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feat: support effort and verbosity #1040
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WalkthroughThis change extends the application's model configuration system to support reasoning effort and verbosity capabilities. It adds effort and verbosity fields to the provider database schema, implements capability checking methods across presenter layers, gates OpenAI provider parameter assignment based on model support, and replaces GPT-5-specific UI logic with generalized capability checks. Changes
Sequence Diagram(s)sequenceDiagram
participant PDB as Provider DB
participant FPS as fetch-provider-db.mjs
participant MC as ModelCapabilities
participant OAI as OpenAI Provider
participant UI as ModelConfigDialog
PDB->>FPS: Extract effort/verbosity from reasoning
FPS->>FPS: Validate & sanitize fields
FPS->>MC: Store validated effort/verbosity
UI->>MC: Check supportsEffort/Verbosity
MC-->>UI: Return capability boolean
UI->>MC: Get effort/verbosity defaults
MC-->>UI: Return defaults
UI->>UI: Render fields conditionally
UI->>OAI: Send request with config
OAI->>MC: Check supportsEffortParameter(modelId)
MC-->>OAI: Return capability
alt Capability supported
OAI->>OAI: Include reasoning_effort param
else Capability not supported
OAI->>OAI: Omit reasoning_effort param
end
OAI-->>UI: Response
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes The changes follow a consistent pattern of adding capability-driven gating across multiple layers (types, presenters, providers, UI), but require separate verification in each domain due to different implementation contexts and integration points. Possibly related PRs
Suggested reviewers
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✅ Passed checks (2 passed)
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Actionable comments posted: 0
🧹 Nitpick comments (2)
src/shared/types/model-db.ts (1)
134-157: Consider consolidating the helper functions.Both
getEffortValueandgetVerbosityValuefollow the same pattern: type check then switch statement for validation. This could be simplified using a generic helper or by leveraging the Zod schema for validation.Example generic helper:
+function getEnumValue<T extends string>(v: unknown, validValues: readonly T[]): T | undefined { + if (typeof v !== 'string') return undefined + return validValues.includes(v as T) ? (v as T) : undefined +} + -function getEffortValue(v: unknown): ReasoningEffort | undefined { - if (typeof v !== 'string') return undefined - switch (v) { - case 'minimal': - case 'low': - case 'medium': - case 'high': - return v - default: - return undefined - } -} +const EFFORT_VALUES = ['minimal', 'low', 'medium', 'high'] as const +const VERBOSITY_VALUES = ['low', 'medium', 'high'] as const + +function getEffortValue(v: unknown): ReasoningEffort | undefined { + return getEnumValue(v, EFFORT_VALUES) +} -function getVerbosityValue(v: unknown): Verbosity | undefined { - if (typeof v !== 'string') return undefined - switch (v) { - case 'low': - case 'medium': - case 'high': - return v - default: - return undefined - } -} +function getVerbosityValue(v: unknown): Verbosity | undefined { + return getEnumValue(v, VERBOSITY_VALUES) +}src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts (1)
75-81: Consider extracting duplicated capability helpers to base class.These helper methods are identical to those in
openAICompatibleProvider.ts(lines 85-91). Since both providers inherit fromBaseLLMProvider, consider moving these methods to the base class to reduce duplication.In
baseProvider.ts:protected supportsEffortParameter(modelId: string): boolean { return modelCapabilities.supportsReasoningEffort(this.provider.id, modelId) } protected supportsVerbosityParameter(modelId: string): boolean { return modelCapabilities.supportsVerbosity(this.provider.id, modelId) }Then remove the private implementations from both OpenAI provider classes.
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📒 Files selected for processing (12)
resources/model-db/providers.json(11 hunks)scripts/fetch-provider-db.mjs(1 hunks)src/main/presenter/configPresenter/index.ts(1 hunks)src/main/presenter/configPresenter/modelCapabilities.ts(1 hunks)src/main/presenter/configPresenter/modelConfig.ts(1 hunks)src/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.ts(3 hunks)src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts(4 hunks)src/renderer/src/components/settings/ModelConfigDialog.vue(6 hunks)src/renderer/src/composables/useChatConfigFields.ts(1 hunks)src/shared/types/model-db.ts(3 hunks)src/shared/types/presenters/legacy.presenters.d.ts(1 hunks)test/main/presenter/providerDbModelConfig.test.ts(2 hunks)
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**/*.{js,jsx,ts,tsx}
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**/*.{ts,tsx}
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设置适当的日志级别
Files:
test/main/presenter/providerDbModelConfig.test.tssrc/shared/types/presenters/legacy.presenters.d.tssrc/renderer/src/composables/useChatConfigFields.tssrc/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/shared/types/model-db.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/main/presenter/configPresenter/modelConfig.ts
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**/*.{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:
test/main/presenter/providerDbModelConfig.test.tssrc/shared/types/presenters/legacy.presenters.d.tssrc/renderer/src/composables/useChatConfigFields.tssrc/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/shared/types/model-db.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/renderer/src/components/settings/ModelConfigDialog.vuesrc/main/presenter/configPresenter/modelConfig.ts
test/**/*
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Place unit and integration tests under the test/ directory mirroring project structure
Files:
test/main/presenter/providerDbModelConfig.test.ts
test/{main,renderer}/**/*
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Mirror source structure for tests under test/main/** and test/renderer/**
Files:
test/main/presenter/providerDbModelConfig.test.ts
test/{main,renderer}/**/*.{test,spec}.ts
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Name test files with .test.ts or .spec.ts
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test/main/presenter/providerDbModelConfig.test.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:
test/main/presenter/providerDbModelConfig.test.tssrc/shared/types/presenters/legacy.presenters.d.tssrc/renderer/src/composables/useChatConfigFields.tssrc/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/shared/types/model-db.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tsresources/model-db/providers.jsonsrc/renderer/src/components/settings/ModelConfigDialog.vuesrc/main/presenter/configPresenter/modelConfig.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:
test/main/presenter/providerDbModelConfig.test.tssrc/shared/types/presenters/legacy.presenters.d.tssrc/renderer/src/composables/useChatConfigFields.tssrc/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/shared/types/model-db.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/renderer/src/components/settings/ModelConfigDialog.vuesrc/main/presenter/configPresenter/modelConfig.ts
src/shared/**/*.{ts,tsx,d.ts}
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共享类型定义放在
shared目录
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src/shared/types/presenters/legacy.presenters.d.tssrc/shared/types/model-db.ts
src/shared/**/*.ts
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Place shared types, utilities, constants, and IPC contract definitions under src/shared/
Files:
src/shared/types/presenters/legacy.presenters.d.tssrc/shared/types/model-db.ts
src/shared/**
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Put shared TypeScript types and utilities under src/shared
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src/shared/types/presenters/legacy.presenters.d.tssrc/shared/types/model-db.ts
src/{main,renderer}/**/*.ts
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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/composables/useChatConfigFields.tssrc/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/main/presenter/configPresenter/modelConfig.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/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/**/*.{vue,ts,js,tsx,jsx}
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渲染进程代码放在
src/renderer
Files:
src/renderer/src/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
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
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src/renderer/src/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/**/*.{ts,tsx,vue}
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src/renderer/**/*.{ts,tsx,vue}: Use descriptive variable names with auxiliary verbs (e.g., isLoading, hasError).
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Use arrow functions for methods and computed properties.
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src/renderer/src/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/**/*.{vue,ts}
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src/renderer/**/*.{ts,vue}
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src/renderer/**/*.{ts,vue}: Use useFetch and useAsyncData for data fetching.
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src/renderer/src/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/src/**
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Place Vue 3 app source under src/renderer/src (components, stores, views, i18n, lib)
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src/renderer/src/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
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/composables/useChatConfigFields.tssrc/renderer/src/components/settings/ModelConfigDialog.vue
src/main/**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/electron-best-practices.mdc)
Use Electron's built-in APIs for file system and native dialogs
Files:
src/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/main/presenter/configPresenter/modelConfig.ts
src/main/**/*.{ts,js,tsx,jsx}
📄 CodeRabbit inference engine (.cursor/rules/project-structure.mdc)
主进程代码放在
src/main
Files:
src/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/main/presenter/configPresenter/modelConfig.ts
src/main/presenter/**/*.ts
📄 CodeRabbit inference engine (AGENTS.md)
Place Electron main-process presenters under src/main/presenter/ (Window, Tab, Thread, Mcp, Config, LLMProvider)
Files:
src/main/presenter/configPresenter/modelCapabilities.tssrc/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/configPresenter/index.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.tssrc/main/presenter/configPresenter/modelConfig.ts
src/main/presenter/llmProviderPresenter/providers/*.ts
📄 CodeRabbit inference engine (.cursor/rules/llm-agent-loop.mdc)
src/main/presenter/llmProviderPresenter/providers/*.ts: Each file insrc/main/presenter/llmProviderPresenter/providers/*.tsshould handle interaction with a specific LLM API, including request/response formatting, tool definition conversion, native/non-native tool call management, and standardizing output streams to a common event format.
Provider implementations must use acoreStreammethod that yields standardized stream events to decouple the main loop from provider-specific details.
ThecoreStreammethod in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.
Provider files should implement helper methods such asformatMessages,convertToProviderTools,parseFunctionCalls, andprepareFunctionCallPromptas needed for provider-specific logic.
All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.
When a provider does not support native function calling, it must prepare messages using prompt wrapping (e.g.,prepareFunctionCallPrompt) before making the API call.
When a provider supports native function calling, MCP tools must be converted to the provider's format (e.g., usingconvertToProviderTools) and included in the API request.
Provider implementations should aggregate and yield usage events as part of the standardized stream.
Provider implementations should yield image data events in the standardized format when applicable.
Provider implementations should yield reasoning events in the standardized format when applicable.
Provider implementations should yield tool call events (tool_call_start,tool_call_chunk,tool_call_end) in the standardized format.
Provider implementations should yield stop events with appropriatestop_reasonin the standardized format.
Provider implementations should yield error events in the standardized format...
Files:
src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.tssrc/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.ts
{build,resources,out,dist}/**
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Treat build outputs and assets (build/, resources/, out/, dist/) as generated artifacts; do not hand-edit
Files:
resources/model-db/providers.json
src/renderer/src/**/*.vue
📄 CodeRabbit inference engine (.cursor/rules/vue-best-practices.mdc)
Use scoped styles to prevent CSS conflicts between components
Files:
src/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/{src,shell,floating}/**/*.vue
📄 CodeRabbit inference engine (CLAUDE.md)
src/renderer/{src,shell,floating}/**/*.vue: Use Vue 3 Composition API for all components
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Use Tailwind CSS utilities and ensure styles are scoped in Vue components
Files:
src/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/src/components/**/*
📄 CodeRabbit inference engine (CLAUDE.md)
Organize UI components by feature within src/renderer/src/
Files:
src/renderer/src/components/settings/ModelConfigDialog.vue
src/renderer/**/*.vue
📄 CodeRabbit inference engine (AGENTS.md)
Name Vue component files in PascalCase (e.g., ChatInput.vue)
Files:
src/renderer/src/components/settings/ModelConfigDialog.vue
🧠 Learnings (1)
📚 Learning: 2025-09-06T03:07:23.817Z
Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-06T03:07:23.817Z
Learning: Applies to src/main/presenter/configPresenter/providers.ts : Add provider configuration entries in src/main/presenter/configPresenter/providers.ts
Applied to files:
src/main/presenter/configPresenter/index.ts
🧬 Code graph analysis (4)
src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts (1)
src/main/presenter/configPresenter/modelCapabilities.ts (1)
modelCapabilities(177-177)
src/main/presenter/configPresenter/index.ts (1)
src/main/presenter/configPresenter/modelCapabilities.ts (1)
modelCapabilities(177-177)
src/shared/types/model-db.ts (1)
scripts/fetch-provider-db.mjs (2)
effort(80-80)verbosity(84-84)
src/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.ts (1)
src/main/presenter/configPresenter/modelCapabilities.ts (1)
modelCapabilities(177-177)
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🔇 Additional comments (22)
src/shared/types/presenters/legacy.presenters.d.ts (1)
399-405: LGTM! Well-structured capability interface additions.The new methods follow established patterns and TypeScript best practices:
- Naming is consistent with existing capability methods (
supportsReasoningCapability,supportsSearchCapability)- Return types use precise literal unions that match field definitions throughout the file (lines 147-148, 740-741, 1388-1389)
- Optional method signatures (
?) maintain backward compatibility- Return type of
| undefinedfor getters clearly indicates when a default isn't availableresources/model-db/providers.json (2)
3333-3369: Clarify file classification: is this a source or generated artifact?The coding guidelines classify
resources/as a generated artifact that should not be hand-edited. However, this PR intentionally modifiesresources/model-db/providers.jsonas a source configuration file. If this file is indeed meant to be manually maintained (as the PR changes suggest), the coding guidelines may need updating to clarify which resources are generated vs. source-maintained.Can you confirm whether
resources/model-db/providers.jsonis:
- A source configuration file that is manually maintained (in which case the guidelines should exclude it), or
- A generated artifact that should not be directly modified?
If it's a source file, I can then verify data consistency across all effort/verbosity assignments.
3333-69869: Verify JSON validity and consistency of the complete file.While the provided code snippets show syntactically correct JSON structures, a full-file validation is needed to ensure:
- No malformed JSON (unclosed braces, missing commas)
- Consistent indentation and formatting per Prettier standards (print width 100)
- All modified reasoning objects have coherent and consistent effort/verbosity assignments
src/renderer/src/composables/useChatConfigFields.ts (1)
211-212: LGTM! Capability-based gating correctly implemented.The change from
isGPT5Model.valueto checkingoptions.verbosity.value !== undefinedproperly generalizes the verbosity field visibility to be capability-driven rather than model-specific. This aligns with the reasoning effort pattern above (line 160) and the broader capability checks introduced across the codebase.src/main/presenter/configPresenter/modelConfig.ts (1)
67-73: LGTM! Type assertions are explicit and correct.The reasoningEffort and verbosity fields are properly populated from the provider model with explicit type assertions. The use of
?? undefinedclearly indicates optional nature, and the type casts to union types ('minimal' | 'low' | 'medium' | 'high' | undefined and 'low' | 'medium' | 'high' | undefined) ensure type safety downstream.scripts/fetch-provider-db.mjs (1)
79-87: LGTM! Sanitization logic is robust.The extraction and validation of effort and verbosity fields follows the established pattern for other reasoning properties. Type checking (
typeof ... === 'string') and value validation (includes()) ensure only valid enum values are propagated to the sanitized schema.test/main/presenter/providerDbModelConfig.test.ts (2)
69-74: LGTM! Mock data correctly includes new fields.The test mock properly includes effort and verbosity in the reasoning object, matching the extended schema structure.
100-101: LGTM! Test assertions validate new fields.The test correctly asserts that reasoningEffort and verbosity are populated from the provider DB configuration.
src/shared/types/model-db.ts (2)
17-18: LGTM! Schema extensions are well-defined.The effort and verbosity fields are properly added to ReasoningSchema with appropriate Zod enum validators and marked as optional, consistent with the schema design.
178-189: LGTM! getReasoning properly extracts new fields.The function correctly extracts effort and verbosity using the helper functions and includes them in the returned object when any reasoning property exists.
src/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.ts (2)
85-91: LGTM! Helper methods properly delegate to capability layer.The private helper methods cleanly encapsulate capability checks by delegating to the modelCapabilities singleton, improving code readability.
658-665: LGTM! Parameter assignment correctly guarded by capabilities.Both reasoningEffort and verbosity parameters are properly gated behind capability checks, ensuring only supported parameters are sent to the API. The pattern is consistent and defensive.
src/main/presenter/configPresenter/modelCapabilities.ts (2)
117-125: LGTM! Capability checks are straightforward and correct.The support check methods properly verify that the reasoning fields exist and are strings, aligning with the schema validation pattern.
127-140: LGTM! Default getters properly validate enum values.The methods safely return default values with proper enum validation, using explicit OR conditions to ensure type safety. Returning undefined for invalid values is a safe fallback.
src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts (2)
242-253: LGTM! Capability guards correctly applied in completion method.The reasoningEffort and verbosity parameters are properly guarded and nested in the correct request structure for this provider.
575-586: LGTM! Capability guards correctly applied in streaming method.The guards consistently protect both the standard completion and streaming paths, ensuring unsupported parameters are never sent.
src/main/presenter/configPresenter/index.ts (1)
234-251: LGTM! Clean capability delegation.The four new methods properly expose reasoning effort and verbosity capabilities by delegating to
modelCapabilities. The implementation is consistent with existing capability methods and follows the established pattern.src/renderer/src/components/settings/ModelConfigDialog.vue (5)
194-194: Good: Generalized comment aligns with capability-driven gating.The comment update removes GPT-5 specific references and correctly describes the new capability-based visibility logic.
601-601: LGTM! Capability-driven computed properties.The new
supportsVerbosityand updatedsupportsReasoningEffortcomputed properties correctly derive UI visibility from capability state using strict boolean checks.Also applies to: 610-610
627-630: Well-typed capability state refs.The new refs for effort and verbosity capabilities use appropriate nullable types and follow the established pattern for capability state management.
640-668: Solid capability fetching implementation.The
fetchCapabilitiesfunction correctly:
- Fetches effort and verbosity capabilities in parallel with existing checks
- Populates the new state refs with results
- Resets capability state on error to prevent stale data
485-497: Correct default application logic.The initialization properly applies capability defaults for effort and verbosity only when:
- The config is not user-defined (preserves user customization)
- The capability is supported
- No existing value is set
This ensures defaults are applied appropriately without overwriting user preferences.
* 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>
Parse reasoning.effort and reasoning.verbosity from Provider DB and sanitize into model schema
Summary by CodeRabbit