forked from phoenix/litellm-mirror
fix(utils.py): add more logging to identify ci/cd issue
This commit is contained in:
parent
039ea5497f
commit
850b056df5
2 changed files with 200 additions and 199 deletions
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@ -2516,210 +2516,209 @@ def test_unit_test_custom_stream_wrapper():
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assert freq == 1
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chunks = [
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "It"},
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"logprobs": {
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"content": [
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{
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"token": "It",
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"logprob": -1.5952516,
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"bytes": [73, 116],
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"top_logprobs": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 1,
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"delta": {"content": "Brown"},
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"logprobs": {
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"content": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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"top_logprobs": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "'s"},
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"logprobs": {
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"content": [
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{
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"token": "'s",
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"logprob": -0.006786893,
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"bytes": [39, 115],
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"top_logprobs": [
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{
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"token": "'s",
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"logprob": -0.006786893,
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"bytes": [39, 115],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": " impossible"},
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"logprobs": {
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"content": [
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{
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"token": " impossible",
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"logprob": -0.06528423,
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"bytes": [
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32,
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105,
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109,
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112,
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111,
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115,
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115,
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105,
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98,
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108,
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101,
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],
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"top_logprobs": [
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{
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"token": " impossible",
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"logprob": -0.06528423,
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"bytes": [
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32,
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105,
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109,
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112,
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111,
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115,
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115,
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105,
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98,
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108,
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101,
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],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "—even"},
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"logprobs": {
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"content": [
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{
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"token": "—even",
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"logprob": -9999.0,
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"bytes": [226, 128, 148, 101, 118, 101, 110],
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"top_logprobs": [
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{
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"token": " to",
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"logprob": -0.12302828,
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"bytes": [32, 116, 111],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{"index": 0, "delta": {}, "logprobs": None, "finish_reason": "length"}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{"index": 1, "delta": {}, "logprobs": None, "finish_reason": "stop"}
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],
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},
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]
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def test_unit_test_custom_stream_wrapper_n():
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def test_amazing_unit_test_custom_stream_wrapper_n():
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"""
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Test if the translated output maps exactly to the received openai input
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Relevant issue: https://github.com/BerriAI/litellm/issues/3276
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"""
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chunks = [
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "It"},
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"logprobs": {
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"content": [
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{
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"token": "It",
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"logprob": -1.5952516,
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"bytes": [73, 116],
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"top_logprobs": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 1,
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"delta": {"content": "Brown"},
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"logprobs": {
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"content": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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"top_logprobs": [
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{
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"token": "Brown",
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"logprob": -0.7358765,
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"bytes": [66, 114, 111, 119, 110],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "'s"},
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"logprobs": {
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"content": [
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{
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"token": "'s",
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"logprob": -0.006786893,
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"bytes": [39, 115],
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"top_logprobs": [
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{
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"token": "'s",
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"logprob": -0.006786893,
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"bytes": [39, 115],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": " impossible"},
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"logprobs": {
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"content": [
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{
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"token": " impossible",
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"logprob": -0.06528423,
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"bytes": [
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32,
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105,
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109,
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112,
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111,
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115,
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115,
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105,
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98,
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108,
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101,
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],
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"top_logprobs": [
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{
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"token": " impossible",
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"logprob": -0.06528423,
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"bytes": [
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32,
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105,
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109,
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112,
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111,
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115,
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115,
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105,
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98,
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108,
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101,
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],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{
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"index": 0,
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"delta": {"content": "—even"},
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"logprobs": {
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"content": [
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{
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"token": "—even",
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"logprob": -9999.0,
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"bytes": [226, 128, 148, 101, 118, 101, 110],
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"top_logprobs": [
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{
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"token": " to",
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"logprob": -0.12302828,
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"bytes": [32, 116, 111],
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}
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],
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}
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]
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},
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"finish_reason": None,
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}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{"index": 0, "delta": {}, "logprobs": None, "finish_reason": "length"}
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],
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},
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{
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"id": "chatcmpl-9HzZIMCtVq7CbTmdwEZrktiTeoiYe",
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"object": "chat.completion.chunk",
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"created": 1714075272,
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"model": "gpt-4-0613",
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"system_fingerprint": None,
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"choices": [
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{"index": 1, "delta": {}, "logprobs": None, "finish_reason": "stop"}
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],
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},
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]
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litellm.set_verbose = False
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chunk_list = []
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@ -10198,9 +10198,11 @@ class CustomStreamWrapper:
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choice_json.pop(
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"finish_reason", None
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) # for mistral etc. which return a value in their last chunk (not-openai compatible).
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print_verbose(f"choice_json: {choice_json}")
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choices.append(StreamingChoices(**choice_json))
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except Exception as e:
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choices.append(StreamingChoices())
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print_verbose(f"choices in streaming: {choices}")
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model_response.choices = choices
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else:
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return
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