDropResponsesCommentaryEvent(
|
|
parsed as JsonRecord,
|
|
passthroughResponsesCommentaryItemIds,
|
|
passthroughResponsesCommentaryIndexes
|
|
)
|
|
) {
|
|
clearPendingPassthroughEvent();
|
|
continue;
|
|
}
|
|
|
|
const responsesIdsNormalized = normalizeResponsesSseIds(parsed as JsonRecord);
|
|
const parsedResponse =
|
|
parsed.response &&
|
|
typeof parsed.response === "object" &&
|
|
!Array.isArray(parsed.response)
|
|
? (parsed.response as JsonRecord)
|
|
: null;
|
|
const responseId =
|
|
(parsedResponse ? stringifyIdValue(parsedResponse.id) : null) ||
|
|
stringifyIdValue(parsed.response_id);
|
|
if (responseId) {
|
|
passthroughResponsesId = responseId;
|
|
}
|
|
// Responses SSE: only extract usage, forward payload as-is
|
|
const extracted = extractUsage(parsed);
|
|
if (extracted) {
|
|
usage = extracted;
|
|
}
|
|
// Keep generic Responses deltas for fallback usage estimates,
|
|
// but only visible text deltas may become assistant content in
|
|
// logs/replay payloads.
|
|
if (typeof parsed.delta === "string") {
|
|
totalContentLength += parsed.delta.length;
|
|
}
|
|
if (
|
|
parsed.type === "response.output_text.delta" &&
|
|
typeof parsed.delta === "string"
|
|
) {
|
|
const incomingDelta = parsed.delta;
|
|
const bufferedCandidate =
|
|
passthroughBufferedTextualToolCallContent + incomingDelta;
|
|
if (
|
|
passthroughBufferedTextualToolCallContent ||
|
|
containsTextualToolCallCandidate(incomingDelta)
|
|
) {
|
|
const parsedCandidate = parseTextualToolCallCandidate(bufferedCandidate);
|
|
if (parsedCandidate?.kind === "complete") {
|
|
const collectedToolCall = collectPassthroughTextualToolCall(
|
|
bufferedCandidate,
|
|
passthroughToolCalls,
|
|
allowedToolNames
|
|
);
|
|
if (collectedToolCall) {
|
|
passthroughHasToolCalls = true;
|
|
const responseToolCallEvents =
|
|
buildResponsesFunctionCallEvents(collectedToolCall);
|
|
output = formatSSEDataEvents(responseToolCallEvents);
|
|
clientPayloadCollector.push(...responseToolCallEvents);
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
injectedUsage = true;
|
|
} else {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
parsed.delta = "";
|
|
} else if (parsedCandidate?.kind === "partial") {
|
|
passthroughBufferedTextualToolCallContent = appendBoundedText(
|
|
passthroughBufferedTextualToolCallContent,
|
|
incomingDelta
|
|
);
|
|
parsed.delta = "";
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
} else {
|
|
if (passthroughBufferedTextualToolCallContent) {
|
|
parsed.delta = passthroughBufferedTextualToolCallContent + incomingDelta;
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
passthroughBufferedTextualToolCallContent + incomingDelta
|
|
);
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
}
|
|
} else {
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
incomingDelta
|
|
);
|
|
}
|
|
}
|
|
if (parsed.type === "response.failed") {
|
|
failurePayload = normalizeStreamFailurePayload(parsed);
|
|
}
|
|
if (
|
|
parsed.type === "response.reasoning_summary_text.delta" ||
|
|
parsed.type === "response.reasoning_summary_text.done" ||
|
|
parsed.type === "response.reasoning_summary_part.done"
|
|
) {
|
|
const reasoningKey = getResponsesReasoningKey(parsed);
|
|
if (reasoningKey) {
|
|
passthroughResponsesReasoningSummarySeen.add(reasoningKey);
|
|
}
|
|
}
|
|
if (
|
|
parsed.type === "response.output_item.added" &&
|
|
parsed.item?.type === "function_call"
|
|
) {
|
|
const item =
|
|
parsed.item && typeof parsed.item === "object" && !Array.isArray(parsed.item)
|
|
? { ...(parsed.item as JsonRecord) }
|
|
: null;
|
|
const pendingKey =
|
|
item && typeof item.id === "string"
|
|
? item.id
|
|
: item && typeof item.call_id === "string"
|
|
? item.call_id
|
|
: null;
|
|
if (item && pendingKey) {
|
|
if (typeof item.arguments !== "string") {
|
|
item.arguments = "";
|
|
}
|
|
passthroughResponsesPendingFunctionCalls.set(pendingKey, item);
|
|
passthroughResponsesCurrentFunctionCallKey = pendingKey;
|
|
}
|
|
}
|
|
if (parsed.type === "response.function_call_arguments.delta") {
|
|
const pendingKey =
|
|
typeof parsed.item_id === "string"
|
|
? parsed.item_id
|
|
: passthroughResponsesCurrentFunctionCallKey;
|
|
const pending = pendingKey
|
|
? passthroughResponsesPendingFunctionCalls.get(pendingKey)
|
|
: undefined;
|
|
if (pending && typeof parsed.delta === "string") {
|
|
const previousArgs =
|
|
typeof pending.arguments === "string" ? pending.arguments : "";
|
|
pending.arguments = previousArgs + parsed.delta;
|
|
}
|
|
}
|
|
if (parsed.type === "response.function_call_arguments.done") {
|
|
const pendingKey =
|
|
typeof parsed.item_id === "string"
|
|
? parsed.item_id
|
|
: passthroughResponsesCurrentFunctionCallKey;
|
|
const pending = pendingKey
|
|
? passthroughResponsesPendingFunctionCalls.get(pendingKey)
|
|
: undefined;
|
|
if (pending) {
|
|
if (typeof parsed.arguments === "string") {
|
|
pending.arguments = parsed.arguments;
|
|
}
|
|
pushUniqueResponsesOutputItems(passthroughResponsesOutputItems, [pending]);
|
|
}
|
|
}
|
|
// Capture each completed output item so the final
|
|
// response.completed snapshot can be backfilled when upstream
|
|
// returns an empty `output` (happens with store: false).
|
|
if (parsed.type === "response.output_item.done" && parsed.item) {
|
|
emitSyntheticResponsesReasoningSummary(controller, parsed);
|
|
pushUniqueResponsesOutputItems(passthroughResponsesOutputItems, [parsed.item]);
|
|
if (parsed.item?.type === "function_call") {
|
|
const pendingKey =
|
|
typeof parsed.item.id === "string"
|
|
? parsed.item.id
|
|
: typeof parsed.item.call_id === "string"
|
|
? parsed.item.call_id
|
|
: null;
|
|
if (pendingKey) {
|
|
passthroughResponsesPendingFunctionCalls.delete(pendingKey);
|
|
if (passthroughResponsesCurrentFunctionCallKey === pendingKey) {
|
|
passthroughResponsesCurrentFunctionCallKey = null;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if (
|
|
parsed.type === "response.completed" &&
|
|
Array.isArray(parsed.response?.output) &&
|
|
parsed.response.output.length > 0
|
|
) {
|
|
pushUniqueResponsesOutputItems(
|
|
passthroughResponsesOutputItems,
|
|
parsed.response.output
|
|
);
|
|
}
|
|
// #7936 — restore `namespace` + `name` fields on passthrough
|
|
// Responses function_call items for downstream Codex clients.
|
|
if (
|
|
parsed.type === "response.output_item.added" ||
|
|
parsed.type === "response.output_item.done" ||
|
|
parsed.type === "response.completed"
|
|
) {
|
|
restoreResponsesPassthroughFunctionCallIdentity(
|
|
parsed as JsonRecord,
|
|
requestToolIdentityMap
|
|
);
|
|
}
|
|
if (
|
|
parsed.type === "response.completed" &&
|
|
passthroughResponsesPendingFunctionCalls.size > 0
|
|
) {
|
|
pushUniqueResponsesOutputItems(passthroughResponsesOutputItems, [
|
|
...passthroughResponsesPendingFunctionCalls.values(),
|
|
]);
|
|
passthroughResponsesPendingFunctionCalls.clear();
|
|
passthroughResponsesCurrentFunctionCallKey = null;
|
|
}
|
|
// Two transport-level fixes for Responses passthrough:
|
|
// 1) Strip echoed `instructions` + `tools` from lifecycle
|
|
// events — they can balloon a single SSE event past
|
|
// 100 KB and break parsers (e.g. GitHub Copilot CLI).
|
|
// 2) Backfill `response.completed.response.output` when
|
|
// upstream sent it empty (store: false) — some clients
|
|
// build their tool-call list from that snapshot rather
|
|
// than from per-item events.
|
|
const textualToolCallBackfilled =
|
|
parsed.type === "response.completed" && passthroughToolCalls.size > 0;
|
|
if (textualToolCallBackfilled) {
|
|
parsed = toResponsesCompletedWithToolCalls(parsed as JsonRecord, [
|
|
...passthroughToolCalls.values(),
|
|
]) as typeof parsed;
|
|
}
|
|
const stripped = stripResponsesLifecycleEcho(parsed);
|
|
const backfilled = backfillResponsesCompletedOutput(
|
|
parsed,
|
|
passthroughResponsesOutputItems
|
|
);
|
|
const usageNormalized = normalizeUsage(parsed);
|
|
if (
|
|
stripped ||
|
|
backfilled ||
|
|
textualToolCallBackfilled ||
|
|
responsesIdsNormalized ||
|
|
usageNormalized
|
|
) {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
} else if (isClaudeSSE) {
|
|
// Claude SSE: extract usage, track content, forward as-is
|
|
const thinkingSignatureInjected = injectThinkingSignature(parsed, provider);
|
|
const extracted = extractUsage(parsed);
|
|
if (extracted) {
|
|
// Non-destructive merge: never overwrite a positive value with 0
|
|
// message_start carries input_tokens, message_delta carries output_tokens;
|
|
if (!usage) usage = {};
|
|
const u = usage;
|
|
const eu = extracted as UsageTokenRecord;
|
|
if (eu.prompt_tokens > 0) u.prompt_tokens = eu.prompt_tokens;
|
|
if (eu.completion_tokens > 0) u.completion_tokens = eu.completion_tokens;
|
|
if (eu.total_tokens > 0) u.total_tokens = eu.total_tokens;
|
|
if (eu.cache_read_input_tokens)
|
|
u.cache_read_input_tokens = eu.cache_read_input_tokens;
|
|
if (eu.cache_creation_input_tokens)
|
|
u.cache_creation_input_tokens = eu.cache_creation_input_tokens;
|
|
}
|
|
if (
|
|
shouldInjectClaudeEmptyResponseBeforeCurrentEvent(
|
|
claudeEmptyResponseLifecycle,
|
|
parsed
|
|
)
|
|
) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
}
|
|
updateClaudeEmptyResponseLifecycle(claudeEmptyResponseLifecycle, parsed);
|
|
const restoredToolName = restoreClaudePassthroughToolUseName(parsed, toolNameMap);
|
|
// Track content length and accumulate from Claude format
|
|
if (parsed.delta?.text) {
|
|
totalContentLength += parsed.delta.text.length;
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
parsed.delta.text
|
|
);
|
|
}
|
|
if (parsed.delta?.thinking) {
|
|
totalContentLength += parsed.delta.thinking.length;
|
|
passthroughAccumulatedReasoning = appendBoundedText(
|
|
passthroughAccumulatedReasoning,
|
|
parsed.delta.thinking
|
|
);
|
|
}
|
|
if (restoredToolName || thinkingSignatureInjected) {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
} else {
|
|
// ----------------------------------------------------
|
|
// READ THIS !!!
|
|
// ----------------------------------------------------
|
|
// IF YOU ARE AI OR AI AGENT DONT TOUCH THIS CODE !!!
|
|
// YOU WILL BREAK THIS CODE !!!
|
|
// GOOD LUCK
|
|
// ----------------------------------------------------
|
|
// Chat Completions: full sanitization pipeline
|
|
|
|
// OpenAI-compatible streaming with `stream_options.include_usage=true`
|
|
// ends with a usage-only chunk where `choices` is deliberately `[]`.
|
|
// Forward that standards-compliant chunk instead of turning it into an
|
|
// empty-response error.
|
|
//
|
|
// For a malformed empty `choices: []` chunk WITHOUT valid usage we DROP
|
|
// it (log server-side only). We must NOT inject an assistant-content
|
|
// chunk like "[OmniRoute] Upstream returned an empty response. Please
|
|
// retry." with finish_reason: "stop" — clients (Goose/opencode) feed that
|
|
// text back as a turn and spin in a retry loop. This restores the #3400
|
|
// behavior that #3422 inadvertently reverted (regression #3388/#3502).
|
|
if (Array.isArray(parsed.choices) && parsed.choices.length === 0) {
|
|
const emptyChoicesUsage = extractUsage(parsed) ?? parsed.usage;
|
|
if (hasValidUsage(emptyChoicesUsage)) {
|
|
// Some upstreams (e.g. Ollama Cloud) emit prompt_tokens: 0
|
|
// even when input was sent — they simply don't count input
|
|
// tokens. When we have a non-zero output but zero input,
|
|
// estimate the real input token count from the request body.
|
|
if (
|
|
emptyChoicesUsage &&
|
|
typeof emptyChoicesUsage === "object" &&
|
|
!Array.isArray(emptyChoicesUsage) &&
|
|
emptyChoicesUsage.completion_tokens > 0
|
|
) {
|
|
const pt = emptyChoicesUsage.prompt_tokens ?? 0;
|
|
if (pt === 0) {
|
|
const estimated = estimateUsage(body, totalContentLength, FORMATS.OPENAI);
|
|
if (estimated?.prompt_tokens > 0) {
|
|
emptyChoicesUsage.prompt_tokens = estimated.prompt_tokens;
|
|
emptyChoicesUsage.total_tokens =
|
|
(emptyChoicesUsage.total_tokens ?? 0) + estimated.prompt_tokens;
|
|
}
|
|
}
|
|
}
|
|
usage = emptyChoicesUsage;
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
clientPayload = parsed;
|
|
clientPayloadCollector.push(clientPayload);
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
continue;
|
|
}
|
|
|
|
console.warn(
|
|
`[STREAM] Upstream returned empty choices array (${provider || "provider"}:${model || "unknown"}) — dropping chunk`
|
|
);
|
|
continue;
|
|
}
|
|
|
|
const hadNonStringToolCallId = Array.isArray(parsed.choices)
|
|
? parsed.choices.some(
|
|
(choice) =>
|
|
Array.isArray(choice?.delta?.tool_calls) &&
|
|
choice.delta.tool_calls.some(
|
|
(tc) => tc?.id != null && typeof tc.id !== "string"
|
|
)
|
|
)
|
|
: false;
|
|
const hadNonStringTopLevelId =
|
|
parsed?.id != null && typeof parsed.id !== "string";
|
|
const rawDelta = parsed.choices?.[0]?.delta;
|
|
const hadReasoningAlias = hasUnsupportedReasoningSignal(rawDelta);
|
|
|
|
parsed = sanitizeStreamingChunk(parsed);
|
|
if (
|
|
parsed &&
|
|
typeof parsed === "object" &&
|
|
!Array.isArray(parsed) &&
|
|
(parsed as Record<string, unknown>)[OMIT_STREAMING_CHUNK_MARKER] === true
|
|
) {
|
|
continue;
|
|
}
|
|
|
|
const restoredOpenAIToolName = restoreOpenAIToolNames(parsed, toolNameMap);
|
|
const idFixed = hadNonStringTopLevelId ? false : fixInvalidId(parsed);
|
|
|
|
if (!hasValuableContent(parsed, FORMATS.OPENAI)) {
|
|
continue;
|
|
}
|
|
|
|
const delta = parsed.choices?.[0]?.delta;
|
|
let textualToolCallConverted = false;
|
|
let toolCallIdCoerced = false;
|
|
let splitMixedReasoningContent = false;
|
|
const thinkParsed = applyThinkTag(thinkState, delta);
|
|
|
|
// Split combined reasoning+content deltas into separate SSE events.
|
|
// Standard OpenAI streaming never mixes both fields in one delta;
|
|
// clients (e.g. LobeChat) may skip content when reasoning_content
|
|
// is present, causing the first content token to be lost.
|
|
if (delta?.reasoning_content && delta?.content) {
|
|
// Shallow-clone only the mutated fields instead of a full
|
|
// structuredClone — the original `parsed` is a JSON-derived
|
|
// object so spreading preserves every field while skipping
|
|
// the deep-clone overhead (GC pressure, polyfill fallback).
|
|
const reasoningChunk = {
|
|
...parsed,
|
|
usage: undefined,
|
|
choices: [
|
|
{
|
|
...parsed.choices[0],
|
|
delta: { ...parsed.choices[0].delta, content: undefined },
|
|
finish_reason: null,
|
|
},
|
|
...parsed.choices.slice(1),
|
|
],
|
|
};
|
|
const rOutput = `data: ${JSON.stringify(reasoningChunk)}\n\n`;
|
|
passthroughAccumulatedReasoning = appendBoundedText(
|
|
passthroughAccumulatedReasoning,
|
|
delta.reasoning_content
|
|
);
|
|
totalContentLength += delta.reasoning_content.length;
|
|
clientPayloadCollector.push(reasoningChunk);
|
|
reqLogger?.appendConvertedChunk?.(rOutput);
|
|
controller.enqueue(encoder.encode(rOutput));
|
|
delete delta.reasoning_content;
|
|
splitMixedReasoningContent = true;
|
|
}
|
|
|
|
// Track whether we need to re-serialize (separate from injectedUsage
|
|
// to avoid blocking subsequent finish_reason / usage mutations)
|
|
const needsReserialization =
|
|
splitMixedReasoningContent ||
|
|
thinkParsed ||
|
|
hadReasoningAlias ||
|
|
(delta?.content === "" && delta?.reasoning_content);
|
|
|
|
// T18: Track if we saw tool calls & accumulate for call log
|
|
if (delta?.tool_calls && delta.tool_calls.length > 0) {
|
|
passthroughHasToolCalls = true;
|
|
lastToolCallChunkTime = now;
|
|
for (const tc of delta.tool_calls) {
|
|
// Note: sanitizeStreamingChunk above already coerces non-string
|
|
// tool_call IDs, but this defensive check catches edge cases
|
|
// where sanitize didn't run (e.g. flush path shortcuts).
|
|
if (tc?.id != null && typeof tc.id !== "string") {
|
|
tc.id = String(tc.id);
|
|
toolCallIdCoerced = true;
|
|
}
|
|
// Key by index first — id only appears on the first delta in OpenAI streaming
|
|
let key: string;
|
|
if (Number.isInteger(tc?.index)) {
|
|
key = `idx:${tc.index}`;
|
|
} else if (tc?.id != null) {
|
|
key = `id:${tc.id}`;
|
|
} else {
|
|
key = `seq:${++passthroughToolCallSeq}`;
|
|
}
|
|
const existing = passthroughToolCalls.get(key);
|
|
const deltaArgs =
|
|
typeof tc?.function?.arguments === "string" ? tc.function.arguments : "";
|
|
if (!existing) {
|
|
passthroughToolCalls.set(key, {
|
|
id: tc?.id != null ? String(tc.id) : null,
|
|
index: Number.isInteger(tc?.index) ? tc.index : passthroughToolCalls.size,
|
|
type: tc?.type || "function",
|
|
function: {
|
|
name: tc?.function?.name || "",
|
|
arguments: deltaArgs,
|
|
},
|
|
});
|
|
} else {
|
|
if (tc?.id) existing.id = existing.id || String(tc.id);
|
|
if (tc?.function?.name && !existing.function.name)
|
|
existing.function.name = tc.function.name;
|
|
existing.function.arguments += deltaArgs;
|
|
}
|
|
}
|
|
}
|
|
|
|
const content = delta?.content;
|
|
if (typeof content === "string") {
|
|
totalContentLength += content.length;
|
|
|
|
if (!contentAfterToolSeen) {
|
|
const toolTs = toolFinishTime || pendingToolFinishTime;
|
|
const lastChunkTs = lastToolCallChunkTime;
|
|
if (toolTs || lastChunkTs) {
|
|
contentAfterToolSeen = true;
|
|
try {
|
|
recordToolLatency(
|
|
provider || "unknown",
|
|
toolTs ? now - toolTs : null,
|
|
lastChunkTs ? now - lastChunkTs : null
|
|
);
|
|
} catch {} // best-effort telemetry — must never break the stream
|
|
pendingToolFinishTime = null;
|
|
}
|
|
}
|
|
}
|
|
const reasoningDelta = getReadableReasoningValue(delta);
|
|
if (reasoningDelta) {
|
|
totalContentLength += reasoningDelta.length;
|
|
}
|
|
{
|
|
const guarded = applyTextualToolCallStreamingGuard(
|
|
parsed as Record<string, unknown>
|
|
);
|
|
parsed = guarded.parsed as typeof parsed;
|
|
textualToolCallConverted = guarded.textualToolCallConverted;
|
|
}
|
|
if (reasoningDelta)
|
|
passthroughAccumulatedReasoning = appendBoundedText(
|
|
passthroughAccumulatedReasoning,
|
|
reasoningDelta
|
|
);
|
|
|
|
const extracted = extractUsage(parsed);
|
|
if (extracted) {
|
|
usage = extracted;
|
|
}
|
|
|
|
const isFinishChunk = parsed.choices?.[0]?.finish_reason;
|
|
|
|
if (isFinishChunk) {
|
|
passthroughSawFinishReason = true;
|
|
}
|
|
|
|
if (isFinishChunk && passthroughHasToolCalls) {
|
|
toolFinishTime = now;
|
|
try {
|
|
markToolFinish(sessionId);
|
|
} catch {} // best-effort bookkeeping write — a miss just skips latency correlation
|
|
}
|
|
|
|
// T18: Normalize finish_reason to 'tool_calls' if tool calls were used
|
|
if (
|
|
isFinishChunk &&
|
|
passthroughHasToolCalls &&
|
|
parsed.choices[0].finish_reason !== "tool_calls"
|
|
) {
|
|
parsed.choices[0].finish_reason = "tool_calls";
|
|
// If we modify it, we must output the modified object
|
|
if (!injectedUsage && hasValidUsage(parsed.usage)) {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
}
|
|
if (
|
|
isFinishChunk &&
|
|
!hasValidUsage(parsed.usage) &&
|
|
!expectsOpenAIUsageOnlyChunk
|
|
) {
|
|
const estimated = estimateUsage(body, totalContentLength, FORMATS.OPENAI);
|
|
parsed.usage = filterUsageForFormat(estimated, FORMATS.OPENAI);
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
usage = estimated;
|
|
injectedUsage = true;
|
|
} else if (isFinishChunk && usage) {
|
|
const buffered = addBufferToUsage(usage);
|
|
parsed.usage = filterUsageForFormat(buffered, FORMATS.OPENAI);
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
} else if (textualToolCallConverted) {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
} else if (
|
|
idFixed ||
|
|
needsReserialization ||
|
|
toolCallIdCoerced ||
|
|
hadNonStringToolCallId ||
|
|
hadNonStringTopLevelId ||
|
|
restoredOpenAIToolName
|
|
) {
|
|
output = `data: ${JSON.stringify(parsed)}\n\n`;
|
|
injectedUsage = true;
|
|
}
|
|
}
|
|
|
|
clientPayload = parsed;
|
|
} catch {
|
|
// Skip non-JSON data lines silently — don't forward garbage to clients.
|
|
// Upstream providers sometimes return plain-text errors (HTML, rate-limit
|
|
// messages) in the SSE stream that would break downstream JSON decoders.
|
|
continue;
|
|
}
|
|
}
|
|
|
|
if (!injectedUsage) {
|
|
if (line.startsWith("data:") && !line.startsWith("data: ")) {
|
|
output = "data: " + line.slice(5) + "\n\n";
|
|
} else {
|
|
output = line + "\n\n";
|
|
}
|
|
}
|
|
|
|
output = passthroughEventPrefix.prefixData(output, line);
|
|
|
|
if (clientPayload) {
|
|
clientPayloadCollector.push(clientPayload);
|
|
}
|
|
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
if (failurePayload) {
|
|
let failureHandled = false;
|
|
if (onFailure) {
|
|
try {
|
|
failureHandled = onFailure(failurePayload) === true;
|
|
} catch (e) {
|
|
console.debug(`[STREAM] onFailure callback error:`, e);
|
|
}
|
|
}
|
|
clearIdleTimer();
|
|
if (!failureHandled) {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
controller.error(
|
|
markPendingRequestCleared(new Error(failurePayload.message || "Upstream failure"))
|
|
);
|
|
return;
|
|
}
|
|
if (!trimmed) {
|
|
clearPendingPassthroughEvent();
|
|
}
|
|
continue;
|
|
}
|
|
|
|
// Translate mode
|
|
if (!trimmed) continue;
|
|
|
|
if (state?.upstreamError) {
|
|
continue;
|
|
}
|
|
|
|
const parsed = parseSSELine(trimmed);
|
|
if (!parsed) continue;
|
|
|
|
if (upstreamErrorForwarded) continue;
|
|
|
|
if (parsed.error) {
|
|
const output = formatTranslatedStreamError(parsed, sourceFormat);
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
upstreamErrorForwarded = true;
|
|
doneSent = true;
|
|
continue;
|
|
}
|
|
|
|
// #5786 — drop replayed Responses-API events (identical/lower sequence_number
|
|
// re-sent on an upstream reconnect) so their deltas are not glued twice into
|
|
// the translated client stream.
|
|
if (
|
|
targetFormat === FORMATS.OPENAI_RESPONSES &&
|
|
isDuplicateResponsesSequence((parsed as JsonRecord).sequence_number)
|
|
) {
|
|
continue;
|
|
}
|
|
|
|
if (shouldDropResponsesCommentary && dropCommentary(parsed as JsonRecord)) continue;
|
|
|
|
providerPayloadCollector.push(parsed);
|
|
|
|
if (parsed && parsed.done) {
|
|
continue;
|
|
}
|
|
|
|
if (parsed.choices?.[0]?.delta?.tool_calls) {
|
|
lastToolCallChunkTime = now;
|
|
}
|
|
if (parsed.choices?.[0]?.finish_reason === "tool_calls") {
|
|
toolFinishTime = now;
|
|
try {
|
|
markToolFinish(sessionId);
|
|
} catch {} // best-effort bookkeeping write — a miss just skips latency correlation
|
|
}
|
|
|
|
// Track content length and accumulate for call log (from raw provider chunk, so content is never missed)
|
|
// Do this before translation so we capture content regardless of translator output shape
|
|
|
|
// Claude format
|
|
if (parsed.delta?.text) {
|
|
const t = parsed.delta.text;
|
|
totalContentLength += t.length;
|
|
if (state?.accumulatedContent !== undefined && typeof t === "string")
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, t);
|
|
}
|
|
if (parsed.delta?.thinking) {
|
|
const t = parsed.delta.thinking;
|
|
totalContentLength += t.length;
|
|
if (state?.accumulatedReasoning !== undefined && typeof t === "string")
|
|
state.accumulatedReasoning = appendBoundedText(state.accumulatedReasoning, t);
|
|
}
|
|
|
|
// OpenAI format
|
|
if (parsed.choices?.[0]?.delta?.content) {
|
|
const c = parsed.choices[0].delta.content;
|
|
if (typeof c === "string") {
|
|
totalContentLength += c.length;
|
|
if (state?.accumulatedContent !== undefined)
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, c);
|
|
} else if (Array.isArray(c)) {
|
|
for (const part of c) {
|
|
if (part?.text && typeof part.text === "string") {
|
|
totalContentLength += part.text.length;
|
|
if (state?.accumulatedContent !== undefined)
|
|
state.accumulatedContent = appendBoundedText(
|
|
state.accumulatedContent,
|
|
part.text
|
|
);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
const openAiDelta = parsed.choices?.[0]?.delta;
|
|
const openAiReasoning = getReadableReasoningValue(openAiDelta);
|
|
if (openAiReasoning) {
|
|
totalContentLength += openAiReasoning.length;
|
|
if (state?.accumulatedReasoning !== undefined)
|
|
state.accumulatedReasoning = appendBoundedText(
|
|
state.accumulatedReasoning,
|
|
openAiReasoning
|
|
);
|
|
}
|
|
// Mirror only client-unsupported reasoning aliases into `reasoning_content`.
|
|
if (!openAiReasoning) {
|
|
const delta = openAiDelta;
|
|
const r = getUnsupportedReasoningValue(delta);
|
|
if (typeof r === "string" && r.length > 0) {
|
|
parsed.choices[0].delta.reasoning_content = r;
|
|
delete parsed.choices[0].delta.thinking;
|
|
delete parsed.choices[0].delta.thought;
|
|
totalContentLength += r.length;
|
|
if (state?.accumulatedReasoning !== undefined)
|
|
state.accumulatedReasoning = appendBoundedText(state.accumulatedReasoning, r);
|
|
}
|
|
}
|
|
|
|
// Gemini / Cloud Code format - may have multiple parts
|
|
// Cloud Code API wraps in { response: { candidates: [...] } }, so unwrap.
|
|
// Only applies to Gemini-family formats — skip for OpenAI, Claude, etc.
|
|
const isGeminiFormat =
|
|
targetFormat === FORMATS.GEMINI || targetFormat === FORMATS.ANTIGRAVITY;
|
|
const geminiChunk = isGeminiFormat ? unwrapGeminiChunk(parsed) : parsed;
|
|
if (geminiChunk.candidates?.[0]?.content?.parts) {
|
|
for (const part of geminiChunk.candidates[0].content.parts) {
|
|
if (part.text && typeof part.text === "string") {
|
|
totalContentLength += part.text.length;
|
|
if (state?.accumulatedContent !== undefined)
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, part.text);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Generic fallback: delta string, top-level content/text (e.g. some SSE payloads)
|
|
if (state?.accumulatedContent !== undefined) {
|
|
if (typeof (parsed as JsonRecord).delta === "string") {
|
|
const d = (parsed as JsonRecord).delta as string;
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, d);
|
|
totalContentLength += d.length;
|
|
}
|
|
if (typeof (parsed as JsonRecord).content === "string") {
|
|
const c = (parsed as JsonRecord).content as string;
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, c);
|
|
totalContentLength += c.length;
|
|
}
|
|
if (typeof (parsed as JsonRecord).text === "string") {
|
|
const t = (parsed as JsonRecord).text as string;
|
|
state.accumulatedContent = appendBoundedText(state.accumulatedContent, t);
|
|
totalContentLength += t.length;
|
|
}
|
|
}
|
|
|
|
const translateHasContent =
|
|
typeof parsed.delta?.text === "string" ||
|
|
typeof parsed.choices?.[0]?.delta?.content === "string" ||
|
|
Boolean(getAnyReasoningValue(parsed.choices?.[0]?.delta));
|
|
if (translateHasContent && !contentAfterToolSeen) {
|
|
const toolTs = toolFinishTime || pendingToolFinishTime;
|
|
const lastChunkTs = lastToolCallChunkTime;
|
|
if (toolTs || lastChunkTs) {
|
|
contentAfterToolSeen = true;
|
|
try {
|
|
recordToolLatency(
|
|
provider || "unknown",
|
|
toolTs ? now - toolTs : null,
|
|
lastChunkTs ? now - lastChunkTs : null
|
|
);
|
|
} catch {} // best-effort telemetry — must never break the stream
|
|
pendingToolFinishTime = null;
|
|
}
|
|
}
|
|
|
|
// Extract usage
|
|
const extracted = extractUsage(parsed);
|
|
if (extracted) {
|
|
if (!state.usage) {
|
|
state.usage = extracted;
|
|
} else {
|
|
const su = state.usage as Record<string, number>;
|
|
const eu = extracted as Record<string, number>;
|
|
if (eu.prompt_tokens > 0) su.prompt_tokens = eu.prompt_tokens;
|
|
if (eu.completion_tokens > 0) su.completion_tokens = eu.completion_tokens;
|
|
if (eu.total_tokens > 0) su.total_tokens = eu.total_tokens;
|
|
if (eu.input_tokens > 0) su.input_tokens = eu.input_tokens;
|
|
if (eu.output_tokens > 0) su.output_tokens = eu.output_tokens;
|
|
if (eu.cache_read_input_tokens > 0)
|
|
su.cache_read_input_tokens = eu.cache_read_input_tokens;
|
|
if (eu.cache_creation_input_tokens > 0)
|
|
su.cache_creation_input_tokens = eu.cache_creation_input_tokens;
|
|
if (eu.cached_tokens > 0) su.cached_tokens = eu.cached_tokens;
|
|
if (eu.reasoning_tokens > 0) su.reasoning_tokens = eu.reasoning_tokens;
|
|
}
|
|
}
|
|
|
|
// Translate: targetFormat -> openai -> sourceFormat
|
|
const translated = translateResponse(targetFormat, sourceFormat, parsed, state);
|
|
|
|
// Log OpenAI intermediate chunks (if available)
|
|
for (const item of getOpenAIIntermediateChunks(translated)) {
|
|
const openaiOutput = formatSSE(item, FORMATS.OPENAI);
|
|
reqLogger?.appendOpenAIChunk?.(openaiOutput);
|
|
}
|
|
|
|
if (translated?.length > 0) {
|
|
for (const item of translated) {
|
|
emitTranslatedClientItem(controller, item);
|
|
}
|
|
}
|
|
}
|
|
},
|
|
|
|
async flush(controller) {
|
|
// Clean up idle watchdog timer
|
|
if (idleTimer) {
|
|
clearIdleTimer();
|
|
}
|
|
if (streamTimedOut) {
|
|
return;
|
|
}
|
|
if (upstreamErrorForwarded) {
|
|
clearPendingRequestFromStream();
|
|
return;
|
|
}
|
|
try {
|
|
const remaining = decoder.decode();
|
|
if (remaining) buffer += remaining;
|
|
let normalizedTailLines: string[] = [];
|
|
if (multilineSseDataLineNormalizer.hasPending()) {
|
|
const tailLines = buffer ? [buffer, ""] : [""];
|
|
normalizedTailLines = multilineSseDataLineNormalizer.normalize(tailLines);
|
|
buffer = "";
|
|
}
|
|
|
|
if (mode === STREAM_MODE.PASSTHROUGH) {
|
|
const tailProcessorContext = {
|
|
getSkipPassthroughEvent: () => skipPassthroughEvent,
|
|
setSkipPassthroughEvent: (value: boolean) => {
|
|
skipPassthroughEvent = value;
|
|
},
|
|
clearPendingPassthroughEvent,
|
|
shouldAbortOnClaudeLifecycle: (payload: unknown) =>
|
|
shouldInjectClaudeEmptyResponseBeforeCurrentEvent(
|
|
claudeEmptyResponseLifecycle,
|
|
payload
|
|
),
|
|
emitClaudeEmptyStreamErrorAndAbort: () =>
|
|
emitClaudeEmptyStreamErrorAndAbort(controller),
|
|
isClaudeEventPayload,
|
|
updateClaudeEmptyResponseLifecycle: (payload: unknown) =>
|
|
updateClaudeEmptyResponseLifecycle(claudeEmptyResponseLifecycle, payload),
|
|
passthroughEventPrefix,
|
|
emitConvertedOutput: (output: string) => {
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
},
|
|
pushProviderPayload: (payload: unknown) => providerPayloadCollector.push(payload),
|
|
pushClientPayload: (payload: unknown) => clientPayloadCollector.push(payload),
|
|
setPassthroughResponsesId: (value: string) => {
|
|
passthroughResponsesId = value;
|
|
},
|
|
setUsage: (value: unknown) => {
|
|
usage = value as UsageTokenRecord;
|
|
},
|
|
addTotalContentLength: (value: number) => {
|
|
totalContentLength += value;
|
|
},
|
|
appendPassthroughContent: (value: string) => {
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
value
|
|
);
|
|
},
|
|
appendPassthroughReasoning: (value: string) => {
|
|
passthroughAccumulatedReasoning = appendBoundedText(
|
|
passthroughAccumulatedReasoning,
|
|
value
|
|
);
|
|
},
|
|
getResponsesReasoningKey,
|
|
markResponsesReasoningSummarySeen: (key: string) => {
|
|
passthroughResponsesReasoningSummarySeen.add(key);
|
|
},
|
|
emitSyntheticResponsesReasoningSummary: (payload: Record<string, unknown>) =>
|
|
emitSyntheticResponsesReasoningSummary(controller, payload),
|
|
passthroughResponsesOutputItems,
|
|
passthroughResponsesPendingFunctionCalls,
|
|
getPassthroughResponsesCurrentFunctionCallKey: () =>
|
|
passthroughResponsesCurrentFunctionCallKey,
|
|
setPassthroughResponsesCurrentFunctionCallKey: (value: string | null) => {
|
|
passthroughResponsesCurrentFunctionCallKey = value;
|
|
},
|
|
hasPassthroughToolCalls: () => passthroughToolCalls.size > 0,
|
|
toResponsesCompletedWithToolCalls: (parsed: JsonRecord) =>
|
|
toResponsesCompletedWithToolCalls(parsed, [
|
|
...passthroughToolCalls.values(),
|
|
]) as JsonRecord,
|
|
restoreOpenAIToolNames: (parsed: JsonRecord) =>
|
|
restoreOpenAIToolNames(parsed, toolNameMap),
|
|
};
|
|
|
|
for (const line of normalizedTailLines) {
|
|
if (processBufferedPassthroughLine(line, tailProcessorContext)) {
|
|
return;
|
|
}
|
|
}
|
|
|
|
const bufferedLine = buffer.trim();
|
|
if (skipPassthroughEvent || /^event:\s*keepalive\b/i.test(bufferedLine)) {
|
|
skipPassthroughEvent = false;
|
|
clearPendingPassthroughEvent();
|
|
} else if (buffer) {
|
|
let output = buffer;
|
|
if (buffer.startsWith("data:") && !buffer.startsWith("data: ")) {
|
|
output = "data: " + buffer.slice(5);
|
|
}
|
|
const bufferedPayload = parseSSELine(bufferedLine);
|
|
if (bufferedPayload) {
|
|
providerPayloadCollector.push(bufferedPayload);
|
|
if (
|
|
shouldInjectClaudeEmptyResponseBeforeCurrentEvent(
|
|
claudeEmptyResponseLifecycle,
|
|
bufferedPayload
|
|
)
|
|
) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
}
|
|
if (isClaudeEventPayload(bufferedPayload)) {
|
|
updateClaudeEmptyResponseLifecycle(claudeEmptyResponseLifecycle, bufferedPayload);
|
|
}
|
|
clientPayloadCollector.push(bufferedPayload);
|
|
|
|
if (typeof bufferedPayload === "object" && !Array.isArray(bufferedPayload)) {
|
|
const flushedParsed = bufferedPayload as JsonRecord;
|
|
const flushedType =
|
|
typeof flushedParsed.type === "string" ? flushedParsed.type : "";
|
|
const isResponses = flushedType.startsWith("response.");
|
|
const isClaude = isClaudeEventPayload(flushedParsed);
|
|
if (isResponses) {
|
|
const idsNormalized = normalizeResponsesSseIds(flushedParsed);
|
|
const usageNormalized = normalizeUsage(flushedParsed);
|
|
if (idsNormalized || usageNormalized) {
|
|
output = `data: ${JSON.stringify(flushedParsed)}\n\n`;
|
|
}
|
|
} else if (!isClaude) {
|
|
const { changed: flushChanged, hasFinishReason } =
|
|
normalizeFinalOpenAIStreamChunk(flushedParsed, toolNameMap);
|
|
// #7800: track finish_reason in the flush path too, so a
|
|
// final chunk without trailing newline still suppresses the
|
|
// synthetic finish_reason synthesis.
|
|
if (hasFinishReason) passthroughSawFinishReason = true;
|
|
if (flushChanged) {
|
|
output = `data: ${JSON.stringify(flushedParsed)}\n\n`;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if (!bufferedLine) output = passthroughEventPrefix.flush() || output;
|
|
output = passthroughEventPrefix.prefixData(output, buffer);
|
|
if (output && !output.endsWith("\n\n")) {
|
|
output = output.endsWith("\n") ? `${output}\n` : `${output}\n\n`;
|
|
}
|
|
reqLogger?.appendConvertedChunk?.(output);
|
|
controller.enqueue(encoder.encode(output));
|
|
}
|
|
|
|
if (shouldInjectClaudeEmptyResponseOnFlush(claudeEmptyResponseLifecycle)) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
} else if (shouldInjectClaudeMissingFinalizersOnFlush(claudeEmptyResponseLifecycle)) {
|
|
emitSyntheticClaudeEmptyResponse(controller, {
|
|
includeContentBlock: false,
|
|
includeMessageDelta: !claudeEmptyResponseLifecycle.hasMessageDelta,
|
|
includeMessageStop: !claudeEmptyResponseLifecycle.hasMessageStop,
|
|
});
|
|
}
|
|
clearPendingPassthroughEvent();
|
|
|
|
if (passthroughBufferedTextualToolCallContent) {
|
|
// Flush any remaining buffered content as plain text.
|
|
// Previously gated on !includes("Arguments:"), which silently dropped
|
|
// incomplete tool-call headers (buffer held "Arguments:" but JSON was
|
|
// never finished before stream ended) — fix #3355 bug 2.
|
|
let flushOutput = "";
|
|
if (clientExpectsResponsesStream) {
|
|
const syntheticChunk = {
|
|
type: "response.output_text.delta",
|
|
delta: passthroughBufferedTextualToolCallContent,
|
|
};
|
|
flushOutput = `data: ${JSON.stringify(syntheticChunk)}\n\n`;
|
|
} else if (clientExpectsClaudeStream) {
|
|
const syntheticChunk = {
|
|
type: "content_block_delta",
|
|
index: 0,
|
|
delta: {
|
|
type: "text_delta",
|
|
text: passthroughBufferedTextualToolCallContent,
|
|
},
|
|
};
|
|
flushOutput = `data: ${JSON.stringify(syntheticChunk)}\n\n`;
|
|
} else {
|
|
const syntheticChunk = buildSyntheticChatChunk(passthroughResponsesId, model, {
|
|
content: passthroughBufferedTextualToolCallContent,
|
|
});
|
|
flushOutput = `data: ${JSON.stringify(syntheticChunk)}\n\n`;
|
|
}
|
|
reqLogger?.appendConvertedChunk?.(flushOutput);
|
|
controller.enqueue(encoder.encode(flushOutput));
|
|
passthroughAccumulatedContent = appendBoundedText(
|
|
passthroughAccumulatedContent,
|
|
passthroughBufferedTextualToolCallContent
|
|
);
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
}
|
|
|
|
const accR = passthroughAccumulatedReasoning;
|
|
const accC = passthroughAccumulatedContent;
|
|
const thinkFlush = flushThink(thinkState, passthroughResponsesId, accR, accC);
|
|
if (thinkFlush) {
|
|
passthroughAccumulatedReasoning = thinkFlush.reasoning;
|
|
passthroughAccumulatedContent = thinkFlush.content;
|
|
totalContentLength += thinkFlush.addedLength;
|
|
clientPayloadCollector.push(thinkFlush.syntheticChunk);
|
|
reqLogger?.appendConvertedChunk?.(thinkFlush.flushOutput);
|
|
controller.enqueue(encoder.encode(thinkFlush.flushOutput));
|
|
}
|
|
|
|
// Estimate usage if provider didn't return valid usage
|
|
if (!hasValidUsage(usage) && totalContentLength > 0) {
|
|
usage = estimateUsage(body, totalContentLength, sourceFormat || FORMATS.OPENAI);
|
|
}
|
|
|
|
if (hasValidUsage(usage)) {
|
|
logUsage(provider, usage, model, connectionId, apiKeyInfo);
|
|
} else {
|
|
appendRequestLog({
|
|
model,
|
|
provider,
|
|
connectionId,
|
|
tokens: null,
|
|
status: "200 OK",
|
|
}).catch(() => {});
|
|
}
|
|
if (!doneSent) {
|
|
// #7800: Some providers close the SSE stream without emitting a final
|
|
// chunk carrying a non-null finish_reason. OpenAI spec requires the
|
|
// terminal chunk to include finish_reason (e.g. "stop"); strict clients
|
|
// (pi CLI) reject the stream with "Stream ended without finish_reason".
|
|
// Synthesize a terminal chunk when the upstream omitted one.
|
|
if (shouldEmitDoneTerminator && !passthroughSawFinishReason) {
|
|
const syntheticFinishChunk = buildSyntheticChatChunk(
|
|
passthroughResponsesId,
|
|
model,
|
|
{},
|
|
passthroughHasToolCalls ? "tool_calls" : "stop"
|
|
);
|
|
const finishOutput = `data: ${JSON.stringify(syntheticFinishChunk)}\n\n`;
|
|
reqLogger?.appendConvertedChunk?.(finishOutput);
|
|
controller.enqueue(encoder.encode(finishOutput));
|
|
clientPayloadCollector.push(syntheticFinishChunk);
|
|
}
|
|
await emitFinalSseMetadata(controller, usage);
|
|
doneSent = true;
|
|
if (shouldEmitDoneTerminator) {
|
|
clientPayloadCollector.push({ done: true });
|
|
const doneOutput = "data: [DONE]\n\n";
|
|
reqLogger?.appendConvertedChunk?.(doneOutput);
|
|
controller.enqueue(encoder.encode(doneOutput));
|
|
}
|
|
}
|
|
// Notify caller for call log persistence (include full response body with accumulated content)
|
|
if (onComplete) {
|
|
try {
|
|
const u = usage as Record<string, unknown> | null;
|
|
const prompt = Number(u?.prompt_tokens ?? u?.input_tokens ?? 0);
|
|
const completion = Number(u?.completion_tokens ?? u?.output_tokens ?? 0);
|
|
let content = passthroughAccumulatedContent.trim() || "";
|
|
const finalBufferedTextualToolCall =
|
|
passthroughBufferedTextualToolCallContent.trim();
|
|
if (finalBufferedTextualToolCall) {
|
|
if (
|
|
collectPassthroughTextualToolCall(
|
|
finalBufferedTextualToolCall,
|
|
passthroughToolCalls,
|
|
allowedToolNames
|
|
)
|
|
) {
|
|
passthroughHasToolCalls = true;
|
|
}
|
|
passthroughBufferedTextualToolCallContent = "";
|
|
}
|
|
if (
|
|
content &&
|
|
collectPassthroughTextualToolCall(content, passthroughToolCalls, allowedToolNames)
|
|
) {
|
|
passthroughHasToolCalls = true;
|
|
content = "";
|
|
} else if (containsMalformedTextualToolCall(content, allowedToolNames)) {
|
|
content = "";
|
|
}
|
|
const message: Record<string, unknown> = {
|
|
role: "assistant",
|
|
content: content || null,
|
|
};
|
|
const reasoning = passthroughAccumulatedReasoning.trim();
|
|
if (reasoning) {
|
|
message.reasoning_content = reasoning;
|
|
}
|
|
if (passthroughToolCalls.size > 0) {
|
|
message.tool_calls = [...passthroughToolCalls.values()].sort(
|
|
(a, b) => a.index - b.index
|
|
);
|
|
}
|
|
// Hardening: log empty assistant response after tool completion
|
|
// for observability — helps diagnose Copilot "Sorry, no response was returned"
|
|
if (passthroughHasToolCalls && !content.trim() && !reasoning.trim()) {
|
|
console.warn(
|
|
`[STREAM] Empty assistant response after tool_calls completion (${provider || "provider"}:${model || "unknown"}) — sessionId=${sessionId}`
|
|
);
|
|
} else if (passthroughHasToolCalls && !content.trim() && reasoning.trim()) {
|
|
message.content = "";
|
|
}
|
|
|
|
const responseBody = {
|
|
choices: [
|
|
{
|
|
message,
|
|
finish_reason: passthroughHasToolCalls ? "tool_calls" : "stop",
|
|
},
|
|
],
|
|
usage: {
|
|
prompt_tokens: prompt,
|
|
completion_tokens: completion,
|
|
total_tokens: prompt + completion,
|
|
},
|
|
_streamed: true,
|
|
};
|
|
onComplete({
|
|
status: 200,
|
|
usage,
|
|
responseBody,
|
|
providerPayload: providerPayloadCollector.build(
|
|
buildStreamSummaryFromEvents(
|
|
providerPayloadCollector.getEvents(),
|
|
sourceFormat,
|
|
model
|
|
),
|
|
{ includeEvents: false }
|
|
),
|
|
clientPayload: clientPayloadCollector.build(responseBody, {
|
|
includeEvents: false,
|
|
}),
|
|
});
|
|
} catch (e) {
|
|
console.debug(`[STREAM] onComplete callback error (${model || "unknown"}):`, e);
|
|
}
|
|
} else {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
return;
|
|
}
|
|
|
|
// Translate mode: process remaining buffer
|
|
if (buffer.trim()) {
|
|
const parsed = parseSSELine(buffer.trim());
|
|
if (parsed && !parsed.done) {
|
|
providerPayloadCollector.push(parsed);
|
|
// Extract usage from remaining buffer — if the usage-bearing event
|
|
// (e.g. response.completed) is the last SSE line, it ends up here
|
|
// in the flush handler where extractUsage was not called.
|
|
// Non-destructive merge: some providers send usage across multiple
|
|
// events (e.g. prompt_tokens in message_start, completion_tokens
|
|
// in message_delta). Direct assignment would lose earlier data.
|
|
const extracted = extractUsage(parsed);
|
|
if (extracted) {
|
|
if (!state.usage) {
|
|
state.usage = extracted;
|
|
} else {
|
|
const su = state.usage as Record<string, number>;
|
|
const eu = extracted as Record<string, number>;
|
|
if (eu.prompt_tokens > 0) su.prompt_tokens = eu.prompt_tokens;
|
|
if (eu.completion_tokens > 0) su.completion_tokens = eu.completion_tokens;
|
|
if (eu.total_tokens > 0) su.total_tokens = eu.total_tokens;
|
|
if (eu.input_tokens > 0) su.input_tokens = eu.input_tokens;
|
|
if (eu.output_tokens > 0) su.output_tokens = eu.output_tokens;
|
|
if (eu.cache_read_input_tokens > 0)
|
|
su.cache_read_input_tokens = eu.cache_read_input_tokens;
|
|
if (eu.cache_creation_input_tokens > 0)
|
|
su.cache_creation_input_tokens = eu.cache_creation_input_tokens;
|
|
if (eu.cached_tokens > 0) su.cached_tokens = eu.cached_tokens;
|
|
if (eu.reasoning_tokens > 0) su.reasoning_tokens = eu.reasoning_tokens;
|
|
}
|
|
}
|
|
|
|
const translated = translateResponse(targetFormat, sourceFormat, parsed, state);
|
|
|
|
// Log OpenAI intermediate chunks
|
|
for (const item of getOpenAIIntermediateChunks(translated)) {
|
|
const openaiOutput = formatSSE(item, FORMATS.OPENAI);
|
|
reqLogger?.appendOpenAIChunk?.(openaiOutput);
|
|
}
|
|
|
|
if (translated?.length > 0) {
|
|
for (const item of translated) {
|
|
emitTranslatedClientItem(controller, item);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (state?.upstreamError) {
|
|
const err = state.upstreamError;
|
|
|
|
// Flush pending translation events BEFORE erroring the stream.
|
|
// This lets the openai-responses translator emit a proper
|
|
// `response.completed` with `status: "failed"` and close any
|
|
// open items (reasoning, tool calls, etc.), instead of silently
|
|
// aborting the stream and leaving partial items dangling.
|
|
try {
|
|
const flushed = translateResponse(targetFormat, sourceFormat, null, state);
|
|
if (flushed?.length > 0) {
|
|
for (const item of flushed) {
|
|
emitTranslatedClientItem(controller, item);
|
|
}
|
|
}
|
|
} catch {
|
|
// Swallow flush errors — the controller.error below is the
|
|
// terminal signal for the client.
|
|
}
|
|
|
|
let failureHandled = false;
|
|
if (onFailure) {
|
|
try {
|
|
failureHandled =
|
|
onFailure({
|
|
status: err.status,
|
|
message: err.message,
|
|
code: err.code,
|
|
type: err.type,
|
|
}) === true;
|
|
} catch (e) {
|
|
console.debug(`[STREAM] onFailure callback error (${model || "unknown"}):`, e);
|
|
}
|
|
}
|
|
|
|
const errorBody = buildErrorBody(err.status, err.message);
|
|
if (onComplete) {
|
|
try {
|
|
onComplete({
|
|
status: err.status,
|
|
usage: state?.usage,
|
|
responseBody: errorBody,
|
|
error: err.message,
|
|
errorCode: err.code,
|
|
providerPayload: providerPayloadCollector.build(
|
|
buildStreamSummaryFromEvents(
|
|
providerPayloadCollector.getEvents(),
|
|
targetFormat,
|
|
model
|
|
),
|
|
{ includeEvents: false }
|
|
),
|
|
clientPayload: clientPayloadCollector.build(errorBody, {
|
|
includeEvents: false,
|
|
}),
|
|
});
|
|
failureHandled = true;
|
|
} catch (e) {
|
|
console.debug(
|
|
`[STREAM] onComplete callback error in error path (${model || "unknown"}):`,
|
|
e
|
|
);
|
|
}
|
|
}
|
|
|
|
clearIdleTimer();
|
|
if (!failureHandled) {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
controller.error(
|
|
markPendingRequestCleared(new Error(err.message || "Upstream failure"))
|
|
);
|
|
return;
|
|
}
|
|
|
|
// Flush remaining events (only once at stream end)
|
|
const flushed = translateResponse(targetFormat, sourceFormat, null, state);
|
|
|
|
// Log OpenAI intermediate chunks for flushed events
|
|
for (const item of getOpenAIIntermediateChunks(flushed)) {
|
|
const openaiOutput = formatSSE(item, FORMATS.OPENAI);
|
|
reqLogger?.appendOpenAIChunk?.(openaiOutput);
|
|
}
|
|
|
|
if (flushed?.length > 0) {
|
|
for (const item of flushed) {
|
|
emitTranslatedClientItem(controller, item);
|
|
}
|
|
}
|
|
|
|
if (sourceFormat === FORMATS.CLAUDE) {
|
|
if (shouldInjectClaudeEmptyResponseOnFlush(claudeEmptyResponseLifecycle)) {
|
|
emitClaudeEmptyStreamErrorAndAbort(controller);
|
|
return;
|
|
} else if (shouldInjectClaudeMissingFinalizersOnFlush(claudeEmptyResponseLifecycle)) {
|
|
emitSyntheticClaudeEmptyResponse(controller, {
|
|
includeContentBlock: false,
|
|
includeMessageDelta: !claudeEmptyResponseLifecycle.hasMessageDelta,
|
|
includeMessageStop: !claudeEmptyResponseLifecycle.hasMessageStop,
|
|
});
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Usage injection strategy:
|
|
* Usage data (input/output tokens) is injected into the last content chunk
|
|
* or the finish_reason chunk rather than sent as a separate SSE event.
|
|
* This ensures all major clients (Claude CLI, Continue, Cursor) receive
|
|
* usage data even if they stop reading after the finish signal.
|
|
* The usage buffer (state.usage) accumulates across chunks and is only
|
|
* emitted once at stream end when merged into the final translated chunk.
|
|
*/
|
|
|
|
// Send [DONE] (only if not already sent during transform)
|
|
if (!doneSent) {
|
|
await emitFinalSseMetadata(controller, state?.usage as Record<string, unknown> | null);
|
|
doneSent = true;
|
|
if (shouldEmitDoneTerminator) {
|
|
clientPayloadCollector.push({ done: true });
|
|
const doneOutput = "data: [DONE]\n\n";
|
|
reqLogger?.appendConvertedChunk?.(doneOutput);
|
|
controller.enqueue(encoder.encode(doneOutput));
|
|
}
|
|
}
|
|
|
|
// Estimate usage if provider didn't return valid usage (for translate mode)
|
|
if (!hasValidUsage(state?.usage) && totalContentLength > 0) {
|
|
state.usage = estimateUsage(body, totalContentLength, sourceFormat);
|
|
}
|
|
|
|
if (hasValidUsage(state?.usage)) {
|
|
logUsage(state.provider || targetFormat, state.usage, model, connectionId, apiKeyInfo);
|
|
} else {
|
|
appendRequestLog({
|
|
model,
|
|
provider,
|
|
connectionId,
|
|
tokens: null,
|
|
status: "200 OK",
|
|
}).catch(() => {});
|
|
}
|
|
// Notify caller for call log persistence (include full response body with accumulated content)
|
|
if (onComplete) {
|
|
try {
|
|
const u = state?.usage as Record<string, unknown> | null | undefined;
|
|
const prompt = Number(u?.prompt_tokens ?? u?.input_tokens ?? 0);
|
|
const completion = Number(u?.completion_tokens ?? u?.output_tokens ?? 0);
|
|
let content = (state?.accumulatedContent ?? "").trim() || "";
|
|
const normalizedToolCalls: ToolCall[] = state?.toolCalls?.size
|
|
? [...state.toolCalls.values()]
|
|
.map((tc: Record<string, unknown>): ToolCall => ({
|
|
id: tc.id != null ? String(tc.id) : null,
|
|
index: (tc.index as number) ?? (tc.blockIndex as number) ?? 0,
|
|
type: (tc.type as string) ?? "function",
|
|
function: (tc.function as ToolCall["function"]) ?? {
|
|
name: (tc.name as string) ?? "",
|
|
arguments: "",
|
|
},
|
|
}))
|
|
.sort((a, b) => a.index - b.index)
|
|
: [];
|
|
const textualToolCall = parseTextualToolCallFromContent(content);
|
|
if (textualToolCall) {
|
|
normalizedToolCalls.push({
|
|
id: `call_${Date.now()}_${normalizedToolCalls.length}`,
|
|
index: normalizedToolCalls.length,
|
|
type: "function",
|
|
function: {
|
|
name: textualToolCall.name,
|
|
arguments: JSON.stringify(textualToolCall.args || {}),
|
|
},
|
|
});
|
|
content = "";
|
|
} else if (containsMalformedTextualToolCall(content, allowedToolNames)) {
|
|
content = "";
|
|
}
|
|
const reasoning = (state?.accumulatedReasoning ?? "").trim();
|
|
const message: Record<string, unknown> = {
|
|
role: "assistant",
|
|
content: content || null,
|
|
};
|
|
if (reasoning) {
|
|
message.reasoning_content = reasoning;
|
|
}
|
|
const hasToolCalls = normalizedToolCalls.length > 0;
|
|
if (hasToolCalls) {
|
|
message.tool_calls = normalizedToolCalls;
|
|
}
|
|
const responseBody = {
|
|
choices: [
|
|
{
|
|
message,
|
|
finish_reason: hasToolCalls ? "tool_calls" : "stop",
|
|
},
|
|
],
|
|
usage: {
|
|
prompt_tokens: prompt,
|
|
completion_tokens: completion,
|
|
total_tokens: prompt + completion,
|
|
},
|
|
_streamed: true,
|
|
};
|
|
onComplete({
|
|
status: 200,
|
|
usage: state?.usage,
|
|
responseBody,
|
|
providerPayload: providerPayloadCollector.build(
|
|
buildStreamSummaryFromEvents(
|
|
providerPayloadCollector.getEvents(),
|
|
targetFormat,
|
|
model
|
|
),
|
|
{ includeEvents: false }
|
|
),
|
|
clientPayload: clientPayloadCollector.build(responseBody, {
|
|
includeEvents: false,
|
|
}),
|
|
});
|
|
} catch (e) {
|
|
console.debug(
|
|
`[STREAM] onComplete callback error in flush (${model || "unknown"}):`,
|
|
e
|
|
);
|
|
}
|
|
} else {
|
|
clearPendingRequestFromStream();
|
|
}
|
|
} catch (error) {
|
|
console.log(`[STREAM] Error in flush (${model || "unknown"}):`, error.message || error);
|
|
}
|
|
},
|
|
cancel(reason) {
|
|
clearIdleTimer();
|
|
},
|
|
},
|
|
{ highWaterMark: 16384 },
|
|
{ highWaterMark: 16384 }
|
|
);
|
|
}
|
|
|
|
export default createSSEStream;
|
|
|
|
// Convenience functions for backward compatibility
|
|
export function createSSETransformStreamWithLogger(
|
|
targetFormat: string,
|
|
sourceFormat: string,
|
|
provider: string | null = null,
|
|
reqLogger: StreamLogger | null = null,
|
|
toolNameMap: unknown = null,
|
|
model: string | null = null,
|
|
connectionId: string | null = null,
|
|
body: unknown = null,
|
|
onComplete: ((payload: StreamCompletePayload) => void) | null = null,
|
|
apiKeyInfo: unknown = null,
|
|
onFailure: ((payload: StreamFailurePayload) => void | Promise<void>) | null = null,
|
|
copilotCompatibleReasoning = false,
|
|
suppressThinkClose = false,
|
|
customToolNames: ReadonlySet<string> = new Set(),
|
|
requestToolIdentityMap: Map<string, { namespace: string; name: string }> | null = null
|
|
) {
|
|
return createSSEStream({
|
|
mode: STREAM_MODE.TRANSLATE,
|
|
targetFormat,
|
|
sourceFormat,
|
|
provider,
|
|
reqLogger,
|
|
toolNameMap,
|
|
model,
|
|
connectionId,
|
|
apiKeyInfo,
|
|
body,
|
|
onComplete,
|
|
onFailure,
|
|
copilotCompatibleReasoning,
|
|
suppressThinkClose,
|
|
customToolNames,
|
|
requestToolIdentityMap,
|
|
});
|
|
}
|
|
|
|
export function createPassthroughStreamWithLogger(
|
|
provider: string | null = null,
|
|
reqLogger: StreamLogger | null = null,
|
|
toolNameMap: unknown = null,
|
|
model: string | null = null,
|
|
connectionId: string | null = null,
|
|
body: unknown = null,
|
|
onComplete: ((payload: StreamCompletePayload) => void) | null = null,
|
|
apiKeyInfo: unknown = null,
|
|
onFailure: ((payload: StreamFailurePayload) => void | Promise<void>) | null = null,
|
|
clientResponseFormat: string | null = null,
|
|
requestToolIdentityMap: Map<string, { namespace: string; name: string }> | null = null
|
|
) {
|
|
return createSSEStream({
|
|
mode: STREAM_MODE.PASSTHROUGH,
|
|
provider,
|
|
reqLogger,
|
|
toolNameMap,
|
|
model,
|
|
connectionId,
|
|
apiKeyInfo,
|
|
body,
|
|
onComplete,
|
|
onFailure,
|
|
clientResponseFormat,
|
|
requestToolIdentityMap,
|
|
});
|
|
}
|
|
|
|
export { COLORS } from "./usageTracking.ts";
|