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omni-auth

用于 OmniRoute 的认证管理:远程 API 使用 Bearer 密钥,仪表盘通过管理密码登录并获取会话 Cookie,覆盖登录、登出、OIDC、CSRF 与状态查询端点;内容以 curl 示例为主,完整请求/响应模式需参考 OpenAPI 文档。

diegosouzapw
热度 0.00
最近更新 2026-10-19 02:16:38
分类:安全依赖:第三方 API / 读写文件应用场景:API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add diegosouzapw/omniroute/omni-auth
Metadata
name
omni-auth
description
Manage API key authentication and session tokens. Start here to authenticate requests via Bearer token, obtain session cookies, and configure login requirements for the OmniRoute API.

Overview

Manage API key authentication and session tokens. Start here to authenticate requests via Bearer token, obtain session cookies, and configure login requirements for the OmniRoute API.

Authentication

Remote API requests use a Bearer credential. Dashboard login is different: POST /api/auth/login accepts a management password and returns an auth_token session cookie.

Endpoints

POST /api/auth/login

Authenticate user

curl -X POST http://localhost:20128/api/auth/login \
  -H "Content-Type: application/json" \
  -c cookie.jar \
  -d '{"password":"<management-password>"}'

POST /api/auth/logout

Log out

CSRF_TOKEN=$(curl -s http://localhost:20128/api/auth/csrf -b cookie.jar | jq -r .token)
curl -X POST http://localhost:20128/api/auth/logout \
  -b cookie.jar \
  -H "x-omniroute-csrf: $CSRF_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

GET /api/auth/oidc/login

Start OIDC login for the dashboard admin gate

Builds an authorization URL from the configured OIDC issuer/client (discovered via {issuer}/.well-known/openid-configuration, falling back to {issuer}/authorize), sets a short-lived oidc_state cookie, and redirects the browser. Password login remains available as a fallback while OIDC is enabled.

curl http://localhost:20128/api/auth/oidc/login \
  -b cookie.jar

GET /api/auth/oidc/callback

Complete OIDC login for the dashboard admin gate

Validates the state cookie, exchanges the authorization code for tokens, verifies the ID token against the issuer's JWKS (audience = client id), and checks the token's sub/email against oidcAllowedSubjects, which must hold at least one entry (an empty list ends in not_configured). On success it mints the same 30-day auth_token dashboard-session JWT used by password login and redirects to /dashboard.

curl http://localhost:20128/api/auth/oidc/callback \
  -b cookie.jar

GET /api/auth/csrf

GET auth › csrf

curl http://localhost:20128/api/auth/csrf \
  -b cookie.jar

GET /api/auth/status

GET auth › status

curl http://localhost:20128/api/auth/status \
  -b cookie.jar

Payloads

See the full OpenAPI specification at GET /api/openapi/spec or docs/openapi.yaml for detailed request/response schemas.

OmniRoute

Local/remote AI gateway exposing OpenAI-compatible REST. One key, 375 providers, auto-fallback, RTK token saver, MCP server, A2A agents.

Setup

export OMNIROUTE_URL="http://localhost:20128"      # or VPS / tunnel URL
export OMNIROUTE_KEY="sk-..."                       # from Dashboard → API Keys

All requests: ${OMNIROUTE_URL}/v1/... with Authorization: Bearer ${OMNIROUTE_KEY}.

Verify: curl $OMNIROUTE_URL/api/health → {"ok":true}

Discover models

curl $OMNIROUTE_URL/v1/models                  # chat/LLM (default)
curl $OMNIROUTE_URL/v1/models/image            # image-gen
curl $OMNIROUTE_URL/v1/models/tts              # text-to-speech
curl $OMNIROUTE_URL/v1/models/embedding        # embeddings
curl $OMNIROUTE_URL/v1/models/web              # web search + fetch
curl $OMNIROUTE_URL/v1/models/stt              # speech-to-text

Use data[].id as model field in requests. Combos appear with owned_by:"combo".

Capability skills

Capability Raw URL
Chat / code-gen https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Image generation https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Text-to-speech https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Speech-to-text https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Embeddings https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Web search https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
Web fetch https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-inference/SKILL.md
MCP server (110 tools) https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-mcp/SKILL.md
A2A protocol https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-agents-a2a/SKILL.md
Routing & combos https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-combos-routing/SKILL.md
Token compression https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-compression/SKILL.md
Monitoring & health https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omni-resilience/SKILL.md

CLI skills (omniroute binary)

Capability Raw URL
CLI entry point https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-serve/SKILL.md
CLI admin & lifecycle https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-serve/SKILL.md
CLI providers & keys https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-providers/SKILL.md
CLI cloud agents (omniroute cloud …) https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-backup-sync/SKILL.md
CLI evals & benchmarks https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-eval/SKILL.md

Errors

  • 401 → set/refresh OMNIROUTE_KEY (Dashboard → API Keys)
  • 400 Invalid model format → check model exists in /v1/models/<kind>
  • 503 Provider circuit open → upstream provider down; retry after Retry-After seconds
  • 429 → rate limited; honor Retry-After

Differentiators vs OpenAI direct

  • Auto-fallback combos (19 strategies): never stop coding even if a provider rate-limits
  • RTK token saver: tool_result compressed via 47 specialized filters (git-diff, test-jest, terraform-plan, docker-logs…) — 20-40% token reduction
  • Caveman mode: optional terse system prompt injection (LITE/FULL/ULTRA) — 15-25% completion reduction
  • MCP + A2A servers built-in (this is the only AI router that exposes both protocols)
  • Memory with FTS5 + Qdrant for persistent agent context
  • Guardrails for PII masking, prompt injection detection, vision policies