feat(ai-client): multi-provider compat — native Anthropic/Google + URL tolerance
- TEXT/VISION: add native Anthropic & Google Gemini paths via Vercel AI SDK, selectable through TEXT_PROVIDER / VISION_PROVIDER (default openai_compatible) - IMAGE: expand to openai (gpt-image) / google (Nano Banana) via AI SDK alongside the existing Runware task-array and OpenAI-compatible REST paths - normalizeBaseUrl: tolerate URLs with/without /v1 (or /chat/completions); append the per-protocol version segment only for bare hosts - config: readProvider() reads *_PROVIDER; types: ProviderProtocol + provider? - deps: @ai-sdk/anthropic, @ai-sdk/google; docs in .env.example + README Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
yuanzonghao
+28
-5
@@ -3,14 +3,18 @@
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# Recommended setup: Xiaomi MiMo Token Plan for TEXT / VISION / TTS
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# (one API key covers all three) + Runware for IMAGE (FLUX.2 [klein]).
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#
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# TEXT / VISION use any OpenAI-compatible endpoint (any OpenAI-
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# compatible host works: OpenRouter, OpenAI, Anthropic via proxy,
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# Gemini, DeepSeek, Ollama, ...).
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# TEXT / VISION default to any OpenAI-compatible endpoint, and can switch to
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# native Anthropic or Google Gemini via TEXT_PROVIDER / VISION_PROVIDER.
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# TTS uses Xiaomi MiMo's own voice design / clone protocol
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# (not OpenAI-compatible; appends -voicedesign / -voiceclone).
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#
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# IMAGE uses Runware's own task-array protocol (not OpenAI-compatible);
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# the adapter posts an `imageInference` task to IMAGE_BASE_URL.
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# IMAGE supports Runware (its own task-array protocol), OpenAI (gpt-image),
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# and Google Gemini (Nano Banana) via IMAGE_PROVIDER.
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#
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# *_PROVIDER (optional) selects the wire protocol; leave unset for the
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# OpenAI-compatible default (image is auto-detected from the URL). Base URLs
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# tolerate a missing or extra /v1 (or a trailing /chat/completions) — the
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# engine normalizes them.
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# =============================================================
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# ---- 1. Text LLM · scene director ----------------------------------
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@@ -26,6 +30,10 @@
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TEXT_BASE_URL=https://api.deepseek.com/v1
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TEXT_API_KEY=sk-xxx
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TEXT_MODEL=deepseek-v4-flash
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# TEXT_PROVIDER: openai_compatible (default) | anthropic | google
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# anthropic → TEXT_BASE_URL=https://api.anthropic.com TEXT_MODEL=claude-sonnet-4-6
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# google → TEXT_BASE_URL=https://generativelanguage.googleapis.com TEXT_MODEL=gemini-3.5-flash
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# TEXT_PROVIDER=openai_compatible
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# ---- 2. Image generator (renders the scene background) -------------
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# Recommended: Runware + FLUX.2 [klein] 9B KV — distilled 4-step model,
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@@ -36,12 +44,27 @@ TEXT_MODEL=deepseek-v4-flash
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IMAGE_BASE_URL=https://api.runware.ai/v1
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IMAGE_API_KEY=runware-xxx
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IMAGE_MODEL=runware:400@6
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# IMAGE_PROVIDER: runware (auto-detected for runware.ai) | openai_compatible
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# | openai | google
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# openai → gpt-image, supports referenceImages (character/scene continuity).
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# IMAGE_BASE_URL=https://api.openai.com IMAGE_MODEL=gpt-image-1
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# google → Gemini "Nano Banana" (Imagen is EOL 2026-06-24, do not use it).
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# IMAGE_BASE_URL=https://generativelanguage.googleapis.com
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# IMAGE_MODEL=gemini-2.5-flash-image
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# NOTE: openai/google return raw bytes → inlined as a data: URI for the session
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# (heavier per-call transport than Runware's UUID re-reference loop). Runware
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# stays fastest + cheapest for the scene-by-scene flow.
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# IMAGE_PROVIDER=runware
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# ---- 3. Vision model · multimodal click interpretation -------------
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# Recommended: MiMo V2.5 — multimodal, accepts image_url content parts.
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VISION_BASE_URL=https://token-plan-sgp.xiaomimimo.com/v1
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VISION_API_KEY=tp-xxx
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VISION_MODEL=mimo-v2.5
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# VISION_PROVIDER: openai_compatible (default) | anthropic | google
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# anthropic → VISION_BASE_URL=https://api.anthropic.com VISION_MODEL=claude-sonnet-4-6
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# google → VISION_BASE_URL=https://generativelanguage.googleapis.com VISION_MODEL=gemini-3.5-flash
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# VISION_PROVIDER=openai_compatible
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# ---- 4. TTS · Xiaomi MiMo (optional — leave blank to disable) ------
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# Per-character voice design → clone, with per-line delivery direction.
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@@ -125,7 +125,7 @@ InfiPlot 同时支持部署到 Vercel 与 Cloudflare Workers。Cloudflare 部署
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## 配置教程
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InfiPlot 会与四类模型供应商通信。**文本（Text）和视觉（Vision）都使用 OpenAI 兼容的接口**，可以自由搭配。**图像（Image）**目前接入 **Runware**（其自有的 task-array 协议，并非 OpenAI 兼容）。**语音（TTS）**使用**小米 MiMo** 自有的音色设计/克隆协议——支持角色级音色设计、克隆与逐行演绎指导。
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InfiPlot 会与四类模型供应商通信。**文本（Text）和视觉（Vision）** 默认使用 OpenAI 兼容接口，也可原生切换到 **Anthropic** 或 **Google Gemini**。**图像（Image）** 支持 **Runware**（其自有 task-array 协议）、**OpenAI**（`gpt-image`）与 **Google Gemini**（Nano Banana）。**语音（TTS）**使用**小米 MiMo** 自有的音色设计/克隆协议——支持角色级音色设计、克隆与逐行演绎指导。
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**1. 选择你的供应商**
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@@ -136,6 +136,18 @@ InfiPlot 会与四类模型供应商通信。**文本（Text）和视觉（Visio
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| Vision · 点击解读 | `VISION_BASE_URL` `VISION_API_KEY` `VISION_MODEL` | ✅ | Google 的 `gemini-3.5-flash` |
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| TTS · 角色配音 | `TTS_BASE_URL` `TTS_API_KEY` `TTS_SPEECH_MODEL` | 可选 —— 留空则静音运行 | 小米 MiMo 的 `mimo-v2.5-tts` |
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> **可选 · 指定接口协议**：每类模型都可加一个 `*_PROVIDER` 变量（`TEXT_PROVIDER` / `VISION_PROVIDER` / `IMAGE_PROVIDER`）显式选择接口协议。**不设则保持向后兼容**——文本/视觉默认走 OpenAI 兼容接口，图像按 `*_BASE_URL` 自动判断（`runware.ai` → Runware，否则 OpenAI 兼容）。
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>
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> | 取值 | 适用 | 说明 |
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> |---|---|---|
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> | `openai_compatible`（默认） | Text · Vision · Image | OpenAI Chat Completions / `/images/generations` |
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> | `anthropic` | Text · Vision | 原生 Anthropic Messages 接口 |
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> | `google` | Text · Vision · Image | 原生 Gemini；图像用 Nano Banana 系（如 `gemini-2.5-flash-image`，**勿用已停服的 Imagen**） |
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> | `openai` | Image | OpenAI `gpt-image`，支持参考图编辑 |
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> | `runware` | Image | Runware task-array 协议 |
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>
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> 此外，`*_BASE_URL` 带不带 `/v1`（甚至末尾多写了 `/chat/completions`）都能正常工作——引擎会自动规范化。
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**2. 填写环境变量**
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九个变量为必填；TTS 可选（留空则静音运行）。此外还有一个用于低成本测试的开关：
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+88
-2
@@ -1,5 +1,10 @@
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import type { ProviderConfig } from "@infiplot/types";
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import { generateText } from "ai";
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import type { LanguageModelUsage, ModelMessage } from "ai";
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import { createAnthropic } from "@ai-sdk/anthropic";
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import { createGoogleGenerativeAI } from "@ai-sdk/google";
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import type { ProviderConfig, ProviderProtocol } from "@infiplot/types";
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import { fetchWithRetry } from "./fetchWithRetry";
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import { normalizeBaseUrl } from "./normalizeUrl";
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export type ChatMessage = {
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role: "system" | "user" | "assistant";
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@@ -57,6 +62,31 @@ function summarizeUsage(tag: string, usage: Usage | undefined): string {
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return `[cache] ${tag} prompt=${prompt} completion=${completion} (provider didn't report cache stats)`;
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}
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// AI SDK 6 unifies cache stats across providers into usage.inputTokenDetails,
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// so a single shape covers Anthropic + Gemini (no per-provider probing).
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function summarizeSdkUsage(
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tag: string,
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usage: LanguageModelUsage | undefined,
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): string {
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if (!usage) return `[cache] ${tag} no-usage`;
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const input = usage.inputTokens ?? 0;
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const output = usage.outputTokens ?? 0;
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const read = usage.inputTokenDetails?.cacheReadTokens;
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const write = usage.inputTokenDetails?.cacheWriteTokens;
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if (typeof read === "number" || typeof write === "number") {
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const hit = read ?? 0;
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const create = write ?? 0;
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const rate = input > 0 ? ((hit / input) * 100).toFixed(1) : "n/a";
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return `[cache] ${tag} hit=${hit} create=${create} input=${input} rate=${rate}% completion=${output}`;
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}
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return `[cache] ${tag} input=${input} completion=${output} (provider didn't report cache stats)`;
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}
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// text/vision default to the OpenAI-compatible wire protocol when unset.
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function resolveTextProtocol(config: ProviderConfig): ProviderProtocol {
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return config.provider ?? "openai_compatible";
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}
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export async function chat(
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config: ProviderConfig,
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messages: ChatMessage[],
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@@ -66,7 +96,63 @@ export async function chat(
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tag?: string;
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},
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): Promise<string> {
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const url = `${config.baseUrl.replace(/\/$/, "")}/chat/completions`;
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const protocol = resolveTextProtocol(config);
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if (protocol === "anthropic" || protocol === "google") {
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return chatViaAiSdk(config, messages, opts, protocol);
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}
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return chatOpenAiCompatible(config, messages, opts);
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}
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// Native Anthropic / Gemini via the Vercel AI SDK. response_format is not sent
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// (Anthropic has no JSON mode); the engine relies on parseJsonLoose downstream,
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// matching how it already tolerates loose JSON from every provider.
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async function chatViaAiSdk(
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config: ProviderConfig,
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messages: ChatMessage[],
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opts: { temperature?: number; tag?: string } | undefined,
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protocol: "anthropic" | "google",
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): Promise<string> {
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const baseURL = normalizeBaseUrl(config.baseUrl, protocol);
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const model =
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protocol === "anthropic"
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? createAnthropic({ apiKey: config.apiKey, baseURL })(config.model)
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: createGoogleGenerativeAI({ apiKey: config.apiKey, baseURL })(
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config.model,
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);
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const system = messages.find((m) => m.role === "system")?.content;
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const convo: ModelMessage[] = messages
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.filter((m) => m.role !== "system")
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.map((m) => ({
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role: m.role as "user" | "assistant",
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content: m.content,
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}));
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const { text, usage } = await generateText({
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model,
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system,
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messages: convo,
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temperature: opts?.temperature ?? 0.9,
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});
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console.log(summarizeSdkUsage(opts?.tag ?? "chat", usage));
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if (typeof text !== "string" || text.length === 0) {
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throw new Error(`Chat API (AI SDK ${protocol}) returned no content.`);
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}
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return text;
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}
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async function chatOpenAiCompatible(
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config: ProviderConfig,
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messages: ChatMessage[],
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opts?: {
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temperature?: number;
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responseFormat?: "json_object" | "text";
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tag?: string;
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},
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): Promise<string> {
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const url = `${normalizeBaseUrl(config.baseUrl, "openai_compatible")}/chat/completions`;
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const body: Record<string, unknown> = {
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model: config.model,
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messages,
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+111
-16
@@ -1,5 +1,9 @@
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import type { ProviderConfig } from "@infiplot/types";
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import { generateImage as generateImageSdk } from "ai";
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import { createOpenAI } from "@ai-sdk/openai";
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import { createGoogleGenerativeAI } from "@ai-sdk/google";
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import type { ProviderConfig, ProviderProtocol } from "@infiplot/types";
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import { fetchWithRetry } from "./fetchWithRetry";
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import { normalizeBaseUrl } from "./normalizeUrl";
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// Runware uses its own task-array protocol (not OpenAI-compatible).
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// POST <baseUrl> with [{ taskType: "imageInference", ... }]; errors come
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@@ -38,30 +42,52 @@ export type GenerateImageOptions = {
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* Reference image (UUID, public URL, or base64) for img2img. When set,
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* FLUX preserves the seed image's composition and applies `strength` to
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* deviate. NOTE: FLUX.2 [klein] 9B KV does NOT support seedImage — use
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* `referenceImages` for visual continuity instead.
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* `referenceImages` for visual continuity instead. Runware-only.
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*/
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seedImage?: string;
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/**
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* Reference images (UUIDs, URLs, or base64) to condition generation on —
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* typically character portraits + the prior scene image. Runware caps at 4;
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* we silently truncate beyond that.
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* we silently truncate beyond that. On the OpenAI/Gemini AI SDK paths these
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* map to `prompt.images` (the SDK accepts public URLs or data URLs).
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*/
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referenceImages?: string[];
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/** 0–1, FLUX needs ≥ 0.8 to actually have an effect. */
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/** 0–1, FLUX needs ≥ 0.8 to actually have an effect. Runware-only. */
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strength?: number;
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};
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export type GenerateImageResult = {
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/** Public CDN URL of the generated image (Runware-hosted). */
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/**
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* Image the client can render directly. A Runware CDN URL on the Runware
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* path; a `data:<mime>;base64,...` URI on the AI SDK paths (OpenAI/Gemini
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* return raw bytes, not a hosted URL).
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*/
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imageUrl: string;
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/** Stable UUID for cheap re-reference in later `referenceImages`. */
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/**
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* Stable handle for cheap re-reference in later `referenceImages`. A real
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* Runware UUID on the Runware path; a synthetic UUID on other paths (those
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* re-reference via the URL/data-URL form instead).
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*/
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imageUuid: string;
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};
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// Image roles support more protocols than text/vision. When IMAGE_PROVIDER is
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// unset we keep the historical URL-based inference so existing deployments
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// (Runware, or an OpenAI-compatible gateway) behave exactly as before.
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function inferImageProtocol(config: ProviderConfig): ProviderProtocol {
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const isOpenAiCompat =
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!config.baseUrl.includes("runware.ai") || config.model === "image-2-vip";
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return isOpenAiCompat ? "openai_compatible" : "runware";
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}
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function resolveImageProtocol(config: ProviderConfig): ProviderProtocol {
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return config.provider ?? inferImageProtocol(config);
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}
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// ──────────────────────────────────────────────────────────────────────
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// generateImage — text-to-image (default) or referenceImages-conditioned.
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// Returns both the public URL (for client display + future references)
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// and the UUID (cheapest reference form for subsequent calls).
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// Returns both a renderable image URL and a re-reference handle (see
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// GenerateImageResult). Dispatches on the resolved wire protocol.
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// ──────────────────────────────────────────────────────────────────────
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export async function generateImage(
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@@ -69,13 +95,74 @@ export async function generateImage(
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prompt: string,
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options?: GenerateImageOptions,
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): Promise<GenerateImageResult> {
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const url = config.baseUrl.replace(/\/$/, "");
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const protocol = resolveImageProtocol(config);
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switch (protocol) {
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case "openai":
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case "google":
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return generateImageViaAiSdk(config, prompt, options, protocol);
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case "runware":
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return generateImageRunware(config, prompt, options);
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case "anthropic":
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throw new Error(
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'IMAGE_PROVIDER "anthropic" does not generate images. Use "openai", "google", "runware", or "openai_compatible".',
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);
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case "openai_compatible":
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default:
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return generateImageOpenAiCompatible(config, prompt);
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}
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}
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// 1. OpenAI-compatible route (GPTGod, DALL-E, etc.)
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const isOpenAi = !url.includes("runware.ai") || config.model === "image-2-vip";
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if (isOpenAi) {
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const endpoint = url.endsWith("/images/generations") ? url : `${url}/images/generations`;
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console.log(`[ai-client] Calling OpenAI-compatible image generations at: ${endpoint} with model: ${config.model}`);
|
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// Native OpenAI (gpt-image) / Gemini (Nano Banana) via the Vercel AI SDK.
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// Unlike the fetch path, this supports reference-image editing via
|
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// `prompt.images`. The SDK returns raw bytes (no hosted URL), so we hand the
|
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// client a data URI and synthesize a UUID; continuity references reuse the
|
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// data URI rather than a provider UUID.
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async function generateImageViaAiSdk(
|
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config: ProviderConfig,
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prompt: string,
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options: GenerateImageOptions | undefined,
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protocol: "openai" | "google",
|
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): Promise<GenerateImageResult> {
|
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const baseURL = normalizeBaseUrl(config.baseUrl, protocol);
|
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const imageModel =
|
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protocol === "openai"
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? createOpenAI({ apiKey: config.apiKey, baseURL }).image(config.model)
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: createGoogleGenerativeAI({ apiKey: config.apiKey, baseURL }).image(
|
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config.model,
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);
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const refs = (options?.referenceImages ?? []).slice(0, MAX_REFERENCE_IMAGES);
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const promptArg =
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refs.length > 0 ? { text: prompt, images: refs } : prompt;
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// OpenAI's image models take an explicit `size`; gpt-image's widest landscape
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// option is 1536x1024. Gemini takes an `aspectRatio` instead.
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const { image } = await generateImageSdk({
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model: imageModel,
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prompt: promptArg,
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...(protocol === "openai"
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? { size: "1536x1024" as `${number}x${number}` }
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: { aspectRatio: "16:9" as `${number}:${number}` }),
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});
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return {
|
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imageUrl: `data:${image.mediaType};base64,${image.base64}`,
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imageUuid: crypto.randomUUID(),
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};
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}
|
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// OpenAI-compatible REST route (GPTGod, DALL-E proxies, etc.). Basic
|
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// text-to-image only — no reference images on this path; for editing/anchoring
|
||||
// set IMAGE_PROVIDER=openai (or google) to take the AI SDK path above.
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async function generateImageOpenAiCompatible(
|
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config: ProviderConfig,
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prompt: string,
|
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): Promise<GenerateImageResult> {
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const base = normalizeBaseUrl(config.baseUrl, "openai_compatible");
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const endpoint = `${base}/images/generations`;
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console.log(
|
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`[ai-client] Calling OpenAI-compatible image generations at: ${endpoint} with model: ${config.model}`,
|
||||
);
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||||
|
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const res = await fetchWithRetry(endpoint, {
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method: "POST",
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@@ -111,9 +198,17 @@ export async function generateImage(
|
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// Generate a mock UUID since OpenAI compatible endpoint doesn't have UUIDs
|
||||
const imageUuid = crypto.randomUUID();
|
||||
return { imageUrl, imageUuid };
|
||||
}
|
||||
}
|
||||
|
||||
// Runware task-array route — self-implemented to preserve the UUID/URL closed
|
||||
// loop (the official @runware/ai-sdk-provider drops both).
|
||||
async function generateImageRunware(
|
||||
config: ProviderConfig,
|
||||
prompt: string,
|
||||
options?: GenerateImageOptions,
|
||||
): Promise<GenerateImageResult> {
|
||||
const url = normalizeBaseUrl(config.baseUrl, "runware");
|
||||
|
||||
// 2. Runware task-array route
|
||||
const task: Record<string, unknown> = {
|
||||
taskType: "imageInference",
|
||||
taskUUID: crypto.randomUUID(),
|
||||
|
||||
@@ -0,0 +1,66 @@
|
||||
import type { ProviderProtocol } from "@infiplot/types";
|
||||
|
||||
// ──────────────────────────────────────────────────────────────────────
|
||||
// Base-URL normalization — tolerate whatever shape the user pastes.
|
||||
//
|
||||
// The README never specified whether the base URL needs a `/v1` suffix,
|
||||
// so users provide all of these for the same endpoint:
|
||||
// https://api.deepseek.com
|
||||
// https://api.deepseek.com/v1
|
||||
// https://api.deepseek.com/v1/chat/completions
|
||||
// We normalize to a canonical base the adapter can safely append its own
|
||||
// endpoint path to. This also fixes the pre-existing double-suffix bug
|
||||
// where a pasted `.../chat/completions` became `.../chat/completions/chat/completions`.
|
||||
//
|
||||
// Strategy (bare-host-only version append):
|
||||
// 1. strip trailing slashes
|
||||
// 2. strip a trailing known endpoint suffix (chat/completions, messages, …)
|
||||
// 3. only when the URL the user gave is a BARE host (scheme://host[:port]
|
||||
// with no path) do we append the protocol's default version segment.
|
||||
// Any path the user wrote (/v1, /beta, /zen/go, /chat/completions, …) is
|
||||
// treated as an explicit location and left intact — so we never turn
|
||||
// `/beta` into `/beta/v1`, and a version-less `/chat/completions`
|
||||
// endpoint is preserved.
|
||||
// ──────────────────────────────────────────────────────────────────────
|
||||
|
||||
// Endpoint paths an adapter appends itself — stripped so we keep only the base.
|
||||
const ENDPOINT_SUFFIX =
|
||||
/\/(chat\/completions|completions|responses|messages|images\/(generations|edits))\/?$/i;
|
||||
|
||||
// Default version segment to append per protocol for a bare host.
|
||||
const DEFAULT_VERSION_SEGMENT: Record<ProviderProtocol, string | null> = {
|
||||
openai_compatible: "v1",
|
||||
openai: "v1",
|
||||
anthropic: "v1",
|
||||
google: "v1beta",
|
||||
// Runware posts to the bare base URL with no version-pathed sub-resource,
|
||||
// so never inject a segment for it.
|
||||
runware: null,
|
||||
};
|
||||
|
||||
// True when `raw` is just scheme://host[:port] with no meaningful path — the
|
||||
// only shape where we infer a default version segment. A lone "/" counts as
|
||||
// bare. Falls back to a scheme-anchored regex if the URL can't be parsed.
|
||||
function isBareHost(raw: string): boolean {
|
||||
try {
|
||||
const { pathname } = new URL(raw);
|
||||
return pathname === "" || pathname === "/";
|
||||
} catch {
|
||||
return !/^[a-z][a-z0-9+.-]*:\/\/[^/]+\/.+/i.test(raw);
|
||||
}
|
||||
}
|
||||
|
||||
export function normalizeBaseUrl(
|
||||
raw: string,
|
||||
protocol: ProviderProtocol,
|
||||
): string {
|
||||
const trimmed = raw.trim();
|
||||
let u = trimmed.replace(/\/+$/, "");
|
||||
u = u.replace(ENDPOINT_SUFFIX, "").replace(/\/+$/, "");
|
||||
|
||||
const seg = DEFAULT_VERSION_SEGMENT[protocol];
|
||||
if (seg && isBareHost(trimmed)) {
|
||||
u = `${u}/${seg}`;
|
||||
}
|
||||
return u;
|
||||
}
|
||||
+73
-3
@@ -1,5 +1,12 @@
|
||||
import type { ProviderConfig } from "@infiplot/types";
|
||||
import { generateText } from "ai";
|
||||
import type { ModelMessage } from "ai";
|
||||
import { createAnthropic } from "@ai-sdk/anthropic";
|
||||
import { createGoogleGenerativeAI } from "@ai-sdk/google";
|
||||
import type { ProviderConfig, ProviderProtocol } from "@infiplot/types";
|
||||
import { fetchWithRetry } from "./fetchWithRetry";
|
||||
import { normalizeBaseUrl } from "./normalizeUrl";
|
||||
|
||||
const VISION_TIMEOUT_MS = 60_000;
|
||||
|
||||
export async function interpretClick(
|
||||
config: ProviderConfig,
|
||||
@@ -16,6 +23,11 @@ export async function interpretClick(
|
||||
);
|
||||
}
|
||||
|
||||
// text/vision default to the OpenAI-compatible wire protocol when unset.
|
||||
function resolveVisionProtocol(config: ProviderConfig): ProviderProtocol {
|
||||
return config.provider ?? "openai_compatible";
|
||||
}
|
||||
|
||||
/**
|
||||
* General single-image vision call. Accepts a complete data URL (preserves
|
||||
* the source mime type, e.g. webp/jpeg) and lets the caller opt out of
|
||||
@@ -27,7 +39,65 @@ export async function analyzeImageDataUrl(
|
||||
prompt: string,
|
||||
opts: { responseFormat?: "json_object" | "text" } = {},
|
||||
): Promise<string> {
|
||||
const url = `${config.baseUrl.replace(/\/$/, "")}/chat/completions`;
|
||||
const protocol = resolveVisionProtocol(config);
|
||||
if (protocol === "anthropic" || protocol === "google") {
|
||||
return analyzeViaAiSdk(config, imageDataUrl, prompt, protocol);
|
||||
}
|
||||
return analyzeOpenAiCompatible(config, imageDataUrl, prompt, opts);
|
||||
}
|
||||
|
||||
// Native Anthropic / Gemini multimodal via the AI SDK. The image part takes
|
||||
// the full data URL directly; the SDK decodes it. response_format is not sent
|
||||
// (no JSON mode on Anthropic) — the engine's parseJsonLoose handles output.
|
||||
async function analyzeViaAiSdk(
|
||||
config: ProviderConfig,
|
||||
imageDataUrl: string,
|
||||
prompt: string,
|
||||
protocol: "anthropic" | "google",
|
||||
): Promise<string> {
|
||||
const baseURL = normalizeBaseUrl(config.baseUrl, protocol);
|
||||
const model =
|
||||
protocol === "anthropic"
|
||||
? createAnthropic({ apiKey: config.apiKey, baseURL })(config.model)
|
||||
: createGoogleGenerativeAI({ apiKey: config.apiKey, baseURL })(
|
||||
config.model,
|
||||
);
|
||||
|
||||
const messages: ModelMessage[] = [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "text", text: prompt },
|
||||
{ type: "image", image: imageDataUrl },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
const timeoutCtrl = new AbortController();
|
||||
const timeoutId = setTimeout(() => timeoutCtrl.abort(), VISION_TIMEOUT_MS);
|
||||
try {
|
||||
const { text } = await generateText({
|
||||
model,
|
||||
messages,
|
||||
temperature: 0.2,
|
||||
abortSignal: timeoutCtrl.signal,
|
||||
});
|
||||
if (typeof text !== "string" || text.length === 0) {
|
||||
throw new Error(`Vision API (AI SDK ${protocol}) returned no content.`);
|
||||
}
|
||||
return text;
|
||||
} finally {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
}
|
||||
|
||||
async function analyzeOpenAiCompatible(
|
||||
config: ProviderConfig,
|
||||
imageDataUrl: string,
|
||||
prompt: string,
|
||||
opts: { responseFormat?: "json_object" | "text" } = {},
|
||||
): Promise<string> {
|
||||
const url = `${normalizeBaseUrl(config.baseUrl, "openai_compatible")}/chat/completions`;
|
||||
|
||||
const body: Record<string, unknown> = {
|
||||
model: config.model,
|
||||
@@ -47,7 +117,7 @@ export async function analyzeImageDataUrl(
|
||||
}
|
||||
|
||||
const timeoutCtrl = new AbortController();
|
||||
const timeoutId = setTimeout(() => timeoutCtrl.abort(), 60_000);
|
||||
const timeoutId = setTimeout(() => timeoutCtrl.abort(), VISION_TIMEOUT_MS);
|
||||
|
||||
let res: Response;
|
||||
try {
|
||||
|
||||
+31
-1
@@ -1,4 +1,16 @@
|
||||
import type { EngineConfig, TtsConfig } from "@infiplot/types";
|
||||
import type {
|
||||
EngineConfig,
|
||||
ProviderProtocol,
|
||||
TtsConfig,
|
||||
} from "@infiplot/types";
|
||||
|
||||
const VALID_PROTOCOLS = [
|
||||
"openai_compatible",
|
||||
"anthropic",
|
||||
"google",
|
||||
"openai",
|
||||
"runware",
|
||||
] as const;
|
||||
|
||||
function readVar(name: string): string {
|
||||
const v = process.env[name];
|
||||
@@ -11,6 +23,21 @@ function readOptionalVar(name: string): string | undefined {
|
||||
return v && v.length > 0 ? v : undefined;
|
||||
}
|
||||
|
||||
// Optional *_PROVIDER selector. Unset → undefined, and each ai-client adapter
|
||||
// applies its own default (text/vision → openai_compatible; image → inferred
|
||||
// from the base URL). Validated eagerly so a typo fails fast at boot rather
|
||||
// than mid-request.
|
||||
function readProvider(name: string): ProviderProtocol | undefined {
|
||||
const v = readOptionalVar(name)?.trim().toLowerCase();
|
||||
if (!v) return undefined;
|
||||
if ((VALID_PROTOCOLS as readonly string[]).includes(v)) {
|
||||
return v as ProviderProtocol;
|
||||
}
|
||||
throw new Error(
|
||||
`Invalid ${name}: "${v}". Must be one of: ${VALID_PROTOCOLS.join(", ")}`,
|
||||
);
|
||||
}
|
||||
|
||||
function loadTtsConfig(): TtsConfig | undefined {
|
||||
const baseUrl = readOptionalVar("TTS_BASE_URL");
|
||||
const apiKey = readOptionalVar("TTS_API_KEY");
|
||||
@@ -28,16 +55,19 @@ export function loadEngineConfig(headers?: Headers): EngineConfig {
|
||||
baseUrl: readVar("TEXT_BASE_URL"),
|
||||
apiKey: readVar("TEXT_API_KEY"),
|
||||
model: readVar("TEXT_MODEL"),
|
||||
provider: readProvider("TEXT_PROVIDER"),
|
||||
},
|
||||
image: {
|
||||
baseUrl: readVar("IMAGE_BASE_URL"),
|
||||
apiKey: readVar("IMAGE_API_KEY"),
|
||||
model: readVar("IMAGE_MODEL"),
|
||||
provider: readProvider("IMAGE_PROVIDER"),
|
||||
},
|
||||
vision: {
|
||||
baseUrl: readVar("VISION_BASE_URL"),
|
||||
apiKey: readVar("VISION_API_KEY"),
|
||||
model: readVar("VISION_MODEL"),
|
||||
provider: readProvider("VISION_PROVIDER"),
|
||||
},
|
||||
tts: loadTtsConfig(),
|
||||
mockImage: readOptionalVar("MOCK_IMAGE") === "true",
|
||||
|
||||
@@ -268,10 +268,41 @@ export type VisionClassify = "insert-beat" | "change-scene";
|
||||
// Provider config
|
||||
// ──────────────────────────────────────────────────────────────────────
|
||||
|
||||
/**
|
||||
* Wire protocol used to talk to a model provider. Which values are valid
|
||||
* depends on the model role — each ai-client adapter accepts its own subset
|
||||
* and falls back to a sensible default for anything else:
|
||||
*
|
||||
* openai_compatible text / vision / image — OpenAI Chat Completions +
|
||||
* `/images/generations` (self-implemented fetch; the
|
||||
* default for text/vision when unset)
|
||||
* anthropic text / vision — native Anthropic Messages (AI SDK)
|
||||
* google text / vision / image — native Gemini (AI SDK); image
|
||||
* uses the Nano Banana family
|
||||
* openai image only — OpenAI gpt-image via AI SDK,
|
||||
* unlocks reference-image editing (for text/vision use
|
||||
* openai_compatible, which already speaks OpenAI's format)
|
||||
* runware image only — Runware task-array protocol
|
||||
* (self-implemented; the default for runware.ai URLs)
|
||||
*/
|
||||
export type ProviderProtocol =
|
||||
| "openai_compatible"
|
||||
| "anthropic"
|
||||
| "google"
|
||||
| "openai"
|
||||
| "runware";
|
||||
|
||||
export type ProviderConfig = {
|
||||
baseUrl: string;
|
||||
apiKey: string;
|
||||
model: string;
|
||||
/**
|
||||
* Wire protocol. When unset, callers apply a role-specific default:
|
||||
* text/vision → "openai_compatible"; image → inferred from baseUrl
|
||||
* (runware.ai → "runware", otherwise "openai_compatible") so existing
|
||||
* deployments keep working without setting *_PROVIDER.
|
||||
*/
|
||||
provider?: ProviderProtocol;
|
||||
};
|
||||
|
||||
export type TtsConfig = {
|
||||
|
||||
@@ -20,6 +20,10 @@
|
||||
"deploy:cf": "opennextjs-cloudflare deploy"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "^3.0.81",
|
||||
"@ai-sdk/google": "^3.0.80",
|
||||
"@ai-sdk/openai": "^3.0.67",
|
||||
"ai": "^6.0.196",
|
||||
"jsonrepair": "^3.14.0",
|
||||
"next": "^16.0.0",
|
||||
"react": "^19.0.0",
|
||||
|
||||
Generated
+138
-8
@@ -8,12 +8,24 @@ importers:
|
||||
|
||||
.:
|
||||
dependencies:
|
||||
'@ai-sdk/anthropic':
|
||||
specifier: ^3.0.81
|
||||
version: 3.0.81(zod@4.4.3)
|
||||
'@ai-sdk/google':
|
||||
specifier: ^3.0.80
|
||||
version: 3.0.80(zod@4.4.3)
|
||||
'@ai-sdk/openai':
|
||||
specifier: ^3.0.67
|
||||
version: 3.0.67(zod@4.4.3)
|
||||
ai:
|
||||
specifier: ^6.0.196
|
||||
version: 6.0.196(zod@4.4.3)
|
||||
jsonrepair:
|
||||
specifier: ^3.14.0
|
||||
version: 3.14.0
|
||||
next:
|
||||
specifier: ^16.0.0
|
||||
version: 16.2.7(react-dom@19.2.7(react@19.2.7))(react@19.2.7)
|
||||
version: 16.2.7(@opentelemetry/api@1.9.1)(react-dom@19.2.7(react@19.2.7))(react@19.2.7)
|
||||
react:
|
||||
specifier: ^19.0.0
|
||||
version: 19.2.7
|
||||
@@ -23,7 +35,7 @@ importers:
|
||||
devDependencies:
|
||||
'@opennextjs/cloudflare':
|
||||
specifier: ^1.19.11
|
||||
version: 1.19.11(next@16.2.7(react-dom@19.2.7(react@19.2.7))(react@19.2.7))(wrangler@4.97.0)
|
||||
version: 1.19.11(next@16.2.7(@opentelemetry/api@1.9.1)(react-dom@19.2.7(react@19.2.7))(react@19.2.7))(wrangler@4.97.0)
|
||||
'@types/node':
|
||||
specifier: ^22.9.0
|
||||
version: 22.19.19
|
||||
@@ -54,6 +66,40 @@ importers:
|
||||
|
||||
packages:
|
||||
|
||||
'@ai-sdk/anthropic@3.0.81':
|
||||
resolution: {integrity: sha512-B1JDd9Ugq9R5AgIaW3674lhGCMMYJcPUxnrZh8fzbGojgg4QvHFRv6eZahGQAUsmGHbcf74G9bdSBDLWQGY2GA==}
|
||||
engines: {node: '>=18'}
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
|
||||
'@ai-sdk/gateway@3.0.124':
|
||||
resolution: {integrity: sha512-h8CrmbSG+8X0C+M/E1M4oiDHYevqwbzAPN+uLRHS0eJaatF2MZ+juNtOHXNOjk7Bsk9mD2RjYMjJO9dFkb9I7Q==}
|
||||
engines: {node: '>=18'}
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
|
||||
'@ai-sdk/google@3.0.80':
|
||||
resolution: {integrity: sha512-5ORbm/yFUPO0MEvZsxBMN0cdKw2+lwU/wVn5KN3KF8Dmk1LughuDuUohMh/7iU/XFTiyB0OvmTW/tdV/J7O9zg==}
|
||||
engines: {node: '>=18'}
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
|
||||
'@ai-sdk/openai@3.0.67':
|
||||
resolution: {integrity: sha512-oAiGC9eWG7IgtdsdS74bOCnAAHarAfTJhWN9x5INwnWPekL802AvF+0I5DvLzIF1MIRmNw4N8mPSL/GUVbX9Mw==}
|
||||
engines: {node: '>=18'}
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
|
||||
'@ai-sdk/provider-utils@4.0.27':
|
||||
resolution: {integrity: sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw==}
|
||||
engines: {node: '>=18'}
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
|
||||
'@ai-sdk/provider@3.0.10':
|
||||
resolution: {integrity: sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw==}
|
||||
engines: {node: '>=18'}
|
||||
|
||||
'@alloc/quick-lru@5.2.0':
|
||||
resolution: {integrity: sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==}
|
||||
engines: {node: '>=10'}
|
||||
@@ -1036,6 +1082,10 @@ packages:
|
||||
next: '>=15.5.18 <16 || >=16.2.6'
|
||||
wrangler: ^4.86.0
|
||||
|
||||
'@opentelemetry/api@1.9.1':
|
||||
resolution: {integrity: sha512-gLyJlPHPZYdAk1JENA9LeHejZe1Ti77/pTeFm/nMXmQH/HFZlcS/O2XJB+L8fkbrNSqhdtlvjBVjxwUYanNH5Q==}
|
||||
engines: {node: '>=8.0.0'}
|
||||
|
||||
'@poppinss/colors@4.1.6':
|
||||
resolution: {integrity: sha512-H9xkIdFswbS8n1d6vmRd8+c10t2Qe+rZITbbDHHkQixH5+2x1FDGmi/0K+WgWiqQFKPSlIYB7jlH6Kpfn6Fleg==}
|
||||
|
||||
@@ -1204,6 +1254,9 @@ packages:
|
||||
'@speed-highlight/core@1.2.15':
|
||||
resolution: {integrity: sha512-BMq1K3DsElxDWawkX6eLg9+CKJrTVGCBAWVuHXVUV2u0s2711qiChLSId6ikYPfxhdYocLNt3wWwSvDiTvFabw==}
|
||||
|
||||
'@standard-schema/spec@1.1.0':
|
||||
resolution: {integrity: sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w==}
|
||||
|
||||
'@swc/helpers@0.5.15':
|
||||
resolution: {integrity: sha512-JQ5TuMi45Owi4/BIMAJBoSQoOJu12oOk/gADqlcUL9JEdHB8vyjUSsxqeNXnmXHjYKMi2WcYtezGEEhqUI/E2g==}
|
||||
|
||||
@@ -1227,6 +1280,10 @@ packages:
|
||||
'@types/react@19.2.16':
|
||||
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fastq: 1.20.1
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express: 5.2.1
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ci-info: 4.4.0
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cloudflare: 4.5.0
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comment-json: 4.6.2
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enquirer: 2.4.1
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wrangler: 4.97.0
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- supports-color
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'@opentelemetry/api@1.9.1': {}
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'@poppinss/colors@4.1.6':
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dependencies:
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kleur: 4.1.5
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@@ -3697,6 +3808,8 @@ snapshots:
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'@speed-highlight/core@1.2.15': {}
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'@swc/helpers@0.5.15':
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tslib: 2.8.1
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@@ -3724,6 +3837,8 @@ snapshots:
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csstype: 3.2.3
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'@vercel/oidc@3.2.0': {}
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abort-controller@3.0.0:
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event-target-shim: 5.0.1
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@@ -3739,6 +3854,14 @@ snapshots:
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humanize-ms: 1.2.1
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ai@6.0.196(zod@4.4.3):
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ansi-regex@5.0.1: {}
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eventsource-parser@3.1.0: {}
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execa@5.1.1:
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dependencies:
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cross-spawn: 7.0.6
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@@ -4293,6 +4418,8 @@ snapshots:
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jiti@1.21.7: {}
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json-schema@0.4.0: {}
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jsonrepair@3.14.0: {}
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kleur@4.1.5: {}
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negotiator@1.0.0: {}
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next@16.2.7(react-dom@19.2.7(react@19.2.7))(react@19.2.7):
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next@16.2.7(@opentelemetry/api@1.9.1)(react-dom@19.2.7(react@19.2.7))(react@19.2.7):
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dependencies:
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'@next/env': 16.2.7
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'@opentelemetry/api': 1.9.1
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sharp: 0.34.5
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transitivePeerDependencies:
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- '@babel/core'
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@@ -4928,3 +5056,5 @@ snapshots:
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'@speed-highlight/core': 1.2.15
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cookie: 1.1.1
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youch-core: 0.3.3
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zod@4.4.3: {}
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Reference in New Issue
Block a user