* Latest main branch snapshot from API
* feat: add dedicated Azure OpenAI provider using @ai-sdk/azure package
* feat: add Azure provider UI component and translations
* feat: add Azure provider translations for all locales
* chore: add missing Azure placeholder translations
* Delete .changeset/azure-ai-sdk-migration.md
* fix: add Azure provider validation for onboarding workflow
- Add azureApiKey to SECRET_STATE_KEYS for proper configuration detection
- Add Azure validation case in validateModelsAndKeysProvided
- Add validation translations for azureResourceName and azureDeploymentName across all 18 locales
This fixes the issue where the Finish button does nothing when setting up Azure provider in the onboarding workflow.
* feat(azure): add model metadata, model picker, rename to Azure AI Foundry
- Add static model metadata for 29 Azure models (from models.dev)
with Roo-specific flags (reasoning, tools, verbosity) matching
openAiNativeModels
- Add model picker dropdown to Azure provider settings for model
capability detection (context window, max tokens, pricing)
- Rename provider label from 'Azure OpenAI' to 'Azure AI Foundry'
across all 18 locales
- Make API key optional (supports Azure managed identity / Entra ID)
- Update default API version from 2024-08-01-preview to 2025-04-01-preview
- Fix maxOutputTokens validation (filter invalid values <= 0)
- Handler separates deployment name (API calls) from model ID
(capability lookup) with azureDefaultModelInfo (gpt-4o) fallback
- Remove unhelpful 'Get Azure AI Foundry Access' button
- Prevent stale model IDs from other providers carrying over
- Suppress validation errors on fresh provider selection
* fix(azure): add missing isAiSdkProvider() override for reasoning block preservation
* Azure Fixes for Hannes
* Quick Fix for Respones API Only (for Hannes)
* fix: use explicit azureOpenAiDefaultApiVersion fallback when apiVersion is empty
Addresses review feedback: the UI placeholder shows '2025-04-01-preview' via
azureOpenAiDefaultApiVersion, so the handler should use the same constant as
fallback instead of silently deferring to the SDK's internal default.
* fix: remove stale Cerebras references (retired provider)
* fix: add missing retiredProviderMessage translations for all locales
* fix: do not map promptCacheMissTokens to cacheWriteTokens for Azure
Azure uses OpenAI-compatible caching which does not report cache write
tokens separately. promptCacheMissTokens represents tokens NOT found in
cache (processed from scratch), not tokens written to cache. This aligns
the Azure handler with the OpenAI native handler behavior.
---------
Co-authored-by: Hannes Rudolph <hrudolph@gmail.com>
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* refactor: remove 9 low-usage providers (Phase 0)
Remove Cerebras, Chutes, DeepInfra, Doubao, Featherless, Groq,
Hugging Face, IO Intelligence, and Unbound providers from the codebase.
Each provider removal includes: handler, tests, model definitions,
type schemas, UI settings components, fetchers, i18n references,
and all wiring in shared registration/config files.
- Delete 42 provider-specific files (handlers, tests, fetchers, UI components)
- Remove @ai-sdk/cerebras and @ai-sdk/groq npm dependencies
- Clean provider references from 68 shared files across src/, packages/types/,
webview-ui/, and apps/cli/
- Remove ~490 dead i18n translation keys across 36 locale files
- Add docs/ai-sdk-migration-guide.md with updated migration status
- All TypeScript checks pass, 6505 tests pass with 0 failures
* feat: show retired-provider message for removed provider profiles
Preserve API profiles that reference removed providers instead of
silently stripping their apiProvider. When a user selects a profile
configured for a retired provider, the settings UI now shows an
empathetic message explaining the removal instead of the provider
configuration form.
- Add retiredProviderNames array and isRetiredProvider() helper to
packages/types/src/provider-settings.ts
- Update ProviderSettingsManager sanitization to preserve retired
providers (only strip truly unknown values)
- Update ContextProxy sanitization to preserve retired providers
- Render retired-provider message in ApiOptions.tsx when selected
provider is in the retired list
- Add tests for sanitization, ContextProxy, and UI behavior
* feat: add retired-provider warning banner in chat view
* Revert "feat: add retired-provider warning banner in chat view"
This reverts commit dd593e1056.
* feat: show retired-provider message as inline chat response
* fix: show retired provider warning on home screen
Move WarningRow outside {task && ...} conditional so it renders
regardless of task state. Preserve user input on retired provider
intercept so text isn't lost when switching providers.
- Move showRetiredProviderWarning WarningRow to unconditional render
area near ProfileViolationWarning
- Remove setInputValue/setSelectedImages clearing from retired
provider early return in handleSendMessage
- Delete unused RetiredProviderWarning.tsx (dead code)
* fix: address PR review — passthrough retired-provider fields and i18n strings
- Use passthrough() in saveConfig() and load() so legacy provider-specific
fields (e.g. groqApiKey, deepInfraModelId) are preserved instead of
silently stripped by strict Zod parse()
- Move hardcoded English strings in ApiOptions.tsx and ChatView.tsx to
i18n translation keys (settings:providers.retiredProviderMessage,
chat:retiredProvider.{title,message,openSettings})
- Update tests to assert legacy provider-specific fields survive
save and load round-trips
* i18n: add retired-provider translations for all 17 locales
Translate providers.retiredProviderMessage (settings) and
retiredProvider.{title,message,openSettings} (chat) into ca, de, es,
fr, hi, id, it, ja, ko, nl, pl, pt-BR, ru, tr, vi, zh-CN, zh-TW.
* test: update ApiOptions retired-provider test to expect i18n key
* 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.
* 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>
When using slash commands with `mode:` frontmatter (e.g., `/cli-release`
with `mode: code`), the CLI would fail with "Could not resolve
authentication method" from the Anthropic SDK, even when using a
non-Anthropic provider like `--provider roo`.
Root cause: In `markWebviewReady()`, the `webviewDidLaunch` message was
sent before `updateSettings`, creating a race condition. The
`webviewDidLaunch` handler's "first-time init" sync would read
`getState()` before CLI-provided settings were applied to the context
proxy. Since `getState()` defaults `apiProvider` to "anthropic" when
unset, this default was saved to the provider profile. When a slash
command triggered `handleModeSwitch()`, it found this corrupted profile
with `apiProvider: "anthropic"` (but no API key) and activated it,
overwriting the CLI's working roo provider configuration.
Fix:
1. Reorder `markWebviewReady()` to send `updateSettings` before
`webviewDidLaunch`, ensuring the context proxy has CLI-provided
values when the initialization handler runs.
2. Guard the first-time init sync with `checkExistKey(apiConfiguration)`
to prevent saving a profile with only the default "anthropic"
fallback and no actual API keys configured.
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
- Allow --api-key and ROO_API_KEY env var for the roo provider instead of
requiring cloud auth token
- Switch dev/start scripts to use tsx for running directly from source
without building first
- Fix path resolution (version.ts, extension.ts, extension-host.ts) to
work from both source and bundled locations
- Disable debug log file (~/.roo/cli-debug.log) unless --debug is passed
- Update README with complete env var table and dev workflow docs
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
copy: update /slack page messaging
- Update trial CTA to 'Start a free 14 day Team trial'
- Replace 'humans' with 'your team' in value props subtitle
- Shorten value prop titles for consistent one-line display
- Improve Thread-aware and Open to all descriptions
