Startup no longer needs arguments: the config is created on first launch, a busy port is swapped for a free one, the console is open by default, and the browser lands on a setup wizard that downloads a ready-made .cmf model and wires it into routing (managed server + routing.default) when you press Finish. Download progress was reported from curl's own meter, which prints a full 0→100% bar for the -L redirect hop before the transfer starts — so every job showed 100% and then hung. Progress now comes from bytes on disk against the size from the HuggingFace tree (or a HEAD request). The UI and the gateway also disagreed about the output file name, so a finished download never marked its card as downloaded; the gateway now returns the exact stem and the UI sends it back verbatim for download, progress and delete. Featured models are read live from the infosave HF account in both the wizard and Import, and all 432 UI strings now exist in every one of the 7 languages.
14 KiB
14 KiB
Changelog
All notable changes to this project are documented here. The format is based on Keep a Changelog.
[0.2.37] - 2026-08-06
Added
- Zero-argument startup:
cortiq-gatewaynow runs with no flags. The config is created on first launch (repoconfig/gateway.tomlwhen run from a checkout, otherwise~/.cortiq-gateway/gateway.toml, or$CORTIQ_GATEWAY_HOME), the browser opens by itself, and a busy port is swapped for the next free one.--no-browser/--no-port-searchopt out;--configstill takes an explicit path. - No admin token required by default: the console opens without auth. Set
--admin-token,[admin].tokenor[admin].token_envto protect it. - First-run wizard (
/admin#/onboarding): pick a language, download a ready-made.cmfmodel, and finish — Finish connects every completed download as a local model, starts itscortiq serveand pointsrouting.defaultat it. Nothing to edit by hand. - Ready-made models are read live from the
infosaveHuggingFace account in both the wizard and Import, with per-variant quantizations, real sizes, an "already downloaded" mark and a delete button. Newly published models appear without a gateway update. - Windows-friendly data dir:
%APPDATA%/%LOCALAPPDATA%/%USERPROFILE%are used before falling back, so running the exe fromDownloadsnever writes intoProgram Files. - Full localization: all 432 UI strings now exist in every language (en, ru, de, fr, es, zh, tr). Import, Settings → Local models, the model form and the whole first-run wizard were English-only in de/fr/es/zh/tr before this release.
Fixed
- Download progress jumped straight to 100% and then hung: with
-L, curl prints a complete0→100%progress bar for the redirect hop before the transfer starts, and that bar was being parsed as the download's progress. Progress is now derived from bytes on disk against the size reported by the HuggingFace tree (or aHEADrequest), so the bar and the reporteddone / totalbytes track the real transfer. - Re-downloading over an existing file reported 100% instantly: the previous copy is now removed before the transfer starts, so the size poller cannot read stale bytes.
- Downloaded models were not recognised: the admin UI derived the output file name
independently of the gateway, so a finished download did not mark its card as downloaded and the
delete button never appeared. The gateway now returns the exact output stem (
local_name) and the UI sends it back verbatim for download, progress and delete. - Registering a local model produced an unusable pool entry: with
manage_server = falsethe model was added to the static pool pointing atcortiq_server_url, where nothing listens — every call failed withupstream unavailable. Registration now always creates a managed server the gateway runs itself, and repairs a stale static entry for the same file. - Cancel did nothing during a sharded download: cancellation was only checked between part files, so a multi-GB part had to finish first. The running transfer is now aborted immediately and the partial output removed.
- Deleting a model left the config broken: removing a
.cmfnow also unregisters the model and stops its managed server instead of leaving a pool entry pointing at a missing file. - Two variants of one repo collapsed into a single job row; jobs are now keyed by repo + variant.
- Curl's stderr is captured into the job log, so a failed download explains itself instead of showing a bare exit code.
[0.2.36] - 2026-07-25
Fixed
- Docker image failed to start when built fresh (
GLIBC_2.39 not found): the floatingrust:1-slimbuilder had drifted to Debian trixie while the runtime stayed on bookworm, so a locally built container crashed on startup. Builder and runtime are now pinned to the same Debian release (trixie). - Docker model downloads (curl exit code 23): the runtime image was missing
curl, and the default models dir ($HOME/.cortiq-gateway/models) was not writable by the container user, so importing a ready.cmfmodel failed with a write error. The image now bundlescurl, keeps all gateway state under/app/data(CORTIQ_GATEWAY_HOME), and runs as root so bind-mounted host folders (Docker Desktop on Windows/macOS) are writable; pass--user 10001to harden when not using host bind mounts. - Docker Compose persistence: added a
cortiq-datavolume at/app/dataso downloaded models and stats survivedocker compose up --force-recreate. - Clear import errors: a models dir that cannot be created now fails the import immediately with the path and reason instead of a cryptic curl exit code; curl exits 23 (write error) and 22 (HTTP error) are annotated with a human-readable hint in the job log.
[0.2.35] - 2026-07-23
Fixed
- Streaming Pipeline System Prompt Merging: Fixed system prompt injection in
run_streamso configured model system prompts and reasoning suppression directives are properly passed into streaming requests. - CMF Reasoning Mode Compatibility: Fully integrated with
cortiq-enginev0.5.17 for sampler-level logit bias reasoning token suppression and zero-token thinking bypass.
[0.2.34] - 2026-07-23
Added
- Responsive mobile admin console: Added a hamburger navigation drawer, touch-friendly controls, phone-sized forms and cards, scrollable tables, compact toolbars, safe-area support, and mobile bottom-sheet dialogs across the admin interface.
- Accessible mobile interactions: Navigation and dialogs now support backdrop dismissal, Escape-key closing, reduced-motion preferences, and explicit accessibility attributes.
Fixed
- Add model dialog: Restored the missing
opthelper import that prevented the Add model button from opening its form. - Local model settings on phones: Reflowed managed CMF server controls to avoid clipped fields and actions on narrow screens.
[0.2.31] - 2026-07-22
Added
- Structured O(1) Nyström Attention & Reasoning Control: Enhanced settings drawer with structured parameter sections for O(1) Nyström Streaming Attention (
o1_m,o1_window,o1_sink), Generation (Temp, Top-P, MaxTokens, System Prompt), Reasoning ("Disable reasoning" toggle mapping tothink_budget = 0for Qwen3/3.5 models), and Runtime (skip_mtpviaCMF_MTP=0). - Persistent Admin Token Configuration: Support for explicit
tokenfield inconfig/gateway.tomlunder[admin]block to prevent authorization invalidation across restarts.
Fixed
- JavaScript UI Helper Restoration: Restored
opt(...)helper inweb/js/ui.jsandweb/js/views/import.jsto ensure HF model import modal options render smoothly. - Engine Command Flag Accuracy: Fixed
CMF_MTP=0environment flag pass-through forcortiq serveprocesses.
[0.2.30] - 2026-07-22
Added
- Per-Model Generation & Reasoning Parameters: Full support in Web UI and Gateway core for per-model generation defaults: Temperature, Top-P, Max Tokens, Think Budget (Reasoning mode), O(1) Constant-Memory Streaming Attention (
o1), MTP (Multi-Token Prediction toggleskip_mtp), and default System Prompt.
Fixed
- Duplicate Local Model Registration: Fixed
duplicate managed model idconflict inregister_importby cleanly routing managed CMF models directly into[[cmf.servers]]with automatic free port allocation without pushing duplicate entries to[[models]].
Fixed
- Quantization Badge & Title for Pre-Converted Models: Automatically detect quantization (
Q1,Q1T) for ready-to-run.cmfmodels (e.g.infosave/Bonsai-27Bcmf) from repo name and downloaded filename, resolving defaultQ8_2Fbadge fallback. Updated section title to "Загрузки / Конвертации" ("Downloads & Conversions").
Fixed
- Automatic CMF Local Server Lifecycle: Registering an imported
.cmfmodel automatically adds it to[[cmf.servers]]and reloads the runtime (cmf_runtime::manage), automatically spawningcortiq serveon port 8090 so chat completion requests route seamlessly withoutupstream unavailableerrors.
Fixed
- Multi-GB Ready CMF Download Stream: Replaced HTTP stream decoder with a streaming process downloader (
curl) for pre-converted.cmfmodels to support multi-gigabyte Hugging Face LFS repositories without 30s/60s socket timeouts. - Ready CMF Quantization & UI Labels: Set correct quantization badges (
Q1,Q1T) for featured ready-to-run.cmfmodels and removed misleading "converting" log messages for direct downloads.
Fixed
- Direct Ready CMF Download: Importing pre-converted
.cmfmodel repositories (e.g.infosave/Bonsai-8B_2bit_cmf) directly streams the ready.cmffile from Hugging Face instead of attempting a safetensors conversion withoutconfig.json.
Added
- New Quantization Schemes: Added support for
Q4_TILED(q4t),Q1T(1.58-bit ternary),Q1S(1-bit sparse),Q1P(1-bit PTQ error diffusion), andQ1(pure binary) in converter backend and web admin UI. - Featured Ready-to-Run .cmf Models: Added 1-tap download cards for pre-converted
.cmfmodels (infosave/Bonsai-1.7Bcmf,infosave/Bonsai-8B_2bit_cmf,infosave/Bonsai-27Bcmf).
[Unreleased]
Added
- Docker Compose quickstart (
docker-compose.yml+config/gateway.compose.toml): gateway + a local Ollama model in one command. GHCR badge in the READMEs.
[0.2.2] - 2026-07-01
Added
- Latency benchmark vs LiteLLM and Portkey: a reproducible harness (
bench/, instant mock backend + Apache Bench) andBENCHMARKS.md. Measured gateway overhead: Cortiq ~57k req/s / p99 1 ms vs Portkey ~5.8k / p99 9 ms vs LiteLLM ~1.2k / p99 59 ms. - Accuracy benchmark: task-type routing on natural-language prompts (
bench/accuracy.py,bench/tasks.jsonl) — allaigate semantic router 100% (37/37) vs a keyword heuristic 32% (competitors have no semantic task router). - Router docs (
docs/ROUTER.md+.ru.md): what the allaigate/cortiq-router does, how to point the gateway at it, API contract, pricing, and the currentLAUNCH1$1 promo. - Docker image: multi-stage
Dockerfile(non-root, ~160 MB) +docker.ymlworkflow publishing toghcr.io/infosave2007/cortiq-gateway(:latest,:X.Y.Z,:edge; linux/amd64 + arm64 on release tags).docker runworks out of the box.
[0.2.1] - 2026-06-30
Added
- OpenAI Models (
GET /v1/models): lists the pool + the virtualcortiq-auto. - OpenAI Completions (legacy) (
POST /v1/completions): non-streaming and streaming (text_completion), routed through the same pipeline. - Native passthrough (
POST /route): returns the routing decision (task, complexity, candidate models) without calling a model.
All inbound protocol adapters are now implemented.
[0.2.0] - 2026-06-30
Added
- Streaming (SSE) end-to-end:
POST /v1/chat/completionswith"stream": trueforwards provider SSE chunks verbatim, withX-Cortiq-*routing headers and token usage tapped from the final chunk for statistics. Failover applies before the first byte. Live streaming output in the admin Playground (/admin/api/test/stream). - Cross-platform Windows binaries in releases (
x86_64-pc-windows-msvc) and a cross-platform CI test matrix (ubuntu/windows/macos); secure token RNG viagetrandom. - Anthropic provider (outbound):
POST /v1/messageswithsystemextraction,x-api-key+anthropic-versionheaders, and streaming that translates Anthropic SSE events into the unified OpenAI wire format. - Anthropic inbound adapter:
POST /v1/messages(non-streaming JSON and streaming SSE), so Claude-native clients can target the gateway. - Embeddings:
POST /v1/embeddingsinbound + providerembed(); embedding models are now resolvable from the pool. - Semantic cache: embedding-based cache that returns a stored answer for prompts
semantically near a previous one (cosine threshold, TTL, ring buffer), skipping the
model call. Partitioned by routing signature; hit-rate and cost saved are tracked and
shown on the dashboard; configurable from Settings (
[cache]). - MCP server (
POST /mcp, JSON-RPC 2.0): exposes routing to MCP-native orchestrators via two tools —cortiq_route(classify → decision) andcortiq_chat(route → answer).
[0.1.0] - 2026-06-30
Added
- Embedded admin web console at
/admin— a build-free single-page app compiled into the binary viarust-embed. Manage models, routing, protocols, virtual keys and secrets from the browser; changes are hot-reloaded (no restart). - Multilingual UI in 7 languages (en, ru, de, fr, es, zh, tr) with browser auto-detection, plus light/dark themes.
- Admin API under
/admin/api/*(Bearer admin token): config, models (CRUD + probe), routing, protocols, settings, keys, secrets, stats, requests, and a playgroundtestendpoint. - Hot config reload — config-derived state lives behind
arc-swap; writes validate → atomically rewrite the TOML → swap, with no restart. - Request statistics — in-memory aggregates, per-minute time buckets, and a ring buffer of recent requests, appended to a JSONL file and replayed on startup.
- Prometheus
GET /metricsendpoint. - Secret store (
config/secrets.toml, mode0600) — provider keys can be set from the UI without writing them intogateway.toml; values are never returned by the API. - English documentation as the primary language, with Russian translations
(
README.ru.md,docs/*.ru.md).
Changed
- The Anthropic provider now returns a clear error instead of panicking when called (the adapter is still planned for v0.2).
[0.0.1]
- Initial skeleton: OpenAI Chat Completions inbound adapter, OpenAI-compatible outbound provider, routing table with fallback and graceful degradation, and cost/token accounting.