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merge origin/release/v3.8.51 into #12330 after #12327 drain

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2026-09-01 16:29:23 -03:00
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16
.github/dependabot.yml vendored
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@@ -58,6 +58,22 @@ updates:
# on the VPS — so keep auto-bumps frozen (no update-types = ignore every version).
# Migrate it intentionally, not via dependabot (#4050).
- dependency-name: "@huggingface/transformers"
# onnxruntime-node is the OTHER HALF of the @huggingface/transformers pair frozen
# above: the hoisted copy must equal the exact version transformers pins, or npm
# nests a second ABI-incompatible native copy (contract test
# tests/unit/onnxruntime-single-copy.test.ts, pair established in #9962). A solo
# bump can never be correct — it only ever moves together with transformers, in
# the same deliberate migration PR. Freezing it keeps the production group PRs
# (e.g. #12219) from being born red on the pair contract.
- dependency-name: "onnxruntime-node"
# eslint-plugin-react-hooks is pinned to 7.0.1 by a contract test
# (tests/unit/eslint-react-hooks-version-pinned.test.ts) until the 7.1.1 rule set
# is adopted deliberately — that adoption needs a full cold lint run and its own
# PR (the #12146 react-hooks migration finished on 2026-09-01, so the path is
# open; the bump still must not ride a dependabot group, where it reds the
# development group PRs, e.g. #12220). Remove this ignore in the adoption PR
# together with the pin test.
- dependency-name: "eslint-plugin-react-hooks"
- package-ecosystem: "github-actions"
directory: "/"

4
AGENTS.md
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@@ -83,7 +83,7 @@ Client → /v1/chat/completions (Next.js route)
API routes follow a consistent pattern: `Route → CORS preflight → Zod body validation → Optional auth (extractApiKey/isValidApiKey) → API key policy enforcement → Handler delegation (open-sse)`. No global Next.js middleware — interception is route-specific.
**Combo routing** (`open-sse/services/combo.ts`): 19 public strategies (priority, weighted, fill-first, round-robin, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline). Each target calls `handleSingleModel()` which wraps `handleChatCore()` with per-target error handling and circuit breaker checks. The `fusion` strategy is the exception: it fans out to a panel of models in parallel, then a judge model synthesizes one final answer (`open-sse/services/fusion.ts`). See `docs/routing/AUTO-COMBO.md` for the 15-factor Auto-Combo scoring + the full strategy table and `docs/architecture/RESILIENCE_GUIDE.md` for the 3 resilience layers.
**Combo routing** (`open-sse/services/combo.ts`): 19 public strategies (priority, weighted, fill-first, round-robin, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline). Each target calls `handleSingleModel()` which wraps `handleChatCore()` with per-target error handling and circuit breaker checks. The `fusion` strategy is the exception: it fans out to a panel of models in parallel, then a judge model synthesizes one final answer (`open-sse/services/fusion.ts`). See `docs/routing/AUTO-COMBO.md` for the 16-factor Auto-Combo scoring + the full strategy table and `docs/architecture/RESILIENCE_GUIDE.md` for the 3 resilience layers.
---
@@ -422,7 +422,7 @@ For any non-trivial change, read the matching deep-dive first:
| Repo navigation | `docs/architecture/REPOSITORY_MAP.md` |
| Architecture | `docs/architecture/ARCHITECTURE.md` |
| Engineering reference | `docs/architecture/CODEBASE_DOCUMENTATION.md` |
| Auto-Combo (15-factor scoring, 19 strategies) | `docs/routing/AUTO-COMBO.md` |
| Auto-Combo (16-factor scoring, 19 strategies) | `docs/routing/AUTO-COMBO.md` |
| Resilience (3 mechanisms) | `docs/architecture/RESILIENCE_GUIDE.md` |
| Reasoning replay | `docs/routing/REASONING_REPLAY.md` |
| Skills framework | `docs/frameworks/SKILLS.md` |

10
README.md
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@@ -431,7 +431,7 @@ All **19** strategies — mix & match per combo step:
<tr>
<td align="center">17</td>
<td nowrap><code>auto</code></td>
<td>15-factor live scoring across every connection 🤖</td>
<td>16-factor live scoring across every connection 🤖</td>
</tr>
<tr>
<td align="center">18</td>
@@ -445,7 +445,7 @@ All **19** strategies — mix & match per combo step:
</tr>
</table>
<sub>The Auto-Combo engine scores every candidate on **15 factors** (health, quota, cost, latency, task fit, quality, session availability…) — see [`docs/routing/AUTO-COMBO.md`](docs/routing/AUTO-COMBO.md).</sub>
<sub>The Auto-Combo engine scores every candidate on **16 factors** (health, quota, cost, latency, task fit, quality, session availability…) — see [`docs/routing/AUTO-COMBO.md`](docs/routing/AUTO-COMBO.md).</sub>
##
@@ -1183,10 +1183,10 @@ Métricas canônicas em 2026-08-24: **1.029 vídeos únicos** · **11.132.922 vi
| 🐙 **GitHub** — follow for releases & tips | [@diegosouzapw](https://github.com/diegosouzapw) |
| 💬 **Discord** | [discord.gg/U47eFqAXCn](https://discord.gg/U47eFqAXCn) |
| ✈️ **Telegram** | [t.me/omnirouteOficial](https://t.me/omnirouteOficial) |
| 🟢 **WhatsApp — 🌍 Global** | [join the group](https://chat.whatsapp.com/FvuCbrpZmQ6I85n2vW5QIC?s=cl&p=a&mlu=4) |
| 🟢 **WhatsApp — 🌍 Global** | [join the group](https://chat.whatsapp.com/FvuCbrpZmQ6I85n2vW5QIC?s=cl&p=a&mlu=4) |
| 🟢 **WhatsApp — 🇧🇷 Brasil** | [entrar no grupo](https://chat.whatsapp.com/KWgatljAjmbELQory59Oti?s=cl&p=a&mlu=4) |
| 🌍 **Website** | [omniroute.online](https://omniroute.online) |
| 🌍 **🌍StHub OmniRoute Community (free)** | [portal sthub](https://portal.sthub.com.br/communities/groups/st-hub/channels/Omniroute-World-8kRjmK) |
| 🌍 **🌍StHub OmniRoute Community (free)** | [portal sthub](https://portal.sthub.com.br/communities/groups/st-hub/channels/Omniroute-World-8kRjmK) |
| 📦 **Source code** | [github.com/diegosouzapw/OmniRoute](https://github.com/diegosouzapw/OmniRoute) |
| 🐛 **Report a bug** | [open an issue](https://github.com/diegosouzapw/OmniRoute/issues) — attach `npm run system-info` output |
| 🤝 **Contribute** | [CONTRIBUTING.md](CONTRIBUTING.md) · [Branching & Release Model](docs/ops/BRANCHING_MODEL.md) · pick a `good first issue` |
@@ -1269,7 +1269,7 @@ Métricas canônicas em 2026-08-24: **1.029 vídeos únicos** · **11.132.922 vi
<tr><td nowrap><b><a href="docs/compression/COMPRESSION_RULES_FORMAT.md">Compression Rules Format</a></b></td><td>JSON rule-pack schemas for Caveman and RTK filters</td></tr>
<tr><td nowrap><b><a href="docs/compression/COMPRESSION_LANGUAGE_PACKS.md">Compression Language Packs</a></b></td><td>Language detection and Caveman rule-pack authoring</td></tr>
<tr><td nowrap><b><a href="docs/architecture/RESILIENCE_GUIDE.md">Resilience Guide</a></b></td><td>Circuit breakers, cooldowns, queue, anti-thundering herd, TLS spoofing</td></tr>
<tr><td nowrap><b><a href="docs/routing/AUTO-COMBO.md">Auto-Combo Engine</a></b></td><td>15-factor scoring, mode packs, self-healing</td></tr>
<tr><td nowrap><b><a href="docs/routing/AUTO-COMBO.md">Auto-Combo Engine</a></b></td><td>16-factor scoring, mode packs, self-healing</td></tr>
<tr><td nowrap><b><a href="docs/ops/PROXY_GUIDE.md">Proxy Guide</a></b></td><td>3-level proxy system, 1proxy marketplace, registry CRUD</td></tr>
<tr><td nowrap><b><a href="docs/reference/FREE_TIERS.md">Free Tiers</a></b></td><td>Consolidated directory: 38 documented recurring pools / 446 cataloged free-tier entries</td></tr>
<tr><td nowrap><b><a href="docs/guides/FEATURES.md">Features Gallery</a></b></td><td>Visual dashboard tour with screenshots</td></tr>

1
changelog.d/features/12214-usage-supported-capability.md Normal file
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@@ -0,0 +1 @@
- **feat(providers):** the provider plugin manifest now also advertises a `usage-supported` capability for the 46 providers whose usage API is accepted by the server and Dashboard routes, so integrators can distinguish "the server will serve quota for this provider" from "a fetcher is wired" without reading TypeScript. Discovery only — no fetcher or quota change. `usage-fetch` resolves on id or alias (the usage dispatcher accepts both); `usage-supported` resolves on id alone, matching the runtime guard `USAGE_SUPPORTED_PROVIDERS.includes(providerId)`. `USAGE_SUPPORTED_PROVIDERS` moved to a zero-dependency leaf (`open-sse/services/usage/supportedProviders.ts`) and is re-exported from `providers.ts`, mirroring the `fetcherProviders` leaf from #11903 and keeping the manifest a light module. ([#12214](https://github.com/diegosouzapw/OmniRoute/pull/12214)) — thanks @maxmad64bis

1
changelog.d/features/12317-reliability-scoring-factor.md Normal file
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@@ -0,0 +1 @@
- **feat(auto-combo):** Auto-Combo scoring can now weigh how often a provider/model has actually succeeded. The engine already carried that number on every candidate — 24 hours of usage history behind a ten-sample floor, real-time metrics otherwise — and the scoring function never read it, while the weight table described `stability` as if it did. `reliability` (`1 - failureRate`, with the same field precedence and the same rate-bounding the speed ranking already uses, so a corrupt reading means "nothing observed" rather than "fails every call") is now a declared factor shipping at weight `0`, so routing is unchanged until an operator gives it one, and the `stability` description now matches what that factor computes ([#12317](https://github.com/diegosouzapw/OmniRoute/pull/12317))

2
docs/architecture/ARCHITECTURE.md
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@@ -370,7 +370,7 @@ Key capabilities:
**auto**, lkgp, context-optimized, context-relay, **fusion**, plus a fallback path) —
auto is the headline addition in v3.8.0; `fusion` (panel fan-out + judge synthesis,
`open-sse/services/fusion.ts`) is new in v3.8.36.
- **15-factor scoring**: quota, health, inverse cost, inverse latency, task fit and
- **16-factor scoring**: quota, health, inverse cost, inverse latency, task fit and
ten more. The canonical table of factors and their default weights lives in
[`docs/routing/AUTO-COMBO.md`](../routing/AUTO-COMBO.md) — restating it here would
give it a second place to go stale.

2
docs/architecture/REPOSITORY_MAP.md
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@@ -419,7 +419,7 @@ open-sse/
| `AUTHZ_GUIDE.md` | Authorization pipeline (`classify` → `policies` → `enforce`) |
| `RESILIENCE_GUIDE.md` | Circuit breaker + cooldown + model lockout |
| `STEALTH_GUIDE.md` | TLS fingerprinting (JA3/JA4), Claude Code CCH, MITM cert |
| `AUTO-COMBO.md` | Auto Combo engine (15-factor scoring, 6 mode packs, virtual factory) |
| `AUTO-COMBO.md` | Auto Combo engine (16-factor scoring, 6 mode packs, virtual factory) |
### Compression

2
docs/architecture/RESILIENCE_GUIDE.md
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@@ -652,4 +652,4 @@ default `test:integration`, chaos and heap self-skip (without `RUN_CHAOS_INT`/`-
- [Architecture Guide](./ARCHITECTURE.md) — System architecture and internals
- [User Guide](../guides/USER_GUIDE.md) — Providers, combos, CLI integration
- [Auto-Combo Engine](../routing/AUTO-COMBO.md) — 15-factor scoring, mode packs
- [Auto-Combo Engine](../routing/AUTO-COMBO.md) — 16-factor scoring, mode packs

6
docs/diagrams/auto-combo-scoring.mmd
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@@ -1,13 +1,13 @@
%% Auto-Combo 15-factor scoring
%% Auto-Combo 16-factor scoring
%% Reflects: open-sse/services/autoCombo/scoring.ts (DEFAULT_WEIGHTS, sum = 1.0)
%% v3.8.50
%% svg-title: OmniRoute Auto-Combo 15-factor scoring
%% svg-title: OmniRoute Auto-Combo 16-factor scoring
%% svg-description: Flow from an incoming request through eligible candidates, the 15 weighted scoring factors, descending score sort, top-N selection, and sequential dispatch.
flowchart TB
Request["Incoming request"] --> Candidates["Eligible candidates<br/>(provider × model × account)"]
Candidates --> Score["Compute composite score<br/>per candidate"]
subgraph Factors["15-factor scoring weights (sum = 1.0)"]
subgraph Factors["16-factor scoring weights (sum = 1.0)"]
f1["quota (0.1429)"]
f2["health (0.1605)"]
f3["costInv (0.1429)"]

2
docs/diagrams/strategies-grid.svg
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@@ -95,7 +95,7 @@
<rect width="173" height="158" rx="10" fill="#161b22" stroke="#ffffff" stroke-opacity="0.07" stroke-width="1"/>
<text x="12" y="21" font-family="Consolas, 'Courier New', monospace" font-size="11" fill="#a78bfa">auto</text>
<circle cx="20" cy="79" r="4" fill="none" stroke="#c9d1d9" stroke-width="1.6"/><circle cx="20" cy="79" r="1.6" fill="#c9d1d9"/><path d="M 26,79 C 62,79 84,67.5 112,67.5" fill="none" stroke="#8b5cf6" stroke-opacity="0.55" stroke-width="1.6"/><rect x="116" y="38.0" width="26" height="11" rx="2.5" fill="#1c2330" stroke="#ffffff" stroke-opacity="0.10" stroke-width="1"/><text x="147" y="46.5" font-family="Consolas, 'Courier New', monospace" font-size="8.5" fill="#71717a">72</text><rect x="116" y="62.0" width="26" height="11" rx="2.5" fill="#1c2330" stroke="#7ee787" stroke-opacity="0.8" stroke-width="1"/><text x="147" y="70.5" font-family="Consolas, 'Courier New', monospace" font-size="8.5" fill="#71717a">91</text><rect x="116" y="86.0" width="26" height="11" rx="2.5" fill="#1c2330" stroke="#ffffff" stroke-opacity="0.10" stroke-width="1"/><text x="147" y="94.5" font-family="Consolas, 'Courier New', monospace" font-size="8.5" fill="#71717a">64</text><rect x="116" y="110.0" width="26" height="11" rx="2.5" fill="#1c2330" stroke="#ffffff" stroke-opacity="0.10" stroke-width="1"/><text x="147" y="118.5" font-family="Consolas, 'Courier New', monospace" font-size="8.5" fill="#71717a">55</text><circle r="2.8" fill="#a78bfa" opacity="0"><animateMotion path="M 26,79 C 62,79 84,67.5 110,67.5" begin="3.3s" dur="3.6s" repeatCount="indefinite"/><animate attributeName="opacity" values="0;1;1;0;0" keyTimes="0;0.02;0.3;0.33999999999999997;1" begin="3.3s" dur="3.6s" repeatCount="indefinite"/></circle>
<text x="12" y="148" font-family="Inter, 'Segoe UI', Arial, Helvetica, system-ui, sans-serif" font-size="9.5" fill="#71717a">live 15-factor scoring</text>
<text x="12" y="148" font-family="Inter, 'Segoe UI', Arial, Helvetica, system-ui, sans-serif" font-size="9.5" fill="#71717a">live 16-factor scoring</text>
</g><g transform="translate(796,456)">
<rect width="173" height="158" rx="10" fill="#161b22" stroke="#ffffff" stroke-opacity="0.07" stroke-width="1"/>
<text x="12" y="21" font-family="Consolas, 'Courier New', monospace" font-size="11" fill="#a78bfa">fusion</text>
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8
docs/frameworks/OPEN_SSE_ARCHITECTURE.md
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@@ -105,7 +105,7 @@ Resolves the request to a concrete `(provider, model, account, credentials)` tup
For `auto/*` models, this stage also:
- Runs the **15-factor scoring** algorithm (`services/autoCombo/`)
- Runs the **16-factor scoring** algorithm (`services/autoCombo/`)
- Selects a `provider+model` pair based on health, cost, latency, etc.
### Stage 2: Translate (translator/)
@@ -245,7 +245,7 @@ Supports **19 routing strategies** (see `src/shared/constants/routingStrategies.
| `reset-window` | Reset window-based routing |
| `headroom` | Most remaining quota headroom first |
| `strict-random` | Truly uniform (no quality weighting) |
| `auto` | Use 15-factor scoring (`autoCombo/`) |
| `auto` | Use 16-factor scoring (`autoCombo/`) |
| `lkgp` | Last known good provider first |
| `context-optimized` | Best for long-context requests |
| `fusion` | Fan out to a panel in parallel, then synthesize via a judge (`fusion.ts`) |
@@ -280,7 +280,7 @@ Services are **focused, single-purpose modules** that handlers compose. The big
### Routing & Combo
- `combo.ts` — entry point for combo-routed requests
- `services/autoCombo/` — 15-factor scoring, 8 auto routing strategies
- `services/autoCombo/` — 16-factor scoring, 8 auto routing strategies
- `wildcardRouter.ts` — matches wildcard routes (`gpt-*`)
- `modelFamilyFallback.ts` — T5 intra-family fallback
@@ -570,7 +570,7 @@ The routing engine has strict performance budgets:
- [ARCHITECTURE.md](../architecture/ARCHITECTURE.md) — high-level architecture
- [CODEBASE_DOCUMENTATION.md](../architecture/CODEBASE_DOCUMENTATION.md) — engineering reference
- [REPOSITORY_MAP.md](../architecture/REPOSITORY_MAP.md) — directory-by-directory
- [AUTO-COMBO.md](../routing/AUTO-COMBO.md) — 15-factor scoring
- [AUTO-COMBO.md](../routing/AUTO-COMBO.md) — 16-factor scoring
- [MCP-SERVER.md](./MCP-SERVER.md) — MCP server
- [A2A-SERVER.md](./A2A-SERVER.md) — A2A server
- Source: `open-sse/` (400+ files, ~143K LOC)

2
docs/getting-started/AUTO-COMBO-GUIDE.md
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@@ -214,7 +214,7 @@ Round-robin cycles through providers in order. Auto-combo **scores each provider
For developers and contributors, see the [Auto-Combo Technical Reference](../routing/AUTO-COMBO.md) for:
- Full 15-factor scoring algorithm
- Full 16-factor scoring algorithm
- Mode pack weight tables
- Implementation file paths
- API endpoints

2
docs/guides/FEATURES.md
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@@ -18,7 +18,7 @@ Visual guide to every section of the OmniRoute dashboard.
The v3.7.x → v3.8.0 cycle added zero-config auto routing, new providers, OAuth flows, deeper resilience, and a much richer CLI experience. Headline features below — full details further in the document and in linked specs.
- 🤖 **Auto Combo / Zero-config auto-routing** — use prefixes `auto/coding`, `auto/fast`, `auto/cheap`, `auto/offline`, `auto/smart`, `auto/lkgp`, `auto/chaos`. Backed by a 15-factor scoring engine and 6 curated **mode packs** (ship-fast, cost-saver, quality-first, offline-friendly, reliability-first, chaos-mode)
- 🤖 **Auto Combo / Zero-config auto-routing** — use prefixes `auto/coding`, `auto/fast`, `auto/cheap`, `auto/offline`, `auto/smart`, `auto/lkgp`, `auto/chaos`. Backed by a 16-factor scoring engine and 6 curated **mode packs** (ship-fast, cost-saver, quality-first, offline-friendly, reliability-first, chaos-mode)
- 🆕 **Command Code provider** (#2199) — first-class registration with model catalog and quota tracking
- 🆕 **Z.AI provider** — new free-tier provider with quota labels
- 🎬 **KIE media expansion** — extended catalog including video generation models

4
docs/guides/FREE_PROVIDER_RANKINGS.md
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@@ -238,7 +238,7 @@ provider that ships at least one strong free model.
`user_override → arena_elo → models_dev_tier → static table`). So after you connect
the top free providers, routing with `model: "auto"` (e.g. `auto/coding`) will
automatically prefer the higher-quality free models per request. See
[Auto-Combo](../routing/AUTO-COMBO.md) for the full 15-factor scoring.
[Auto-Combo](../routing/AUTO-COMBO.md) for the full 16-factor scoring.
---
@@ -248,7 +248,7 @@ provider that ships at least one strong free model.
providers, no credit card required.
- [Free Tiers directory](../reference/FREE_TIERS.md) — full catalog of free providers
and their limits.
- [Auto-Combo](../routing/AUTO-COMBO.md) — the 15-factor routing engine that consumes the
- [Auto-Combo](../routing/AUTO-COMBO.md) — the 16-factor routing engine that consumes the
same Arena ELO task-fitness data.
- [Environment variables](../reference/ENVIRONMENT.md) — `ARENA_ELO_SYNC_ENABLED` /
`ARENA_ELO_SYNC_INTERVAL` reference.

2
docs/guides/TIERS.md
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@@ -69,7 +69,7 @@ rate limits — circuit breaker recovers them on backoff.
Dashboard → **Tiers** → assign your providers. Defaults (from `tierDefaults.json`) are
sensible; edit when you have specific subscriptions to prioritize or providers to exclude.
Auto-Combo's 15-factor scoring also considers tier. See
Auto-Combo's 16-factor scoring also considers tier. See
[`docs/routing/AUTO-COMBO.md`](../routing/AUTO-COMBO.md).
## Telemetry

10
docs/i18n/ar/llm.txt
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@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/az/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/bg/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/bn/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/cs/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/da/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/de/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/es/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/fa/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/fi/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/fr/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/gu/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/he/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/hi/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/hu/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/id/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/in/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/it/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ja/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ko/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/mr/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ms/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/nl/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/no/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/phi/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/pl/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/pt-BR/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/pt/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ro/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ru/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/sk/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/sv/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/sw/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ta/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/te/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/th/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/tr/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/uk-UA/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/ur/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/vi/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/zh-CN/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

10
docs/i18n/zh-TW/llm.txt
View File

@@ -227,7 +227,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -267,7 +267,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -286,7 +286,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -445,7 +445,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -480,7 +480,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

13
docs/reference/PROVIDER_PLUGIN_MANIFEST.md
View File

@@ -48,7 +48,7 @@ The manifest contains:
- JSON-safe model metadata such as context length, vision/reasoning flags, and
unsupported params
- capability tags including `apikey`, `oauth`, `custom-executor`,
`passthrough-models`, `responses`, `sidecar-candidate`, and `usage-fetch`
`passthrough-models`, `responses`, `sidecar-candidate`, `usage-fetch`, and `usage-supported`
The manifest intentionally excludes:
@@ -74,6 +74,7 @@ re-reading the TypeScript sources.
| `custom-executor` | Runs a non-default executor, so it stays on the TypeScript path. |
| `sidecar-candidate` | Mirrors `sidecar.eligible` — safe to consider for sidecar import. |
| `usage-fetch` | Has a wired usage or quota fetcher (`getUsageForProvider`). |
| `usage-supported` | The usage API accepts this provider (`isSupportedUsageConnection`). |
`usage-fetch` is discovery only. It reports that OmniRoute knows how to read usage for the
provider; it does not activate fetching, change quota semantics, or imply that the
@@ -86,6 +87,16 @@ with aliases and is slightly longer than the number of tagged providers: entries
not chat providers in the manifest registry (for example the `firecrawl` search provider
and the `amazon-q` ACP provider) have no manifest entry to tag.
`usage-supported` answers whether the server and Dashboard usage routes accept a connection
for the provider. It mirrors `isSupportedUsageConnection()` (`src/lib/usage/providerLimits.ts`)
and `supportsProviderQuota()` (`src/shared/utils/providerQuotaVisibility.ts`), both gated by
`USAGE_SUPPORTED_PROVIDERS` (`open-sse/services/usage/supportedProviders.ts`). Unlike
`usage-fetch`, it is emitted on the provider id alone — the runtime guard does
`USAGE_SUPPORTED_PROVIDERS.includes(providerId)` with no alias resolution, so the manifest
keeps the same rule. The two tags have different perimeters: 4 providers carry only
`usage-fetch` (`opencode`, `opencode-zen`, `openrouter`, `xai`) and 1 carries only
`usage-supported` (`xiaomi-mimo-token-plan`), so one does not imply the other.
## Sidecar Use
Sidecars should treat `sidecar.eligible` as a conservative candidate signal, not

55
docs/routing/AUTO-COMBO.md
View File

@@ -184,31 +184,32 @@ See [#7992](https://github.com/diegosouzapw/OmniRoute/issues/7992) and [#7111](h
## How It Works (Persisted Auto-Combos)
The Auto-Combo Engine dynamically selects the best provider/model for each request using a **15-factor scoring function** (defined in `open-sse/services/autoCombo/scoring.ts` → `DEFAULT_WEIGHTS`). The default weights sum to `1.0`; custom weights are renormalized by `normalizeScoringWeights()`. Two of the fifteen — `cacheAffinity` and `resetWindowAffinity` — carry a default weight of `0`: they are still computed for every candidate, and `cacheAffinity` gates prompt-cache deduplication outside the score, so they are declared factors that simply do not vote by default.
The Auto-Combo Engine dynamically selects the best provider/model for each request using a **16-factor scoring function** (defined in `open-sse/services/autoCombo/scoring.ts` → `DEFAULT_WEIGHTS`). The default weights sum to `1.0`; custom weights are renormalized by `normalizeScoringWeights()`. Three of the sixteen — `cacheAffinity`, `resetWindowAffinity` and `reliability` — carry a default weight of `0`: they are still computed for every candidate, and `cacheAffinity` gates prompt-cache deduplication outside the score, so they are declared factors that simply do not vote by default.
![Auto-Combo 15-factor scoring](../diagrams/exported/auto-combo-scoring.svg)
![Auto-Combo 16-factor scoring](../diagrams/exported/auto-combo-scoring.svg)
> Source: [diagrams/auto-combo-scoring.mmd](../diagrams/auto-combo-scoring.mmd) (regenerate via `npm run docs:render-diagrams`). The filename is historical; the source and rendered diagram show all 15 factors declared in `DEFAULT_WEIGHTS`.
> Source: [diagrams/auto-combo-scoring.mmd](../diagrams/auto-combo-scoring.mmd) (regenerate via `npm run docs:render-diagrams`). The filename is historical; the source and rendered diagram show all 16 factors declared in `DEFAULT_WEIGHTS`.
| Factor | Default Weight | Description |
| :-------------------- | :------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `quota` | 0.1429 | Remaining quota / rate-limit headroom [0..1] |
| `health` | 0.1605 | Health score from circuit breaker (CLOSED=1.0, HALF_OPEN=0.5, OPEN=0.0) |
| `costInv` | 0.1429 | Inverse **blended** cost (60% input + 40% output token price, normalized) — cheaper = higher score |
| `latencyInv` | 0.1143 | Inverse p95 latency normalized to pool — faster = higher score |
| `taskFit` | 0.0762 | Task-type fitness (coding, review, planning, analysis, debugging, docs) |
| `stability` | 0.0476 | Variance-based stability (low latency stdDev / error rate) |
| `tierPriority` | 0.0476 | Account-tier priority — Ultra=1.0, Pro=0.67, Standard=0.33, Free=0.0 |
| `tierAffinity` | 0.0476 | Affinity between the candidate's tier and the manifest-recommended tier |
| `specificityMatch` | 0.0476 | Match between request specificity (manifest hint) and model tier |
| `contextAffinity` | 0.0476 | Affinity between the request's context-window need and the model's context window |
| `sessionAvailability` | 0.0476 | OAuth session availability of the candidate connection for this session (`getOAuthSessionAvailability()`; non-OAuth connections score 1.0) |
| `connectionDensity` | 0.0476 | Spreads load across connections of the same provider (anti-concentration) |
| `cacheAffinity` | 0.00 | Rendezvous-hash affinity toward the connection likeliest to already hold this request's prompt-cache prefix (`open-sse/services/combo/promptCacheAffinity.ts`); disabled by default (#8008) |
| `resetWindowAffinity` | 0.00 | Bias toward connections whose quota reset window is favorable (disabled by default) |
| `quality` | 0.03 | Feedback-driven output-quality signal from the routing-event quality tracker; candidates without observations receive a neutral 0.5 |
| Factor | Default Weight | Description |
| :-------------------- | :------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `quota` | 0.1429 | Remaining quota / rate-limit headroom [0..1] |
| `health` | 0.1605 | Health score from circuit breaker (CLOSED=1.0, HALF_OPEN=0.5, OPEN=0.0) |
| `costInv` | 0.1429 | Inverse **blended** cost (60% input + 40% output token price, normalized) — cheaper = higher score |
| `latencyInv` | 0.1143 | Inverse p95 latency normalized to pool — faster = higher score |
| `taskFit` | 0.0762 | Task-type fitness (coding, review, planning, analysis, debugging, docs) |
| `stability` | 0.0476 | Variance-based stability from latency standard deviation — a candidate whose response time swings scores lower |
| `tierPriority` | 0.0476 | Account-tier priority — Ultra=1.0, Pro=0.67, Standard=0.33, Free=0.0 |
| `tierAffinity` | 0.0476 | Affinity between the candidate's tier and the manifest-recommended tier |
| `specificityMatch` | 0.0476 | Match between request specificity (manifest hint) and model tier |
| `contextAffinity` | 0.0476 | Affinity between the request's context-window need and the model's context window |
| `sessionAvailability` | 0.0476 | OAuth session availability of the candidate connection for this session (`getOAuthSessionAvailability()`; non-OAuth connections score 1.0) |
| `connectionDensity` | 0.0476 | Spreads load across connections of the same provider (anti-concentration) |
| `cacheAffinity` | 0.00 | Rendezvous-hash affinity toward the connection likeliest to already hold this request's prompt-cache prefix (`open-sse/services/combo/promptCacheAffinity.ts`); disabled by default (#8008) |
| `resetWindowAffinity` | 0.00 | Bias toward connections whose quota reset window is favorable (disabled by default) |
| `quality` | 0.03 | Feedback-driven output-quality signal from the routing-event quality tracker; candidates without observations receive a neutral 0.5 |
| `reliability` | 0.00 | Observed success share, `1 - failureRate`, from 24h of usage history behind a ten-sample floor (real-time metrics otherwise); candidates with no observations read as 1.0. Disabled by default |
**Sum:** `0.1429 + 0.1605 + 0.1429 + 0.1143 + 0.0762 + (7 × 0.0476) + 0.00 + 0.00 + 0.03 = 1.0` as declared in `DEFAULT_WEIGHTS`; user-configured weights are renormalized into a distribution by `normalizeScoringWeights()` before scoring.
**Sum:** `0.1429 + 0.1605 + 0.1429 + 0.1143 + 0.0762 + (7 × 0.0476) + 0.00 + 0.00 + 0.03 + 0.00 = 1.0` as declared in `DEFAULT_WEIGHTS`; user-configured weights are renormalized into a distribution by `normalizeScoringWeights()` before scoring.
## Mode Packs
@@ -289,7 +290,7 @@ OmniRoute's combo engine supports **19 routing strategies** (declared in `src/sh
| `reset-window` | Prefer targets whose quota window resets soonest |
| `headroom` | Pick the target with the most remaining quota headroom |
| `strict-random` | Random without deduplication of repeats |
| `auto` | Use Auto Combo scoring (15-factor) — **recommended** |
| `auto` | Use Auto Combo scoring (16-factor) — **recommended** |
| `lkgp` | Last-Known-Good Path (pins to the last successful provider, then falls back to rules) |
| `context-optimized` | Pick target with best fit for current context size |
| `cache-optimized` | Reorder targets by prompt-cache affinity — the connection likeliest to already hold this request's cached prefix is tried first (`open-sse/services/combo/promptCacheAffinity.ts`, #8008) |
@@ -398,7 +399,7 @@ The Auto Combo engine doesn't require pre-defined combos. Instead, `open-sse/ser
3. Cross-references with `getProviderRegistry()` for model availability + pricing
4. For each tuple `(provider, model, connection)`, builds a `VirtualAutoComboCandidate`
5. Picks `connection.defaultModel` (or the registry's first model) as the dispatch target
6. Scores each candidate using the 15-factor `scorePool()` and the variant's weight pack
6. Scores each candidate using the 16-factor `scorePool()` and the variant's weight pack
7. Returns the resulting in-memory `AutoComboConfig` for `handleComboChat()` — never persisted to DB
This means **adding a new provider with `auto/*` enabled automatically expands the candidate pool** — no manual combo editing needed. The virtual combo is rebuilt per request, so newly-added or newly-healthy connections are picked up immediately.
@@ -459,7 +460,7 @@ Each strategy picks one provider from the candidate pool, given a `RoutingContex
(task type, tool/vision hints, token estimate, optional SLA policy, optional
last-known-good provider).
#### 1. `rules` (default) — 15-factor weighted scoring
#### 1. `rules` (default) — 16-factor weighted scoring
Wraps the existing scoring engine. Filters out `OPEN` circuit-breaker
candidates, then runs `scorePool()` with the current task type and `getTaskFitness()`,
@@ -468,7 +469,7 @@ picking the top-scoring provider.
```ts
class RulesStrategyImpl implements RouterStrategy {
readonly name = "rules";
readonly description = "15-factor weighted scoring (see DEFAULT_WEIGHTS)";
readonly description = "16-factor weighted scoring (see DEFAULT_WEIGHTS)";
select(pool, context) {
const eligible = pool.filter((c) => c.circuitBreakerState !== "OPEN");
@@ -709,7 +710,7 @@ Including the bare `auto` (default) plus the 6 `AutoVariant` values declared in
## How tiers fit Auto-Combo
The 15-factor scoring function (`open-sse/services/autoCombo/scoring.ts`) treats tier
The 16-factor scoring function (`open-sse/services/autoCombo/scoring.ts`) treats tier
membership as two signals: `tierPriority` (0.0476) and `tierAffinity` (0.0476). See the
canonical [scoring factor table](#how-it-works-persisted-auto-combos) above for the full
`DEFAULT_WEIGHTS` set — the per-pack overrides (ship-fast/cost-saver/quality-first/
@@ -764,7 +765,7 @@ intentionally excluded from CI because they require live credentials and VPS acc
| File | Purpose |
| :-------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------- |
| `open-sse/services/autoCombo/scoring.ts` | 15-factor scoring function, `DEFAULT_WEIGHTS`, pool norm |
| `open-sse/services/autoCombo/scoring.ts` | 16-factor scoring function, `DEFAULT_WEIGHTS`, pool norm |
| `open-sse/services/autoCombo/taskFitness.ts` | Model × task fitness lookup |
| `open-sse/services/autoCombo/engine.ts` | Selection logic, bandit, budget cap |
| `open-sse/services/autoCombo/selfHealing.ts` | Exclusion, probes, incident mode |

10
llm.txt
View File

@@ -223,7 +223,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ │ ├── accountFallback.ts # Multi-account fallback
│ │ ├── sessionManager.ts # Session management
│ │ ├── wildcardRouter.ts # Wildcard model routing
│ │ ├── autoCombo/ # Auto-combo engine (15-factor scoring, bandit exploration)
│ │ ├── autoCombo/ # Auto-combo engine (16-factor scoring, bandit exploration)
│ │ ├── intentClassifier.ts # Request intent classification
│ │ ├── taskAwareRouter.ts # Task-aware routing
│ │ ├── thinkingBudget.ts # Thinking budget management
@@ -263,7 +263,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
│ ├── architecture/ # ARCHITECTURE.md, CODEBASE_DOCUMENTATION.md, REPOSITORY_MAP.md, AUTHZ_GUIDE.md, RESILIENCE_GUIDE.md, QUALITY_GATES.md
│ ├── reference/ # API_REFERENCE.md, PROVIDER_REFERENCE.md, CLI-TOOLS.md
│ ├── frameworks/ # MCP-SERVER.md (110 tools), A2A-SERVER.md, SKILLS.md, MEMORY.md, CLOUD_AGENT.md, EVALS.md, WEBHOOKS.md
│ ├── routing/ # AUTO-COMBO.md (15-factor scoring), REASONING_REPLAY.md
│ ├── routing/ # AUTO-COMBO.md (16-factor scoring), REASONING_REPLAY.md
│ ├── security/ # GUARDRAILS.md, COMPLIANCE.md, STEALTH_GUIDE.md, PUBLIC_CREDS.md, ERROR_SANITIZATION.md
│ ├── guides/ # USER_GUIDE.md, TROUBLESHOOTING.md, ELECTRON_GUIDE.md, I18N.md
│ ├── ops/ # RELEASE_CHECKLIST.md, TUNNELS_GUIDE.md, VM deployment
@@ -282,7 +282,7 @@ OmniRoute solves the problem of managing multiple AI provider subscriptions, quo
- **19 routing strategies**: priority, weighted, round-robin, fill-first, p2c, random, least-used, cost-optimized, reset-aware, reset-window, headroom, strict-random, auto, lkgp, context-optimized, cache-optimized, context-relay, fusion, pipeline
- **4-tier fallback**: Subscription → API Key → Cheap → Free
- **Context Relay strategy**: Session handoff summaries on account rotation for continuity
- **Auto-combo engine**: Self-healing routing optimization with **15-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Auto-combo engine**: Self-healing routing optimization with **16-factor scoring** (see `docs/routing/AUTO-COMBO.md`), bandit exploration, progressive cooldown
- **Semantic caching** with cache hit/miss headers
- **Idempotency** with configurable dedup window
- **3-layer resilience**: Provider Circuit Breaker / Connection Cooldown / Model Lockout
@@ -441,7 +441,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
8. **ACP agents** are in `src/lib/acp/registry.ts` with detection cache. Custom agents stored via settings DB.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **15-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
9. **Auto-combo engine** in `open-sse/services/autoCombo/` — **16-factor scoring** (weights and factors in `docs/routing/AUTO-COMBO.md`), 6 mode packs, bandit exploration, progressive cooldown.
10. **Docker:** Dockerfile has two targets: `runner-base` and `runner-cli`. `docker-compose.yml` for dev (8 profiles), `docker-compose.prod.yml` for production (port 20130).
@@ -476,7 +476,7 @@ diagnostics) plus **memory**, **skill**, **agentSkill**, **githubSkill**, **pool
- **352-provider catalog** with 150+ free tiers, one-click account imports, and bulk key add
- **19 routing strategies** — including `fusion` (parallel panel + judge synthesis), `pipeline`, `reset-aware`, `reset-window`, `headroom`, and `context-relay`
- **15-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **16-factor Auto-Combo scoring** with bandit exploration and progressive cooldown
- **MCP server expanded to 110 tools / 33 scopes** (canonical + memory/skill/agentSkill/githubSkill/pool/notion/obsidian/localCorpus/gamification/plugin modules)
- **Cloud Agents** (Codex Cloud, Cursor, Devin, Jules), **Guardrails**, **Evals**, **Webhooks**, **Compliance** frameworks
- **Embedded services** manager (install/start/stop bundled services from the dashboard)

16
open-sse/config/providerPluginManifest.ts
View File

@@ -1,5 +1,6 @@
import type { RegistryEntry, RegistryModel } from "./providers/shared.ts";
import { USAGE_FETCHER_PROVIDERS } from "../services/usage/fetcherProviders.ts";
import { USAGE_SUPPORTED_PROVIDERS } from "../services/usage/supportedProviders.ts";
export type ProviderPluginCapability =
| "apikey"
@@ -8,7 +9,8 @@ export type ProviderPluginCapability =
| "passthrough-models"
| "responses"
| "sidecar-candidate"
| "usage-fetch";
| "usage-fetch"
| "usage-supported";
export interface ProviderPluginModel {
id: string;
@@ -66,6 +68,15 @@ const SIDECAR_COMPATIBLE_EXECUTORS = new Set(["default"]);
*/
const USAGE_FETCHER_PROVIDER_SET = new Set<string>(USAGE_FETCHER_PROVIDERS);
/**
* Providers whose usage API is accepted by dashboard/server routes (#10078).
* Unlike USAGE_FETCHER_PROVIDERS this gate is checked with a plain
* `USAGE_SUPPORTED_PROVIDERS.includes(providerId)` — no alias resolution —
* so the manifest must emit on the identifier alone to stay faithful to the
* runtime guard.
*/
const USAGE_SUPPORTED_PROVIDER_SET = new Set<string>(USAGE_SUPPORTED_PROVIDERS);
function compactObject<T extends Record<string, unknown>>(value: T): Partial<T> {
return Object.fromEntries(
Object.entries(value).filter(([, entryValue]) => entryValue !== undefined)
@@ -142,6 +153,9 @@ function capabilitiesFor(entry: RegistryEntry, eligible: boolean): ProviderPlugi
) {
capabilities.add("usage-fetch");
}
if (USAGE_SUPPORTED_PROVIDER_SET.has(entry.id)) {
capabilities.add("usage-supported");
}
return [...capabilities].sort();
}

6
open-sse/services/autoCombo/routerStrategy.ts
View File

@@ -3,7 +3,7 @@
*
* Inspired by ClawRouter commit 14c83c258 "refactor: extract routing into pluggable RouterStrategy system".
* Provides a RouterStrategy interface and built-in implementations:
* - RulesStrategy (default): wraps the existing 15-factor scoring engine
* - RulesStrategy (default): wraps the existing 16-factor scoring engine
* - ScoreStrategy: highest configured weighted score, with explicit exploration
* - CostStrategy: always picks cheapest available model
* - LatencyStrategy: prioritizes low p95 latency with reliability weighting
@@ -53,7 +53,7 @@ export interface RouterStrategy {
select(pool: ProviderCandidate[], context: RoutingContext): RoutingDecision;
}
// ── RulesStrategy: wraps 15-factor scoring engine ───────────────────────────
// ── RulesStrategy: wraps 16-factor scoring engine ───────────────────────────
function toSpeedCandidate(c: ProviderCandidate): SpeedCandidate {
return {
@@ -87,7 +87,7 @@ function toSpeedCandidate(c: ProviderCandidate): SpeedCandidate {
class RulesStrategyImpl implements RouterStrategy {
readonly name = "rules";
readonly description = "15-factor weighted scoring (see DEFAULT_WEIGHTS)";
readonly description = "16-factor weighted scoring (see DEFAULT_WEIGHTS)";
select(pool: ProviderCandidate[], context: RoutingContext): RoutingDecision {
const eligible = pool.filter((c) => c.circuitBreakerState !== "OPEN");

38
open-sse/services/autoCombo/scoring.ts
View File

@@ -29,6 +29,13 @@ export interface ScoringFactors {
* observed events default to neutral (0.5) and are never penalized.
*/
quality?: number;
/**
* Observed success share over the routing window: 1 - failure rate. Optional
* so a candidate nobody has called yet reads as 1 rather than 0 -- it has not
* failed anything. That differs from `quality` on purpose: a score with no
* observations is neutral at 0.5, a failure rate with no observations is 0.
*/
reliability?: number;
}
export interface ScoringWeights {
@@ -48,6 +55,8 @@ export interface ScoringWeights {
connectionDensity: number;
/** Weight for the feedback-driven quality factor (#feedback-foundation). */
quality?: number;
/** Weight for the observed failure-rate factor. 0 by default. */
reliability?: number;
}
export const DEFAULT_WEIGHTS: ScoringWeights = {
@@ -69,6 +78,12 @@ export const DEFAULT_WEIGHTS: ScoringWeights = {
// the new quality signal (observed output quality over time) gets a real,
// if smaller, vote. Sum remains exactly 1.0.
quality: 0.03,
// Declared but silent, like `cacheAffinity` and `resetWindowAffinity`: every
// candidate already carries a measured failure rate (24h of usage history
// behind a ten-sample floor, real-time metrics otherwise) and the scorer had
// no way to read it. Which weight it deserves is a product call backed by
// measurement, so this ships at 0 and leaves the ranking exactly as it was.
reliability: 0,
};
/** Normalize independently configured UI weights into a scoring distribution. */
@@ -162,7 +177,10 @@ export function calculateScore(factors: ScoringFactors, weights: ScoringWeights)
(weights.connectionDensity ?? 0) * factors.connectionDensity +
// Missing quality factor → neutral 0.5: a cold candidate is neither boosted
// (which would let optimistic initialization dominate) nor penalized.
(weights.quality ?? 0) * (factors.quality ?? 0.5)
(weights.quality ?? 0) * (factors.quality ?? 0.5) +
// Missing reliability factor -> neutral 1, not 0.5: a candidate with no
// observations has not failed anything. See the field doc on ScoringFactors.
(weights.reliability ?? 0) * (factors.reliability ?? 1)
);
}
@@ -255,6 +273,17 @@ export function computePoolMaxima(pool: ProviderCandidate[]): PoolMaxima {
return { maxCost, maxLatency, maxStdDev };
}
/**
* Bound an observed failure rate to [0,1], treating anything missing or
* non-finite as 0 (nothing observed has failed). Mirrors `toBoundedRate` in
* `speedRanking.ts` so both consumers of the same signal agree, including on
* garbage input.
*/
function boundedRate(value: number | null | undefined): number {
if (typeof value !== "number" || !Number.isFinite(value) || value < 0) return 0;
return Math.min(1, value);
}
export function calculateFactors(
candidate: ProviderCandidate,
pool: ProviderCandidate[],
@@ -292,6 +321,13 @@ export function calculateFactors(
// Feedback quality signal; neutral 0.5 when the tracker has no data yet
// (cold providers are neither boosted nor unfairly penalized).
quality: clamp01(candidate.quality ?? 0.5),
// Same formula and same precedence as `speedRanking.ts` uses for its own
// reliability factor: an explicit failure rate wins over the coarser error
// rate, and an unobserved candidate reads as fully reliable. The rate is
// bounded BEFORE the subtraction, exactly as `toBoundedRate` does there --
// `clamp01(1 - NaN)` would be 0, i.e. "fails every call", which is the
// opposite of what corrupt telemetry should mean.
reliability: clamp01(1 - boundedRate(candidate.failureRate ?? candidate.errorRate)),
};
}

73
open-sse/services/compression/compressionWorkerPool.ts
View File

@@ -1,6 +1,5 @@
import { existsSync } from "node:fs";
import { dirname, join } from "node:path";
import { fileURLToPath, pathToFileURL } from "node:url";
import { dirname, join, resolve } from "node:path";
import { Worker } from "node:worker_threads";
import type { CompressionResult } from "./types.ts";
import type { StackedCompressionStep } from "./strategySelector.ts";
@@ -14,14 +13,70 @@ function positiveInteger(value: string | undefined, fallback: number): number {
const parsed = Number(value);
return Number.isSafeInteger(parsed) && parsed > 0 ? parsed : fallback;
}
function workerUrl(): URL {
const dir = dirname(fileURLToPath(import.meta.url));
for (const name of ["compressionWorker.js", "compressionWorker.ts"]) {
const candidate = join(dir, name);
if (existsSync(candidate)) return pathToFileURL(candidate);
/** Relative path (from an install root) to the compression worker. */
const WORKER_JS_REL = join("open-sse", "services", "compression", "compressionWorker.js");
const WORKER_TS_REL = join("open-sse", "services", "compression", "compressionWorker.ts");
const MAX_WALK_UP = 8;
/**
* Walk up from each anchor directory (≤ MAX_WALK_UP levels) and return the first
* ancestor that actually contains `relPath`, or null. Pure + exported for tests.
*
* This deliberately avoids `import.meta.url`/`__dirname` (both dead in the standalone
* bundle) — see the LLMLingua worker comments in llmlingua/worker.ts.
*/
export function firstAncestorWith(anchors: string[], relPath: string): string | null {
for (const anchor of anchors) {
if (!anchor) continue;
let dir = resolve(anchor);
for (let i = 0; i <= MAX_WALK_UP; i++) {
if (existsSync(join(dir, relPath))) return dir;
const parent = dirname(dir);
if (parent === dir) break;
dir = parent;
}
}
return pathToFileURL(join(dir, "compressionWorker.js"));
return null;
}
/**
* Runtime install-root anchors that SURVIVE the standalone bundle:
* - `process.cwd()` — `dist/server.js` runs `process.chdir(__dirname)` → the dist root.
* - `dirname(process.argv[1])` — the entry script (server.js / bin), walked up.
*/
function runtimeAnchors(): string[] {
const anchors = [process.cwd()];
const argv1 = process.argv[1];
if (typeof argv1 === "string" && argv1) anchors.push(dirname(argv1));
return anchors;
}
/**
* Resolve the worker entry file across dev and prod WITHOUT `import.meta.url`.
*
* Prod: the worker is likely a .js file under the install root
* Dev: the same relative path resolves to the `.ts` source under the project
* root (cwd) and runs via the default Node.js loader.
*
* First existing candidate wins. Exported for tests.
*/
export function resolveWorkerFile(): string {
const anchors = runtimeAnchors();
// Prod first: the .js under the install root.
const jsRoot = firstAncestorWith(anchors, WORKER_JS_REL);
if (jsRoot) return join(jsRoot, WORKER_JS_REL);
// Dev: the .ts source.
const tsRoot = firstAncestorWith(anchors, WORKER_TS_REL);
if (tsRoot) return join(tsRoot, WORKER_TS_REL);
// Nothing found — return a cwd-relative .js path; the spawn will fail-open.
return join(process.cwd(), WORKER_JS_REL);
}
function unchanged(body: Record<string, unknown>): CompressionResult {
return { body, compressed: false, stats: null };
}
@@ -80,7 +135,7 @@ export class CompressionWorkerPool {
}
private spawn(): PoolWorker {
const slot: PoolWorker = {
worker: new Worker(workerUrl()),
worker: new Worker(resolveWorkerFile()),
job: null,
timeout: null,
idle: null,

2
open-sse/services/taskAwareRouter.ts
View File

@@ -174,7 +174,7 @@ const TASK_PATTERNS: Record<TaskType, TaskPattern> = {
* - The list rotted. Those ids aged out by a generation or two, and every model
* release made them staler. Naming an intent instead removes the maintenance.
* - It bypassed the router. `applyTaskAwareRouting` overwrites `body.model`, so a
* literal target skipped auto-combo's 15-factor scoring (quota, circuit-breaker
* literal target skipped auto-combo's 16-factor scoring (quota, circuit-breaker
* health, cost, latency, stability), connection cooldown and model lockout — and
* hard-failed for any operator who simply had no connection for that provider.
*

79
open-sse/services/usage/supportedProviders.ts Normal file
View File

@@ -0,0 +1,79 @@
/**
* usage/supportedProviders.ts — registration list of providers whose usage/quota
* API is accepted by the dashboard and server routes.
*
* Extracted from `src/shared/constants/providers.ts` so that light consumers —
* the provider-plugin manifest (`config/providerPluginManifest.ts`) above all —
* can read the list without pulling the ~12-module provider registry, and
* without an open-sse module reaching across the workspace boundary into
* `src/` (the open-sse typecheck gate forbids open-sse → src imports). Same
* pattern as `fetcherProviders.ts` (#11903): pure data — no imports, no module
* state — so it cannot introduce a cycle. `src/shared/constants/providers.ts`
* re-exports the value, so every existing `@/shared/constants/providers`
* import path keeps working unchanged.
*
* Typed `readonly string[]` (not `as const`): the dashboard/server gates call
* `USAGE_SUPPORTED_PROVIDERS.includes(providerId)` with a plain `string`, which
* a literal-tuple type would reject (TS2345).
*/
// Providers that support usage/quota API
export const USAGE_SUPPORTED_PROVIDERS: readonly string[] = [
"antigravity",
"agy",
"kiro",
"amazon-q",
"github",
"codex",
"claude",
"cursor",
"qoder",
"kimi-coding",
"kimi-coding-apikey",
"glm",
"glm-cn",
"zai",
"glmt",
"opencode-go",
"ollama-cloud",
"minimax",
"minimax-cn",
"crof",
"nanogpt",
"deepseek",
"xiaomi-mimo",
"xiaomi-mimo-token-plan",
"vertex",
"vertex-partner",
"codebuddy-cn",
// PromptQL playground credits (getCreditSummary → USD micros)
"promptql",
"pql",
// Adobe Firefly web (cookie/JWT as apikey) — GET firefly.adobe.io/v1/credits/balance
"adobe-firefly",
"firefly",
"hyperagent",
"ha",
// xAI OAuth (Grok) weekly quota (id + public alias, same pattern as ha/agy)
"xai-oauth",
"xao",
// Grok Build subscription, billing credits, and auto top-up status
"grok-cli",
// Firecrawl team credits (GET /v2/team/credit-usage)
"firecrawl",
// Volcano Ark Plan subscriptions (agent-plan / coding-plan)
"volcengine-agent-plan",
"volcengine-coding-plan",
// Command Code credits + 5h/weekly rolling windows
"command-code",
"conol-web",
"cnl",
// Alibaba Coding Plan triple-window quota (#9603 UI gap — fetcher existed, list entry missing)
"bailian-coding-plan",
// Qwen Cloud / Model Studio personal Token Plan (cookie-authenticated console gateway)
"qwen-cloud-token-plan",
// AgentRouter (New-API) console balance quota (consoleApiKey + newApiUserId)
"agentrouter",
// Kilo Code personal USD balance (GET /api/profile/balance, existing OAuth token)
"kilocode",
];

70
open-sse/utils/stream.ts
View File

@@ -771,6 +771,7 @@ export function createSSEStream(options: StreamOptions = {}) {
const passthroughResponsesOutputItems: unknown[] = [];
const passthroughResponsesPendingFunctionCalls = new Map<string, JsonRecord>();
let passthroughResponsesId: string | null = null;
let passthroughLastChatId: string | null = null;
let passthroughResponsesCurrentFunctionCallKey: string | null = null;
const passthroughResponsesReasoningSummarySeen = new Set<string>();
// #6199 — commentary-phase items announced via `response.output_item.added` are
@@ -1955,6 +1956,16 @@ export function createSSEStream(options: StreamOptions = {}) {
const isFinishChunk = parsed.choices?.[0]?.finish_reason;
// Remember the upstream's chat-completion id so synthetic chunks
// emitted at flush (e.g. the estimated usage-only chunk) carry the
// stream's real string id instead of null on the chat path
// (passthroughResponsesId is only ever set on the Responses path).
if (typeof parsed.id === "string" && parsed.id) {
passthroughLastChatId = parsed.id;
} else if (typeof parsed.id === "number") {
passthroughLastChatId = String(parsed.id);
}
if (isFinishChunk) {
passthroughSawFinishReason = true;
}
@@ -1973,28 +1984,21 @@ export function createSSEStream(options: StreamOptions = {}) {
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 we modify it, we must output the modified object. This used to
// piggyback on the estimated-usage rewrite below; with the estimate
// moved to flush() (#12151 follow-up) the rewrite must happen here.
// injectedUsage doubles as the "output already rewritten" latch —
// without it the raw line overwrites this rewrite further down.
output = `data: ${JSON.stringify(parsed)}\n\n`;
injectedUsage = true;
}
if (
isFinishChunk &&
!passthroughForwardedUsage &&
!hasValidUsage(parsed.usage) &&
!hasValidUsage(usage) &&
totalContentLength > 0
) {
const estimated = estimateUsage(body, totalContentLength, sourceFormat || FORMATS.OPENAI);
if (hasValidUsage(estimated)) {
parsed.usage = filterUsageForFormat(estimated, sourceFormat || FORMATS.OPENAI);
output = `data: ${JSON.stringify(parsed)}\n\n`;
usage = estimated;
passthroughForwardedUsage = true;
injectedUsage = true;
}
} else if (isFinishChunk && hasValidUsage(usage) && !passthroughForwardedUsage) {
// #12151 follow-up: do NOT inject estimated usage into the finish chunk.
// A genuine OpenAI upstream sends its usage in a trailing empty-choices
// chunk AFTER the finish; estimating here marked passthroughForwardedUsage
// and made the real trailing block get dropped in favor of the estimate
// (billing regression pinned by tests/unit/stream-utils.test.ts). The
// estimate is now emitted in flush(), only when the upstream stayed silent.
if (isFinishChunk && hasValidUsage(usage) && !passthroughForwardedUsage) {
const buffered = addBufferToUsage(usage);
parsed.usage = filterUsageForFormat(buffered, sourceFormat || FORMATS.OPENAI);
output = `data: ${JSON.stringify(parsed)}\n\n`;
@@ -2510,6 +2514,30 @@ export function createSSEStream(options: StreamOptions = {}) {
forward(controller, encoder.encode(finishOutput));
clientPayloadCollector.push(syntheticFinishChunk);
}
// #12151: upstream never reported usage — emit the estimate as a
// canonical OpenAI trailing usage-only chunk (empty choices) before
// [DONE], so metered clients still see token counts. When the
// upstream DID send usage (trailing or in-band), it was forwarded
// already and passthroughForwardedUsage guards this off.
if (
shouldEmitDoneTerminator &&
!passthroughForwardedUsage &&
hasValidUsage(usage)
) {
const usageOnlyChunk = {
id: passthroughLastChatId ?? passthroughResponsesId ?? `chatcmpl-${Date.now()}`,
object: "chat.completion.chunk",
created: Math.floor(Date.now() / 1000),
model,
choices: [],
usage: filterUsageForFormat(usage, sourceFormat || FORMATS.OPENAI),
};
const usageOutput = `data: ${JSON.stringify(usageOnlyChunk)}\n\n`;
reqLogger?.appendConvertedChunk?.(usageOutput);
forward(controller, encoder.encode(usageOutput));
clientPayloadCollector.push(usageOnlyChunk);
passthroughForwardedUsage = true;
}
await emitFinalSseMetadata(controller, usage);
doneSent = true;
if (shouldEmitDoneTerminator) {

4
skills/omni-combos-routing/SKILL.md
View File

@@ -228,7 +228,7 @@ curl -X POST $OMNIROUTE_URL/api/combos \
| `reset-window` | Order targets by their configured reset window |
| `headroom` | Prefer targets with more remaining quota headroom |
| `strict-random` | Random without repeating until all targets have been used |
| `auto` | Auto-Combo scoring across 15 factors |
| `auto` | Auto-Combo scoring across 16 factors |
| `lkgp` | Last-known-good-provider sticky routing |
| `context-optimized` | Pick the best model for the request's context size |
| `cache-optimized` | Prefer targets with stronger cache affinity |
@@ -237,7 +237,7 @@ curl -X POST $OMNIROUTE_URL/api/combos \
## Auto-combo (recommended for production)
Auto-combo scores each candidate on 15 factors every request:
Auto-combo scores each candidate on 16 factors every request:
```bash
curl -X POST $OMNIROUTE_URL/api/combos \

3
src/i18n/messages/en.json
View File

@@ -13381,6 +13381,9 @@
"colProvider": "Provider",
"colModel": "Model",
"colQuota": "Quota",
"colLimits": "Limits",
"trainsOnPrompts": "Trains on prompts",
"trainsOnPromptsHelp": "This provider discloses that it may use your prompts to train models",
"colContext": "Context",
"colCapabilities": "Capabilities",
"colTos": "ToS Risk",

6
src/i18n/messages/pt-BR.json
View File

@@ -13382,12 +13382,12 @@
"colProvider": "Provedor",
"colModel": "Modelo",
"colQuota": "Cota",
"colLimits": "Limites",
"trainsOnPrompts": "Treina com prompts",
"trainsOnPromptsHelp": "Este provedor declara que pode usar seus prompts para treinar modelos",
"colContext": "Contexto",
"colCapabilities": "Capacidades",
"colTos": "Risco ToS",
"colLimits": "__MISSING__:Rate limits",
"trainsOnPrompts": "__MISSING__:Trains on prompts",
"trainsOnPromptsHelp": "__MISSING__:This provider's terms state it may train on the prompts you send. Models without this badge either state they do not, or do not document it — an absent statement is not a guarantee.",
"newBadge": "novo",
"setupGuide": "Guia de configuração",
"disabledByFeed": "Desativado pelo feed Radar",

6
src/i18n/messages/vi.json
View File

@@ -13382,12 +13382,12 @@
"colProvider": "Nhà cung cấp",
"colModel": "Mô hình",
"colQuota": "Hạn ngạch",
"colLimits": "Giới hạn",
"trainsOnPrompts": "Huấn luyện bằng prompt",
"trainsOnPromptsHelp": "Nhà cung cấp này công bố có thể dùng prompt của bạn để huấn luyện mô hình",
"colContext": "Ngữ cảnh",
"colCapabilities": "Khả năng",
"colTos": "Rủi ro ToS",
"colLimits": "__MISSING__:Rate limits",
"trainsOnPrompts": "__MISSING__:Trains on prompts",
"trainsOnPromptsHelp": "__MISSING__:This provider's terms state it may train on the prompts you send. Models without this badge either state they do not, or do not document it — an absent statement is not a guarantee.",
"newBadge": "mới",
"setupGuide": "Hướng dẫn thiết lập",
"disabledByFeed": "Bị vô hiệu hóa bởi nguồn cấp dữ liệu Radar",

5
src/lib/combos/intelligentRouting.ts
View File

@@ -21,6 +21,7 @@ export type IntelligentRoutingWeights = {
resetWindowAffinity: number;
connectionDensity: number;
quality: number;
reliability: number;
};
export type IntelligentRoutingConfig = {
@@ -64,6 +65,7 @@ export const DEFAULT_INTELLIGENT_WEIGHTS: IntelligentRoutingWeights = {
resetWindowAffinity: 0,
connectionDensity: 0.0476,
quality: 0.03,
reliability: 0,
};
export const MODE_PACK_OPTIONS = [
@@ -104,6 +106,7 @@ export const FACTOR_LABELS: Record<keyof IntelligentRoutingWeights, string> = {
resetWindowAffinity: "Reset Window",
connectionDensity: "Connection Spread",
quality: "Observed Quality",
reliability: "Observed Reliability",
};
function isRecord(value: unknown): value is JsonRecord {
@@ -189,6 +192,8 @@ export function normalizeIntelligentRoutingConfig(config: unknown): IntelligentR
toFiniteNumber(rawWeights.connectionDensity) ??
DEFAULT_INTELLIGENT_WEIGHTS.connectionDensity,
quality: toFiniteNumber(rawWeights.quality) ?? DEFAULT_INTELLIGENT_WEIGHTS.quality,
reliability:
toFiniteNumber(rawWeights.reliability) ?? DEFAULT_INTELLIGENT_WEIGHTS.reliability,
},
routerStrategy:
typeof configRecord.routerStrategy === "string" &&

1
src/lib/usage/comboScoringInspector.ts
View File

@@ -91,6 +91,7 @@ const FACTOR_KEYS: ComboScoringInspectorFactorKey[] = [
"resetWindowAffinity",
"connectionDensity",
"quality",
"reliability",
];
function roundNumber(value: number, digits = 4): number {

61
src/shared/constants/providers.ts
View File

@@ -482,66 +482,7 @@ export const ID_TO_ALIAS = new Proxy({} as Record<string, string>, {
},
});
// Providers that support usage/quota API
export const USAGE_SUPPORTED_PROVIDERS = [
"antigravity",
"agy",
"kiro",
"amazon-q",
"github",
"codex",
"claude",
"cursor",
"qoder",
"kimi-coding",
"kimi-coding-apikey",
"glm",
"glm-cn",
"zai",
"glmt",
"opencode-go",
"ollama-cloud",
"minimax",
"minimax-cn",
"crof",
"nanogpt",
"deepseek",
"xiaomi-mimo",
"xiaomi-mimo-token-plan",
"vertex",
"vertex-partner",
"codebuddy-cn",
// PromptQL playground credits (getCreditSummary → USD micros)
"promptql",
"pql",
// Adobe Firefly web (cookie/JWT as apikey) — GET firefly.adobe.io/v1/credits/balance
"adobe-firefly",
"firefly",
"hyperagent",
"ha",
// xAI OAuth (Grok) weekly quota (id + public alias, same pattern as ha/agy)
"xai-oauth",
"xao",
// Grok Build subscription, billing credits, and auto top-up status
"grok-cli",
// Firecrawl team credits (GET /v2/team/credit-usage)
"firecrawl",
// Volcano Ark Plan subscriptions (agent-plan / coding-plan)
"volcengine-agent-plan",
"volcengine-coding-plan",
// Command Code credits + 5h/weekly rolling windows
"command-code",
"conol-web",
"cnl",
// Alibaba Coding Plan triple-window quota (#9603 UI gap — fetcher existed, list entry missing)
"bailian-coding-plan",
// Qwen Cloud / Model Studio personal Token Plan (cookie-authenticated console gateway)
"qwen-cloud-token-plan",
// AgentRouter (New-API) console balance quota (consoleApiKey + newApiUserId)
"agentrouter",
// Kilo Code personal USD balance (GET /api/profile/balance, existing OAuth token)
"kilocode",
];
export { USAGE_SUPPORTED_PROVIDERS } from "@omniroute/open-sse/services/usage/supportedProviders.ts";
// ── Zod validation, lazily on first AI_PROVIDERS access (perf: skips the walk
// for processes that never touch AI_PROVIDERS, e.g. short-lived CLI commands) ──

3
src/shared/types/utilization.ts
View File

@@ -282,7 +282,8 @@ export type ComboScoringInspectorFactorKey =
| "sessionAvailability"
| "resetWindowAffinity"
| "connectionDensity"
| "quality";
| "quality"
| "reliability";
export type ComboScoringInspectorSource =
"combo_health" | "combo_forecast" | "combo_autopilot" | "runtime" | "default";

1
src/shared/validation/schemas/combo.ts
View File

@@ -103,6 +103,7 @@ export const scoringWeightsSchema = z
// PR says so rather than claiming the routing is untouched.
connectionDensity: z.number().min(0).max(1).optional().default(0.0476),
quality: z.number().min(0).max(1).optional().default(0.03),
reliability: z.number().min(0).max(1).optional().default(0),
})
.optional();

2
tests/integration/combo-matrix/auto.test.ts
View File

@@ -9,7 +9,7 @@
// - combo.ts fetches getLKGP(combo.name, combo.id) = getLKGP("auto", "auto") → key "auto:auto".
// - LKGPStrategy: if a LKGP record exists for that provider AND the provider is in the
// candidate pool, it pins that provider deterministically (no randomness).
// - Without a LKGP record, falls back to "rules" 15-factor scorer.
// - Without a LKGP record, falls back to "rules" 16-factor scorer.
//
// Test 1 strategy: single-request, deterministic.
// We seed a LKGP record pointing to "openai" via settingsDb.setLKGP("auto","auto","openai").

143
tests/unit/compression/compression-worker-file-resolution.test.ts Normal file
View File

@@ -0,0 +1,143 @@
import assert from "node:assert/strict";
import { after, describe, it } from "node:test";
import { mkdirSync, mkdtempSync, rmSync, writeFileSync, realpathSync } from "node:fs";
import { tmpdir } from "node:os";
import { join } from "node:path";
import {
firstAncestorWith,
resolveWorkerFile,
} from "../../../open-sse/services/compression/compressionWorkerPool.ts";
/**
* Regression tests for the runtime-anchor worker-file resolution (#12183): the
* standalone bundle kills `import.meta.url`/`__dirname`, so the pool resolves
* `compressionWorker.{js,ts}` from `process.cwd()` and `dirname(process.argv[1])`
* with a bounded walk-up — the same pattern documented in
* open-sse/services/compression/engines/llmlingua/worker.ts.
*
* All fixtures live in mkdtemp sandboxes; the real repo tree is never touched —
* the sandboxes sit under os.tmpdir(), whose ancestors do not contain an
* `open-sse/services/compression/` install root, so the walk-up cannot escape
* into the actual project.
*/
const WORKER_JS_REL = join("open-sse", "services", "compression", "compressionWorker.js");
const WORKER_TS_REL = join("open-sse", "services", "compression", "compressionWorker.ts");
const sandboxes: string[] = [];
function makeSandbox(): string {
// realpath so assertions survive tmpdir symlinks (e.g. /tmp → /private/tmp).
const dir = realpathSync(mkdtempSync(join(tmpdir(), "omni-worker-anchors-")));
sandboxes.push(dir);
return dir;
}
/** Creates `<root>/open-sse/services/compression/<fileName>` with stub content. */
function makeInstallRoot(root: string, fileName: string): void {
const dir = join(root, "open-sse", "services", "compression");
mkdirSync(dir, { recursive: true });
writeFileSync(join(dir, fileName), "// test stub worker\n");
}
/** Runs `fn` with a fake cwd + argv[1], restoring both afterwards. */
function withRuntime<T>(cwd: string, argv1: string, fn: () => T): T {
const originalCwd = process.cwd();
const originalArgv1 = process.argv[1];
process.chdir(cwd);
process.argv[1] = argv1;
try {
return fn();
} finally {
process.argv[1] = originalArgv1;
process.chdir(originalCwd);
}
}
after(() => {
for (const dir of sandboxes) rmSync(dir, { recursive: true, force: true });
});
describe("resolveWorkerFile (runtime anchors)", () => {
it("resolves the .js worker from the cwd anchor", () => {
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.js");
const elsewhere = makeSandbox();
const resolved = withRuntime(installRoot, join(elsewhere, "server.js"), () =>
resolveWorkerFile()
);
assert.equal(resolved, join(installRoot, WORKER_JS_REL));
});
it("resolves the .js worker from dirname(argv[1]) when cwd has none", () => {
const emptyCwd = makeSandbox();
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.js");
const resolved = withRuntime(emptyCwd, join(installRoot, "server.js"), () =>
resolveWorkerFile()
);
assert.equal(resolved, join(installRoot, WORKER_JS_REL));
});
it("walks up from a nested cwd until it finds the install root", () => {
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.js");
const nested = join(installRoot, "a", "b", "c");
mkdirSync(nested, { recursive: true });
const elsewhere = makeSandbox();
const resolved = withRuntime(nested, join(elsewhere, "server.js"), () => resolveWorkerFile());
assert.equal(resolved, join(installRoot, WORKER_JS_REL));
});
it("falls back to the .ts source when no .js exists (dev loader path)", () => {
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.ts");
const elsewhere = makeSandbox();
const resolved = withRuntime(installRoot, join(elsewhere, "server.js"), () =>
resolveWorkerFile()
);
assert.equal(resolved, join(installRoot, WORKER_TS_REL));
});
it("prefers a .js root on ANY anchor over a .ts root (prod-first ordering)", () => {
const tsRoot = makeSandbox();
makeInstallRoot(tsRoot, "compressionWorker.ts");
const jsRoot = makeSandbox();
makeInstallRoot(jsRoot, "compressionWorker.js");
// cwd only has the .ts source; argv[1] sits in the .js install root.
const resolved = withRuntime(tsRoot, join(jsRoot, "server.js"), () => resolveWorkerFile());
assert.equal(resolved, join(jsRoot, WORKER_JS_REL));
});
it("returns the cwd-relative .js fallback (without throwing) when nothing exists", () => {
const emptyCwd = makeSandbox();
const emptyBin = makeSandbox();
const resolved = withRuntime(emptyCwd, join(emptyBin, "server.js"), () => resolveWorkerFile());
assert.equal(resolved, join(emptyCwd, WORKER_JS_REL));
});
});
describe("firstAncestorWith", () => {
it("returns the anchor itself when it already contains relPath", () => {
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.js");
assert.equal(firstAncestorWith([installRoot], WORKER_JS_REL), installRoot);
});
it("skips empty anchors and returns null when nothing matches", () => {
const empty = makeSandbox();
assert.equal(firstAncestorWith(["", empty], WORKER_JS_REL), null);
assert.equal(firstAncestorWith([], WORKER_JS_REL), null);
});
it("finds a root up to 8 levels above the anchor, but not 9 (walk-up cap)", () => {
const installRoot = makeSandbox();
makeInstallRoot(installRoot, "compressionWorker.js");
const eightDeep = join(installRoot, ...Array.from({ length: 8 }, (_, i) => `d${i}`));
mkdirSync(eightDeep, { recursive: true });
assert.equal(firstAncestorWith([eightDeep], WORKER_JS_REL), installRoot);
const nineDeep = join(installRoot, ...Array.from({ length: 9 }, (_, i) => `d${i}`));
mkdirSync(nineDeep, { recursive: true });
assert.equal(firstAncestorWith([nineDeep], WORKER_JS_REL), null);
});
});

2
tests/unit/lkgp-enabled-context-11181.test.ts
View File

@@ -127,7 +127,7 @@ test("#11181 — a persisted lkgpEnabled:false makes the lkgp strategy delegate
lkgpEnabled: false,
});
// The whole point of the toggle: the LKGP pin must be ignored and the 15-factor
// The whole point of the toggle: the LKGP pin must be ignored and the 16-factor
// rules scorer must pick the winner instead.
assert.doesNotMatch(
selection,

79
tests/unit/provider-plugin-manifest.test.ts
View File

@@ -7,6 +7,7 @@ import {
} from "../../open-sse/config/providerPluginManifest.ts";
import type { RegistryEntry } from "../../open-sse/config/providers/shared.ts";
import { USAGE_FETCHER_PROVIDERS } from "../../open-sse/services/usage/fetcherProviders.ts";
import { USAGE_SUPPORTED_PROVIDERS } from "../../open-sse/services/usage/supportedProviders.ts";
const registryFixture: Record<string, RegistryEntry> = {
openai: {
@@ -182,3 +183,81 @@ test("usage-fetch matches the fetcher list by alias too (#11722)", () => {
assert.ok(entry);
assert.ok(entry.capabilities.includes("usage-fetch"));
});
test("manifest advertises usage-supported for providers whose usage API is accepted (#10078)", () => {
// claude is in USAGE_SUPPORTED_PROVIDERS, openai is not — assert against the real
// list so the test cannot drift silently if the list moves.
const claude = getProviderPluginManifestEntryFromRegistry(registryFixture, "claude");
assert.ok(claude);
assert.ok(
(USAGE_SUPPORTED_PROVIDERS as readonly string[]).includes("claude"),
"fixture guard: claude must stay in USAGE_SUPPORTED_PROVIDERS for this test to mean anything"
);
assert.ok(
claude.capabilities.includes("usage-supported"),
"claude is in USAGE_SUPPORTED_PROVIDERS, so the manifest must advertise usage-supported"
);
});
test("manifest omits usage-supported for providers outside USAGE_SUPPORTED_PROVIDERS (#10078)", () => {
for (const providerId of ["openai", "anthropic", "claude-web"]) {
const entry = getProviderPluginManifestEntryFromRegistry(registryFixture, providerId);
assert.ok(entry, `fixture guard: ${providerId} must resolve`);
assert.equal(
(USAGE_SUPPORTED_PROVIDERS as readonly string[]).includes(entry.id),
false,
`fixture guard: ${entry.id} must stay out of USAGE_SUPPORTED_PROVIDERS`
);
assert.equal(
entry.capabilities.includes("usage-supported"),
false,
`${entry.id} is not in USAGE_SUPPORTED_PROVIDERS, so usage-supported must not be advertised`
);
}
});
test("usage-supported matches only on id, not alias (#10078)", () => {
// USAGE_SUPPORTED_PROVIDERS is checked with a plain .includes(providerId) — no alias
// resolution (providerQuotaVisibility.ts:12, providerLimits.ts:178). The manifest must
// keep the same rule: an alias-only hit must NOT emit the tag.
const aliasOnlyFixture: Record<string, RegistryEntry> = {
"some-provider": {
id: "some-provider",
alias: "claude",
format: "openai",
executor: "default",
baseUrl: "https://some.example/v1/chat/completions",
authType: "apikey",
authHeader: "bearer",
models: [{ id: "m1", name: "M1" }],
},
};
assert.equal(
(USAGE_SUPPORTED_PROVIDERS as readonly string[]).includes("some-provider"),
false,
"fixture guard: the id must NOT be in the list"
);
assert.ok(
(USAGE_SUPPORTED_PROVIDERS as readonly string[]).includes("claude"),
"fixture guard: the alias must be in the list, otherwise this test proves nothing"
);
const entry = getProviderPluginManifestEntryFromRegistry(aliasOnlyFixture, "some-provider");
assert.ok(entry);
assert.equal(
entry.capabilities.includes("usage-supported"),
false,
"usage-supported is id-only — an alias hit must not advertise it"
);
// Sanity: the same entry MUST still carry usage-fetch via its alias, proving the
// two tags deliberately diverge on alias handling.
assert.ok(
(USAGE_FETCHER_PROVIDERS as readonly string[]).includes("claude"),
"fixture guard: claude must also be in USAGE_FETCHER_PROVIDERS for the divergence check"
);
assert.ok(entry.capabilities.includes("usage-fetch"));
});

104
tests/unit/scoring-reliability-factor.test.ts Normal file
View File

@@ -0,0 +1,104 @@
import assert from "node:assert/strict";
import test from "node:test";
import {
DEFAULT_WEIGHTS,
calculateFactors,
scorePool,
validateWeights,
type ProviderCandidate,
} from "../../open-sse/services/autoCombo/scoring.ts";
function candidate(overrides: Partial<ProviderCandidate> = {}): ProviderCandidate {
return {
provider: "p",
model: "p/m",
quotaRemaining: 80,
quotaTotal: 100,
circuitBreakerState: "CLOSED",
costPer1MTokens: 1,
p95LatencyMs: 500,
latencyStdDev: 50,
errorRate: 0,
...overrides,
} as ProviderCandidate;
}
const factorsOf = (c: ProviderCandidate) => calculateFactors(c, [c], "default", () => 0.5);
test("the default ranking is untouched — the new factor does not vote", () => {
const pool = [
candidate({ provider: "solid", model: "solid/m", errorRate: 0.01 }),
candidate({ provider: "broken", model: "broken/m", errorRate: 0.99 }),
];
const scores = scorePool(pool, "default").map((r) => r.score);
assert.equal(scores[0], scores[1], "weight 0 must leave the ranking exactly as it was");
});
test("given a weight, a provider that fails nearly every call drops", () => {
// Take the 0.2 from `health` rather than adding it: otherwise this would be
// testing renormalisation, not the factor.
const weights = {
...DEFAULT_WEIGHTS,
reliability: 0.2,
health: DEFAULT_WEIGHTS.health - 0.2,
};
const ranked = scorePool(
[
candidate({ provider: "broken", model: "broken/m", errorRate: 0.99 }),
candidate({ provider: "solid", model: "solid/m", errorRate: 0.01 }),
],
"default",
weights
);
assert.equal(ranked[0].provider, "solid");
});
test("failureRate wins over errorRate, as it does in speed ranking", () => {
const factors = factorsOf(candidate({ errorRate: 0.9, failureRate: 0.1 }));
assert.equal(factors.reliability, 0.9);
});
test("no observation reads as fully reliable, and the zero weight makes that harmless", () => {
const factors = factorsOf(candidate({ errorRate: undefined as unknown as number }));
assert.equal(factors.reliability, 1);
});
test("a garbage rate reads as unobserved, not as total failure", () => {
// The interesting part is not that the value stays inside [0,1] -- asserting
// only that would have locked in the bug this test was written to catch.
// Corrupt telemetry (NaN from a divide, Infinity from a bad ratio) must mean
// "nothing usable observed", which is reliability 1, not 0.
for (const bad of [Number.NaN, Number.POSITIVE_INFINITY, -1]) {
assert.equal(
factorsOf(candidate({ errorRate: bad })).reliability,
1,
`rate ${bad} must read as unobserved, not as a candidate that fails every call`
);
}
// A rate above 1 is still a rate: it means everything failed.
assert.equal(factorsOf(candidate({ errorRate: 2 })).reliability, 0);
});
test("the factor agrees with the speed ranking on the same garbage input", () => {
// Both read the same field off the same candidate; disagreeing on NaN would
// mean two parts of the router rank the same provider from opposite ends.
const boundedRate = (value: number) =>
typeof value !== "number" || !Number.isFinite(value) || value < 0 ? 0 : Math.min(1, value);
for (const rate of [Number.NaN, Number.POSITIVE_INFINITY, -1, 0, 0.4, 2]) {
assert.equal(
factorsOf(candidate({ errorRate: rate })).reliability,
Math.min(1, Math.max(0, 1 - boundedRate(rate))),
`divergence from speedRanking's toBoundedRate on ${rate}`
);
}
});
test("the default weights still sum to one", () => {
assert.equal(validateWeights(DEFAULT_WEIGHTS), true);
});
test("reliability is a declared weight, so an operator can give it one", () => {
assert.ok("reliability" in DEFAULT_WEIGHTS, "the factor must be declared to be settable");
assert.equal(DEFAULT_WEIGHTS.reliability, 0, "it ships silent");
});

37
tests/unit/stream-passthrough-usage-estimation.test.ts
View File

@@ -34,23 +34,6 @@ test("passthrough no fake: tool_only contentLength==0 -> no estimate (tool_calls
import { createSSEStream } from "../../open-sse/utils/stream.ts";
function collectSSE(stream: TransformStream<Uint8Array, Uint8Array>) {
return async (writable: WritableStream<Uint8Array>, readable: ReadableStream<Uint8Array>) => {
const chunks: string[] = [];
const decoder = new TextDecoder();
const reader = readable.getReader();
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
chunks.push(decoder.decode(value, { stream: true }));
}
} finally {
reader.releaseLock();
}
return chunks.join("");
};
}
function parseSSEUsage(sseText: string): unknown[] {
return sseText
@@ -107,7 +90,7 @@ test("passthrough SSE: finish stop without usage + include_usage:true -> emits u
assert.ok(typeof usage.completion_tokens === "number" && usage.completion_tokens > 0);
});
test("passthrough SSE: trailing choices:[] valid after estimated finish -> trailing is dropped (estimated wins)", async () => {
test("passthrough SSE: real trailing choices:[] usage is forwarded; no estimate is emitted (real wins)", async () => {
const body = { model: "m", messages: [{ role: "user", content: "hi" }], stream: true, stream_options: { include_usage: true } };
const stream = createSSEStream({
mode: "passthrough" as const,
@@ -129,17 +112,23 @@ test("passthrough SSE: trailing choices:[] valid after estimated finish -> trail
})();
const enc = new TextEncoder();
await writer.write(enc.encode(`data: ${JSON.stringify({ id: "chatcmpl-1", object: "chat.completion.chunk", choices: [{ index: 0, delta: { content: "hello world" }, finish_reason: null }] })}\n\n`));
// finish without usage -> should estimate (injectedUsage=false at that point)
// finish without usage -> passes through untouched (estimate only happens at flush, and only if no usage ever arrives)
await writer.write(enc.encode(`data: ${JSON.stringify({ id: "chatcmpl-1", object: "chat.completion.chunk", choices: [{ index: 0, delta: {}, finish_reason: "stop" }] })}\n\n`));
// trailing choices:[] with valid usage 50ms after -> inside empty-choices block hasValid(emptyChoicesUsage)&&!injectedUsage is now false, so chunk is dropped (warn path)
// trailing choices:[] with valid usage -> forwarded verbatim (marks passthroughForwardedUsage, so flush skips the estimate)
await writer.write(enc.encode(`data: ${JSON.stringify({ id: "chatcmpl-1", object: "chat.completion.chunk", choices: [], usage: { prompt_tokens: 8, completion_tokens: 6, total_tokens: 14 } })}\n\n`));
await writer.write(enc.encode("data: [DONE]\n\n"));
await writer.close();
const text = await readAll;
const parsed = parseSSEUsage(text);
const withUsage = parsed.filter((p: unknown) => (p as Record<string, unknown>).usage);
// With the guard, the trailing valid is dropped (estimated was already sent on finish). Without guard we would see 2 (double). We assert drop.
// If upstream ever sends real include_usage trailing, this documents the v1 tradeoff: estimated wins, valid is dropped.
assert.equal(withUsage.length, 1, `expected 1 usage (estimated, trailing dropped), got ${withUsage.length} — usages: ${JSON.stringify(withUsage.map((p) => (p as Record<string, unknown>).usage))}`);
assert.equal((withUsage[0] as Record<string, unknown> & { usage: Record<string, unknown> }).usage.estimated, true);
// v2 contract (#12151 follow-up): the upstream's REAL trailing usage block is forwarded
// and wins; the estimate exists only for upstreams that never report usage (emitted at
// flush). Exactly one usage block ever reaches the client — never two, never estimated
// when a real one arrived (the v1 "estimated wins" tradeoff was a billing regression).
assert.equal(withUsage.length, 1, `expected 1 usage (the real trailing block), got ${withUsage.length} — usages: ${JSON.stringify(withUsage.map((p) => (p as Record<string, unknown>).usage))}`);
const forwarded = (withUsage[0] as Record<string, unknown> & { usage: Record<string, unknown> }).usage;
assert.equal(forwarded.estimated, undefined);
assert.equal(forwarded.prompt_tokens, 8);
assert.equal(forwarded.completion_tokens, 6);
assert.equal(forwarded.total_tokens, 14);
});