With the Anthropic provider, an import sometimes reported that no
reservations were found even though the document held one and the model had
extracted it. Nothing was logged, because from the code's point of view
nothing failed: the value simply was not an array, and the check that only
accepted arrays returned an empty list. What reached the user was
indistinguishable from a document with no booking in it.
The tool declares `reservations` as an array and the call forces the tool, so
it usually is one. Sometimes the model serialises the same content as a
JSON-encoded string instead — either a stringified array, or stringified and
wrapped in `{ reservations: ... }` again. Because that is a serialisation
choice made per call, the same file imported fine on one attempt and came
back empty on the next.
Normalising is now one function next to the lenient JSON parser, and the
OpenAI-compatible client uses it too — it had grown its own version of the
object-unwrap half, and two copies of this rule would drift.
It unwraps a string once and no further. A value that is still not a list
after that is not a list, and reaching deeper would start turning prose into
bookings.
Reported with the exact file and lines, and with both observed shapes.
Closes#1968
Gemini reached through the OpenAI-compatible endpoint returns
JavaScript-object-literal output — single-quoted strings, unquoted keys,
trailing commas — which strict JSON.parse rejects. The reservation list
then came back empty and the booking-import UI showed nothing (#1638).
Add a shared parseLenientJson() that tries strict JSON first and falls
back to JSON5 (which accepts exactly that relaxed superset), and route
both the OpenAI-compatible and Ollama-native parse paths through it,
replacing the two identical strict parsers.
Maurice