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8 commits

Author SHA1 Message Date
Josh
0b2164c2e9
Merge de82f16dee into 8ed0bcf5ca 2026-04-05 01:02:05 +00:00
Danny Avila
e6b324b259
🧠 feat: Add reasoning_effort configuration for Bedrock models (#11991)
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* 🧠 feat: Add reasoning_effort configuration for Bedrock models

- Introduced a new `reasoning_effort` setting in the Bedrock configuration, allowing users to specify the reasoning level for supported models.
- Updated the input parser to map `reasoning_effort` to `reasoning_config` for Moonshot and ZAI models, ensuring proper handling of reasoning levels.
- Enhanced tests to validate the mapping of `reasoning_effort` to `reasoning_config` and to ensure correct behavior for various model types, including Anthropic models.
- Updated translation files to include descriptions for the new configuration option.

* chore: Update translation keys for Bedrock reasoning configuration

- Renamed translation key from `com_endpoint_bedrock_reasoning_config` to `com_endpoint_bedrock_reasoning_effort` for consistency with the new configuration setting.
- Updated the parameter settings to reflect the change in the description key, ensuring accurate mapping in the application.

* 🧪 test: Enhance bedrockInputParser tests for reasoning_config handling

- Added tests to ensure that stale `reasoning_config` is stripped when switching models from Moonshot to Meta and ZAI to DeepSeek.
- Included additional tests to verify that `reasoning_effort` values of "none", "minimal", and "xhigh" do not forward to `reasoning_config` for Moonshot and ZAI models.
- Improved coverage for the bedrockInputParser functionality to ensure correct behavior across various model configurations.

* feat: Introduce Bedrock reasoning configuration and update input parser

- Added a new `BedrockReasoningConfig` enum to define reasoning levels: low, medium, and high.
- Updated the `bedrockInputParser` to utilize the new reasoning configuration, ensuring proper handling of `reasoning_effort` values.
- Enhanced logic to validate `reasoning_effort` against the defined configuration values before assigning to `reasoning_config`.
- Improved code clarity with additional comments and refactored conditions for better readability.
2026-02-28 15:02:09 -05:00
Josh Fink
de82f16dee bedrock config loading 2026-02-10 14:26:50 -06:00
Danny Avila
9054ca9c15
🆔 fix: Atomic File Dedupe, Bedrock Tokens Fix, and Allowed MIME Types (#11675)
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* feat: Add support for Apache Parquet MIME types

- Introduced 'application/x-parquet' to the full MIME types list and code interpreter MIME types list.
- Updated application MIME types regex to include 'x-parquet' and 'vnd.apache.parquet'.
- Added mapping for '.parquet' files to 'application/x-parquet' in code type mapping, enhancing file format support.

* feat: Implement atomic file claiming for code execution outputs

- Added a new `claimCodeFile` function to atomically claim a file_id for code execution outputs, preventing duplicates by using a compound key of filename and conversationId.
- Updated `processCodeOutput` to utilize the new claiming mechanism, ensuring that concurrent calls for the same filename converge on a single record.
- Refactored related tests to validate the new atomic claiming behavior and its impact on file usage tracking and versioning.

* fix: Update image file handling to use cache-busting filepath

- Modified the `processCodeOutput` function to generate a cache-busting filepath for updated image files, improving browser caching behavior.
- Adjusted related tests to reflect the change from versioned filenames to cache-busted filepaths, ensuring accurate validation of image updates.

* fix: Update step handler to prevent undefined content for non-tool call types

- Modified the condition in useStepHandler to ensure that undefined content is only assigned for specific content types, enhancing the robustness of content handling.

* fix: Update bedrockOutputParser to handle maxTokens for adaptive models

- Modified the bedrockOutputParser logic to ensure that maxTokens is not set for adaptive models when neither maxTokens nor maxOutputTokens are provided, improving the handling of adaptive thinking configurations.
- Updated related tests to reflect these changes, ensuring accurate validation of the output for adaptive models.

* chore: Update @librechat/agents to version 3.1.38 in package.json and package-lock.json

* fix: Enhance file claiming and error handling in code processing

- Updated the `processCodeOutput` function to use a consistent file ID for claiming files, preventing duplicates and improving concurrency handling.
- Refactored the `createFileMethods` to include error handling for failed file claims, ensuring robust behavior when claiming files for conversations.
- These changes enhance the reliability of file management in the application.

* fix: Update adaptive thinking test for Opus 4.6 model

- Modified the test for configuring adaptive thinking to reflect that no default maxTokens should be set for the Opus 4.6 model.
- Updated assertions to ensure that maxTokens is undefined, aligning with the expected behavior for adaptive models.
2026-02-07 13:26:18 -05:00
Danny Avila
41e2348d47
🤖 feat: Claude Opus 4.6 - 1M Context, Premium Pricing, Adaptive Thinking (#11670)
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* feat: Implement new features for Claude Opus 4.6 model

- Added support for tiered pricing based on input token count for the Claude Opus 4.6 model.
- Updated token value calculations to include inputTokenCount for accurate pricing.
- Enhanced transaction handling to apply premium rates when input tokens exceed defined thresholds.
- Introduced comprehensive tests to validate pricing logic for both standard and premium rates across various scenarios.
- Updated related utility functions and models to accommodate new pricing structure.

This change improves the flexibility and accuracy of token pricing for the Claude Opus 4.6 model, ensuring users are charged appropriately based on their usage.

* feat: Add effort field to conversation and preset schemas

- Introduced a new optional `effort` field of type `String` in both the `IPreset` and `IConversation` interfaces.
- Updated the `conversationPreset` schema to include the `effort` field, enhancing the data structure for better context management.

* chore: Clean up unused variable and comments in initialize function

* chore: update dependencies and SDK versions

- Updated @anthropic-ai/sdk to version 0.73.0 in package.json and overrides.
- Updated @anthropic-ai/vertex-sdk to version 0.14.3 in packages/api/package.json.
- Updated @librechat/agents to version 3.1.34 in packages/api/package.json.
- Refactored imports in packages/api/src/endpoints/anthropic/vertex.ts for consistency.

* chore: remove postcss-loader from dependencies

* feat: Bedrock model support for adaptive thinking configuration

- Updated .env.example to include new Bedrock model IDs for Claude Opus 4.6.
- Refactored bedrockInputParser to support adaptive thinking for Opus models, allowing for dynamic thinking configurations.
- Introduced a new function to check model compatibility with adaptive thinking.
- Added an optional `effort` field to the input schemas and updated related configurations.
- Enhanced tests to validate the new adaptive thinking logic and model configurations.

* feat: Add tests for Opus 4.6 adaptive thinking configuration

* feat: Update model references for Opus 4.6 by removing version suffix

* feat: Update @librechat/agents to version 3.1.35 in package.json and package-lock.json

* chore: @librechat/agents to version 3.1.36 in package.json and package-lock.json

* feat: Normalize inputTokenCount for spendTokens and enhance transaction handling

- Introduced normalization for promptTokens to ensure inputTokenCount does not go negative.
- Updated transaction logic to reflect normalized inputTokenCount in pricing calculations.
- Added comprehensive tests to validate the new normalization logic and its impact on transaction rates for both standard and premium models.
- Refactored related functions to improve clarity and maintainability of token value calculations.

* chore: Simplify adaptive thinking configuration in helpers.ts

- Removed unnecessary type casting for the thinking property in updatedOptions.
- Ensured that adaptive thinking is directly assigned when conditions are met, improving code clarity.

* refactor: Replace hard-coded token values with dynamic retrieval from maxTokensMap in model tests

* fix: Ensure non-negative token values in spendTokens calculations

- Updated token value retrieval to use Math.max for prompt and completion tokens, preventing negative values.
- Enhanced clarity in token calculations for both prompt and completion transactions.

* test: Add test for normalization of negative structured token values in spendStructuredTokens

- Implemented a test to ensure that negative structured token values are normalized to zero during token spending.
- Verified that the transaction rates remain consistent with the expected standard values after normalization.

* refactor: Bedrock model support for adaptive thinking and context handling

- Added tests for various alternate naming conventions of Claude models to validate adaptive thinking and context support.
- Refactored `supportsAdaptiveThinking` and `supportsContext1m` functions to utilize new parsing methods for model version extraction.
- Updated `bedrockInputParser` to handle effort configurations more effectively and strip unnecessary fields for non-adaptive models.
- Improved handling of anthropic model configurations in the input parser.

* fix: Improve token value retrieval in getMultiplier function

- Updated the token value retrieval logic to use optional chaining for better safety against undefined values.
- Added a test case to ensure that the function returns the default rate when the provided valueKey does not exist in tokenValues.
2026-02-06 18:35:36 -05:00
Dustin Healy
bb220f1af9
👤 feat: AWS Bedrock Custom Inference Profiles (#11308)
* feat: add support for inferenceProfiles mapping

* fix: remove friendly name since api requires actual model id for validation alongside inference profile

* docs: more generic description in docs

* chore: address comments

* chore: update peer dependency versions in package.json

- Bump @aws-sdk/client-bedrock-runtime from ^3.941.0 to ^3.970.0
- Update @librechat/agents from ^3.0.78 to ^3.0.79

* fix: update @librechat/agents dependency to version 3.0.80

* test: add unit tests for inference profile configuration in initializeBedrock function

- Introduced tests to validate the applicationInferenceProfile setting based on model configuration.
- Ensured correct handling of environment variables and fallback scenarios for inference profile ARNs.
- Added cases for empty inferenceProfiles and absence of bedrock config to confirm expected behavior.

* fix: update bedrock endpoint schema reference in config

- Changed the bedrock endpoint reference from baseEndpointSchema to bedrockEndpointSchema for improved clarity and accuracy in configuration.

* test: add unit tests for Bedrock endpoint configuration

- Introduced tests to validate the configuration of Bedrock endpoints with models and inference profiles.
- Added scenarios for both complete and minimal configurations to ensure expected behavior.
- Enhanced coverage for the handling of inference profiles without a models array.

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2026-01-28 17:44:32 -05:00
David Neale
4d6ea3b182
🚧 feat: Add Bedrock Guardrails Support (#11141)
* feat: Add Bedrock Guardrails support

* Update packages/data-provider/src/schemas.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Prevent user override of guardrails

* refactor: Bedrock initialization and schema to handle guardrailConfig more effectively

- Updated the initializeBedrock function to apply guardrailConfig conditionally, ensuring it is set only when available.
- Removed guardrailConfig from bedrockInputSchema and bedrockInputParser to streamline input handling.
- Excluded guardrailConfig from tConversationSchema to simplify the schema definition.

These changes enhance the clarity and functionality of the Bedrock initialization process.

* test: Add unit tests for Bedrock initialization

- Introduced comprehensive tests for the initializeBedrock function, covering various configurations including environment variables, user-provided credentials, and guardrail configurations.
- Ensured proper handling of proxy settings and session tokens.
- Validated return structure and edge cases for credentials management.

These tests enhance the reliability and maintainability of the Bedrock initialization process.

---------

Co-authored-by: David Neale <david.neale@admiralfinancialservices.co.uk>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
2026-01-03 12:41:48 -05:00
Danny Avila
04a4a2aa44
🧵 refactor: Migrate Endpoint Initialization to TypeScript (#10794)
* refactor: move endpoint initialization methods to typescript

* refactor: move agent init to packages/api

- Introduced `initialize.ts` for agent initialization, including file processing and tool loading.
- Updated `resources.ts` to allow optional appConfig parameter.
- Enhanced endpoint configuration handling in various initialization files to support model parameters.
- Added new artifacts and prompts for React component generation.
- Refactored existing code to improve type safety and maintainability.

* refactor: streamline endpoint initialization and enhance type safety

- Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`.
- Simplified request handling by directly extracting keys from the request body.
- Improved type safety by ensuring user IDs are safely accessed with optional chaining.
- Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability.

* refactor: moved ModelService and extractBaseURL to packages/api

- Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models.
- Updated existing endpoint index to include the new models module.
- Enhanced utility functions for URL extraction and model data processing.
- Improved type safety and error handling across the models fetching logic.

* refactor: consolidate utility functions and remove unused files

- Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization.
- Removed redundant utility files and their associated tests to streamline the codebase.
- Updated imports across various client files to utilize the new consolidated functions.
- Enhanced overall maintainability by reducing the number of utility modules.

* refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file

* refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api`

* chore: remove unused 'res' from options in AgentClient

* refactor: file model imports and methods

- Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'.
- Consolidated file-related methods into a new file methods module in the data-schemas package.
- Added comprehensive tests for file methods including creation, retrieval, updating, and deletion.
- Enhanced the initializeAgent function to accept dependency injection for file-related methods.
- Improved error handling and logging in file methods.

* refactor: streamline database method references in agent initialization

* refactor: enhance file method tests and update type references to IMongoFile

* refactor: consolidate database method imports in agent client and initialization

* chore: remove redundant import of initializeAgent from @librechat/api

* refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints

* refactor: move updateUserPlugins logic to user.ts and simplify UserController

* refactor: update imports for user key management and remove UserService

* refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports

* refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas

* chore: update file model mock to use unified import from '~/models'

* chore: import order

* refactor: remove migrated to TS agent.js file and its associated logic from the endpoints

* chore: add reusable function to extract imports from source code in unused-packages workflow

* chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction

* chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output

* chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists

* chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports

* chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts
2025-12-11 16:37:16 -05:00