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@zerob13 zerob13 commented Dec 3, 2025

Summary by CodeRabbit

  • Bug Fixes
    • Fixed variant selection preservation during conversation creation, ensuring user-selected variants remain properly accessible and maintained when creating new conversation branches.
    • Enhanced tool interaction processing to only include completed exchanges in conversation history, preventing incomplete tool interactions from affecting conversation accuracy and reliability.

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coderabbitai bot commented Dec 3, 2025

Walkthrough

Two focused enhancements: initialization of selectedVariantsMap during settings copy in conversation creation, and guarding tool_call processing in promptBuilder to only create tool response entries when a response actually exists.

Changes

Cohort / File(s) Summary
Settings initialization
src/main/presenter/threadPresenter/managers/conversationManager.ts
Initialize defaultSettings.selectedVariantsMap = {} when copying settings from latestConversation during conversation creation to ensure the property exists in merged defaults.
Tool response handling
src/main/presenter/threadPresenter/utils/promptBuilder.ts
Guard tool_call entry processing by checking for block.tool_call.response existence; only add tool_call and generate toolCallId when a response is present. Added clarifying comments.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

  • Single property initialization in conversationManager is straightforward
  • Tool response guard logic requires understanding the response structure and its impact on pairing behavior
  • Both changes are localized with minimal surface area

Possibly related PRs

  • ThinkInAIXYZ/deepchat#1081: Directly related—both PRs modify promptBuilder logic for handling tool_calls and tool responses, ensuring entries and IDs are only created when responses exist.

Poem

🐰 A map springs to life, initialized with care,
Tool responses now guard their rightful share,
No orphaned calls in the code so bright,
Just matched pairs dancing through the night! ✨

Pre-merge checks and finishing touches

❌ Failed checks (1 warning, 1 inconclusive)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Title check ❓ Inconclusive The title 'fix: toolcall failed on deepseek' is partially related to the changeset. It references the tool call fix but is vague about the specific issue being addressed and lacks detail about the actual changes. Consider making the title more specific about the actual fix, such as 'fix: initialize selectedVariantsMap in conversation settings and guard tool_call response handling' to better reflect the scope of changes.
✅ Passed checks (1 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch bugfix/toolcall-id

📜 Recent review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 5638862 and dc8384f.

📒 Files selected for processing (2)
  • src/main/presenter/threadPresenter/managers/conversationManager.ts (1 hunks)
  • src/main/presenter/threadPresenter/utils/promptBuilder.ts (1 hunks)
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**/*.{ts,tsx,js,jsx,vue}

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  • src/main/presenter/threadPresenter/managers/conversationManager.ts
  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
**/*.{ts,tsx}

📄 CodeRabbit inference engine (CLAUDE.md)

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**/*.{ts,tsx}: Always use try-catch to handle possible errors in TypeScript code
Provide meaningful error messages when catching errors
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Distinguish and handle different error types (UserError, NetworkError, SystemError, BusinessError) with appropriate handlers in TypeScript
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Files:

  • src/main/presenter/threadPresenter/managers/conversationManager.ts
  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
src/main/presenter/**/*.ts

📄 CodeRabbit inference engine (CLAUDE.md)

Organize core business logic into dedicated Presenter classes, with one presenter per functional domain

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  • src/main/presenter/threadPresenter/managers/conversationManager.ts
  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
src/main/**/*.ts

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src/main/**/*.ts: Use EventBus pattern for inter-process communication within the main process to decouple modules
Use Electron's built-in APIs for file system and native dialogs instead of Node.js or custom implementations

src/main/**/*.ts: Electron main process code belongs in src/main/ with presenters in presenter/ (Window/Tab/Thread/Mcp/Config/LLMProvider) and eventbus.ts for app events
Use the Presenter pattern in the main process for UI coordination

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  • src/main/presenter/threadPresenter/managers/conversationManager.ts
  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
**/*.ts

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  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
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{src/main/presenter/**/*.ts,src/renderer/**/*.ts}

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src/**/*.{ts,tsx,js,jsx}

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src/**/*.ts

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Use EventBus for inter-process communication events

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🧠 Learnings (10)
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : In Provider implementations, handle native tool support by converting MCP tools to Provider format using `convertToProviderTools` and including them in the API request; for Providers without native function call support, prepare messages using `prepareFunctionCallPrompt` before making the API call

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : In `src/main/presenter/llmProviderPresenter/index.ts`, listen for standardized events yielded by `coreStream` and handle them accordingly: buffer text content (`currentContent`), handle `tool_call_start/chunk/end` events by collecting tool details and calling `presenter.mcpPresenter.callTool`, send frontend events via `eventBus` with tool call status, format tool results for the next LLM call, and set `needContinueConversation = true`

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : In Provider implementations, include helper methods for Provider-specific operations such as `formatMessages`, `convertToProviderTools`, `parseFunctionCalls`, and `prepareFunctionCallPrompt`

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : In `src/main/presenter/llmProviderPresenter/index.ts`, handle `stop` events by checking `stop_reason`: if `'tool_use'`, add the buffered assistant message and prepare for the next loop iteration; otherwise, add the final assistant message and exit the loop

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : In `src/main/presenter/llmProviderPresenter/index.ts` (`startStreamCompletion`), implement the Agent loop that manages the overall conversation flow, including multiple rounds of LLM calls and tool usage, maintaining `conversationMessages` history, calling `provider.coreStream()` on each iteration, and controlling the loop using `needContinueConversation` and `toolCallCount` (compared against `MAX_TOOL_CALLS`)

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:39.200Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/provider-guidelines.mdc:0-0
Timestamp: 2025-11-25T05:27:39.200Z
Learning: Applies to **/*Provider**/index.ts : Tool call events: strictly follow sequence `tool_call_start → tool_call_chunk* → tool_call_end`, ensure `tool_call_id` is required and stable

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Implement separation of concerns where `src/main/presenter/llmProviderPresenter/index.ts` manages the Agent loop and conversation history, while Provider files handle LLM API interactions, Provider-specific request/response formatting, tool definition conversion, and native vs non-native tool call mechanisms

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:26:11.312Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: CLAUDE.md:0-0
Timestamp: 2025-11-25T05:26:11.312Z
Learning: Applies to src/main/presenter/configPresenter/**/*.ts : Store and retrieve custom prompts via `configPresenter.getCustomPrompts()` for config-based data source management

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:27:12.209Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-11-25T05:27:12.209Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : In Provider implementations (`src/main/presenter/llmProviderPresenter/providers/*.ts`), the `coreStream(messages, modelId, temperature, maxTokens)` method should perform a *single-pass* streaming API request for each conversation round without containing multi-turn tool call loop logic

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
📚 Learning: 2025-11-25T05:26:11.312Z
Learnt from: CR
Repo: ThinkInAIXYZ/deepchat PR: 0
File: CLAUDE.md:0-0
Timestamp: 2025-11-25T05:26:11.312Z
Learning: Applies to src/main/presenter/mcpPresenter/**/*.ts : Register new MCP tools in `mcpPresenter/index.ts` after implementing them in `inMemoryServers/`

Applied to files:

  • src/main/presenter/threadPresenter/utils/promptBuilder.ts
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  • GitHub Check: build-check (x64)
🔇 Additional comments (2)
src/main/presenter/threadPresenter/managers/conversationManager.ts (1)

177-186: LGTM! Defensive initialization ensures property consistency.

The initialization of selectedVariantsMap = {} when copying settings from the latest conversation is appropriate. This ensures the property exists for later use (e.g., in forkConversation at line 407) and is consistent with how other session-specific properties are cleared.

src/main/presenter/threadPresenter/utils/promptBuilder.ts (1)

474-491: LGTM! Critical fix for incomplete tool calls.

The guard if (block.tool_call.response) correctly ensures that only completed tool calls are added to the message context. This prevents inconsistencies where a tool_call is present without a corresponding response, which aligns with the PR objective to fix "toolcall failed on deepseek."

The logic correctly:

  • Only generates toolCallId when a response exists (line 477)
  • Pairs each tool_call with its response for proper role:tool message creation
  • Includes clear comments explaining the intent

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@zerob13 zerob13 merged commit 2d23600 into dev Dec 3, 2025
2 checks passed
@zerob13 zerob13 deleted the bugfix/toolcall-id branch December 13, 2025 06:59
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