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This commit is contained in:
Jicheng Lu 2025-09-29 01:20:25 -05:00
parent 0aa633787a
commit e529b36fab
8 changed files with 146 additions and 17 deletions
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2
src/Plugins/BotSharp.Plugin.PythonInterpreter/BotSharp.Plugin.PythonInterpreter.csproj
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@ -33,7 +33,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Abstraction\BotSharp.Abstraction.csproj" />
<ProjectReference Include="..\..\Infrastructure\BotSharp.Core\BotSharp.Core.csproj" />
</ItemGroup>
</Project>

112
src/Plugins/BotSharp.Plugin.PythonInterpreter/Functions/PyInterpretationFn.cs
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@ -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
};
}
}

7
src/Plugins/BotSharp.Plugin.PythonInterpreter/InterpreterPlugin.cs
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@ -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>();
}

9
src/Plugins/BotSharp.Plugin.PythonInterpreter/LlmContext/LlmContextIn.cs Normal file
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@ -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; }
}

9
src/Plugins/BotSharp.Plugin.PythonInterpreter/LlmContext/LlmContextOut.cs Normal file
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@ -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; }
}

7
src/Plugins/BotSharp.Plugin.PythonInterpreter/Using.cs
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@ -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;

15
src/Plugins/BotSharp.Plugin.PythonInterpreter/data/agents/6745151e-6d46-4a02-8de4-1c4f21c7da95/functions/util-code-python_interpreter.json
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@ -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" ]
}
}

2
src/Plugins/BotSharp.Plugin.PythonInterpreter/data/agents/6745151e-6d46-4a02-8de4-1c4f21c7da95/templates/util-code-python_interpreter.fn.liquid
View file

@ -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.