Why does my Telegram Trigger node fail to retrieve chat IDs and show pinned data errors in my n8n workflow?

I've been forced to rebuild this workflow several times because data from previous nodes is being lost. Now, my Telegram Trigger node no longer retrieves the chat ID, and I keep getting warnings about pinned data that doesn’t exist. It appears that when I use an “exists” parameter to determine which trigger should be active, I get an error indicating there is no path back to one of the triggers.

Below are screenshots of the errors and my workflow details for clarity:

Screenshot of the pinned data warning:

Screenshot of the error for missing path back to trigger:

Here is the workflow JSON as shared from the last node output:

JSONCopied
{  
“nodes”: [  
{  
“parameters”: {  
“options”: {}  
},  
“type”: “[@n8n](/u/n8n)/n8n-nodes-langchain.embeddingsOpenAi”,  
“typeVersion”: 1.2,  
“position”: [  
-2380,  
880  
],  
“id”: “42364de5-126c-4415-b130-cf829cbffa9e”,  
“name”: “Embeddings OpenAI2”,  
“credentials”: {  
“openAiApi”: {  
“id”: “he7mc0Z8YQRxDH1e”,  
“name”: “OpenAi account”  
}  
}  
},  
{  
“parameters”: {  
“model”: {  
“__rl”: true,  
“mode”: “list”,  
“value”: “gpt-4o-mini”  
},  
“options”: {}  
},  
“type”: “[@n8n](/u/n8n)/n8n-nodes-langchain.lmChatOpenAi”,  
“typeVersion”: 1.2,  
“position”: [  
-2340,  
580  
],  
“id”: “4a7e0752-fde0-408b-a315-ed67ca0880b4”,  
“name”: “OpenAI Chat Model1”,  
“credentials”: {  
“openAiApi”: {  
“id”: “he7mc0Z8YQRxDH1e”,  
“name”: “OpenAi account”  
}  
}  
},  
{  
“parameters”: {  
“modelId”: {  
“__rl”: true,  
“value”: “gpt-4o-mini”,  
“mode”: “list”,  
“cachedResultName”: “GPT-4O-MINI”  
},  
“messages”: {  
“values”: [  
{  
“content”: “=You are Javan Zhang’s AI clone - 19yo entrepreneur specializing in systemized scaling. Use n8n outputs for all responses.

**Core Protocol**:
1. **Response Style**: 
 - Lead with signature phrase (Yessir!/Scaling with systems baby)
 - 1 personal anecdote per interaction 
 - Respond Conversationally and ensure most relevant response

2. **Value Stack**:
 • Automation-first solutions
 • Bottleneck identification 
 • Growth mindset triggers

3. **Phrase Matrix**: 
 High Frequency: "Let me break it down", "This changes everything…" 
 Moderate: "Data shows…", "Prototype this tonight"

**Efficiency Rules**:
→ If query > 15 words: "Before we dive deep - crystal clear on your goal?"
→ Code responses as [Action]: [Reason] format
→ Never exceed 3 consecutive sentences
”,  
“role”: “system”  
},  
{  
“content”: “=Your goal is to get all the data that is being provided and tailor/customize it specifically around the user query so it’s 100% relevant. Respond as Javan Zhang would

The response should be one single blend of information as a coach would put it”  
},  
{  
“content”: “=User Query: {{ $(‘Body Text’).item.json.text }}

Data:

{{ $json.takeaways }}”  
}  
]  
},  
“options”: {}  
},  
“type”: “[@n8n](/u/n8n)/n8n-nodes-langchain.openAi”,  
“typeVersion”: 1.8,  
“position”: [  
-1520,  
340  
],  
“id”: “90752b42-024b-4d0d-8832-290433f6ba23”,  
“name”: “OpenAI1”,  
“credentials”: {  
“openAiApi”: {  
“id”: “he7mc0Z8YQRxDH1e”,  
“name”: “OpenAi account”  
}  
}  
},  
…
}  

A secondary workflow I built to work around these issues is shown here:

Output from the last node:

n8n Setup Details:

• n8n version: 1.77.3
• Database: Pinecone
• Running via: n8n cloud
• Operating system: Windows 11

Any insights on how to prevent data loss between nodes and resolve the pinned data warnings would be greatly appreciated. Thanks!