agentic-langchain-chat-using-lm-studio/README.md

# Langchain multi-tool LLM service

## Run

> First, configure `.env` file for your LM Studio MODEL and HOST!

```bash
uvicorn app.main:app --reload
```

## API

### List of the Tools

```bash
GET /tools
Content-Type: application/json
```

**Response:**

```bash
[
  {
    "id": 0,
    "name": "string",
    "description": "string"
  }
]
```

### Create a Tool

```bash
POST /tools
Content-Type: application/json

{
  "name": "Calculator",
  "description": "Useful for performing mathematical calculations. Input should be a valid mathematical expression.",
  "function_code": "def tool_function(input: str) -> str:\n    try:\n        aeval = Interpreter()\n        result = aeval(input)\n        return str(result)\n    except Exception as e:\n        return f\"Error evaluating expression: {e}\""
}
```

**Response:**


```bash
{
  "id": 0,
  "name": "string",
  "description": "string"
}
```

### Get the Tool

```bash
GET /tools/{id}
Content-Type: application/json
```

**Response:**


```bash
{
  "id": 0,
  "name": "string",
  "description": "string"
}
```


### Submit a Query

```bash
POST /query
Content-Type: application/json

{
    "input": "What is the capital of France and what is 15 multiplied by 3?"
}
```

**Response:**

```bash
{
    "output": "Your request is being processed."
}
```

### Get processed Answer

```bash
GET /answer/{question_id}
Content-Type: application/json
```

**Response:**

```bash
{
  "id": 0,
  "query": "string",
  "answer": "string",
  "timestamp": "string"
}
```