- Reduced minimum requestDelaySeconds from 5s to 1s in UI slider
- Changed default requestDelaySeconds from 10s to 2s
- Updated Math.max constraint from 5s to 1s minimum
- Updated tests to reflect new default values
This addresses the issue where API requests were taking too long to respond,
causing poor user experience. Users can now set delays as low as 1 second
and the default is a more reasonable 2 seconds.
Fixes#9438
* Improve read_file tool description with examples
- Add explicit JSON structure documentation
- Include three concrete examples (single file, with line ranges, multiple files)
- Clarify that 'path' is required and 'line_ranges' is optional
- Better explain line range format (1-based inclusive)
This addresses agent confusion by providing clear examples similar to the XML tool definition.
* Make read_file tool dynamic based on partialReadsEnabled setting
- Convert read_file from static export to createReadFileTool() factory function
- Add getNativeTools() function that accepts partialReadsEnabled parameter
- Create buildNativeToolsArray() helper to encapsulate tool building logic
- Update Task.ts to build native tools dynamically using maxReadFileLine setting
- When partialReadsEnabled is false, line_ranges parameter is excluded from schema
- Examples and descriptions adjust based on whether line ranges are supported
This matches the behavior of the XML tool definition which dynamically adjusts
its documentation based on settings, reducing confusion for agents.
* Add a RCC credit balance display
* Replace the provider docs with the balance when logged in
* PR feedback
---------
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* fix: Include nativeArgs in tool repetition detection
Fixes false positive 'stuck in a loop' error for native protocol tools
like read_file that store parameters in nativeArgs instead of params.
Previously, the ToolRepetitionDetector only compared the params object,
which was empty for native protocol tools. This caused all read_file
calls to appear identical, triggering false loop detection even when
reading different files.
Changes:
- Updated serializeToolUse() to include nativeArgs in comparison
- Added comprehensive tests for native protocol scenarios
- Maintains backward compatibility with XML protocol tools
Closes: Issue reported in Discord about read_file loop detection
* Try to use safe-stable-stringify in the tool repetition detector
---------
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* fix: format tool responses for native protocol
- Add toolResultFormatting utilities for protocol detection
- ReadFileTool now builds both XML and native formats
- Native format returns clean, readable text without XML tags
- Legacy conversation history conversion is protocol-aware
- All tests passing (55 total)
* refactor: use isNativeProtocol from @roo-code/types
Remove duplicate implementation and import from types package instead
* refactor: centralize toolProtocol configuration checks
- Created src/utils/toolProtocol.ts with getToolProtocolFromSettings() utility
- Replaced all direct vscode.workspace.getConfiguration() calls with centralized utility
- Updated 6 files to use the new utility function
- All tests pass and TypeScript compilation succeeds
* refactor: use isNativeProtocol function from types package
When read_file encountered errors (e.g., file not found), it would call
handleError() which internally calls pushToolResult(), then continue to
call pushToolResult() again with the final XML. In native protocol mode,
this created two tool_result blocks with the same tool_call_id, causing
400 errors on subsequent API calls.
This fix replaces handleError() with task.say() for error notifications.
The agent still receives error details through the XML in the single
final pushToolResult() call.
This change works for both protocols:
- Native: Only one tool_result per tool_call_id (fixes duplicate issue)
- XML: Only one text block with complete XML (cleaner than before)
Agent visibility preserved: Errors are included in the XML response
sent to the agent via pushToolResult().
Tests: All 44 tests passing. Updated test to verify say() is called.
The OpenAI tool schema required both 'path' and 'line_ranges' in FileEntry,
but the TypeScript type definition marks lineRanges as optional. This caused
the AI to fail when trying to read files without specifying line_ranges.
Changes:
- Updated read_file tool schema to only require 'path' parameter
- line_ranges remains available but optional, matching TypeScript types
- Aligns with implementation which treats lineRanges as optional throughout
Fixes issue where read_file tool kept failing with missing parameters.
* fix: filter native tools by mode restrictions
Native tools are now filtered based on mode restrictions before being sent to the API, matching the behavior of XML tools. Previously, all native tools were sent to the API regardless of mode, causing the model to attempt using disallowed tools.
Changes:
- Created filterNativeToolsForMode() and filterMcpToolsForMode() utility functions
- Extracted filtering logic from Task.ts into dedicated module
- Applied same filtering approach used for XML tools in system prompt
- Added comprehensive test coverage (10 tests)
Impact:
- Model only sees tools allowed by current mode
- No more failed tool attempts due to mode restrictions
- Consistent behavior between XML and Native protocols
- Better UX with appropriate tool suggestions per mode
* refactor: eliminate repetitive tool checking using group-based approach
- Add getAvailableToolsInGroup() helper to check tools by group instead of individually
- Refactor filterNativeToolsForMode() to reuse getToolsForMode() instead of duplicating logic
- Simplify capabilities.ts by using group-based checks (60% reduction)
- Refactor rules.ts to use group helper (56% reduction)
- Remove debug console.log statements
- Update tests and snapshots
Benefits:
- Eliminates code duplication
- Leverages existing TOOL_GROUPS structure
- More maintainable - new tools in groups work automatically
- All tests passing (26/26)
* fix: add fallback to default mode when mode config not found
Ensures the agent always has functional tools even if:
- A custom mode is deleted while tasks still reference it
- Mode configuration becomes corrupted
- An invalid mode slug is provided
Without this fallback, the agent would have zero tools (not even
ask_followup_question or attempt_completion), completely breaking it.
* refactor(task): wrap initial user message in <feedback> instead of <task> to prevent focus drift after context-management
Rationale: After a successful context-management event, framing the next user block as feedback reduces model focus drift. Mentions parsing already supports <feedback>, and tool flows (attemptCompletion, responses) are aligned. No change to loop/persistence.
* refactor(mentions): drop <task> parsing; standardize on <feedback>; update tests
* Migrate conversation continuity to plugin-side encrypted reasoning items (Responses API)
Summary
We moved continuity off OpenAI servers and now maintain conversation state locally by persisting and replaying encrypted reasoning items. Requests are stateless (store=false) while retaining the performance/caching benefits of the Responses API.
Why
This aligns with how Roo manages context and simplifies our Responses API implementation while keeping all the benefits of continuity, caching, and latency improvements.
What changed
- All OpenAI models now use the Responses API; system instructions are passed via the top-level instructions field; requests include store=false and include=["reasoning.encrypted_content"].
- We persist encrypted reasoning items (type: "reasoning", encrypted_content, optional id) into API history and replay them on subsequent turns.
- Reasoning summaries default to summary: "auto" when supported; text.verbosity only when supported.
- Atomic persistence via safeWriteJson.
Removed
- previous_response_id flows, suppressPreviousResponseId/skipPrevResponseIdOnce, persistGpt5Metadata(), and GPT‑5 response ID metadata in UI messages.
Kept
- taskId and mode metadata for cross-provider features.
Result
- ZDR-friendly, stateless continuity with equal or better performance and a simpler codepath.
* fix(webview): remove unused metadata prop from ReasoningBlock render
* Responses API: retain response id for troubleshooting (not continuity)
Continuity is stateless via encrypted reasoning items that we persist and replay. We now capture the top-level response id in OpenAiNativeHandler and persist the assistant message id into api_conversation_history.json solely for debugging/correlation with provider logs; it is not used for continuity or control flow.
Also: silence request-body debug logging to avoid leaking prompts.
* remove DEPRECATED tests
* chore: remove unused Task types file to satisfy knip CI
* fix(task): properly type cleanConversationHistory and createMessage args in Task to address Dan's review
