Cheaper Inference

Repair confirmed failures in CI, the automated build and test process, starting with the base branch. Then prepare affected pull requests individually, recording checks for the exact code candidate and unresolved issues for owner review.

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• Reproduce and repair CI failures on the base branch
• Investigate affected pull requests one at a time
• Verify required checks for the exact code candidate

Run or inspect local Release-Green checks for a specific code revision or combined pull request candidate. Report blocking failures, diagnostic differences, and missing evidence, compare against the base revision, and identify remaining CI checks.

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• Checking a pull request candidate before maintainer review
• Comparing failures against the exact base revision
• Separating blocking failures from diagnostic differences

Query OmniRoute through A2A, a protocol for communication between agents. Get provider and model recommendations, check remaining quotas, find providers with required features, estimate request costs, and review system health.

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• Find a provider and model for a prompt
• Check remaining provider or account quotas
• Find providers with required features

Manage AI provider connections from the terminal. List configured services, test connections individually or together, rotate credentials, and inspect usage metrics. Validate local configuration without contacting providers when checking its structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test all active provider connections together
• Validate configuration without external requests
• Rotate provider credentials and manage OmniRoute API keys

Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.

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• Adjust context token budgets and filtering rules
• Switch between saved server connections
• Import or export connection settings as JSON

명령으로 OmniRoute 서버를 시작·중지·재시작합니다. 포트, 백그라운드 실행, 자동 복구, 시스템 트레이 표시를 설정하고 관리 화면을 엽니다.

• 지정한 포트에서 서버 시작
• 백그라운드 실행과 자동 복구 설정
• 서버 중지와 재시작

Synchronize OmniRoute configuration, provider connections, and settings with cloud storage. Manage authentication for the cloud worker, a remote service, along with its credentials and remote backup destinations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Synchronize OmniRoute settings with cloud storage
• Initialize cloud synchronization
• Update cloud worker credentials

Carry out reviewed pull request plans, apply approved fixes, and preserve contributor credit. Validate the exact changes being merged, merge only explicitly authorized groups, and keep items on hold when required checks fail or remain unknown.

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• Apply approved fixes to reviewed pull requests
• Merge an owner-selected group after required checks pass
• Preserve contributor credit during repairs

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Query available AI models across all configured providers. List models, resolve model aliases, and browse the full model catalog including provider-specific variants.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage embedded services such as 9Router and CLIProxyAPI through local service APIs. Install, start, stop, restart, or update services, then check their status, retrieve logs, and configure automatic startup.

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• Installing and starting embedded services
• Stopping or restarting services
• Checking service status and logs

Create, list, rotate, and revoke OmniRoute API keys. Control per-key scopes, spending limits, and expiration. Keys gate access to all proxy and management endpoints.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage provider connections, API keys, OAuth flows, and connection tests via the REST API. List, add, update, remove, and test AI provider integrations across OmniRoute's 375-provider catalog.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up OmniRoute and manage its command-line configuration. Inspect and validate tool settings, manage environment variables, check for updates, and control automatic startup using commands that support both interactive and unattended setup.

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• Setting up a provider and default model
• Inspecting and validating CLI tool settings
• Checking or changing environment variables

Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.

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Group AI providers and models behind one model ID in OmniRoute. Choose among 19 routing strategies, define fallback sequences for failures, simulate which provider will be selected, and inspect latency, success rates, and costs.

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• Call multiple AI models through one model ID
• Configure fallback order for failures
• Simulate routing decisions before making API calls

Inspect AI costs, token usage—the units used to measure model input and output—and call logs from the OmniRoute command line. Filter records, review spending by connection, and export usage reports for further review.

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• Review AI spending for a selected period
• Compare usage by provider or model
• Search and monitor API call logs

Create and run automated tests that score LLM answers against expected outputs or judging criteria. Monitor progress, inspect individual results, compare models on the same tests, and use score thresholds in CI, an automated checking workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating tests with expected answers
• Monitoring evaluation progress
• Inspecting failed samples and scores

Create and manage secure tunnels that make OmniRoute accessible over the internet. Use ngrok, Cloudflare Tunnel, or a custom tunnel to share access with remote agents and automated build and test pipelines.

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• Expose OmniRoute through a secure tunnel
• Share access with remote agents
• Connect CI pipelines to OmniRoute

Create, list, switch, and delete model routing combinations from the command line. Request suggestions using task descriptions, cost limits, and response time limits, with an option to explain recommendations or activate a suggested setup.

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• Creating a routing combination with specified models
• Listing routing combinations and switching the active one
• Finding candidates within cost and response time limits

Review AI call logs by provider, model, time range, status, and cost. Aggregate token usage, export logs, configure budgets, and inspect response times and prompt cache statistics to understand usage and performance.

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• Investigate failed calls in filtered logs
• Aggregate token usage and costs across connections
• Configure budgets and token limits

The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.

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Read and update global application settings: system prompts, thinking budget, IP filters, payload rules, combo defaults, and require-login configuration.

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Handle system backups and restore data from backup files while managing a SQLite database. The skill also covers data export, import, and incremental snapshots, which capture changes since an earlier saved state.

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• Create a system backup
• Restore data from a backup file
• Export or import SQLite data