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Pre-Submission checklist
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.github/pull_request_template.md

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**Please complete all items before asking a LiteLLM maintainer to review your PR**
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- [ ] I have Added testing in the `tests/litellm/` directory, **Adding at least 1 test is a hard requirement** - [see details](https://docs.litellm.ai/docs/contributing#2-adding-testing-to-your-pr)
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- [ ] I have Added testing in the `tests/litellm/` directory, **Adding at least 1 test is a hard requirement** - [see details](https://docs.litellm.ai/docs/extras/contributing_code)
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- [ ] I have added a screenshot of my new test passing locally
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- [ ] My PR passes all unit tests on `make unit-test` [https://docs.litellm.ai/docs/contributing]
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- [ ] My PR passes all unit tests on (`make unit-test`)[https://docs.litellm.ai/docs/extras/contributing_code]
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- [ ] My PR's scope is as isolated as possible, it only solves 1 specific problem
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README.md

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## Contributing
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Interested in contributing? Contributions to LiteLLM Python SDK, Proxy Server, and contributing LLM integrations are both accepted and highly encouraged! [See our Contribution Guide for more details](https://docs.litellm.ai/docs/contributing)
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Interested in contributing? Contributions to LiteLLM Python SDK, Proxy Server, and contributing LLM integrations are both accepted and highly encouraged! [See our Contribution Guide for more details](https://docs.litellm.ai/docs/extras/contributing_code)
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# Enterprise
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For companies that need better security, user management and professional support

litellm/model_prices_and_context_window_backup.json

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"max_tokens": 8191,
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"max_input_tokens": 32000,
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"max_output_tokens": 8191,
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"input_cost_per_token": 0.000001,
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"output_cost_per_token": 0.000003,
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"input_cost_per_token": 0.0000001,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"supports_function_calling": true,
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"mode": "chat",
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"max_tokens": 8191,
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"max_input_tokens": 32000,
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"max_output_tokens": 8191,
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"input_cost_per_token": 0.000001,
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"output_cost_per_token": 0.000003,
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"input_cost_per_token": 0.0000001,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"supports_function_calling": true,
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"mode": "chat",

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