update

src/llmfunction.jl

@@ -89,7 +89,35 @@ end
 
 
 
+""" 
 
+  Arguments:
+
+  Return:
+    
+
+  Example:
+
+  ```jldoctest
+  julia> using ChatAgent, CommUtils
+  julia> agent = ChatAgent.agentReflex("Jene")
+  julia> shorttermMemory = OrderedDict{String, Any}(
+    "user"        => "What's the latest AMD GPU?",
+    "Plan 1:"     => "   To answer this question, I will need to search for the latest AMD GPU using the wikisearch tool.\n",
+    "Act 1:"      => " wikisearch\n",
+    "Actinput 1:" => " amd gpu latest\n",
+    "Obs 1:"      => "No info available for your search query.",
+    "Act 2:"      => "  wikisearch\n",
+    "Actinput 2:" => "  amd graphics card latest\n",
+    "Obs 2:"      => "No info available for your search query.")
+  julia> guideline = "\nEvaluation Guideline:\n1. Check if the user's question has been understood correctly.\n2. Evaluate the tasks taken to provide the information requested by the user.\n3. Assess whether the correct tools were used for the task.\n4. Determine if the user's request was successfully fulfilled.\n5. Identify any potential improvements or alternative approaches that could be used in the future.\n\nThe response should include:\n1. A clear understanding of the user's question.\n2. The tasks taken to provide the information requested by the user.\n3. An evaluation of whether the correct tools were used for the task.\n4. A confirmation or explanation if the user's request was successfully fulfilled.\n5. Any potential improvements or alternative approaches that could be used in the future."
+  julia> score = grading(agent, guideline, shorttermMemory)
+  ```
+"""
+function winestockDB(a::agentReflex, phrase::T) where {T<:AbstractString}
+  
+  return result
+end