Linkup

Linkup is an AI dev tool that helps you connect your code with your LLM. It’s a platform that allows you to connect your code with your LLM and get observability.

Check out the LinkUp website for more information.

1. Add Linkup Parameters to Your Request

Include linkup_params in your request’s keywordsai_params:

{
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Please summarize the information about Microsoft's 2024 revenue: {% if linkup_search_response %}{{ linkup_search_response.answer }}{% endif %}"}
  ],
  "linkup_params": {
      "api_key": {{"YOUR_LINKUP_API_KEY"}},
      "q": "What is Microsoft's 2024 revenue?",
      "depth": "deep",
      "outputType": "sourcedAnswer",
      "includeImages": false
    }
  }

2. Use Template Variables in Your Messages

The Linkup response will be available as a variable named linkup_search_response in your templates. You can access it using Jinja2 syntax:

You can learn how to use Jinja2 syntax in the Jinja2 documentation.

{% if linkup_search_response %}
  {{ linkup_search_response.answer }}
  
  Sources:
  {% for source in linkup_search_response.sources %}
    - {{ source.name }}: {{ source.url }}
      {{ source.snippet }}
  {% endfor %}
{% endif %}

3. Using with Prompts

If you’re using Keywords AI Prompts, you can include the Linkup template variables in your prompt templates. When you make a request with linkup_params, the variables will be populated and rendered in your prompt.

How It Works

1. When a request with linkup_params is received, the system:

   • Extracts the Linkup parameters from the request
   • Calls the Linkup API to retrieve search results
   • Adds the results to the template variables as linkup_search_response
   • Renders the prompt templates with these variables

2. If you’re using stored prompts, the system:

   • Loads the prompt without rendering variables
   • Merges variables from the prompt and the request
   • Processes Linkup parameters and adds results to variables
   • Renders the prompt with all variables, including Linkup results

Parameters

The linkup_params object supports the following parameters:

Parameter	Type	Description	Default
q	string	The search query	Required
depth	string	The depth of the search ("standard" or "deep")	"deep"
outputType	string	The type of output ("searchResults", "sourcedAnswer" or "structured")	"sourcedAnswer"
structuredOutputSchema	string	Schema for structured output	null
includeImages	boolean	Whether to include images in the response	false

Response Structure

The linkup_search_response variable will contain:

{
  "answer": "The answer text",
  "sources": [
    {
      "name": "Source name",
      "url": "Source URL",
      "snippet": "Text snippet from the source"
    },
   // ...
  ]
}

Example

Here’s a complete example of using the Linkup integration:

Python

import requests

def demo_call(input_text, 
              model="gpt-4o-mini",
              token="YOUR_KEYWORDS_AI_API_KEY"):
    headers = {
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {token}',
    }

    data = {
        "messages": [
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": input_text}
        ],
        "linkup_params": {
            "q": "What is Microsoft's 2024 revenue?",
            "depth": "deep",
            "outputType": "sourcedAnswer",
            "includeImages": False
        },
        "variables": {
            "company_name": "Microsoft"
        },
        "model": model
    }

    response = requests.post('https://api.keywordsai.co/api/chat/completions', headers=headers, json=data)
    return response

input_text = "Please provide information about {{ company_name }}'s 2024 revenue and cite your sources."
response = demo_call(input_text)
print(response.json())

With a prompt template like:

Please provide information about {{ company_name }}'s 2024 revenue and cite your sources.

{% if linkup_search_response %}
Here's what I found:
{{ linkup_search_response.answer }}

Sources:
{% for source in linkup_search_response.sources %}
- {{ source.name }}: {{ source.url }}
{% endfor %}
{% endif %}

Error Handling

If there’s an error with the Linkup API call, it will be added to the warnings_dict in the response with the key LINKUP_SEARCH_ERROR.