feat: Add multiple Ollama support
Adds support for using Ollama 2 as a model provider. This includes: - Adding Ollama 2 to the list of supported providers in the UI - Updating the model identification logic to properly handle Ollama 2 models - Modifying the model loading and runtime configuration to work with Ollama 2 - Implementing Ollama 2 specific functionality in the embedding and chat models This change allows users to leverage the capabilities of Ollama 2 for both embeddings and conversational AI tasks.
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@ -47,7 +47,7 @@ export const OpenAIApp = () => {
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})
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setOpen(false)
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message.success(t("addSuccess"))
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const noPopupProvider = ["lmstudio", "llamafile"]
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const noPopupProvider = ["lmstudio", "llamafile", "ollama2"]
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if (!noPopupProvider.includes(provider)) {
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setOpenaiId(data)
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setOpenModelModal(true)
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@ -25,6 +25,7 @@ export const removeModelSuffix = (id: string) => {
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.replace(/_model-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{3,4}-[a-f0-9]{4}/, "")
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.replace(/_lmstudio_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/, "")
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.replace(/_llamafile_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/, "")
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.replace(/_ollama2_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/, "")
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}
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export const isLMStudioModel = (model: string) => {
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const lmstudioModelRegex =
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@ -37,7 +38,11 @@ export const isLlamafileModel = (model: string) => {
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/_llamafile_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/
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return llamafileModelRegex.test(model)
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}
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export const isOllamaModel = (model: string) => {
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const ollamaModelRegex =
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/_ollama2_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/
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return ollamaModelRegex.test(model)
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}
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export const getLMStudioModelId = (
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model: string
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): { model_id: string; provider_id: string } => {
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@ -51,7 +56,19 @@ export const getLMStudioModelId = (
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}
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return null
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}
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export const getOllamaModelId = (
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model: string
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): { model_id: string; provider_id: string } => {
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const ollamaModelRegex =
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/_ollama2_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/
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const match = model.match(ollamaModelRegex)
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if (match) {
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const modelId = match[0]
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const providerId = match[0].replace("_ollama2_openai-", "")
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return { model_id: modelId, provider_id: providerId }
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}
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return null
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}
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export const getLlamafileModelId = (
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model: string
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): { model_id: string; provider_id: string } => {
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@ -74,6 +91,10 @@ export const isCustomModel = (model: string) => {
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return true
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}
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if (isOllamaModel(model)) {
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return true
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}
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const customModelRegex =
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/_model-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{3,4}-[a-f0-9]{4}/
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return customModelRegex.test(model)
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@ -246,6 +267,25 @@ export const getModelInfo = async (id: string) => {
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}
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}
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if (isOllamaModel(id)) {
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const ollamaId = getOllamaModelId(id)
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if (!ollamaId) {
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throw new Error("Invalid LMStudio model ID")
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}
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return {
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model_id: id.replace(
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/_ollama2_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/,
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""
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),
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provider_id: `openai-${ollamaId.provider_id}`,
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name: id.replace(
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/_ollama2_openai-[a-f0-9]{4}-[a-f0-9]{3}-[a-f0-9]{4}/,
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""
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)
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}
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}
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const model = await db.getById(id)
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return model
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}
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@ -309,6 +349,27 @@ export const dynamicFetchLMStudio = async ({
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return lmstudioModels
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}
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export const dynamicFetchOllama2 = async ({
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baseUrl,
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providerId
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}: {
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baseUrl: string
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providerId: string
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}) => {
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const models = await getAllOpenAIModels(baseUrl)
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const ollama2Models = models.map((e) => {
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return {
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name: e?.name || e?.id,
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id: `${e?.id}_ollama2_${providerId}`,
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provider: providerId,
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lookup: `${e?.id}_${providerId}`,
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provider_id: providerId
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}
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})
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return ollama2Models
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}
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export const dynamicFetchLlamafile = async ({
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baseUrl,
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providerId
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@ -360,21 +421,33 @@ export const ollamaFormatAllCustomModels = async (
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})
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)
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const ollamaModelsPromises = allProviders.map((provider) => (
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dynamicFetchOllama2({
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baseUrl: provider.baseUrl,
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providerId: provider.id
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})
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))
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const lmModelsFetch = await Promise.all(lmModelsPromises)
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const llamafileModelsFetch = await Promise.all(llamafileModelsPromises)
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const ollamaModelsFetch = await Promise.all(ollamaModelsPromises)
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const lmModels = lmModelsFetch.flat()
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const llamafileModels = llamafileModelsFetch.flat()
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const ollama2Models = ollamaModelsFetch.flat()
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// merge allModels and lmModels
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const allModlesWithLMStudio = [
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...(modelType !== "all"
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? allModles.filter((model) => model.model_type === modelType)
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: allModles),
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...lmModels,
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...llamafileModels
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...llamafileModels,
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...ollama2Models
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]
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const ollamaModels = allModlesWithLMStudio.map((model) => {
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@ -1,4 +1,4 @@
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import { getModelInfo, isCustomModel } from "@/db/models"
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import { getModelInfo, isCustomModel, isOllamaModel } from "@/db/models"
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import { OllamaEmbeddingsPageAssist } from "./OllamaEmbedding"
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import { OAIEmbedding } from "./OAIEmbedding"
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import { getOpenAIConfigById } from "@/db/openai"
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@ -1,8 +1,9 @@
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import { getModelInfo, isCustomModel } from "@/db/models"
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import { getModelInfo, isCustomModel, isOllamaModel } from "@/db/models"
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import { ChatChromeAI } from "./ChatChromeAi"
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import { ChatOllama } from "./ChatOllama"
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import { getOpenAIConfigById } from "@/db/openai"
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import { ChatOpenAI } from "@langchain/openai"
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import { urlRewriteRuntime } from "@/libs/runtime"
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export const pageAssistModel = async ({
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model,
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@ -43,6 +44,10 @@ export const pageAssistModel = async ({
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const modelInfo = await getModelInfo(model)
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const providerInfo = await getOpenAIConfigById(modelInfo.provider_id)
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if (isOllamaModel(model)) {
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await urlRewriteRuntime(providerInfo.baseUrl || "")
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}
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return new ChatOpenAI({
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modelName: modelInfo.model_id,
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openAIApiKey: providerInfo.apiKey || "temp",
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@ -1,14 +1,24 @@
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export const OAI_API_PROVIDERS = [
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{
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label: "Custom",
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value: "custom",
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baseUrl: ""
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},
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{
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label: "LM Studio",
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value: "lmstudio",
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baseUrl: "http://localhost:1234/v1"
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},
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{
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label: "LlamaFile",
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label: "Llamafile",
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value: "llamafile",
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baseUrl: "http://127.0.0.1:8080/v1"
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},
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{
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label: "Ollama",
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value: "ollama2",
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baseUrl: "http://localhost:11434/v1"
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},
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{
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label: "OpenAI",
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value: "openai",
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@ -34,9 +44,5 @@ export const OAI_API_PROVIDERS = [
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value: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1"
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},
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{
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label: "Custom",
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value: "custom",
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baseUrl: ""
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}
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]
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