Probe0 vs Eden AI
Eden AI is a cloud gateway you send every request to, covering LLMs plus OCR, speech, vision and translation for a whole organisation. Probe0 is a proxy that runs on your laptop and only cares about the traffic your AI coding agent makes.
A hosted, multi-tenant AI API gateway that fronts hundreds of models across LLMs and non-LLM services like OCR, speech and translation under one key and one bill.
| Feature | Probe0 | Eden AI | Edge |
|---|---|---|---|
| Where your prompts go | Cache hits and local models never leave the Mac | Every call transits Eden AI | Probe0 |
| Caching on chat completions | Exact cache on local disk plus semantic cache | Exact-match only, docs exclude LLM chat | Probe0 |
| Semantic cache safety for agents | Similarity floor, refuses to match anything with tool calls | No semantic cache documented | Probe0 |
| Local model routing | Ollama and LM Studio, weak answers retried on cloud | None documented; BYOK provider keys only | Probe0 |
| Setup for one developer | One proxy plus a certificate, covers Claude Code, Codex, Cursor | Swap base URL or SDK per tool | Probe0 |
| Who spent the money | Ledger names the calling process on your machine | Cost per response, dashboard by date and provider | Probe0 |
| Proving each saving | Every module toggles alone and reports what it saved | Aggregate consumption view, no per-feature saving | Probe0 |
| Spend limits | Hard cap per run and per day, warns then pauses | Server-side key budgets and per-member caps | Even |
| Breadth of models and AI services | Chat and completions from the providers coding agents call | Hundreds of models plus OCR, speech, TTS, vision, translation | Competitor |
Eden AI is the better catalogue: hundreds of models plus OCR, speech, translation and document parsing behind one key, one prepaid balance and one bill. That breadth is worth paying for when your workload is that wide, and for a coding agent it is surface you never touch. What you touch is chat completions, and Eden AI documents its cache as exact-match and restricted to deterministic features like embeddings, moderation, OCR and entity recognition, with LLM chat completions outside it. Probe0 caches them on local disk, exactly and semantically, and a hit never opens a socket. The semantic cache holds a strict similarity floor and refuses to match any conversation carrying tool calls, because a wrong hit there corrupts a run rather than saving a few cents. Probe0 also sends work to a model already loaded in Ollama or LM Studio and retries weak answers on the cloud, which Eden AI has no documented support for. And the platform fee Eden AI adds at checkout applies to every call forever, including the ones a local cache would have removed.
Setup is the second reason I would run Probe0 on a laptop. With Eden AI you point each tool at its OpenAI-compatible endpoint, per tool, and keep doing that as you add tools. With Probe0 you start one local proxy and install one certificate, and after that Claude Code, Codex and Cursor all route through it with no per-tool config. Nothing about that arrangement depends on a Probe0 server, because there isn't one. Spend control is the row I will not claim outright: Eden AI enforces per-key budgets and per-member caps in the cloud, in front of the provider, which survives someone editing a config on a machine you do not administer. Probe0's cap is local, covers one run and one day, warns first and then actually pauses the traffic instead of emailing you about it. On one machine that is the behaviour I want.
The other difference is what you learn. Eden AI returns the cost of each call and its dashboard aggregates consumption by date, provider and feature, which is real and useful. Probe0 records a request-level ledger: model, tokens, real cost, latency, and which process on your machine made the call, so you can see that a background agent and not your editor session ate the afternoon. Because Probe0 knows your actual usage it can also tell you when you are paying for a subscription tier above what you consume. Each module is separately switchable and each reports what it saved, so you can turn one off and watch the number move. Honest limits: macOS only, private beta, sign-in is Google or GitHub with a new account system, and the provider coverage is whatever coding agents call rather than a broad catalogue.
The verdict
Pick Eden AI if you need the catalogue itself, OCR, speech or vision alongside chat, or a shared bill and cloud-side budgets across several people. For one developer on a Mac cutting what Claude Code, Codex and Cursor cost, Probe0 is the one I would install: caching that covers chat completions, a semantic cache that will not corrupt a tool-calling run, local models in the loop, a cap that pauses, a ledger that names the process, and prompts that stay on the machine.
Questions
- Is Probe0 a good Eden AI alternative?
- For a single developer running AI coding agents on macOS, yes. For a team that needs shared billing, roles, SSO and non-LLM services like OCR and speech, no. Probe0 has no multi-user layer and only handles chat and completions.
- Does Eden AI cache LLM chat completions?
- Its docs describe caching as exact-match and applied to deterministic features such as embeddings, moderation, OCR and entity recognition, with LLM chat completions and image generation excluded. Probe0 caches chat completions locally, both exact and semantic, which is where coding agent spend concentrates.
- Can Eden AI route to a local model in Ollama or LM Studio?
- No local LLM routing is documented. Eden AI supports bringing your own provider keys, but not self-hosted endpoints. Probe0 sends work to a model already running in Ollama or LM Studio and retries weak answers on a cloud model.
- Do I need to configure each coding agent separately?
- With Eden AI you point each tool at its OpenAI-compatible endpoint. With Probe0 you run one local LLM proxy and install a certificate once, and every coding agent CLI on the machine routes through it without per-tool config.