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* fix(create_user_button.tsx): allow admin to set models user has access to, on invite Enables controlling model access on invite * feat(auth_checks.py): enforce 'no-model-access' special model name on backend prevent user from calling models if default key has no model access * fix(chat_ui.tsx): allow user to input custom model * fix(chat_ui.tsx): pull available models based on models key has access to * style(create_user_button.tsx): move default model inside 'personal key creation' accordion * fix(chat_ui.tsx): fix linting error * test(test_auth_checks.py): add unit-test for special model name * docs(internal_user_endpoints.py): update docstring * fix test_moderations_bad_model * Litellm dev 02 27 2025 p6 (#8891) * fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads * fix(sagemaker/handler.py): support passing model id on async streaming * fix(litellm_pre_call_utils.py): Fixes https://github.com/BerriAI/litellm/issues/7237 * Fix calling claude via invoke route + response_format support for claude on invoke route (#8908) * fix(anthropic_claude3_transformation.py): fix amazon anthropic claude 3 tool calling transformation on invoke route move to using anthropic config as base * fix(utils.py): expose anthropic config via providerconfigmanager * fix(llm_http_handler.py): support json mode on async completion calls * fix(invoke_handler/make_call): support json mode for anthropic called via bedrock invoke * fix(anthropic/): handle 'response_format: {"type": "text"}` + migrate amazon claude 3 invoke config to inherit from anthropic config Prevents error when passing in 'response_format: {"type": "text"} * test: fix test * fix(utils.py): fix base invoke provider check * fix(anthropic_claude3_transformation.py): don't pass 'stream' param * fix: fix linting errors * fix(converse_transformation.py): handle response_format type=text for converse * converse_transformation: pass 'description' if set in response_format (#8907) * test(test_bedrock_completion.py): e2e test ensuring tool description is passed in * fix(converse_transformation.py): pass description, if set * fix(transformation.py): Fixes https://github.com/BerriAI/litellm/issues/8767#issuecomment-2689887663 * Fix bedrock passing `response_format: {"type": "text"}` (#8900) * fix(converse_transformation.py): ignore type: text, value in response_format no-op for bedrock * fix(converse_transformation.py): handle adding response format value to tools * fix(base_invoke_transformation.py): fix 'get_bedrock_invoke_provider' to handle cross-region-inferencing models * test(test_bedrock_completion.py): add unit testing for bedrock invoke provider logic * test: update test * fix(exception_mapping_utils.py): add context window exceeded error handling for databricks provider route * fix(fireworks_ai/): support passing tools + response_format together * fix: cleanup * fix(base_invoke_transformation.py): fix imports * (Feat) - Show Error Logs on LiteLLM UI (#8904) * fix test_moderations_bad_model * use async_post_call_failure_hook * basic logging errors in DB * show status on ui * show status on ui * ui show request / response side by side * stash fixes * working, track raw request * track error info in metadata * fix showing error / request / response logs * show traceback on error viewer * ui with traceback of error * fix async_post_call_failure_hook * fix(http_parsing_utils.py): orjson can throw errors on some emoji's in text, default to json.loads * test_get_error_information * fix code quality * rename proxy track cost callback test * _should_store_errors_in_spend_logs * feature flag error logs * Revert "_should_store_errors_in_spend_logs" This reverts commit |
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| .eslintrc.json | ||
| build_ui.sh | ||
| build_ui_custom_path.sh | ||
| next.config.mjs | ||
| package-lock.json | ||
| package.json | ||
| postcss.config.js | ||
| README.md | ||
| tailwind.config.js | ||
| tailwind.config.ts | ||
| tsconfig.json | ||
| ui_colors.json | ||
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.