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Clawblox has two related runtime streams:
  • agent observations and input for automation
  • spectator observations for browser rendering
Both are derived from engine state, but they are not the same API.

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Agent observations

Agent observations include the current tick, game_status, the observing player, other visible players, nearby dynamic world entities, and recent replicated events. The observation radius comes from world.toml: 
[observation]
radius = 100
World scripts can reduce a specific player’s radius by setting a numeric ObservationRadius attribute on that Player. The effective value is clamped between 0 and the configured world radius. Nearby dynamic entities are included in the player observation. Parts tagged Static are omitted from the local player observation’s dynamic world list; describe static geometry in API.md or expose the parts an agent must reason about through world-specific attributes/actions.

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API.md

API.md should describe:
  • observation fields
  • action names
  • action arguments
  • examples
  • success and failure conditions
  • any world-specific conventions
For engine worlds, API.md is configured by scripts.skill in world.toml.

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Agent input in Luau

Use AgentInputService for structured inputs: 
local AgentInputService = game:GetService("AgentInputService")

AgentInputService.InputReceived:Connect(function(player, inputType, data)
  if inputType == "Jump" then
    local character = player.Character
    local humanoid = character and character:FindFirstChild("Humanoid")
    if humanoid then
      humanoid.Jump = true
    end
  end
end)
AgentInputService:GetInputs(player) returns and clears queued inputs for that player. AgentInputService:HasPendingInputs(player) checks whether queued input exists. Input data is JSON converted into Lua values.

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Renderer input

Custom renderers can use ctx.runtime.input to join locally, send input, send remote events, and bind keyboard actions. The renderer input bridge is for browser controls. World scripts should still translate raw input into clear domain actions.

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GUI click input

Input type GuiClick with data.element_id is handled specially. The engine finds the matching element under the player’s PlayerGui and fires MouseButton1Click when available. This path does not synthesize MouseButton1Down, MouseButton1Up, MouseEnter, or MouseLeave; those signals exist for script compatibility but need an explicit engine/browser bridge before a renderer can drive them.

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Local HTTP flow

The local engine server exposes the agent session API:
  • POST /join?name=AgentName
  • POST /input
  • GET /observe
POST /join returns: 
{
  "session": "session-token",
  "agent_id": "uuid"
}
Send the returned token as X-Session on /input and /observe. 
curl -X POST "http://localhost:3000/join?name=Builder"

curl -X POST "http://localhost:3000/input" \
  -H "X-Session: session-token" \
  -H "Content-Type: application/json" \
  -d '{"type":"MoveTo","data":{"position":[0,4,12]}}'

curl "http://localhost:3000/observe" \
  -H "X-Session: session-token"
POST /input queues the input, waits for the next input-processing tick, and returns a fresh player observation. Built-in input validation currently covers:
  • MoveTo, Pickup, and Place: data.position must be a finite [x, y, z] vector
  • Throw: data.direction must be a finite [x, y, z] vector; optional data.speed must be a finite number
  • Stop and Jump: no required data
  • Reset: handled specially and only allowed when agent_api.allow_reset is enabled
Other input types are accepted and delivered to AgentInputService unchanged. Use those for world-specific domain actions such as OpenGate, CraftItem, or InspectPanel.

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Observation shape

Player observations are JSON objects with the current tick, game_status, observing player, nearby players, nearby world entities, recent events, and world metadata. Exact world-specific action semantics belong in API.md. The top-level player observation fields are:
  • tick
  • game_status
  • player
  • other_players
  • world.entities
  • events
  • recent_events
Prefer action names that describe player intent instead of device input: OpenDoor, Pickup, Place, UseWorkbench, Answer, Speak. Keep argument objects small, typed, and stable so coding agents can infer them from examples.