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Force every LLM stage onto DeepSeek and stop Anthropic Console uploads.

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PROVIDER_*=anthropic and Claude fallbacks now coerce to DeepSeek, skills stay local, and default_model_version bumps without upload_skills.py.

Co-authored-by: Cursor <cursoragent@cursor.com>
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michele
2026-09-10 22:56:49 +02:00
co-authored by Cursor
parent 7aed64cae5
commit 3e43bb6ecb
9 changed files with 109 additions and 72 deletions
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README.md
+2 -4
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@@ -2,7 +2,7 @@
Pinscope reviews schematics the way a good senior engineer does: with the datasheets open.
This tree is adapted from [manvalan/pinscope](https://github.com/manvalan/pinscope) so the pipeline talks to the **DeepSeek API** (`deepseek-flash`, with legacy aliases still accepted) instead of requiring an Anthropic Console skill upload. Anthropic and Gemini remain optional fallbacks.
This tree is adapted from [manvalan/pinscope](https://github.com/manvalan/pinscope) so the pipeline talks to the **DeepSeek API** (`deepseek-flash`, with legacy aliases still accepted). Do not use Anthropic.
Give it a netlist, a BOM, and your datasheet PDFs. It builds a graph of your design, reads each IC's datasheet, and checks the circuit around every part against what the manufacturer actually specifies — reference application, pin functions, absolute maximums, recommended operating conditions. Every finding points at the datasheet page that backs it up.
@@ -55,9 +55,7 @@ cd frontend && npm install
NEXT_PUBLIC_API_URL=http://127.0.0.1:18741 npm run dev -- --port 18742 --hostname 127.0.0.1
```
Open the frontend URL, create a project, and feed it the netlist and BOM from `simple_project/`. Datasheets are fetched automatically (LCSC, TI, optional DigiKey); you can still drop in PDFs by hand. Fetched PDFs and extracted pin tables land in the **Library** (sidebar) and are reused on later projects. Everything runs locally against your own key; projects and the extraction library live in `data/`.
Anthropic Console Skills (`python3 scripts/upload_skills.py --update`) are optional and only needed if you set `PROVIDER_DEFAULT=anthropic`.
Open the frontend URL, create a project, and feed it the netlist and BOM from `simple_project/`. Datasheets are fetched automatically (LCSC, TI, optional DigiKey); you can still drop in PDFs by hand. Fetched PDFs and extracted pin tables land in the **Library** (sidebar) and are reused on later projects. Everything runs locally against your own DeepSeek key; projects and the extraction library live in `data/`. Skills are local `skills/*/SKILL.md` — do not run `scripts/upload_skills.py`.
## Docker