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Connect Daydream Cloud

connect_daydream_cloud

Set up a Daydream cloud diffusion bridge in TouchDesigner: sends TOP frames to the API and receives diffused output via Syphon/Spout/NDI.

Instructions

Create a Daydream cloud-hosted StreamDiffusion bridge in TD. A webclientDAT POSTs the encoded source TOP frame to Daydream's REST endpoint; the diffused result is pulled back via a Syphon/Spout/NDI receiver and exposed as a null TOP. API key is read from DAYDREAM_API_KEY in the TD process environment — never inlined. Live probe SKIPPED (requires Daydream account + outbound HTTPS).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fpsNoOutbound POST cadence; clamped 1–30 (cloud rate-limit guard).
nameNoContainer name; defaults to daydream_cloud1.
seedNoOptional seed.
activeNoStart polling immediately (default off so artist can confirm API key is set).
promptNoText prompt sent in the request body.
model_idNoDaydream model slug.streamdiffusion-v1
strengthNoDiffusion strength.
server_urlNoDaydream inference endpoint. Override for self-hosted or staging.https://api.daydream.live/v1/stream
output_modeNoReceiver TOP to instantiate for the relay output.syphon
parent_pathNoCOMP to create the bridge sub-network in./project1
expose_controlsNoAdd custom-page sliders (Prompt, Strength, FPS, Active).
source_top_pathYesTOP whose frames are POSTed to Daydream.
output_source_nameNoNDI source / Syphon-Spout sender name to subscribe to.daydream_out
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds substantial behavioral context beyond the annotations: API key is read from the environment and never inlined, live probe is skipped because it requires a Daydream account and outbound HTTPS, and the tool creates a webclientDAT plus receiver TOP. This discloses network activity and setup prerequisites that the annotations (readOnlyHint: false, openWorldHint: true) only hint at. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each earning its place: purpose, operational flow, and a critical behavioral caveat. No fluff, well-structured, and front-loaded with the main verb and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 13-parameter tool with no output schema, the description gives a strong mental model of the bridge architecture and key environmental requirements. It could go further by explicitly stating the return value (e.g., the created container COMP), but the flow description adequately covers the main behavior. The schema handles parameter details, so the description is reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema covers all 13 parameters with descriptions, so the baseline is 3. The description adds high-level context (e.g., source TOP frames are POSTed, output_mode maps to receiver type), but it does not elaborate on individual parameters beyond what the schema already provides. Thus the description adds marginal value over the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Create a Daydream cloud-hosted StreamDiffusion bridge in TD.' This clearly distinguishes the tool from siblings like connect_comfyui or connect_replicate_prediction_bridge. It further details the data flow (webclientDAT POSTs to REST, receiver pulls back, exposed as null TOP), leaving no ambiguity about what the tool accomplishes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: when a Daydream cloud-hosted StreamDiffusion bridge is needed in TouchDesigner. It also flags a key usage consideration (live probe skipped due to account/HTTPS requirements). However, it does not explicitly mention alternatives or exclusion criteria, so it stops short of the highest rating.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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