* perf(refactor): consolidate getState calls in resolveWebviewView
Replace three separate this.getState().then() calls with a single
await this.getState() and destructuring. This avoids running the
full getState() method (CloudService calls, ContextProxy reads, etc.)
three times during webview view resolution.
* fix: keep getState consolidation non-blocking to avoid delaying webview render
---------
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* chore(cli): prepare release v0.0.52
* Update CHANGELOG for build cleanup and Linux support
Removed unused dependency from build configuration and added Linux support.
* 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.
* feat(history): render nested subtasks as recursive tree
* fix(lockfile): resolve missing ai-sdk provider entry
* fix: address review feedback — dedupe countAll, increase SubtaskRow max-h
- HistoryView: replace local countAll with imported countAllSubtasks from types.ts
- SubtaskRow: increase nested children max-h from 500px to 2000px to match TaskGroupItem
* 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
* refactor: migrate baseten provider to AI SDK
* refactor(baseten): migrate to native @ai-sdk/baseten package
Replace OpenAICompatibleHandler with dedicated @ai-sdk/baseten package,
following the same pattern used by other native AI SDK providers (groq,
deepseek, etc.). This uses createBaseten() for provider initialization
and extends BaseProvider directly instead of the generic OpenAI-compatible
handler.
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 disabledTools setting to globally disable native tools
Add a disabledTools field to GlobalSettings that allows disabling specific
native tools by name. This enables cloud agents to be configured with
restricted tool access.
Schema:
- Add disabledTools: z.array(toolNamesSchema).optional() to globalSettingsSchema
- Add disabledTools to organizationDefaultSettingsSchema.pick()
- Add disabledTools to ExtensionState Pick type
Prompt generation (tool filtering):
- Add disabledTools to BuildToolsOptions interface
- Pass disabledTools through filterSettings to filterNativeToolsForMode()
- Remove disabled tools from allowedToolNames set in filterNativeToolsForMode()
Execution-time validation (safety net):
- Extract disabledTools from state in presentAssistantMessage
- Convert disabledTools to toolRequirements format for validateToolUse()
Wiring:
- Add disabledTools to ClineProvider getState() and getStateToPostToWebview()
- Pass disabledTools to all buildNativeToolsArrayWithRestrictions() call sites
EXT-778
* fix: check toolRequirements before ALWAYS_AVAILABLE_TOOLS
Moves the toolRequirements check before the ALWAYS_AVAILABLE_TOOLS
early-return in isToolAllowedForMode(). This ensures disabledTools
can block always-available tools (switch_mode, new_task, etc.) at
execution time, making the validation layer consistent with the
filtering layer.
* feat: migrate Bedrock provider to AI SDK
Replace the raw AWS SDK (@aws-sdk/client-bedrock-runtime) Bedrock handler
with the Vercel AI SDK (@ai-sdk/amazon-bedrock). Reduces provider from
1,633 lines to 575 lines (65% reduction).
Key changes:
- Use streamText()/generateText() instead of ConverseStreamCommand/ConverseCommand
- Use createAmazonBedrock() with native auth (access key, secret, session,
profile via credentialProvider, API key, VPC endpoint as baseURL)
- Reasoning config via providerOptions.bedrock.reasoningConfig
- Anthropic beta headers via providerOptions.bedrock.anthropicBeta
- Thinking signature captured from providerMetadata.bedrock.signature
on reasoning-delta stream events
- Thinking signature round-tripped via providerOptions.bedrock.signature
on reasoning parts in convertToAiSdkMessages()
- Redacted thinking captured from providerMetadata.bedrock.redactedData
- isAiSdkProvider() returns true for reasoning block preservation
- Keep: getModel, ARN parsing, cross-region inference, cost calculation,
service tier pricing, 1M context beta
Tests: 83 tests skipped (mock old AWS SDK internals, need rewrite for
AI SDK mocking). 106 tests pass. 0 tests fail.
* fix: address review feedback for Bedrock AI SDK migration
- Wire usePromptCache into AI SDK via providerOptions.bedrock.cachePoint
on system prompt and last two user messages
- Remove debug logger.info that fires on every stream event with
providerMetadata
- Tighten isThrottlingError to match 'rate limit' instead of broad
'rate'/'limit' substrings that false-positive on context length errors
- Use shared handleAiSdkError utility for consistent error handling
with status code preservation for retry logic
* fix: bedrock AI SDK migration - fix usage metrics, rewrite tests, remove dead code
- Fix reasoningTokens always 0 (usage.details?.reasoningTokens → usage.reasoningTokens)
- Fix cacheReadInputTokens always 0 (read from usage.inputTokenDetails instead of providerMetadata)
- Fix invokedModelId not extracted for prompt router cost calculation
- Rewrite all 6 skipped bedrock test suites for AI SDK mocking pattern (140 tests pass)
- Remove dead code: bedrock-converse-format.ts, cache-strategy/ (6 files, ~2700 lines)
* chore: remove dead @anthropic-ai/bedrock-sdk dep and stale AWS SDK mocks
* chore: update pnpm-lock.yaml after removing @anthropic-ai/bedrock-sdk
* fix: compute cache point indices from original Anthropic messages before AI SDK conversion
The previous approach naively targeted the last 2 user messages in the
post-conversion AI SDK array, but convertToAiSdkMessages() splits user
messages containing tool_results into separate tool + user messages,
causing cache points to land on the wrong messages (tiny text fragments
instead of the intended meaty user turns).
Now we identify the last 2 user messages in the original Anthropic
message array (matching the Anthropic provider's caching strategy) and
build a parallel-walk mapping to apply cachePoint to the correct
corresponding AI SDK message.
* perf: optimize prompt caching with 3-point message strategy + anchor for 20-block window
Previous approach only cached the last 2 user messages (using 2 of 4
available cache checkpoints for messages). This left significant cache
savings on the table for longer conversations.
New strategy uses up to 3 message cache points (+ 1 system = 4 total):
- Last user message: write to cache for next request
- Second-to-last user message: read from cache for current request
- Anchor message at ~1/3 position: ensures the 20-block lookback window
from the second-to-last breakpoint hits a stable cache entry, covering
all assistant/tool messages in the middle of the conversation
Also extracted the parallel-walk mapping logic into a reusable
applyCachePointsToAiSdkMessages() helper method.
Industry benchmarks show 70-95% token cache rates are achievable;
this change should significantly improve our 39% baseline for longer
multi-turn conversations.
* chore: remove stale bedrock-sdk external, fix arnInfo property name, remove unused exports
---------
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* 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>
* refactor: migrate featherless provider to AI SDK
* fix: merge consecutive same-role messages in featherless R1 path
convertToAiSdkMessages does not merge consecutive same-role messages
like convertToR1Format did. When the system prompt is prepended as a
user message and the conversation already starts with a user message,
DeepSeek R1 can reject the request.
Add mergeConsecutiveSameRoleMessages helper that collapses adjacent
Anthropic messages sharing the same role before AI SDK conversion.
Includes a test that verifies no two successive messages share a role.
Migrates the IO Intelligence provider from legacy BaseOpenAiCompatibleProvider
(direct openai SDK) to OpenAICompatibleHandler (Vercel AI SDK).
- Extends OpenAICompatibleHandler instead of BaseOpenAiCompatibleProvider
- Uses getModelParams for model parameter resolution
- Updates tests to mock ai module's streamText/generateText
Remove two console.warn messages that fire excessively when loading tasks
from history:
- 'Attempting to finalize unknown tool call' in finalizeStreamingToolCall()
- 'Received chunk for unknown tool call' in processStreamingChunk()
The defensive null-return behavior is preserved; only the log output is removed.
* changeset version bump
* Update CHANGELOG for version 3.47.3
Updated version number and removed redundant patch changes for 3.47.3.
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
Remove the "Enable URL context" and "Enable Grounding with Google search"
checkboxes from Gemini and Vertex provider settings, along with:
- enableUrlContext and enableGrounding fields from provider settings schemas
- URL context and Google Search tool injection in completePrompt methods
- Associated translation keys from all 18 locale files
- Related test cases updated to reflect the removal
- simplifySettings prop removed from Gemini and Vertex components
(it was only used for the removed checkboxes in those components)
Co-authored-by: Roo Code <roomote@roocode.com>
* changeset version bump
* Update CHANGELOG for version 3.47.2
Updated version number and added patch changes for 3.47.2.
* Update CHANGELOG for version 3.47.1
Updated changelog for version 3.47.1 with fixes and cleanup.
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* fix: capture and round-trip thinking signature for Bedrock Claude models
Bedrock handler streams reasoning text from Claude's extended thinking but
never captures the cryptographic signature. This causes 400 errors on
multi-turn conversations with tool use: 'Expected thinking or
redacted_thinking, but found tool_use'.
Changes:
- bedrock.ts: Capture reasoningContent.signature from Converse API stream
deltas, implement getThoughtSignature() so Task.ts stores it as a proper
thinking content block
- bedrock-converse-format.ts: Convert thinking blocks to Bedrock's
reasoningContent format with signature, skip reasoning/redacted_thinking/
thoughtSignature blocks that aren't valid for the API
* fix: add redacted_thinking round-trip, fix interface types, add tests
Address PR review feedback:
- Update ContentBlockDeltaEvent interface to include signature and
redactedContent fields (removes type assertions)
- Add 6 tests for thinking/reasoning block conversions in
bedrock-converse-format.ts
Also add redacted_thinking round-trip support:
- bedrock.ts: Capture redactedContent from stream deltas, base64 encode,
expose via getRedactedThinkingBlocks()
- Task.ts: Insert redacted_thinking blocks after thinking block in
assistant messages
- bedrock-converse-format.ts: Convert redacted_thinking blocks back to
reasoningContent.redactedContent (base64 → Uint8Array)
PR #11180 migrated Gemini/Vertex providers to the AI SDK and deleted
gemini-format.ts which contained the working thought signature round-trip
logic (originally added in PR #10590). This broke all Gemini 3 tool use
with a 400 error: 'Function call is missing a thought_signature'.
Changes:
- Gemini/Vertex handlers: capture thoughtSignature from providerMetadata
on tool-call stream events, expose via getThoughtSignature()
- convertToAiSdkMessages(): extract thoughtSignature content blocks from
history, attach as providerOptions on first tool-call part (per Gemini 3
parallel call rules)
- Add 3 tests verifying thought signature round-trip behavior
* feat: add support for .agents/skills directory
This change adds support for discovering skills from the .agents/skills
directory, following the Agent Skills convention for sharing skills
across different AI coding tools.
Priority order (later entries override earlier ones):
1. Global ~/.agents/skills (shared across AI coding tools, lowest priority)
2. Project .agents/skills
3. Global ~/.roo/skills (Roo-specific)
4. Project .roo/skills (highest priority)
Changes:
- Add getGlobalAgentsDirectory() and getProjectAgentsDirectoryForCwd()
functions to roo-config
- Update SkillsManager.getSkillsDirectories() to include .agents/skills
- Update SkillsManager.setupFileWatchers() to watch .agents/skills
- Add tests for new functionality
* fix: clarify skill priority comment to match actual behavior
* fix: clarify skill priority comment to explain Map.set replacement mechanism
---------
Co-authored-by: Roo Code <roomote@roocode.com>
* changeset version bump
* Update CHANGELOG for version 3.47.1
Updated changelog for version 3.47.1 with patch changes.
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: John Richmond <5629+jr@users.noreply.github.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.
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>
Remove three functions from appendEnvironmentDetails.ts that were
defined and tested but never imported or called in production code:
- stripAppendedEnvironmentDetails (exported, 0 call sites)
- stripEnvDetailsFromText (private helper)
- stripEnvDetailsFromToolResult (private helper)
Also removes the corresponding describe block (7 tests) from the
spec file. The remaining 19 tests pass.
* changeset version bump
* Update CHANGELOG for version 3.47.0 release
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* refactor(task): append environment details into existing blocks
Add appendEnvironmentDetails() helper that merges environment details
into the last text block or tool_result instead of adding a standalone
trailing text block.
This avoids message shapes that can break interleaved-thinking models
like DeepSeek reasoner, which expect specific message structures.
Changes:
- Add appendEnvironmentDetails() and removeEnvironmentDetailsBlocks() helpers
- Update Task.resumeAfterDelegation() to use the helper
- Update Task.recursivelyMakeClineRequests() to use the helper
- Add comprehensive unit tests (26 test cases)
* fix: use named import for Anthropic SDK to match codebase convention
Remove the toolFormat constant and <tool_format> line from environment
details output. Native tool calling is now the only supported protocol,
making this code unnecessary.
Fixes#11206
Co-authored-by: Roo Code <roomote@roocode.com>
* feat: add Claude Opus 4.6 support across all providers
Add Claude Opus 4.6 (claude-opus-4-6) model definitions and 1M context
support across Anthropic, Bedrock, Vertex AI, OpenRouter, and Vercel AI
Gateway providers.
- Anthropic: 128K max output, /5 pricing, 1M context tiers
- Bedrock: anthropic.claude-opus-4-6-v1:0 with 1M context + global inference
- Vertex: claude-opus-4-6 with 1M context tiers
- OpenRouter: prompt caching + reasoning budget sets
- Vercel AI Gateway: Opus 4.5 and 4.6 added to capability sets
- UI: 1M context checkbox for Opus 4.6 on all providers
- i18n: Updated 1M context descriptions across 18 locales
Also adds Opus 4.5 to Vercel AI Gateway (previously missing) and
OpenRouter maxTokens overrides for Opus 4.5/4.6.
Closes#11223
* fix: apply tier pricing when 1M context is enabled on Bedrock
When awsBedrock1MContext is enabled for tiered models like Opus 4.6,
also apply the 1M tier pricing (inputPrice, outputPrice, cache prices)
instead of only updating contextWindow. This ensures cost calculations
and UI display use the correct >200K rates.
* fix(ai-sdk): preserve reasoning parts in message conversion
* fix(ai-sdk): convert message-level reasoning_content to reasoning part
* fix(task): remove invalid openai-compatible from reasoning allowlist
* feat: add isAiSdkProvider() method for dynamic AI SDK provider detection
- Add isAiSdkProvider() method to ApiHandler interface
- Default implementation in BaseProvider returns false
- Override to return true in 11 AI SDK providers:
deepseek, fireworks, mistral, groq, xai, cerebras,
sambanova, huggingface, gemini, vertex, openai-compatible
- Update Task.ts to use dynamic detection instead of hardcoded Set
- Add method to FakeAIHandler and update test mocks
* fix: handle reasoning parts in flattenAiSdkMessagesToStringContent
- Strip reasoning parts when flattening messages for string-only models
- Allow flattening when message contains only text and reasoning parts
- Add tests for reasoning part handling in string-only model contexts
This addresses the review feedback about ensuring flattenAiSdkMessagesToStringContent
works correctly when reasoning parts are present (e.g., SambaNova DeepSeek).
---------
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* fix(ai-sdk): preserve reasoning parts in message conversion
* fix(ai-sdk): convert message-level reasoning_content to reasoning part
* fix(task): remove invalid openai-compatible from reasoning allowlist
