* feat: initialize VS Code Language Model client in constructor
* feat: add VS Code LLM models and configuration
* feat: integrate VS Code LLM models into API configuration normalization
* Fix tests
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Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* Add xAI provider
* Add model reasoning effort
* DRY this up
* Handle undefined delta
* Cleanup getModel to fix test
* Add missing translations
* Small type cleanup
* Support temperature
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Co-authored-by: cte <cestreich@gmail.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
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Co-authored-by: monotykamary <tom81094@gmail.com>
* Added Gemini 2.5 Pro model to Vertex AI Provider
* Adds Gemini 2.5 Pro preview model
Adds configuration for the new Gemini 2.5 Pro preview model,
including its token limits, context window size, image support, and
pricing information.
* Bedrock prompt caching
* remove whitespace only change to src/api/providers/base-provider.ts
* remove integration test that calls bedrock
* PR prep cleanup
* test file and redundant code cleanup
* updated multi-cache-point
* optimized cache strategy
* cache logic updated. commit before trying to simplify newConversationPlacements
* simplified initial cachePoint logic
* fix the missing caching params for claude 3.7 on bedrock
* undo unintentional changes to README.md files
* fix merge bug that hid use prompt cache checkbox
* prep for PR
* remove unintended changes
* revert .gitignore change
* undo unintended changes
* Issue 1998 - Unable to use ARN. https://github.com/RooVetGit/Roo-Code/issues/1998 - Simplify region extraction from Arns. Change example of ARN use from the foundational model ARN to an inference profile ARN which is what is needed.
* small updates to error message
* more flexible support for ARNs and hardening of ARN handling
* update comment on regex use for platform indipendent cosideration
* small code comment update
* remove duplicative logic to add a region to the arn when cross-region is selected
* Update README files from main branch
* improve error handling when on-demand throughput is not avialable for a foundational model
* fix prompt router bug
* minor tweaks for simplicity
* error messgae formatting
* set new version of bedrock runtime package
* fixes: 2229 - complete prompt doesn't work and appears like a no-op
* remove commented out logger.debug blocks per PR review request
* localize new prompt cache UI inputs
* single source of truth for AWS Region information
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Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* feat: Add the openAiR1FormatEnabled field to enable this switch in OpenAI compatible mode to support the current QWQ and future additional classes of R1 models.
* feat: Add the openAiR1FormatEnabled field to enable this switch in OpenAI compatible mode to support the current QWQ and future additional classes of R1 models.
* fix: add miss i18n
* fix: add miss i18n
* fix: remove the redundant call
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Co-authored-by: xiong <yueminxiong.xym@alibaba-inc.com>
* Add Requesty OAuth flow
* New 1-click onboarding flow
* Requesty: Use correct default model info
* When called from the onboard flow, created the default profile
Glama OAuth handler changed for consistency.
* Add router images
* Shuffle the routers
* Translate
* Appease knip
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Co-authored-by: Daniel Trugman <dtrugman@gmail.com>
- Update DeepSeekHandler to support prompt caching
- Add cache token tracking in usage metrics
- Update DeepSeek model configurations with cache-related pricing
- Enhance test coverage for cache and usage metric handling
- Add support for prompt caching in DeepSeek models
- Update model configurations to reflect caching capabilities
- Implement detailed usage metrics tracking cache write and read tokens
- Extend test coverage for new usage metrics and model parameters
- Update pricing information for DeepSeek models to include cache-related costs
