* feat: store reasoning in conversation history for all providers
* refactor: address review feedback
- Move comments inside else block
- Combine reasoning checks into single if block
- Make comments more concise
* refactor: make comments more concise
* Fix preserveReasoning flag to control API reasoning inclusion
Changes:
1. Removed hardcoded <think> tag logic in streaming
- Previously hardcoded reasoning into assistant message text
- Now passes reasoning to addToApiConversationHistory as parameter
2. Updated buildCleanConversationHistory to respect preserveReasoning flag
- When preserveReasoning: true → reasoning block included in API requests
- When preserveReasoning: false/undefined → reasoning stripped from API
- Reasoning stored in history for all cases
3. Added temporary debug logs to base-openai-compatible-provider.ts
- Shows preserveReasoning flag value
- Logs reasoning blocks in incoming messages
- Logs <think> tags in converted messages sent to API
* Fix: Use api.getModel() directly instead of cachedStreamingModel
Addresses review comment: cachedStreamingModel is set during streaming but
buildCleanConversationHistory is called before streaming starts. Using the
cached value could cause stale model info when switching models between requests.
Now directly uses this.api.getModel().info.preserveReasoning to ensure we
always check the current model's flag, not a potentially stale cached value.
* Clean up comments in Task.ts
Removed outdated comment regarding model's preserveReasoning flag.
* fix: remove unnecessary reasoningBlock variable in task reasoning logic
- Filter out complete environment_details blocks before appending fresh ones
- Check for both opening and closing tags to ensure we're matching complete blocks
- Prevents stale environment data from being kept during task resume
- Add tests to verify deduplication logic and edge cases
* 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
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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
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Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* Add native tool calling support to OpenAI-compatible
* Fix OpenAI strict mode schema validation by adding converter methods to BaseProvider
- Add convertToolsForOpenAI() and convertToolSchemaForOpenAI() methods to BaseProvider
- These methods ensure all properties are in required array and convert nullable types
- Remove line_ranges from required array in read_file tool (converter handles it)
- Update OpenAiHandler and BaseOpenAiCompatibleProvider to use helper methods
- Eliminates code duplication across multiple tool usage sites
- Fixes: OpenAI completion error: 400 Invalid schema for function 'read_file'
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Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
