Remove sanitizeRequest and its call sites so the client no longer
strips sampling parameters based on the model registry. Unsupported
knobs are now avoided by setting the config carefully per model
rather than silently mutating outgoing requests.
Signed-off-by: Émile Ré <emile@probo.com>
The common-pattern enrichment and tracker-mapping agents run on
reasoning models such as gpt-5-nano, which reject an explicit
temperature and fail the whole request with a 400 ("Unsupported
value: 'temperature' does not support 0.1 with this model"). The
model registry already records this capability, but nothing
consulted it before dispatch, and dated provider snapshots like
gpt-5-nano-2025-08-07 did not resolve in the registry.
Resolve dated snapshots to their undated base model in registry
Lookup, and sanitize each chat completion request in the LLM
client by omitting the sampling knobs the target model does not
accept (temperature, top_p, frequency/presence penalties, stop).
Unknown models are left untouched, so models absent from the
registry keep their current behavior.
Signed-off-by: Émile Ré <emile@probo.com>
Expand mixed inline/multiline function calls so each argument
is on its own line, matching the one-argument-per-line rule.
Signed-off-by: Sacha Al Himdani <sacha@getprobo.com>
