This is a JSON configuration file for an LLM (Large Language Model) system, likely a content generation tool like the LLaMA model.
Here are the main parts of the configuration:
### Global Settings
– **llm**: Specifies the type of LLM, which is “gpt” in this case.
– **model**: Specifies the model architecture, which is “llama-3.1-8b-instant” here.
– **temperature**: The temperature of the model, indicating the level of randomness or creativity in the output, set to 0.7.
– **serp_filter_mode**: This is currently empty, but if used, it would likely allow filtering of search engine results pages (SERPs) based on specific criteria.
– **serp_filter_domains**: Another empty field, but it would typically be used to specify specific domains to filter the search results.
### Column Configuration
– **columns_to_add**: A list of the names of the columns that will be generated, which are “Outline” and “Text”.
– **markdown_columns**: A list of the columns that can be displayed in markdown format, which is “Text”.
### Query Templates
A JSON object that defines templates for constructing queries. Each key corresponds to the name of a query, and the value is another JSON object. This is a recursive structure, with keys in the inner objects referring to other variables, which will be replaced with actual values during execution.
– **Outline**: Uses three variables, {intro}, {outln}, and {base_query}, which would result in an “Outline” query that starts with an introductory text, follows with a command to create an outline, and then uses the base query.
– **Text**: Uses the same {intro} and {base_query} as before, plus an additional {tekst} query and {outline_info}, resulting in a text query that includes an outline.
### Template Variables
A JSON object that defines template variables for filling in the query templates. This contains the actual templates to be used in the query construction. The keys of the inner objects in the “queries” JSON object refer to the template variables defined here.
– **topic**: The template for defining a topic.
– **base_query**: The base template for the queries.
– **outline_info**: A template for adding information about the outline.
– **intro**: An introductory text to kick off the queries, assuming the model should act as a creative content strategist.
– **outln**: A text command for creating the outline.
– **tekst**: A text command for writing the text.
– **{Cluster}**, **{Keywords}**, **{Anchor}**, **{Website}**, **{Lang_name}**, and **{Geo_name}**: These seem to be placeholders for actual query-specific information (like a cluster of search results, keywords used, etc.), which would be replaced with real data when executing the query.
