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fix(ollama_chat.py): use tiktoken as backup for prompt token counting
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@@ -220,7 +220,7 @@ def get_ollama_response(
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model_response["choices"][0]["message"] = response_json["message"]
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model_response["created"] = int(time.time())
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model_response["model"] = "ollama/" + model
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prompt_tokens = response_json["prompt_eval_count"] # type: ignore
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prompt_tokens = response_json.get("prompt_eval_count", len(encoding.encode(prompt))) # type: ignore
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completion_tokens = response_json["eval_count"]
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model_response["usage"] = litellm.Usage(
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prompt_tokens=prompt_tokens,
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@@ -320,7 +320,7 @@ async def ollama_acompletion(url, data, model_response, encoding, logging_obj):
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model_response["choices"][0]["message"] = response_json["message"]
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model_response["created"] = int(time.time())
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model_response["model"] = "ollama/" + data["model"]
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prompt_tokens = response_json["prompt_eval_count"] # type: ignore
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prompt_tokens = response_json.get("prompt_eval_count", len(encoding.encode(prompt))) # type: ignore
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completion_tokens = response_json["eval_count"]
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model_response["usage"] = litellm.Usage(
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prompt_tokens=prompt_tokens,
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