error: the lock file /path/to/lsp-ai/Cargo.lock needs to be updated but --frozen was passed to prevent this
If you want to try to generate the lock file without accessing the network, remove the --frozen flag and use --offline instead.

"lsp-ai.serverConfiguration": {
        "memory": {
            "file_store": {}
          },
          "models": {
            "model1": {
              "type": "open_ai",
              "chat_endpoint": "https://api.openai.com/v1/chat/completions",
              "model": "gpt-4o",
              "auth_token": "sk-xxxxxxxxxxxxxx"
            }
          },
          "completion": {
            "model": "model1",
            "parameters": {
              "max_context": 2048,
              "max_tokens": 128,
              "messages": [
                {
                  "role": "system",
                  "content": "Instructions:\n- You are an AI programming assistant.\n- Given a piece of code with the cursor location marked by \"<CURSOR>\", replace \"<CURSOR>\" with the correct code or comment.\n- First, think step-by-step.\n- Describe your plan for what to build in pseudocode, written out in great detail.\n- Then output the code replacing the \"<CURSOR>\"\n- Ensure that your completion fits within the language context of the provided code snippet (e.g., Python, JavaScript, Rust).\n\nRules:\n- Only respond with code or comments.\n- Only replace \"<CURSOR>\"; do not include any previously written code.\n- Never include \"<CURSOR>\" in your response\n- If the cursor is within a comment, complete the comment meaningfully.\n- Handle ambiguous cases by providing the most contextually appropriate completion.\n- Be consistent with your responses."
                },
                {
                  "role": "user",
                  "content": "def greet(name):\n    print(f\"Hello, {<CURSOR>}\")"
                },
                {
                  "role": "assistant",
                  "content": "name"
                },
                {
                  "role": "user",
                  "content": "function sum(a, b) {\n    return a + <CURSOR>;\n}"
                },
                {
                  "role": "assistant",
                  "content": "b"
                },
                {
                  "role": "user",
                  "content": "fn multiply(a: i32, b: i32) -> i32 {\n    a * <CURSOR>\n}"
                },
                {
                  "role": "assistant",
                  "content": "b"
                },
                {
                  "role": "user",
                  "content": "# <CURSOR>\ndef add(a, b):\n    return a + b"
                },
                {
                  "role": "assistant",
                  "content": "Adds two numbers"
                },
                {
                  "role": "user",
                  "content": "# This function checks if a number is even\n<CURSOR>"
                },
                {
                  "role": "assistant",
                  "content": "def is_even(n):\n    return n % 2 == 0"
                },
                {
                  "role": "user",
                  "content": "{CODE}"
                }
              ]
            }
          }
    },
    ```
The code generated using the above prompt needs to be deleted before it can be used.
Is there any good way to directly delete it?


def TreeNode:```python
    # Binary tree node definition
    def __init__(self, value=0, left=None, right=None):
        self.value = value
        self.left = left
        self.right = right
```python
# Function to create a binary tree from a list
def create_binary_tree(lst, index=0):
    if index < len(lst):
        node = TreeNode(lst[index])
        node.left = create_binary_tree(lst, 2 * index + 1)
        node.right = create_binary_tree(lst, 2 * index + 2)
        return node
    return None
```python
# Example usage
if __name__ == "__main__":
    elements = [1, 2, 3, 4, 5, 6, 7]
    root = create_binary_tree(elements)
    print(root.value)  # Output: 1
```python
```python
print(root.left.value)  # Output: 2
```print(root.right.value)  # Output: 3

stderr: ERROR lsp_ai::memory_worker: error in memory worker task: Error getting rope slice
stderr: ERROR lsp_ai::transformer_worker: generating response: channel closed
stderr: ERROR lsp_ai::memory_worker: error in memory worker task: Error getting rope slice
stderr: ERROR lsp_ai::transformer_worker: generating response: channel closed
stderr: ERROR lsp_ai::memory_worker: error in memory worker task: Error getting rope slice
stderr: ERROR lsp_ai::transformer_worker: generating response: channel closed
stderr: ERROR lsp_ai::memory_worker: error in memory worker task: Error getting rope slice
stderr: ERROR lsp_ai::transformer_worker: generating response: channel closed
stderr: ERROR lsp_ai::memory_worker: error in memory worker task: Error getting rope slice
stderr: ERROR lsp_ai::transformer_worker: generating response: channel closed

// Send:
{"jsonrpc":"2.0","id":8,"method":"textDocument/completion","params":{"textDocument":{"uri":"file:///home/raunak/Documents/zed-lsp-ai/test.py"},"position":{"line":1,"character":5}}}
// Receive:
{"jsonrpc":"2.0","id":8,"error":{"code":-32603,"message":"channel closed"}}
// Send:
{"jsonrpc":"2.0","id":9,"method":"textDocument/completion","params":{"textDocument":{"uri":"file:///home/raunak/Documents/zed-lsp-ai/test.py"},"position":{"line":2,"character":5}}}
// Receive:
{"jsonrpc":"2.0","id":9,"error":{"code":-32603,"message":"channel closed"}}

❯ $env:OPENAI_API_KEY
sk-proj-...

2024-06-08T21:55:06.687 helix_lsp::transport [ERROR] lsp-ai <- InternalError: "{\"message\":\"messages.0.tool_calls: Extra inputs are not permitted\",\"type\":\"invalid_request_error\"}"

### Créer un ENV conda & l'activer.
conda create -n lsp-ai python=3.12 -y
conda activate lsp-ai

### cloner le Depot.
git clone https://github.com/SilasMarvin/lsp-ai.git

### Se déplacer dans le dossier créé.
cd lsp-ai

### Vérifier que Cargo est bien installer.
cargo --version 

###### Si OK ! alors on continu...
### Lancer la commande d'installation. 
cargo install lsp-ai -F llama_cpp

# Installation Terminée.