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For code completion apps need "fill in the middle" capabilities. Added option of `suffix` to `openai_completion` to enable this. Updated ollama provider to showcase the same. ### Test Plan ``` pytest -sv --stack-config="inference=ollama" tests/integration/inference/test_openai_completion.py --text-model qwen2.5-coder:1.5b -k test_openai_completion_non_streaming_suffix ``` ### OpenAI Sample script ``` from openai import OpenAI client = OpenAI(base_url="http://localhost:8321/v1/openai/v1") response = client.completions.create( model="qwen2.5-coder:1.5b", prompt="The capital of ", suffix="is Paris.", max_tokens=10, ) print(response.choices[0].text) ``` ### Output ``` France is ____. To answer this question, we ```
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1.8 KiB
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67 lines
1.8 KiB
JSON
{
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"sanity": {
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"data": {
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"content": "Complete the sentence using one word: Roses are red, violets are "
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}
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},
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"suffix": {
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"data": {
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"content": "The capital of ",
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"suffix": "is Paris."
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}
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},
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"non_streaming": {
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"data": {
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"content": "Micheael Jordan is born in ",
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"expected": "1963"
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}
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},
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"stop_sequence": {
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"data": {
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"content": "Return the exact same sentence and don't add additional words): Michael Jordan was born in the year of 1963"
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}
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},
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"streaming": {
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"data": {
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"content": "Roses are red,"
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}
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},
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"log_probs": {
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"data": {
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"content": "Complete the sentence: Micheael Jordan is born in "
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}
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},
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"logprobs_non_streaming": {
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"data": {
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"content": "Micheael Jordan is born in "
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}
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},
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"logprobs_streaming": {
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"data": {
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"content": "Roses are red,"
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}
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},
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"structured_output": {
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"data": {
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"user_input": "Michael Jordan was born in 1963. He played basketball for the Chicago Bulls. He retired in 2003.",
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"expected": {
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"name": "Michael Jordan",
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"year_born": "1963",
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"year_retired": "2003"
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}
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}
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},
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"batch_completion": {
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"data": {
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"contents": [
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"Micheael Jordan is born in ",
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"Roses are red, violets are ",
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"If you had a million dollars, what would you do with it? ",
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"All you need is ",
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"The capital of France is ",
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"It is a good day to ",
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"The answer to the universe is "
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]
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}
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}
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}
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