fix(ai): bound one completion call to two requests

A gateway that refuses reasoning_effort outright (LiteLLM in front of
Ollama: "does not support parameters: ['reasoning_effort']") in front of a
model that reasons without answering sent requests until something outside
stopped it. The answerless rule learned to ask with "none", the refusal of
that "none" was learned as "send no field" over it, the next request came
back answerless again, and each lesson undid the other.

Each call of the Local and the OpenAI-compatible gateway clients now carries
one request budget through every repeat (request-hops.ts): at most two
requests, after which the call ends with the failure it has. A structural
guard holds both clients to sending only through the budget and to handing
it to every repeat.

The refusal is now learned as what it is: an endpoint that refuses the
field, in front of a model already seen reasoning unasked, keeps both facts
(FIELD_REFUSED_REASONS_REGARDLESS), so it is never asked with "none" again
and keeps its thinking room. An answerless reply from an endpoint that
refuses the field is final. When the refused "none" was the repeat of an
answerless reply, the call fails as reasoning_only, which is what it ran
into. The refusal handling of both clients lives in wire-refusal.ts.

A status run that hits its bound now aborts the call it gave up on instead
of leaving it running detached.

Refs #1279
This commit is contained in:
Marc-André Bombeck committed 2026-10-25 00:11:42 +02:00
1 parent 3984ceb01c
commit 73cee35917
24 files changed
+1058 -296

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"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -1196,6 +1201,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"Du schreibst eine kurze, persönliche Einschätzung zu EINER Gesundheitsmetrik dieses Nutzers. Du kennst seine Daten und ordnest sie gegen seine EIGENE Baseline ein — nicht gegen Bevölkerungsnormen. Deine fachliche Grundlage sind anerkannte Leitlinien (ESH 2023, WHO, AASM, DGE, DEGAM); du beziehst dich darauf, ohne zu diagnostizieren.",
"",
@@ -1399,6 +1405,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -25,6 +25,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"Du schreibst eine kurze, persönliche Einschätzung zu EINER Gesundheitsmetrik dieses Nutzers. Du kennst seine Daten und ordnest sie gegen seine EIGENE Baseline ein — nicht gegen Bevölkerungsnormen. Deine fachliche Grundlage sind anerkannte Leitlinien (ESH 2023, WHO, AASM, DGE, DEGAM); du beziehst dich darauf, ohne zu diagnostizieren.",
"",
@@ -227,6 +228,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -416,6 +418,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -644,6 +647,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -1054,6 +1058,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -1191,6 +1196,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"Du schreibst eine kurze, persönliche Einschätzung zu EINER Gesundheitsmetrik dieses Nutzers. Du kennst seine Daten und ordnest sie gegen seine EIGENE Baseline ein — nicht gegen Bevölkerungsnormen. Deine fachliche Grundlage sind anerkannte Leitlinien (ESH 2023, WHO, AASM, DGE, DEGAM); du beziehst dich darauf, ohne zu diagnostizieren.",
"",
@@ -1393,6 +1399,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -25,6 +25,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"Du schreibst eine kurze, persönliche Einschätzung zu EINER Gesundheitsmetrik dieses Nutzers. Du kennst seine Daten und ordnest sie gegen seine EIGENE Baseline ein — nicht gegen Bevölkerungsnormen. Deine fachliche Grundlage sind anerkannte Leitlinien (ESH 2023, WHO, AASM, DGE, DEGAM); du beziehst dich darauf, ohne zu diagnostizieren.",
"",
@@ -231,6 +232,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -431,6 +433,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -670,6 +673,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",
@@ -1113,6 +1117,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"Du schreibst eine kurze, persönliche Einschätzung zu EINER Gesundheitsmetrik dieses Nutzers. Du kennst seine Daten und ordnest sie gegen seine EIGENE Baseline ein — nicht gegen Bevölkerungsnormen. Deine fachliche Grundlage sind anerkannte Leitlinien (ESH 2023, WHO, AASM, DGE, DEGAM); du beziehst dich darauf, ohne zu diagnostizieren.",
"",
@@ -1326,6 +1331,7 @@
],
"responseFormat": "json",
"seed": 1618033,
"signal": {},
"system": [
"You are writing a short, personal assessment of ONE of this user's health metrics. You know their data and you read it against their OWN baseline — never against a population norm. Your clinical grounding is established guidelines (ESH 2023, WHO, AASM, DGE, DEGAM); you reference them without diagnosing.",
"",