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# Life of a Request
## High Level architecture
<Image img={require('../../img/litellm_gateway.png')} style={{ width: '100%', maxWidth: '4000px' }} />
### Request Flow
1. **User Sends Request**: The process begins when a user sends a request to the LiteLLM Proxy Server (Gateway).
2. [**Virtual Keys**](../virtual_keys): At this stage the `Bearer` token in the request is checked to ensure it is valid and under it's budget. [Here is the list of checks that run for each request](https://github.com/BerriAI/litellm/blob/ba41a72f92a9abf1d659a87ec880e8e319f87481/litellm/proxy/auth/auth_checks.py#L43)
- 2.1 Check if the Virtual Key exists in Redis Cache or In Memory Cache
- 2.2 **If not in Cache**, Lookup Virtual Key in DB
3. **Rate Limiting**: The [MaxParallelRequestsHandler](https://github.com/BerriAI/litellm/blob/main/litellm/proxy/hooks/parallel_request_limiter.py) checks the **rate limit (rpm/tpm)** for the the following components:
- Global Server Rate Limit
- Virtual Key Rate Limit
- User Rate Limit
- Team Limit
4. **LiteLLM `proxy_server.py`**: Contains the `/chat/completions` and `/embeddings` endpoints. Requests to these endpoints are sent through the LiteLLM Router
5. [**LiteLLM Router**](../routing): The LiteLLM Router handles Load balancing, Fallbacks, Retries for LLM API deployments.
6. [**litellm.completion() / litellm.embedding()**:](../index#litellm-python-sdk) The litellm Python SDK is used to call the LLM in the OpenAI API format (Translation and parameter mapping)
7. **Post-Request Processing**: After the response is sent back to the client, the following **asynchronous** tasks are performed:
- [Logging to Lunary, MLflow, LangFuse or other logging destinations](./logging)
- The [MaxParallelRequestsHandler](https://github.com/BerriAI/litellm/blob/main/litellm/proxy/hooks/parallel_request_limiter.py) updates the rpm/tpm usage for the
- Global Server Rate Limit
- Virtual Key Rate Limit
- User Rate Limit
- Team Limit
- The `_ProxyDBLogger` updates spend / usage in the LiteLLM database. [Here is everything tracked in the DB per request](https://github.com/BerriAI/litellm/blob/ba41a72f92a9abf1d659a87ec880e8e319f87481/schema.prisma#L172)
## Frequently Asked Questions
1. Is a db transaction tied to the lifecycle of request?
- No, a db transaction is not tied to the lifecycle of a request.
- The check if a virtual key is valid relies on a DB read if it's not in cache.
- All other DB transactions are async in background tasks