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Asim Aslam 9fdcc24cce Implement durable execution and scoped state management for flows (#2972)
* 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>
2026-06-17 12:02:47 +01:00

34 行
915 B
Go

package store
import "testing"
func TestScopeIsolatesTables(t *testing.T) {
base := NewMemoryStore()
a := Scope(base, "agent", "one")
b := Scope(base, "agent", "two")
if err := a.Write(&Record{Key: "history", Value: []byte("A")}); err != nil {
t.Fatalf("write a: %v", err)
}
if err := b.Write(&Record{Key: "history", Value: []byte("B")}); err != nil {
t.Fatalf("write b: %v", err)
}
// Same key, different scopes — the values must not collide.
recs, err := a.Read("history")
if err != nil || len(recs) != 1 || string(recs[0].Value) != "A" {
t.Fatalf("scope a read = %v %v", recs, err)
}
recs, err = b.Read("history")
if err != nil || len(recs) != 1 || string(recs[0].Value) != "B" {
t.Fatalf("scope b read = %v %v", recs, err)
}
// List is confined to the scope.
keys, err := a.List()
if err != nil || len(keys) != 1 {
t.Fatalf("scope a list = %v %v, want 1 key", keys, err)
}
}