* docs: design note for flow steps + Checkpoint durable execution
* docs: fold in durable-execution decisions (State struct, single Step, run retention, retry)
* docs: rename State.Payload to State.Data
* feat(flow): ordered steps + Checkpoint durable execution
A flow can now be an ordered list of steps (a task with stages) instead
of a single LLM turn. State carries typed Data plus a Stage marker; each
step is checkpointed before and after via a pluggable Checkpoint
(store-backed by default), so a run survives a crash and resumes where it
stopped without re-running completed steps. Flow-level Retry with a
per-step override; runs retained for audit unless DeleteOnSuccess.
Step actions: Call (RPC), LLM (augmented turn), Dispatch (to an agent),
or any StepFunc. Single-step and agent-dispatch flows are unchanged.
* feat(flow): top-level re-exports + durable flow example
Expose the step/checkpoint API from the micro package (FlowSteps,
FlowStep, FlowState, FlowRetry, FlowWithCheckpoint, FlowCall/LLM/Dispatch,
Checkpoint, StoreCheckpoint) and add a runnable, key-free example
demonstrating crash + resume.
* docs: document durable flow steps (guide, README, CLI help)
* docs: blog post + changelog for durable workflows
* fix(flow): scope checkpoint keys by flow name (flow/{name}/runs/{id})
Run keys were flow/runs/{id} — a single global keyspace shared by every
flow on the default store. Namespace them by flow name so each flow's
state is kept apart. StoreCheckpoint now takes a scope argument (the flow
passes its name by default).
* feat(store): Scope handle; scope agent and flow state by name
Add store.Scope(s, database, table) — a store handle that confines every
operation to a database/table without mutating the shared store, so
co-located components don't clobber each other's table (the failure mode
of the global Init(Table(...)) approach).
Use it to keep each agent's memory and plan in its own table
(agent/{name}) and each flow's runs in its own (flow/{name}), instead of
one global table partitioned only by key prefix. Services already scope
by service name.
* feat: consistent state model — service store scoping, flow registry, list/history CLI
- service: scope store via store.Scope (database service / table name),
retiring the Init(store.Table(name)) global-mutation hack; bridge the
default store so handlers using store.DefaultStore stay isolated.
- flow: register in the registry as type=flow while running (with trigger
and step count), deregister on Stop. Live discovery, like agents.
- cli: micro flow list (registry), micro flow runs <name> (durable store),
micro agent history <name> (durable store). list = running, runs/history
= durable, mirroring the service model.
* test: mini-universe end-to-end harness + scheduled GitHub Action
internal/harness/universe boots a small but real go-micro world — four
services, a durable checkout flow that crashes at payment and resumes,
and a guardrailed agent with a tool wrapper reached over RPC — drives the
scenario, asserts the end state (10 checks), and shuts down. Everything
is real except the LLM (mocked), so it's deterministic and needs no key;
-provider anthropic runs it live. Exits non-zero on failure, so it's an
end-to-end test, not just a demo.
Adds .github/workflows/universe.yml (push/PR/daily/dispatch) running the
universe + existing harnesses on the mock provider, plus an opt-in job
that runs live when ANTHROPIC_API_KEY is set. 'make harness' runs them
locally.
* ci: run the live universe job against AtlasCloud (ATLASCLOUD_API_KEY)
* ci: run the live universe job only on schedule or manual dispatch
The deterministic mock job still runs on push/PR/daily; the live
(AtlasCloud) job runs daily and on manual workflow_dispatch only, so
changes don't burn API credits on every PR but can still be checked
against a real model on demand.
---------
Co-authored-by: Claude <noreply@anthropic.com>
* Initial plan
* Replace KeepAliveOnce with KeepAlive to reduce etcd auth requests
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Add tests to verify cache penetration protection via singleflight
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Add etcd integration tests to CI workflow
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Fix race conditions and improve code quality based on review feedback
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Add workflow permissions to fix security scan finding
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Add comprehensive documentation for performance improvements
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Fix memory store limit/offset bug causing events test failure
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* Fix memory store to filter before limiting in prefix/suffix reads
The previous fix had a logic error where limit/offset were applied before
prefix/suffix filtering. This could cause incorrect results when the first
N items in the unfiltered list don't match the search criteria.
Now filters first to get all matching keys, then applies limit/offset to
the filtered results. This ensures ReadLimit(1) always returns 1 matching
record if available, regardless of map iteration order.
Co-authored-by: asim <17530+asim@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: asim <17530+asim@users.noreply.github.com>
* feat: more plugins
* chore(ci): split out benchmarks
Attempt to resolve too many open files in ci
* chore(ci): split out benchmarks
* fix(ci): Attempt to resolve too many open files in ci
* fix: set DefaultX for cli flag and service option
* fix: restore http broker
* fix: default http broker
* feat: full nats profile
* chore: still ugly, not ready
* fix: better initialization for profiles
* fix(tests): comment out flaky listen tests
* fix: disable benchmarks on gha
* chore: cleanup, comments
* chore: add nats config source
Asim Aslam