Drop the SxCP prefix from this pack's node names

SxCP is the Prompt-Builder pack's brand; these are Calibrator nodes. Renamed the
display names (cosmetic only — class_types unchanged, so no workflows/bridge break):
'External Prompt (Receptor)', 'Audio Prompt Guide', 'Audio Wave + Segments'; renamed
the JS extension id too. Kept the genuine Prompt-Builder (SxCP) references in the docs.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

README.md

@@ -15,7 +15,7 @@ until the generated image matches the reference.
 | Component | What it is |
 |---|---|
 | `Qwen3-VL Image Judge (Calibrator)` | scores generated vs reference, writes analysis to disk for the agent |
-| `SxCP External Prompt (Receptor)` | stable injection point; the agent sets `prompt/negative/seed` here per queue |
+| `External Prompt (Receptor)` | stable injection point; the agent sets `prompt/negative/seed` here per queue |
 | `agent_bridge.py` | one CLI call = one iteration (inject → `POST /prompt` → wait → print analysis JSON) |
 
 ## The "vllm node": `Qwen3-VL Image Judge (Calibrator)`
@@ -62,7 +62,7 @@ Set **`json_output=true`** for JSON-producing system prompts — it extracts the
 from the reply (stripping any reasoning, prose, or ```fences) and returns it clean and
 re-serialized (falls back to raw text if none parses). Works even with `enable_thinking` on.
 
-## Audio-guided prompts (`SxCP Audio Prompt Guide`)
+## Audio-guided prompts (`Audio Prompt Guide`)
 
 For audio-driven video (e.g. LTX prompt-relay timed to music), the `AudioPromptGuide` node
 turns an audio clip + your free-text motion **notes** into inputs the vision model can use:
@@ -78,7 +78,7 @@ subject image** and the **waveform**, use the two image slots (chat mode sees bo
 
 ```
 your subject image ───────────────────────────────────► Judge.reference_image  (IMAGE 1)
-LoadAudio ─► SxCP Audio Prompt Guide ─┬─ waveform_image ─► Judge.generated_image (IMAGE 2)
+LoadAudio ─► Audio Prompt Guide ─┬─ waveform_image ─► Judge.generated_image (IMAGE 2)
    (notes: "seg3: fast on the drop")  └─ audio_summary  ─► Judge.user_prompt
    (prompts/ltx_audio_relay_system_prompt.txt) ─────────► Judge.system_prompt
                                         Judge (mode=chat, json_output=true) ─► LTX beats JSON
@@ -101,7 +101,7 @@ seg1: slow dreamy intro          # by segment number (also "1:" or "S1:")
 cinematic, moody grade           # no prefix = global (applies throughout)
 ```
 
-### Interactive: `SxCP Audio Wave + Segments`
+### Interactive: `Audio Wave + Segments`
 
 Same outputs, but with an in-node waveform widget: **upload** an audio clip, **play** it,
 and **click the waveform** to place segment boundaries — click to add a split, drag to

docs/AGENT_LOOP.md

@@ -36,7 +36,7 @@ supports a `source_file` for file-first workflows if you ever want it.)
 
 | Piece | Role |
 |---|---|
-| `CalibratorPromptReceptor` (`SxCP External Prompt (Receptor)`) | Stable node the agent injects `prompt/negative/seed` into. Feeds the sampler. |
+| `CalibratorPromptReceptor` (`External Prompt (Receptor)`) | Stable node the agent injects `prompt/negative/seed` into. Feeds the sampler. |
 | `QwenVLImageJudge` (`Qwen3-VL Image Judge (Calibrator)`) | `describe` (first pass) emits the canonical reference; `compare` judges generated vs reference per axis (verdict match/partial/mismatch). When given `reference_description`, compare anchors on that fixed text. Writes `calib_<run_tag>.json` + `latest.json` to `report_dir`. |
 | `agent_bridge.py` | One CLI call = one iteration: inject prompt (+`--ref-desc-file` for the canonical anchor) → queue → wait → print the analysis JSON to stdout. Stdlib only. |
 

nodes/audio_guide.py

@@ -213,4 +213,4 @@ class AudioPromptGuide:
 
 
 NODE_CLASS_MAPPINGS = {"AudioPromptGuide": AudioPromptGuide}
-NODE_DISPLAY_NAME_MAPPINGS = {"AudioPromptGuide": "SxCP Audio Prompt Guide"}
+NODE_DISPLAY_NAME_MAPPINGS = {"AudioPromptGuide": "Audio Prompt Guide"}

nodes/audio_wave_segments.py

@@ -4,7 +4,7 @@ Audio Wave Segments node for ComfyUI.
 An audio node with its own upload that (via the JS widget in web/audio_wave.js)
 displays the waveform, plays the clip, and lets you click segment boundaries on
 the waveform and give each a note. It outputs the same waveform IMAGE + timing
-`audio_summary` as SxCP Audio Prompt Guide (feed those to the judge in chat mode),
+`audio_summary` as Audio Prompt Guide (feed those to the judge in chat mode),
 plus the AUDIO for downstream use.
 
 Works without the JS too: leave `segments_json` as "[]" and it auto-splits, or type
@@ -154,4 +154,4 @@ class AudioWaveSegments:
 
 
 NODE_CLASS_MAPPINGS = {"AudioWaveSegments": AudioWaveSegments}
-NODE_DISPLAY_NAME_MAPPINGS = {"AudioWaveSegments": "SxCP Audio Wave + Segments"}
+NODE_DISPLAY_NAME_MAPPINGS = {"AudioWaveSegments": "Audio Wave + Segments"}

nodes/receptor.py

@@ -61,5 +61,5 @@ class CalibratorPromptReceptor:
 
 NODE_CLASS_MAPPINGS = {"CalibratorPromptReceptor": CalibratorPromptReceptor}
 NODE_DISPLAY_NAME_MAPPINGS = {
-    "CalibratorPromptReceptor": "SxCP External Prompt (Receptor)"
+    "CalibratorPromptReceptor": "External Prompt (Receptor)"
 }

web/audio_wave.js

@@ -1,4 +1,4 @@
-// SxCP Audio Wave + Segments — waveform display + playback + click-to-segment.
+// Audio Wave + Segments — waveform display + playback + click-to-segment.
 // Writes the segment boundaries/notes into the node's hidden `segments_json` widget.
 // First cut: open the browser console for [audiowave] logs if something misbehaves.
 import { app } from "../../scripts/app.js";
@@ -145,7 +145,7 @@ function setupWave(node) {
 }
 
 app.registerExtension({
-  name: "sxcp.audiowave",
+  name: "promptcalib.audiowave",
   async beforeRegisterNodeDef(nodeType, nodeData) {
     if (nodeData?.name !== "AudioWaveSegments") return;
     const orig = nodeType.prototype.onNodeCreated;