init

src/Plugins/BotSharp.Plugin.PythonInterpreter/BotSharp.Plugin.PythonInterpreter.csproj

@@ -33,7 +33,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\Infrastructure\BotSharp.Abstraction\BotSharp.Abstraction.csproj" />
+    <ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
   </ItemGroup>
 
 </Project>

src/Plugins/BotSharp.Plugin.PythonInterpreter/Functions/PyInterpretationFn.cs

@@ -1,8 +1,7 @@
-using BotSharp.Abstraction.Conversations.Models;
-using BotSharp.Abstraction.Functions;
-using BotSharp.Abstraction.Interpreters.Models;
+using BotSharp.Abstraction.Routing;
 using Microsoft.Extensions.Logging;
 using Python.Runtime;
+using System.Runtime;
 using System.Text.Json;
 using System.Threading.Tasks;
 
@@ -26,7 +25,40 @@ public class PyInterpretationFn : IFunctionCallback
 
     public async Task<bool> Execute(RoleDialogModel message)
     {
-        var args = JsonSerializer.Deserialize<InterpretationRequest>(message.FunctionArgs);
+        var agentService = _services.GetRequiredService<IAgentService>();
+        var convService = _services.GetRequiredService<IConversationService>();
+        var routingCtx = _services.GetRequiredService<IRoutingContext>();
+
+        var args = JsonSerializer.Deserialize<LlmContextIn>(message.FunctionArgs);
+
+        var agent = await agentService.GetAgent(message.CurrentAgentId);
+        var inst = GetPyCodeGenerationInstruction(message.CurrentAgentId);
+        var innerAgent = new Agent
+        {
+            Id = agent.Id,
+            Name = agent.Name,
+            Instruction = inst,
+            LlmConfig = GetLlmConfig(),
+            TemplateDict = new Dictionary<string, object>
+            {
+                { "user_requirement", args?.UserRquirement ?? string.Empty }
+            }
+        };
+
+        var dialogs = routingCtx.GetDialogs();
+        if (dialogs.IsNullOrEmpty())
+        {
+            dialogs = convService.GetDialogHistory();
+        }
+
+        dialogs.Add(new RoleDialogModel(AgentRole.User, "Please follow the instruction and chat context to generate valid python code.")
+        {
+            CurrentAgentId = message.CurrentAgentId,
+            MessageId = message.MessageId
+        });
+
+        var response = await GetChatCompletion(innerAgent, dialogs);
+        var ret = response.JsonContent<LlmContextOut>();
 
         using (Py.GIL())
         {
@@ -40,7 +72,7 @@ public class PyInterpretationFn : IFunctionCallback
 
             // Execute a simple Python script
             using var locals = new PyDict();
-            PythonEngine.Exec(args.Script, null, locals);
+            PythonEngine.Exec(ret.PythonCode, null, locals);
 
             // Console.WriteLine($"Result from Python: {result}");
             message.Content = stringIO.getvalue();
@@ -51,4 +83,74 @@ public class PyInterpretationFn : IFunctionCallback
 
         return true;
     }
+
+    private async Task<string> GetChatCompletion(Agent agent, List<RoleDialogModel> dialogs)
+    {
+        try
+        {
+            var (provider, model) = GetLlmProviderModel();
+            var completion = CompletionProvider.GetChatCompletion(_services, provider: provider, model: model);
+            var response = await completion.GetChatCompletions(agent, dialogs);
+            return response.Content;
+        }
+        catch (Exception ex)
+        {
+            var error = $"Error when plotting chart. {ex.Message}";
+            _logger.LogWarning(ex, error);
+            return error;
+        }
+    }
+
+    private string GetPyCodeGenerationInstruction(string agentId)
+    {
+        var db = _services.GetRequiredService<IBotSharpRepository>();
+        var state = _services.GetRequiredService<IConversationStateService>();
+
+        var templateContent = string.Empty;
+        var templateName = state.GetState("python_generate_template");
+
+        if (!string.IsNullOrEmpty(templateName))
+        {
+            templateContent = db.GetAgentTemplate(agentId, templateName);
+        }
+        else
+        {
+            templateName = "util-code-python_generate_instruction";
+            templateContent = db.GetAgentTemplate(BuiltInAgentId.UtilityAssistant, templateName);
+        }
+
+        return templateContent;
+    }
+
+    private (string, string) GetLlmProviderModel()
+    {
+        var provider = "openai";
+        var model = "gpt-5";
+
+        var state = _services.GetRequiredService<IConversationStateService>();
+        provider = state.GetState("py_generator_llm_provider")
+                        //.IfNullOrEmptyAs(_settings.ChartPlot?.LlmProvider)
+                        .IfNullOrEmptyAs(provider);
+        model = state.GetState("py_generator_llm_model")
+                     //.IfNullOrEmptyAs(_settings.ChartPlot?.LlmModel)
+                     .IfNullOrEmptyAs(model);
+
+        return (provider, model);
+    }
+
+    private AgentLlmConfig GetLlmConfig()
+    {
+        var maxOutputTokens = 8192;
+        var reasoningEffortLevel = "minimal";
+
+        var state = _services.GetRequiredService<IConversationStateService>();
+        maxOutputTokens = int.TryParse(state.GetState("py_generator_max_output_tokens"), out var tokens) ? tokens : maxOutputTokens;
+        reasoningEffortLevel = state.GetState("py_generator_reasoning_effort_level").IfNullOrEmptyAs(reasoningEffortLevel);
+
+        return new AgentLlmConfig
+        {
+            MaxOutputTokens = maxOutputTokens,
+            ReasoningEffortLevel = reasoningEffortLevel
+        };
+    }
 }

src/Plugins/BotSharp.Plugin.PythonInterpreter/InterpreterPlugin.cs

@@ -1,4 +1,5 @@
 using BotSharp.Abstraction.Interpreters.Settings;
+using BotSharp.Abstraction.Settings;
 using BotSharp.Plugin.PythonInterpreter.Hooks;
 using Microsoft.AspNetCore.Builder;
 using Python.Runtime;
@@ -15,6 +16,12 @@ public class InterpreterPlugin : IBotSharpAppPlugin
 
     public void RegisterDI(IServiceCollection services, IConfiguration config)
     {
+        services.AddSingleton(provider =>
+        {
+            var settingService = provider.GetRequiredService<ISettingService>();
+            return settingService.Bind<InterpreterSettings>("Interpreter");
+        });
+
         services.AddScoped<IAgentUtilityHook, InterpreterUtilityHook>();
     }
 

src/Plugins/BotSharp.Plugin.PythonInterpreter/LlmContext/LlmContextIn.cs

@@ -0,0 +1,9 @@
+using System.Text.Json.Serialization;
+
+namespace BotSharp.Plugin.PythonInterpreter.LlmContext;
+
+public class LlmContextIn
+{
+    [JsonPropertyName("user_requirement")]
+    public string UserRquirement { get; set; }
+}

src/Plugins/BotSharp.Plugin.PythonInterpreter/LlmContext/LlmContextOut.cs

@@ -0,0 +1,9 @@
+using System.Text.Json.Serialization;
+
+namespace BotSharp.Plugin.PythonInterpreter.LlmContext;
+
+public class LlmContextOut
+{
+    [JsonPropertyName("python_code")]
+    public string PythonCode { get; set; }
+}

src/Plugins/BotSharp.Plugin.PythonInterpreter/Using.cs

@@ -14,5 +14,12 @@ global using BotSharp.Abstraction.Agents.Settings;
 global using BotSharp.Abstraction.Conversations;
 global using BotSharp.Abstraction.Functions.Models;
 global using BotSharp.Abstraction.Repositories;
+global using BotSharp.Abstraction.Conversations.Models;
+global using BotSharp.Abstraction.Functions;
+global using BotSharp.Abstraction.Interpreters.Models;
+
+
+global using BotSharp.Core.Infrastructures;
 
 global using BotSharp.Plugin.PythonInterpreter.Enums;
+global using BotSharp.Plugin.PythonInterpreter.LlmContext;

src/Plugins/BotSharp.Plugin.PythonInterpreter/data/agents/6745151e-6d46-4a02-8de4-1c4f21c7da95/functions/util-code-python_interpreter.json

@@ -1,19 +1,14 @@
 {
-  "name": "python_interpreter",
-  "description": "write and execute python code, print the result in Console",
+  "name": "util-code-python_interpreter",
+  "description": "If the user requests you generating python code to complete tasks, you can call this function to generate python code to execute.",
   "parameters": {
     "type": "object",
     "properties": {
-      "script": {
+      "user_requirement": {
         "type": "string",
-        "description": "python code"
-      },
-      "language": {
-        "type": "string",
-        "enum": [ "python" ],
-        "description": "python code"
+        "description": "The requirement that user posted for generating python code."
       }
     },
-    "required": [ "language", "script" ]
+    "required": [ "user_requirement" ]
   }
 }

src/Plugins/BotSharp.Plugin.PythonInterpreter/data/agents/6745151e-6d46-4a02-8de4-1c4f21c7da95/templates/util-code-python_interpreter.fn.liquid

@@ -1 +1 @@
-Write and execute Python script in python_interpreter function, and use python function print(a) to output the result in stand output.
+Please call function util-code-python_interpreter if user wants to generate python code to complete tasks.