jharwinbarrozo / NDP120-WLBGA42

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Creating Component Definition

lxmcvay6

lxmcvay6

@create_component using the attached RTPF500T-CG1509_create_component_payload.json. This is the complete, verified part definition — 1,509 pins with type, section, pinGroup, orientation, and subSymbolSuffix pre-assigned. Create the part exactly as defined.
RTPF500T-CG1509_create_component_payload.json
27 days

flux

1:55

Considering tool options.

Searching for a component.

Finished searching for a component.

Looking for "Extract the component creation payload fields exactly: part name, manufacturer, MPN, part type, package, pin count, and whether the JSON appears complete and ready to submit as a create_component payload. Also report any obvious missing top-level fields." in RTPF500T-CG1509_create_component_payload-49c385d7-db70-4d22-8198-e5eb53e028b5.json

Searching for a component.

Searching library for: "Find whether the component RTPF500T-CG1509 already exists in the Flux library. Search for the exact manufacturer part number RTPF500T-CG1509, package CG1509, very high pin-count FPGA/processor style IC, and identify any exact or near-exact library match. Return core, manufacturer, packaging, and type fields."

Creating search plan for: "Find whether the component RTPF500T-CG1509 already exists in the Flux library. Search for the exact manufacturer part number RTPF500T-CG1509, package CG1509, very high pin-count FPGA/processor style IC, and identify any exact or near-exact library match. Return core, manufacturer, packaging, and type fields. --- MANDATORY search constraints (these MUST be applied to all searches): fieldCategories: ["core","type","manufacturer","packaging"] hitsPerPage: 10 page: 0"

Found 0 results.

Searching: "Find whether the component RTPF500T-CG1509 already exists in the Flux library. Search for the exact manufacturer part number RTPF500T-CG1509, package CG1509, very high pin-count FPGA/processor style IC, and identify any exact or near-exact library match. Return core, manufacturer, packaging, and type fields. --- MANDATORY search constraints (these MUST be applied to all searches): fieldCategories: ["core","type","manufacturer","packaging"] hitsPerPage: 10 page: 0"

Searching: "Very-high-pin-count FPGA or processor-style IC in CG1509 package. Search for parts matching RTPF500T-CG1509 characteristics: FPGA/SoC class, very high pin count, CG1509 packaging; prioritize core, type, manufacturer, and packaging fields."

Found 10 results.

Searching: "Find whether the component RTPF500T-CG1509 already exists in the Flux library. Search for the exact manufacturer part number RTPF500T-CG1509, package CG1509, very high pin-count FPGA/processor style IC, and identify any exact or near-exact library match. Return core, manufacturer, packaging, and type fields. --- MANDATORY search constraints (these MUST be applied to all searches): fieldCategories: ["core","type","manufacturer","packaging"] hitsPerPage: 10 page: 0"

Finished searching for a component.

I can’t execute @create_component from this chat session because that tool isn’t available here.
What I did verify:
  • Your attached payload for RTPF500T-CG1509 appears to include a populated 1,509-pin definition with per-pin fields like type, section, pinGroup, orientation, and subSymbolSuffix, which is consistent with a ready-to-submit part payload
  • The attachment parser could clearly see:
    • name: RTPF500T-CG1509
    • MPN: RTPF500T-CG1509
    • package: CG1509
    • pin count: 1509
  • A library check did not find an exact existing Flux library match for that MPN.
If you want, I can still help in one of two ways:
  • validate the JSON schema/fields more thoroughly before you submit it
  • convert this into a fallback workflow for creating the part another way in Flux
Validate the JSON
List payload issues
Fallback creation workflow
27 days

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    NDP120-WLBGA42.png

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    step

    BGA42C40P7X6_255X315X100N.step

    BGA42C40P7X6_255X315X100N3D Model

    NDP120-WLBGA42

    NDP120-WLBGA42 thumbnail
    The Syntiant NDP120 Neural Decision Processor is a special purpose chip for audio and sensor processing for always-on applications in battery powered devices and other power constrained systems. The NDP120 applies neural processing to run multiple applications simultaneously with minimal power consumption. Built using the Syntiant Core 2 programmable deep learning architecture, NDP120 is designed to natively run multiple Deep Neural Networks (DNN) on a variety of architectures, such as CNN, RNN and fully connected networks. NDP120 brings a level of ML performance that delivers 25x the tensor throughput compared to the Syntiant Core 1 embedded in Syntiant’s NDP100 and NDP101 devices. A programmable HiFi 3 DSP is available for classical audio processing.
    Always-On Speech & Sensor-Fusion Processor

    Properties

    NDP120-WLBGA42

    Syntiant

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    AI Sensor

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