# Specification: update-llm-history-storage

## Context
The task is needed to store the history of requests and responses from the Language Learning Machine (LLM) model. Currently, no data storage is used, and the history is not saved.

## User Scenarios
1. **<Scenario 1>:** The user wants to view the history of requests and responses made to the LLM model.
2. **<Scenario 2>:** The user wants to analyze trends or patterns in the behavior of the LLM model based on its request history.

## Functional Requirements
- FR-01: Implement a database (PostgreSQL 15) to store the history of requests and responses from the LLM model.
- FR-02: Use parameterized SQL queries for data storage and retrieval.
- FR-03: Validate data before processing using DTO structures.
- FR-04: Maintain versioning of the API by using a fixed path (/api/v1) for all versions.

## Non-Functional Requirements
- NFR-01: Ensure performance, availability, and scalability by optimizing database queries and considering concurrent access to the database.

## Boundaries (what is NOT included)
- <explicit exclusions>
  - No authentication or authorization required for API access (access limited by IP).

## Acceptance Criteria
- [ ] Implement the LLM history storage in PostgreSQL 15 with parameterized SQL queries.
- [ ] Validate data before processing using DTO structures.
- [ ] Maintain versioning of the API by using a fixed path (/api/v1) for all versions.
- [ ] Ensure performance, availability, and scalability by optimizing database queries and considering concurrent access to the database.

## Open Questions
- <questions to be resolved in the Clarify phase>
  - How should data be structured in the PostgreSQL database? (e.g., tables, columns, relationships)