diff --git a/tests/fixtures/local-inspect/resolver-vectors.json b/tests/fixtures/local-inspect/resolver-vectors.json
new file mode 100644
index 00000000..dcece2f6
--- /dev/null
+++ b/tests/fixtures/local-inspect/resolver-vectors.json
@@ -0,0 +1 @@
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 猫\"}}, \"104\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"\\tcafé
 \", \"prepend_text\": \"
 …😀\", \"append_text\": \"fox\\n\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"105\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": \" 😀\", \"text_l\": \" 😀\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-48", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": []}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\u001cfoxcafé\"}}, \"106\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" detailed fur \"}}, \"105\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"106\", 0]}}, \"104\": {\"class_type\": \"PromptManagerFocused\", \"inputs\": {\"text\": [\"105\", 0], \"prepend_text\": \"\\tfox
 猫\", \"append_text\": \"　猫…café\", \"clip\": [\"4\", 1]}}, \"103\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"103\", 0], \"conditioning_2\": [\"103\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "café
 😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "102"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-49", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"café
 😀\", \"clip\": [\"4\", 1]}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"a,\\t\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt is chosen at run time (PromptSearchList).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "😀"}}, "resolution": {"node": {"class_type": "PromptSearchList", "id": "105"}, "reason": "Text is decided at run time", "reason_code": "runtime-value", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-50", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"104\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"103\": {\"class_type\": \"PrimitiveString\", \"inputs\": {\"value\": \" \\t\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\u2028 \\ud83d\\ude00\\u2028 \", \"negative_text\": \"\\ufeffdetailed fur\\t\"}}, \"105\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" caf\\u00e9\\ufeffsnow\"}}, \"104\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"105\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "101"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-51", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"105\": {\"records\": [{\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\", \"positive_text\": \"\\ud83d\\ude00\\t\", \"negative_effective_text\": \"\\t\\u732b\\t\"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"a,\\tdetailed fur\", \"prepend_text\": \"\\nfox\\n\", \"append_text\": \"fox\\u3000\\ud83d\\ude00\"}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \"caf\\u00e9 \", \"string_b\": [\"104\", 0], \"delimiter\": \", \"}}, \"102\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"103\", 0], \"text_l\": [\"103\", 0]}}, \"105\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeffcaf\\u00e9\\u2028 \", \"negative_text\": \"\\t\\u732b\\t\", \"prepend_text\": \"\\ufeff\\ud83d\\ude00\\u001cdetailed fur\", \"append_text\": \"fox\\u2028 \"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 0], \"conditioning_2\": [\"105\", 0]}}, \"109\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": \" a,\\na,\", \"string_b\": \"\\ufeff\\u2028 \", \"delimiter\": \"\"}}, \"108\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"109\", 0]}}, \"107\": {\"class_type\": \"PrimitiveStringMultiline\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"107\", 0], \"text_l\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "fox, a,"}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "103"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-52", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\"}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"　a,\\t\", \"strip_newlines\": true}}, \"101\": {\"class_type\": \"PromptManagerPositive\", \"inputs\": {\"text\": [\"102\", 0], \"prepend_text\": \"\\tfox　\", \"negative_text\": \" snow
 😀\"}}, \"103\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"　a,\"}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Selector branches have different prompts", "reason_code": null, "sampler_id": "3", "state": "ambiguous"}}, "gap": false, "name": "fuzz-0-53", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"106\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\nsnow\\ufeffdetailed fur\", \"negative_text\": \"\\nfox\\u2028 \", \"prepend_text\": \"a,\", \"append_text\": \"\\ta,\\u001c\"}}, \"105\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\u0085caf\\u00e9\", \"prepend_text\": \"\\ufeffcaf\\u00e9\\u3000\", \"append_text\": \"\\ufeff\\u732b\"}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"105\", 0], \"strip_newlines\": true}}, \"103\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": [\"104\", 0], \"prepend_text\": \"\\ufeffa,\\u0085\", \"append_text\": \"\\tdetailed fur\\u3000detailed fur\", \"clip\": [\"4\", 1]}}, \"101\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": [\"4\", 0], \"on_true\": [\"102\", 0], \"on_false\": [\"103\", 0]}}, \"109\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"\\ufeff\\u732b\\u0085\", \"negative_text\": \"\\ta,\\n\\ud83d\\ude00\", \"prepend_text\": \"\\u2028 caf\\u00e9\\u2028 \", \"append_text\": \" \\ufeffcaf\\u00e9\"}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 1]}}, \"111\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"\\u001cdetailed fur\\u001c\", \"strip_newlines\": false}}, \"110\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"111\", 0], \"text_l\": \"\"}}, \"107\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"108\", 0], \"conditioning_2\": [\"110\", 0]}}, \"106\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Execution evidence does not match recorded node inputs", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-54", "records": {"comfyassets_prompt_pairs": "{\"version\": 1, \"nodes\": {\"102\": {\"records\": [{\"text\": \"\\ufeffdetailed fur\\u0085!\", \"negative_text\": \"\\u3000fox \", \"prepend_text\": \"caf\\u00e9\", \"append_text\": \"\", \"positive_text\": \"\\ufeffa,\\n\", \"negative_effective_text\": \"\\u3000fox \"}]}}}", "prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"detailed fur…\", \"negative_text\": \"　fox \", \"prepend_text\": \"…café\\u001c\", \"append_text\": \"
 \\u001c\"}}, \"101\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"102\", 1], \"conditioning_2\": [\"102\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "No supported sampler was found.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "No supported sampler pair found", "reason_code": "no-sampler", "sampler_id": null, "state": "unresolved"}}, "gap": false, "name": "fuzz-0-55", "records": {"prompt": "{\"3\": {\"class_type\": null, \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": \"fox \", \"strip_newlines\": false}}, \"103\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"104\", 0], \"string_b\": \"\\u3000caf\\u00e9\\u2028 \", \"delimiter\": \"\"}}, \"102\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"103\", 0]}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": [\"102\", 0], \"clip\": [\"4\", 1]}}, \"109\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\\tcaf\\u00e9\\n\\ud83d\\ude00\", \"clip\": [\"4\", 1]}}, \"108\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"109\", 0]}}, \"107\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"108\", 0]}}, \"106\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"107\", 0]}}, \"105\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"106\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (FancyEncoder).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "FancyEncoder", "id": "101"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-56", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"102\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"101\": {\"class_type\": \"FancyEncoder\", \"inputs\": {\"text\": \"\\t\\u732b\"}}, \"102\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u001csnow\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-57", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"105\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": []}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\u3000caf\\u00e9\\t\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}, \"102\": {\"class_type\": \"ConditioningZeroOut\", \"inputs\": {\"conditioning\": [\"103\", 0]}}, \"101\": {\"class_type\": \"FluxGuidance\", \"inputs\": {\"conditioning\": [\"102\", 0]}}, \"106\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ufeffa,\\ufeff\\ud83d\\ude00\"}}, \"107\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \" a,\\ufeff\\ud83d\\ude00\"}}, \"105\": {\"class_type\": \"easy ifElse\", \"inputs\": {\"boolean\": false, \"on_true\": [\"106\", 0], \"on_false\": [\"107\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (CLIPTextEncodeSDXL).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncodeSDXL", "id": "101"}, "reason": "Encoder parts have different texts", "reason_code": "composite", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-58", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"107\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"104\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"😀\"}}, \"103\": {\"class_type\": \"Text Concatenate\", \"inputs\": {\"text_d\": \"
 猫\\t\", \"text_a\": \"…detailed fur
 detailed fur\", \"text_b\": [\"104\", 0], \"clean_whitespace\": true}}, \"106\": {\"class_type\": \"StringConstant\", \"inputs\": {\"string\": \"
 detailed fur \"}}, \"105\": {\"class_type\": \"StringConstantMultiline\", \"inputs\": {\"string\": [\"106\", 0], \"strip_newlines\": false}}, \"102\": {\"class_type\": \"StringConcatenate\", \"inputs\": {\"string_a\": [\"103\", 0], \"string_b\": [\"105\", 0], \"delimiter\": \" \"}}, \"101\": {\"class_type\": \"CLIPTextEncodeSDXL\", \"inputs\": {\"text_g\": [\"102\", 0], \"text_l\": \"猫\\ndetailed fur\"}}, \"107\": {\"class_type\": \"PromptManagerPair\", \"inputs\": {\"text\": \"
 猫\\n\", \"negative_text\": \"\\nsnow
 猫\", \"prepend_text\": \"
 detailed fur　\", \"append_text\": \"\\u001c\"}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "gap": false, "name": "fuzz-0-59", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"101\", 0], \"negative\": [\"103\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"102\": {\"class_type\": \"PromptManagerText\", \"inputs\": {\"text\": \"\\nfox\\t\", \"prepend_text\": \" \\ud83d\\ude00\\u001c\", \"append_text\": \"\\u001csnow \"}}, \"101\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {}}, \"104\": {\"class_type\": \"PromptSearchList\", \"inputs\": {\"text\": \"\\ncaf\\u00e9\\u3000\"}}, \"103\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"104\", 0]}}}"}}], "version": 1}
diff --git a/tests/js/support/local-inspect-oracle.mjs b/tests/js/support/local-inspect-oracle.mjs
index 61711ced..3a02a7ff 100644
--- a/tests/js/support/local-inspect-oracle.mjs
+++ b/tests/js/support/local-inspect-oracle.mjs
@@ -14,6 +14,9 @@
 //         the carrier rule alone, as the server selects from ffprobe's tag map.
 //         A {records} entry (records null = an unreadable file) answers
 //         {classified: null, result: null, metadata} for the projection alone.
+// A {mode: 'resolve'} entry (PR L3) answers {evidence} or {gap: true}: resolveLocalEvidence of its
+// {path}'s local read, or of its {records} texts, with the repository semantics table
+// (gap: a path the port leaves to Task 9).
 import fs from 'node:fs';
 import path from 'node:path';
 import { createRequire } from 'node:module';
@@ -28,6 +31,18 @@ const web = path.join(here, '..', '..', '..', 'web', 'js', 'workspace');
 const { selectVideoCarrier } = await import(moduleUrl(path.join(web, 'local-video.mjs')));
 const { projectMetadata } = await import(moduleUrl(path.join(web, 'local-projection.mjs')));
 const { readLocalFile, toInspectionRead } = await import(moduleUrl(path.join(web, 'local-inspection.mjs')));
+const { resolveLocalEvidence, compileSemantics, LocalResolverGap } = await import(moduleUrl(path.join(web, 'local-resolver.mjs')));
+const semantics = compileSemantics(JSON.parse(fs.readFileSync(path.join(here, '..', '..', '..', 'web', 'js', 'inspection-semantics.json'), 'utf8')));
+
+/** The local evidence for one set of record texts, or {gap: true}. */
+function resolved(records) {
+    try {
+        return { evidence: resolveLocalEvidence(records, semantics) };
+    } catch (error) {
+        if (error instanceof LocalResolverGap) return { gap: true };
+        throw error;
+    }
+}
 
 const selectionRead = (selection) => selection.status === 'complete' ?
     { records: selection.records, record_formats: selection.record_formats, carrierText: selection.carrierText, limited: selection.limited } : null;
@@ -37,6 +52,13 @@ for await (const chunk of process.stdin) chunks.push(chunk);
 const output = {};
 for (const entry of JSON.parse(Buffer.concat(chunks).toString('utf8'))) {
     const { name } = entry;
+    if (entry.mode === 'resolve') {
+        if (entry.records !== undefined) { output[name] = resolved(entry.records); continue; }
+        const { classification, result } = await readLocalFile(await fs.openAsBlob(entry.path), { pngMetadata });
+        const read = classification === null ? null : toInspectionRead(classification, result).read;
+        output[name] = read === null ? { unreadable: true } : resolved(read.records);
+        continue;
+    }
     if (entry.records !== undefined) {
         const read = entry.records === null ? null : {
             records: entry.records,
diff --git a/tests/js/workspace-local-resolver.test.js b/tests/js/workspace-local-resolver.test.js
new file mode 100644
index 00000000..af43fd0e
--- /dev/null
+++ b/tests/js/workspace-local-resolver.test.js
@@ -0,0 +1,110 @@
+// PR L3 Task 8: the server's inspection resolver in this browser. The values below are what CPython answers
+// (json.loads, len, str.strip, repr, utils/prompt_inspector.inspect_prompt_evidence); the full comparison with the
+// server runs in tests/test_local_inspect_parity.py through tests/js/support/local-inspect-oracle.mjs.
+import test from 'node:test';
+import assert from 'node:assert/strict';
+import fs from 'node:fs';
+
+const py = await import('../../web/js/workspace/py-json.mjs');
+const resolver = await import('../../web/js/workspace/local-resolver.mjs');
+const semantics = resolver.compileSemantics(JSON.parse(fs.readFileSync(new URL('../../web/js/inspection-semantics.json', import.meta.url), 'utf8')));
+
+test('json.loads keeps Python value kinds and dict order', () => {
+    const value = py.pyJsonLoads('{"9": 1, "10": 1.0, "a": NaN, "9": [true, -0, 9007199254740993, -Infinity]}');
+    assert.ok(value instanceof Map);
+    // A repeated key keeps its first position and takes its last value; integer-like keys keep text order.
+    assert.deepEqual([...value.keys()], ['9', '10', 'a']);
+    const [flag, zero, big, negative] = value.get('9');
+    assert.equal(flag, true); assert.equal(zero, 0); assert.equal(big, 9007199254740993n);
+    assert.ok(negative instanceof py.PyFloat); assert.equal(negative.value, -Infinity);
+    assert.ok(value.get('10') instanceof py.PyFloat, '1.0 is a float, not an int');
+    assert.ok(Number.isNaN(value.get('a').value));
+    assert.equal(py.isInt(value.get('10')), false);
+    assert.equal(py.pyJsonLoads('"\\ud83d\\ude00\\ud800"'), '\u{1f600}\ud800');
+    for (const bad of ['{}', '{"a":1,}', '[01]', '{"a" 1}', '"\u0001"', '"\\x"', '1 2', '-', `${'9'.repeat(4301)}`, '"\\ud800\\uzzzz"']) {
+        assert.throws(() => py.pyJsonLoads(bad), py.PyValueError, bad);
+    }
+    assert.equal(py.pyJsonLoads(` ${'9'.repeat(4300)}\n`), BigInt('9'.repeat(4300)));
+});
+
+test('str helpers measure, slice and strip as CPython', () => {
+    assert.equal(py.pyLen('a\u{1f600}\ud800'), 3);
+    assert.equal(py.pySlice('\u{1f600}\u{1f600}x', 2), '\u{1f600}\u{1f600}');
+    // str.isspace() includes \x1c-\x1f and \x85 and excludes , unlike String.prototype.trim.
+    assert.equal(py.pyStrip('\x1c\x85 a b　\x1f'), 'a b');
+    assert.equal(py.pyStrip('a'), 'a');
+    assert.deepEqual([1.0, 0.0001, 1e-5, 1e16, 123456789012345.6, -2.5, 1e22].map(py.pyFloatRepr),
+        ['1.0', '0.0001', '1e-05', '1e+16', '123456789012345.6', '-2.5', '1e+22']);
+    assert.deepEqual([null, true, 0, 1n, new py.PyFloat(2), '', [], new Map()].map(py.pyTruthy), [false, true, false, true, true, false, false, false]);
+    assert.deepEqual([1, 1n, true, new py.PyFloat(1), '1', 2].map(py.pyEqualsOne), [true, true, true, true, false, false]);
+});
+
+const encode = text => ({class_type: 'CLIPTextEncode', inputs: {text, clip: ['4', 1]}});
+const sampler = (extra = {}) => ({class_type: 'KSampler', inputs: {seed: 1, positive: ['6', 0], negative: ['7', 0], latent_image: ['5', 0], model: ['4', 0], ...extra}});
+const base = (nodes = {}) => ({'3': sampler(), '4': {class_type: 'CheckpointLoaderSimple', inputs: {ckpt_name: 'm.safetensors'}},
+    '5': {class_type: 'EmptyLatentImage', inputs: {width: 64, height: 64, batch_size: 1}}, '6': encode('a fox'), '7': encode('blurry'), ...nodes});
+
+test('a single chain resolves both roles with their sources', () => {
+    const evidence = resolver.resolveLocalEvidence({prompt: JSON.stringify(base())}, semantics);
+    assert.deepEqual(evidence, {
+        prompts: {positive: {status: 'resolved', text: 'a fox', source: 'graph-inferred'}, negative: {status: 'resolved', text: 'blurry', source: 'graph-inferred'}},
+        resolution: {state: 'resolved', sampler_id: '3', reason: '', reason_code: null, node: null},
+    });
+});
+
+test('records without roles, malformed text and a missing sampler answer as the server', () => {
+    assert.deepEqual(resolver.resolveLocalEvidence({workflow: '{}'}, semantics).resolution,
+        {state: 'absent', sampler_id: null, reason: 'No parsed prompt metadata', reason_code: null, node: null});
+    const malformed = resolver.resolveLocalEvidence({prompt: '{broken'}, semantics);
+    assert.equal(malformed.resolution.reason, 'Prompt evidence is malformed');
+    assert.equal(malformed.prompts.positive.message, 'Prompt metadata in this file is malformed.');
+    const none = resolver.resolveLocalEvidence({prompt: JSON.stringify({'1': encode('x'), '2': {class_type: 'MySampler', inputs: {positive: ['1', 0]}}})}, semantics);
+    assert.deepEqual(none.resolution, {state: 'unresolved', sampler_id: null, reason: 'No supported sampler pair found (saw MySampler)', reason_code: 'no-sampler', node: null});
+    assert.equal(none.prompts.negative.message, 'No supported sampler was found.');
+    assert.equal(resolver.resolveLocalEvidence({prompt: JSON.stringify(base()), parameters: 'x'}, null).resolution.reason, 'Inspection node semantics are unavailable');
+});
+
+test('a float output slot is not a link, and a runtime node is named', () => {
+    const floatSlot = resolver.resolveLocalEvidence({prompt: JSON.stringify(base()).replace('"positive":["6",0]', '"positive":["6",0.0]')}, semantics);
+    assert.deepEqual(floatSlot.resolution, {state: 'unresolved', sampler_id: '3', reason: 'Expected a typed graph link or text input', reason_code: 'malformed', node: null});
+    const runtime = resolver.resolveLocalEvidence({prompt: JSON.stringify(base({'6': {class_type: 'PromptSearchList', inputs: {}}}))}, semantics);
+    assert.deepEqual(runtime.resolution.node, {id: '6', class_type: 'PromptSearchList'});
+    assert.equal(runtime.prompts.positive.message, 'Prompt is chosen at run time (PromptSearchList).');
+});
+
+test('execution evidence replaces a PromptManagerPair text when it matches the node inputs', () => {
+    const pair = {class_type: 'PromptManagerPair', inputs: {text: 'fox', negative_text: 'blur', prepend_text: '', append_text: ''}};
+    const record = {text: 'fox', negative_text: 'blur', positive_text: 'fox, executed', negative_effective_text: 'blur', prepend_text: '', append_text: ''};
+    const graph = base({'3': sampler({positive: ['8', 0], negative: ['8', 1]}), '8': pair});
+    const evidence = resolver.resolveLocalEvidence({prompt: JSON.stringify(graph), comfyassets_prompt_pairs: JSON.stringify({version: 1, nodes: {'8': {records: [record]}}})}, semantics);
+    assert.deepEqual(evidence.prompts.positive, {status: 'resolved', text: 'fox, executed', source: 'execution'});
+    const stale = resolver.resolveLocalEvidence({prompt: JSON.stringify(graph), comfyassets_prompt_pairs: JSON.stringify({version: 1, nodes: {'8': {records: [{...record, text: 'other'}]}}})}, semantics);
+    assert.equal(stale.resolution.reason, 'Execution evidence does not match recorded node inputs');
+});
+
+test('several samplers and A1111 parameters are left to Task 9', () => {
+    assert.throws(() => resolver.resolveLocalEvidence({prompt: JSON.stringify(base({'9': sampler()}))}, semantics), resolver.LocalResolverGap);
+    assert.throws(() => resolver.resolveLocalEvidence({parameters: 'a fox\nSteps: 20, Sampler: euler'}, semantics), resolver.LocalResolverGap);
+});
+
+test('an unusable semantics table is refused', () => {
+    for (const doc of [null, {schema: 2}, {schema: 1, samplers: []}]) assert.throws(() => resolver.compileSemantics(doc), resolver.SemanticsError);
+});
+
+// The committed server answers (tests/fixtures/local-inspect/resolver-vectors.json, written by
+// `python3 -m tests.local_resolver_cases --write` and checked current by the Python suite).
+test('committed server answers equal the local evidence', () => {
+    const {vectors} = JSON.parse(fs.readFileSync(new URL('../fixtures/local-inspect/resolver-vectors.json', import.meta.url), 'utf8'));
+    const canonical = value => Array.isArray(value) ? value.map(canonical) :
+        value !== null && typeof value === 'object' ? Object.fromEntries(Object.keys(value).sort().map(key => [key, canonical(value[key])])) : value;
+    let compared = 0;
+    for (const {name, records, gap, evidence} of vectors) {
+        if (gap) {
+            assert.throws(() => resolver.resolveLocalEvidence(records, semantics), resolver.LocalResolverGap, name);
+            continue;
+        }
+        assert.deepEqual(canonical(resolver.resolveLocalEvidence(records, semantics)), canonical(evidence), name);
+        compared++;
+    }
+    assert.ok(compared > 140, `compared ${compared}`);
+});
diff --git a/tests/local_resolver_cases.py b/tests/local_resolver_cases.py
new file mode 100644
index 00000000..f3cb8a57
--- /dev/null
+++ b/tests/local_resolver_cases.py
@@ -0,0 +1,1307 @@
+"""Record sets for the local resolver parity test (#249 local Inspect, PR L3 Task 8).
+
+Every case is a dict of record texts as ``read_inspection_file`` returns them
+(``prompt``, ``workflow``, ``comfyassets_prompt_pairs``), so the server's
+``inspect_prompt_evidence`` and the browser's ``resolveLocalEvidence`` read the
+same bytes. ``golden_cases`` names one case per traced strategy, bound and
+malformed shape; ``fuzz_cases`` builds coherent single-sampler graphs from the
+same node vocabulary, then corrupts some of them. All content is synthetic.
+``single_chain`` says, from the server's own sampler table, whether a record
+set resolves without candidate selection (the Task 8 subset).
+"""
+
+import argparse
+import json
+import random
+from pathlib import Path
+
+from utils.inspection_semantics import get_semantics
+from utils.prompt_inspector import inspect_prompt_evidence
+from utils.prompt_pair_resolver import INSPECTION_PROFILE
+
+VECTORS_PATH = (
+    Path(__file__).resolve().parent
+    / "fixtures"
+    / "local-inspect"
+    / "resolver-vectors.json"
+)
+# Committed record sets stay small; the large bound cases are built at test time.
+MAX_VECTOR_CHARS = 20_000
+COMMITTED_FUZZ = (0, 60)
+
+SPACES = ["", " ", "\t", "\n", "\x1c", "\x85", "　", "", "
 "]
+WORDS = ["fox", "snow", "café", "猫", "\U0001f600", "a,", "detailed fur", ""]
+
+
+def _dump(graph, ensure_ascii=False):
+    return json.dumps(graph, ensure_ascii=ensure_ascii)
+
+
+def _encode(text, name="CLIPTextEncode"):
+    return {"class_type": name, "inputs": {"text": text, "clip": ["4", 1]}}
+
+
+def _graph(positive, negative, extra=None, sampler=None):
+    graph = {
+        "3": sampler
+        or {
+            "class_type": "KSampler",
+            "inputs": {
+                "seed": 1,
+                "model": ["4", 0],
+                "positive": positive,
+                "negative": negative,
+                "latent_image": ["5", 0],
+            },
+        },
+        "4": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}},
+        "5": {"class_type": "EmptyLatentImage", "inputs": {"width": 64}},
+    }
+    graph.update(extra or {})
+    return graph
+
+
+def _pair(text="fox", negative="blur", prepend="", append=""):
+    return {
+        "class_type": "PromptManagerPair",
+        "inputs": {
+            "text": text,
+            "negative_text": negative,
+            "prepend_text": prepend,
+            "append_text": append,
+        },
+    }
+
+
+def _execution(node_id, **changes):
+    record = {
+        "text": "fox",
+        "negative_text": "blur",
+        "positive_text": "fox executed",
+        "negative_effective_text": "blur",
+        "prepend_text": "",
+        "append_text": "",
+    }
+    record.update(changes)
+    return json.dumps({"version": 1, "nodes": {node_id: {"records": [record]}}})
+
+
+def _chain(length, start="6"):
+    nodes = {start: _encode("deep")}
+    previous = start
+    for index in range(length):
+        node_id = f"r{index}"
+        nodes[node_id] = {"class_type": "Reroute", "inputs": {"value": [previous, 0]}}
+        previous = node_id
+    return nodes, previous
+
+
+def _combine_tree(levels):
+    """A full ConditioningCombine tree over equal encoders: many distinct visits."""
+    nodes, layer = {}, []
+    for index in range(2**levels):
+        nodes[f"e{index}"] = _encode("same")
+        layer.append(f"e{index}")
+    level = 0
+    while len(layer) > 1:
+        nxt = []
+        for index in range(0, len(layer), 2):
+            node_id = f"c{level}_{index}"
+            nodes[node_id] = {
+                "class_type": "ConditioningCombine",
+                "inputs": {
+                    "conditioning_1": [layer[index], 0],
+                    "conditioning_2": [layer[index + 1], 0],
+                },
+            }
+            nxt.append(node_id)
+        layer, level = nxt, level + 1
+    return nodes, layer[0]
+
+
+def golden_cases():
+    """Named record sets, one per strategy, bound and malformed shape."""
+    cases = {}
+
+    def add(name, graph=None, prompt=None, **records):
+        cases[name] = {"prompt": prompt if prompt is not None else _dump(graph)}
+        cases[name].update(records)
+
+    neg = ["7", 0]
+    base = {"6": _encode("a fox"), "7": _encode("blurry")}
+    add("encode", _graph(["6", 0], neg, base))
+    add("empty-positive", _graph(["6", 0], neg, {**base, "6": _encode(" \x85")}))
+    add("feff-positive", _graph(["6", 0], neg, {**base, "6": _encode("")}))
+    add("no-negative", _graph(["6", 0], None, base))
+    add(
+        "negative-missing-input",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base)).replace('"negative": ["7", 0], ', ""),
+    )
+    add(
+        "float-slot",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base)).replace('["6", 0]', '["6", 0.0]'),
+    )
+    add(
+        "bool-slot",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base)).replace('["6", 0]', '["6", true]'),
+    )
+    add("int-id", None, prompt=_dump(_graph([6, 0], neg, base)))
+    add("dangling", _graph(["60", 0], neg, base))
+    add("wrong-slot", _graph(["6", 3], neg, base))
+    add(
+        "cycle",
+        _graph(
+            ["8", 0],
+            neg,
+            {**base, "8": {"class_type": "Reroute", "inputs": {"value": ["8", 0]}}},
+        ),
+    )
+    add(
+        "reroute-ambiguous",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {
+                    "class_type": "Reroute",
+                    "inputs": {"value": ["6", 0], "in": ["6", 0]},
+                },
+            },
+        ),
+    )
+    add(
+        "duplicate-key",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base))[:-1]
+        + ', "6": '
+        + _dump(_encode("last wins"))
+        + "}",
+    )
+    add(
+        "nan-input",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base)).replace('"seed": 1', '"seed": NaN'),
+    )
+    add(
+        "class-type-number",
+        _graph(
+            ["6", 0], neg, {**base, "6": {"class_type": 1.5, "inputs": {"text": "x"}}}
+        ),
+    )
+    add(
+        "class-type-missing",
+        _graph(["6", 0], neg, {**base, "6": {"inputs": {"text": "x"}}}),
+    )
+    add(
+        "inputs-list",
+        _graph(
+            ["6", 0],
+            neg,
+            {**base, "6": {"class_type": "CLIPTextEncode", "inputs": ["x"]}},
+        ),
+    )
+    add("prompt-list", None, prompt="[1, 2]")
+    add("prompt-empty", None, prompt="{}")
+    add("prompt-bom", None, prompt="" + _dump(_graph(["6", 0], neg, base)))
+    add(
+        "huge-int",
+        None,
+        prompt=_dump(_graph(["6", 0], neg, base)).replace(
+            '"seed": 1', '"seed": ' + "9" * 4301
+        ),
+    )
+    add("only-execution", None, prompt=None)
+    cases["only-execution"] = {"comfyassets_prompt_pairs": _execution("8")}
+    add(
+        "no-sampler",
+        {
+            "1": _encode("x"),
+            "2": {"class_type": "XSampler", "inputs": {"positive": ["1", 0]}},
+            "9": {"class_type": "YGuider", "inputs": {"guider": ["1", 0]}},
+        },
+    )
+    add("no-sampler-plain", {"1": _encode("x")})
+    sdxl = {
+        "class_type": "CLIPTextEncodeSDXL",
+        "inputs": {"text_g": "a", "text_l": "a"},
+    }
+    add("sdxl-equal", _graph(["8", 0], neg, {**base, "8": sdxl}))
+    add(
+        "sdxl-one",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {
+                    "class_type": "CLIPTextEncodeSDXL",
+                    "inputs": {"text_g": "a", "text_l": ""},
+                },
+            },
+        ),
+    )
+    add(
+        "sdxl-differ",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {
+                    "class_type": "CLIPTextEncodeSDXL",
+                    "inputs": {"text_g": "a", "text_l": "b"},
+                },
+            },
+        ),
+    )
+    for flag in (False, True, 1, ["9", 0]):
+        smz = {
+            "class_type": "smZ CLIPTextEncode",
+            "inputs": {"text": "t", "text_g": "g", "text_l": "g", "with_SDXL": flag},
+        }
+        add(f"smz-{json.dumps(flag)}", _graph(["8", 0], neg, {**base, "8": smz}))
+    add(
+        "zeroed",
+        _graph(
+            ["6", 0],
+            ["8", 0],
+            {
+                **base,
+                "8": {
+                    "class_type": "ConditioningZeroOut",
+                    "inputs": {"conditioning": ["6", 0]},
+                },
+            },
+        ),
+    )
+    add(
+        "passthrough",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {
+                    "class_type": "FluxGuidance",
+                    "inputs": {"conditioning": ["6", 0], "guidance": 3.5},
+                },
+            },
+        ),
+    )
+    add(
+        "controlnet-slot1",
+        _graph(
+            ["8", 0],
+            ["8", 1],
+            {
+                **base,
+                "8": {
+                    "class_type": "ControlNetApplyAdvanced",
+                    "inputs": {"positive": ["6", 0], "negative": ["7", 0]},
+                },
+            },
+        ),
+    )
+    add(
+        "combine-equal",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "9": _encode("a fox"),
+                "8": {
+                    "class_type": "ConditioningCombine",
+                    "inputs": {"conditioning_1": ["6", 0], "conditioning_2": ["9", 0]},
+                },
+            },
+        ),
+    )
+    add(
+        "combine-differ",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {
+                    "class_type": "ConditioningCombine",
+                    "inputs": {"conditioning_1": ["6", 0], "conditioning_2": ["7", 0]},
+                },
+            },
+        ),
+    )
+    for condition in (True, False, ["9", 0], 1, "true"):
+        select = {
+            "class_type": "easy ifElse",
+            "inputs": {"boolean": condition, "on_true": ["6", 0], "on_false": ["7", 0]},
+        }
+        add(
+            f"select-{json.dumps(condition)}",
+            _graph(
+                ["8", 0],
+                ["10", 0],
+                {
+                    **base,
+                    "8": select,
+                    "10": _encode("neg"),
+                    "9": {"class_type": "PrimitiveBoolean", "inputs": {"value": True}},
+                },
+            ),
+        )
+    same = {
+        "class_type": "easy ifElse",
+        "inputs": {"boolean": ["9", 0], "on_true": ["6", 0], "on_false": ["11", 0]},
+    }
+    add(
+        "select-converge",
+        _graph(["8", 0], neg, {**base, "8": same, "11": _encode("a fox")}),
+    )
+    # Two selectors on one condition: forced together, so two candidates, not four.
+    add(
+        "select-shared",
+        _graph(
+            ["8", 0],
+            ["12", 0],
+            {
+                **base,
+                "8": {
+                    "class_type": "easy ifElse",
+                    "inputs": {
+                        "boolean": ["9", 0],
+                        "on_true": ["6", 0],
+                        "on_false": ["7", 0],
+                    },
+                },
+                "12": {
+                    "class_type": "Switch conditioning [Crystools]",
+                    "inputs": {
+                        "boolean": ["9", 0],
+                        "on_true": ["7", 0],
+                        "on_false": ["6", 0],
+                    },
+                },
+            },
+        ),
+    )
+    add(
+        "runtime",
+        _graph(
+            ["8", 0],
+            neg,
+            {**base, "8": {"class_type": "PromptSearchList", "inputs": {}}},
+        ),
+    )
+    add(
+        "unknown-encoder",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {"class_type": "FancyEncoder" + "x" * 80, "inputs": {"text": "x"}},
+            },
+        ),
+    )
+    add(
+        "primitive",
+        _graph(
+            ["6", 0],
+            neg,
+            {
+                **base,
+                "6": _encode(["8", 0]),
+                "8": {
+                    "class_type": "PrimitiveStringMultiline",
+                    "inputs": {"value": "  multi\nline "},
+                },
+            },
+        ),
+    )
+    add(
+        "string-kind-mismatch",
+        _graph(
+            ["8", 0],
+            neg,
+            {**base, "8": {"class_type": "PrimitiveString", "inputs": {"value": "x"}}},
+        ),
+    )
+    concat = {
+        "class_type": "StringConcatenate",
+        "inputs": {"string_a": " a ", "string_b": "", "delimiter": ", "},
+    }
+    add(
+        "string-concatenate",
+        _graph(["6", 0], neg, {**base, "6": _encode(["8", 0]), "8": concat}),
+    )
+    for clean in ("true", "False", True, "TRUE", 0):
+        text_concat = {
+            "class_type": "Text Concatenate",
+            "inputs": {
+                "text_b": " b ",
+                "text_a": "　a",
+                "text_aa": "x",
+                "text_c": "",
+                "clean_whitespace": clean,
+            },
+        }
+        add(
+            f"text-concatenate-{json.dumps(clean)}",
+            _graph(["6", 0], neg, {**base, "6": _encode(["8", 0]), "8": text_concat}),
+        )
+    for strip in (True, False, 1):
+        multiline = {
+            "class_type": "StringConstantMultiline",
+            "inputs": {"string": "\n a\nb \n", "strip_newlines": strip},
+        }
+        add(
+            f"strip-newlines-{json.dumps(strip)}",
+            _graph(["6", 0], neg, {**base, "6": _encode(["8", 0]), "8": multiline}),
+        )
+    for count, as_list in (
+        (3, False),
+        (1, False),
+        (0, False),
+        (1001, False),
+        (2, True),
+        (2.0, False),
+        (True, False),
+    ):
+        join = {
+            "class_type": "JoinStringMulti",
+            "inputs": {
+                "string_1": "",
+                "string_2": "b",
+                "string_3": "",
+                "string_4": "d",
+                "inputcount": count,
+                "delimiter": " | ",
+                "return_list": as_list,
+            },
+        }
+        add(
+            f"join-multi-{json.dumps(count)}-{json.dumps(as_list)}",
+            _graph(["6", 0], neg, {**base, "6": _encode(["8", 0]), "8": join}),
+        )
+    manager = {
+        "class_type": "PromptManager",
+        "inputs": {
+            "text": "main",
+            "prepend_text": " before ",
+            "append_text": "",
+            "clip": ["4", 1],
+        },
+    }
+    add("prompt-manager", _graph(["8", 0], neg, {**base, "8": manager}))
+    add(
+        "prompt-manager-null-prepend",
+        _graph(
+            ["8", 0],
+            neg,
+            {
+                **base,
+                "8": {**manager, "inputs": {**manager["inputs"], "prepend_text": None}},
+            },
+        ),
+    )
+    for name, slot in (
+        ("PromptManagerV2", 0),
+        ("PromptManagerV2", 1),
+        ("PromptManagerPositive", 0),
+        ("PromptManagerNegative", 0),
+    ):
+        historical = {
+            "class_type": name,
+            "inputs": {
+                "text": " main ",
+                "negative_text": " neg ",
+                "prepend_text": "lead,",
+                "append_text": None,
+            },
+        }
+        add(
+            f"historical-{name}-{slot}",
+            _graph(["8", slot], neg, {**base, "8": historical}),
+        )
+    pair_graph = _graph(["8", 0], ["8", 1], {**base, "8": _pair()})
+    add("pair-graph", pair_graph)
+    add("pair-execution", pair_graph, comfyassets_prompt_pairs=_execution("8"))
+    add(
+        "pair-execution-other-node",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("99"),
+    )
+    add(
+        "pair-execution-mismatch",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("8", text="other"),
+    )
+    add(
+        "pair-execution-negative-changed",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("8", negative_effective_text="x"),
+    )
+    add(
+        "pair-execution-version-true",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("8").replace(
+            '"version": 1', '"version": true'
+        ),
+    )
+    add(
+        "pair-execution-version-float",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("8").replace(
+            '"version": 1', '"version": 1.0'
+        ),
+    )
+    add(
+        "pair-execution-truncated",
+        pair_graph,
+        comfyassets_prompt_pairs=_execution("8").replace(
+            '"version": 1', '"version": 1, "truncated": []'
+        ),
+    )
+    add("pair-execution-bad-json", pair_graph, comfyassets_prompt_pairs="{nope")
+    two = json.loads(_execution("8"))
+    two["nodes"]["8"]["records"].append(
+        dict(two["nodes"]["8"]["records"][0], positive_text="other")
+    )
+    add(
+        "pair-execution-two-records",
+        pair_graph,
+        comfyassets_prompt_pairs=json.dumps(two),
+    )
+    linked_pair = _graph(
+        ["8", 0],
+        ["8", 1],
+        {
+            **base,
+            "8": {**_pair(), "inputs": {**_pair()["inputs"], "text": ["9", 0]}},
+            "9": {"class_type": "PromptSearchList", "inputs": {}},
+        },
+    )
+    add(
+        "pair-execution-runtime-input",
+        linked_pair,
+        comfyassets_prompt_pairs=_execution("8"),
+    )
+    add(
+        "pair-execution-runtime-wrong-slot",
+        _graph(
+            ["8", 0],
+            ["8", 1],
+            {
+                **base,
+                "8": {**_pair(), "inputs": {**_pair()["inputs"], "text": ["9", 2]}},
+                "9": {"class_type": "PromptManagerText", "inputs": {"text": "x"}},
+            },
+        ),
+        comfyassets_prompt_pairs=_execution("8"),
+    )
+    guided = {
+        "class_type": "SamplerCustomAdvanced",
+        "inputs": {
+            "noise": ["20", 0],
+            "guider": ["21", 0],
+            "sampler": ["22", 0],
+            "sigmas": ["23", 0],
+            "latent_image": ["5", 0],
+        },
+    }
+    add(
+        "custom-cfg",
+        _graph(
+            None,
+            None,
+            {
+                **base,
+                "21": {
+                    "class_type": "CFGGuider",
+                    "inputs": {
+                        "positive": ["6", 0],
+                        "negative": ["7", 0],
+                        "model": ["4", 0],
+                        "cfg": 5,
+                    },
+                },
+            },
+            sampler=guided,
+        ),
+    )
+    add(
+        "custom-basic",
+        _graph(
+            None,
+            None,
+            {
+                **base,
+                "21": {
+                    "class_type": "BasicGuider",
+                    "inputs": {"conditioning": ["6", 0], "model": ["4", 0]},
+                },
+            },
+            sampler=guided,
+        ),
+    )
+    add(
+        "custom-reroute-guider",
+        _graph(
+            None,
+            None,
+            {
+                **base,
+                "21": {"class_type": "Reroute", "inputs": {"value": ["24", 0]}},
+                "24": {
+                    "class_type": "BasicGuider",
+                    "inputs": {"conditioning": ["6", 0]},
+                },
+            },
+            sampler=guided,
+        ),
+    )
+    add(
+        "custom-unknown-guider",
+        _graph(
+            None,
+            None,
+            {
+                **base,
+                "21": {"class_type": "DualCFGGuider", "inputs": {"cond1": ["6", 0]}},
+            },
+            sampler=guided,
+        ),
+    )
+    add(
+        "latent-stage",
+        _graph(
+            ["6", 0],
+            neg,
+            {
+                **base,
+                "5": {"class_type": "LatentUpscale", "inputs": {"samples": ["30", 0]}},
+                "30": {
+                    "class_type": "KSamplerPreview",
+                    "inputs": {"model": ["4", 0], "positive": ["6", 0]},
+                },
+            },
+        ),
+    )
+    add(
+        "latent-encode",
+        _graph(
+            ["6", 0],
+            neg,
+            {
+                **base,
+                "5": {
+                    "class_type": "VAEEncode",
+                    "inputs": {"pixels": ["31", 0], "vae": ["4", 2]},
+                },
+                "31": {"class_type": "LoadImage", "inputs": {"image": "x.png"}},
+            },
+        ),
+    )
+    add(
+        "latent-cycle",
+        _graph(
+            ["6", 0],
+            neg,
+            {
+                **base,
+                "5": {"class_type": "LatentUpscale", "inputs": {"samples": ["3", 0]}},
+            },
+        ),
+    )
+    for override in ("", "wild", ["6", 0]):
+        detail = {
+            "class_type": "KSampler",
+            "inputs": {
+                "positive": ["6", 0],
+                "negative": neg,
+                "latent_image": ["5", 0],
+                "wildcard": override,
+            },
+        }
+        add(
+            f"override-ignored-{json.dumps(override)}",
+            _graph(None, None, base, sampler=detail),
+        )
+    chain, end = _chain(70)
+    add("depth-limit", _graph([end, 0], neg, {**base, **chain}))
+    chain, end = _chain(61)
+    add("depth-near", _graph([end, 0], neg, {**base, **chain}))
+    tree, top = _combine_tree(11)
+    add("work-limit-visits", _graph([top, 0], neg, {**base, **tree}))
+    tree, top = _combine_tree(9)
+    add("diamond-memo", _graph([top, 0], [top, 0], {**base, **tree}))
+    add("text-limit", _graph(["6", 0], neg, {**base, "6": _encode("x" * 100_001)}))
+    add(
+        "text-at-limit",
+        _graph(["6", 0], neg, {**base, "6": _encode("\U0001f600" * 100_000)}),
+    )
+    big = {
+        f"s{index}": {
+            "class_type": "PrimitiveString",
+            "inputs": {"value": "y" * 99_000},
+        }
+        for index in range(20)
+    }
+    joined = {
+        "class_type": "JoinStringMulti",
+        "inputs": {
+            "string_1": ["s0", 0],
+            "inputcount": 20,
+            "delimiter": "",
+            "return_list": False,
+        },
+    }
+    joined["inputs"].update(
+        {f"string_{index + 1}": [f"s{index}", 0] for index in range(1, 20)}
+    )
+    add(
+        "join-over-length",
+        _graph(["6", 0], neg, {**base, **big, "6": _encode(["8", 0]), "8": joined}),
+    )
+    concats = {
+        f"k{index}": {
+            "class_type": "StringConcatenate",
+            "inputs": {"string_a": "z" * 90_000, "string_b": "", "delimiter": ""},
+        }
+        for index in range(20)
+    }
+    combine = {f"q{index}": _encode([f"k{index}", 0]) for index in range(20)}
+    add("built-chars", _graph(["q0", 0], ["q1", 0], {**base, **concats, **combine}))
+    ceiling = {
+        str(index): {"class_type": "Note", "inputs": {}} for index in range(100, 20_102)
+    }
+    add("graph-ceiling", _graph(["6", 0], neg, {**base, **ceiling}))
+    workflow = {
+        "nodes": [
+            {"id": 6, "type": "PromptManager", "widgets_values": ["own text"]},
+            {"id": 7, "type": "PromptManager", "widgets_values": ["other text"]},
+        ]
+    }
+    overwritten = {**base, "6": _encode("shared"), "7": _encode("shared")}
+    overwritten["6"]["inputs"]["search_text"] = ""
+    add(
+        "overwritten",
+        _graph(["6", 0], ["7", 0], overwritten),
+        workflow=json.dumps(workflow),
+    )
+    nested = {
+        "nodes": [{"id": 1, "type": "sub-a", "widgets_values": []}],
+        "definitions": {
+            "subgraphs": [
+                {
+                    "id": "sub-a",
+                    "nodes": [
+                        {
+                            "id": 6,
+                            "type": "PromptManagerFocused",
+                            "widgets_values": {"text": "a"},
+                        },
+                        {
+                            "id": 7,
+                            "type": "PromptManagerFocused",
+                            "widgets_values": ["b"],
+                        },
+                    ],
+                }
+            ]
+        },
+    }
+    nested_graph = {
+        **base,
+        "1:6": {
+            "class_type": "PromptManager",
+            "inputs": {"text": "same", "clip": ["4", 1]},
+        },
+        "1:7": {"class_type": "PromptManager", "inputs": {"text": "same"}},
+    }
+    add(
+        "overwritten-subgraph",
+        _graph(["1:6", 0], ["1:7", 0], nested_graph),
+        workflow=json.dumps(nested),
+    )
+    add(
+        "overwritten-bad-workflow",
+        _graph(["6", 0], ["7", 0], overwritten),
+        workflow="{bad",
+    )
+    add(
+        "several-samplers",
+        _graph(
+            ["6", 0],
+            neg,
+            {
+                **base,
+                "9": {
+                    "class_type": "KSampler",
+                    "inputs": {"positive": ["6", 0], "negative": neg},
+                },
+            },
+        ),
+    )
+    add(
+        "detailer",
+        _graph(
+            None,
+            None,
+            base,
+            sampler={
+                "class_type": "FaceDetailer",
+                "inputs": {
+                    "image": ["5", 0],
+                    "positive": ["6", 0],
+                    "negative": neg,
+                    "wildcard": "",
+                },
+            },
+        ),
+    )
+    cases["parameters-only"] = {
+        "parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler"
+    }
+    cases["prompt-and-parameters"] = {
+        "prompt": _dump(_graph(["6", 0], neg, base)),
+        "parameters": "ignored",
+    }
+    return cases
+
+
+def _visits_graph(count):
+    """``count`` PrimitiveString links joined under one encoder (``count`` visits)."""
+    first, second = count // 2, count - count // 2
+    nodes = {
+        f"p{index}": {"class_type": "PrimitiveString", "inputs": {"value": "w"}}
+        for index in range(count)
+    }
+    for name, start, size in (("j1", 0, first), ("j2", first, second)):
+        inputs = {"inputcount": max(size, 1), "delimiter": "", "return_list": False}
+        inputs.update(
+            {f"string_{index + 1}": [f"p{start + index}", 0] for index in range(size)}
+        )
+        inputs.setdefault("string_1", "")
+        nodes[name] = {"class_type": "JoinStringMulti", "inputs": inputs}
+    nodes["k"] = {
+        "class_type": "StringConcatenate",
+        "inputs": {"string_a": ["j1", 0], "string_b": ["j2", 0], "delimiter": ""},
+    }
+    nodes["6"] = _encode(["k", 0])
+    nodes["7"] = _encode("blurry")
+    return {"prompt": _dump(_graph(["6", 0], ["7", 0], nodes))}
+
+
+def _depth_graph(length):
+    chain, end = _chain(length)
+    return {
+        "prompt": _dump(_graph([end, 0], ["7", 0], {**chain, "7": _encode("blurry")}))
+    }
+
+
+def _scan_graph(tail):
+    """Whitespace-only Text Concatenate parts: scanned before stripping, never built."""
+    nodes, parts = {}, []
+    for index in range(4):
+        if index < 3:
+            inputs = {
+                f"text_{letter}": " " * 99_000 for letter in "abcdefghijklmnopqrstu"
+            }
+        else:
+            inputs, left = {}, tail
+            for letter in "abcdefghijklmnopqrstu":
+                inputs[f"text_{letter}"] = " " * min(99_000, left)
+                left -= min(99_000, left)
+        inputs["text_z"] = "kept" if index == 0 else ""
+        nodes[f"t{index}"] = {"class_type": "Text Concatenate", "inputs": inputs}
+        parts.append([f"t{index}", 0])
+    nodes["k"] = {
+        "class_type": "JoinStringMulti",
+        "inputs": {
+            "string_1": parts[0],
+            "string_2": parts[1],
+            "string_3": parts[2],
+            "string_4": parts[3],
+            "inputcount": 4,
+            "delimiter": "",
+            "return_list": False,
+        },
+    }
+    nodes["6"] = _encode(["k", 0])
+    nodes["7"] = _encode("blurry")
+    return {"prompt": _dump(_graph(["6", 0], ["7", 0], nodes))}
+
+
+def _threshold(build, low, high):
+    """The largest parameter in [low, high) the server still resolves."""
+
+    def resolved(value):
+        evidence = inspect_prompt_evidence(
+            build(value), None, profile=INSPECTION_PROFILE
+        )
+        return evidence["resolution"]["state"] == "resolved"
+
+    assert resolved(low) and not resolved(high)
+    while high - low > 1:
+        middle = (low + high) // 2
+        if resolved(middle):
+            low = middle
+        else:
+            high = middle
+    return low
+
+
+def boundary_cases():
+    """Each work bound at its edge: the last value that resolves, then the next."""
+    cases = {}
+    for name, build, low, high in (
+        ("visits", _visits_graph, 10, 2000),
+        ("depth", _depth_graph, 1, 80),
+        ("scanned", _scan_graph, 0, 2_000_000),
+    ):
+        edge = _threshold(build, low, high)
+        cases[f"{name}-edge"] = build(edge)
+        cases[f"{name}-over"] = build(edge + 1)
+    long_name = "\U0001f600" * 70
+    cases["named-astral"] = {
+        "prompt": _dump(
+            _graph(
+                ["\U0001f600" * 70, 0],
+                ["7", 0],
+                {
+                    "\U0001f600"
+                    * 70: {"class_type": long_name, "inputs": {"text": "x"}},
+                    "7": _encode("b"),
+                },
+            )
+        )
+    }
+    return cases
+
+
+class _Builder:
+    """Coherent random graphs over the traced vocabulary, sometimes corrupted."""
+
+    def __init__(self, rng):
+        self.rng = rng
+        self.nodes = {}
+        self.records = {}
+        self.counter = 100
+
+    def new_id(self):
+        self.counter += 1
+        return str(self.counter)
+
+    def word(self):
+        rng = self.rng
+        parts = [rng.choice(SPACES), rng.choice(WORDS), rng.choice(SPACES)]
+        if rng.random() < 0.3:
+            parts.append(rng.choice(WORDS))
+        return "".join(parts)
+
+    def string(self, depth):
+        """A string input: a literal, or a link to a string node."""
+        rng = self.rng
+        if depth > 3 or rng.random() < 0.45:
+            return self.word()
+        node_id, choice = self.new_id(), rng.randrange(8)
+        if choice == 0:
+            node = {
+                "class_type": rng.choice(
+                    ["PrimitiveString", "PrimitiveStringMultiline"]
+                ),
+                "inputs": {"value": self.string(depth + 1)},
+            }
+        elif choice == 1:
+            node = {
+                "class_type": "StringConcatenate",
+                "inputs": {
+                    "string_a": self.string(depth + 1),
+                    "string_b": self.string(depth + 1),
+                    "delimiter": rng.choice(["", ", ", " "]),
+                },
+            }
+        elif choice == 2:
+            inputs = {
+                f"text_{letter}": self.string(depth + 1)
+                for letter in rng.sample("abcd", rng.randint(1, 3))
+            }
+            inputs["clean_whitespace"] = rng.choice(["true", "false", True])
+            node = {"class_type": "Text Concatenate", "inputs": inputs}
+        elif choice == 3:
+            node = {
+                "class_type": "StringConstantMultiline",
+                "inputs": {
+                    "string": self.string(depth + 1),
+                    "strip_newlines": rng.choice([True, False]),
+                },
+            }
+        elif choice == 4:
+            count = rng.randint(1, 4)
+            inputs = {
+                f"string_{index}": self.string(depth + 1)
+                for index in range(1, count + 1)
+                if index == 1 or rng.random() < 0.8
+            }
+            inputs.update(
+                {
+                    "inputcount": count,
+                    "delimiter": rng.choice([" ", ","]),
+                    "return_list": rng.random() < 0.1,
+                }
+            )
+            node = {"class_type": "JoinStringMulti", "inputs": inputs}
+        elif choice == 5:
+            node = {
+                "class_type": "Reroute",
+                "inputs": {"value": self.string_link(depth + 1)},
+            }
+        elif choice == 6:
+            node = {
+                "class_type": rng.choice(["StringConstant", "TextInput"]),
+                "inputs": {rng.choice(["string", "text"]): self.string(depth + 1)},
+            }
+        else:
+            node = {
+                "class_type": "PromptManagerText",
+                "inputs": {
+                    "text": self.string(depth + 1),
+                    "prepend_text": self.word(),
+                    "append_text": self.word(),
+                },
+            }
+        self.nodes[node_id] = node
+        return [node_id, 0]
+
+    def string_link(self, depth):
+        value = self.string(depth)
+        if isinstance(value, list):
+            return value
+        node_id = self.new_id()
+        self.nodes[node_id] = {
+            "class_type": "PrimitiveString",
+            "inputs": {"value": value},
+        }
+        return [node_id, 0]
+
+    def conditioning(self, depth):
+        rng = self.rng
+        node_id = self.new_id()
+        choice = rng.randrange(11) if depth < 4 else 0
+        slot = 0
+        if choice == 0:
+            node = {
+                "class_type": "CLIPTextEncode",
+                "inputs": {"text": self.string(depth + 1), "clip": ["4", 1]},
+            }
+        elif choice == 1:
+            text = self.string(depth + 1)
+            node = {
+                "class_type": "CLIPTextEncodeSDXL",
+                "inputs": {
+                    "text_g": text,
+                    "text_l": (
+                        text if rng.random() < 0.6 else rng.choice(["", self.word()])
+                    ),
+                },
+            }
+        elif choice == 2:
+            node = {
+                "class_type": "FluxGuidance",
+                "inputs": {"conditioning": self.conditioning(depth + 1)},
+            }
+        elif choice == 3:
+            node = {
+                "class_type": "ConditioningZeroOut",
+                "inputs": {"conditioning": self.conditioning(depth + 1)},
+            }
+        elif choice == 4:
+            first = self.conditioning(depth + 1)
+            node = {
+                "class_type": "ConditioningCombine",
+                "inputs": {
+                    "conditioning_1": first,
+                    "conditioning_2": (
+                        first if rng.random() < 0.5 else self.conditioning(depth + 1)
+                    ),
+                },
+            }
+        elif choice == 5:
+            condition = rng.choice([True, False, ["4", 0], ["4", 1]])
+            node = {
+                "class_type": "easy ifElse",
+                "inputs": {
+                    "boolean": condition,
+                    "on_true": self.conditioning(depth + 1),
+                    "on_false": self.conditioning(depth + 1),
+                },
+            }
+        elif choice == 6:
+            node = {
+                "class_type": rng.choice(["PromptManager", "PromptManagerFocused"]),
+                "inputs": {
+                    "text": self.string(depth + 1),
+                    "prepend_text": self.word(),
+                    "append_text": self.word(),
+                    "clip": ["4", 1],
+                },
+            }
+        elif choice == 7:
+            node = {
+                "class_type": rng.choice(["PromptManagerV2", "PromptManagerPositive"]),
+                "inputs": {
+                    "text": self.string(depth + 1),
+                    "prepend_text": self.word(),
+                    "negative_text": self.word(),
+                },
+            }
+        elif choice == 8:
+            slot = rng.choice([0, 1])
+            texts = {
+                "text": self.word(),
+                "negative_text": self.word(),
+                "prepend_text": self.word(),
+                "append_text": self.word(),
+            }
+            node = {"class_type": "PromptManagerPair", "inputs": dict(texts)}
+            if rng.random() < 0.6:
+                record = {
+                    **texts,
+                    "positive_text": self.word(),
+                    "negative_effective_text": texts["negative_text"],
+                }
+                record["prepend_text"], record["append_text"] = (
+                    record["prepend_text"].strip(),
+                    record["append_text"].strip(),
+                )
+                if rng.random() < 0.2:
+                    record["text"] = record["text"] + "!"
+                self.records[EXECUTION_KEY] = json.dumps(
+                    {"version": 1, "nodes": {node_id: {"records": [record]}}}
+                )
+        elif choice == 9:
+            node = {
+                "class_type": "Reroute",
+                "inputs": {"value": self.conditioning(depth + 1)},
+            }
+        else:
+            node = {
+                "class_type": rng.choice(["PromptSearchList", "FancyEncoder"]),
+                "inputs": {"text": self.word()},
+            }
+        self.nodes[node_id] = node
+        return [node_id, slot]
+
+    def corrupt(self):
+        rng = self.rng
+        node_id = rng.choice(sorted(self.nodes))
+        node = self.nodes[node_id]
+        links = [
+            key
+            for key, value in node.get("inputs", {}).items()
+            if isinstance(value, list)
+        ]
+        choice = rng.randrange(6)
+        if choice == 0 and links:
+            node["inputs"][rng.choice(links)][1] = rng.choice([0.0, True, 7, -1])
+        elif choice == 1 and links:
+            node["inputs"][rng.choice(links)][0] = rng.choice(["missing", node_id])
+        elif choice == 2:
+            node["class_type"] = rng.choice([None, 3, "Unknown"])
+        elif choice == 3:
+            node["inputs"] = rng.choice([[], {}])
+        elif choice == 4 and links:
+            del node["inputs"][rng.choice(links)]
+        else:
+            node.pop("inputs", None)
+
+
+EXECUTION_KEY = "comfyassets_prompt_pairs"
+
+
+def fuzz_cases(seed, count):
+    rng = random.Random(seed)
+    cases = {}
+    for index in range(count):
+        builder = _Builder(rng)
+        positive = builder.conditioning(0)
+        negative = builder.conditioning(0) if rng.random() < 0.9 else None
+        graph = _graph(positive, negative, builder.nodes)
+        if negative is None:
+            del graph["3"]["inputs"]["negative"]
+        if rng.random() < 0.25:
+            builder.nodes = graph
+            builder.corrupt()
+        records = {"prompt": json.dumps(graph, ensure_ascii=rng.random() < 0.5)}
+        records.update(builder.records)
+        cases[f"fuzz-{seed}-{index}"] = records
+    return cases
+
+
+def single_chain(records):
+    """Whether the server answers ``records`` without choosing among samplers."""
+    roles = {key for key in records if key in ("prompt", "parameters", EXECUTION_KEY)}
+    if "prompt" not in roles:
+        return "parameters" not in roles
+    try:
+        graph = json.loads(records["prompt"])
+    except (ValueError, RecursionError):
+        return True
+    if (
+        not isinstance(graph, dict)
+        or not graph
+        or len(graph) > INSPECTION_PROFILE.node_ceiling
+    ):
+        return True
+    samplers = get_semantics().samplers
+    found = [
+        node["class_type"]
+        for node in graph.values()
+        if isinstance(node, dict)
+        and isinstance(node.get("class_type"), str)
+        and node["class_type"] in samplers
+        and samplers[node["class_type"]]["strategy"]
+        in ("ksampler", "custom-advanced", "detailer-stage")
+    ]
+    return len(found) <= 1 and not any(
+        samplers[name]["strategy"] == "detailer-stage" for name in found
+    )
+
+
+def committed_vectors():
+    """The committed record sets with the server's evidence, in a stable order."""
+    cases = {
+        name: records
+        for name, records in golden_cases().items()
+        if len(json.dumps(records)) <= MAX_VECTOR_CHARS
+    }
+    cases.update(fuzz_cases(*COMMITTED_FUZZ))
+    vectors = []
+    for name, records in cases.items():
+        gap = not single_chain(records)
+        evidence = (
+            None
+            if gap
+            else inspect_prompt_evidence(records, None, profile=INSPECTION_PROFILE)
+        )
+        vectors.append(
+            {"name": name, "records": records, "gap": gap, "evidence": evidence}
+        )
+    return {"version": 1, "vectors": vectors}
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
+    parser.add_argument("--write", action="store_true", help="rewrite the vectors")
+    if parser.parse_args().write:
+        text = json.dumps(committed_vectors(), ensure_ascii=False, sort_keys=True)
+        VECTORS_PATH.write_text(text + "\n", encoding="utf-8", newline="\n")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/test_local_inspect_parity.py b/tests/test_local_inspect_parity.py
index 9fdfdd98..f9a0950e 100644
--- a/tests/test_local_inspect_parity.py
+++ b/tests/test_local_inspect_parity.py
@@ -51,12 +51,17 @@ from utils.prompt_inspector import (
     read_inspection_file,
 )
 
+from utils.prompt_inspector import inspect_prompt_evidence
+from utils.prompt_pair_resolver import INSPECTION_PROFILE
+
 try:
     from tests import inspection_parity as parity
+    from tests import local_resolver_cases as resolver_cases
     from tests.open_handles import assert_closed
     from tests.test_utils_video_metadata import HAVE_FFMPEG, write_video
 except ImportError:  # pragma: no cover - discover -s tests puts tests/ first
     import inspection_parity as parity
+    import local_resolver_cases as resolver_cases
     from open_handles import assert_closed
     from test_utils_video_metadata import HAVE_FFMPEG, write_video
 
@@ -1111,5 +1116,168 @@ class LocalProjectionParityTests(unittest.TestCase):
         self.assertTrue({"parsed", "malformed", "limited"} <= seen)
 
 
+def _server_evidence(records):
+    return inspect_prompt_evidence(records, None, profile=INSPECTION_PROFILE)
+
+
+class LocalResolverParityTests(unittest.TestCase):
+    """``resolveLocalEvidence`` answers as ``inspect_prompt_evidence`` (PR L3 Task 8).
+
+    Python is the oracle: every expected value is the server's own answer on the
+    same record texts. Task 8 ports one sampler's tracing; a record set whose
+    graph has several sampler candidates or a detailer stage, or only A1111
+    ``parameters``, is a gap the port reports until Task 9, and exactly those
+    are gaps (``local_resolver_cases.single_chain`` decides from the server's
+    table).
+    """
+
+    def setUp(self):
+        temporary = tempfile.TemporaryDirectory()
+        self.addCleanup(temporary.cleanup)
+        self.addCleanup(assert_closed, self, temporary.name)
+        self.directory = Path(temporary.name)
+
+    def _compare(self, cases):
+        """Assert each record set equal or a recorded gap; return the server answers."""
+        observed = _run_oracle(
+            self,
+            [
+                {"name": name, "mode": "resolve", "records": records}
+                for name, records in cases.items()
+            ],
+        )
+        answers = {}
+        for name, records in cases.items():
+            with self.subTest(case=name):
+                local = observed[name]
+                self.assertEqual(
+                    local.get("gap", False),
+                    not resolver_cases.single_chain(records),
+                    "a gap is exactly a Task 9 path",
+                )
+                if local.get("gap"):
+                    continue
+                server = _server_evidence(records)
+                answers[name] = server
+                self.assertEqual(
+                    _canonical_bytes(local["evidence"]), _canonical_bytes(server)
+                )
+        return answers
+
+    def test_local_roles_match_execution_and_single_chain_vectors(self):
+        files = {}
+        for name in parity.COMMITTED:
+            files[name] = parity.fixture_path(name)
+        for name in parity.TEST_TIME:
+            path = parity.fixture_path(name, self.directory)
+            parity.write_png(path, parity.build(name))
+            files[name] = path
+        observed = _run_oracle(
+            self,
+            [
+                {"name": name, "mode": "resolve", "path": str(path)}
+                for name, path in files.items()
+            ],
+        )
+        vectors = {
+            vector["fixture"]: vector
+            for vector in json.loads(parity.VECTORS_PATH.read_text(encoding="utf-8"))
+            if vector["profile"] == "inspection"
+        }
+        compared = gaps = 0
+        for name, path in files.items():
+            with self.subTest(fixture=name):
+                local = observed[name]
+                try:
+                    records = read_inspection_file(path).metadata
+                except MetadataReadError:
+                    self.assertEqual(local, {"unreadable": True})
+                    continue
+                self.assertEqual(
+                    local.get("gap", False), not resolver_cases.single_chain(records)
+                )
+                if local.get("gap"):
+                    gaps += 1
+                    continue
+                server = _server_evidence(records)
+                self.assertEqual(
+                    _canonical_bytes(local["evidence"]), _canonical_bytes(server)
+                )
+                # The committed vector agrees with the server read here.
+                expect = vectors[name]["expect"]
+                self.assertEqual(server["resolution"]["state"], expect["state"])
+                self.assertEqual(
+                    server["resolution"]["reason_code"], expect["reason_code"]
+                )
+                compared += 1
+        # f01, f09 (several samplers) and f19 (multistage detailer) wait for Task 9.
+        self.assertGreaterEqual(compared, 20)
+        self.assertGreaterEqual(gaps, 1)
+
+    def test_local_roles_match_golden_record_sets(self):
+        answers = self._compare(resolver_cases.golden_cases())
+        codes = {answer["resolution"]["reason_code"] for answer in answers.values()}
+        self.assertTrue(
+            {
+                "malformed",
+                "unsupported-node",
+                "runtime-value",
+                "composite",
+                "work-limit",
+                "depth-limit",
+                "text-limit",
+                "graph-ceiling",
+                "no-sampler",
+                None,
+            }
+            <= codes
+        )
+        sources = {
+            side["source"]
+            for answer in answers.values()
+            for side in answer["prompts"].values()
+        }
+        self.assertTrue(
+            {"execution", "graph-inferred", "zeroed-conditioning"} <= sources
+        )
+
+    def test_committed_resolver_vectors_are_current(self):
+        """The Node unit test's committed answers are still the server's."""
+        committed = json.loads(resolver_cases.VECTORS_PATH.read_text(encoding="utf-8"))
+        self.assertEqual(
+            committed,
+            json.loads(json.dumps(resolver_cases.committed_vectors())),
+            "regenerate with: python3 -m tests.local_resolver_cases --write",
+        )
+
+    def test_local_roles_match_at_every_work_bound(self):
+        answers = self._compare(resolver_cases.boundary_cases())
+        for name in ("visits", "depth", "scanned"):
+            self.assertEqual(answers[f"{name}-edge"]["resolution"]["state"], "resolved")
+            self.assertIn(
+                answers[f"{name}-over"]["resolution"]["reason_code"],
+                ("work-limit", "depth-limit"),
+            )
+        self.assertEqual(
+            answers["named-astral"]["resolution"]["node"]["class_type"],
+            "\U0001f600" * 64,
+        )
+
+    def test_local_roles_match_fuzzed_record_sets(self):
+        cases = {}
+        for seed in range(4):
+            cases.update(resolver_cases.fuzz_cases(seed, 150))
+        answers = self._compare(cases)
+        states = [answer["resolution"]["state"] for answer in answers.values()]
+        # Coherent graphs reach real results, not only early refusals.
+        self.assertGreater(states.count("resolved"), len(states) // 5)
+        self.assertGreater(states.count("ambiguous"), 0)
+        self.assertGreater(states.count("unresolved"), len(states) // 10)
+        self.assertGreaterEqual(
+            len({answer["resolution"]["reason_code"] for answer in answers.values()}),
+            5,
+        )
+
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/tools/vendor/frontend-coverage-baseline.json b/tools/vendor/frontend-coverage-baseline.json
index 6869e83a..db441041 100644
--- a/tools/vendor/frontend-coverage-baseline.json
+++ b/tools/vendor/frontend-coverage-baseline.json
@@ -181,7 +181,7 @@
   },
   "workspace/file-inspector.mjs": {
     "lines": 96,
-    "branches": 92,
+    "branches": 93,
     "functions": 92,
     "statements": 96
   },
@@ -335,6 +335,18 @@
     "functions": 98,
     "statements": 97
   },
+  "workspace/local-resolver-support.mjs": {
+    "lines": 96,
+    "branches": 80,
+    "functions": 98,
+    "statements": 96
+  },
+  "workspace/local-resolver.mjs": {
+    "lines": 95,
+    "branches": 83,
+    "functions": 98,
+    "statements": 95
+  },
   "workspace/local-session.mjs": {
     "lines": 98,
     "branches": 92,
@@ -377,6 +389,12 @@
     "functions": 98,
     "statements": 98
   },
+  "workspace/py-json.mjs": {
+    "lines": 97,
+    "branches": 91,
+    "functions": 98,
+    "statements": 97
+  },
   "workspace/recorded-run.mjs": {
     "lines": 95,
     "branches": 83,
diff --git a/web/js/workspace/local-resolver-support.mjs b/web/js/workspace/local-resolver-support.mjs
new file mode 100644
index 00000000..b9328b31
--- /dev/null
+++ b/web/js/workspace/local-resolver-support.mjs
@@ -0,0 +1,260 @@
+// Tables, evidence reader, bounds and outcome lines for local-resolver.mjs (#249 local Inspect, PR L3 Task 8):
+// the constants of utils/prompt_pair_resolver.py and utils/inspection_outcomes.py, utils/pair_execution.py
+// `read_pair_execution` and the semantics table check of utils/inspection_semantics.py. No DOM.
+import { PyFloat, PyValueError, isDict, isList, isInt, pyJsonLoads, pyLen, pySlice, pyStrip, pyTruthy, pyEqualsOne, pyStr, pyGet } from './py-json.mjs';
+
+/** A resolution path Task 9 ports (several samplers, a detailer stage, A1111 parameters). */
+export class LocalResolverGap extends Error {
+    constructor(message) {
+        super(message);
+        this.name = 'LocalResolverGap';
+    }
+}
+
+/** The semantics table is unusable: the server's `SemanticsError`. */
+export class SemanticsError extends Error {
+    constructor(message) {
+        super(message);
+        this.name = 'SemanticsError';
+    }
+}
+
+// INSPECTION_PROFILE (prompt_pair_resolver.py 152-166).
+export const PROFILE = Object.freeze({
+    perCandidateVisits: 2000, totalVisits: 20000, maxDepth: 64, maxTextLength: 100000, nodeCeiling: 20000,
+    maxPathEntries: 64 * 20000, maxBuiltChars: 16 * 100000, maxScannedUnits: 8000000,
+});
+export const EXECUTION_KEY = 'comfyassets_prompt_pairs';
+export const ROLE_METADATA_KEYS = new Set(['prompt', 'parameters', EXECUTION_KEY]);
+// pair_execution.py
+export const MAX_EXECUTION_RECORDS = 16, MAX_EXECUTION_NODES = 64, MAX_EXECUTION_TEXT = 100000, MAX_EXECUTION_JSON = 500000;
+export const EXECUTION_FIELDS = ['text', 'negative_text', 'positive_text', 'negative_effective_text', 'prepend_text', 'append_text'];
+
+export const CANDIDATE_STRATEGIES = new Set(['ksampler', 'custom-advanced', 'detailer-stage']);
+export const DETAILER = 'detailer-stage';
+export const GUIDER_ABSENT_REASON = 'Guider has no negative input';
+export const ZEROED_SOURCE = 'zeroed-conditioning';
+export const MAX_BRANCH_CANDIDATES = 32;
+export const RUNTIME_REASON = 'Text is decided at run time';
+export const EMPTY_POSITIVE_REASON = 'Positive prompt is empty';
+export const MULTISTAGE_UNATTRIBUTED_REASON = 'Multistage sampler ancestry is ambiguous';
+export const SEMANTICS_UNAVAILABLE_REASON = 'Inspection node semantics are unavailable';
+export const INCOMPATIBLE_SLOT = 'Output slot has an incompatible type';
+export const OVERWRITTEN_PROMPT_REASON = 'Saved PromptManager text was overwritten by another node';
+export const UNVERIFIABLE_CODES = new Set(['unsupported-node', 'runtime-value']);
+export const MAX_JOIN_INPUTS = 1000;
+export const SAMPLER_LIKE_INPUTS = ['latent_image', 'guider', 'positive', 'negative'];
+export const NO_SAMPLER_NAMES = 3;
+export const CLASS_NAME_LENGTH = 64;
+export const MAX_SUBGRAPH_DEPTH = 8, MAX_WORKFLOW_NODES = 100000;
+
+// inspection_outcomes.py
+export const OUTCOME_NAME_LENGTH = 200;
+export const LIMIT_CODES = ['work-limit', 'depth-limit', 'text-limit', 'graph-ceiling'];
+export const NAMED_LINES = {
+    'unsupported-node': 'Prompt uses a node the inspector does not support',
+    'runtime-value': 'Prompt is chosen at run time',
+    composite: 'Prompt combines several texts',
+};
+export const CODED_LINES = {
+    ...Object.fromEntries(LIMIT_CODES.map(code => [code, 'Prompt exceeds inspection limits.'])),
+    'no-sampler': 'No supported sampler was found.',
+    malformed: 'Prompt metadata in this file is malformed.',
+    'multistage-differs': 'Sampler stages have different prompts.',
+};
+export const UNCODED_LINES = {
+    [EMPTY_POSITIVE_REASON]: 'Positive prompt is empty.',
+    [MULTISTAGE_UNATTRIBUTED_REASON]: 'Several sampler stages were found; their prompts were not compared.',
+    [SEMANTICS_UNAVAILABLE_REASON]: "The inspector's node table is unavailable.",
+    'Media metadata could not be read': 'Metadata in this file could not be read.',
+};
+
+// Output adapters (prompt_pair_resolver.py 44-105): [inputName, kind, {compose, storageInput, comma, strip, default}].
+export const adapter = (inputName, kind, options = {}) => Object.freeze({ inputName, kind, compose: false, storageInput: false, comma: false, strip: false, default: null, ...options });
+export const slotKey = (name, slot) => `${name}\u0000${String(slot)}`;
+export const ADAPTERS = new Map();
+for (const name of ['PromptManager', 'PromptManagerFocused', 'PromptManagerSplit']) {
+    ADAPTERS.set(slotKey(name, 0), adapter('text', 'conditioning', { compose: true }));
+    ADAPTERS.set(slotKey(name, 1), adapter('text', 'string', { compose: true }));
+}
+ADAPTERS.set(slotKey('PromptManagerPair', 0), adapter('text', 'conditioning', { compose: true }));
+ADAPTERS.set(slotKey('PromptManagerPair', 2), adapter('text', 'string', { compose: true }));
+ADAPTERS.set(slotKey('PromptManagerPair', 1), adapter('negative_text', 'conditioning', { storageInput: true }));
+ADAPTERS.set(slotKey('PromptManagerPair', 3), adapter('negative_text', 'string', { storageInput: true }));
+ADAPTERS.set(slotKey('PromptManagerText', 0), adapter('text', 'string', { compose: true }));
+ADAPTERS.set(slotKey('CLIPTextEncode', 0), adapter('text', 'conditioning'));
+for (const name of ['PrimitiveString', 'PrimitiveStringMultiline']) ADAPTERS.set(slotKey(name, 0), adapter('value', 'string'));
+for (const name of ['Text Multiline', 'String Literal', 'ShowText|pysssss']) ADAPTERS.set(slotKey(name, 0), adapter('text', 'string'));
+// Historical PromptManager classes (inspection only).
+export const COMMA = { comma: true }, NEGATIVE = { strip: true, default: '' };
+const historical = [
+    ['PromptManagerV2', 0, 'text', 'conditioning', COMMA], ['PromptManagerV2', 1, 'negative_text', 'conditioning', NEGATIVE],
+    ['PromptManagerV2', 2, 'text', 'string', COMMA], ['PromptManagerV2', 3, 'negative_text', 'string', NEGATIVE],
+    ['PromptManagerV2Text', 0, 'text', 'string', COMMA], ['PromptManagerV2Text', 1, 'negative_text', 'string', NEGATIVE],
+    ['PromptManagerNegative', 0, 'text', 'conditioning', { strip: true }], ['PromptManagerNegative', 1, 'text', 'string', { strip: true }],
+    ['PromptManagerPositiveText', 0, 'text', 'string', COMMA], ['PromptManagerNegativeText', 0, 'text', 'string', COMMA],
+];
+for (const name of ['PromptManagerPositive', 'PromptManagerDetailer']) historical.push([name, 0, 'text', 'conditioning', COMMA], [name, 1, 'text', 'string', COMMA]);
+for (const [name, slot, input, kind, options] of historical) ADAPTERS.set(slotKey(name, slot), adapter(input, kind, options));
+// `known_slots` in execution_record: every adapter slot per class.
+export const ADAPTER_SLOTS = new Map();
+for (const key of ADAPTERS.keys()) {
+    const [name, slot] = key.split('\u0000');
+    if (!ADAPTER_SLOTS.has(name)) ADAPTER_SLOTS.set(name, new Set());
+    ADAPTER_SLOTS.get(name).add(slot);
+}
+
+export class Unresolved extends Error {
+    constructor(message, code = null, node = null) {
+        super(message);
+        this.code = code;
+        this.node = node;
+    }
+}
+export class Diverging extends Error {
+    constructor(key) {
+        super('diverging');
+        this.key = key;
+    }
+}
+
+/** `_link`: a two-item list of (str or int) and a non-negative int, never a bool. */
+export function isLink(value) {
+    if (!isList(value) || value.length !== 2) return false;
+    const [source, slot] = value;
+    return (typeof source === 'string' || isInt(source)) && isInt(slot) && (typeof slot === 'bigint' ? slot >= 0n : slot >= 0);
+}
+export const nodeRef = (nodeId, classType) => ({ id: pySlice(nodeId, CLASS_NAME_LENGTH), class_type: typeof classType === 'string' ? pySlice(classType, CLASS_NAME_LENGTH) : null });
+
+export function result(state, { positive = null, negative = null, samplerId = null, reason = '', candidates = [], reasonCode = null, node = null } = {}) {
+    return { state, positive, negative, sampler_id: samplerId, reason, candidates, reason_code: reasonCode, node };
+}
+
+export class Budget {
+    constructor(total) {
+        this.total = total;
+        this.allowance = total;
+    }
+    reset(allowance) { this.allowance = allowance; }
+    spend() {
+        if (this.total <= 0 || this.allowance <= 0) throw new Unresolved('Resolution visit limit reached', 'work-limit');
+        this.total -= 1;
+        this.allowance -= 1;
+    }
+    charge(cost) {
+        if (cost > this.allowance) throw new Unresolved('Resolution visit limit reached', 'work-limit');
+        this.allowance -= cost;
+    }
+}
+
+/** `read_pair_execution`: one distinct record for a traced node, or null; malformed evidence throws `Unresolved`. */
+export function readPairExecution(metadata, nodeId) {
+    const evidence = message => new Unresolved(message, 'malformed');
+    if (!isDict(metadata) || !metadata.has(EXECUTION_KEY)) return null;
+    let envelope = metadata.get(EXECUTION_KEY);
+    if (typeof envelope === 'string') {
+        if (pyLen(envelope) > MAX_EXECUTION_JSON) throw evidence('Execution evidence exceeds the size limit');
+        try { envelope = pyJsonLoads(envelope); } catch (error) {
+            if (error instanceof PyValueError) throw evidence('Malformed execution evidence JSON');
+            throw error;
+        }
+    }
+    if (!isDict(envelope) || !pyEqualsOne(pyGet(envelope, 'version'))) throw evidence('Unsupported execution evidence format');
+    const nodes = pyGet(envelope, 'nodes');
+    if (pyTruthy(pyGet(envelope, 'truncated')) || !isDict(nodes) || nodes.size > MAX_EXECUTION_NODES) throw evidence('Truncated or malformed execution evidence');
+    if (!nodes.has(nodeId)) return null;
+    const node = nodes.get(nodeId);
+    if (!isDict(node) || pyTruthy(pyGet(node, 'truncated'))) throw evidence('Truncated or malformed node execution evidence');
+    const records = pyGet(node, 'records');
+    if (!isList(records) || !records.length || records.length > MAX_EXECUTION_RECORDS) throw evidence('Malformed node execution records');
+    const unique = new Map();
+    for (const record of records) {
+        if (!isDict(record) || EXECUTION_FIELDS.some(key => typeof pyGet(record, key) !== 'string' || pyLen(record.get(key)) > MAX_EXECUTION_TEXT)) {
+            throw evidence('Malformed execution text values');
+        }
+        const clean = Object.fromEntries(EXECUTION_FIELDS.map(key => [key, record.get(key)]));
+        if (clean.negative_effective_text !== clean.negative_text) throw evidence('Negative execution text must be unchanged');
+        unique.set(JSON.stringify(EXECUTION_FIELDS.map(key => clean[key])), clean);
+    }
+    if (unique.size !== 1) throw evidence('Multiple distinct executions have no image anchor');
+    return [...unique.values()][0];
+}
+
+/**
+ * The validated semantics table (utils/inspection_semantics.py), from the parsed JSON document. Throws
+ * `SemanticsError` for any shape the server rejects; the caller then answers "semantics unavailable".
+ */
+export function compileSemantics(doc) {
+    const fail = message => { throw new SemanticsError(message); };
+    const plain = value => value !== null && typeof value === 'object' && !Array.isArray(value);
+    if (!plain(doc) || doc.schema !== 1) fail('unsupported semantics table');
+    const owners = new Map();
+    const claim = (name, category) => {
+        if (owners.has(name) && owners.get(name) !== category) fail(`duplicate class ${name}`);
+        owners.set(name, category);
+    };
+    const byClass = category => {
+        if (!plain(doc[category])) fail(`category ${category} must be an object`);
+        const table = new Map();
+        for (const [name, entry] of Object.entries(doc[category])) {
+            if (!plain(entry) || typeof entry.strategy !== 'string') fail(`${category}[${name}]`);
+            claim(name, category);
+            table.set(name, entry);
+        }
+        return table;
+    };
+    const bySlot = category => {
+        if (!Array.isArray(doc[category])) fail(`category ${category} must be a list`);
+        const table = new Map();
+        for (const row of doc[category]) {
+            if (!plain(row) || typeof row.class !== 'string' || !Number.isInteger(row.slot) || row.slot < 0 || row.slot > 255) fail(`${category} row`);
+            const key = slotKey(row.class, row.slot);
+            if (table.has(key)) fail(`${category}: duplicate output key`);
+            claim(row.class, category);
+            const { class: _name, slot: _slot, ...entry } = row;
+            table.set(key, entry);
+        }
+        return table;
+    };
+    const bySet = category => {
+        if (!Array.isArray(doc[category])) fail(`category ${category} must be a list`);
+        const set = new Set();
+        for (const name of doc[category]) {
+            if (typeof name !== 'string' || set.has(name)) fail(`${category}: duplicate class`);
+            claim(name, category);
+            set.add(name);
+        }
+        return set;
+    };
+    const samplers = byClass('samplers'), guiders = byClass('guiders'), selectors = byClass('selectors');
+    const composites = byClass('composites'), savers = byClass('savers');
+    const conditioning = bySlot('conditioning'), encoders = bySlot('encoders'), strings = bySlot('strings');
+    const runtime = bySet('runtime'), nonFileOutputs = bySet('non_file_outputs');
+    const stageInputs = doc.stage_inputs;
+    if (!plain(stageInputs) || !Array.isArray(stageInputs.shaped) || !Array.isArray(stageInputs.with_model)) fail('stage_inputs');
+    return Object.freeze({
+        samplers, guiders, selectors, composites, savers, conditioning, encoders, strings, runtime, nonFileOutputs,
+        stageInputs: { shaped: [...stageInputs.shaped], withModel: [...stageInputs.with_model] }, allClasses: new Set(owners.keys()),
+    });
+}
+
+/** `outcome_message`: one line for an unresolved outcome, or null to keep the status copy. */
+export function outcomeMessage(resolution) {
+    if (resolution?.state !== 'unresolved') return null;
+    const code = typeof resolution.reason_code === 'string' ? resolution.reason_code : null;
+    if (Object.hasOwn(NAMED_LINES, code)) {
+        const node = resolution.node, raw = node !== null && typeof node === 'object' ? node.class_type : null;
+        const name = typeof raw === 'string' && raw ? pySlice(raw, OUTCOME_NAME_LENGTH) : null;
+        return name ? `${NAMED_LINES[code]} (${name}).` : `${NAMED_LINES[code]}.`;
+    }
+    if (code === null) return Object.hasOwn(UNCODED_LINES, resolution.reason) ? UNCODED_LINES[resolution.reason] : null;
+    return Object.hasOwn(CODED_LINES, code) ? CODED_LINES[code] : null;
+}
+
+export const sideOf = (status, text = null, source = null) => ({ status, text, source });
+export function explained(prompts, resolution) {
+    const message = outcomeMessage(resolution);
+    if (message === null) return prompts;
+    return Object.fromEntries(Object.entries(prompts).map(([role, side]) => [role, side.status === 'unresolved' && !Object.hasOwn(side, 'message') ? { ...side, message } : side]));
+}
+export const EMPTY_POSITIVE = outcomeMessage({ state: 'unresolved', reason: EMPTY_POSITIVE_REASON });
diff --git a/web/js/workspace/local-resolver.mjs b/web/js/workspace/local-resolver.mjs
new file mode 100644
index 00000000..bde4db2f
--- /dev/null
+++ b/web/js/workspace/local-resolver.mjs
@@ -0,0 +1,776 @@
+// The server's inspection resolver in this browser (#249 local Inspect, PR L3 Task 8, decision LI-1): a port of
+// utils/prompt_inspector.py `inspect_prompt_evidence` with utils/prompt_pair_resolver.py (INSPECTION_PROFILE) and
+// utils/pair_execution.py `read_pair_execution`, driven by web/js/inspection-semantics.json. Python is the oracle:
+// tests/test_local_inspect_parity.py compares every answer with the server's on the same records. Values follow
+// Python's model (py-json.mjs): dict order, int versus float, code-point lengths, `str.strip()`.
+//
+// Task 8 ports execution evidence and graph tracing for one sampler. Candidate selection among several samplers,
+// detailer stages and A1111 `parameters` are Task 9; until then they raise `LocalResolverGap`. No DOM.
+import { PyValueError, isDict, isList, isInt, pyJsonLoads, pyLen, pySlice, pyStrip, pyStr, pyGet } from './py-json.mjs';
+import {
+    ADAPTERS,
+    ADAPTER_SLOTS,
+    Budget,
+    CANDIDATE_STRATEGIES,
+    CLASS_NAME_LENGTH,
+    DETAILER,
+    Diverging,
+    EMPTY_POSITIVE,
+    EMPTY_POSITIVE_REASON,
+    GUIDER_ABSENT_REASON,
+    INCOMPATIBLE_SLOT,
+    LocalResolverGap,
+    MAX_BRANCH_CANDIDATES,
+    MAX_JOIN_INPUTS,
+    MAX_SUBGRAPH_DEPTH,
+    MAX_WORKFLOW_NODES,
+    MULTISTAGE_UNATTRIBUTED_REASON,
+    NO_SAMPLER_NAMES,
+    OVERWRITTEN_PROMPT_REASON,
+    PROFILE,
+    ROLE_METADATA_KEYS,
+    RUNTIME_REASON,
+    SAMPLER_LIKE_INPUTS,
+    SEMANTICS_UNAVAILABLE_REASON,
+    UNVERIFIABLE_CODES,
+    Unresolved,
+    ZEROED_SOURCE,
+    compileSemantics,
+    explained,
+    isLink,
+    nodeRef,
+    readPairExecution,
+    result,
+    sideOf,
+    slotKey,
+} from './local-resolver-support.mjs';
+
+export { LocalResolverGap, SemanticsError, compileSemantics, readPairExecution, outcomeMessage, isLink } from './local-resolver-support.mjs';
+
+class GraphResolver {
+    constructor(graph, metadata, semantics, overwritten) {
+        this.graph = graph;
+        this.overwritten = overwritten;
+        this.perCandidateVisits = PROFILE.perCandidateVisits;
+        this.budget = new Budget(PROFILE.totalVisits);
+        this.budget.reset(PROFILE.perCandidateVisits);
+        this.pathEntries = PROFILE.maxPathEntries;
+        this.builtChars = PROFILE.maxBuiltChars;
+        this.scanned = PROFILE.maxScannedUnits;
+        this.checked = new Map();
+        this.costs = new Map();
+        this.heights = new Map();
+        this.deepest = 0;
+        this.maxDepth = PROFILE.maxDepth;
+        this.maxTextLength = PROFILE.maxTextLength;
+        this.memo = new Map();
+        this.active = new Set();
+        this.metadata = metadata ?? new Map();
+        this.textSources = new Map();
+        this.choices = new Map();
+        this.tainted = false;
+        this.latentWalks = new Map();
+        this.latentCharged = new Set();
+        this.semantics = semantics;
+        this.samplerClasses = new Set([...semantics.samplers].filter(([, entry]) => CANDIDATE_STRATEGIES.has(entry.strategy)).map(([name]) => name));
+        this.stageClasses = new Set(semantics.samplers.keys());
+    }
+
+    node(nodeId) {
+        if (!this.checked.has(nodeId)) {
+            try {
+                this.checked.set(nodeId, this.checkedNode(nodeId));
+            } catch (error) {
+                if (!(error instanceof Unresolved) || error.code === 'work-limit') throw error;
+                this.checked.set(nodeId, error);
+            }
+        }
+        const checked = this.checked.get(nodeId);
+        if (checked instanceof Unresolved) throw new Unresolved(checked.message, checked.code, checked.node);
+        return checked;
+    }
+    checkedNode(nodeId) {
+        const node = pyGet(this.graph, nodeId);
+        if (!isDict(node) || !isDict(pyGet(node, 'inputs'))) throw new Unresolved('Missing or malformed graph node', 'malformed');
+        const inputs = node.get('inputs');
+        this.scan(inputs.size);
+        return [pyStr(pyGet(node, 'class_type', '')), inputs];
+    }
+    scan(units) {
+        if (units > this.scanned) {
+            this.scanned = -1;
+            throw new Unresolved('Resolution work limit reached', 'work-limit');
+        }
+        this.scanned -= units;
+    }
+    unsupported(message, nodeId) { return this.named(message, 'unsupported-node', nodeId); }
+    named(message, code, nodeId) {
+        const node = pyGet(this.graph, nodeId);
+        const classType = isDict(node) ? pyGet(node, 'class_type') : null;
+        return new Unresolved(message, code, nodeRef(nodeId, classType));
+    }
+    bounded(text) {
+        if (pyLen(text) > this.maxTextLength) throw new Unresolved('Resolved text exceeds the length limit', 'text-limit');
+        return text;
+    }
+    built(text) {
+        this.builtChars -= pyLen(text);
+        if (this.builtChars < 0) throw new Unresolved('Resolution work limit reached', 'work-limit');
+        return text;
+    }
+
+    /** `text`: [text, path, storageText] for a string value or a typed link. */
+    text(value, kind, depth = 0) {
+        this.deepest = Math.max(this.deepest, depth);
+        if (depth >= this.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit');
+        if (typeof value === 'string' && kind === 'string') return [this.bounded(value), [], value];
+        if (!isLink(value)) throw new Unresolved('Expected a typed graph link or text input', 'malformed');
+        const nodeId = String(value[0]), slot = value[1];
+        const key = `${slotKey(nodeId, slot)}\u0000${kind}`;
+        if (this.active.has(key)) throw new Unresolved('Cyclic prompt graph', 'malformed');
+        if (this.memo.has(key)) {
+            const height = this.heights.get(key);
+            if (depth + height >= this.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit');
+            this.budget.charge(this.costs.get(key));
+            this.deepest = Math.max(this.deepest, depth + height);
+            return this.memo.get(key);
+        }
+        const allowance = this.budget.allowance, outerDeepest = this.deepest, outerTainted = this.tainted;
+        this.tainted = false;
+        this.deepest = depth;
+        try {
+            this.budget.spend();
+            const [name, inputs] = this.node(nodeId);
+            this.scan(inputs.size);
+            if (this.overwritten.has(nodeId)) throw new Unresolved(OVERWRITTEN_PROMPT_REASON, 'malformed');
+            this.active.add(key);
+            let text, path, storageText;
+            const adapted = ADAPTERS.get(slotKey(name, slot));
+            if (name === 'Reroute' && slot === 0) {
+                const keys = ['value', 'input', 'in'].filter(item => inputs.has(item));
+                if (keys.length !== 1) throw new Unresolved('Reroute input is not uniquely identifiable', 'malformed');
+                [text, path, storageText] = this.text(inputs.get(keys[0]), kind, depth + 1);
+                this.inheritSource(nodeId, slot, [path]);
+            } else if (adapted) {
+                if (adapted.kind !== kind) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
+                const evidence = name === 'PromptManagerPair' ? this.executionRecord(nodeId, inputs) : null;
+                if (evidence !== null) {
+                    text = evidence[adapted.inputName === 'text' ? 'positive_text' : 'negative_effective_text'];
+                    storageText = evidence[adapted.inputName];
+                    path = [];
+                    this.textSources.set(slotKey(nodeId, slot), 'execution');
+                } else if (adapted.comma || adapted.strip) {
+                    [text, path, storageText] = this.historical(adapted, inputs, depth);
+                } else {
+                    [text, path, storageText] = this.text(pyGet(inputs, adapted.inputName), 'string', depth + 1);
+                    if (adapted.compose || adapted.storageInput) storageText = text;
+                    if (adapted.compose) {
+                        const [before, beforePath] = this.text(pyGet(inputs, 'prepend_text', ''), 'string', depth + 1);
+                        const [after, afterPath] = this.text(pyGet(inputs, 'append_text', ''), 'string', depth + 1);
+                        this.scan(pyLen(before) + pyLen(after) + beforePath.length + path.length + afterPath.length);
+                        text = this.built(this.bounded([pyStrip(before), text, pyStrip(after)].filter(part => part).join(' ')));
+                        path = [...beforePath, ...path, ...afterPath];
+                    }
+                }
+            } else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && kind === 'string') {
+                [text, path] = this.concatenate(name, inputs, depth);
+                storageText = text;
+            } else if (this.follows(name, slot, kind)) {
+                [text, path, storageText] = this.semantic(nodeId, name, slot, kind, inputs, depth);
+            } else {
+                throw this.unsupported('Unsupported node semantics or output slot', nodeId);
+            }
+            this.scan(path.length + 1);
+            path = [{ node_id: nodeId, output_slot: slot }, ...path];
+            const pathLimit = this.maxDepth * Math.max(1, this.perCandidateVisits);
+            this.pathEntries -= path.length;
+            if (path.length > pathLimit || this.pathEntries < 0) throw new Unresolved('Provenance path limit reached', 'work-limit');
+            const traced = [text, path, storageText];
+            if (!this.tainted) {
+                this.memo.set(key, traced);
+                this.costs.set(key, allowance - this.budget.allowance);
+                this.heights.set(key, this.deepest - depth);
+            }
+            return traced;
+        } finally {
+            this.deepest = Math.max(outerDeepest, this.deepest);
+            this.tainted = outerTainted || this.tainted;
+            this.active.delete(key);
+        }
+    }
+
+    /** `StringConcatenate` / `Text Concatenate` (the `text` branch). */
+    concatenate(name, inputs, depth) {
+        let keys, delimiter, clean;
+        if (name === 'StringConcatenate') {
+            keys = ['string_a', 'string_b'];
+            delimiter = pyGet(inputs, 'delimiter', '');
+            clean = false;
+        } else {
+            keys = [...inputs.keys()].filter(item => /^text_[a-z]$/.test(item)).sort();
+            delimiter = pyGet(inputs, 'delimiter', ' ');
+            clean = pyStr(pyGet(inputs, 'clean_whitespace', 'true')).toLowerCase() === 'true';
+        }
+        if (!keys.length || typeof delimiter !== 'string') throw new Unresolved('Malformed concatenation', 'malformed');
+        const parts = [], path = [];
+        let size = 0;
+        for (const inputName of keys) {
+            let [part, followed] = this.text(pyGet(inputs, inputName, ''), 'string', depth + 1);
+            this.scan(pyLen(part) + followed.length);
+            if (clean) part = pyStrip(part);
+            path.push(...followed);
+            if (part || name === 'StringConcatenate') {
+                size += pyLen(part) + (parts.length ? pyLen(delimiter) : 0);
+                if (size > this.maxTextLength) throw new Unresolved('Resolved text exceeds the length limit', 'text-limit');
+                parts.push(part);
+            }
+        }
+        return [this.built(parts.join(delimiter)), path];
+    }
+
+    /** `prompt_manager_*.py` at 07a5af3: strip, then join with ", ". */
+    historical(adapted, inputs, depth) {
+        let [text, path] = this.text(pyGet(inputs, adapted.inputName, adapted.default), 'string', depth + 1);
+        this.scan(pyLen(text));
+        text = pyStrip(text);
+        const storageText = text;
+        if (adapted.comma) {
+            let [before, beforePath] = this.text(pyGet(inputs, 'prepend_text') ?? '', 'string', depth + 1);
+            let [after, afterPath] = this.text(pyGet(inputs, 'append_text') ?? '', 'string', depth + 1);
+            this.scan(pyLen(before) + pyLen(after) + beforePath.length + afterPath.length);
+            before = pyStrip(before); after = pyStrip(after);
+            if (before) text = `${before}${text && !before.endsWith(',') ? ', ' : ''}${text}`;
+            if (after) text = `${text}${text && !text.endsWith(',') ? ', ' : ''}${after}`;
+            text = this.built(this.bounded(text));
+            path = [...beforePath, ...path, ...afterPath];
+        }
+        return [text, path, storageText];
+    }
+
+    follows(name, slot, kind) {
+        const semantics = this.semantics, key = slotKey(name, slot);
+        if (semantics.runtime.has(name)) return true;
+        if (semantics.encoders.has(key) || semantics.strings.has(key)) return true;
+        if (slot === 0 && semantics.selectors.has(name)) return true;
+        return kind === 'conditioning' && (semantics.conditioning.has(key) || (slot === 0 && semantics.composites.has(name)));
+    }
+
+    semantic(nodeId, name, slot, kind, inputs, depth) {
+        const semantics = this.semantics, key = slotKey(name, slot);
+        if (semantics.runtime.has(name)) throw this.named(RUNTIME_REASON, 'runtime-value', nodeId);
+        for (const [table, expected, build] of [[semantics.encoders, 'conditioning', 'encoded'], [semantics.strings, 'string', 'stringed']]) {
+            const listed = table.get(key);
+            if (listed !== undefined) {
+                if (kind !== expected) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
+                return this[build](nodeId, listed, inputs, depth);
+            }
+        }
+        const entry = kind === 'conditioning' ? semantics.conditioning.get(key) : undefined;
+        if (entry !== undefined && entry.strategy === 'zeroed') {
+            this.textSources.set(slotKey(nodeId, slot), ZEROED_SOURCE);
+            return ['', [], ''];
+        }
+        if (entry !== undefined) {
+            const traced = this.text(pyGet(inputs, entry.input), kind, depth + 1);
+            this.inheritSource(nodeId, slot, [traced[1]]);
+            return traced;
+        }
+        if (semantics.selectors.has(name)) return this.select(nodeId, semantics.selectors.get(name), inputs, kind, depth);
+        const parts = semantics.composites.get(name).inputs.map(inputName => this.text(pyGet(inputs, inputName), kind, depth + 1));
+        if (new Set(parts.map(part => part[0])).size !== 1) throw this.named('Combined conditioning has different texts', 'composite', nodeId);
+        return this.merged(nodeId, slot, parts);
+    }
+
+    select(nodeId, entry, inputs, kind, depth) {
+        const condition = pyGet(inputs, entry.condition), branches = entry.branches;
+        let choice;
+        if (typeof condition === 'boolean') choice = condition;
+        else if (!isLink(condition)) throw new Unresolved('Malformed selector condition', 'malformed');
+        else if (this.choices.has(slotKey(String(condition[0]), condition[1]))) {
+            choice = this.choices.get(slotKey(String(condition[0]), condition[1]));
+            this.tainted = true;
+        } else choice = null;
+        if (choice !== null) {
+            const traced = this.text(pyGet(inputs, branches[choice ? 'true' : 'false']), kind, depth + 1);
+            this.inheritSource(nodeId, 0, [traced[1]]);
+            return traced;
+        }
+        const parts = ['true', 'false'].map(label => this.text(pyGet(inputs, branches[label]), kind, depth + 1));
+        if (parts[0][0] !== parts[1][0]) throw new Diverging(slotKey(String(condition[0]), condition[1]));
+        return this.merged(nodeId, 0, parts);
+    }
+
+    merged(nodeId, slot, parts) {
+        const traced = this.joinedPaths(parts, parts);
+        this.inheritSource(nodeId, slot, parts.map(part => part[1]));
+        return traced;
+    }
+
+    joinedPaths(chosen, parts) {
+        const text = chosen[0][0];
+        const storages = new Set(chosen.map(part => part[2]));
+        const storageText = storages.size === 1 ? chosen[0][2] : text;
+        const paths = parts.map(part => part[1]);
+        this.scan(paths.reduce((sum, path) => sum + path.length, 0));
+        const merged = [], seen = new Set();
+        for (const path of paths) {
+            for (const step of path) {
+                const identity = slotKey(step.node_id, step.output_slot);
+                if (!seen.has(identity)) { seen.add(identity); merged.push(step); }
+            }
+        }
+        return [text, merged, storageText];
+    }
+
+    encoded(nodeId, entry, inputs, depth) {
+        const names = entry.inputs;
+        if (entry.strategy === 'single') return this.text(pyGet(inputs, names[0]), 'string', depth + 1);
+        if (entry.strategy === 'flag-parts') return this.flagged(nodeId, entry, inputs, depth);
+        if (entry.strategy !== 'parts-equal') throw this.unsupported('Unsupported encoder strategy', nodeId);
+        const parts = names.map(name => this.text(pyGet(inputs, name), 'string', depth + 1));
+        this.scan(parts.reduce((sum, part) => sum + pyLen(part[0]), 0));
+        if (new Set(parts.map(part => part[0])).size === 1) return this.joinedPaths(parts, parts);
+        const filled = parts.filter(part => part[0] !== '');
+        if (filled.length === 1) return this.joinedPaths(filled, parts);
+        throw this.named('Encoder parts have different texts', 'composite', nodeId);
+    }
+
+    flagged(nodeId, entry, inputs, depth) {
+        const names = entry.inputs;
+        if (!this.setting(nodeId, inputs, entry.params.flag, 'bool')) return this.text(pyGet(inputs, names[0]), 'string', depth + 1);
+        const parts = names.map(name => this.text(pyGet(inputs, name), 'string', depth + 1));
+        this.scan(parts.reduce((sum, part) => sum + pyLen(part[0]), 0));
+        if (new Set(parts.map(part => part[0])).size === 1) return this.joinedPaths(parts, parts);
+        throw this.named(RUNTIME_REASON, 'runtime-value', nodeId);
+    }
+
+    stringed(nodeId, entry, inputs, depth) {
+        const strategy = entry.strategy, source = entry.inputs[0];
+        if (strategy === 'literal') return this.text(pyGet(inputs, source), 'string', depth + 1);
+        if (strategy === 'strip-newlines') {
+            const flag = this.setting(nodeId, inputs, entry.params.flag, 'bool');
+            const traced = this.text(pyGet(inputs, source), 'string', depth + 1);
+            if (!flag) return traced;
+            this.scan(pyLen(traced[0]));
+            const text = this.built(this.bounded(pyStrip(traced[0].replaceAll('\n', ''))));
+            return [text, traced[1], text];
+        }
+        if (strategy === 'join-multi') return this.joinMulti(nodeId, entry, inputs, depth);
+        throw this.unsupported('Unsupported string strategy', nodeId);
+    }
+
+    /** A literal node setting of exactly `type(value) is kind`; linked is `unsupported-node`, else malformed. */
+    setting(nodeId, inputs, name, kind) {
+        if (!inputs.has(name)) throw new Unresolved('Missing string node setting', 'malformed');
+        const value = inputs.get(name);
+        if (isLink(value)) throw this.unsupported('Linked string node setting', nodeId);
+        const typed = { bool: typeof value === 'boolean', int: isInt(value), str: typeof value === 'string' }[kind];
+        if (!typed) throw new Unresolved('Malformed string node setting', 'malformed');
+        return value;
+    }
+
+    joinMulti(nodeId, entry, inputs, depth) {
+        const params = entry.params, flag = params.list_flag;
+        if (!inputs.has(flag)) throw new Unresolved('Missing string node setting', 'malformed');
+        if (isLink(inputs.get(flag)) || inputs.get(flag) === true) throw this.named(RUNTIME_REASON, 'runtime-value', nodeId);
+        if (inputs.get(flag) !== false) throw new Unresolved('Malformed string node setting', 'malformed');
+        const count = this.setting(nodeId, inputs, params.count, 'int');
+        const delimiter = this.setting(nodeId, inputs, params.delimiter, 'str');
+        if (!(count >= 1 && count <= MAX_JOIN_INPUTS)) throw new Unresolved('Malformed string node setting', 'malformed');
+        const total = Number(count);
+        this.scan(total);
+        const names = [entry.inputs[0]];
+        for (let index = 2; index <= total; index++) names.push(`${params.input_prefix}${index}`);
+        const parts = [], path = [], seen = new Set();
+        let size = 0;
+        names.forEach((inputName, position) => {
+            if (position && !inputs.has(inputName)) return;
+            const [part, followed] = this.text(pyGet(inputs, inputName), 'string', depth + 1);
+            this.scan(pyLen(part) + followed.length);
+            for (const step of followed) {
+                const identity = slotKey(step.node_id, step.output_slot);
+                if (!seen.has(identity)) { seen.add(identity); path.push(step); }
+            }
+            if (position && !part) return;
+            size += pyLen(part) + (parts.length ? pyLen(delimiter) : 0);
+            if (size > this.maxTextLength) throw new Unresolved('Resolved text exceeds the length limit', 'text-limit');
+            parts.push(part);
+        });
+        const text = this.built(parts.join(delimiter));
+        return [text, path, text];
+    }
+
+    sourceOf(path) {
+        if (!path.length) return 'graph-inferred';
+        return this.textSources.get(slotKey(path[0].node_id, path[0].output_slot)) ?? 'graph-inferred';
+    }
+    inheritSource(nodeId, slot, paths) {
+        const sources = new Set(paths.map(path => this.sourceOf(path)));
+        if (sources.size === 1) this.textSources.set(slotKey(nodeId, slot), [...sources][0]);
+        else this.textSources.delete(slotKey(nodeId, slot));
+    }
+    unverifiable(error) { return UNVERIFIABLE_CODES.has(error.code); }
+
+    executionRecord(nodeId, inputs) {
+        const record = readPairExecution(this.metadata, nodeId);
+        if (record === null) return null;
+        for (const name of ['text', 'negative_text', 'prepend_text', 'append_text']) {
+            let expected;
+            try {
+                expected = this.text(pyGet(inputs, name, ''), 'string')[0];
+            } catch (error) {
+                if (error instanceof Unresolved && this.unverifiable(error)) {
+                    const value = pyGet(inputs, name);
+                    if (isLink(value)) {
+                        const [sourceName] = this.node(String(value[0]));
+                        const known = ADAPTER_SLOTS.get(sourceName);
+                        if (known && !known.has(String(value[1]))) throw error;
+                        if (['StringConcatenate', 'Text Concatenate', 'Reroute'].includes(sourceName) && value[1] !== 0) throw error;
+                    }
+                    continue;
+                }
+                throw error;
+            }
+            if (name === 'prepend_text' || name === 'append_text') expected = pyStrip(expected);
+            if (expected !== record[name]) throw new Unresolved('Execution evidence does not match recorded node inputs', 'malformed');
+        }
+        return record;
+    }
+
+    side(value, samplerId, guiderId = null, depth = 0) {
+        const [text, path, storageText] = this.text(value, 'conditioning', depth);
+        const origin = path[0];
+        const provenance = {
+            format: 'comfyui', sampler_id: samplerId, ...origin, path,
+            text_source: this.textSources.get(slotKey(origin.node_id, origin.output_slot)) ?? 'graph-inferred',
+        };
+        if (guiderId !== null) provenance.guider_id = guiderId;
+        return { text, storage_text: storageText, provenance };
+    }
+
+    guider(value) {
+        const seen = new Set();
+        let depth = 0;
+        for (;;) {
+            if (depth >= this.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit');
+            if (!isLink(value)) throw new Unresolved('Expected a guider link', 'malformed');
+            const nodeId = String(value[0]), slot = value[1];
+            if (seen.has(nodeId)) throw new Unresolved('Cyclic guider ancestry', 'malformed');
+            seen.add(nodeId);
+            this.budget.spend();
+            const [name, inputs] = this.node(nodeId);
+            this.scan(inputs.size);
+            depth += 1;
+            if (name === 'Reroute' && slot === 0) {
+                const keys = ['value', 'input', 'in'].filter(item => inputs.has(item));
+                if (keys.length !== 1) throw new Unresolved('Reroute input is not uniquely identifiable', 'malformed');
+                value = inputs.get(keys[0]);
+                continue;
+            }
+            const entry = this.semantics.guiders.get(name);
+            if (entry === undefined || slot !== 0) throw this.unsupported('Unsupported guider', nodeId);
+            return [nodeId, inputs, { positive: entry.positive, negative: entry.negative ?? null }, entry.absent_reason ?? GUIDER_ABSENT_REASON, depth];
+        }
+    }
+
+    pair(samplerId) {
+        this.budget.reset(this.perCandidateVisits);
+        this.latentCharged = new Set();
+        if (this.budget.total <= 0) return result('unresolved', { samplerId, reason: 'Resolution visit limit reached', reasonCode: 'work-limit' });
+        return this.branches(samplerId);
+    }
+
+    /** One sampler's result. A detailer stage compared with its upstream stages is Task 9. */
+    stage(samplerId, later) {
+        if (later.size >= this.maxDepth) return result('unresolved', { samplerId, reason: 'Resolution depth limit reached', reasonCode: 'depth-limit' });
+        const own = this.sides(samplerId);
+        if (own.state === 'unresolved') return own;
+        const [name] = this.node(samplerId);
+        const entry = this.semantics.samplers.get(name);
+        if (entry === undefined || entry.strategy !== DETAILER) return own;
+        throw new LocalResolverGap('Detailer stages are compared in Task 9');
+    }
+
+    branches(samplerId) {
+        const pending = [new Map()], results = [];
+        try {
+            while (pending.length) {
+                this.choices = pending.shift();
+                try {
+                    results.push(this.stage(samplerId, new Set()));
+                } catch (error) {
+                    if (!(error instanceof Diverging)) throw error;
+                    if (results.length + pending.length + 2 > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit');
+                    for (const choice of [true, false]) pending.push(new Map([...this.choices, [error.key, choice]]));
+                }
+            }
+        } catch (error) {
+            if (!(error instanceof Unresolved)) throw error;
+            return result('unresolved', { samplerId, reason: error.message, reasonCode: error.code, node: error.node });
+        } finally {
+            this.choices = new Map();
+        }
+        if (results.every(item => item.state === 'unresolved')) return results[0];
+        if (new Set(results.map(outcomeKey)).size === 1) return results[0];
+        return result('ambiguous', { samplerId, reason: 'Selector branches have different prompts', candidates: results });
+    }
+
+    sides(samplerId) {
+        let positive = null, negative = null;
+        try {
+            let [name, inputs] = this.node(samplerId);
+            const entry = this.semantics.samplers.get(name);
+            this.checkOverrides(samplerId, entry, inputs);
+            const latent = entry.latent;
+            if (latent !== undefined && latent !== null && inputs.has(latent)) this.latentChecked(samplerId, inputs.get(latent));
+            let guiderId = null, depth = 0, conditioning = entry.conditioning, absentReason = 'Negative input is absent';
+            if (entry.strategy === 'custom-advanced') {
+                let guiderReason;
+                [guiderId, inputs, conditioning, guiderReason, depth] = this.guider(pyGet(inputs, conditioning.guider));
+                if (conditioning.negative === null) absentReason = guiderReason;
+            }
+            positive = this.side(pyGet(inputs, conditioning.positive), samplerId, guiderId, depth);
+            if (!pyStrip(positive.text)) throw new Unresolved(EMPTY_POSITIVE_REASON);
+            const negativeName = conditioning.negative;
+            if (negativeName === null || negativeName === undefined || !inputs.has(negativeName)) {
+                return result('absent', { positive, samplerId, reason: absentReason });
+            }
+            negative = this.side(inputs.get(negativeName), samplerId, guiderId, depth);
+            return result('resolved', { positive, negative, samplerId });
+        } catch (error) {
+            if (!(error instanceof Unresolved)) throw error;
+            return result('unresolved', { positive, negative, samplerId, reason: error.message, reasonCode: error.code, node: error.node });
+        }
+    }
+
+    checkOverrides(samplerId, entry, inputs) {
+        for (const name of entry.prompt_overrides ?? []) {
+            const value = pyGet(inputs, name);
+            if (value === null || value === '') continue;
+            if (isLink(value)) throw this.unsupported('Unsupported prompt override', String(value[0]));
+            throw this.named(RUNTIME_REASON, 'runtime-value', samplerId);
+        }
+    }
+
+    latentChecked(samplerId, value) {
+        let error;
+        if (this.latentWalks.has(samplerId)) {
+            const [walked, cost] = this.latentWalks.get(samplerId);
+            error = walked;
+            if (!this.latentCharged.has(samplerId)) {
+                this.budget.charge(cost);
+                this.latentCharged.add(samplerId);
+            }
+        } else {
+            const before = this.budget.allowance;
+            try {
+                this.latentStages(samplerId, value);
+                error = null;
+            } catch (raised) {
+                if (!(raised instanceof Unresolved) || raised.code === 'work-limit') throw raised;
+                error = raised;
+            }
+            this.latentWalks.set(samplerId, [error, before - this.budget.allowance]);
+            this.latentCharged.add(samplerId);
+        }
+        if (error !== null) throw new Unresolved(error.message, error.code, error.node === null ? null : { ...error.node });
+    }
+
+    enqueue(queue, queued, inputs, depth) {
+        this.scan(inputs.size);
+        for (const item of inputs.values()) {
+            if (!isLink(item)) continue;
+            const key = String(item[0]);
+            if (!queued.has(key)) { queued.add(key); queue.push([key, depth]); }
+        }
+    }
+
+    stageShaped(name, inputs) {
+        if (this.semantics.allClasses.has(name)) return false;
+        const { shaped, withModel } = this.semantics.stageInputs;
+        if (shaped.some(key => isLink(pyGet(inputs, key)))) return true;
+        return isLink(pyGet(inputs, 'model')) && withModel.some(key => isLink(pyGet(inputs, key)));
+    }
+
+    latentStages(origin, value) {
+        if (!isLink(value)) throw new Unresolved('Unknown latent ancestry', 'malformed');
+        const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]);
+        for (let head = 0; head < queue.length; head++) {
+            const [nodeId, depth] = queue[head];
+            if (nodeId === origin) throw new Unresolved('Cyclic latent ancestry', 'malformed');
+            if (depth >= this.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit');
+            this.budget.spend();
+            const [name, inputs] = this.node(nodeId);
+            if (this.stageClasses.has(name)) throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON);
+            if (this.stageShaped(name, inputs)) throw this.unsupported('Unsupported latent ancestry', nodeId);
+            this.enqueue(queue, queued, inputs, depth + 1);
+        }
+    }
+}
+
+const roleText = side => side !== null && typeof side === 'object' ? side.text : null;
+const outcomeKey = item => JSON.stringify([item.state, roleText(item.positive), roleText(item.negative)]);
+
+/** `_sampler_like_classes`: distinct classes, in graph order, of nodes shaped like samplers or guiders. */
+function samplerLikeClasses(graph) {
+    const names = [];
+    for (const node of graph.values()) {
+        if (!isDict(node) || !isDict(pyGet(node, 'inputs'))) continue;
+        const name = pyGet(node, 'class_type');
+        if (typeof name !== 'string' || !name || names.includes(name)) continue;
+        if (SAMPLER_LIKE_INPUTS.some(key => isLink(pyGet(node.get('inputs'), key)))) {
+            names.push(pySlice(name, CLASS_NAME_LENGTH));
+            if (names.length === NO_SAMPLER_NAMES) break;
+        }
+    }
+    return names;
+}
+
+function noSampler(graph) {
+    const seen = samplerLikeClasses(graph);
+    const reason = `No supported sampler pair found${seen.length ? ` (saw ${seen.join(', ')})` : ''}`;
+    return result('unresolved', { reason, reasonCode: 'no-sampler' });
+}
+
+/** Python `kind in mapping` for a workflow `type`: an unhashable list or dict raises `TypeError` there. */
+function hashable(value) {
+    if (isList(value) || isDict(value)) throw new TypeError("unhashable type in workflow node 'type'");
+    return value;
+}
+
+/** `_prompt_manager_widgets`: API node ID to widget text for every PromptManager node that runs. */
+function promptManagerWidgets(workflow) {
+    const nodes = isDict(workflow) ? pyGet(workflow, 'nodes') : null;
+    if (!isList(nodes)) return new Map();
+    const definitions = pyGet(workflow, 'definitions');
+    const listed = isDict(definitions) ? pyGet(definitions, 'subgraphs') : null;
+    const subgraphs = new Map();
+    for (const subgraph of isList(listed) ? listed : []) {
+        if (isDict(subgraph) && typeof pyGet(subgraph, 'id') === 'string' && isList(pyGet(subgraph, 'nodes'))) subgraphs.set(subgraph.get('id'), subgraph.get('nodes'));
+    }
+    const widgets = new Map(), stack = [[nodes, '', 0]];
+    let visited = 0;
+    while (stack.length) {
+        const [members, prefix, depth] = stack.pop();
+        for (const node of members) {
+            visited += 1;
+            if (visited > MAX_WORKFLOW_NODES) return widgets;
+            if (!isDict(node)) continue;
+            const kind = pyGet(node, 'type'), nodeId = pyGet(node, 'id');
+            if (!(typeof nodeId === 'string' || isInt(nodeId))) continue;
+            const apiId = `${prefix}${String(nodeId)}`;
+            if (typeof hashable(kind) === 'string' && subgraphs.has(kind) && depth < MAX_SUBGRAPH_DEPTH) {
+                stack.push([subgraphs.get(kind), `${apiId}:`, depth + 1]);
+                continue;
+            }
+            const values = pyGet(node, 'widgets_values');
+            const text = isList(values) && values.length && typeof values[0] === 'string' ? values[0] :
+                isDict(values) && typeof pyGet(values, 'text') === 'string' ? values.get('text') : null;
+            if (typeof kind === 'string' && kind !== 'PromptManagerPair' && kind.toLowerCase().includes('promptmanager') && text !== null) widgets.set(apiId, text);
+        }
+    }
+    return widgets;
+}
+
+/** `_overwritten_prompt_nodes` (R1). */
+function overwrittenPromptNodes(workflow, graph) {
+    const widgets = promptManagerWidgets(workflow), byText = new Map();
+    for (const [nodeId] of widgets) {
+        const node = pyGet(graph, nodeId);
+        const inputs = isDict(node) ? pyGet(node, 'inputs') : null;
+        const text = isDict(inputs) ? pyGet(inputs, 'text') : null;
+        if (typeof text === 'string') {
+            if (!byText.has(text)) byText.set(text, []);
+            byText.get(text).push(nodeId);
+        }
+    }
+    const found = new Set();
+    for (const ids of byText.values()) {
+        if (ids.length > 1 && new Set(ids.map(id => widgets.get(id))).size > 1) ids.forEach(id => found.add(id));
+    }
+    return found;
+}
+
+/** `_resolve` for an unanchored inspection (output_node_id None). */
+function resolve(metadata, semantics) {
+    if (!isDict(metadata) || !metadata.size) return result('absent', { reason: 'No parsed prompt metadata' });
+    let graph;
+    if (metadata.has('prompt')) graph = metadata.get('prompt');
+    else if (metadata.has('parameters')) throw new LocalResolverGap('A1111 parameters are resolved in Task 9');
+    else graph = metadata;
+    if (!isDict(graph) || !graph.size) return result('unresolved', { reason: 'API graph is missing or malformed', reasonCode: 'malformed' });
+    if (graph.size > PROFILE.nodeCeiling) return result('unresolved', { reason: 'Prompt graph exceeds the inspection node ceiling', reasonCode: 'graph-ceiling' });
+    if (semantics === null) return result('unresolved', { reason: SEMANTICS_UNAVAILABLE_REASON });
+    const overwritten = metadata.has('prompt') ? overwrittenPromptNodes(pyGet(metadata, 'workflow'), graph) : new Set();
+    const resolver = new GraphResolver(graph, metadata.has('prompt') ? metadata : null, semantics, overwritten);
+    const samplerIds = [...graph].filter(([, node]) => isDict(node) && typeof pyGet(node, 'class_type') === 'string' && resolver.samplerClasses.has(node.get('class_type'))).map(([id]) => id);
+    if (!samplerIds.length) return noSampler(graph);
+    if (samplerIds.length > 1 || samplerIds.some(id => semantics.samplers.get(graph.get(id).get('class_type')).strategy === DETAILER)) {
+        throw new LocalResolverGap('Several sampler candidates are selected in Task 9');
+    }
+    return resolver.pair(samplerIds[0]);
+}
+
+
+/** `_may_hold_prompt_manager`. */
+function mayHoldPromptManager(canonical) {
+    const graph = pyGet(canonical, 'prompt');
+    if (!isDict(graph)) return false;
+    for (const node of graph.values()) {
+        if (!isDict(node)) continue;
+        const name = pyGet(node, 'class_type'), inputs = pyGet(node, 'inputs');
+        if (typeof name === 'string' && name.toLowerCase().includes('promptmanager')) return true;
+        if (isDict(inputs) && inputs.has('search_text')) return true;
+    }
+    return false;
+}
+
+/** `_parsed_workflow`: the UI workflow as a dict, or null. */
+function parsedWorkflow(value) {
+    if (typeof value === 'string') {
+        try { value = pyJsonLoads(value); } catch (error) {
+            if (error instanceof PyValueError) return null;
+            throw error;
+        }
+    }
+    return isDict(value) ? value : null;
+}
+
+/**
+ * `inspect_prompt_evidence(records, None, profile=INSPECTION_PROFILE)`: `{prompts, resolution}` for the records a
+ * local read found (`{prompt, workflow, parameters, comfyassets_prompt_pairs}` texts). `semantics` is
+ * `compileSemantics(...)`'s table, or null when it could not be loaded.
+ */
+export function resolveLocalEvidence(records, semantics) {
+    const source = records !== null && typeof records === 'object' ? records : {};
+    const metadata = new Map(Object.entries(source).filter(([key]) => ROLE_METADATA_KEYS.has(key)));
+    const malformedResolution = { state: 'unresolved', sampler_id: null, reason: 'Prompt evidence is malformed', reason_code: 'malformed', node: null };
+    if (!metadata.size) {
+        return {
+            prompts: { positive: sideOf('absent'), negative: sideOf('absent') },
+            resolution: { state: 'absent', sampler_id: null, reason: 'No parsed prompt metadata', reason_code: null, node: null },
+        };
+    }
+    const malformed = { prompts: explained({ positive: sideOf('unresolved'), negative: sideOf('unresolved') }, malformedResolution), resolution: malformedResolution };
+    if (!metadata.has('prompt') && !metadata.has('parameters')) return malformed;
+    if (typeof metadata.get('prompt') === 'string') {
+        try { metadata.set('prompt', pyJsonLoads(metadata.get('prompt'))); } catch (error) {
+            if (error instanceof PyValueError) return malformed;
+            throw error;
+        }
+    }
+    const workflow = mayHoldPromptManager(metadata) ? parsedWorkflow(source.workflow ?? null) : null;
+    if (workflow !== null && metadata.has('prompt')) metadata.set('workflow', workflow);
+    const resolved = resolve(metadata, semantics);
+    const state = resolved.state, prompts = {};
+    for (const role of ['positive', 'negative']) {
+        const side = resolved[role];
+        const present = side !== null && typeof side === 'object';
+        if (state !== 'ambiguous' && present && (role === 'negative' || pyStrip(side.text))) prompts[role] = sideOf('resolved', side.text, side.provenance.text_source);
+        else if (state === 'resolved' && present) prompts[role] = { ...sideOf('unresolved'), message: EMPTY_POSITIVE };
+        else prompts[role] = sideOf(state !== 'resolved' ? state : 'unresolved');
+    }
+    const resolution = { state, sampler_id: resolved.sampler_id, reason: resolved.reason, reason_code: resolved.reason_code, node: resolved.node };
+    return { prompts: explained(prompts, resolution), resolution };
+}
+
diff --git a/web/js/workspace/py-json.mjs b/web/js/workspace/py-json.mjs
new file mode 100644
index 00000000..54d7dd92
--- /dev/null
+++ b/web/js/workspace/py-json.mjs
@@ -0,0 +1,239 @@
+// Python's value model for the local inspection resolver (#249 local Inspect, PR L3): the server's resolver
+// (utils/prompt_pair_resolver.py) runs on `json.loads` output, so the browser port reads the same text the same way.
+// Objects are `Map`s (insertion order, a repeated key keeps its first position and its last value, as a dict does),
+// integers are numbers (or BigInt past 2^53 - 1), floats are `PyFloat`, None is null. Strings are measured, sliced and
+// stripped as Python's `str` is: by code point, with `str.isspace()` whitespace. No DOM.
+
+/** A Python float: distinct from an int (`1.0` is not a link slot, `type(x) is int` is false). */
+export class PyFloat {
+    constructor(value) {
+        this.value = value;
+        Object.freeze(this);
+    }
+}
+
+/** `ValueError` from `json.loads` (malformed text, or an integer past `sys.int_info.str_digits_check_threshold`). */
+export class PyValueError extends Error {
+    constructor(message) {
+        super(message);
+        this.name = 'PyValueError';
+    }
+}
+
+// CPython's default int max str digits (PEP 651 / gh-95778).
+const INT_MAX_STR_DIGITS = 4300;
+const MAX_SAFE_DIGITS = '9007199254740991';
+const NUMBER = /-?(?:0|[1-9][0-9]*)(\.[0-9]+)?([eE][-+]?[0-9]+)?/y;
+const STRING_STOP = /["\\\u0000-\u001f]/g;
+const HEX4 = /^[0-9a-fA-F]{4}$/;
+const ESCAPES = { '"': '"', '\\': '\\', '/': '/', b: '\b', f: '\f', n: '\n', r: '\r', t: '\t' };
+// The C scanner's constants, in its order of checks.
+const CONSTANTS = [['null', null], ['true', true], ['false', false], ['NaN', new PyFloat(NaN)],
+    ['Infinity', new PyFloat(Infinity)], ['-Infinity', new PyFloat(-Infinity)]];
+
+export const isDict = value => value instanceof Map;
+export const isList = value => Array.isArray(value);
+/** `isinstance(value, int) and not isinstance(value, bool)`. */
+export const isInt = value => (typeof value === 'number' && Number.isInteger(value)) || typeof value === 'bigint';
+
+function numberValue(match) {
+    const [literal, fraction, exponent] = match;
+    if (fraction || exponent) return new PyFloat(Number(literal));
+    const digits = literal[0] === '-' ? literal.slice(1) : literal;
+    if (digits.length > INT_MAX_STR_DIGITS) throw new PyValueError('Exceeds the limit for integer string conversion');
+    if (digits.length > MAX_SAFE_DIGITS.length || (digits.length === MAX_SAFE_DIGITS.length && digits > MAX_SAFE_DIGITS)) return BigInt(literal);
+    // `-0` is the int 0.
+    return Number(literal) || 0;
+}
+
+/** `json.loads(text)` with Python's defaults (C scanner): NaN/Infinity accepted, a repeated key's last value wins. */
+export function pyJsonLoads(text) {
+    if (typeof text !== 'string') throw new TypeError('JSON text must be a string');
+    if (text.startsWith('')) throw new PyValueError('Unexpected UTF-8 BOM (decode using utf-8-sig)');
+    let pos = 0;
+    const fail = message => new PyValueError(`${message}: char ${pos}`);
+    const skip = () => {
+        while (pos < text.length) {
+            const c = text.charCodeAt(pos);
+            if (c !== 0x20 && c !== 0x09 && c !== 0x0a && c !== 0x0d) break;
+            pos++;
+        }
+    };
+    function string() {
+        pos++;
+        let out = '';
+        for (;;) {
+            STRING_STOP.lastIndex = pos;
+            const stop = STRING_STOP.exec(text);
+            if (!stop) throw fail('Unterminated string starting at');
+            out += text.slice(pos, stop.index);
+            pos = stop.index + 1;
+            if (stop[0] === '"') return out;
+            if (stop[0] !== '\\') throw fail('Invalid control character at');
+            const escape = text[pos];
+            if (escape === 'u') {
+                const hex = text.slice(pos + 1, pos + 5);
+                if (!HEX4.test(hex)) throw fail('Invalid \\uXXXX escape');
+                pos += 5;
+                const code = parseInt(hex, 16);
+                if (code >= 0xd800 && code <= 0xdbff && text[pos] === '\\' && text[pos + 1] === 'u') {
+                    const low = text.slice(pos + 2, pos + 6);
+                    if (!HEX4.test(low)) throw fail('Invalid \\uXXXX escape');
+                    const lowCode = parseInt(low, 16);
+                    if (lowCode >= 0xdc00 && lowCode <= 0xdfff) {
+                        out += String.fromCharCode(code, lowCode);
+                        pos += 6;
+                        continue;
+                    }
+                }
+                out += String.fromCharCode(code);
+            } else if (Object.hasOwn(ESCAPES, escape)) {
+                out += ESCAPES[escape];
+                pos++;
+            } else throw fail('Invalid \\escape');
+        }
+    }
+    function key() {
+        if (text[pos] !== '"') throw fail('Expecting property name enclosed in double quotes');
+        const name = string();
+        skip();
+        if (text[pos] !== ':') throw fail("Expecting ':' delimiter");
+        pos++;
+        skip();
+        return name;
+    }
+    function scalar() {
+        if (text[pos] === '"') return string();
+        for (const [literal, value] of CONSTANTS) {
+            if (text.startsWith(literal, pos)) {
+                pos += literal.length;
+                return value;
+            }
+        }
+        NUMBER.lastIndex = pos;
+        const match = NUMBER.exec(text);
+        if (!match) throw fail('Expecting value');
+        pos += match[0].length;
+        return numberValue(match);
+    }
+    skip();
+    const stack = [];
+    let result;
+    for (;;) {
+        let value;
+        if (text[pos] === '{') {
+            pos++; skip();
+            const frame = { value: new Map(), object: true, key: null };
+            if (text[pos] === '}') pos++;
+            else { frame.key = key(); stack.push(frame); continue; }
+            value = frame.value;
+        } else if (text[pos] === '[') {
+            pos++; skip();
+            const frame = { value: [], object: false };
+            if (text[pos] === ']') pos++;
+            else { stack.push(frame); continue; }
+            value = frame.value;
+        } else value = scalar();
+        for (;;) {
+            if (!stack.length) { result = value; break; }
+            const frame = stack[stack.length - 1];
+            if (frame.object) frame.value.set(frame.key, value);
+            else frame.value.push(value);
+            skip();
+            if (text[pos] === ',') {
+                pos++; skip();
+                if (frame.object) frame.key = key();
+                break;
+            }
+            if (text[pos] !== (frame.object ? '}' : ']')) throw fail("Expecting ',' delimiter");
+            pos++;
+            stack.pop();
+            value = frame.value;
+        }
+        if (!stack.length) break;
+    }
+    skip();
+    if (pos !== text.length) throw fail('Extra data');
+    return result;
+}
+
+/** `len(text)`: code points (a lone surrogate counts once). */
+export function pyLen(text) {
+    let pairs = 0;
+    for (let index = 0; index < text.length - 1; index++) {
+        const code = text.charCodeAt(index);
+        if (code >= 0xd800 && code <= 0xdbff) {
+            const next = text.charCodeAt(index + 1);
+            if (next >= 0xdc00 && next <= 0xdfff) { pairs++; index++; }
+        }
+    }
+    return text.length - pairs;
+}
+
+/** `text[:count]` by code points. */
+export function pySlice(text, count) {
+    if (text.length <= count) return text;
+    let end = 0;
+    for (let taken = 0; taken < count && end < text.length; taken++) {
+        const code = text.charCodeAt(end);
+        const next = text.charCodeAt(end + 1);
+        end += code >= 0xd800 && code <= 0xdbff && next >= 0xdc00 && next <= 0xdfff ? 2 : 1;
+    }
+    return text.slice(0, end);
+}
+
+// `str.isspace()`: Unicode Zs plus the bidi classes B, S and WS (not U+FEFF, unlike `trim()`).
+const SPACE = '\\t\\n\\x0b\\x0c\\r\\x1c-\\x1f \\x85\\xa0\\u1680\\u2000-\\u200a\\u2028\\u2029\\u202f\\u205f\\u3000';
+const LEADING = new RegExp(`^[${SPACE}]+`), TRAILING = new RegExp(`[${SPACE}]+$`);
+/** `text.strip()`. */
+export const pyStrip = text => text.replace(LEADING, '').replace(TRAILING, '');
+
+/** `bool(value)`. */
+export function pyTruthy(value) {
+    if (value === null || value === undefined || value === false) return false;
+    if (value === true) return true;
+    if (typeof value === 'number') return value !== 0;
+    if (typeof value === 'bigint') return value !== 0n;
+    if (value instanceof PyFloat) return value.value !== 0;
+    if (typeof value === 'string' || isList(value)) return value.length > 0;
+    if (isDict(value)) return value.size > 0;
+    return true;
+}
+
+/** `value == 1` (True and 1.0 equal it too). */
+export const pyEqualsOne = value => value === 1 || value === 1n || value === true || (value instanceof PyFloat && value.value === 1);
+
+/** `repr(float)`: the shortest round-trip digits, fixed for exponents -4..15, else `d.ddde+XX`. */
+export function pyFloatRepr(value) {
+    if (Number.isNaN(value)) return 'nan';
+    if (!Number.isFinite(value)) return value > 0 ? 'inf' : '-inf';
+    if (value === 0) return Object.is(value, -0) ? '-0.0' : '0.0';
+    const [mantissa, exponentText] = value.toExponential().split('e');
+    const exponent = Number(exponentText);
+    const sign = mantissa.startsWith('-') ? '-' : '';
+    const digits = mantissa.replace(/^-/, '').replace('.', '');
+    if (exponent < -4 || exponent >= 16) {
+        const rest = digits.slice(1);
+        return `${sign}${digits[0]}${rest ? `.${rest}` : ''}e${exponent < 0 ? '-' : '+'}${String(Math.abs(exponent)).padStart(2, '0')}`;
+    }
+    if (exponent < 0) return `${sign}0.${'0'.repeat(-exponent - 1)}${digits}`;
+    const whole = digits.slice(0, exponent + 1).padEnd(exponent + 1, '0'), fraction = digits.slice(exponent + 1);
+    return `${sign}${whole}.${fraction || '0'}`;
+}
+
+/**
+ * `str(value)` where the resolver compares the result with node class names (`str(node.get("class_type", ""))`).
+ * A container's text never equals a class name, so it is a marker only.
+ */
+export function pyStr(value) {
+    if (typeof value === 'string') return value;
+    if (value === null || value === undefined) return 'None';
+    if (value === true) return 'True';
+    if (value === false) return 'False';
+    if (typeof value === 'number' || typeof value === 'bigint') return String(value);
+    if (value instanceof PyFloat) return pyFloatRepr(value.value);
+    return '\u0000container';
+}
+
+/** `mapping.get(key, fallback)`. */
+export const pyGet = (mapping, key, fallback = null) => mapping.has(key) ? mapping.get(key) : fallback;