wsargent

### Task:
Respond to the user query using the provided context, incorporating inline citations in the format [source_id] **only when the <source_id> tag is explicitly provided** in the context.

### Guidelines:
- If you don't know the answer, clearly state that.
- If uncertain, ask the user for clarification.
- Respond in the same language as the user's query.
- If the context is unreadable or of poor quality, inform the user and provide the best possible answer.
- If the answer isn't present in the context but you possess the knowledge, explain this to the user and provide the answer using your own understanding.
- **Only include inline citations using [source_id] when a <source_id> tag is explicitly provided in the context.**  

wsargent

---
- name: Provision JupyterLab on a VM
  hosts: all
  become: yes
  vars_files:
    - vars/main.yml

  pre_tasks:
    - name: Install system dependencies
      import_tasks: tasks/system_deps.yml

wsargent

# https://docs.litellm.ai/docs/proxy/configs
# https://docs.litellm.ai/docs/proxy/quickstart

model_list:
  # https://docs.lambdalabs.com/public-cloud/lambda-inference-api/#listing-models
  - model_name: hermes3-70b
    litellm_params:
      model: openai/hermes3-70b
      api_key: "os.environ/OPENAI_API_KEY"
      api_base: "os.environ/OPENAI_API_BASE"

wsargent

---
- hosts: all
  become: true
  vars:
    postgres_version: "16"
    postgres_password: ""
  tasks:
    - name: Install required packages
      apt:
        name:

wsargent

import json
import requests
import os

# https://schema.org/Recipe
def create_recipe_from_arguments(name: str,                              
                              directions: str,
                              ingredients: str, 
                              author: str = "",
                              cook_time: str = "10m",

wsargent

import requests
import os

from urllib.parse import urljoin

def find_recipes_in_mealie(
                searchTerm: str,
                categories_csv: str = None,
                tags_csv: str = None) -> str:
    """

wsargent

import requests
import datetime
import json
import os

def read_mealplans(start_date: str = None, end_date: str = None):
    """
    Reads the meal plans from Mealie and returns it as a string.
    
    Parameters

wsargent

import re
import requests
import os
import json

import logging

#logging.basicConfig(level=logging.DEBUG)

def update_recipe_categories(recipe_slug: str, categories_csv: str) -> None:

wsargent

import re
import requests
import os
import json


def add_recipe_note(recipe_slug: str, note_title: str, note_text:str) -> None:
    """
    Appends a new note to the given recipe in Mealie.
    

wsargent

import re
import requests
import os
import json

def update_recipe_tags(recipe_slug: str, tags_csv: str) -> dict:
    """
    Updates a recipe in Mealie with the given tags.
    
    Parameters