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Mohdel

Self-hosted LLM gateway and SDK for Node — think LiteLLM, for the JS world. One answer() call for 15 providers or local inference; swap models by changing one string; get real per-call USD cost back on every result, with OpenTelemetry built in and process isolation when you need it. Your keys, your infra, no SaaS proxy in the path.

Almost no provider API returns prices, context limits or thinking budgets. They live on a docs page, so mohdel writes a brief and the coding agent you already run reads the page and drafts the entries. mo offers this at the end of setup. Nothing runs on your key but that agent.

No coding agent? OpenRouter and Novita publish per-token prices in their own model lists, so mohdel reads them directly. mo curate openrouter or mo curate novita writes complete, priced entries on its own, and setup counts the models that cost nothing and offers to add all of them in one keystroke. A working catalog without a pricing page or a brief.

Providers: Anthropic, OpenAI, ChatGPT, Gemini, Mistral, Groq, xAI, Cerebras, Fireworks, DeepSeek, Qwen Cloud, Xiaomi, Meta Model API, OpenRouter, Novita. Node 22+, ES modules.

Using a ChatGPT subscription

chatgpt/ uses OAuth and an eligible ChatGPT plan. It always streams through the public Responses API with store: false. openai/ continues using API billing. Token counts are reported for both; ChatGPT's cost: 0 means no per-call API charge is calculated, not unlimited or free plan usage. Manage allowance and credits with mo chatgpt usage.

Use mo chatgpt list, select , login --new, and logout [account-id] to manage accounts. Credentials live in Mohdel's user data directory (~/.local/share/mohdel/chatgpt/ on Linux), with owner-only files and serialized token refresh. They are separate from the catalog. mo chatgpt login reuses a saved registration after sign-out or a failed code exchange. ChatGPT lists each registration by name: a new one is Mohdel (), or the label from mo chatgpt login --name if you'd rather not send the hostname. The name is fixed when the registration is made, and mo chatgpt list shows it next to the account id. If a crashed process leaves accounts.lock, confirm its recorded PID has exited before removing that lock.

This OpenAI flow is intended for open-source and personal local tools; paid or remotely hosted offerings require OpenAI's private-app acceptance. See OpenAI's guide and library/gate integration.

Mohdel runs the inference layer of production stacks, among them docAnalyzer, a document analysis and chat platform serving hundreds of thousands of users.

Why mohdel

• Real numbers on every call. Token counts and per-call USD cost computed from your own pricing catalog (curated.json) — not estimates, not provider-specific shapes. Bill tenants, alert on spend, reconcile invoices. Your own catalog means your negotiated rates and your own tags, and it is not a spreadsheet you maintain: mo model instructions hands the provider's docs page to your coding agent, which drafts the entries for you to review. See docs/CATALOG.md. • One interface across providers. Same answer() call, same event stream, same { status, output, inputTokens, outputTokens, cost } result. Switching from anthropic/claude-sonnet-5-5 to openai/gpt-5.4-mini is one string change — adapter differences stay inside mohdel. • Self-hosted, no vendor in the path. API keys live in ~/.config/mohdel/. Mohdel calls provider APIs directly; nothing routes through a third party, nothing marks up your tokens, no extra hop of availability risk. • Inference without tool execution. Mohdel returns model output and tool calls for your harness to handle. Optional ChatGPT sign-in uses a temporary loopback listener and a protected local credential store. See Attack surface. • Observability without instrumentation. OpenTelemetry spans, trace-linked logs, and OTLP metrics over one endpoint. Set OTEL_EXPORTER_OTLP_ENDPOINT; everything else is wired. • Fully typed. Declarations are generated from the source's own JSDoc and ship with the package — CallEnvelope, Event, AnswerResult and MohdelError are the frozen wire contract, typed as such. No @types package, no separate TypeScript build to keep in sync. • Two integration paths, same API. In-process factory for CLI tools, scripts, single-process services. Optional thin-gate subprocess for fault isolation, cross-process quota, and any-language HTTP callers — no code change to switch.

How it compares

LiteLLM is the closest analog but lives in Python. Vercel AI SDK is an application toolkit, not an infra layer. OpenRouter is the same one-API promise as a SaaS in your request path. Raw provider SDKs are N different shapes with no cost accounting.

| | mohdel | LiteLLM | Vercel AI SDK | OpenRouter | Raw SDKs |

| Runs in a Node stack natively | yes | Python service | yes | n/a (SaaS) | yes | | Per-call USD cost on the result | yes | yes | no | yes | no | | Self-hosted, keys never leave your infra | yes | yes | yes | no | yes | | Provider-SDK process isolation | yes (thin-gate) | proxy only | no | n/a | no | | OTel spans + metrics out of the box | yes | via callbacks | no | no | no | | UI streaming helpers, structured output, agents | no | no | yes | no | varies |…