Optimize the selection NextSpeaker mechanism of RolePlayOrchestrator … #6688
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…to improve the accuracy of name hits Improvement content: 1. Enforce the use of the JSON standard return format. 2. Introduce a one-time retry mechanism to reduce the error rate (currently, all tests pass 100%).
…to improve the accuracy of name hits Improvement content: 1. Enforce the use of the JSON standard return format. 2. Introduce a one-time retry mechanism to reduce the error rate (currently, all tests pass 100%).
…to improve the accuracy of name hits
| var name = response.GetContent() ?? throw new ArgumentException("No name is returned."); | ||
| var responseMessageStr = response.GetContent() ?? throw new ArgumentException("No name is returned."); | ||
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| RolePlayOrchestratorResponse? responseMessage; |
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nit:
var responseMessage = JsonSerializer.Deserialize<RolePlayOrchestratorResponse>(responseMessageStr) ?? throw new InvalidOperationException("Incorrect RolePlayOrchestratorResponse JSON format.");
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| var reaginCandidate = candidates.FirstOrDefault(x => x.Name!.ToUpper() == regainResponseMessage.Speaker!.ToUpper()); | ||
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| if (reaginCandidate != null) |
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reaginCandidate -> regainCadidate
| namespace AutoGen.Core.Orchestrator; | ||
| internal class RolePlayOrchestratorResponse | ||
| { | ||
| internal string? Speaker { get; set; } |
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The access modifier of property doesn't have to be also internal here?
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public is also fine.
| Each message will start with 'From name:', e.g: | ||
| From {agentNames.First()}: | ||
| //your message//."); | ||
| ## Available Speaker Names |
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Maybe adding a class-level summary on top?
/// <summary>
/// This orchestrator uses a robust two-step strategy to select the next speaker in a roleplay conversation:
/// 1. It first prompts the LLM to select the next speaker from the list of valid candidate names, requiring output in a strict JSON format.
/// 2. If the LLM's chosen name does not exactly match any candidate (e.g., due to hallucination, abbreviation, or formatting issues),
/// the orchestrator issues a second prompt to the LLM, instructing it to map the provided name to the closest valid candidate name from the original list.
/// This approach ensures that the selected speaker always corresponds to an authorized candidate and guards against LLM output errors.
/// </summary>
LittleLittleCloud
requested changes
Jun 17, 2025
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #6688 +/- ##
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Coverage 79.71% 79.71%
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Files 232 232
Lines 17323 17323
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Hits 13809 13809
Misses 3514 3514
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…to improve the accuracy of name hits
Improvement content:
Checks