feat: adapter updates for latest models and features

packages/adapter-claude/src/client.ts

@@ -33,9 +33,6 @@ export class ClaudeClient extends PlatformModelClient<ClientConfig> {
 
     async refreshModels(): Promise<ModelInfo[]> {
         const fallbackModels = [
-            'claude-3-5-sonnet-20240620',
-            'claude-3-opus-20240229',
-            'claude-3-sonnet-20240229',
             'claude-3-5-sonnet-20241022',
             'claude-3-7-sonnet-20250219',
             'claude-3-7-sonnet-thinking-20250219',
@@ -44,8 +41,8 @@ export class ClaudeClient extends PlatformModelClient<ClientConfig> {
             'claude-sonnet-4-5-20250929',
             'claude-opus-4-5-20251101',
             'claude-opus-4-1-20250805',
-            'claude-3-5-haiku-20241022',
-            'claude-3-haiku-20240307'
+            'claude-haiku-4-5-20251001',
+            'claude-3-5-haiku-20241022'
         ]
 
         try {

packages/adapter-doubao/src/client.ts

@@ -18,6 +18,7 @@ import {
 import { Config } from '.'
 import { DoubaoRequester } from './requester'
 import { ChatLunaPlugin } from 'koishi-plugin-chatluna/services/chat'
+import { expandReasoningEffortModelVariants } from '@chatluna/v1-shared-adapter'
 
 export class DouBaoClient extends PlatformModelAndEmbeddingsClient<ClientConfig> {
     platform = 'doubao'
@@ -41,14 +42,16 @@ export class DouBaoClient extends PlatformModelAndEmbeddingsClient<ClientConfig>
 
     async refreshModels(): Promise<ModelInfo[]> {
         const rawModels: [string, number | undefined][] = [
+            ['doubao-seed-1-8-251228', 256000],
             ['doubao-seed-1-6-flash-250715', 256000],
-            ['doubao-seed-1-6-thinking-250715', 256000],
-            ['doubao-seed-1-6-250615', 256000],
-            ['doubao-seed-1-6-250615-non-thinking', 256000],
-            ['doubao-seed-1-6-250615-thinking', 256000],
-            ['doubao-seed-1-6-vision-250815', 256000],
+            ['doubao-seed-1-6-251015', 256000],
+            ['doubao-seed-1-6-lite-251015', 256000],
+            ['doubao-seed-1-6-flash-250828', 256000],
             ['doubao-1.5-vision-pro-250328', 128000],
             ['deepseek-v3-1-250821', 128000],
+            ['deepseek-v3-2-251201', 128000],
+            ['glm-4-7-251222', 200000],
+            ['kimi-k2-thinking-251104', 256000],
             ['kimi-k2-250711', 128000],
             ['doubao-1.5-vision-lite-250315', 128000],
             ['doubao-1-5-thinking-vision-pro-250428', 128000],
@@ -68,9 +71,38 @@ export class DouBaoClient extends PlatformModelAndEmbeddingsClient<ClientConfig>
             'doubao-1.5-vision-lite-250315'
         ]
 
-        const imageInputSupportModels = ['doubao-seed-1-6', 'vision']
+        const reasoningEffortModels = [
+            'doubao-seed-1-6-lite-251015',
+            'doubao-seed-1-6-251015',
+            'doubao-seed-1-8-251228'
+        ]
+
+        const imageInputSupportModels = [
+            'doubao-seed-1-6',
+            'vision',
+            'doubao-seed-1-8'
+        ]
+
+        const expandedModels: [string, number | undefined][] = []
+        const seen = new Set<string>()
+
+        const push = (model: string, token?: number) => {
+            if (seen.has(model)) return
+            seen.add(model)
+            expandedModels.push([model, token])
+        }
+
+        for (const [model, token] of rawModels) {
+            push(model, token)
+
+            if (!reasoningEffortModels.includes(model)) continue
+
+            for (const variant of expandReasoningEffortModelVariants(model)) {
+                push(variant, token)
+            }
+        }
 
-        return rawModels.map(([model, token]) => {
+        return expandedModels.map(([model, token]) => {
             return {
                 name: model,
                 type: model.includes('embedding')

packages/adapter-doubao/src/requester.ts

@@ -16,6 +16,7 @@ import {
     buildChatCompletionParams,
     createEmbeddings,
     createRequestContext,
+    parseOpenAIModelNameWithReasoningEffort,
     processStreamResponse
 } from '@chatluna/v1-shared-adapter'
 import * as fetchType from 'undici/types/fetch'
@@ -49,18 +50,17 @@ export class DoubaoRequester
             this
         )
 
-        let model = params.model
-        let enabledThinking: boolean | undefined = null
-
-        if (model.includes('thinking') && model.slice(-8) === 'thinking') {
-            enabledThinking = !model.includes('-non-thinking')
-            model = model
-                .replace('-non-thinking', '-thinking')
-                .replace('-thinking', '')
-        } else if (
-            model.includes('thinking') &&
-            model.slice(-8) !== 'thinking'
-        ) {
+        const parsedModel = parseOpenAIModelNameWithReasoningEffort(
+            params.model
+        )
+        const model = parsedModel.model
+        let enabledThinking: boolean | undefined
+
+        if (parsedModel.reasoningEffort != null) {
+            enabledThinking = parsedModel.reasoningEffort !== 'none'
+        }
+
+        if (enabledThinking == null && model.includes('thinking')) {
             enabledThinking = true
         }
 
@@ -75,7 +75,7 @@ export class DoubaoRequester
             }
         }
 
-        if (enabledThinking !== null) {
+        if (enabledThinking != null) {
             baseRequest.thinking = {
                 type: enabledThinking ? 'enabled' : 'disabled'
             }

packages/adapter-qwen/src/client.ts

@@ -50,6 +50,8 @@ export class QWenClient extends PlatformModelAndEmbeddingsClient {
             ['qwen-max', 30720],
             ['qwen-max-latest', 131_072],
             ['qwen3-max', 262_144],
+            ['qwen3-max-2026-01-23-thinking', 262_144],
+            ['qwen3-max-2026-01-23-non-thinking', 262_144],
             ['qwen-plus-latest-non-thinking', 1_000_000],
             ['qwen-plus-latest-thinking', 1_000_000],
             ['qwen-turbo-latest-non-thinking', 1_000_000],

packages/adapter-spark/src/client.ts

@@ -43,7 +43,7 @@ export class SparkClient extends PlatformModelClient<SparkClientConfig> {
             ['spark-max', 8192],
             ['spark-max-32k', 32768],
             ['spark-4.0-ultra', 128000],
-            ['spark-x1', 128000]
+            ['spark-x1.5', 128000]
         ] as [string, number][]
         const result: SparkModelInfo[] = []
 
@@ -55,7 +55,7 @@ export class SparkClient extends PlatformModelClient<SparkClientConfig> {
                 capabilities: [
                     (model.startsWith('spark-max') ||
                         model.startsWith('spark-4.0-ultra') ||
-                        model === 'spark-x1') &&
+                        model === 'spark-x1.5') &&
                         ModelCapabilities.ToolCall
                 ]
             })

packages/adapter-wenxin/src/client.ts

@@ -6,6 +6,7 @@ import {
     ChatLunaEmbeddings
 } from 'koishi-plugin-chatluna/llm-core/platform/model'
 import {
+    ModelCapabilities,
     ModelInfo,
     ModelType
 } from 'koishi-plugin-chatluna/llm-core/platform/types'
@@ -17,6 +18,7 @@ import {
 } from 'koishi-plugin-chatluna/utils/error'
 import { WenxinRequester } from './requester'
 import { ChatLunaPlugin } from 'koishi-plugin-chatluna/services/chat'
+import { supportImageInput } from '@chatluna/v1-shared-adapter'
 
 export class WenxinClient extends PlatformModelAndEmbeddingsClient<ClientConfig> {
     platform = 'wenxin'
@@ -40,6 +42,22 @@ export class WenxinClient extends PlatformModelAndEmbeddingsClient<ClientConfig>
 
     async refreshModels(): Promise<ModelInfo[]> {
         const rawModels = [
+            ['ernie-5.0-thinking-preview', 128000], // ERNIE 5.0 Thinking Preview
+            ['ernie-5.0-thinking-latest', 128000], // ERNIE 5.0 Thinking Latest
+            ['ernie-5.0-thinking-exp', 128000], // ERNIE 5.0 Thinking Exp
+            ['ernie-4.5-turbo-128k', 128000], // ERNIE 4.5 Turbo 128K
+            ['ernie-4.5-turbo-128k-preview', 128000], // ERNIE 4.5 Turbo 128K Preview
+            ['ernie-4.5-turbo-32k', 32000], // ERNIE 4.5 Turbo 32K
+            ['ernie-4.5-turbo-latest', 128000], // ERNIE 4.5 Turbo Latest
+            ['ernie-4.5-turbo-vl-preview', 128000], // ERNIE 4.5 Turbo VL Preview
+            ['ernie-4.5-turbo-vl', 128000], // ERNIE 4.5 Turbo VL
+            ['ernie-4.5-turbo-vl-32k', 32000], // ERNIE 4.5 Turbo VL 32K
+            ['ernie-4.5-turbo-vl-32k-preview', 32000], // ERNIE 4.5 Turbo VL 32K Preview
+            ['ernie-4.5-turbo-vl-latest', 128000], // ERNIE 4.5 Turbo VL Latest
+            ['ernie-char-8k', 8000], // ERNIE Character 8K
+            ['ernie-4.5-0.3b', 128000], // ERNIE 4.5 0.3B
+            ['ernie-4.5-21b-a3b', 128000], // ERNIE 4.5 21B A3B
+            ['ernie-4.5-vl-28b-a3b', 32000], // ERNIE 4.5 VL 28B A3B
             ['ernie-4.0-8k', 8000], // ERNIE-4.0-8K
             ['ernie-4.0-8k-preview', 8000], // ERNIE-4.0-8K-Preview
             ['ernie-4.0-8k-latest', 8000], // ERNIE-4.0-8K-Latest
@@ -70,7 +88,9 @@ export class WenxinClient extends PlatformModelAndEmbeddingsClient<ClientConfig>
                 return {
                     name: model,
                     type: ModelType.llm,
-                    capabilities: [],
+                    capabilities: [
+                        supportImageInput(model) && ModelCapabilities.ImageInput
+                    ].filter(Boolean),
                     supportMode: ['all'],
                     maxTokens
                 } as ModelInfo
@@ -111,7 +131,8 @@ export class WenxinClient extends PlatformModelAndEmbeddingsClient<ClientConfig>
                 temperature: this._config.temperature,
                 maxRetries: this._config.maxRetries,
                 llmType: 'wenxin',
-                isThinkModel: model.includes('reasoner')
+                isThinkModel:
+                    model.includes('reasoner') || model.includes('thinking')
             })
         }
 

packages/adapter-wenxin/src/requester.ts

@@ -47,9 +47,12 @@ export class WenxinRequester
     ): AsyncGenerator<ChatGenerationChunk> {
         await this.init()
 
-        const messagesMapped: WenxinMessage[] = langchainMessageToWenXinMessage(
-            params.input
-        )
+        const messagesMapped: WenxinMessage[] =
+            await langchainMessageToWenXinMessage(
+                params.input,
+                this._plugin,
+                params.model
+            )
 
         try {
             const response = await this._post(

packages/adapter-wenxin/src/types.ts

@@ -5,9 +5,25 @@ export type WenxinMessageRole =
     | 'function'
     | 'tool'
 
+export type WenxinMessageContent =
+    | string
+    | (
+          | {
+                type: 'text'
+                text: string
+            }
+          | {
+                type: 'image_url'
+                image_url: {
+                    url: string
+                    detail?: 'low' | 'high'
+                }
+            }
+      )[]
+
 export interface WenxinMessage {
     role: WenxinMessageRole
-    content?: string
+    content?: WenxinMessageContent
 
     name?: string
     tool_calls?: ChatCompletionRequestMessageToolCall[]