* fix(anthropic/chat/transformation.py): Don't set tool choice on response_format conversion when thinking is enabled
Not allowed by Anthropic
Fixes https://github.com/BerriAI/litellm/issues/8901
* refactor: move test to base anthropic chat tests
ensures consistent behaviour across vertex/anthropic/bedrock
* fix(anthropic/chat/transformation.py): if thinking token is specified and max tokens is not - ensure max token to anthropic is higher than thinking tokens
* feat(converse_transformation.py): correctly handle thinking + response format on Bedrock Converse
Fixes https://github.com/BerriAI/litellm/issues/8901
* fix(converse_transformation.py): correctly handle adding max tokens
* test: handle service unavailable error
* fix(proxy_server.py): get master key from environment, if not set in general settings or general settings not set at all
* test: mark flaky test
* test(test_proxy_server.py): mock prisma client
* ci: add new github workflow for testing just the mock tests
* fix: fix linting error
* ci(conftest.py): add conftest.py to isolate proxy tests
* build(pyproject.toml): add respx to dev dependencies
* build(pyproject.toml): add prisma to dev dependencies
* test: fix mock prompt management tests to use a mock anthropic key
* ci(test-litellm.yml): parallelize mock testing
make it run faster
* build(pyproject.toml): add hypercorn as dev dep
* build(pyproject.toml): separate proxy vs. core dev dependencies
make it easier for non-proxy contributors to run tests locally - e.g. no need to install hypercorn
* ci(test-litellm.yml): pin python version
* test(test_rerank.py): move test - cannot be mocked, requires aws credentials for e2e testing
* ci: add thank you message to ci
* test: add mock env var to test
* test: add autouse to tests
* test: test mock env vars for e2e tests
* fix(proxy_server.py): get master key from environment, if not set in general settings or general settings not set at all
* test: mark flaky test
* test(test_proxy_server.py): mock prisma client
* ci: add new github workflow for testing just the mock tests
* fix: fix linting error
* ci(conftest.py): add conftest.py to isolate proxy tests
* build(pyproject.toml): add respx to dev dependencies
* build(pyproject.toml): add prisma to dev dependencies
* test: fix mock prompt management tests to use a mock anthropic key
* ci(test-litellm.yml): parallelize mock testing
make it run faster
* build(pyproject.toml): add hypercorn as dev dep
* build(pyproject.toml): separate proxy vs. core dev dependencies
make it easier for non-proxy contributors to run tests locally - e.g. no need to install hypercorn
* ci(test-litellm.yml): pin python version
* test(test_rerank.py): move test - cannot be mocked, requires aws credentials for e2e testing
* ci: add thank you message to ci
* test: add mock env var to test
* test: add autouse to tests
* test: test mock env vars for e2e tests
* feat(spend_management_endpoints.py): expose new endpoint for querying user's usage at 1m+ spend logs
Allows user to view their spend at 1m+ spend logs
* build(schema.prisma): add api_requests to dailyuserspend table
* build(migration.sql): add migration file for new column to daily user spend table
* build(prisma_client.py): add logic for copying over migration folder, if deploy/migrations present in expected location
enables easier testing of prisma migration flow
* build(ui/): initial commit successfully using the dailyuserspend table on the UI
* refactor(internal_user_endpoints.py): refactor `/user/daily/activity` to give breakdowns by provider/model/key
* feat: feature parity (cost page) with existing 'usage' page
* build(ui/): add activity tab to new_usage.tsx
gets to feature parity on 'All Up' page of 'usage.tsx'
* fix(proxy/utils.py): count number of api requests in daily user spend table
allows us to see activity by model on new usage tab
* style(new_usage.tsx): fix y-axis to be in ascending order of date
* fix: fix linting errors
* fix: fix ruff check errors
* fix: initial commit for adding provider model discovery to gemini
* feat(gemini/): add model discovery for gemini/ route
* docs(set_keys.md): update docs to show you can check available gemini models as well
* feat(anthropic/): add model discovery for anthropic api key
* feat(xai/): add model discovery for XAI
enables checking what models an xai key can call
* ci: bump ci config yml
* fix(topaz/common_utils.py): fix linting error
* fix: fix linting error for python38
