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_convert_to_v1_from_mistral() — langchain Function Reference

Architecture documentation for the _convert_to_v1_from_mistral() function in _compat.py from the langchain codebase.

Function python LangChainCore ApiManagement called by 2

Entity Profile

Dependency Diagram

graph TD
  881573b2_0ea0_ce4d_8772_0bb4efe4427b["_convert_to_v1_from_mistral()"]
  93f8f3a4_a00a_3cbb_6048_6799a3ca5301["_compat.py"]
  881573b2_0ea0_ce4d_8772_0bb4efe4427b -->|defined in| 93f8f3a4_a00a_3cbb_6048_6799a3ca5301
  500ada99_83e8_6642_8552_4dc4dcd3d38a["translate_content()"]
  500ada99_83e8_6642_8552_4dc4dcd3d38a -->|calls| 881573b2_0ea0_ce4d_8772_0bb4efe4427b
  b952c82f_9391_6fd0_850d_29a35d34c7a0["translate_content_chunk()"]
  b952c82f_9391_6fd0_850d_29a35d34c7a0 -->|calls| 881573b2_0ea0_ce4d_8772_0bb4efe4427b
  style 881573b2_0ea0_ce4d_8772_0bb4efe4427b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/_compat.py lines 46–112

def _convert_to_v1_from_mistral(message: AIMessage) -> list[types.ContentBlock]:
    """Convert mistral message content to v1 format."""
    if isinstance(message.content, str):
        content_blocks: list[types.ContentBlock] = [
            {"type": "text", "text": message.content}
        ]

    else:
        content_blocks = []
        for block in message.content:
            if isinstance(block, str):
                content_blocks.append({"type": "text", "text": block})

            elif isinstance(block, dict):
                if block.get("type") == "text" and isinstance(block.get("text"), str):
                    text_block: types.TextContentBlock = {
                        "type": "text",
                        "text": block["text"],
                    }
                    if "index" in block:
                        text_block["index"] = block["index"]
                    content_blocks.append(text_block)

                elif block.get("type") == "thinking" and isinstance(
                    block.get("thinking"), list
                ):
                    for sub_block in block["thinking"]:
                        if (
                            isinstance(sub_block, dict)
                            and sub_block.get("type") == "text"
                        ):
                            reasoning_block: types.ReasoningContentBlock = {
                                "type": "reasoning",
                                "reasoning": sub_block.get("text", ""),
                            }
                            if "index" in block:
                                reasoning_block["index"] = block["index"]
                            content_blocks.append(reasoning_block)

                else:
                    non_standard_block: types.NonStandardContentBlock = {
                        "type": "non_standard",
                        "value": block,
                    }
                    content_blocks.append(non_standard_block)
            else:
                continue

    if (
        len(content_blocks) == 1
        and content_blocks[0].get("type") == "text"
        and content_blocks[0].get("text") == ""
        and message.tool_calls
    ):
        content_blocks = []

    for tool_call in message.tool_calls:
        content_blocks.append(
            {
                "type": "tool_call",
                "name": tool_call["name"],
                "args": tool_call["args"],
                "id": tool_call.get("id"),
            }
        )

    return content_blocks

Domain

Subdomains

Defined In

Called By

Source

Frequently Asked Questions

What does _convert_to_v1_from_mistral() do?
_convert_to_v1_from_mistral() is a function in the langchain codebase, defined in libs/partners/mistralai/langchain_mistralai/_compat.py.
Where is _convert_to_v1_from_mistral() defined?
_convert_to_v1_from_mistral() is defined in libs/partners/mistralai/langchain_mistralai/_compat.py at line 46.
What calls _convert_to_v1_from_mistral()?
_convert_to_v1_from_mistral() is called by 2 function(s): translate_content, translate_content_chunk.

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