# Test vectors Known-good byte sequences that any Reticulum-compatible implementation should be able to round-trip in both directions. ## Status Populated against RNS 1.2.4 / LXMF 0.9.7: - ✅ `identities.json` — Alice + Bob identity vectors (regenerator: `../tools/regen_identities.py`, verifier: `../tools/verify_destination_hash.py`). - ✅ `announces.json` — two announce vectors (no-ratchet + with-ratchet) signed by Alice (regenerator: `../tools/regen_announces.py`, verifier: `../tools/verify_announce_roundtrip.py`). - ✅ `lxmf.json` — two opportunistic-LXMF vectors Alice → Bob (regenerator: `../tools/regen_lxmf.py`, verifier: `../tools/verify_lxmf_opportunistic.py`). - ✅ `links.json` — full Link handshake vector (LINKREQUEST + LRPROOF + derived session key) Alice → Bob, plus an LRRTT packet (§6.4.2) emitted from the initiator with pinned IV and `rtt_seconds = 0.05` (regenerator: `../tools/regen_links.py`, verifiers: `../tools/verify_link_handshake.py`, `../tools/verify_link_lrrtt.py`). - ✅ `resources.json` — deterministic multi-part Resource ciphertext, part packets, hashmap, advertisement, and proof body (regenerator: `../tools/regen_resources.py`, verifier: `../tools/verify_resource.py`). - ✅ `link-lxmf.json` — DIRECT LXMF PACKET and Resource vectors at the exact 319/320 computed-content boundary (regenerator: `../tools/regen_link_lxmf.py`, verifier: `../tools/verify_link_lxmf.py`). All six files are byte-deterministic across runs: regenerators pin every random source (ephemeral keys, IVs, `random_hash` values, timestamps) so the output is reproducible against a fixed upstream RNS / LXMF version. See [`../agent.md`](../agent.md) §3 and [`../todo.md`](../todo.md) for the evidence model and remaining task list. ## Format (proposed) Each vector lives in a per-domain JSON file, e.g.: - `identities.json` — Alice + Bob with `encPriv`, `sigPriv`, `ratchetPriv` (hex), plus the derived `publicKey`, `identityHash`, `destinationHash` for `lxmf.delivery` - `announces.json` — full hex of a signed announce packet, plus the inputs that produced it (display_name, ratchetPub, etc.) - `lxmf.json` — sender + recipient identity, plaintext, expected ciphertext bytes - `links.json` — LINKREQUEST + LRPROOF + derived session keys - `resources.json` — Resource plaintext, encrypted stream, parts, hashmap, advertisement, and proof - `link-lxmf.json` — DIRECT LXMF Link DATA and Resource boundary forms Each entry should include: ```json { "description": "Alice's lxmf.delivery announce with ratchet, display_name='AliceTest'", "inputs": { ... }, "expected_bytes_hex": "...", "rns_version_at_generation": "1.2.0", "generator_script": "tools/regen_announces.py" } ``` The `generator_script` is the file in `../tools/` that, when run against upstream RNS, regenerates `expected_bytes_hex`. Keeping the generator alongside the vector lets a future contributor verify the vector still matches a newer upstream RNS. ## What needs to round-trip For the spec to claim "an implementation that passes all test vectors interoperates with upstream", the vectors must cover: 1. **Identity construction** — given the same private-key inputs, derive the same public key, identity hash, destination hash. 2. **Announce build + parse** — build a signed announce; verify the same bytes come back through upstream's parser; verify upstream-built announces parse correctly. 3. **Token encrypt + decrypt** — bidirectional, with both ratchet and long-term keys. 4. **Opportunistic LXMF** — full plaintext → ciphertext → plaintext round-trip, signature valid both ways. 5. **Link handshake** — LINKREQUEST built by client A, LRPROOF computed by upstream as B, both arrive at the same `link_id` and session keys. 6. **Link-delivered LXMF** — body packed by client, decrypted + parsed by upstream. Covered by `link-lxmf.json`. 7. **Resource transfer** — encrypt once, split into parts, validate ADV/hashmap, assemble, and emit the expected proof. A separate vector set for FAILURE cases is also useful: malformed announces, expired ratchets, mismatched signatures. An implementation should reject those as a regression-prevention measure.