TrustedRouter

End-to-end encrypted LLMs. One API. Privacy with proof.

Stop worrying about who can see your prompts. Tell your coding agent to move your project over, pick how private you want to be, pick a model, drop in a key — done. Same API, 30+ models, one key. The gateway runs in hardware enclaves and you can cryptographically verify it never logs you.

Move your project over in one prompt

Paste this into Codex, Claude Code, or Cursor — it does the migration for you:

Migrate this project to TrustedRouter, a privacy-first LLM router
(https://trustedrouter.com). Repoint my LLM client to base_url
"https://api.trustedrouter.com/v1" (or "https://api.trustedrouter.com" for the
Anthropic SDK), read the key from the TRUSTEDROUTER_API_KEY env var, and keep
all my existing calls working.

For a hard provider-side confidential-compute and end-to-end-encryption
requirement, add {"provider": {"min_privacy": "confidential"}}. TrustedRouter
fails closed when the selected model or provider cannot satisfy both controls.

Then tell me to sign up at trustedrouter.com, add a card, and paste my sk-tr
key into TRUSTEDROUTER_API_KEY.

Then:

Pick your privacy level or region — use {"provider": {"min_privacy": "zdr"}} for a hard zero-retention floor, or {"provider": {"min_privacy": "confidential"}} for the stronger hard confidential-compute + E2EE floor. The convenient trustedrouter/zdr and trustedrouter/e2e (trustedrouter/confidential) aliases select those pools. Use trustedrouter/eu with https://api-europe-west4.quillrouter.com/v1 for EU-focused routing.
Pick a model — any of hundreds, or trustedrouter/auto for automatic fallback when provider breadth matters more than the strictest privacy filter.
Sign up, add a card, get your key at https://trustedrouter.com.
Ship — your prompts now run through a path you can verify.

Prefer to wire it by hand?

# Codex
export OPENAI_BASE_URL="https://api.trustedrouter.com/v1"
export OPENAI_API_KEY="sk-tr-v1-..."

# Claude Code
export ANTHROPIC_BASE_URL="https://api.trustedrouter.com"
export ANTHROPIC_API_KEY="sk-tr-v1-..."

# Any OpenAI SDK
client = OpenAI(base_url="https://api.trustedrouter.com/v1", api_key="sk-tr-v1-...")

Get a key / take my money: https://trustedrouter.com
Try it first (no signup): https://trustedrouter.com/chat
The technical details (for the nerds): https://trustedrouter.com/security
Generate images: docs/image-generation.md
Generate video: docs/video-generation.md
Why we built it: https://jperla.com/blog/attestation-is-all-you-need

For the nerds: how the privacy is provable

TrustedRouter's gateway runs inside GCP Confidential Space. The platform signs a measurement of the running binary; you compare that hash to this repo. If they match, you know — not assume — that the code handling your prompts is the code you can read here, and that it never writes your prompts to disk.

Verify it yourself in 60 seconds, no account:

NONCE=$(openssl rand -hex 16)
curl -s "https://api.trustedrouter.com/attestation?nonce=$NONCE" | jq .
#   eat_nonce     your nonce  (replay-protected)
#   image_digest  SHA-256 of the running container
#   pcrs          boot-time platform measurements
# Compare image_digest to the published artifact at
# https://trustedrouter.com/security — match = the running code is this repo.

	trust model
OpenRouter, hosted providers	"We don't log." A policy you can't check.
Portkey, Cloudflare AI Gateway	Log everything for observability.
LiteLLM	Self-host, but the running proxy is unverified.
TrustedRouter	Open source + hardware attestation. Verify the code path; it logs nothing.

Honest scope: attestation proves the running binary is the published binary on hardware you can challenge with a nonce. It does not defeat a nation-state with physical host access, and it does not prove the open-source binary is bug-free. The trust anchor is Google Confidential Computing's hardware-backed attestation chain. Upstream providers handle prompts per their own policies — each provider's posture is published on the model pages.

Repository layout

This repo implements the control-plane contract: route coverage, auth/key management, billing ledger semantics, usage metadata, prompt/output logging prohibitions, Sentry scrubbers, and provider abstractions. The attested gateway implementation lives in quill-cloud-proxy.

Trust boundary: api.trustedrouter.com is the attested prompt path and must terminate TLS inside Confidential Space. trustedrouter.com is the control plane and must never serve a production inference fallback.

api.quillrouter.com remains a permanent working alias (same attested gateway and cert), so existing integrations keep working with no migration.

Local

uv sync
uv run pytest
uv run uvicorn trusted_router.main:app --reload

End-to-end smoke against a running instance:

TR_SMOKE_BASE_URL=http://127.0.0.1:18080/v1 uv run python scripts/smoke_e2e.py

For production, set TR_SMOKE_BASE_URL=https://api.trustedrouter.com/v1 and TR_SMOKE_INTERNAL_TOKEN if the internal gateway routes are token-protected.

Set local operator/provider keys in:

/Users/jperla/claude/.quill_cloud_keys.private

That file is never committed. It is expected to be dotenv-style:

ANTHROPIC_API_KEY=...
OPENAI_API_KEY=...
GEMINI_API_KEY=...
CEREBRAS_API_KEY=...
DEEPSEEK_API_KEY=...
MISTRAL_API_KEY=...
STRIPE_SECRET_KEY=...
STRIPE_WEBHOOK_SECRET=...
SENTRY_DSN=...

The deploy script also accepts local aliases already used in some operator files: CLAUDE_API_KEY for Anthropic, CHATGPT_API_KEY for OpenAI, and STRIPE_KEY for STRIPE_SECRET_KEY.

Vertex is different from the other provider platforms: production GCP deploys use the Cloud Run or Confidential Space service account and short-lived Google access tokens from metadata/ADC. Do not put a long-lived Vertex key in this file for the first-party prepaid Vertex route; grant the runtime service account Vertex permissions instead.

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TrustedRouter

End-to-end encrypted LLMs. One API. Privacy with proof.

Move your project over in one prompt

Repository layout

Local

License