This commit adds GLM model detection and related optimizations to the
OpenAI Compatible provider (OpenAiHandler), which handles the "OpenAI
Compatible" option in the UI when users set a custom base URL.
Changes:
- Import GLM detection utilities and Z.ai format converter
- Add glmConfig property to track GLM model configuration
- Detect GLM model on construction when model ID is available
- Re-detect GLM model in createMessage if model ID changes
- For GLM models:
- Use convertToZAiFormat with mergeToolResultText to prevent
conversation flow disruption
- Disable parallel_tool_calls as GLM models may not support it
- Add thinking parameter for GLM-4.7 models
- Add console logging for detection results and applied optimizations
This addresses the feedback in issue #11071 where the user clarified
they are using the "OpenAI Compatible" provider, not the "OpenAI"
provider. The previous changes in this PR only affected the
base-openai-compatible-provider.ts (used by Z.ai, Groq, etc.) and
lm-studio.ts, but not openai.ts which handles OpenAI Compatible.
* feat(condense): add smart code folding with tree-sitter signatures
At context condensation time, use tree-sitter to generate folded code
signatures (function definitions, class declarations) for files read
during the conversation. Each file is included as its own <system-reminder>
block in the condensed summary, preserving structural awareness without
consuming excessive tokens.
- Add getFilesReadByRoo() method to FileContextTracker
- Create generateFoldedFileContext() using tree-sitter parsing
- Update summarizeConversation() to accept array of file sections
- Each file gets its own content block in the summary message
- Add comprehensive test coverage (12 tests)
* fix: skip tree-sitter error strings in folded file context
- Add isTreeSitterErrorString helper to detect error messages
- Skip files that return error strings instead of embedding them
- Add test for error string handling
* refactor: move generateFoldedFileContext() inside summarizeConversation()
- Update summarizeConversation() to accept filesReadByRoo, cwd, rooIgnoreController instead of pre-generated sections
- Move folded file context generation inside summarizeConversation() (lines 319-339)
- Update ContextManagementOptions type and manageContext() to pass new parameters
- Remove generateFoldedFileContext from Task.ts imports - folding now handled internally
- Update all tests to use new parameter signature
- Reduces Task.ts complexity by moving folding logic to summarization module
* fix: prioritize most recently read files in folded context
Files are now sorted by roo_read_date descending before folded context
generation, so if the character budget runs out, the most relevant
(recently read) files are included and older files are skipped.
* refactor: improve code quality in condense module
- Convert summarizeConversation to use options object instead of 11 positional params
- Extract duplicated getFilesReadByRoo error handling into helper method
- Remove unnecessary re-export of generateFoldedFileContext
- Update all test files to use new options object pattern
* fix: address roomote feedback - batch error logging and early budget exit
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Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
fix: prevent false validation error for local Ollama models
The validation logic was checking against an empty router models object
that was initialized but never populated for Ollama. This caused false
validation errors even when models existed locally.
Now only validates against router models if they actually contain data,
preventing the false error when using local Ollama models.
Fixes ROO-581
Co-authored-by: Roo Code <roomote@roocode.com>
- Modified VsCodeLmHandler.internalCountTokens() to create temporary cancellation tokens when needed
- Token counting now works both during and outside of active requests
- Added 4 new tests to verify the fix and prevent regression
- Resolves issue where VS Code LM API users experienced context overflow errors
