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48fdbf7188
The chat completion ids generated by Ollama are not unique enough to use with stored chat completions as they rely on only 3 numbers of randomness to give unique values - ie `chatcmpl-373`. This causes frequent collisions in id values of chat completions in Ollama, which creates issues in our SQL storage of chat completions by id where it expects ids to actually be unique. So, this adjusts Ollama responses to use uuids as unique ids. This does mean we're replacing the ids generated natively by Ollama. If we don't wish to do this, we'll either need to relax the unique constraint on our chat completions id field in the inference storage or convince Ollama upstream to use something closer to uuid values here. Closes #2315 I tested by running the openai completion / chat completion integration tests in a loop. Without this change, I regularly get unique id collisions. With this change, I do not. ``` INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" \ llama stack run llama_stack/templates/ollama/run.yaml while true; do; \ INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" \ pytest -s -v \ tests/integration/inference/test_openai_completion.py \ --stack-config=http://localhost:8321 \ --text-model="meta-llama/Llama-3.2-3B-Instruct"; \ done ``` Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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| anthropic | ||
| bedrock | ||
| cerebras | ||
| cerebras_openai_compat | ||
| databricks | ||
| fireworks | ||
| fireworks_openai_compat | ||
| gemini | ||
| groq | ||
| groq_openai_compat | ||
| llama_openai_compat | ||
| nvidia | ||
| ollama | ||
| openai | ||
| passthrough | ||
| runpod | ||
| sambanova | ||
| sambanova_openai_compat | ||
| tgi | ||
| together | ||
| together_openai_compat | ||
| vllm | ||
| watsonx | ||
| __init__.py | ||