* fix: correct Bedrock model ID for Claude Opus 4.6 (#11232)
Remove the :0 suffix from the Claude Opus 4.6 model ID to match
the correct AWS Bedrock model identifier.
The model ID was "anthropic.claude-opus-4-6-v1:0" but should be
"anthropic.claude-opus-4-6-v1" per AWS Bedrock documentation.
Fixes#11231
Co-authored-by: Roo Code <roomote@roocode.com>
* fix: guard against empty-string baseURL in provider constructors (#11233)
When the 'custom base URL' checkbox is unchecked in the UI, the setting
is set to '' (empty string). Providers that passed this directly to their
SDK constructors caused 'Failed to parse URL' errors because the SDK
treated '' as a valid but broken base URL override.
- gemini.ts: use || undefined (was passing raw option)
- openai-native.ts: use || undefined (was passing raw option)
- openai.ts: change ?? to || for fallback default
- deepseek.ts: change ?? to || for fallback default
- moonshot.ts: change ?? to || for fallback default
Adds test coverage for Gemini and OpenAI Native constructors verifying
empty-string baseURL is coerced to undefined.
* fix: make defaultTemperature required in getModelParams to prevent silent temperature overrides (#11218)
* fix: DeepSeek temperature defaulting to 0 instead of 0.3
Pass defaultTemperature: DEEP_SEEK_DEFAULT_TEMPERATURE to getModelParams() in
DeepSeekHandler.getModel() to ensure the correct default temperature (0.3)
is used when no user configuration is provided.
Closes#11194
* refactor: make defaultTemperature required in getModelParams
Make the defaultTemperature parameter required in getModelParams() instead
of defaulting to 0. This prevents providers with their own non-zero default
temperature (like DeepSeek's 0.3) from being silently overridden by the
implicit 0 default.
Every provider now explicitly declares its temperature default, making the
temperature resolution chain clear:
user setting → model default → provider default
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* feat: batch consecutive tool calls in chat UI with shared utility (#11245)
* feat: group consecutive list_files tool calls into single UI block
Consolidate consecutive listFilesTopLevel/listFilesRecursive ask messages
into a single 'Roo wants to view multiple directories' block, matching the
existing read_file batching pattern.
* chore: add missing translation keys for all locales
* refactor: consolidate duplicate listFiles batch-handling blocks in ChatRow
Merge the separate listFilesTopLevel and listFilesRecursive case blocks
into a single combined case with shared batch-detection logic, selecting
the icon and translation key based on the tool type. This removes the
duplicated isBatchDirRequest check and BatchListFilesPermission render.
* feat: batch consecutive file-edit tool calls into single UI block
Add edit-file batching in ChatView groupedMessages that consolidates
consecutive editedExistingFile, appliedDiff, newFileCreated,
insertContent, and searchAndReplace asks into a single BatchDiffApproval
block. Move batchDiffs detection in ChatRow above the switch statement
so it applies to any file-edit tool type.
* refactor: extract batchConsecutive utility, fix batch UI issues
- Extract generic batchConsecutive() utility from 3 identical while-loops
- Fix React key collisions in BatchListFilesPermission, BatchFilePermission, BatchDiffApproval
- Normalize language prop to "shellsession" (was "shell-session" for top-level)
- Remove unused _batchedMessages property from synthetic messages
- Remove dead didViewMultipleDirectories i18n key from all 18 locale files
- Add batch button text for listFilesTopLevel/listFilesRecursive
- Add batchConsecutive utility tests (6 cases)
* fix: audit improvements for batch tool-call UI
- Make batchConsecutive() generic instead of ClineMessage-specific
- Add batch-aware button text for edit-file batches ("Save All"/"Deny All")
- Add dedicated list-batch/edit-batch i18n keys (stop reusing read-batch)
- Add JSON.parse defense-in-depth in all three synthesizers
- Fix mixed list_files batch icon to default to FolderTree
- Add 6 missing test cases (all-match, immutability, spy, single-dir)
* chore: minor type cleanup (out-of-scope housekeeping)
- Trim unused recursive/isOutsideWorkspace from DirPermissionItem interface
- Remove 4 pre-existing `as any` casts in ChatView.tsx:
- window cast → precise inline type
- checkpoint bracket access → removed unnecessary casts
- condensing message → `as ClineMessage`
- debounce cancel → `.clear()` (correct API)
- Update BatchListFilesPermission test data to match trimmed interface
* i18n: add list-batch and edit-batch translations for all locales
* feat: add IPC query handlers for commands, modes, and models (#11279)
Add GetCommands, GetModes, and GetModels to the IPC protocol so external
clients can fetch slash commands, available modes, and Roo provider models
without going through the internal webview message channel.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add lock toggle to pin API config across all modes in workspace (#11295)
* feat: add lock toggle to pin API config across all modes in workspace
Add a lock/unlock toggle inside the API config selector popover (next to
the settings gear) that, when enabled, applies the selected API
configuration to all modes in the current workspace.
- Add lockApiConfigAcrossModes to ExtensionState and WebviewMessage types
- Store setting in workspaceState (per-workspace, not global)
- When locked, activateProviderProfile sets config for all modes
- Lock icon in ApiConfigSelector popover bottom bar next to gear
- Full i18n: English + 17 locale translations (all mention workspace scope)
- 9 new tests: 2 ClineProvider, 2 handler, 5 UI (77 total pass)
* refactor: replace write-fan-out with read-time override for lock API config
The original lock implementation used setModeConfig() fan-out to write the
locked config to ALL modes globally. Since the lock flag lives in workspace-
scoped workspaceState but modeApiConfigs are in global secrets, this caused
cross-workspace data destruction.
Replaced with read-time guards:
- handleModeSwitch: early return when lock is on (skip per-mode config load)
- createTaskWithHistoryItem: skip mode-based config restoration under lock
- activateProviderProfile: removed fan-out block
- lockApiConfigAcrossModes handler: simplified to flag + state post only
- Fixed pre-existing workspaceState mock gap in ClineProvider.spec.ts and
ClineProvider.sticky-profile.spec.ts
* fix: validate Gemini thinkingLevel against model capabilities and handle empty streams (#11303)
* fix: validate Gemini thinkingLevel against model capabilities and handle empty streams
getGeminiReasoning() now validates the selected effort against the model's
supportsReasoningEffort array before sending it as thinkingLevel. When a
stale settings value (e.g. 'medium' from a different model) is not in the
supported set, it falls back to the model's default reasoningEffort.
GeminiHandler.createMessage() now tracks whether any text content was
yielded during streaming and handles NoOutputGeneratedError gracefully
instead of surfacing the cryptic 'No output generated' error.
* fix: guard thinkingLevel fallback against 'none' effort and add i18n TODO
The array validation fallback in getGeminiReasoning() now only triggers
when the selected effort IS a valid Gemini thinking level but not in
the model's supported set. Values like 'none' (explicit no-reasoning
signal) are no longer overridden by the model default.
Also adds a TODO for moving the empty-stream message to i18n.
* fix: track tool_call_start in hasContent to avoid false empty-stream warning
Tool-only responses (no text) are valid content. Without this,
agentic tool-call responses would incorrectly trigger the empty
response warning message.
* chore(cli): prepare release v0.0.53 (#11425)
* feat: add GLM-5 model support to Z.ai provider (#11440)
* chore: regenerate pnpm-lock.yaml
* fix: resolve type errors and remove AI SDK test contamination
* docs: update progress.txt with rebuilt Batch 2 status
---------
Co-authored-by: roomote[bot] <219738659+roomote[bot]@users.noreply.github.com>
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
Co-authored-by: Chris Estreich <cestreich@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Revert to pre-AI-SDK state (commit 67e568f6b)
This commit reverts the codebase to the state before AI SDK migration work began.
Target commit: 67e568f6b - refactor: replace fetch_instructions with skill tool and built-in skills (#10913)
Date: January 29, 2026
This removes approximately 152 commits of AI SDK migration work.
A follow-up PR will add back bug fixes and features that are unrelated to AI SDK.
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
* feat: migrate OpenAI Native provider to @ai-sdk/openai
Replace the raw OpenAI SDK (openai) usage in OpenAiNativeHandler with
@ai-sdk/openai and AI SDK's streamText/generateText, following the same
pattern used by other migrated providers (Groq, xAI, Fireworks, etc.).
Key changes:
- Use createOpenAI from @ai-sdk/openai with provider.responses() for
the Responses API
- Use streamText/generateText from ai for streaming and completions
- Pass OpenAI-specific features via providerOptions.openai (store,
reasoningEffort, reasoningSummary, textVerbosity, serviceTier,
promptCacheRetention, parallelToolCalls, include)
- Capture responseId, serviceTier, and encrypted reasoning content
from providerMetadata after streaming
- Preserve getEncryptedContent() and getResponseId() for Task.ts
- Preserve service tier pricing adjustment in cost calculation
- Mark as isAiSdkProvider: true
- Eliminate ~1100 lines of manual SSE parsing, raw fetch fallback,
and event handling code
- Rewrite all 3 test files to use AI SDK mocking pattern
* fix: remove non-existent cacheWriteTokens from providerMetadata
The OpenAI Responses API does not report cache write tokens separately.
Remove the reference to providerMetadata?.openai?.cacheWriteTokens which
does not exist in the @ai-sdk/openai provider metadata schema.
* fix: filter standalone encrypted reasoning items from messages
Task.ts buildCleanConversationHistory injects standalone reasoning items
with { type: 'reasoning', encrypted_content: '...' } into the messages
array. These have no 'role' property and would be silently dropped by
convertToAiSdkMessages. Filter them explicitly to prevent confusion.
Note: Encrypted reasoning content round-tripping for stateless continuity
is a known limitation of the AI SDK migration. The @ai-sdk/openai
provider does not support injecting raw Responses API reasoning items.
Plain-text reasoning round-tripping works correctly via isAiSdkProvider().
* fix: restore reasoning round-trip for OpenAI Responses API via AI SDK
- Strip plain-text reasoning blocks from assistant messages before
convertToAiSdkMessages() to eliminate 'Non-OpenAI reasoning parts'
warnings from @ai-sdk/openai Responses provider
- Re-inject encrypted reasoning items as AI SDK reasoning parts with
providerOptions.openai.itemId and reasoningEncryptedContent, restoring
reasoning continuity that was silently broken after the migration
- Restructure createMessage() into a 5-step pipeline:
collect → filter → strip → convert → inject
- Add 21 new tests for both plain-text stripping and encrypted
reasoning injection
---------
Co-authored-by: Hannes Rudolph <hrudolph@gmail.com>
When the 'custom base URL' checkbox is unchecked in the UI, the setting
is set to '' (empty string). Providers that passed this directly to their
SDK constructors caused 'Failed to parse URL' errors because the SDK
treated '' as a valid but broken base URL override.
- gemini.ts: use || undefined (was passing raw option)
- openai-native.ts: use || undefined (was passing raw option)
- openai.ts: change ?? to || for fallback default
- deepseek.ts: change ?? to || for fallback default
- moonshot.ts: change ?? to || for fallback default
Adds test coverage for Gemini and OpenAI Native constructors verifying
empty-string baseURL is coerced to undefined.
openai-native: include reasoning.encrypted_content only when reasoningEffort is set; prevent Responses API error on non-reasoning models. types: remove supportsVerbosity from gpt-5-chat-latest to avoid invalid verbosity error. Fixes#9225
* 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
* fix: add cache reporting support for OpenAI-Native provider
- Add normalizeUsage method to properly extract cache tokens from Responses API
- Support both detailed token shapes (input_tokens_details) and legacy fields
- Calculate cache read/write tokens with proper fallbacks
- Include reasoning tokens when available in output_tokens_details
- Ensure accurate cost calculation using uncached input tokens
This fixes the issue where caching information was not being reported
when using the OpenAI-Native provider with the Responses API.
* fix: improve cache token normalization and add comprehensive tests
- Add fallback to derive total input tokens from details when totals are missing
- Remove unused convertToOpenAiMessages import
- Add comment explaining cost calculation alignment with Gemini provider
- Add comprehensive test coverage for normalizeUsage method covering:
- Detailed token shapes with cached/miss tokens
- Legacy field names and SSE-only events
- Edge cases including missing totals with details-only
- Cost calculation with uncached input tokens
* fix: address PR review comments
- Remove incorrect fallback to missFromDetails for cache write tokens
- Fix cost calculation to pass total input tokens (calculateApiCostOpenAI handles subtraction)
- Improve readability by extracting cache detail checks to intermediate variables
- Remove redundant ?? undefined
- Update tests to reflect correct behavior (miss tokens are not cache writes)
- Add clarifying comments about cache miss vs cache write tokens
* fix: add explicit max_output_tokens for GPT-5 Responses API
- Added max_output_tokens parameter to GPT-5 request body using model.maxTokens
- This prevents GPT-5 from defaulting to very large token limits (e.g., 120k)
- Updated tests to expect max_output_tokens in GPT-5 request bodies
- Fixed test for handling unhandled stream events by properly mocking SDK fallback
* fix: add missing translations for reasoningEffort.minimal in Indonesian and Dutch locales
* fix: correct GPT-5 response ID persistence and usage
- Renamed metadata field from 'previous_response_id' to 'response_id' for clarity
- Fixed logic to correctly use the response_id from the previous message as previous_response_id for the next request
- This resolves the 'Previous response with id not found' errors that occurred after multiple turns in the same session
* feat: add robust error handling for GPT-5 previous_response_id failures
- Automatically retry without previous_response_id when it's not found (400 error)
- Clear stored lastResponseId to prevent reusing stale IDs
- Handle errors in both SDK and SSE fallback paths
- Log warnings when retrying to help with debugging
* fix: handle GPT-5 response ID race condition with nano model
- Add promise-based synchronization for response ID persistence
- Wait for pending response ID from previous request before using it
- Resolve promise when response ID is received or cleared
- Add 100ms timeout to avoid blocking too long on ID resolution
- Properly clean up resolver on errors to prevent memory leaks
This fixes the race condition where fast nano model responses could cause
the next request to be initiated before the response ID was fully persisted.
* fix: address PR review comments for GPT-5 implementation
- Extract usage normalization helper to reduce duplication
- Suppress conversation continuity for first message (but respect explicit metadata)
- Deduplicate response ID resolver logic
- Remove dead enableGpt5ReasoningSummary option references
- DRY up GPT-5 event/usage handling with normalizeGpt5Usage helper
- Centralize default GPT-5 reasoning effort using model info
- Fix Indonesian locale minimal string misplacement
- Add clarifying comments for Developer prefix usage
- Add TODO for future verbosity UI capability gating
- Fix failing test in reasoning.spec.ts
* fix(openai-native): address Roomote inline feedback\n\n- Delegate standard GPT-5 SSE event types to shared processor to reduce duplication\n- Add JSDoc for response ID accessors\n- Standardize key error messages for GPT-5 Responses API fallback\n- Extract persistGpt5Metadata() in Task to simplify metadata writes\n- Add malformed JSON SSE parsing test\n
* fix(openai-native,gpt5): correct usage cost calc (use calculateApiCostOpenAI incl. cache); enforce 'skip once' continuity via suppressPreviousResponseId; dedupe responseId resolver on SSE 400; feat: gate reasoning.summary by enableGpt5ReasoningSummary; centralize default reasoning effort; types/ui: add ModelInfo.supportsVerbosity and gate Verbosity UI by capability; refactor: avoid duplicate usage emission in SSE done/completed
* fix(gpt5): default enableGpt5ReasoningSummary=true to preserve tests and expected behavior
* fix(gpt5): canonicalize GPT-5 metadata key to previous_response_id and align enableGpt5ReasoningSummary default docs
* fix(openai-native): remove review artifact comments and guard GPT-5 in completePrompt
* feat: add GPT-5 model support
- Added GPT-5 models (gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07)
- Added nectarine-alpha-new-reasoning-effort-2025-07-25 experimental model
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Implemented GPT-5 specific handling with streaming and reasoning effort support
* fix: remove hardcoded temperature from GPT-5 handler
- Updated handleGPT5Message to use configurable temperature
- Now uses this.options.modelTemperature ?? OPENAI_NATIVE_DEFAULT_TEMPERATURE
- Maintains consistency with other model handlers
* feat: add reasoning effort support for all OpenAI models
* fix: update test to expect new default model gpt-5-2025-08-07
* feat: increase GPT-5 models context window to 400,000
- Updated context window from 256,000 to 400,000 for gpt-5-2025-08-07
- Updated context window from 256,000 to 400,000 for gpt-5-mini-2025-08-07
- Updated context window from 256,000 to 400,000 for gpt-5-nano-2025-08-07
- Updated context window from 256,000 to 400,000 for nectarine-alpha-new-reasoning-effort-2025-07-25
As requested by @daniel-lxs in PR #6819
* revert: remove GPT-5 models, keep only nectarine experimental model
- Removed gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07
- Kept nectarine-alpha-new-reasoning-effort-2025-07-25 experimental model
- Reverted default model back to gpt-4o
- Updated tests and changeset accordingly
* feat: add GPT-5 models with updated context windows
- Added gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07 models
- All GPT-5 models configured with 400,000 context window
- Updated nectarine model context window to 256,000
- All models configured with reasoning effort support
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Added GPT-5 model handling in openai-native.ts
- Updated tests to reflect new default model
* fix: restore reasoning effort support for o1 series models
- Added supportsReasoningEffort: true to o1, o1-preview, and o1-mini models
- This restores the ability to use reasoning effort parameters with these models
- The existing code in openai-native.ts already handles reasoning effort correctly
* Revert "fix: restore reasoning effort support for o1 series models"
This reverts commit 7251237ae8.
* fix: restore reasoning effort support for o3 and o4 models
- Added supportsReasoningEffort: true to o3, o3-high, o3-low models
- Added supportsReasoningEffort: true to o4-mini, o4-mini-high, o4-mini-low models
- Added supportsReasoningEffort: true to o3-mini, o3-mini-high, o3-mini-low models
- These models have both supportsReasoningEffort and reasoningEffort properties
* Revert "fix: restore reasoning effort support for o3 and o4 models"
This reverts commit a75a2b8a69.
* fix: restore reasoning effort support for o3 and o4 models
- Added supportsReasoningEffort: true to o3, o3-high, o3-low models
- Added supportsReasoningEffort: true to o4-mini, o4-mini-high, o4-mini-low models
- Added supportsReasoningEffort: true to o3-mini, o3-mini-high, o3-mini-low models
* fix: adjust reasoning effort support for o3/o4 models
- Keep supportsReasoningEffort only for base o3, o4-mini, and o3-mini models
- Remove supportsReasoningEffort from -high and -low variants
- Position supportsReasoningEffort right before reasoningEffort property
* fix: remove nectarine experimental model
- Removed nectarine-alpha-new-reasoning-effort-2025-07-25 from openai.ts
- Removed nectarine handling from openai-native.ts (renamed to handleGpt5Message)
- Removed associated changeset file
- Keep GPT-5 models with developer role handling
* feat: implement full GPT-5 support with verbosity and minimal reasoning
- Add all three GPT-5 models with accurate pricing (.25/0 for gpt-5, /bin/sh.25/ for mini, /bin/sh.05//bin/sh.40 for nano)
- Implement verbosity control (low/medium/high) that passes through to API
- Add minimal reasoning effort support for fastest response times
- GPT-5 models use developer role instead of system role
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Add Responses API infrastructure for future migration
- Update tests to verify all GPT-5 features
- All 27 tests passing
Note: UI controls for verbosity still need to be added in a follow-up PR
* feat: add verbosity setting for GPT-5 models
- Add VerbosityLevel type definition to model types
- Add verbosity field to ProviderSettings schema
- Create Verbosity UI component for settings
- Add verbosity labels to all localization files
- Integrate verbosity handling in model parameters transformation
- Update OpenAI native handler to support verbosity for GPT-5
- Add comprehensive tests for verbosity setting
- Update existing GPT-5 tests to use verbosity from settings
* Delete .roorules
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: hannesrudolph <hrudolph@gmail.com>
Co-authored-by: Daniel Riccio <ricciodaniel98@gmail.com>
Co-authored-by: Daniel <57051444+daniel-lxs@users.noreply.github.com>
* fix(api): update cacheReadsPrice for OpenAI GPT-4.1 models (#2887)
Set correct cacheReadsPrice (cached input price) for gpt-4.1, gpt-4.1 mini, and gpt-4.1 nano based on official OpenAI pricing. No changes to cacheWritesPrice as per current OpenAI documentation. This ensures prompt caching costs are accurately reflected for these models in cost calculations.
* Update more OpenAI cache prices
* Track cache tokens and cost correctly for OpenAI
* Update tests
---------
Co-authored-by: monotykamary <tom81094@gmail.com>
