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README.md

# [WIP]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

- **Workspace** — pure data struct holding graph, cluster, interventions.
  No process, no GenServer. Compiled and dispatched via pure functions.

- **Compile + Dispatch** — two-phase pipeline:
  1. `Oi.compile/1` — topology → static bundles (reusable)
  2. `Oi.execute/2` — bind interventions → plan → execute via pluggable executor

- **Executor** — pluggable task execution strategy.
  Built-in: `Sync` (serial), `TaskSup` (Task.Supervisor), `Pool` (NimblePool)(in future).

- **Session** — optional process tree per tenant, wrapping `OrchidSymbiont.Runtime`
  for multi-tenant isolation.

## 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
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"}
  )
 
{:ok, res} = Oi.Result.reify(result, "up|result")
# => "HELLO"
```

### Multi-tenant with Session

```elixir
Oi.Runtime.Session.start("tenant-1")
Oi.Runtime.Session.start("tenant-2")

ws = Oi.Workspace.new("tenant-1", graph)
{:ok, compiled} = Oi.compile(ws)
Oi.execute(compiled,
  executor: Oi.Executor.TaskSup,
  executor_opts: [sup: Oi.Runtime.Session.tasks_tuple("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] Scaffold
- [x] Exclipit inputs

## License

MIT