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https://github.com/hwchase17/langchain
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[experimental]: minor fix to open assistants code (#24682)
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@ -272,7 +272,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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instructions=instructions,
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tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore
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model=model,
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file_ids=kwargs.get("file_ids"),
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)
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return cls(assistant_id=assistant.id, client=client, **kwargs)
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@ -287,7 +286,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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thread_id: Existing thread to use.
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run_id: Existing run to use. Should only be supplied when providing
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the tool output for a required action after an initial invocation.
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file_ids: File ids to include in new run. Used for retrieval.
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message_metadata: Metadata to associate with new message.
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thread_metadata: Metadata to associate with new thread. Only relevant
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when new thread being created.
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@ -327,7 +325,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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{
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"role": "user",
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"content": input["content"],
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"file_ids": input.get("file_ids", []),
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"metadata": input.get("message_metadata"),
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}
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],
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@ -340,7 +337,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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input["thread_id"],
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content=input["content"],
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role="user",
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file_ids=input.get("file_ids", []),
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metadata=input.get("message_metadata"),
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)
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run = self._create_run(input)
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@ -394,7 +390,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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instructions=instructions,
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tools=openai_tools, # type: ignore
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model=model,
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file_ids=kwargs.get("file_ids"),
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)
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return cls(assistant_id=assistant.id, async_client=async_client, **kwargs)
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@ -409,7 +404,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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thread_id: Existing thread to use.
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run_id: Existing run to use. Should only be supplied when providing
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the tool output for a required action after an initial invocation.
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file_ids: File ids to include in new run. Used for retrieval.
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message_metadata: Metadata to associate with a new message.
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thread_metadata: Metadata to associate with new thread. Only relevant
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when a new thread is created.
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@ -439,7 +433,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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try:
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# Being run within AgentExecutor and there are tool outputs to submit.
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if self.as_agent and input.get("intermediate_steps"):
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tool_outputs = self._parse_intermediate_steps(
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tool_outputs = await self._aparse_intermediate_steps(
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input["intermediate_steps"]
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)
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run = await self.async_client.beta.threads.runs.submit_tool_outputs(
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@ -452,7 +446,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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{
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"role": "user",
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"content": input["content"],
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"file_ids": input.get("file_ids", []),
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"metadata": input.get("message_metadata"),
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}
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],
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@ -465,7 +458,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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input["thread_id"],
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content=input["content"],
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role="user",
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file_ids=input.get("file_ids", []),
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metadata=input.get("message_metadata"),
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)
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run = await self._acreate_run(input)
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@ -493,9 +485,11 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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) -> dict:
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last_action, last_output = intermediate_steps[-1]
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run = self._wait_for_run(last_action.run_id, last_action.thread_id)
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required_tool_call_ids = {
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tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
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}
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required_tool_call_ids = set()
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if run.required_action:
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required_tool_call_ids = {
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tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
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}
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tool_outputs = [
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{"output": str(output), "tool_call_id": action.tool_call_id}
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for action, output in intermediate_steps
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@ -621,9 +615,11 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
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) -> dict:
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last_action, last_output = intermediate_steps[-1]
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run = await self._wait_for_run(last_action.run_id, last_action.thread_id)
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required_tool_call_ids = {
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tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
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}
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required_tool_call_ids = set()
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if run.required_action:
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required_tool_call_ids = {
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tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
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}
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tool_outputs = [
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{"output": str(output), "tool_call_id": action.tool_call_id}
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for action, output in intermediate_steps
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