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omni-auth

The omni-auth Claude Code skill manages API authentication and session handling for the OmniRoute gateway, providing login and logout endpoints that accept Bearer tokens and return session cookies. Use this to authenticate requests to OmniRoute's 207+ AI provider network and configure authentication requirements for local development or remote deployments.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/diegosouzapw/OmniRoute /tmp/omni-auth && cp -r /tmp/omni-auth/skills/omni-auth ~/.claude/skills/omni-auth
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

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## 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

All requests require a valid Bearer token or session cookie. Obtain a token via `POST /api/auth/login` or configure `REQUIRE_API_KEY=false` for local development.

## Endpoints

### POST /api/auth/login

Authenticate user

```bash
curl -X POST https://localhost:20128/api/auth/login \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"
  -H "Content-Type: application/json" \
  -d '{}'
```

### POST /api/auth/logout

Log out

```bash
curl -X POST https://localhost:20128/api/auth/logout \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"
  -H "Content-Type: application/json" \
  -d '{}'
```

## Payloads

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

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<!-- Migrated from skills/omniroute/SKILL.md (preserved curated content) -->

# OmniRoute

Local/remote AI gateway exposing OpenAI-compatible REST. One key, 207+ providers,
auto-fallback, RTK token saver, MCP server, A2A agents.

## Setup

```bash
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

```bash
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/omniroute-chat/SKILL.md        |
| Image generation      | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-image/SKILL.md       |
| Text-to-speech        | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-tts/SKILL.md         |
| Speech-to-text        | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-stt/SKILL.md         |
| Embeddings            | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-embeddings/SKILL.md  |
| Web search            | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-web-search/SKILL.md  |
| Web fetch             | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-web-fetch/SKILL.md   |
| MCP server (37 tools) | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-mcp/SKILL.md         |
| A2A protocol          | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-a2a/SKILL.md         |
| Routing & combos      | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-routing/SKILL.md     |
| Token compression     | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-compression/SKILL.md |
| Monitoring & health   | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-monitoring/SKILL.md  |

## CLI skills (omniroute binary)

| Capability             | Raw URL                                                                                               |
| ---------------------- | ----------------------------------------------------------------------------------------------------- |
| CLI entry point        | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-cli/SKILL.md           |
| CLI admin & lifecycle  | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-cli-admin/SKILL.md     |
| CLI providers & keys   | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-cli-providers/SKILL.md |
| CLI cloud agents       | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-cli-cloud/SKILL.md     |
| CLI evals & benchmarks | https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/omniroute-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 (14 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
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