SynapCores Community Edition v2.5.0-ce
Community Edition · free · seamless upgrade from v2.4.x
Most "should the agent do X?" questions don't need a chat completion — they need an answer you
can branch on. v2.5.0-ce adds exactly that: a new endpoint, POST /v1/systemone, that returns a
typed decision instead of prose — a routing choice with a probability for every option, a
yes/no probability, or an urgency score — in a single forward pass with zero generated tokens.
It's backed by d1, a purpose-built decision model, and it accepts any causal model you've
pulled. Additive endpoint, drop-in upgrade, no data migration.
One call, a decision you can act on
Send the situation as state, plus one or more typed questions, and get a structured answer
back for each:
choice — give a set of named options; get the chosen option, a probability for every
option, and a confidence. Routing, triage, classification.
noul — ask a yes/no question; get the probability of "yes". Guardrail checks, gating.
score — give ordered levels, lowest first; get the expected (fractional) level with
per-level probabilities. Priority and urgency scoring.
Because it weighs the options rather than writing text, a decision comes back in one pass and
reports output_tokens: 0 — so it's fast and cheap to put on a hot path.
Proof: one message, three decisions
A real support message — "You charged my card twice and still have not shipped my order. I need
this sorted TODAY or I am disputing the charge." — answered by d1 in a single /v1/systemone
call:
route → billing (0.93)
angry → 0.78
urgency → "today" (0.79)
output_tokens: 0
You branch your workflow on the choice, on noul > 0.5, or on the score bucket — with the full
probability maps there when you'd rather threshold than take the argmax.
Backed by d1, open to any model
d1 is the calibrated, recommended model — its probabilities are tuned to mean what they say. But
the endpoint isn't locked to it: name any causal model you've pulled in the model field and it
works, so you can decide with the model that already fits your deployment.
d1 is pull-on-demand (it isn't bundled in the image): pull it once, about 2.7 GiB, and the
endpoint loads it on first use. Full install, enable, and call-it walkthrough:
One-call decisions: the d1 decision model.
Also in this release
- AutoML cleanup is reliable.
DROP MODEL name;, DESCRIBE MODEL name; and the other
model/experiment commands now handle a trailing ; correctly, so teardown and re-runs no longer
error on the name.
- One default chat model. The embedded
local provider now defaults to qwen2.5:7b across
chat, AGENT_RUN, and NL tooling — one consistent, budget-adaptive default.
- Cypher
CREATE accepts a comma-separated pattern list — CREATE (a), (b)-[:R]->(c) —
matching standard Cypher, so multi-node creates no longer need separate statements.
- Faster batch embeddings against Ollama via
/api/embed, with a graceful fallback on older
Ollama servers.
Proven before shipping
- The state-asserting feature validator is fully green on the release build (316 assertions, 0
failures), including vector search and the bundled UI.
/v1/systemone is parity-matched to the reference d1 across the decision suite — argmax agrees
on every case, worst-case probability difference 0.025.
- Clean boot plus a d1 decision and an
EMBED run on a non-AVX-512 CPU with no GPU — no
illegal-instruction faults on older hardware.
- Drop-in upgrade: no on-disk format change, existing data and vectors read as-is.
Get it
docker pull synapcores/community:v2.5.0-ce
Or upgrade in place — existing data is read as-is. Then pull the decision model once:
synapcores --config gateway.toml pull d1:latest
LM