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Add support for OpenAI o1 model
Needed to handle the current API limitations of the o1 model. Specifically its inability to stream responses
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3 changed files with 16 additions and 10 deletions
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@ -58,13 +58,17 @@ def completion_with_backoff(
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openai_clients[client_key] = client
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openai_clients[client_key] = client
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formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
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formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
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stream = True
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# Update request parameters for compatability with o1 model series
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# Update request parameters for compatability with o1 model series
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# Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
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# Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
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if model_name.startswith("o1"):
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stream = True
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model_kwargs["stream_options"] = {"include_usage": True}
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if model_name == "o1":
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temperature = 1
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stream = False
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model_kwargs.pop("stream_options", None)
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elif model_name.startswith("o1"):
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temperature = 1
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temperature = 1
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model_kwargs.pop("stop", None)
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model_kwargs.pop("response_format", None)
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model_kwargs.pop("response_format", None)
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if os.getenv("KHOJ_LLM_SEED"):
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if os.getenv("KHOJ_LLM_SEED"):
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@ -74,7 +78,6 @@ def completion_with_backoff(
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messages=formatted_messages, # type: ignore
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messages=formatted_messages, # type: ignore
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model=model_name, # type: ignore
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model=model_name, # type: ignore
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stream=stream,
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stream=stream,
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stream_options={"include_usage": True} if stream else {},
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temperature=temperature,
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temperature=temperature,
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timeout=20,
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timeout=20,
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**model_kwargs,
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**model_kwargs,
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@ -165,13 +168,17 @@ def llm_thread(
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client = openai_clients[client_key]
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client = openai_clients[client_key]
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formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
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formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
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stream = True
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# Update request parameters for compatability with o1 model series
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# Update request parameters for compatability with o1 model series
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# Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
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# Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
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if model_name.startswith("o1"):
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stream = True
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model_kwargs["stream_options"] = {"include_usage": True}
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if model_name == "o1":
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temperature = 1
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stream = False
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model_kwargs.pop("stream_options", None)
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elif model_name.startswith("o1-"):
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temperature = 1
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temperature = 1
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model_kwargs.pop("stop", None)
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model_kwargs.pop("response_format", None)
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model_kwargs.pop("response_format", None)
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if os.getenv("KHOJ_LLM_SEED"):
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if os.getenv("KHOJ_LLM_SEED"):
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@ -181,7 +188,6 @@ def llm_thread(
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messages=formatted_messages,
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messages=formatted_messages,
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model=model_name, # type: ignore
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model=model_name, # type: ignore
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stream=stream,
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stream=stream,
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stream_options={"include_usage": True} if stream else {},
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temperature=temperature,
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temperature=temperature,
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timeout=20,
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timeout=20,
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**model_kwargs,
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**model_kwargs,
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@ -54,7 +54,7 @@ model_to_prompt_size = {
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# OpenAI Models
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# OpenAI Models
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"gpt-4o": 20000,
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"gpt-4o": 20000,
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"gpt-4o-mini": 20000,
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"gpt-4o-mini": 20000,
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"o1-preview": 20000,
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"o1": 20000,
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"o1-mini": 20000,
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"o1-mini": 20000,
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# Google Models
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# Google Models
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"gemini-1.5-flash": 20000,
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"gemini-1.5-flash": 20000,
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@ -38,7 +38,7 @@ model_to_cost: Dict[str, Dict[str, float]] = {
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# OpenAI Pricing: https://openai.com/api/pricing/
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# OpenAI Pricing: https://openai.com/api/pricing/
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"gpt-4o": {"input": 2.50, "output": 10.00},
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"gpt-4o": {"input": 2.50, "output": 10.00},
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"gpt-4o-mini": {"input": 0.15, "output": 0.60},
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"gpt-4o-mini": {"input": 0.15, "output": 0.60},
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"o1-preview": {"input": 15.0, "output": 60.00},
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"o1": {"input": 15.0, "output": 60.00},
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"o1-mini": {"input": 3.0, "output": 12.0},
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"o1-mini": {"input": 3.0, "output": 12.0},
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# Gemini Pricing: https://ai.google.dev/pricing
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# Gemini Pricing: https://ai.google.dev/pricing
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"gemini-1.5-flash": {"input": 0.075, "output": 0.30},
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"gemini-1.5-flash": {"input": 0.075, "output": 0.30},
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