* create OCI required files
* request and response conversion for non-streaming chat
* support tool calling with OCI generic API without streaming
* adaptation of api call for generic and cohere format
* include tool calls and responses in generic api and dropping support for cohere
* fix invalid content-length error
* support streaming for generic api
* fix auth error when using acompletion with streaming
* refactor: use base_llm_http_handler and include API type definitions
* update types and add type safety in different methods
* fix OCIFunction format
* create custom stream wrapper for decoding OCI stream
* remove unused files
* create unit tests for OCI
* lint the code
* remove manual test
* docs: update the docs to include OCI
* add _transform_responses_api_function_call_to_chat_completion_message
* test_responses_api_with_tool_calls
* TestFunctionCallTransformation
* fixes for responses API testing google ai studio
* TestGoogleAIStudioResponsesAPITest
* test_responses_api_with_tool_calls
* test_responses_api_with_tool_calls
* test_basic_openai_responses_streaming_delete_endpoint
* fix(create_key_button.tsx): add prompts on UI
* feat(key_management_endpoints.py): support adding prompt to key via `/key/update`
* fix(key_info_view.tsx): show existing prompts on key in key_info_view.tsx
* fix(key_edit_view.tsx): UX - disable premium feature for non-premium users
prevent accidental clicking
* fix(create_key_button.tsx): disable premium features behind flag, prevent errors
* feat(prompts.tsx): add new ui component to view created prompts
enables viewing prompts created on config
* feat(prompt_info.tsx): add component for viewing the prompt information
* feat(prompt_endpoints.py): support converting dotprompt to json structure + accept json structure in promptmanager
allows prompt manager to work with api endpoints
* test(test_prompt_manager.py): add unit tests for json data input
* feat(dotprompt/__init__.py): add prompt data to dotpromptmanager
* fix(prompt_endpoints.py): working crud endpoints for prompt management
* feat(prompts/): support `prompt_file` for dotprompt
allows to precisely point to the prompt file a prompt should use
* feat(proxy/utils.py): resolve prompt id correctly
resolves user sent prompt id with internal prompt id
* feat(schema.prisma): initial pr with db schema for prompt management table
allows post endpoints to work with backend
* feat(prompt_endpoints.py): use db in patch_prompt endpoint
* feat(prompt_endpoints.py): use db for update_prompt endpoint
* feat(prompt_endpoints.py): use db on prompt delete endpoint
* build(schema.prisma): add prompt tale to schema.prisma in litellm-proxy-extras
* build(migration.sql): add new sql migration file
* fix(init_prompts.py): fix init
* feat(prompt_info_view.tsx): show the raw prompt template on ui
allows developer to know the prompt template they'll be calling
* feat(add_prompt_form.tsx): working ui add prompt flow
allows user to add prompts to litellm via ui
* build(ui/): styling fixes
* build(ui/): prompts.tsx
styling improvements
* fix(add_prompt_form.tsx): styling improvements
* build(prompts.tsx): styling improvements
* build(ui/): styling improvements
* build(ui/): fix ui error
* fix: fix ruff check
* docs: document new api params
* test: update tests
* fix(create_key_button.tsx): add prompts on UI
* feat(key_management_endpoints.py): support adding prompt to key via `/key/update`
* fix(key_info_view.tsx): show existing prompts on key in key_info_view.tsx
* fix(key_edit_view.tsx): UX - disable premium feature for non-premium users
prevent accidental clicking
* fix(create_key_button.tsx): disable premium features behind flag, prevent errors
* feat(prompts.tsx): add new ui component to view created prompts
enables viewing prompts created on config
* feat(prompt_info.tsx): add component for viewing the prompt information
* feat: initial commit with prompt management support on pre-call hooks
allows prompt templates to work before assigning specific models
* feat: initial logic for independent prompt management settings
* feat(proxy_server.py): working logic for loading in the prompt templates from config yaml
allows creating an independent 'prompts' section in the config yaml
* feat(prompt_registry.py): working e2e custom prompt templates with guardrails and models
* refactor(prompts/): move folder inside proxy folder
easier management for prompt endpoints
* feat(prompt_endpoints.py): working `/prompt/list` endpoint
returns all available prompts on proxy
* feat(key_management_endpoints.py): support storing 'prompts' in key metadata
allows giving keys access to specific prompts
* feat(prompt_endpoints.py): enable key-based access to /prompts/list
ensures key can only see prompts it has access to
* fix(init_prompts.py): fix linting error
* fix: fix ruff check
* fix(proxy/_types.py): add 'prompts' to newteamrequest
* fix(litellm_logging.py): update logged message with scrubbed value
