it sounds like there might be a memory leak or something causing the server to slow over time...I wonder if you could check the memory/CPU usage on the container in initial state vs slow state?

if you wait ~1m before restarting you should get all your conversations back

Yh i am still checking to find the root cause and this is what hermes had to say when i told it to debug agent-canvas and find out why the conversations were not responding. Hermes ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ Here's the root cause. I found it in the logs. == ROOT CAUSE == The conversation (80ab030e-e05e-464c-be88-50c22e4c3720) has hit a context window overflow and is stuck in a failure loop. The agent (qwen3.6 model via OpenAI-compatible API) only supports a 131,072 token context window. The conversation has accumulated 181,720 tokens — that's ~50K tokens over the limit. Every time the agent tries to take a step, it hits: openai.BadRequestError: Error code: 400 "request (181720 tokens) exceeds the available context size (131072 tokens)" The agent retries, the conversation runs again, same error. That's why you see "Received bash request" every 5 seconds forever — the frontend is polling, the agent is trying to execute, it fails, and the cycle repeats with no error surface reaching the UI. == WHAT I FOUND IN THE LOGS == Three separate errors, all pointing to the same root cause: 1. Conversation 80ab030e (your current one) — 181,720 tokens > 131,072 limit - First hit: 2026-07-08 102714 - Kept retrying, same error, every attempt fails 2. Conversation 29277710 — 183,981/183,983 tokens > 131,072 limit - Hit at 2026-07-08 102913 and 161906 - Same problem, same model limit 3. Conversation 14f3c5040e — missing agent.critic.api_key config - Validation error, can't even start The "Received bash request" every 5 seconds is just the frontend polling loop. The agent never completes a step — it fails before it even gets to output anything. == THE FIX == You need to either: A) Start a new conversation (this one is beyond recovery — the context is too large to trim from inside the running agent) OR B) If you want to keep that conversation: - Switch to a model with a larger context window (e.g., Claude 200K, Gemini 1M, or qwen3 with 131K won't help — you need one with >182K) - Or truncate/reset the conversation state manually in the conversation directory The model being used is qwen3.6 via an OpenAI-compatible endpoint, capped at 131K tokens. You're over by ~50K. Want me to help you pick a model with a larger context window, or do you want to just start fresh? ---------------------------------------------- The problem with this answer is that it does not correlate with the configuration I sent to you earlier. Found out just now that it was a Litellm context window mapping bug that intercepted the process. Still digging and hopefully this can help.

I found out that the litellm model registry never had the context window correct, which meant it defaulted back to the default setting og 131K, so now I have to ensure that litellm knows the right context size for my model as 256K so it can override the default. Please let me know if I am taking the long way around; it is my first time going this in-depth with development.