Multiple calls to create_chat_completion() fail with "llama_decode: failed to decode, ret = -1"

# Prerequisites Please answer the following questions for yourself before submitting an issue. - [x] I am running the latest code. Development is very rapid so there are no tagged versions as of now. - [x] I carefully followed the [README.md](https://github.com/abetlen/llama-cpp-python/blob/main/README.md). - [x] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed). - [x] I reviewed the [Discussions](https://github.com/abetlen/llama-cpp-python/discussions), and have a new bug or useful enhancement to share. # Expected Behavior I am running LiquidAI's LFM2.5-1.2B-Instruct model. Calling `create_chat_completion()` multiple times should not throw error. # Current Behavior When trying to call `create_chat_completion` twice in a row, the model throws error "llama_decode: failed to decode, ret = -1" # Environment and Context I am using llama-cpp-python v0.3.16. Python version is 3.13.9. * Windows 11 # Failure Information (for bugs) On tracing back the issue, it looks like there needs to be a context and cache reset after each chat_completion call, which isn't happening yet. # Steps to Reproduce ```python from pathlib import Path from llama_cpp import Llama llm = Llama( model_path=str(Path.home() / "AppData/Local/llama.cpp/LiquidAI_LFM2.5-1.2B-Instruct-GGUF_LFM2.5-1.2B-Instruct-Q4_K_M.gguf"), n_ctx=1000 ) system_prompt = """ \nYou are a helpful assistant """ prompt = """ suggest me places to visit during winter season """ response = llm.create_chat_completion( messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": prompt}], ) print(response) # llm.reset() # Using this works # llm._ctx.kv_cache_clear() # Using this works response = llm.create_chat_completion( messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": prompt}], ) print(response) ``` # Failure Logs ``` init: the tokens of sequence 0 in the input batch have inconsistent sequence positions: - the last position stored in the memory module of the context (i.e. the KV cache) for sequence 0 is X = 519 - the tokens for sequence 0 in the input batch have a starting position of Y = 29 it is required that the sequence positions remain consecutive: Y = X + 1 decode: failed to initialize batch llama_decode: failed to decode, ret = -1 ```