_convert_to_v1_from_genai_input() — langchain Function Reference
Architecture documentation for the _convert_to_v1_from_genai_input() function in google_genai.py from the langchain codebase.
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Dependency Diagram
graph TD 033ef6d5_126f_ff7b_a5d2_07234ffb1322["_convert_to_v1_from_genai_input()"] d24bd624_4204_2ea9_e307_7937b89182bc["google_genai.py"] 033ef6d5_126f_ff7b_a5d2_07234ffb1322 -->|defined in| d24bd624_4204_2ea9_e307_7937b89182bc 67c4b453_8508_9252_4f0c_d47520aaf200["_bytes_to_b64_str()"] 033ef6d5_126f_ff7b_a5d2_07234ffb1322 -->|calls| 67c4b453_8508_9252_4f0c_d47520aaf200 style 033ef6d5_126f_ff7b_a5d2_07234ffb1322 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/langchain_core/messages/block_translators/google_genai.py lines 122–296
def _convert_to_v1_from_genai_input(
content: list[types.ContentBlock],
) -> list[types.ContentBlock]:
"""Convert Google GenAI format blocks to v1 format.
Called when message isn't an `AIMessage` or `model_provider` isn't set on
`response_metadata`.
During the `content_blocks` parsing process, we wrap blocks not recognized as a v1
block as a `'non_standard'` block with the original block stored in the `value`
field. This function attempts to unpack those blocks and convert any blocks that
might be GenAI format to v1 ContentBlocks.
If conversion fails, the block is left as a `'non_standard'` block.
Args:
content: List of content blocks to process.
Returns:
Updated list with GenAI blocks converted to v1 format.
"""
def _iter_blocks() -> Iterator[types.ContentBlock]:
blocks: list[dict[str, Any]] = [
cast("dict[str, Any]", block)
if block.get("type") != "non_standard"
else block["value"] # type: ignore[typeddict-item] # this is only non-standard blocks
for block in content
]
for block in blocks:
num_keys = len(block)
block_type = block.get("type")
if num_keys == 1 and (text := block.get("text")):
# This is probably a TextContentBlock
yield {"type": "text", "text": text}
elif (
num_keys == 1
and (document := block.get("document"))
and isinstance(document, dict)
and "format" in document
):
# Handle document format conversion
doc_format = document.get("format")
source = document.get("source", {})
if doc_format == "pdf" and "bytes" in source:
# PDF document with byte data
file_block: types.FileContentBlock = {
"type": "file",
"base64": source["bytes"]
if isinstance(source["bytes"], str)
else _bytes_to_b64_str(source["bytes"]),
"mime_type": "application/pdf",
}
# Preserve extra fields
extras = {
key: value
for key, value in document.items()
if key not in {"format", "source"}
}
if extras:
file_block["extras"] = extras
yield file_block
elif doc_format == "txt" and "text" in source:
# Text document
plain_text_block: types.PlainTextContentBlock = {
"type": "text-plain",
"text": source["text"],
"mime_type": "text/plain",
}
# Preserve extra fields
extras = {
key: value
for key, value in document.items()
if key not in {"format", "source"}
}
if extras:
plain_text_block["extras"] = extras
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Frequently Asked Questions
What does _convert_to_v1_from_genai_input() do?
_convert_to_v1_from_genai_input() is a function in the langchain codebase, defined in libs/core/langchain_core/messages/block_translators/google_genai.py.
Where is _convert_to_v1_from_genai_input() defined?
_convert_to_v1_from_genai_input() is defined in libs/core/langchain_core/messages/block_translators/google_genai.py at line 122.
What does _convert_to_v1_from_genai_input() call?
_convert_to_v1_from_genai_input() calls 1 function(s): _bytes_to_b64_str.
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