feat: enable custom model config for Ollama provider #1018
Conversation
WalkthroughRefactors Ollama model handling to use per-model metadata, capability-derived typing, and batch status mapping. Updates the settings store to asynchronously merge local Ollama models into global lists with enriched fields. Adjusts the Ollama settings component to new event names, bindings, and metadata-driven rendering and enables model status updates. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant UI as Settings UI (Ollama)
participant Store as Settings Store
participant Ollama as Ollama Local Models
participant Status as Status Service
rect rgba(200,230,255,0.3)
note over UI,Store: Sync local Ollama models into global lists
UI->>Store: refreshProviderModels()
Store->>Ollama: listLocalModels()
Store->>Status: getBatchModelStatus(modelIds)
Status-->>Store: modelStatusMap
Store->>Store: merge config + existing + capabilities -> enriched models
Store-->>UI: update allProviderModels, enabledModels
end
sequenceDiagram
autonumber
participant UI as Settings UI (Ollama)
participant Store as Settings Store
rect rgba(220,255,220,0.35)
note over UI,Store: Toggle per-model enabled status
UI->>Store: setModelStatus(modelId, enabled)
Store-->>UI: success | error (log on failure)
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly related PRs
Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting
There was a problem hiding this comment.
Actionable comments posted: 1
🧹 Nitpick comments (6)
src/renderer/src/stores/settings.ts (1)
1212-1226: Strongly typemodelConfigto avoid silent shape drift
modelConfigis used for fields like contextLength, maxTokens, type, vision, functionCall, reasoning, enableSearch, temperature, etc., but is untyped. Define a config type and use it here for safety.Example:
type OllamaModelConfig = { contextLength?: number maxTokens?: number type?: ModelType vision?: boolean functionCall?: boolean reasoning?: boolean enableSearch?: boolean temperature?: number reasoningEffort?: string verbosity?: string thinkingBudget?: number forcedSearch?: boolean searchStrategy?: string } const modelConfig = (await configP.getModelConfig(model.name, 'ollama')) as OllamaModelConfigAs per coding guidelines
src/renderer/settings/components/OllamaProviderSettingsDetail.vue (5)
132-144: EnsureModelConfigItememits new kebab-case events and supports new propsYou switched to
@enabled-change,@config-changed,@delete-modeland added props likeenable-search. Verify the child component’s emits/props are updated to match; otherwise, handlers won’t fire.If not already done, update ModelConfigItem’s
emitsand prop definitions accordingly.
749-782: Improve type-safety and capability derivation in display modelsAvoid
anyand use the sharedOllamaModeltype; keep capability sources typed.Apply this diff:
-const displayLocalModels = computed(() => { - const metaMap = new Map<string, RENDERER_MODEL_META & { ollamaModel?: any }>( +const displayLocalModels = computed(() => { + const metaMap = new Map<string, RENDERER_MODEL_META & { ollamaModel?: import('@shared/presenter').OllamaModel }>( providerModelMetas.value.map((meta) => [ meta.id, - meta as RENDERER_MODEL_META & { ollamaModel?: any } + meta as RENDERER_MODEL_META & { ollamaModel?: import('@shared/presenter').OllamaModel } ]) ) - const models = localModels.value.map((model: any) => { + const models = localModels.value.map((model) => { const meta = metaMap.get(model.name) const capabilitySources: string[] = [] if (Array.isArray(model?.capabilities)) { capabilitySources.push(...model.capabilities) } - if (meta?.ollamaModel && Array.isArray(meta.ollamaModel?.capabilities)) { + if (meta?.ollamaModel && Array.isArray(meta.ollamaModel?.capabilities)) { capabilitySources.push(...(meta.ollamaModel.capabilities as string[])) } const capabilitySet = new Set(capabilitySources)As per coding guidelines
785-823: Include capabilities for placeholder pulling entries; keep typing consistentWhen adding pulling models, populate capabilities from meta if available, and keep types tight.
Apply this diff:
- models.unshift({ + models.unshift({ name: modelName, model: modelName, modified_at: new Date(), size: 0, digest: '', details: { format: '', family: '', families: [], parameter_size: '', quantization_level: '' }, model_info: { context_length: meta?.contextLength ?? 0, embedding_length: 0 }, - capabilities: [], + capabilities: Array.isArray(meta?.ollamaModel?.capabilities) + ? (meta!.ollamaModel!.capabilities as string[]) + : [], pulling: true, progress, meta, enabled: meta?.enabled ?? true, vision: meta?.vision ?? capabilitySet.has('vision'), functionCall: meta?.functionCall ?? capabilitySet.has('tools'), reasoning: meta?.reasoning ?? capabilitySet.has('thinking'), enableSearch: meta?.enableSearch ?? false, type: resolvedType })
874-880: Optional: optimistic UI for enable toggleConsider optimistically updating local state to reduce flicker, then revert on failure.
Example:
const prev = model.enabled updateLocalState(modelName, enabled) // local optimistic update try { await settingsStore.updateModelStatus(props.provider.id, modelName, enabled) } catch (e) { updateLocalState(modelName, prev) // revert console.error(`Failed to update model status for ${modelName}:`, e) }
6-7: Internationalize static labelsLabels 'API URL' and 'API Key' should use i18n keys like other strings.
Replace with something like:
<Label :for="`${provider.id}-url`" class="flex-1 cursor-pointer">{{ t('settings.provider.apiUrl') }}</Label> <Label :for="`${provider.id}-apikey`" class="flex-1 cursor-pointer">{{ t('settings.provider.apiKey') }}</Label>As per coding guidelines
Also applies to: 25-26
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
src/renderer/settings/components/OllamaProviderSettingsDetail.vue(5 hunks)src/renderer/src/stores/settings.ts(1 hunks)
🧰 Additional context used
📓 Path-based instructions (17)
src/renderer/**/*.{vue,ts,js,tsx,jsx}
📄 CodeRabbit inference engine (.cursor/rules/project-structure.mdc)
渲染进程代码放在
src/renderer
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
src/renderer/**/*.{ts,tsx,vue}
📄 CodeRabbit inference engine (.cursor/rules/vue-shadcn.mdc)
src/renderer/**/*.{ts,tsx,vue}: Use descriptive variable names with auxiliary verbs (e.g., isLoading, hasError).
Use TypeScript for all code; prefer types over interfaces.
Avoid enums; use const objects instead.
Use arrow functions for methods and computed properties.
Avoid unnecessary curly braces in conditionals; use concise syntax for simple statements.
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
src/renderer/**/*.{vue,ts}
📄 CodeRabbit inference engine (.cursor/rules/vue-shadcn.mdc)
Implement lazy loading for routes and components.
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
src/renderer/**/*.{ts,vue}
📄 CodeRabbit inference engine (.cursor/rules/vue-shadcn.mdc)
src/renderer/**/*.{ts,vue}: Use useFetch and useAsyncData for data fetching.
Implement SEO best practices using Nuxt's useHead and useSeoMeta.Use Pinia for frontend state management (do not introduce alternative state libraries)
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
**/*.{ts,tsx,js,vue}
📄 CodeRabbit inference engine (CLAUDE.md)
Use English for all logs and comments
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
**/*.{ts,tsx,vue}
📄 CodeRabbit inference engine (CLAUDE.md)
Enable and adhere to strict TypeScript typing (avoid implicit any, prefer precise types)
Use PascalCase for TypeScript types and classes
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
**/*.{ts,tsx,js,jsx,vue,css,scss,md,json,yml,yaml}
📄 CodeRabbit inference engine (AGENTS.md)
Prettier style: single quotes, no semicolons, print width 100; run pnpm run format
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
**/*.{ts,tsx,js,jsx,vue}
📄 CodeRabbit inference engine (AGENTS.md)
**/*.{ts,tsx,js,jsx,vue}: Use OxLint for JS/TS code; keep lint clean
Use camelCase for variables and functions
Use SCREAMING_SNAKE_CASE for constants
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vuesrc/renderer/src/stores/settings.ts
src/renderer/**/*.vue
📄 CodeRabbit inference engine (AGENTS.md)
Name Vue component files in PascalCase (e.g., ChatInput.vue)
Files:
src/renderer/settings/components/OllamaProviderSettingsDetail.vue
**/*.{js,jsx,ts,tsx}
📄 CodeRabbit inference engine (.cursor/rules/development-setup.mdc)
**/*.{js,jsx,ts,tsx}: 使用 OxLint 进行代码检查
Log和注释使用英文书写
Files:
src/renderer/src/stores/settings.ts
src/{main,renderer}/**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/electron-best-practices.mdc)
src/{main,renderer}/**/*.ts: Use context isolation for improved security
Implement proper inter-process communication (IPC) patterns
Optimize application startup time with lazy loading
Implement proper error handling and logging for debugging
Files:
src/renderer/src/stores/settings.ts
**/*.{ts,tsx}
📄 CodeRabbit inference engine (.cursor/rules/error-logging.mdc)
**/*.{ts,tsx}: 始终使用 try-catch 处理可能的错误
提供有意义的错误信息
记录详细的错误日志
优雅降级处理
日志应包含时间戳、日志级别、错误代码、错误描述、堆栈跟踪（如适用）、相关上下文信息
日志级别应包括 ERROR、WARN、INFO、DEBUG
不要吞掉错误
提供用户友好的错误信息
实现错误重试机制
避免记录敏感信息
使用结构化日志
设置适当的日志级别
Files:
src/renderer/src/stores/settings.ts
src/renderer/src/**/*
📄 CodeRabbit inference engine (.cursor/rules/i18n.mdc)
src/renderer/src/**/*: All user-facing strings must use i18n keys (avoid hardcoded user-visible text in code)
Use the 'vue-i18n' framework for all internationalization in the renderer
Ensure all user-visible text in the renderer uses the translation system
Files:
src/renderer/src/stores/settings.ts
src/renderer/src/stores/**/*.{vue,ts,tsx,js,jsx}
📄 CodeRabbit inference engine (.cursor/rules/pinia-best-practices.mdc)
src/renderer/src/stores/**/*.{vue,ts,tsx,js,jsx}: Use modules to organize related state and actions
Implement proper state persistence for maintaining data across sessions
Use getters for computed state properties
Utilize actions for side effects and asynchronous operations
Keep the store focused on global state, not component-specific data
Files:
src/renderer/src/stores/settings.ts
src/renderer/src/**/*.{vue,ts,tsx,js,jsx}
📄 CodeRabbit inference engine (.cursor/rules/vue-best-practices.mdc)
src/renderer/src/**/*.{vue,ts,tsx,js,jsx}: Use the Composition API for better code organization and reusability
Implement proper state management with Pinia
Utilize Vue Router for navigation and route management
Leverage Vue's built-in reactivity system for efficient data handling
Files:
src/renderer/src/stores/settings.ts
src/renderer/src/**
📄 CodeRabbit inference engine (AGENTS.md)
Place Vue 3 app source under src/renderer/src (components, stores, views, i18n, lib)
Files:
src/renderer/src/stores/settings.ts
src/renderer/src/**/*.{vue,ts}
📄 CodeRabbit inference engine (AGENTS.md)
All user-facing strings must use vue-i18n ($t/keys) rather than hardcoded literals
Files:
src/renderer/src/stores/settings.ts
🧬 Code graph analysis (1)
src/renderer/src/stores/settings.ts (1)
src/shared/types/presenters/legacy.presenters.d.ts (2)
RENDERER_MODEL_META(543-557)OllamaModel(1079-1101)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: build-check (x64)
🔇 Additional comments (2)
src/renderer/settings/components/OllamaProviderSettingsDetail.vue (2)
283-283: Type import addition is correctImporting
RENDERER_MODEL_METAhere is appropriate for meta-driven rendering.
310-314: Good: deriving provider model metas from the storeThis keeps the UI aligned with normalized global models.
| const existingModelMap = new Map<string, RENDERER_MODEL_META & { ollamaModel?: OllamaModel }>( | ||
| existingOllamaModels.map((model) => [ | ||
| model.id, | ||
| model as RENDERER_MODEL_META & { ollamaModel?: OllamaModel } | ||
| ]) | ||
| ) | ||
|
|
||
| const modelNames = ollamaLocalModels.value.map((model) => model.name) | ||
| const modelStatusMap = | ||
| modelNames.length > 0 ? await configP.getBatchModelStatus('ollama', modelNames) : {} | ||
|
|
||
| // 将 Ollama 本地模型转换为全局模型格式 | ||
| const ollamaModelsAsGlobal = ollamaLocalModels.value.map((model) => { | ||
| // 检查是否已存在相同ID的模型，如果存在，保留其现有的配置 | ||
| const existingModel = existingOllamaModels.find((m) => m.id === model.name) | ||
| const ollamaModelsAsGlobal = await Promise.all( | ||
| ollamaLocalModels.value.map(async (model) => { | ||
| const existingModel = existingModelMap.get(model.name) | ||
| const existingModelExtra = existingModel as | ||
| | (RENDERER_MODEL_META & { | ||
| temperature?: number | ||
| reasoningEffort?: string | ||
| verbosity?: string | ||
| thinkingBudget?: number | ||
| forcedSearch?: boolean | ||
| searchStrategy?: string | ||
| }) | ||
| | undefined | ||
| const modelConfig = await configP.getModelConfig(model.name, 'ollama') | ||
|
|
||
| return { | ||
| id: model.name, | ||
| name: model.name, | ||
| contextLength: model.model_info.context_length || 4096, // 使用模型定义值或默认值 | ||
| maxTokens: existingModel?.maxTokens || 2048, // 使用现有值或默认值 | ||
| provider: 'ollama', | ||
| group: existingModel?.group || 'local', | ||
| enabled: true, | ||
| isCustom: existingModel?.isCustom || false, | ||
| providerId: 'ollama', | ||
| vision: model.capabilities.indexOf('vision') > -1, | ||
| functionCall: model.capabilities.indexOf('tools') > -1, | ||
| reasoning: model.capabilities.indexOf('thinking') > -1, | ||
| type: model.capabilities.indexOf('embedding') > -1 ? ModelType.Embedding : ModelType.Chat, | ||
| // 保留现有的其他配置，但确保更新 Ollama 特有数据 | ||
| ...(existingModel ? { ...existingModel } : {}), | ||
| ollamaModel: model | ||
| } as RENDERER_MODEL_META & { ollamaModel: OllamaModel } | ||
| }) | ||
| const capabilitySources: string[] = [] | ||
| if (Array.isArray((model as any)?.capabilities)) { | ||
| capabilitySources.push(...((model as any).capabilities as string[])) | ||
| } | ||
| if ( | ||
| existingModel?.ollamaModel && | ||
| Array.isArray((existingModel.ollamaModel as any)?.capabilities) | ||
| ) { | ||
| capabilitySources.push(...((existingModel.ollamaModel as any).capabilities as string[])) | ||
| } | ||
| const capabilitySet = new Set(capabilitySources) | ||
|
|
||
| const contextLength = | ||
| modelConfig?.contextLength ?? | ||
| existingModel?.contextLength ?? | ||
| (model as any)?.model_info?.context_length ?? | ||
| 4096 | ||
|
|
||
| const maxTokens = modelConfig?.maxTokens ?? existingModel?.maxTokens ?? 2048 | ||
|
|
||
| const statusFromStore = modelStatusMap[model.name] | ||
| const enabled = statusFromStore ?? existingModel?.enabled ?? true | ||
|
|
||
| const type = | ||
| modelConfig?.type ?? | ||
| existingModel?.type ?? | ||
| (capabilitySet.has('embedding') ? ModelType.Embedding : ModelType.Chat) | ||
|
|
||
| return { | ||
| ...existingModel, | ||
| id: model.name, | ||
| name: model.name, | ||
| contextLength, | ||
| maxTokens, | ||
| provider: 'ollama', | ||
| group: existingModel?.group || 'local', | ||
| enabled, | ||
| isCustom: existingModel?.isCustom || false, | ||
| providerId: 'ollama', | ||
| vision: modelConfig?.vision ?? existingModel?.vision ?? capabilitySet.has('vision'), | ||
| functionCall: | ||
| modelConfig?.functionCall ?? existingModel?.functionCall ?? capabilitySet.has('tools'), | ||
| reasoning: | ||
| modelConfig?.reasoning ?? existingModel?.reasoning ?? capabilitySet.has('thinking'), | ||
| enableSearch: modelConfig?.enableSearch ?? existingModel?.enableSearch ?? false, | ||
| temperature: modelConfig?.temperature ?? existingModelExtra?.temperature, | ||
| reasoningEffort: modelConfig?.reasoningEffort ?? existingModelExtra?.reasoningEffort, | ||
| verbosity: modelConfig?.verbosity ?? existingModelExtra?.verbosity, | ||
| thinkingBudget: modelConfig?.thinkingBudget ?? existingModelExtra?.thinkingBudget, | ||
| forcedSearch: modelConfig?.forcedSearch ?? existingModelExtra?.forcedSearch, | ||
| searchStrategy: modelConfig?.searchStrategy ?? existingModelExtra?.searchStrategy, | ||
| type, | ||
| ollamaModel: model | ||
| } as RENDERER_MODEL_META & { ollamaModel: OllamaModel } | ||
| }) | ||
| ) |
There was a problem hiding this comment.
Prevent disabled Ollama models from surfacing; drop non-typed field; reduce IPC overhead
- Do not add disabled provider models to enabledModels or search assistant candidates. Gate by provider.enable.
- Remove the extraneous
providerfield (not in RENDERER_MODEL_META); keepproviderId. - Consider batching config retrieval to avoid per-model IPC calls.
Apply these diffs:
- Remove non-typed
providerand gate enabledModels/search assistant by provider status:
return {
...existingModel,
id: model.name,
name: model.name,
contextLength,
maxTokens,
- provider: 'ollama',
group: existingModel?.group || 'local',
enabled,
isCustom: existingModel?.isCustom || false,
providerId: 'ollama',
...
} as RENDERER_MODEL_META & { ollamaModel: OllamaModel }- const enabledIndex = enabledModels.value.findIndex((item) => item.providerId === 'ollama')
- const enabledOllamaModels = ollamaModelsAsGlobal.filter((model) => model.enabled)
- if (enabledIndex !== -1) {
- enabledModels.value[enabledIndex].models = enabledOllamaModels
- } else if (enabledOllamaModels.length > 0) {
- enabledModels.value.push({
- providerId: 'ollama',
- models: enabledOllamaModels
- })
- }
+ if (ollamaProvider.enable) {
+ const enabledIndex = enabledModels.value.findIndex((item) => item.providerId === 'ollama')
+ const enabledOllamaModels = ollamaModelsAsGlobal.filter((model) => model.enabled)
+ if (enabledIndex !== -1) {
+ enabledModels.value[enabledIndex].models = enabledOllamaModels
+ } else if (enabledOllamaModels.length > 0) {
+ enabledModels.value.push({
+ providerId: 'ollama',
+ models: enabledOllamaModels
+ })
+ }
+ }- await initOrUpdateSearchAssistantModel()
+ if (ollamaProvider.enable) {
+ await initOrUpdateSearchAssistantModel()
+ }- Optional: batch-fetch model configs to reduce IPC calls:
- const ollamaModelsAsGlobal = await Promise.all(
- ollamaLocalModels.value.map(async (model) => {
- const modelConfig = await configP.getModelConfig(model.name, 'ollama')
+ // const configs = await configP.getBatchModelConfig?.('ollama', modelNames) ?? {}
+ const ollamaModelsAsGlobal = await Promise.all(
+ ollamaLocalModels.value.map(async (model) => {
+ const modelConfig = await configP.getModelConfig(model.name, 'ollama')
...If getBatchModelConfig doesn’t exist, consider adding it to the presenter for better performance.
As per coding guidelines
Also applies to: 1298-1312, 1310-1312
|
fixed #1017 |
* style(settings): format about page link handler (#1016) * style(ollama): format model config handlers (#1018) * fix: think content scroll issue (#1023) * fix: remove shimmer for think content * chore: update screen shot and fix scroll issue * chore: update markdown renderer * fix: import button bug and prevent backup overwriting during import (#1024) * fix(sync): fix import button bug and prevent backup overwriting during import * fix(sync): fix import button bug and prevent backup overwriting during import * fix(sync): fix import button bug and prevent backup overwriting during import * refactor(messageList): refactor message list ui components (#1026) * feat: remove new thread button, add clean button. * refactor(messageList): refactor message list ui components * feat: add configurable fields for chat settings - Introduced ConfigFieldHeader component for consistent field headers. - Added ConfigInputField, ConfigSelectField, ConfigSliderField, and ConfigSwitchField components for various input types. - Created types for field configurations in types.ts to standardize field definitions. - Implemented useChatConfigFields composable to manage field configurations dynamically. - Added useModelCapabilities and useModelTypeDetection composables for handling model-specific capabilities and requirements. - Developed useSearchConfig and useThinkingBudget composables for managing search and budget configurations. * feat: implement input history management in prompt input - Added `useInputHistory` composable for managing input history and navigation. - Implemented methods for setting, clearing, and confirming history placeholders. - Integrated arrow key navigation for browsing through input history. feat: enhance mention data handling in prompt input - Created `useMentionData` composable to aggregate mention data from selected files and MCP resources. - Implemented watchers to update mention data based on selected files, MCP resources, tools, and prompts. feat: manage prompt input configuration with store synchronization - Developed `usePromptInputConfig` composable for managing model configuration. - Implemented bidirectional sync between local config and chat store. - Added debounced watcher to reduce updates and improve performance. feat: streamline TipTap editor operations in prompt input - Introduced `usePromptInputEditor` composable for managing TipTap editor lifecycle and content transformation. - Implemented methods for handling mentions, pasting content, and clearing editor content. feat: handle file operations in prompt input - Created `usePromptInputFiles` composable for managing file selection, paste, and drag-drop operations. - Implemented methods for processing files, handling dropped files, and clearing selected files. feat: manage rate limit status in prompt input - Developed `useRateLimitStatus` composable for displaying and polling rate limit status. - Implemented methods for handling rate limit events and computing status icons, classes, and tooltips. * refactor(artifacts): migrate component logic to composables and update documentation - Refactor ArtifactDialog.vue to use composables for view mode, viewport size, code editor, and export functionality - Simplify HTMLArtifact.vue by removing drag-resize logic and using fixed viewport dimensions - Clean up MermaidArtifact.vue styling and structure - Update component refactoring guide to reflect new patterns and best practices - Adjust prompt input composable to allow delayed editor initialization - Update internationalization files for new responsive label * fix(lint): unused variables * fix(format): format code * CodeRabbit Generated Unit Tests: Add renderer unit tests for components and composables * feat: implement input history management in chat input component - Added `useInputHistory` composable for managing input history and placeholder navigation. - Implemented methods for setting, clearing, and confirming history placeholders. - Integrated arrow key navigation for cycling through input history. feat: enhance mention data handling in chat input - Created `useMentionData` composable to manage mention data aggregation. - Implemented watchers for selected files and MCP resources/tools/prompts to update mention data. feat: manage prompt input configuration and synchronization - Developed `usePromptInputConfig` composable for managing model configuration. - Implemented bidirectional sync between local config refs and chat store. - Added debounced watcher to reduce updates to the store. feat: manage prompt input editor operations - Introduced `usePromptInputEditor` composable for handling TipTap editor operations. - Implemented content transformation, mention insertion, and paste handling. - Added methods for handling editor updates and restoring focus. feat: handle prompt input files management - Created `usePromptInputFiles` composable for managing file operations in prompt input. - Implemented file selection, paste, drag-drop, and prompt files integration. feat: implement rate limit status management - Developed `useRateLimitStatus` composable for managing rate limit status display and polling. - Added methods for retrieving rate limit status icon, class, tooltip, and wait time formatting. * feat: enhance chat input component with context length management and settings integration * feat: update model configuration and enhance error handling in providers * feat: add MCP tools list component and integrate with chat settings feat: enhance artifact dialog with improved error handling and localization fix: update Mermaid artifact rendering error handling and localization fix: improve input settings error handling and state management fix: update drag and drop composable to handle drag events correctly fix: update Vitest configuration for better project structure and alias resolution * fix(i18n): add unknownError translation --------- Co-authored-by: deepinsect <deepinsect@github.com> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * feat: add Poe provider integration and icon support (#1028) * feat: add Poe provider integration and icon support * chore: format and lint --------- Co-authored-by: zerob13 <zerob13@gmail.com> * fix: make auto scroll works (#1030) * fix: allow settings window links to open externally (#1029) * fix(settings): allow target blank links * fix: harden settings window link handling * feat: enhance GitHub Copilot Device Flow with OAuth token management and API token retrieval (#1021) * feat: enhance GitHub Copilot Device Flow with OAuth token management and API token retrieval - Fixed request header for managing OAuth tokens and retrieving API tokens. - Enhanced model definitions and added new models for better compatibility. * fix: remove privacy related log * fix: OAuth 2.0 for slow_down response * fix: handle lint errors * fix: provider fetched from publicdb * fix(githubCopilotProvider): update request body logging format for clarity * fix(githubCopilotProvider): improve error handling and logging in device flow * feat(theme): fix message paragraph gap and toolcall block (#1031) Co-authored-by: deepinsect <deepinsect@github.com> * fix: scroll to bottom (#1034) * fix: add debounce for renderer * feat: add max wait for renderer * chore(deps): upgrade markdown renderer add worker support * chore: bump markdown version * fix(build): use es module worker format (#1037) * feat: remove function deleteOllamaModel (#1036) * feat: remove function deleteOllamaModel * fix(build): use es module worker format (#1037) --------- Co-authored-by: duskzhen <zerob13@gmail.com> * perf: update dependencies to use stream-monaco and bump vue-renderer-markdown version (#1038) * feat(theme): add markdown layout style and table style (#1039) * feat(theme): add markdown layout style and table style * fix(lint): remove props --------- Co-authored-by: deepinsect <deepinsect@github.com> * feat: support effort and verbosity (#1040) * chore: bump up version * feat: add jiekou.ai as LLM provider (#1041) * feat: add jiekou.ai as LLM provider * fix: change api type to jiekou --------- Co-authored-by: zerob13 <zerob13@gmail.com> * chore: update provider db --------- Co-authored-by: 韦伟 <xweimvp@gmail.com> Co-authored-by: Happer <ericted8810us@gmail.com> Co-authored-by: deepinsect <deepinsect@github.com> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Co-authored-by: cp90 <153345481+cp90-pixel@users.noreply.github.com> Co-authored-by: Cedric <14017092+douyixuan@users.noreply.github.com> Co-authored-by: Simon He <57086651+Simon-He95@users.noreply.github.com> Co-authored-by: yyhhyyyyyy <yyhhyyyyyy8@gmail.com> Co-authored-by: cnJasonZ <gbdzxalbb@qq.com>
Summary
Testing
https://chatgpt.com/codex/tasks/task_e_68ef64391c28832c99ab056c811faf49
Summary by CodeRabbit