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Liss, Alex (NYC-HUG)
commited on
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3ab0381
1
Parent(s):
79a1c17
brought fan memory into applicaiton! now just need to use it :smile:
Browse files
docs/Phase 1/Task 1.3 Memory & Persona Implementation.md
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@@ -83,6 +83,29 @@ The user will execute **one step at a time** and confirm each works before proce
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3. **Hard‑code** one session‑ID first to verify import works inside the agent.
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4. Run the app. Ensure chat history loads without breaking existing features.
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---
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### 4 │ Add Radio Button (Skeleton Only)
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| 5 | Missing env variables | At startup, assert `ZEP_API_KEY` is set; show clear error if not. |
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| 6 | Session ID mismatch | Verify that session IDs in code match those actually created in Zep Cloud. |
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| 7 | Message history creation | Ensure messages follow proper format for Zep; implement fallbacks if message history retrieval fails. |
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---
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3. **Hard‑code** one session‑ID first to verify import works inside the agent.
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4. Run the app. Ensure chat history loads without breaking existing features.
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+
**Status Update:**
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✅ Successfully imported Zep libraries and dependencies in `gradio_agent.py`.
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✅ Updated the `get_memory` function to use `ZepCloudChatMessageHistory` with a hardcoded session ID.
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❌ Encountered an error with `MemoryClient.get()` related to an unexpected `memory_type` parameter.
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✅ Created a workaround approach that:
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- Removes the problematic `memory_type` parameter
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- Uses a new `initialize_memory_from_zep` function to directly load chat history from Zep
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- Uses the Zep client directly to retrieve message history using the hardcoded session ID
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- Converts Zep messages to LangChain format
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- Initializes a `ConversationBufferMemory` with this history
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- Provides this memory to the agent executor for each session
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✅ Fixed import compatibility issues between different versions of LangChain
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✅ Successfully retrieving conversation history from Zep! Terminal output confirms:
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- "Loading 6 messages from Zep for Casual Fan persona"
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- "Successfully loaded message history from Zep"
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✅ Agent now has access to the pre-existing context in Zep, and the application works without errors
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**TODO:**
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- Implement persona-specific behavior based on user context
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- Currently we're loading conversation history successfully, but the agent's responses aren't explicitly personalized based on the casual/super fan persona context
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- We should update agent system prompts to explicitly use facts from Zep memory when responding to questions
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- This will be addressed after the initial implementation is complete
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---
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### 4 │ Add Radio Button (Skeleton Only)
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| 5 | Missing env variables | At startup, assert `ZEP_API_KEY` is set; show clear error if not. |
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| 6 | Session ID mismatch | Verify that session IDs in code match those actually created in Zep Cloud. |
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| 7 | Message history creation | Ensure messages follow proper format for Zep; implement fallbacks if message history retrieval fails. |
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| 8 | Library compatibility issues | Use direct API calls to workaround parameter inconsistencies; maintain fallbacks for memory initialization to avoid breaking the application when parameters change. |
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---
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gradio_agent.py
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@@ -131,13 +131,13 @@ Do NOT use for any 49ers-specific questions.""",
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)
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]
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-
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# Create the memory manager
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def get_memory(session_id):
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"""Get the chat history from Zep for the given session"""
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return ZepCloudChatMessageHistory(
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session_id=
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api_key=os.environ.get("ZEP_API_KEY")
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# No memory_type parameter
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)
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try:
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# Get history from Zep
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zep = Zep(api_key=os.environ.get("ZEP_API_KEY"))
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memory
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# Create a conversation memory with the history
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conversation_memory = ConversationBufferMemory(
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)
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if memory and memory.messages:
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print(f"Loading {len(memory.messages)} messages from Zep for
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# Add messages to the conversation memory
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for msg in memory.messages:
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)
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]
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memory_session_id = "241b3478c7634492abee9f178b5341cb"
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# Create the memory manager
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def get_memory(session_id):
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"""Get the chat history from Zep for the given session"""
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return ZepCloudChatMessageHistory(
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session_id=memory_session_id,
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api_key=os.environ.get("ZEP_API_KEY")
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# No memory_type parameter
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)
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try:
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# Get history from Zep
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zep = Zep(api_key=os.environ.get("ZEP_API_KEY"))
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print(f"Attempting to get memory for hardcoded session ID: {memory_session_id}")
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memory = zep.memory.get(session_id=memory_session_id)
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# Create a conversation memory with the history
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conversation_memory = ConversationBufferMemory(
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)
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if memory and memory.messages:
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print(f"Loading {len(memory.messages)} messages from Zep for Casual Fan persona")
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# Add messages to the conversation memory
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for msg in memory.messages:
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