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Giles Odigwe
6f6ee61834
* Python: Fix broken samples and add missing READMEs - simple_context_provider: move instructions kwarg into options dict - suspend_resume_session: use OpenAIChatCompletionClient for in-memory demo - foundry_chat_client_with_hosted_mcp: move store kwarg into options dict - Add README.md for context_providers and conversations sample folders Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix additional sample issues in context_providers - mem0_basic: send preferences query before sleep so Mem0 can learn them, print result from new session recall - mem0_sessions: add session for multi-turn conversation in agent-scoped example, remove user_id from agent-scoped provider (Mem0 API stores memories without user_id when agent_id is provided), use single message for storing preferences - redis_basics: print retrieved context messages instead of raw object - redis_sessions: add missing load_dotenv() call - redis_basics/redis_sessions: fix docstrings referencing wrong client type - azure_redis_conversation: replace duplicate copyright with load_dotenv() Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix broken link in declarative README openai_responses_agent.py was renamed to openai_agent.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
29 lines
1.5 KiB
Markdown
29 lines
1.5 KiB
Markdown
# Conversation & Session Management Samples
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These samples demonstrate different approaches to managing conversation history and session state in Agent Framework.
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## Samples
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| File | Description |
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| [`suspend_resume_session.py`](suspend_resume_session.py) | Suspend and resume conversation sessions, comparing service-managed sessions (Azure AI Foundry) with in-memory sessions (OpenAI). |
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| [`custom_history_provider.py`](custom_history_provider.py) | Implement a custom history provider by extending `BaseHistoryProvider`, enabling conversation persistence in your preferred storage backend. |
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| [`redis_history_provider.py`](redis_history_provider.py) | Use Redis as a history provider for persistent conversation history storage across sessions. |
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## Prerequisites
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**For `suspend_resume_session.py`:**
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- `FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint (service-managed session)
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- `FOUNDRY_MODEL`: The Foundry model deployment name
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- `OPENAI_API_KEY`: Your OpenAI API key (in-memory session)
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- Azure CLI authentication (`az login`)
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**For `custom_history_provider.py`:**
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- `OPENAI_API_KEY`: Your OpenAI API key
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**For `redis_history_provider.py`:**
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- `OPENAI_API_KEY`: Your OpenAI API key
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- A running Redis server — default URL is `redis://localhost:6379`
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- Override via the `REDIS_URL` environment variable for remote or authenticated instances
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- Quickstart with Docker: `docker run -d --name redis-stack -p 6379:6379 redis/redis-stack-server:latest`
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