class LLMEndpointOptimizer

Overview

Enhanced optimizer with LLM-based optimization capabilities for refining non-standard or unconventional paths and parameters

Defined in:

optimizer/llm_optimizer.cr

Constant Summary

LLM_OPTIMIZE_FORMAT = "{\n \"type\": \"json_schema\",\n \"json_schema\": {\n \"name\": \"optimize_endpoint\",\n \"schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"optimized_url\": {\n \"type\": \"string\"\n },\n \"optimized_params\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\"\n },\n \"param_type\": {\n \"type\": \"string\"\n },\n \"value\": {\n \"type\": \"string\"\n }\n },\n \"required\": [\"name\", \"param_type\", \"value\"],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"optimized_url\", \"optimized_params\"],\n \"additionalProperties\": false\n },\n \"strict\": true\n }\n}"

LLM response format for optimization. The canonical prompt text lives in LLM::PromptOverrides.llm_optimize_prompt — the older LLM_OPTIMIZE_PROMPT constant that used to live here was a dead duplicate and has been removed.

VALID_PARAM_TYPES = ["query", "json", "form", "header", "cookie", "path"] of ::String

Constructors

Instance Method Summary

Instance methods inherited from class EndpointOptimizer

add_path_parameters(endpoints : Array(Endpoint)) : Array(Endpoint) add_path_parameters, apply_pvalue(param_type, param_name, param_value) : String apply_pvalue, combine_url_and_endpoints(endpoints : Array(Endpoint)) : Array(Endpoint) combine_url_and_endpoints, normalize_url_shapes(endpoints : Array(Endpoint)) : Array(Endpoint) normalize_url_shapes, optimize(endpoints : Array(Endpoint)) : Array(Endpoint) optimize, optimize_endpoints(endpoints : Array(Endpoint)) : Array(Endpoint) optimize_endpoints

Constructor methods inherited from class EndpointOptimizer

new(logger : NoirLogger, options : Hash(String, YAML::Any)) new

Constructor Detail

def self.new(logger : NoirLogger, options : Hash(String, YAML::Any)) #

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Instance Method Detail

def optimize(endpoints : Array(Endpoint)) : Array(Endpoint) #

Enhanced optimization with LLM capabilities


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