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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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dacorvo/transformers-coding-session-captures

HTTP captures of agent ↔ model interactions — one parquet row per /v1/chat/completions call. Produced by agentcap.

Native session traces for the same runs live in companion datasets named transformers-coding-session-<agent>-traces. They're all grouped under the transformers-coding-session Collection alongside this dataset. Join on run_id.

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from datasets import load_dataset

ds = load_dataset("dacorvo/transformers-coding-session-captures", split="train")

Schema

column description
run_id agentcap run id; matches the per-run folder in the traces dataset
request_id UUID minted by the capture proxy
model Model id from the captured request body
captured_at Epoch seconds when the request was captured
request Raw OpenAI request body, JSON-stringified
response Raw OpenAI response body, JSON-stringified (or {"stream": true, "raw": ...} for SSE)
served_by Per-response X-Served-By header (HF Router sub-provider routing)
served_build_info Per-response X-Build-Info header
served_model Per-response body-echoed model
provider Derived from the proxy upstream URL (constant per file)
upstream_url Proxy upstream URL at capture time (constant per file)

request and response are JSON strings; consumers json.loads(...) them. To recover per-message token ranges, render request.messages through the model's chat template yourself — transformers.AutoTokenizer.apply_chat_template.

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