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https://github.com/hwchase17/langchain.git
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anthropic[patch]: release 0.1.9, use tool calls if content is empty (#20535)
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@@ -10,6 +10,7 @@ from typing import (
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Dict,
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Iterator,
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List,
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Literal,
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Mapping,
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Optional,
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Sequence,
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@@ -38,6 +39,7 @@ from langchain_core.messages import (
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BaseMessage,
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HumanMessage,
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SystemMessage,
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ToolCall,
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ToolMessage,
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)
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from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
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@@ -156,7 +158,7 @@ def _format_messages(messages: List[BaseMessage]) -> Tuple[Optional[str], List[D
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continue
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role = _message_type_lookups[message.type]
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content: Union[str, List[Dict]]
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content: Union[str, List]
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if not isinstance(message.content, str):
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# parse as dict
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@@ -195,6 +197,20 @@ def _format_messages(messages: List[BaseMessage]) -> Tuple[Optional[str], List[D
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raise ValueError(
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f"Content items must be str or dict, instead was: {type(item)}"
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)
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elif (
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isinstance(message, AIMessage)
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and not isinstance(message.content, list)
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and message.tool_calls
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):
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content = (
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[]
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if not message.content
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else [{"type": "text", "text": message.content}]
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)
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# Note: Anthropic can't have invalid tool calls as presently defined,
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# since the model already returns dicts args not JSON strings, and invalid
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# tool calls are those with invalid JSON for args.
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content += _lc_tool_calls_to_anthropic_tool_use_blocks(message.tool_calls)
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else:
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content = message.content
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@@ -677,6 +693,29 @@ def _tools_in_params(params: dict) -> bool:
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)
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class _AnthropicToolUse(TypedDict):
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type: Literal["tool_use"]
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name: str
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input: dict
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id: str
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def _lc_tool_calls_to_anthropic_tool_use_blocks(
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tool_calls: List[ToolCall],
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) -> List[_AnthropicToolUse]:
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blocks = []
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for tool_call in tool_calls:
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blocks.append(
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_AnthropicToolUse(
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type="tool_use",
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name=tool_call["name"],
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input=tool_call["args"],
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id=cast(str, tool_call["id"]),
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)
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)
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return blocks
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@deprecated(since="0.1.0", removal="0.2.0", alternative="ChatAnthropic")
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class ChatAnthropicMessages(ChatAnthropic):
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pass
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