* build(dependencies)📦: Add numpydoc to dependencies in pyproject.toml
- Include numpydoc for documentation generation in utils.py.
* Update poetry lock file.
* chore(dependencies)🔧: Update optional dependencies and markers in poetry.lock and pyproject.toml
- Set several packages as optional in poetry.lock.
- Add 'extra == "utils"' marker to various packages in poetry.lock.
- Update numpydoc dependency to be optional in pyproject.toml.
- Add 'utils' extra section in pyproject.toml with numpydoc.
* Add `litellm-proxy` CLI (#10478)
* First cut at a Python client module for proxy
* Add UnauthorizedError + add_model method
* Add delete_model method
* Add example model_id to delete_model docstring
* Make delete_model raise NotFoundError
* Add get_model
* Add get_all_model_info
* Rename models.list_models to models.list
* Rename models.get_all_model_info to models.info
* Move ModelsManagementClient.get_all_model_group_info to ModelGroupsManagementClient.info
* Rename get_model to get
* Rename add_model to new
* Rename delete_model to delete
* In client classes, rename base_url attribute to _base_url and api_key attribute to _api_key
* Add ModelsManagementClient.updae method
* Add client.chat.completions (ChatClient)
* ruff format litellm/proxy/client
* ruff format tests/litellm/proxy/client/*.py
* Add latest changes
* Rename KeysManagementClient.create to KeysManagementClient.generate
* Add new parameters to KeysManagementClient.generate
* Add CredentialsManagementClient
* Remove api_key parameter from KeysManagementClient.generate
* Fix lint errors
* Add litellm/proxy/client/README.md
* README.md: Remove api_key param to client.keys.generate
* Fix mypy errors
* First cut at litellm-proxy cli
* Add test for `litellm-proxy models list`
* Nicer get_models_info
* get_models_info: --columns option
* Use format_timestamp in list_models
* ruff format litellm/proxy/client
* Simpler JSON printing with rich.print_json
* Move models-related commands to separate file
From `cli.py` to `groups/models.py`
* Improve directory structure
* Cleanup cli/groups/models.py - esp. usage of rich
* Refactoring
* Refactor mocking in cli/test_main.py
* Dedup models commands tests
* Update poetry.lock
* Fix mypy errors
* ruff format litellm/proxy/client/cli
* ruff format tests/litellm/proxy/client/*.py
* Fix timezone issue in test_models_list_table_format
* Add cli/README.md
* Small README.md tweaks
* README.md enhancements
* Add credentials commands
* Add chat commands
* Add http commands
* ruff format litellm/proxy/client/cli
* Fix lint errors in credentials and http commands
* json => json_lib
* test-key => sk-test-key
* Mock HTTP responses so http command tests pass
* Fix mypy error in credentials.py
* bump: version 1.67.5 → 1.67.6
* build: update litellm version
* cli/main.py: show_envvar=True
* Increase test job timeout to 8 minutes
because it looks like maybe the job is getting canceled because it takes
too long with the additional tests?
This probably could be reverted once #10484 is merged, since that speeds
up pytest runs greatly.
* Add keys functionality to library/CLI
* Add info about keys commands to litellm/proxy/client/cli/README.md
* Move Model Information section in CLI README
* Make Model Information a level 4 heading
* Move rich to extras
as suggested by @ishaan-jaff
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* pin rich=13.7.1
---------
Co-authored-by: Marc Abramowitz <abramowi@adobe.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
The client provides access to a low-level HTTP client for making direct
requests to the LiteLLM proxy server. This is useful when you need more
control or when working with endpoints that don't yet have a high-level
interface.
```python
In [2]: client.http.request(
...: method="POST",
...: uri="/health/test_connection",
...: json={
...: "litellm_params": {
...: "model": "gpt-4",
...: "custom_llm_provider": "azure_ai",
...: "litellm_credential_name": None,
...: "api_key": "6xxxxxxx",
...: "api_base": "https://litellm8397336933...",
...: },
...: "mode": "chat",
...: },
...: )
Out[2]:
{'status': 'error',
'result': {'model': 'gpt-4',
'custom_llm_provider': 'azure_ai',
'litellm_credential_name': None,
'api_base': 'https://litellm8397336933...',
...
```
* feat(sidebars): add new item for agentops integration in Logging & Observability category
* Update agentops_integration.md to enhance title formatting and remove redundant section
* Enhance AgentOps integration in documentation and codebase by removing LiteLLMCallbackHandler references, adding environment variable configurations, and updating logging initialization for AgentOps support.
* Update AgentOps integration documentation to include instructions for obtaining API keys and clarify environment variable setup.
* Add unit tests for AgentOps integration and improve error handling in token fetching
* Add unit tests for AgentOps configuration and token fetching functionality
* Corrected agentops test directory
* Linting fix
* chore: add OpenTelemetry dependencies to pyproject.toml
* chore: update OpenTelemetry dependencies and add new packages in pyproject.toml and poetry.lock
* feat(schema.prisma): initial commit adding aggregate table for team spend
allows team spend to be visible at 1m+ logs
* feat(db_spend_update_writer.py): support logging aggregate team spend
allows usage dashboard to work at 1m+ logs
* feat(litellm-proxy-extras/): add new migration file
* fix(db_spend_update_writer.py): fix return type
* build: bump requirements
* fix: fix ruff error
Ishaan Jaff