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Datasets:
ppak10
/
Agentic-SLS-Knowledge

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Formats:
json
Size:
< 1K
Tags:
sls
3d-printing
additive-manufacturing
inova-mk1
agents
Libraries:
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pandas
Polars
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xet
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The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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SLS-Knowledge

Knowledge corpus for SLS printing — the Inova MK1 specifically and selective laser sintering in general: technical data sheets, machine data, parameter translation notes, and (as the agentic system evolves) knowledge the agents themselves write down and maintain.

This is also the runtime knowledge base of the Inova MK1 agentic SLS system: the reference_list/reference_get MCP tools serve source/*.md directly to every agent harness. The parent repo pins this repo's commit as a submodule, so the exact corpus state agents saw at any experiment is reconstructible.

  • source/*.md — curated documents (markdown + title/summary frontmatter) — these are what the agents' reference_* tools serve
  • source/materials/<powder>/ — original manufacturer documents, one folder per powder (currently the official Formlabs TDS PDFs for all seven Fuse-series SLS powders: Nylon 12, Nylon 12 GF, Nylon 12 White, Nylon 12 Tough, Nylon 11, Nylon 11 CF, TPU 90A)
  • data/knowledge.jsonl — processed, load_dataset-ready form of the markdown corpus (scripts/knowledge/01_extract.py)

Current documents: Formlabs Nylon 12 GF TDS values + measured baselines (the optimization targets), Fuse 1 → Inova MK1 parameter translation, Inova print-profile conventions.
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