_convert_to_v1_from_chat_completions_input() — langchain Function Reference
Architecture documentation for the _convert_to_v1_from_chat_completions_input() function in openai.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD e06c3a3b_b539_e71c_f165_d7355563ba61["_convert_to_v1_from_chat_completions_input()"] 3f58992c_878c_57d1_7412_5e64743aa7ba["openai.py"] e06c3a3b_b539_e71c_f165_d7355563ba61 -->|defined in| 3f58992c_878c_57d1_7412_5e64743aa7ba f017275d_db65_5cb1_527d_53d0c724527f["_convert_openai_format_to_data_block()"] e06c3a3b_b539_e71c_f165_d7355563ba61 -->|calls| f017275d_db65_5cb1_527d_53d0c724527f style e06c3a3b_b539_e71c_f165_d7355563ba61 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/langchain_core/messages/block_translators/openai.py lines 178–223
def _convert_to_v1_from_chat_completions_input(
content: list[types.ContentBlock],
) -> list[types.ContentBlock]:
"""Convert OpenAI Chat Completions format blocks to v1 format.
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 OpenAI 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 OpenAI blocks converted to v1 format.
"""
converted_blocks = []
unpacked_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 unpacked_blocks:
if block.get("type") in {
"image_url",
"input_audio",
"file",
} and is_openai_data_block(block):
converted_block = _convert_openai_format_to_data_block(block)
# If conversion succeeded, use it; otherwise keep as non_standard
if (
isinstance(converted_block, dict)
and converted_block.get("type") in types.KNOWN_BLOCK_TYPES
):
converted_blocks.append(cast("types.ContentBlock", converted_block))
else:
converted_blocks.append({"type": "non_standard", "value": block})
elif block.get("type") in types.KNOWN_BLOCK_TYPES:
converted_blocks.append(cast("types.ContentBlock", block))
else:
converted_blocks.append({"type": "non_standard", "value": block})
return converted_blocks
Domain
Subdomains
Source
Frequently Asked Questions
What does _convert_to_v1_from_chat_completions_input() do?
_convert_to_v1_from_chat_completions_input() is a function in the langchain codebase, defined in libs/core/langchain_core/messages/block_translators/openai.py.
Where is _convert_to_v1_from_chat_completions_input() defined?
_convert_to_v1_from_chat_completions_input() is defined in libs/core/langchain_core/messages/block_translators/openai.py at line 178.
What does _convert_to_v1_from_chat_completions_input() call?
_convert_to_v1_from_chat_completions_input() calls 1 function(s): _convert_openai_format_to_data_block.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free