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The codex vision gate accepted any gpt-5 prefix, which included the gpt-5-codex specialist slugs that the surrounding contract documents as text-only. Each lab OCR upload on such a slug burned a doomed image attempt before falling back. Exclude the -codex slugs from the gate so multimodal gpt-5.x slugs still report vision while the codex specialists stay on the text path.
149 lines
5.7 KiB
TypeScript
149 lines
5.7 KiB
TypeScript
/**
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* v1.18.9 — vision-capability resolution for the Lab-OCR ingestion path.
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*
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* The provider abstraction is text-only by default; only some providers +
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* models can read an uploaded photo / PDF. This module is the single source of
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* truth for "can the user's configured provider read images?", so the upload
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* route and the capability probe endpoint agree.
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*
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* Capability is a function of (providerType, model), evaluated against the
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* documented vision allowlists below. It is PURE and presence-only — it never
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* decrypts a key, constructs a client, or probes liveness. A `true` here can
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* still resolve to a dead provider at call time (revoked key, unreachable
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* local host); the route surfaces that as an extract failure.
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*/
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/**
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* Anthropic vision models. The Messages API `image` + `document` blocks are
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* accepted by the whole Claude 3 family (3 / 3.5 / 3.7) and the Claude 4
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* family. An older `claude-2*` / `claude-instant*` pin is text-only.
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*
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* The bare `claude-3-opus` / `claude-3-sonnet` / `claude-3-haiku` prefixes are
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* listed explicitly: a self-hoster pinned to e.g. `claude-3-opus-20240229`
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* reads images, but the `claude-3-5` prefix does not match it.
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*/
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function anthropicSupportsVision(model: string): boolean {
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const m = model.toLowerCase();
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return (
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m.startsWith("claude-3-opus") ||
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m.startsWith("claude-3-sonnet") ||
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m.startsWith("claude-3-haiku") ||
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m.startsWith("claude-3-5") ||
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m.startsWith("claude-3.5") ||
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m.startsWith("claude-3-7") ||
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m.startsWith("claude-3.7") ||
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m.startsWith("claude-sonnet-4") ||
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m.startsWith("claude-opus-4") ||
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m.startsWith("claude-haiku-4")
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);
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}
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/**
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* OpenAI vision models (also covers the operator's admin key + Codex when it
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* runs an OpenAI model — though Codex is excluded by `providerType`). `gpt-4o`,
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* `gpt-4.1`, `gpt-4-turbo`, and the `o*` reasoning models read image content;
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* `gpt-3.5*` and the legacy `gpt-4` (non-turbo) 400 on an image block.
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*/
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function openaiSupportsVision(model: string): boolean {
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const m = model.toLowerCase();
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return (
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m.startsWith("gpt-4o") ||
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m.startsWith("gpt-4.1") ||
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m.startsWith("gpt-4-turbo") ||
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m.startsWith("o1") ||
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m.startsWith("o3") ||
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m.startsWith("o4")
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);
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}
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/**
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* Codex (ChatGPT-OAuth) vision models. Image INPUT is reachable over the
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* `codex/responses` endpoint (docs/codex-protocol-spec.md §2b) on a multimodal
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* slug — no API key needed. The accepted GPT-5.x line is text+vision; the older
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* `-codex` specialist slugs and the legacy `gpt-4`-class non-multimodal pins
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* are text-only. The slug we test is the codex client's resolved working slug
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* (cached or chain head), so a slug rotation onto a non-vision model degrades
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* to false rather than 400-ing the user at the image block.
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*
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* `gpt-4o` / `o*` are folded in for completeness (a future codex slug could
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* land there), reusing the same multimodal families the OpenAI gate accepts.
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*/
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function codexSupportsVision(model: string): boolean {
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const m = model.toLowerCase();
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return (
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// GPT-5.x line is multimodal (text + vision) — but the `-codex` specialist
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// slugs (e.g. gpt-5-codex) are text-only, so they must not claim vision or
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// every lab-OCR upload burns a doomed image attempt before falling back.
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(m.startsWith("gpt-5") && !m.includes("-codex")) ||
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m.startsWith("gpt-4o") ||
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m.startsWith("gpt-4.1") ||
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m.startsWith("gpt-4-turbo") ||
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m.startsWith("o1") ||
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m.startsWith("o3") ||
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m.startsWith("o4")
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);
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}
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/**
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* Logical provider tags the OCR path reasons about. Mirrors the
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* `ProviderChainType` vocabulary plus the legacy `admin-key` single-provider
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* tag `resolveProvider`'s admin fallback returns.
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*/
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export type VisionProviderType =
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| "anthropic"
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| "openai"
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| "admin-openai"
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| "admin-key"
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| "local"
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| "codex"
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| "none";
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/**
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* Pure capability check over a (providerType, model) pair.
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*
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* - anthropic → vision when the model is a 3.5+/4 family pin.
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* - openai / admin-* → vision when the model is a gpt-4o/4.1/turbo/o* pin.
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* - local → trust-by-default true: the operator opted in by
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* configuring a self-hosted model and we cannot sniff
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* its capabilities; a non-vision local model surfaces
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* a clear extract failure rather than a silent gate.
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* - codex → vision when the resolved codex slug is a
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* multimodal model (GPT-5.x / gpt-4o-class). Image
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* input rides the ChatGPT plan — no API key. A
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* non-multimodal slug (or unknown) → false.
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* - none → false (nothing configured).
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*/
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export function supportsVisionForConfig(
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providerType: VisionProviderType,
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model: string | null,
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): boolean {
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switch (providerType) {
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case "anthropic":
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return model ? anthropicSupportsVision(model) : false;
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case "openai":
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case "admin-openai":
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case "admin-key":
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return model ? openaiSupportsVision(model) : false;
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case "local":
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return true;
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case "codex":
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return model ? codexSupportsVision(model) : false;
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case "none":
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default:
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return false;
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}
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}
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/**
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* Whether PDFs are supported for a given provider. Only Anthropic accepts a
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* native `document` block over the Messages API; OpenAI / local read images
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* only (a server-side rasterizer is a deferred follow-up). The route uses this
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* to reject a PDF upload with a clear "use a photo / configure Claude" message
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* on a non-Anthropic provider.
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*/
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export function supportsPdfForProvider(
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providerType: VisionProviderType,
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): boolean {
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return providerType === "anthropic";
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}
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