Files
dobetternorge-tools/includes
daveadmin a1a7f442a7 Deep Research: NDJSON streaming so the connection survives long runs
Previously the endpoint returned a single JSON object at the end. Apache+
PHP-FPM buffers the entire body until PHP exits, so a 160s azure_full run
caused the browser to drop the fetch as "Failed to fetch" while the server
was still synthesising — the response then arrived to a dead socket.

Switch to application/x-ndjson with one event per line. The endpoint emits
'progress', 'start', 'step' (running/complete/warning/error), 'subq', and a
final 'final' event carrying the full result payload. Output buffering is
explicitly disabled so each line flushes through Apache as soon as the
agent emits it.

DbnDeepResearchAgent::run() now accepts an optional ?callable $emit and
fires step:running before each step + step:complete after, plus a subq
event per sub-question retrieval round.

JS reads response.body as a stream, splits on newlines, updates the
trace panel live, and renders the final result when the final event
arrives. Status pill shows live progress detail (e.g. "Synthesising with
Azure gpt-4o — this is the slowest step…").

Engine row in the form now shows expected duration per engine
(~15-45s mini, ~60-180s full, ~30-90s GPU) so users know what they're in
for before clicking Run.
2026-05-15 10:47:35 +02:00
..