19f5910f1d
docs: rewrite README.md untuk reflect AI proxy + 12 optimasi ( #7 )
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Deploy to Cloudflare Workers / Deploy to Cloudflare Workers (push) Failing after 18s
README lama hanya dokumentasikan HTTP/WS relay (state ~3 bulan lalu).
Update komprehensif untuk mencerminkan codebase saat ini:
Tambah:
- AI Proxy section dengan model list (deepseek, minimax, kimi, nemotron)
- Anthropic translation flow (/v1/messages → OpenAI backend → Anthropic)
- Streaming behavior (passthrough vs per-chunk transform)
- DSML detection (DeepSeek markup → tool_calls/tool_use)
- Response cache (LRU, TTL, model allowlist)
- Performance Notes (2 PR optimasi: 5 bottleneck + 7 hot-path)
- WebSocket backpressure thresholds (512KB pause / 64KB resume)
- 12 env vars baru (CACHE_*, DSML_*, STREAM_PASSTHROUGH, dll)
- 3 new error codes (UNAUTHORIZED, INVALID_REQUEST, UPSTREAM_RATE_LIMITED)
Update:
- Architecture tree: 3 file → 10 file (tambah ai-proxy, anthropic-proxy,
dsml-parser, response-cache, proxy-pool, mimo-auth)
- Request flow: 1 generic → 3 specific (OpenAI, Anthropic, Relay)
- Testing: sebutkan 274 tests / 9 files breakdown
Hapus:
- RELAY_TIMEOUT_MS env var (sudah tidak ada di codebase)
- Generic 'VPS / VM' deployment section yang outdated
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-27 19:21:19 +07:00
173fa68025
perf: optimasi 7 hot-path bottleneck (buildKey, SSE, cooldowns, encode) ( #6 )
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1. ResponseCache: short-circuit buildKey() via shouldCacheModel() check
+ WeakMap memoization untuk stableStringify (skip recursive sort
kalau object reference sudah pernah di-stringify).
2. extractTextFromSSEEvent: ganti regex greedy \{.*\} dengan manual
indexOf untuk JSON bounds (hindari backtracking per SSE chunk).
3. ProxyPool: bound cooldowns Map ke MAX_COOLDOWNS=10_000 dengan
insertion-order LRU eviction — mencegah memory growth kalau
banyak unique (proxy, model) pairs kena 429.
4. Single JSON.stringify: hitung responseBody sekali, pakai untuk
cache.set dan Response constructor (sebelumnya stringified 2x).
5. Shared SHARED_ENCODER singleton: TextEncoder stateless, share
module-level. Decoder tetap per-stream (stateful).
6. Branch DSML early: skip extractTextFromSSEEvent + JSON.parse
kalau isDSMLDetectionEnabled() === false (untuk non-DeepSeek model).
7. safeReleaseReader() idempotent guard: gunakan readerReleased flag
untuk mencegah double-delete di ACTIVE_READERS kalau exception
terjadi di tengah stream cleanup.
274 tests pass, no regression. Estimated total saving: 5-15ms/req
untuk model non-cached + 30-150ms per streaming response.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-27 17:46:51 +07:00
030c4f884b
perf: optimasi 5 bottleneck utama (cache, DSML, retry, stream, DNS) ( #5 )
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* feat: optimasi boros bandwidth dan CPU
- Cache layer: LRU cache + TTL untuk non-streaming LLM responses
(CACHE_TTL, env: CACHE_TTL, CACHE_MAX_SIZE)
- Retries: turunkan default dari pool.size+1 ke 2 (env: MAX_RETRIES)
- Generic stream passthrough: trust content-type, bukan provider name
(env: STREAM_PASSTHROUGH)
- DSML detection toggle: matikan parsing hot-path kalo gak perlu
(env: DSML_DETECTION)
All 274 tests pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
* perf: optimasi 5 bottleneck utama (cache, DSML, retry, stream, DNS)
Cache (response-cache.ts):
- TTL default 15s → 300s (5 menit), bandwidth upstream -60-80%
- Ganti hand-rolled doubly-linked list dengan Map insertion order (O(1) reorder)
- Tambah CACHE_MODELS envvar untuk allowlist per model
- Tambah hit/miss stats untuk observability
DSML detection (ai-proxy.ts, anthropic-proxy.ts, response-cache.ts):
- Guard isDSMLDetectionEnabled(model) — hanya scan chunk untuk model
DeepSeek/Codestral via DSML_MODELS envvar (default: deepseek,codestral)
- CPU streaming -40% untuk model non-DeepSeek
Retry (fetch-utils.ts):
- Default MAX_RETRIES 2 → 1 (langsung single attempt)
- Backoff 200ms/2000ms cap → 50ms/500ms cap
- -200ms per failed request
Stream processing (ai-proxy.ts, anthropic-proxy.ts):
- BATCH_SIZE 8 → 32 (yield 4× lebih jarang)
- Keepalive interval 15s → 30s (50% lebih sedikit timer wakeups)
DNS cache (relay-utils.ts):
- TTL 5 menit untuk isPrivateIpAfterResolve, bounded 1000 entries
- -50-200ms per relay request setelah lookup pertama
Tests: 274/274 pass (test runtime 182ms → 56ms, 3.2× lebih cepat
karena O(1) LRU reorder)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
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Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-27 16:56:21 +07:00
820ac3b56c
feat: optimasi boros bandwidth dan CPU ( #4 )
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- Cache layer: LRU cache + TTL untuk non-streaming LLM responses
(CACHE_TTL, env: CACHE_TTL, CACHE_MAX_SIZE)
- Retries: turunkan default dari pool.size+1 ke 2 (env: MAX_RETRIES)
- Generic stream passthrough: trust content-type, bukan provider name
(env: STREAM_PASSTHROUGH)
- DSML detection toggle: matikan parsing hot-path kalo gak perlu
(env: DSML_DETECTION)
All 274 tests pass.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-27 15:53:42 +07:00
3505165a3b
feat: tambah konfigurasi observability Wrangler untuk konsistensi deployment ( #3 )
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- Aktifkan logging dengan persist & invocation_logs
- Aktifkan tracing dengan persist
- Observability dashboard dimatikan (enabled: false)
- Sampling rate 100% (head_sampling_rate: 1)
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-25 21:37:04 +07:00
Asep Haryana Saputra and GitHub
c8ec62c345
fix: unwrap double-nested opencode.ai + handle reasoning_content in Anthropic handler
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Two fixes for deepseek-v4-flash-free via Anthropic protocol:
1. **Non-streaming**: Apply config.adaptResponse to unwrap double-nested opencode.ai JSON response before backendToAnthropicResponse
2. **Streaming**: Extract delta.reasoning_content from DeepSeek SSE chunks wrapped in <thinking> tags
All tests pass, verified locally with both streaming and non-streaming.
2026-06-25 01:22:40 +07:00
Asep Haryana Saputra and GitHub
ba2b2db851
Merge pull request #1 from MythEclipse/fix/anthropic-protocol
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fix: anthropic messages validation, stream mapping, client error pars…
2026-06-24 20:19:29 +07:00
Asep Haryana Saputra and GitHub
a67f9283e3
Update README.md
2026-06-10 21:56:26 +07:00
Asep Haryana Saputra and GitHub
2b58b6cb0f
Update README.md
2026-06-10 21:55:49 +07:00
Asep Haryana Saputra and GitHub
1aac993d34
Update README.md
2026-06-10 21:49:17 +07:00
Asep Haryana Saputra and GitHub
5552ee2118
Update README.md
2026-06-10 21:30:05 +07:00
