Upgrade to AI sdk with codemod (#1000)
This commit is contained in:
Will Chen
@@ -1,4 +1,8 @@
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- paragraph: hi
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- paragraph: ollamachunkollamachunk
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- img
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- text: file1.txt
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- img
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- text: file1.txt
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- paragraph: More EOM
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- button "Retry":
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- img
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323
package-lock.json
generated
323
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@@ -83,7 +83,8 @@
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||||
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||||
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||||
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|
||||
"@ai-sdk/react": "1.2.12",
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||||
"@ai-sdk/ui-utils": "1.2.11",
|
||||
"@opentelemetry/api": "1.9.0",
|
||||
"jsondiffpatch": "0.6.0"
|
||||
"@ai-sdk/gateway": "1.0.7",
|
||||
"@ai-sdk/provider": "2.0.0",
|
||||
"@ai-sdk/provider-utils": "3.0.3",
|
||||
"@opentelemetry/api": "1.9.0"
|
||||
},
|
||||
"engines": {
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||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": "^18 || ^19 || ^19.0.0-rc",
|
||||
"zod": "^3.23.8"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"react": {
|
||||
"optional": true
|
||||
}
|
||||
"zod": "^3.25.76 || ^4"
|
||||
}
|
||||
},
|
||||
"node_modules/ajv": {
|
||||
@@ -8956,12 +8887,6 @@
|
||||
"url": "https://github.com/sponsors/wooorm"
|
||||
}
|
||||
},
|
||||
"node_modules/diff-match-patch": {
|
||||
"version": "1.0.5",
|
||||
"resolved": "https://registry.npmjs.org/diff-match-patch/-/diff-match-patch-1.0.5.tgz",
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"integrity": "sha512-IayShXAgj/QMXgB0IWmKx+rOPuGMhqm5w6jvFxmVenXKIzRqTAAsbBPT3kWQeGANj3jGgvcvv4yK6SxqYmikgw==",
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||||
"license": "Apache-2.0"
|
||||
},
|
||||
"node_modules/diff-sequences": {
|
||||
"version": "29.6.3",
|
||||
"resolved": "https://registry.npmjs.org/diff-sequences/-/diff-sequences-29.6.3.tgz",
|
||||
@@ -13426,35 +13351,6 @@
|
||||
"node": ">=6"
|
||||
}
|
||||
},
|
||||
"node_modules/jsondiffpatch": {
|
||||
"version": "0.6.0",
|
||||
"resolved": "https://registry.npmjs.org/jsondiffpatch/-/jsondiffpatch-0.6.0.tgz",
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||||
"integrity": "sha512-3QItJOXp2AP1uv7waBkao5nCvhEv+QmJAd38Ybq7wNI74Q+BBmnLn4EDKz6yI9xGAIQoUF87qHt+kc1IVxB4zQ==",
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||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@types/diff-match-patch": "^1.0.36",
|
||||
"chalk": "^5.3.0",
|
||||
"diff-match-patch": "^1.0.5"
|
||||
},
|
||||
"bin": {
|
||||
"jsondiffpatch": "bin/jsondiffpatch.js"
|
||||
},
|
||||
"engines": {
|
||||
"node": "^18.0.0 || >=20.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/jsondiffpatch/node_modules/chalk": {
|
||||
"version": "5.5.0",
|
||||
"resolved": "https://registry.npmjs.org/chalk/-/chalk-5.5.0.tgz",
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"integrity": "sha512-1tm8DTaJhPBG3bIkVeZt1iZM9GfSX2lzOeDVZH9R9ffRHpmHvxZ/QhgQH/aDTkswQVt+YHdXAdS/In/30OjCbg==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": "^12.17.0 || ^14.13 || >=16.0.0"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/chalk/chalk?sponsor=1"
|
||||
}
|
||||
},
|
||||
"node_modules/jsonfile": {
|
||||
"version": "6.2.0",
|
||||
"resolved": "https://registry.npmjs.org/jsonfile/-/jsonfile-6.2.0.tgz",
|
||||
@@ -16041,28 +15937,6 @@
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/ollama-ai-provider": {
|
||||
"version": "1.2.0",
|
||||
"resolved": "https://registry.npmjs.org/ollama-ai-provider/-/ollama-ai-provider-1.2.0.tgz",
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||||
"integrity": "sha512-jTNFruwe3O/ruJeppI/quoOUxG7NA6blG3ZyQj3lei4+NnJo7bi3eIRWqlVpRlu/mbzbFXeJSBuYQWF6pzGKww==",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "^1.0.0",
|
||||
"@ai-sdk/provider-utils": "^2.0.0",
|
||||
"partial-json": "0.1.7"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"zod": "^3.0.0"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"zod": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/once": {
|
||||
"version": "1.4.0",
|
||||
"resolved": "https://registry.npmjs.org/once/-/once-1.4.0.tgz",
|
||||
@@ -16497,12 +16371,6 @@
|
||||
"node": ">=0.10.0"
|
||||
}
|
||||
},
|
||||
"node_modules/partial-json": {
|
||||
"version": "0.1.7",
|
||||
"resolved": "https://registry.npmjs.org/partial-json/-/partial-json-0.1.7.tgz",
|
||||
"integrity": "sha512-Njv/59hHaokb/hRUjce3Hdv12wd60MtM9Z5Olmn+nehe0QDAsRtRbJPvJ0Z91TusF0SuZRIvnM+S4l6EIP8leA==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/path-browserify": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmjs.org/path-browserify/-/path-browserify-1.0.1.tgz",
|
||||
@@ -17972,12 +17840,6 @@
|
||||
"integrity": "sha512-NlHwttCI/l5gCPR3D1nNXtWABUmBwvZpEQiD4IXSbIDq8BzLIK/7Ir5gTFSGZDUu37K5cMNp0hFtzO38sC7gWA==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/secure-json-parse": {
|
||||
"version": "2.7.0",
|
||||
"resolved": "https://registry.npmjs.org/secure-json-parse/-/secure-json-parse-2.7.0.tgz",
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"integrity": "sha512-6aU+Rwsezw7VR8/nyvKTx8QpWH9FrcYiXXlqC4z5d5XQBDRqtbfsRjnwGyqbi3gddNtWHuEk9OANUotL26qKUw==",
|
||||
"license": "BSD-3-Clause"
|
||||
},
|
||||
"node_modules/semver": {
|
||||
"version": "7.7.2",
|
||||
"resolved": "https://registry.npmjs.org/semver/-/semver-7.7.2.tgz",
|
||||
@@ -19237,19 +19099,6 @@
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/swr": {
|
||||
"version": "2.3.6",
|
||||
"resolved": "https://registry.npmjs.org/swr/-/swr-2.3.6.tgz",
|
||||
"integrity": "sha512-wfHRmHWk/isGNMwlLGlZX5Gzz/uTgo0o2IRuTMcf4CPuPFJZlq0rDaKUx+ozB5nBOReNV1kiOyzMfj+MBMikLw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"dequal": "^2.0.3",
|
||||
"use-sync-external-store": "^1.4.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": "^16.11.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/tabbable": {
|
||||
"version": "6.2.0",
|
||||
"resolved": "https://registry.npmjs.org/tabbable/-/tabbable-6.2.0.tgz",
|
||||
@@ -19424,18 +19273,6 @@
|
||||
"dev": true,
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/throttleit": {
|
||||
"version": "2.1.0",
|
||||
"resolved": "https://registry.npmjs.org/throttleit/-/throttleit-2.1.0.tgz",
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||||
"integrity": "sha512-nt6AMGKW1p/70DF/hGBdJB57B8Tspmbp5gfJ8ilhLnt7kkr2ye7hzD6NVG8GGErk2HWF34igrL2CXmNIkzKqKw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/tiny-each-async": {
|
||||
"version": "2.0.3",
|
||||
"resolved": "https://registry.npmjs.org/tiny-each-async/-/tiny-each-async-2.0.3.tgz",
|
||||
|
||||
17
package.json
17
package.json
@@ -84,17 +84,18 @@
|
||||
"vitest": "^3.1.1"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "^1.2.8",
|
||||
"@ai-sdk/google": "^1.2.19",
|
||||
"@ai-sdk/openai": "^1.3.24",
|
||||
"@ai-sdk/openai-compatible": "^0.2.13",
|
||||
"@ai-sdk/anthropic": "^2.0.4",
|
||||
"@ai-sdk/google": "^2.0.6",
|
||||
"@ai-sdk/openai": "^2.0.15",
|
||||
"@ai-sdk/openai-compatible": "^1.0.8",
|
||||
"@ai-sdk/provider-utils": "^3.0.3",
|
||||
"@biomejs/biome": "^1.9.4",
|
||||
"@dyad-sh/supabase-management-js": "v1.0.0",
|
||||
"@lexical/react": "^0.33.1",
|
||||
"@monaco-editor/react": "^4.7.0-rc.0",
|
||||
"@neondatabase/api-client": "^2.1.0",
|
||||
"@neondatabase/serverless": "^1.0.1",
|
||||
"@openrouter/ai-sdk-provider": "^0.4.5",
|
||||
"@openrouter/ai-sdk-provider": "^1.1.2",
|
||||
"@radix-ui/react-accordion": "^1.2.4",
|
||||
"@radix-ui/react-alert-dialog": "^1.1.13",
|
||||
"@radix-ui/react-checkbox": "^1.3.2",
|
||||
@@ -118,7 +119,7 @@
|
||||
"@types/uuid": "^10.0.0",
|
||||
"@vercel/sdk": "^1.10.0",
|
||||
"@vitejs/plugin-react": "^4.3.4",
|
||||
"ai": "^4.3.4",
|
||||
"ai": "^5.0.15",
|
||||
"better-sqlite3": "^11.9.1",
|
||||
"class-variance-authority": "^0.7.1",
|
||||
"clsx": "^2.1.1",
|
||||
@@ -140,7 +141,6 @@
|
||||
"lexical-beautiful-mentions": "^0.1.47",
|
||||
"lucide-react": "^0.487.0",
|
||||
"monaco-editor": "^0.52.2",
|
||||
"ollama-ai-provider": "^1.2.0",
|
||||
"openai": "^4.91.1",
|
||||
"posthog-js": "^1.236.3",
|
||||
"react": "^19.0.0",
|
||||
@@ -158,7 +158,8 @@
|
||||
"tree-kill": "^1.2.2",
|
||||
"tw-animate-css": "^1.2.5",
|
||||
"update-electron-app": "^3.1.1",
|
||||
"uuid": "^11.1.0"
|
||||
"uuid": "^11.1.0",
|
||||
"zod": "^3.25.76"
|
||||
},
|
||||
"lint-staged": {
|
||||
"**/*.{js,mjs,cjs,jsx,ts,mts,cts,tsx,vue,astro,svelte}": "oxlint",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { v4 as uuidv4 } from "uuid";
|
||||
import { ipcMain } from "electron";
|
||||
import {
|
||||
CoreMessage,
|
||||
ModelMessage,
|
||||
TextPart,
|
||||
ImagePart,
|
||||
streamText,
|
||||
@@ -134,14 +134,14 @@ async function processStreamChunks({
|
||||
chunk = "</think>";
|
||||
inThinkingBlock = false;
|
||||
}
|
||||
chunk += part.textDelta;
|
||||
} else if (part.type === "reasoning") {
|
||||
chunk += part.text;
|
||||
} else if (part.type === "reasoning-delta") {
|
||||
if (!inThinkingBlock) {
|
||||
chunk = "<think>";
|
||||
inThinkingBlock = true;
|
||||
}
|
||||
|
||||
chunk += escapeDyadTags(part.textDelta);
|
||||
chunk += escapeDyadTags(part.text);
|
||||
}
|
||||
|
||||
if (!chunk) {
|
||||
@@ -603,7 +603,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
] as const)
|
||||
: [];
|
||||
|
||||
let chatMessages: CoreMessage[] = [
|
||||
let chatMessages: ModelMessage[] = [
|
||||
...codebasePrefix,
|
||||
...otherCodebasePrefix,
|
||||
...limitedMessageHistory.map((msg) => ({
|
||||
@@ -647,7 +647,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
content:
|
||||
"Summarize the following chat: " +
|
||||
formatMessagesForSummary(previousChat?.messages ?? []),
|
||||
} satisfies CoreMessage,
|
||||
} satisfies ModelMessage,
|
||||
];
|
||||
}
|
||||
|
||||
@@ -655,7 +655,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
chatMessages,
|
||||
modelClient,
|
||||
}: {
|
||||
chatMessages: CoreMessage[];
|
||||
chatMessages: ModelMessage[];
|
||||
modelClient: ModelClient;
|
||||
}) => {
|
||||
const dyadRequestId = uuidv4();
|
||||
@@ -668,7 +668,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
logger.log("sending AI request");
|
||||
}
|
||||
return streamText({
|
||||
maxTokens: await getMaxTokens(settings.selectedModel),
|
||||
maxOutputTokens: await getMaxTokens(settings.selectedModel),
|
||||
temperature: await getTemperature(settings.selectedModel),
|
||||
maxRetries: 2,
|
||||
model: modelClient.model,
|
||||
@@ -798,7 +798,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
break;
|
||||
}
|
||||
if (part.type !== "text-delta") continue; // ignore reasoning for continuation
|
||||
fullResponse += part.textDelta;
|
||||
fullResponse += part.text;
|
||||
fullResponse = cleanFullResponse(fullResponse);
|
||||
fullResponse = await processResponseChunkUpdate({
|
||||
fullResponse,
|
||||
@@ -825,7 +825,7 @@ This conversation includes one or more image attachments. When the user uploads
|
||||
|
||||
let autoFixAttempts = 0;
|
||||
const originalFullResponse = fullResponse;
|
||||
const previousAttempts: CoreMessage[] = [];
|
||||
const previousAttempts: ModelMessage[] = [];
|
||||
while (
|
||||
problemReport.problems.length > 0 &&
|
||||
autoFixAttempts < 2 &&
|
||||
@@ -1161,9 +1161,9 @@ async function replaceTextAttachmentWithContent(
|
||||
|
||||
// Helper function to convert traditional message to one with proper image attachments
|
||||
async function prepareMessageWithAttachments(
|
||||
message: CoreMessage,
|
||||
message: ModelMessage,
|
||||
attachmentPaths: string[],
|
||||
): Promise<CoreMessage> {
|
||||
): Promise<ModelMessage> {
|
||||
let textContent = message.content;
|
||||
// Get the original text content
|
||||
if (typeof textContent !== "string") {
|
||||
|
||||
@@ -37,7 +37,9 @@ export function parseOllamaHost(host?: string): string {
|
||||
return `http://${host}:11434`;
|
||||
}
|
||||
|
||||
const OLLAMA_API_URL = parseOllamaHost(process.env.OLLAMA_HOST);
|
||||
export function getOllamaApiUrl(): string {
|
||||
return parseOllamaHost(process.env.OLLAMA_HOST);
|
||||
}
|
||||
|
||||
interface OllamaModel {
|
||||
name: string;
|
||||
@@ -55,7 +57,7 @@ interface OllamaModel {
|
||||
|
||||
export async function fetchOllamaModels(): Promise<LocalModelListResponse> {
|
||||
try {
|
||||
const response = await fetch(`${OLLAMA_API_URL}/api/tags`);
|
||||
const response = await fetch(`${getOllamaApiUrl()}/api/tags`);
|
||||
if (!response.ok) {
|
||||
throw new Error(`Failed to fetch model: ${response.statusText}`);
|
||||
}
|
||||
|
||||
@@ -1,9 +1,7 @@
|
||||
import { LanguageModelV1 } from "ai";
|
||||
import { createOpenAI } from "@ai-sdk/openai";
|
||||
import { createGoogleGenerativeAI as createGoogle } from "@ai-sdk/google";
|
||||
import { createAnthropic } from "@ai-sdk/anthropic";
|
||||
import { createOpenRouter } from "@openrouter/ai-sdk-provider";
|
||||
import { createOllama } from "ollama-ai-provider";
|
||||
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
|
||||
import type { LargeLanguageModel, UserSettings } from "../../lib/schemas";
|
||||
import { getEnvVar } from "./read_env";
|
||||
@@ -13,6 +11,9 @@ import { LanguageModelProvider } from "../ipc_types";
|
||||
import { createDyadEngine } from "./llm_engine_provider";
|
||||
|
||||
import { LM_STUDIO_BASE_URL } from "./lm_studio_utils";
|
||||
import { LanguageModel } from "ai";
|
||||
import { createOllamaProvider } from "./ollama_provider";
|
||||
import { getOllamaApiUrl } from "../handlers/local_model_ollama_handler";
|
||||
|
||||
const dyadEngineUrl = process.env.DYAD_ENGINE_URL;
|
||||
const dyadGatewayUrl = process.env.DYAD_GATEWAY_URL;
|
||||
@@ -33,7 +34,7 @@ const AUTO_MODELS = [
|
||||
];
|
||||
|
||||
export interface ModelClient {
|
||||
model: LanguageModelV1;
|
||||
model: LanguageModel;
|
||||
builtinProviderId?: string;
|
||||
}
|
||||
|
||||
@@ -168,7 +169,10 @@ function getRegularModelClient(
|
||||
model: LargeLanguageModel,
|
||||
settings: UserSettings,
|
||||
providerConfig: LanguageModelProvider,
|
||||
) {
|
||||
): {
|
||||
modelClient: ModelClient;
|
||||
backupModelClients: ModelClient[];
|
||||
} {
|
||||
// Get API key for the specific provider
|
||||
const apiKey =
|
||||
settings.providerSettings?.[model.provider]?.apiKey?.value ||
|
||||
@@ -220,13 +224,11 @@ function getRegularModelClient(
|
||||
};
|
||||
}
|
||||
case "ollama": {
|
||||
// Ollama typically runs locally and doesn't require an API key in the same way
|
||||
const provider = createOllama({
|
||||
baseURL: process.env.OLLAMA_HOST,
|
||||
});
|
||||
const provider = createOllamaProvider({ baseURL: getOllamaApiUrl() });
|
||||
return {
|
||||
modelClient: {
|
||||
model: provider(model.name),
|
||||
builtinProviderId: providerId,
|
||||
},
|
||||
backupModelClients: [],
|
||||
};
|
||||
|
||||
@@ -1,7 +1,4 @@
|
||||
import {
|
||||
LanguageModelV1,
|
||||
LanguageModelV1ObjectGenerationMode,
|
||||
} from "@ai-sdk/provider";
|
||||
import { LanguageModel } from "ai";
|
||||
import { OpenAICompatibleChatLanguageModel } from "@ai-sdk/openai-compatible";
|
||||
import {
|
||||
FetchFunction,
|
||||
@@ -9,7 +6,6 @@ import {
|
||||
withoutTrailingSlash,
|
||||
} from "@ai-sdk/provider-utils";
|
||||
|
||||
import { OpenAICompatibleChatSettings } from "@ai-sdk/openai-compatible";
|
||||
import log from "electron-log";
|
||||
import { getExtraProviderOptions } from "./thinking_utils";
|
||||
import type { UserSettings } from "../../lib/schemas";
|
||||
@@ -18,7 +14,7 @@ const logger = log.scope("llm_engine_provider");
|
||||
|
||||
export type ExampleChatModelId = string & {};
|
||||
|
||||
export interface ExampleChatSettings extends OpenAICompatibleChatSettings {
|
||||
export interface ExampleChatSettings {
|
||||
files?: { path: string; content: string }[];
|
||||
}
|
||||
export interface ExampleProviderSettings {
|
||||
@@ -56,10 +52,7 @@ export interface DyadEngineProvider {
|
||||
/**
|
||||
Creates a model for text generation.
|
||||
*/
|
||||
(
|
||||
modelId: ExampleChatModelId,
|
||||
settings?: ExampleChatSettings,
|
||||
): LanguageModelV1;
|
||||
(modelId: ExampleChatModelId, settings?: ExampleChatSettings): LanguageModel;
|
||||
|
||||
/**
|
||||
Creates a chat model for text generation.
|
||||
@@ -67,7 +60,7 @@ Creates a chat model for text generation.
|
||||
chatModel(
|
||||
modelId: ExampleChatModelId,
|
||||
settings?: ExampleChatSettings,
|
||||
): LanguageModelV1;
|
||||
): LanguageModel;
|
||||
}
|
||||
|
||||
export function createDyadEngine(
|
||||
@@ -113,13 +106,13 @@ export function createDyadEngine(
|
||||
settings: ExampleChatSettings = {},
|
||||
) => {
|
||||
// Extract files from settings to process them appropriately
|
||||
const { files, ...restSettings } = settings;
|
||||
const { files } = settings;
|
||||
|
||||
// Create configuration with file handling
|
||||
const config = {
|
||||
...getCommonModelConfig(),
|
||||
defaultObjectGenerationMode:
|
||||
"tool" as LanguageModelV1ObjectGenerationMode,
|
||||
// defaultObjectGenerationMode:
|
||||
// "tool" as LanguageModelV1ObjectGenerationMode,
|
||||
// Custom fetch implementation that adds files to the request
|
||||
fetch: (input: RequestInfo | URL, init?: RequestInit) => {
|
||||
// Use default fetch if no init or body
|
||||
@@ -181,7 +174,7 @@ export function createDyadEngine(
|
||||
},
|
||||
};
|
||||
|
||||
return new OpenAICompatibleChatLanguageModel(modelId, restSettings, config);
|
||||
return new OpenAICompatibleChatLanguageModel(modelId, config);
|
||||
};
|
||||
|
||||
const provider = (
|
||||
|
||||
39
src/ipc/utils/ollama_provider.ts
Normal file
39
src/ipc/utils/ollama_provider.ts
Normal file
@@ -0,0 +1,39 @@
|
||||
import { LanguageModel } from "ai";
|
||||
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
|
||||
import type { FetchFunction } from "@ai-sdk/provider-utils";
|
||||
import { withoutTrailingSlash } from "@ai-sdk/provider-utils";
|
||||
import type {} from "@ai-sdk/provider";
|
||||
|
||||
type OllamaChatModelId = string;
|
||||
|
||||
export interface OllamaProviderOptions {
|
||||
/**
|
||||
* Base URL for the Ollama API. For real Ollama, use e.g. http://localhost:11434/api
|
||||
* The provider will POST to `${baseURL}/chat`.
|
||||
* If undefined, defaults to http://localhost:11434/api
|
||||
*/
|
||||
baseURL?: string;
|
||||
headers?: Record<string, string>;
|
||||
fetch?: FetchFunction;
|
||||
}
|
||||
|
||||
export interface OllamaChatSettings {}
|
||||
|
||||
export interface OllamaProvider {
|
||||
(modelId: OllamaChatModelId, settings?: OllamaChatSettings): LanguageModel;
|
||||
}
|
||||
|
||||
export function createOllamaProvider(
|
||||
options?: OllamaProviderOptions,
|
||||
): OllamaProvider {
|
||||
const base = withoutTrailingSlash(
|
||||
options?.baseURL ?? "http://localhost:11434",
|
||||
)!;
|
||||
const v1Base = (base.endsWith("/v1") ? base : `${base}/v1`) as string;
|
||||
const provider = createOpenAICompatible({
|
||||
name: "ollama",
|
||||
baseURL: v1Base,
|
||||
headers: options?.headers,
|
||||
});
|
||||
return (modelId: OllamaChatModelId) => provider(modelId);
|
||||
}
|
||||
@@ -94,51 +94,6 @@ app.get("/ollama/api/tags", (req, res) => {
|
||||
res.json(ollamaModels);
|
||||
});
|
||||
|
||||
app.post("/ollama/chat", (req, res) => {
|
||||
// Tell the client we're going to stream NDJSON
|
||||
res.setHeader("Content-Type", "application/x-ndjson");
|
||||
res.setHeader("Cache-Control", "no-cache");
|
||||
|
||||
// Chunk #1 – partial answer
|
||||
const firstChunk = {
|
||||
model: "llama3.2",
|
||||
created_at: "2023-08-04T08:52:19.385406455-07:00",
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: "ollamachunk",
|
||||
images: null,
|
||||
},
|
||||
done: false,
|
||||
};
|
||||
|
||||
// Chunk #2 – final answer + metrics
|
||||
const secondChunk = {
|
||||
model: "llama3.2",
|
||||
created_at: "2023-08-04T19:22:45.499127Z",
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: "",
|
||||
},
|
||||
done: true,
|
||||
total_duration: 4883583458,
|
||||
load_duration: 1334875,
|
||||
prompt_eval_count: 26,
|
||||
prompt_eval_duration: 342546000,
|
||||
eval_count: 282,
|
||||
eval_duration: 4535599000,
|
||||
};
|
||||
|
||||
// Send the first object right away
|
||||
res.write(JSON.stringify(firstChunk) + "\n");
|
||||
res.write(JSON.stringify(firstChunk) + "\n");
|
||||
|
||||
// …and the second one a moment later to mimic streaming
|
||||
setTimeout(() => {
|
||||
res.write(JSON.stringify(secondChunk) + "\n");
|
||||
res.end(); // Close the HTTP stream
|
||||
}, 300); // 300 ms delay – tweak as you like
|
||||
});
|
||||
|
||||
// LM Studio specific endpoints
|
||||
app.get("/lmstudio/api/v0/models", (req, res) => {
|
||||
const lmStudioModels = {
|
||||
@@ -182,7 +137,7 @@ app.get("/lmstudio/api/v0/models", (req, res) => {
|
||||
res.json(lmStudioModels);
|
||||
});
|
||||
|
||||
["lmstudio", "gateway", "engine"].forEach((provider) => {
|
||||
["lmstudio", "gateway", "engine", "ollama"].forEach((provider) => {
|
||||
app.post(
|
||||
`/${provider}/v1/chat/completions`,
|
||||
createChatCompletionHandler(provider),
|
||||
|
||||
Reference in New Issue
Block a user