Merge pull request #7879: Shaw/wip snapshot 2026 05 21

Shaw/wip snapshot 2026 05 21

Author: lalalune

packages/agent/vitest.config.ts

@@ -102,6 +102,13 @@ export default defineConfig({
         find: /^@elizaos\/vault\/(.+)$/,
         replacement: path.join(monorepoRoot, "packages/vault/src/$1"),
       },
+      {
+        find: /^@elizaos\/plugin-worker-runtime$/,
+        replacement: path.join(
+          monorepoRoot,
+          "packages/plugin-worker-runtime/src/index.ts",
+        ),
+      },
       {
         find: /^@elizaos\/plugin-cli$/,
         replacement: path.join(

packages/app-core/scripts/build-llama-cpp-dflash.mjs

@@ -243,8 +243,6 @@ const SUPPORTED_TARGETS = [
   // packages/app-core/patches/llama-cpp-capacitor@0.1.5.patch consumes.
   "ios-arm64-metal",
   "ios-arm64-simulator-metal",
-  "ios-arm64-metal-fused",
-  "ios-arm64-simulator-metal-fused",
   "windows-x64-cpu",
   "windows-x64-cuda",
   // windows-x64-vulkan: generic-GPU path on x64 Windows. NVIDIA/AMD/Intel
@@ -281,8 +279,6 @@ const FUSED_TARGETS = new Set([
   "linux-x64-vulkan-fused",
   "linux-aarch64-cuda-fused",
   "darwin-arm64-metal-fused",
-  "ios-arm64-metal-fused",
-  "ios-arm64-simulator-metal-fused",
   "windows-x64-cuda-fused",
 ]);
 
@@ -306,6 +302,14 @@ const UNSUPPORTED_FUSED_TARGET_REASONS = new Map([
     "android-x86_64-vulkan-fused",
     "Android x86_64 fused FFI is not a dflash target in this script; packages/app-core/scripts/aosp/compile-libllama.mjs owns emulator/system-agent fused artifacts.",
   ],
+  [
+    "ios-arm64-metal-fused",
+    "iOS fused FFI is not wired or verifier-covered in build-llama-cpp-dflash.mjs; ios-arm64-metal-fused is not a supported dflash target.",
+  ],
+  [
+    "ios-arm64-simulator-metal-fused",
+    "iOS fused FFI is not wired or verifier-covered in build-llama-cpp-dflash.mjs; ios-arm64-simulator-metal-fused is not a supported dflash target.",
+  ],
 ]);
 
 // Strip the "-fused" suffix when one is present, returning the base

packages/app-core/vitest.config.ts

@@ -7,6 +7,10 @@ const fileDir = path.dirname(fileURLToPath(import.meta.url));
 const monorepoRoot = path.resolve(fileDir, "../..");
 const appCoreSrc = path.join(fileDir, "src");
 const agentSrc = path.join(monorepoRoot, "packages/agent/src");
+const pluginWorkerRuntimeSrc = path.join(
+  monorepoRoot,
+  "packages/plugin-worker-runtime/src",
+);
 const uiDir = path.join(monorepoRoot, "packages/ui");
 const sharedSrc = path.join(monorepoRoot, "packages/shared/src");
 const coreSrc = path.join(monorepoRoot, "packages/core/src");
@@ -448,6 +452,14 @@ export default defineConfig({
         find: /^@elizaos\/plugin-x402$/,
         replacement: path.join(pluginX402Src, "index.ts"),
       },
+      {
+        find: /^@elizaos\/plugin-worker-runtime$/,
+        replacement: path.join(pluginWorkerRuntimeSrc, "index.ts"),
+      },
+      {
+        find: /^@elizaos\/plugin-worker-runtime\/(.+)$/,
+        replacement: path.join(pluginWorkerRuntimeSrc, "$1"),
+      },
       {
         find: /^@elizaos\/plugin-browser$/,
         replacement: path.join(pluginBrowserBridgeSrc, "index.ts"),

packages/chip/Makefile

@@ -1358,7 +1358,26 @@ software-bsp-test:
 evidence-regression-test: no-hardware-action-check software-bsp-test physical-gates-test product-feature-gates-check product-check-status-test benchmark-sim-metrics-test benchmark-calibration-test benchmark-parser-test benchmark-efficiency-scope-test software-bsp-scope-test cpu-ap-scope-test npu-scope-test renode-status-test cocotb cocotb-npu cocotb-contract cocotb-cpu record-tool-versions strict-release-gate-test
 	@echo "evidence regression tests complete"
 
-.PHONY: ai-eda-source-inventory-check ai-eda-external-assets-check ai-eda-external-intake-check ai-eda-external-assets-dry-run ai-eda-bootstrap-metadata ai-eda-bootstrap-setup-check ai-eda-bootstrap-local-smoke ai-eda-bootstrap-training-handoff ai-eda-alphachip-checkpoint-blocker-check ai-eda-alphachip-checkpoint-blocker-network-check ai-eda-internal-schemas-check ai-eda-internal-fixtures ai-eda-openroad-eda-corpus-convert ai-eda-tilos-macroplacement-convert ai-eda-circuitnet3-convert ai-eda-chipbench-d-convert ai-eda-circuitnet3-surrogate ai-eda-openabc-d-convert ai-eda-e1-softmacro-cases ai-eda-external-fixture-convert ai-eda-e1-openlane-convert ai-eda-openlane-flow-labels ai-eda-pd-surrogate-smoke ai-eda-fixture-placement-train ai-eda-macro-placement-supervised-dataset ai-eda-macro-placement-supervised-train ai-eda-macro-placement-torch-train ai-eda-macro-placement-torch-infer ai-eda-macro-placement-supervised-replay-plan ai-eda-macro-placement-baseline ai-eda-macro-placement-candidate-eval ai-eda-macro-placement-combined-candidate-eval ai-eda-macro-placement-full-candidate-eval ai-eda-macro-placement-replay-plan ai-eda-macro-placement-combined-replay-plan ai-eda-macro-placement-full-replay-plan ai-eda-candidate-manifests-check ai-eda-tool-actions-check ai-eda-cocotb-stimulus-dry-run ai-eda-logic-synthesis-recipes ai-eda-logic-synthesis-baseline ai-eda-cuda-preflight ai-eda-cuda-payload
+.PHONY: ai-eda-source-inventory-check ai-eda-external-assets-check ai-eda-external-intake-check \
+	ai-eda-external-assets-dry-run ai-eda-local-rag-index ai-eda-backend-preflight \
+	ai-eda-bootstrap-metadata ai-eda-bootstrap-setup-check ai-eda-bootstrap-local-smoke \
+	ai-eda-bootstrap-training-handoff ai-eda-alphachip-checkpoint-blocker-check \
+	ai-eda-alphachip-checkpoint-blocker-network-check ai-eda-internal-schemas-check \
+	ai-eda-internal-fixtures ai-eda-openroad-eda-corpus-convert ai-eda-tilos-macroplacement-convert \
+	ai-eda-circuitnet3-convert ai-eda-chipbench-d-convert ai-eda-aieda-idata-convert \
+	ai-eda-edalearn-convert ai-eda-circuitnet3-surrogate ai-eda-openabc-d-convert \
+	ai-eda-e1-softmacro-cases ai-eda-external-fixture-convert ai-eda-e1-openlane-convert \
+	ai-eda-openlane-flow-labels ai-eda-pd-surrogate-smoke ai-eda-fixture-placement-train \
+	ai-eda-macro-placement-supervised-dataset ai-eda-macro-placement-supervised-train \
+	ai-eda-macro-placement-torch-train ai-eda-macro-placement-torch-infer \
+	ai-eda-macro-placement-supervised-replay-plan ai-eda-macro-placement-baseline \
+	ai-eda-macro-placement-candidate-eval ai-eda-macro-placement-combined-candidate-eval \
+	ai-eda-macro-placement-full-candidate-eval ai-eda-macro-placement-replay-plan \
+	ai-eda-macro-placement-replay-preflight ai-eda-macro-placement-combined-replay-plan \
+	ai-eda-macro-placement-full-replay-plan ai-eda-candidate-manifests-check \
+	ai-eda-tool-actions-check ai-eda-cocotb-stimulus-dry-run ai-eda-verification-targets \
+	ai-eda-physical-design-targets ai-eda-optimization-targets ai-eda-logic-synthesis-recipes \
+	ai-eda-logic-synthesis-baseline ai-eda-cuda-preflight ai-eda-cuda-payload ai-eda-cuda-payload-check
 ai-eda-source-inventory-check:
 	@$(PYTHON) scripts/check_ai_eda_source_inventory.py
 
@@ -1371,11 +1390,19 @@ ai-eda-external-intake-check: ai-eda-external-assets-check
 ai-eda-external-assets-dry-run:
 	@$(PYTHON) scripts/ai_eda/fetch_external_asset.py --all --dry-run --run-id $(AI_EDA_RUN_ID)
 
+ai-eda-local-rag-index:
+	@$(PYTHON) scripts/ai_eda/build_local_eda_rag_index.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/check_local_eda_rag_index.py
+
+ai-eda-backend-preflight:
+	@$(PYTHON) scripts/ai_eda/preflight_ai_eda_backends.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/check_backend_preflight.py --report build/ai_eda/backend_preflight/$(AI_EDA_RUN_ID)/backend_preflight_report.json
+
 ai-eda-bootstrap-metadata:
 	@$(PYTHON) scripts/ai_eda/bootstrap_ai_eda_stack.py --profile metadata --run-id $(AI_EDA_RUN_ID)
 
 ai-eda-bootstrap-setup-check:
-	@$(PYTHON) scripts/ai_eda/bootstrap_ai_eda_stack.py --profile setup-check --run-id $(AI_EDA_RUN_ID) --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d
+	@$(PYTHON) scripts/ai_eda/bootstrap_ai_eda_stack.py --profile setup-check --run-id $(AI_EDA_RUN_ID) --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d --asset aieda-idata --asset edalearn
 
 ai-eda-bootstrap-local-smoke:
 	@$(PYTHON) scripts/ai_eda/bootstrap_ai_eda_stack.py --profile local-smoke --run-id $(AI_EDA_RUN_ID)
@@ -1412,6 +1439,16 @@ ai-eda-chipbench-d-convert: ai-eda-internal-schemas-check
 	@$(PYTHON) scripts/ai_eda/check_internal_dataset_schemas.py --records-dir build/ai_eda/chipbench_d/$(AI_EDA_RUN_ID)/records
 	@$(PYTHON) scripts/ai_eda/check_chipbench_d_conversion.py --report build/ai_eda/chipbench_d/$(AI_EDA_RUN_ID)/conversion_report.json
 
+ai-eda-aieda-idata-convert: ai-eda-internal-schemas-check
+	@$(PYTHON) scripts/ai_eda/convert_aieda_idata_to_internal_records.py --run-id $(AI_EDA_RUN_ID) --sample-limit 3
+	@$(PYTHON) scripts/ai_eda/check_internal_dataset_schemas.py --records-dir build/ai_eda/aieda_idata/$(AI_EDA_RUN_ID)/records
+	@$(PYTHON) scripts/ai_eda/check_aieda_idata_conversion.py --report build/ai_eda/aieda_idata/$(AI_EDA_RUN_ID)/conversion_report.json
+
+ai-eda-edalearn-convert: ai-eda-internal-schemas-check
+	@$(PYTHON) scripts/ai_eda/convert_edalearn_to_internal_records.py --run-id $(AI_EDA_RUN_ID) --sample-limit 8
+	@$(PYTHON) scripts/ai_eda/check_internal_dataset_schemas.py --records-dir build/ai_eda/edalearn/$(AI_EDA_RUN_ID)/records
+	@$(PYTHON) scripts/ai_eda/check_edalearn_conversion.py --report build/ai_eda/edalearn/$(AI_EDA_RUN_ID)/conversion_report.json
+
 ai-eda-circuitnet3-surrogate: ai-eda-circuitnet3-convert
 	@$(PYTHON) scripts/ai_eda/train_circuitnet3_timing_power_baseline.py --run-id $(AI_EDA_RUN_ID)
 	@$(PYTHON) scripts/ai_eda/check_circuitnet3_surrogate.py --report build/ai_eda/circuitnet3_surrogate/$(AI_EDA_RUN_ID)/training_run.json
@@ -1484,6 +1521,10 @@ ai-eda-macro-placement-replay-plan: ai-eda-macro-placement-candidate-eval
 	@$(PYTHON) scripts/ai_eda/check_macro_placement_replay_plan.py --report build/ai_eda/macro_placement_replay/$(AI_EDA_RUN_ID)/replay_plan.json
 	@$(PYTHON) scripts/ai_eda/check_tool_action_manifests.py --manifests-dir build/ai_eda/macro_placement_replay/$(AI_EDA_RUN_ID)/tool_actions
 
+ai-eda-macro-placement-replay-preflight: ai-eda-macro-placement-replay-plan
+	@$(PYTHON) scripts/ai_eda/replay_macro_placement_on_e1.py --run-id $(AI_EDA_RUN_ID) --plan build/ai_eda/macro_placement_replay/$(AI_EDA_RUN_ID)/replay_plan.json
+	@$(PYTHON) scripts/ai_eda/check_macro_placement_replay_preflight.py --report build/ai_eda/macro_placement_replay_preflight/$(AI_EDA_RUN_ID)/replay_preflight_report.json
+
 ai-eda-macro-placement-combined-replay-plan: ai-eda-macro-placement-combined-candidate-eval
 	@$(PYTHON) scripts/ai_eda/plan_macro_placement_replay.py --run-id $(AI_EDA_RUN_ID) --candidate-dir build/ai_eda/macro_placement_policy/$(AI_EDA_RUN_ID)/candidates --candidate-dir build/ai_eda/macro_placement_supervised_model/$(AI_EDA_RUN_ID)/candidates --out-root build/ai_eda/macro_placement_combined_replay
 	@$(PYTHON) scripts/ai_eda/check_macro_placement_replay_plan.py --report build/ai_eda/macro_placement_combined_replay/$(AI_EDA_RUN_ID)/replay_plan.json
@@ -1503,6 +1544,19 @@ ai-eda-tool-actions-check: ai-eda-internal-schemas-check
 ai-eda-cocotb-stimulus-dry-run:
 	@$(PYTHON) scripts/ai_eda/run_cocotb_stimulus_search.py --dry-run --run-id $(AI_EDA_RUN_ID)
 
+ai-eda-verification-targets:
+	@$(PYTHON) scripts/ai_eda/capture_logic_synthesis_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/capture_rtl_rewrite_equivalence_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/capture_netlist_equivalence_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/check_verification_target_captures.py --run-id $(AI_EDA_RUN_ID)
+
+ai-eda-physical-design-targets:
+	@$(PYTHON) scripts/ai_eda/capture_timing_closure_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/capture_routing_congestion_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/capture_placement_legalization_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/capture_physical_verification_targets.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/check_physical_design_target_captures.py --run-id $(AI_EDA_RUN_ID)
+
 ai-eda-logic-synthesis-recipes:
 	@$(PYTHON) scripts/ai_eda/generate_logic_synthesis_recipe_corpus.py --run-id $(AI_EDA_RUN_ID)
 	@$(PYTHON) scripts/ai_eda/check_logic_synthesis_policy_baseline.py --corpus build/ai_eda/logic_synthesis_recipes/$(AI_EDA_RUN_ID)/recipe_corpus.json --corpus-only
@@ -1516,8 +1570,12 @@ ai-eda-cuda-preflight:
 
 ai-eda-cuda-payload:
 	@$(PYTHON) scripts/ai_eda/package_cuda_training_payload.py --run-id $(AI_EDA_RUN_ID)
+	@$(PYTHON) scripts/ai_eda/check_cuda_training_payload.py --report build/ai_eda/cuda_training_payloads/$(AI_EDA_RUN_ID)/cuda_training_payload_report.json
+
+ai-eda-cuda-payload-check:
+	@$(PYTHON) scripts/ai_eda/check_cuda_training_payload.py --report build/ai_eda/cuda_training_payloads/$(AI_EDA_RUN_ID)/cuda_training_payload_report.json
 
-docs-check: ai-eda-source-inventory-check ai-eda-external-assets-check ai-eda-external-intake-check ai-eda-alphachip-checkpoint-blocker-check ai-eda-internal-schemas-check ai-eda-candidate-manifests-check ai-eda-tool-actions-check ai-eda-cocotb-stimulus-dry-run
+docs-check: ai-eda-local-rag-index ai-eda-backend-preflight ai-eda-verification-targets ai-eda-physical-design-targets ai-eda-source-inventory-check ai-eda-external-assets-check ai-eda-external-intake-check ai-eda-alphachip-checkpoint-blocker-check ai-eda-internal-schemas-check ai-eda-candidate-manifests-check ai-eda-tool-actions-check ai-eda-cocotb-stimulus-dry-run
 	@$(PYTHON) scripts/docs_check.py
 
 tool-versions:

packages/chip/README.md

@@ -47,31 +47,50 @@ under `build/ai_eda/`.
 
 ```sh
 make ai-eda-bootstrap-metadata
+make ai-eda-backend-preflight
 make ai-eda-bootstrap-setup-check
 make ai-eda-bootstrap-local-smoke
 make ai-eda-cuda-payload
 ```
 
 Use `make ai-eda-bootstrap-metadata` on a fresh machine first. It downloads
-nothing. Use `make ai-eda-bootstrap-setup-check` after reviewed payloads such as
-TILOS MacroPlacement, OpenROAD EDA Corpus, CircuitNet 3.0, ChiPBench-D, and
-OpenABC-D have been fetched or restored; it rebuilds normalized corpora,
+nothing and also records local AI/EDA backend availability without installing
+packages or cloning repositories. Use `make ai-eda-backend-preflight` directly
+when preparing a CUDA/Linux host for optional ZigZag, Timeloop/Accelergy,
+RTL-MUL, LLM4DV, AssertLLM, or Fault lanes. Use
+`make ai-eda-bootstrap-setup-check` after reviewed payloads such as TILOS
+MacroPlacement, OpenROAD EDA Corpus, CircuitNet 3.0, ChiPBench-D, OpenABC-D,
+and AiEDA/iDATA have been fetched or restored; it rebuilds normalized corpora,
 bounded surrogate baselines, and E1 cases without CUDA training. Use
-`make ai-eda-bootstrap-local-smoke` for the
-broader local evidence stack. On a CUDA host, run the generated payload flow
-with:
+`make ai-eda-bootstrap-local-smoke` for the broader local evidence stack,
+including candidate ranking, replay-plan generation, and guarded
+macro-placement replay preflight without OpenLane/OpenROAD execution. For
+concurrent or repeated setup runs, pass a unique
+`AI_EDA_RUN_ID=<machine-or-date>` so generated records do not share the default
+`build/ai_eda/**/validation` directories. If the default `python3` points at a
+broken local environment, override it with `PYTHON=/usr/bin/python3` or your
+managed virtualenv interpreter.
+
+On a CUDA host, run the generated payload flow with:
 
 ```sh
-python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile training-handoff --run-id cuda-host --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --include-torch
+python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile training-handoff --run-id cuda-host --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d --asset aieda-idata --include-torch
 ```
 
 To intentionally pull reviewed assets into ignored local payload directories,
 use explicit asset IDs:
 
 ```sh
-python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile metadata --run-id fetch-reviewed --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --execute-fetch
+python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile metadata --run-id fetch-reviewed --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d --asset aieda-idata --execute-fetch
 ```
 
+Paper/method-only assets such as AssertLLM are recorded as metadata-only
+payloads with hashes under ignored `external/repos/<asset>/payload` paths; no
+paper PDF, model weights, or generated assertions are treated as chip evidence.
+`make ai-eda-cuda-payload` also runs the payload checker, which validates the
+tarball, embedded run plan, selected assets, critical fetch commands, expected
+CUDA outputs, and the no-datasets/no-weights payload boundary.
+
 ## Docker Setup
 
 Docker is the most reproducible starting point for a new machine:

packages/chip/external/README.md

@@ -26,12 +26,23 @@ deterministic E1 gates named in the research plan.
 Fresh-machine setup:
 
 ```sh
-make ai-eda-bootstrap-metadata
-python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile metadata --run-id fetch-reviewed --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d --execute-fetch
-make ai-eda-bootstrap-setup-check
-make ai-eda-bootstrap-local-smoke
+make PYTHON=/usr/bin/python3 AI_EDA_RUN_ID=fresh-host ai-eda-bootstrap-metadata
+make PYTHON=/usr/bin/python3 AI_EDA_RUN_ID=fresh-host ai-eda-backend-preflight
+python3 scripts/ai_eda/bootstrap_ai_eda_stack.py --profile metadata --run-id fetch-reviewed --asset tilos-macroplacement --asset openroad-eda-corpus --asset circuitnet3 --asset chipbench-d --asset openabc-d --asset aieda-idata --execute-fetch
+make PYTHON=/usr/bin/python3 AI_EDA_RUN_ID=fresh-host ai-eda-bootstrap-setup-check
+make PYTHON=/usr/bin/python3 AI_EDA_RUN_ID=fresh-host ai-eda-bootstrap-local-smoke
 ```
 
 Only explicit `--asset` values are fetched. Metadata manifests are tracked;
 payload contents stay ignored under `external/repos/*/payload`,
 `external/datasets/*/payload`, or `external/models/*/payload`.
+Use a unique `AI_EDA_RUN_ID` for each machine or CI job to keep generated
+records and reports isolated under `build/ai_eda/`.
+`ai-eda-backend-preflight` checks optional local backends such as ZigZag,
+Timeloop/Accelergy, RTL-MUL, LLM4DV, AssertLLM, and Fault without installing
+packages, cloning repositories, downloading model weights, or making release
+claims.
+Paper and method-reference entries use metadata-only payloads. For example,
+`python3 scripts/ai_eda/fetch_external_asset.py --asset assertllm --execute`
+writes an ignored provenance record and file hash manifest, not a downloaded
+paper, model, generated assertion, or release artifact.