# Oi
Oi means Orchid integration — lightweight glue layer between
[Orchid](https://github.com/SynapticStrings/Orchid) workflows and
[OrchidSymbiont](https://github.com/SynapticStrings/orchid_symbiont) runtimes.
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## Core concepts
- **Graph → Compile → Execute** — three-phase pipeline:
1. Build a `Graph` of step nodes and edges
2. `Oi.compile(graph)` — topology → static `Compiled` (bundles + plan, reusable)
3. `Oi.execute(compiled, opts)` — resolve inputs, apply orchid_adapters, run via pluggable executor
- **Compiled** — immutable compilation product. Compile once, dispatch many times
with different inputs / interventions / executors.
- **Inputs vs Interventions** — two kinds of external data:
- `inputs:` — `%{"io_key" => payload}` seeded into drafting memory before dispatch
- `interventions:` — `%{{:port, node, port} => {type, payload}}` merged into
Orchid baggage, consumed by `Orchid.Hook.ApplyInterventions` per-step
- **Executor** — pluggable task fan-out per stage. Built-in: `Sync` (serial),
`TaskSup` (Task.Supervisor). `Pool` (NimblePool) planned.
- **Session** — optional multi-tenant isolation via `Oi.Runtime.Session`,
wrapping per-tenant `OrchidSymbiont.Runtime` + `Task.Supervisor`.
- **Extension model** — Oi intentionally does not implement its own workflow
plugin system. Use Orchid hooks through `:orchid_opts` for step-level
concerns such as auth, logging, metrics, retry, and caching.
## Quick start
### Define a step
```elixir
defmodule MyApp.Steps.Upcase do
use Oi.Step, name: :upcase
manifest(
inputs: [:text],
outputs: [result: :string]
)
routine text, _opts do
text |> String.upcase() |> ok()
end
end
```
### Build and run
```elixir
alias Oi.Topology.Graph
alias Oi.Topology.Graph.Node
graph =
Graph.new()
|> Graph.add_node(%Node{
id: :up,
container: MyApp.Steps.Upcase,
inputs: [:text],
outputs: [:result]
})
{:ok, compiled} = Oi.compile(graph)
{:ok, result} = Oi.execute(compiled,
inputs: %{"up|text" => "hello"}
)
Oi.Result.reify(result, "up|result")
# => {:ok, "HELLO"}
```
### With interventions
```elixir
# Use vanilla orchid with custom opts(without orchid_adapters)
{:ok, result} = Oi.execute(compiled,
inputs: %{"step1|in" => "hello"},
interventions: %{
{:port, :step2, :in} => {:override, "forced_value"}
},
orchid_opts: [
global_hooks_stack: [Orchid.Hook.ApplyInterventions]
]
)
```
### Multi-tenant with Session
```elixir
Oi.Runtime.Session.start("tenant-1")
graph = build_graph()
{:ok, compiled} = Oi.compile(graph)
{:ok, result} = Oi.execute(compiled,
inputs: %{"step|in" => "data"},
executor: Oi.Executor.TaskSup,
executor_opts: [sup: Oi.Runtime.Session.tasks_tuple("tenant-1")],
orchid_baggage: %{scope_id: "tenant-1"},
orchid_opts: [global_hooks_stack: [OrchidSymbiont.Hooks.Injector]]
)
Oi.Runtime.Session.stop("tenant-1")
```
### Symbiont step
```elixir
defmodule MyApp.Steps.Predict do
use Oi.Step, name: :predict, symbiont?: true
manifest(
inputs: [:features],
outputs: [prediction: :string],
models: [:model]
)
routine features, models, _opts do
{:ok, result} = OrchidSymbiont.call(models.model, {:predict, features})
ok(result)
end
end
```
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## Roadmap
- [x] Graph compilation + staged dispatch
- [x] Pluggable Executor (Sync / TaskSup)
- [x] Multi-tenant Session
- [x] Oi.Step macro DSL
- [x] Interventions (via Orchid baggage)
- [ ] Executor.Pool (NimblePool for GPU-intensive tasks)
## License
MIT