Warn when a prompt supplies node inputs that match no declared input

[chelsealong]

Fixes #15669

Problem

validate_inputs() in execution.py iterates only over a node's declared
inputs. Keys present in the prompt's inputs dict that match no declared
required or optional input (a typo, a stale key after a node's inputs were
renamed, or a nested key used where the flat/dotted form is expected) are
silently dropped: no server log line, no validation error, no history
record. The prompt validates, the job runs, and the result is simply the
unconditioned one.

Fix

After valid_inputs is computed, diff the received input keys against it
and log a warning naming the node and the ignored key(s). This is a warning,
not an error, so prompts carrying harmless extra keys keep working exactly
as before — only the silence changes.

Node 6 (MiniMaxH3ReferenceToVideo): ignoring unknown input(s) ref_audios

Test plan

Added tests-unit/execution_test/validate_inputs_unknown_test.py, which
registers a stub node with a single declared input, calls
execution.validate_inputs() with an extra unrecognized key, and asserts
validation still succeeds while a warning naming the unknown key is logged.

Confirmed the new test fails without the fix (via
git checkout HEAD~1 -- execution.py) and passes with it:

$ python -m pytest tests-unit/execution_test/validate_inputs_unknown_test.py -v
tests-unit/execution_test/validate_inputs_unknown_test.py::test_unknown_input_is_warned_and_ignored PASSED
1 passed in 5.09s

Ran the full tests-unit suite (with tests-unit/requirements.txt
installed): 1220 passed, 10 skipped. tests-unit/execution_test/preview_method_override_test.py
fails to collect in this sandbox both before and after this change — it
imports comfy.model_management at module scope, which probes
torch.cuda.current_device() without --cpu being set, and this sandbox
has no CUDA. Unrelated to this change.

ruff check execution.py tests-unit/execution_test/validate_inputs_unknown_test.py passes.

This change and its test were written with AI assistance (Claude Code).

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**/*

📄 CodeRabbit inference engine (AGENTS.md)

**/*: Keep changes small, direct, and limited to the narrowest necessary code path and smallest number of files.
Prefer practical fixes, minimal dependencies, and existing repository patterns; remove obsolete, dead, unreachable, or unused code.
Preserve existing APIs, node names, model-loading behavior, file layout, and workflow compatibility unless replacement is explicitly intended.
Core ComfyUI must not add outbound internet requests, telemetry, tracking, reporting, remote configuration, or background network activity. User-authorized model downloads are limited to the requested artifact and must exclude telemetry and unrelated metadata.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py

**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

**/*.py: Keep state and capability flags on the object that owns the behavior. Prefer explicit parent-owned attributes over probing child objects with getattr; use child checks only when the child owns the delegated behavior.
Preserve shared method signatures, argument order, return shapes, side effects, and error behavior unless every affected caller and interface is intentionally updated.
Do not add unused compatibility parameters, flags, attributes, constructor options, or model-specific options to shared helpers; keep one-off behavior at the integration boundary.
Normalize third-party return conventions at integration boundaries so core code receives the expected type and shape; avoid undocumented caller-side unwrapping.
Do not add torch.no_grad, torch.inference_mode, or inference-mode wrappers. Do not add model freeze/unfreeze toggles; only disable globally enabled inference mode when a training path requires gradients.
Remove inference-only training behavior such as dropout while preserving checkpoint and state-dict compatibility; use nn.Identity when deleting a module would alter keys or ordering.
Keep imports at module scope except established optional-backend probes or imports required to avoid cycles; avoid unnecessary try/except blocks and use specific exceptions with useful fallbacks.
Do not add workarounds for unsupported library versions, especially PyTorch exception-and-float-cast retries, unless a comment names the exact versions still requiring them.
Let unsupported model formats, invalid quantization metadata, and bad states fail with clear errors instead of silently degrading output.
Match local style, keep comments sparse and useful, and remove comments that merely restate obvious code.
Treat dtype, device placement, VRAM use, and offloading as correctness concerns across CPU, CUDA, ROCm, MPS, DirectML, XPU, NPU, and low-VRAM environments.
Prefer existing ComfyUI and Comfy Kitchen operations, quantization helpers, cast/offload helpe...

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py

**/*.{py,json}

📄 CodeRabbit inference engine (AGENTS.md)

Treat legacy combo, io.Combo, and io.DynamicCombo values affecting filesystem access as untrusted; revalidate them at load/save boundaries with folder_paths, containment checks, or fixed allowlists.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py

**/*.{py,md,txt,json}

📄 CodeRabbit inference engine (AGENTS.md)

Keep warning and info messages short and actionable, remove noisy or misleading logging, and make documentation edits concise, factual, and tied to changed behavior.

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🧠 Learnings (1)

📚 Learning: 2026-02-21T14:01:41.482Z

Learnt from: pythongosssss
Repo: Comfy-Org/ComfyUI PR: 12555
File: comfy_extras/nodes_glsl.py:719-724
Timestamp: 2026-02-21T14:01:41.482Z
Learning: In PyOpenGL, bare Python scalars can be accepted for 1-element array parameters by NumberHandler. This means you can pass an int/float directly to OpenGL texture deletion (e.g., glDeleteTextures(tex)) without wrapping in a list. Verify function-specific expectations and ensure types match what the OpenGL call expects; use explicit lists only when the API requires an array.

Applied to files:

• tests-unit/execution_test/validate_inputs_unknown_test.py

🔇 Additional comments (1)

tests-unit/execution_test/validate_inputs_unknown_test.py (1)

39-43: LGTM!

---

📝 Walkthrough

Walkthrough

validate_inputs now detects prompt keys that are absent from a node’s required and optional input declarations. It logs a warning for each unknown input and continues validating declared inputs. A CPU-mode unit test covers an extra ref_audios key and verifies successful validation, no errors, and a warning.

Merge Risk: ⚪ Minimal · up to 807b8

The PR adds a warning for ignored prompt inputs while preserving existing validation behavior; it is a localized change with no actionable merge-blocking risk remaining after normal checks and review.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely describes the added warning for undeclared node input keys.
Description check	✅ Passed	The description explains the silent unknown-input problem, the warning-based fix, and the related test coverage.
Linked Issues check	✅ Passed	The changes meet issue #15669 by warning about unknown inputs while preserving non-fatal validation and execution behavior.
Out of Scope Changes check	✅ Passed	The code and test changes remain focused on detecting and warning about unknown prompt inputs.

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Actionable comments posted: 1

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Inline comments:
In `@tests-unit/execution_test/validate_inputs_unknown_test.py`:
- Line 39: Update the warning assertion in the focused validation test to
require both the ref_audios field name and the node identifier “Node 1
(StubNodeForUnknownInputTest)” in the captured warning message, while preserving
the existing successful-validation and no-error checks.

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📓 Path-based instructions (5)

**/*

📄 CodeRabbit inference engine (AGENTS.md)

**/*: Keep changes small, direct, and limited to the narrowest necessary code path and smallest number of files.
Prefer practical fixes, minimal dependencies, and existing repository patterns; remove obsolete, dead, unreachable, or unused code.
Preserve existing APIs, node names, model-loading behavior, file layout, and workflow compatibility unless replacement is explicitly intended.
Core ComfyUI must not add outbound internet requests, telemetry, tracking, reporting, remote configuration, or background network activity. User-authorized model downloads are limited to the requested artifact and must exclude telemetry and unrelated metadata.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

**/*.py: Keep state and capability flags on the object that owns the behavior. Prefer explicit parent-owned attributes over probing child objects with getattr; use child checks only when the child owns the delegated behavior.
Preserve shared method signatures, argument order, return shapes, side effects, and error behavior unless every affected caller and interface is intentionally updated.
Do not add unused compatibility parameters, flags, attributes, constructor options, or model-specific options to shared helpers; keep one-off behavior at the integration boundary.
Normalize third-party return conventions at integration boundaries so core code receives the expected type and shape; avoid undocumented caller-side unwrapping.
Do not add torch.no_grad, torch.inference_mode, or inference-mode wrappers. Do not add model freeze/unfreeze toggles; only disable globally enabled inference mode when a training path requires gradients.
Remove inference-only training behavior such as dropout while preserving checkpoint and state-dict compatibility; use nn.Identity when deleting a module would alter keys or ordering.
Keep imports at module scope except established optional-backend probes or imports required to avoid cycles; avoid unnecessary try/except blocks and use specific exceptions with useful fallbacks.
Do not add workarounds for unsupported library versions, especially PyTorch exception-and-float-cast retries, unless a comment names the exact versions still requiring them.
Let unsupported model formats, invalid quantization metadata, and bad states fail with clear errors instead of silently degrading output.
Match local style, keep comments sparse and useful, and remove comments that merely restate obvious code.
Treat dtype, device placement, VRAM use, and offloading as correctness concerns across CPU, CUDA, ROCm, MPS, DirectML, XPU, NPU, and low-VRAM environments.
Prefer existing ComfyUI and Comfy Kitchen operations, quantization helpers, cast/offload helpe...

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

**/*.{py,json}

📄 CodeRabbit inference engine (AGENTS.md)

Treat legacy combo, io.Combo, and io.DynamicCombo values affecting filesystem access as untrusted; revalidate them at load/save boundaries with folder_paths, containment checks, or fixed allowlists.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

**/*.{py,md,txt,json}

📄 CodeRabbit inference engine (AGENTS.md)

Keep warning and info messages short and actionable, remove noisy or misleading logging, and make documentation edits concise, factual, and tied to changed behavior.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

**

⚙️ CodeRabbit configuration file

**: IMPORTANT: Only comment on issues directly introduced by this PR's code changes.
Treat AGENTS.md as mandatory repository policy, not optional style guidance.
Flag PR changes that violate AGENTS.md even when the code is otherwise functional.
In particular, enforce architecture boundaries, dtype/device/memory rules,
interface contracts, import style, no unnecessary try/except blocks, no inline
imports, no outbound internet paths in core ComfyUI, and narrow scoped fixes.
Prefer direct findings over suggestions when a rule is violated. Only ignore
AGENTS.md when it clearly conflicts with a newer explicit maintainer instruction
in the PR.
Do NOT flag pre-existing issues in code that was merely moved, re-indented,
de-indented, or reformatted without logic changes. If code appears in the diff
only due to whitespace or structural reformatting (e.g., removing a with: block),
treat it as unchanged. Contributors should not feel obligated to address
pre-existing issues outside the scope of their contribution.

Files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

🧠 Learnings (1)

📚 Learning: 2026-02-21T14:01:41.482Z

Learnt from: pythongosssss
Repo: Comfy-Org/ComfyUI PR: 12555
File: comfy_extras/nodes_glsl.py:719-724
Timestamp: 2026-02-21T14:01:41.482Z
Learning: In PyOpenGL, bare Python scalars can be accepted for 1-element array parameters by NumberHandler. This means you can pass an int/float directly to OpenGL texture deletion (e.g., glDeleteTextures(tex)) without wrapping in a list. Verify function-specific expectations and ensure types match what the OpenGL call expects; use explicit lists only when the API requires an array.

Applied to files:

• tests-unit/execution_test/validate_inputs_unknown_test.py
• execution.py

🔇 Additional comments (1)

execution.py (1)

898-900: LGTM!

[chelsealong]

Strengthened the test assertion per CodeRabbit's suggestion: it now checks that Node 1 (StubNodeForUnknownInputTest) appears in the warning alongside ref_audios, not just the key name. Ran the full tests-unit/execution_test suite (68 passed) plus ruff check, both green.