| # DEPRECATED CONFIG FORMAT | |
| # Description: This file contains the configurations for AutoRestTest. | |
| # Change the values for the variables as described in the README. | |
| SPECIFICATION_LOCATION = "aratrl-openapi/market2.yaml" # The location of the Specification file relative to the root directory. | |
| # Note: Only .yaml and .json files are supported. The Specification file must be in the OpenAPI 3.0 format. | |
| # The file extension must be specified in the path (e.g., .yaml or .json). | |
| OPENAI_LLM_ENGINE = "gpt-4o-mini" # The OpenAI language model engine to use for the value agent generation. | |
| DEFAULT_TEMPERATURE = 0.7 # The default temperature for the OpenAI language model. | |
| # Note: The OpenAI engine must be compatible with the JSON mode. Also, for the cost output to be accurate, the engine must be either "gpt-4o", "gpt-4o-mini", "o1", or "o1-mini". | |
| ENABLE_HEADER_AGENT = ( | |
| False # Specifies whether to enable the Header Agent (True/False). | |
| ) | |
| # Note: The header agent uses Basic tokens and is only beneficial for certain APIs that require such authorization. | |
| # The following variables specify the caching configurations. Ensure that you have ran the program once on the specification before setting these values to true. | |
| USE_CACHED_GRAPH = True # Specifies whether to use the cached Semantic Operation Dependency Graph (true/false). | |
| USE_CACHED_TABLE = True # Specifies whether to use the cached Q-table for the Value Agent and optional Header Agent (true/false). This will avoid rerunning the LLM. | |
| # Note: Assign the caching to False if you have made changes to the graph construction or table generation for the changes to take effect. | |
| # The following variables are responsible for the Q-learning agent configurations. | |
| LEARNING_RATE = 0.1 # The learning rate (alpha) for the Q-learning agent. | |
| DISCOUNT_FACTOR = 0.9 # The discount factor (gamma) for the Q-learning agent. | |
| MAX_EXPLORATION = 1 # The maximum exploration rate (epsilon) for the Q-learning agent action selection. | |
| # Note: Epsilon-decay is implemented in the Q-learning agent such that the exploration rate decreases over time to 0.1. | |
| # The following variables are responsible for the request generation configurations. | |
| TIME_DURATION = 1200 # The time duration for the request generation process. | |
| MUTATION_RATE = 0.2 # The mutation rate for the request generation process. | |