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https://github.com/hwchase17/langchain.git
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chore: [openai] bump sdk (#31958)
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@@ -138,7 +138,11 @@ class AzureChatOpenAI(BaseChatOpenAI):
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AIMessage(
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content="J'adore programmer.",
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usage_metadata={"input_tokens": 28, "output_tokens": 6, "total_tokens": 34},
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usage_metadata={
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"input_tokens": 28,
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"output_tokens": 6,
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"total_tokens": 34,
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},
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response_metadata={
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"token_usage": {
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"completion_tokens": 6,
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@@ -184,8 +188,12 @@ class AzureChatOpenAI(BaseChatOpenAI):
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AIMessageChunk(content="ad", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(content="ore", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(content=" la", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(content=" programm", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(content="ation", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(
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content=" programm", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f"
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)
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AIMessageChunk(
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content="ation", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f"
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)
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AIMessageChunk(content=".", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
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AIMessageChunk(
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content="",
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@@ -294,7 +302,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
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setup: str = Field(description="The setup of the joke")
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punchline: str = Field(description="The punchline to the joke")
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rating: Optional[int] = Field(description="How funny the joke is, from 1 to 10")
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rating: Optional[int] = Field(
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description="How funny the joke is, from 1 to 10"
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)
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structured_llm = llm.with_structured_output(Joke)
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@@ -930,7 +940,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
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)
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llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
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llm = AzureChatOpenAI(
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azure_deployment="...", model="gpt-4o", temperature=0
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)
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structured_llm = llm.with_structured_output(AnswerWithJustification)
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structured_llm.invoke(
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@@ -961,7 +973,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
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)
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llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
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llm = AzureChatOpenAI(
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azure_deployment="...", model="gpt-4o", temperature=0
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)
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structured_llm = llm.with_structured_output(
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AnswerWithJustification, method="function_calling"
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)
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@@ -990,7 +1004,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
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justification: str
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llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
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llm = AzureChatOpenAI(
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azure_deployment="...", model="gpt-4o", temperature=0
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)
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structured_llm = llm.with_structured_output(
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AnswerWithJustification, include_raw=True
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)
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@@ -1022,7 +1038,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
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]
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llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
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llm = AzureChatOpenAI(
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azure_deployment="...", model="gpt-4o", temperature=0
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)
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structured_llm = llm.with_structured_output(AnswerWithJustification)
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structured_llm.invoke(
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