What the bot does (in short):
- Listens to chat messages via webhook.
- Analyzes and categorizes user input.
- Uses Pinecone to fetch relevant content.
- Responds via OpenAI or triggers fallback/escalation if nothing is found.
The Issue - Pattern Observed
After 6–8 successful responses , the agent stops calling the Pinecone tool entirely. The bot:
- returns a generic fallback (Fallback Misuse),
- does not invoke the Pinecone tool at all, despite the system prompt requiring it,
- and generates a response without querying Pinecone, which violates our system prompt constraints.
Temporary fix:
Reloading the frontend — which creates a new sessionId — immediately resolves the issue.
Hypotheses
- Context accumulation interferes with proper tool execution.
- Execution desync: agent moves forward before Pinecone returns.
- Workflow state or memory buffer is degraded mid-session.
- Possibly a LangChain or n8n execution engine limitation.
Feels like an n8n issue if it’s solved by interface reload.
What I’m Looking For
- Confirmation: Is this a known issue or limitation in n8n.cloud when using LangChain Agents?
- Workaround: Is there a way to force tool calls or reset the agent state after N messages?
- Best practices: How can we prevent tool skipping behavior in longer sessions?
- Diagnostics: Any way to monitor or enforce whether tools are called in each agent execution?
I’d appreciate any insights, fixes, or suggestions for debugging this.
## Information on your n8n setup
- **n8n version:** 1.94.0,
- **Running n8n via:** cloud