Ismail Ghallou
82345e0bf3
* feat: split LLM Gateway into two provider catalogs
Renames the existing llmgateway provider to "DevPass (LLM Gateway)" (id
and models unchanged: the aggregated, auto-routed root-model catalog) and
adds llmgateway-providers ("LLM Gateway"): one entry per upstream
provider mapping, addressed as provider/model-id, synced from
/v1/models?mapped=true. The catalog starts empty and is populated by the
scheduled sync automation; the sync refuses to run against a deployment
without the mapped view so it fails loudly instead of syncing wrong ids.
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* fix: apply deployment data on mapped factored entries
Addresses the PR review: brand-new factored mapped entries now carry the
mapping's own capability flags (attachment/tool_call/reasoning and
structured_output) as overrides, translate the deployment's declared
reasoning_efforts into reasoning_options instead of stamping [], prefer
the gateway's served max_output over inherited/authored output limits,
and only fall back to context when the base metadata declares no output.
Adds unit tests for mapped factoring, capability overrides, max_output
preference, and the unprefixed-id refusal guard.
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* chore: seed the llmgateway-providers catalog
The dev branch now rejects providers with zero models, so the empty
.gitkeep-anchored catalog no longer validates. Seed it with a small
representative set generated by the sync (factored, full, duplicate
deployments of one model, capability deltas); the scheduled sync fills
in the rest once the gateway's mapped view is live.
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* fix: honor base and sibling reasoning data on mapped sync
Round 2 of review feedback:
- Factored resyncs no longer stamp context as limit.output when the
gateway omits max_output and the base declares an output to inherit;
the served max_output still wins whenever reported (creates and
resyncs), and reasoning_options now refresh from deployment efforts.
- A deployment whose only accepted effort is "none" is a plain on/off
switch, so it translates to a toggle (matches the lab's control).
- When a deployment declares no efforts, mapped entries reuse the
aggregated llmgateway catalog's curated reasoning_options for the
same root model instead of ending up with []; a curated [] counts as
unknown so a bad first stamp is not sticky. The runner also stops
stamping [] onto factored reasoners whose base metadata already
declares reasoning_options (it would shadow the base's controls).
- perplexity added to the canonical prefixes so Sonar models factor
against their lab metadata; the sonar-pro seed is now override-only.
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* fix: harden mapped sync guards and seed curation
Round 3 of review feedback:
- Both LLM Gateway syncs now reject an empty (or fully filtered)
response instead of authoritatively deleting the catalog through the
delete-missing pass; the every() prefix guard alone passed on [].
- A vision-less deployment also overrides modalities on factored
creates, so attachment=false can no longer coexist with inherited
image input (sonar-pro seed regenerated accordingly).
- Mapped entries copy the interleaved reasoning side-channel from the
aggregated llmgateway catalog when the deployment reasons (same wire
surface); glm-5.1 and kimi-k2.6 seeds now carry it.
- Toggle seeds carry the required leading wire-path comment.
- gpt-5.5 seeds author the 272k context pricing tier so resync
preserves it, matching the first-party and aggregated entries.
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* fix: never author zero limits, enforce vision on modalities
Round 4 of review feedback:
- A missing/zero context_length is no longer written as limit.context=0:
factored entries leave context unset and inherit the base, and
unfactored creates without a positive served context are skipped
(reported via sourceID) instead of publishing unusable limits. Applies
to both the aggregated and mapped builders.
- vision=false now forces non-image input modalities from the mapping
itself instead of trusting the model-level architecture, on both the
factored and unfactored create paths (and the existing-full fallback).
Claude-Session: https://claude.ai/code/session_017pReWhniXJcDL9aiQHqoFQ
* fix: scalable logo, require one mapping per entry
Review round 5: drop the fixed width/height from the new provider logo
(AGENTS.md blocker), and fail the mapped sync loudly when a kept model
does not carry exactly one providers[] mapping instead of letting the
builder silently fall back to noisy supported_parameters defaults.
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
* fix: inherit lab descriptions, author toggle headers
Review round 6: mapped factored resyncs no longer stamp a synthesized
describeModel blurb as a sticky description override (unset keeps
inheriting the lab text, matching merge-gateway/cortecs), and mapped
sync writes now author the required leading wire-path comment on files
that carry a toggle reasoning control via a new optional header on the
translateModel result (an existing on-disk header always wins).
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
* fix: keep mapping flags authoritative on resyncs
Review round 7: mapped existing-entry resyncs (factored and full) now
apply the deployment mapping's reasoning/vision/tools/structured-output
flags with the same authority as creates, so the written booleans and
the reasoning_options derived from them always move together and drift
self-heals hourly; prior curation only fills in where the mapping is
silent. Also documents in the together-ai/kimi-k2.6 seed header why
that pin is intentionally weaker than Together's first-party row (the
gateway serves it with tools/JSON off and a 32k output cap per its own
e2e'd catalog mapping).
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
* fix: realign vision modalities in both directions
Review round 8: mapped resyncs no longer keep a stale text-only
modalities override once the deployment's vision returns — a declared
vision=true clears the override on factored entries (base image/pdf
inputs inherit again) and recomputes from the served architecture on
full entries, mirroring how vision=false already strips them; only a
silent mapping leaves curated modalities untouched.
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
* fix: local perplexity resolution, no zero limits
Review round 9: drop the perplexity entry from the shared
CANONICAL_PROVIDER_PREFIXES (it would silently start factoring other
hosts' standalone perplexity files) — the llmgateway sync now resolves
lab IDs through resolveModelMetadataBaseModel, whose exact models/ path
match covers perplexity without touching other providers. Full-row
resyncs in both builders no longer fall back to the zero/absent
reported context: authored limits only ever carry known-positive
values, an authored 0 on disk counts as unusable, and a full row with
no usable context anywhere fails loudly (skipping would hand the file
to the delete-missing pass).
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
* fix: merge deployment efforts with curated controls
Review round 10: deployment reasoning_efforts now own only the
effort/toggle surface — curated non-effort controls such as
budget_tokens (the same host's $.reasoning.max_tokens path, mirroring
DigitalOcean's sync) survive from the existing file or the aggregated
sibling instead of being wiped on every resync. Mapped creates also
seed cost.tiers from the aggregated sibling's curated tiers, since the
gateway API exposes none and the bulk sync would otherwise author
tiered models at flat long-context rates; authored tiers still win on
resync.
Claude-Session: https://claude.ai/code/session_0131ZfUnTfJrCzygw3wE4bNF
18 lines
291 B
TOML
18 lines
291 B
TOML
base_model = "openai/gpt-5.5"
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name = "GPT-5.5 (Azure)"
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[[reasoning_options]]
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type = "effort"
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values = ["none", "low", "medium", "high", "xhigh"]
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[cost]
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input = 5
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output = 30
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cache_read = 0.5
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[[cost.tiers]]
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tier = { type = "context", size = 272_000 }
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input = 10
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output = 45
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cache_read = 1
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