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Chris Rickman
2026-03-02 22:00:21 -08:00
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parent 42d424587d
commit d6c4dbea96
30 changed files with 740 additions and 525 deletions
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dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Program.cs
+34 -20
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@@ -13,6 +13,7 @@ using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Compaction;
using Microsoft.Extensions.AI;
using static Microsoft.Agents.AI.Compaction.ChatHistoryCompactionPipeline;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
@@ -39,33 +40,45 @@ static string LookupPrice([Description("The product name to look up.")] string p
};
// Configure the compaction pipeline with one of each strategy, ordered least to most aggressive.
const int MaxTokens = 512;
const int MaxTurns = 4;
//const int MaxTokens = 512;
//const int MaxTurns = 4;
ChatHistoryCompactionPipeline compactionPipeline =
new(// 1. Gentle: collapse old tool-call groups into short summaries like "[Tool calls: LookupPrice]"
new ToolResultCompactionStrategy(MaxTokens, preserveRecentGroups: 2),
//new(// 1. Gentle: collapse old tool-call groups into short summaries like "[Tool calls: LookupPrice]"
// new ToolResultCompactionStrategy(MaxTokens, preserveRecentGroups: 2),
// 2. Moderate: use an LLM to summarize older conversation spans into a concise message
new SummarizationCompactionStrategy(summarizerChatClient, MaxTokens, preserveRecentGroups: 2),
// // 2. Moderate: use an LLM to summarize older conversation spans into a concise message
// new SummarizationCompactionStrategy(summarizerChatClient, MaxTokens, preserveRecentGroups: 2),
// 3. Aggressive: keep only the last N user turns and their responses
new SlidingWindowCompactionStrategy(MaxTurns),
// // 3. Aggressive: keep only the last N user turns and their responses
// new SlidingWindowCompactionStrategy(MaxTurns),
// 4. Emergency: drop oldest groups until under the token budget
new TruncationCompactionStrategy(MaxTokens, preserveRecentGroups: 1));
// // 4. Emergency: drop oldest groups until under the token budget
// new TruncationCompactionStrategy(MaxTokens, preserveRecentGroups: 1));
Create(
Approach.Balanced,
Size.Compact,
summarizerChatClient);
// Create the agent with an in-memory chat history provider whose reducer is the compaction pipeline.
AIAgent agent = agentChatClient.AsAIAgent(new ChatClientAgentOptions
{
Name = "ShoppingAssistant",
ChatOptions = new()
{
Instructions = "You are a helpful shopping assistant. Help the user look up prices and compare products.",
Tools = [AIFunctionFactory.Create(LookupPrice)],
},
ChatHistoryProvider = new InMemoryChatHistoryProvider(new() { ChatReducer = compactionPipeline }),
});
AIAgent agent =
agentChatClient.AsAIAgent(
new ChatClientAgentOptions
{
Name = "ShoppingAssistant",
ChatOptions = new()
{
Instructions =
"""
You are a helpful, but long winded, shopping assistant.
Help the user look up prices and compare products.
When responding, Be sure to be extra descriptive and use as
many words as possible without sounding ridiculous.
""",
Tools = [AIFunctionFactory.Create(LookupPrice)],
},
ChatHistoryProvider = new InMemoryChatHistoryProvider(new() { ChatReducer = compactionPipeline }),
});
AgentSession session = await agent.CreateSessionAsync();
@@ -87,6 +100,7 @@ string[] prompts =
"Which product is the cheapest?",
"Can you compare the laptop and the keyboard for me?",
"What was the first product I asked about?",
"Thank you!",
];
foreach (string prompt in prompts)