README
¶
Memory
Ports of the .NET memory samples. Step numbers follow upstream.
| Example | Demonstrates |
|---|---|
| Step 01: Chat history memory | Remembering a user's preferences across two independent sessions |
| Step 05: Bounded chat history | Keeping four recent messages and recalling older messages from vector-store overflow |
Both use memory.HistoryProvider and an in-memory vector store. Memories survive
new sessions, but not process restarts. The fixed UID1 scope is for demonstration;
applications should use the authenticated user's identifier.
Run
Sign in with a credential supported by DefaultAzureCredential, such as
az login, and configure deployed Foundry models:
$env:FOUNDRY_PROJECT_ENDPOINT = "https://<resource>.services.ai.azure.com/api/projects/<project>"
$env:FOUNDRY_MODEL = "gpt-5.4-mini"
$env:FOUNDRY_EMBEDDING_MODEL = "text-embedding-3-large"
go run .\examples\02-agents\memory\step01_chat_history_memory
go run .\examples\02-agents\memory\step05_bounded_chat_history
These samples use 3072-dimensional embeddings, matching the shared demo
default, text-embedding-3-large. If your embedding deployment produces a
different vector size, update the dimension argument to memory.NewHistoryProvider
in the sample. Runs invoke live services and may incur charges.
Step 05 preserves the first system message outside the four-message window. Function-call and function-result messages are excluded from both retained history and archived memory. Retrieved memories are prepended to recent history and are not stored again.
Local validation
go build .\examples\02-agents\memory\...
go vet .\examples\02-agents\memory\...
Directories
¶
| Path | Synopsis |
|---|---|
|
This sample recalls chat messages from earlier sessions for the same user.
|
This sample recalls chat messages from earlier sessions for the same user. |
|
This sample archives older chat messages and recalls them from a vector store.
|
This sample archives older chat messages and recalls them from a vector store. |