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Bagatur 2024-08-30 12:54:55 -07:00
parent eb7e485886
commit 9bf6215571
1 changed files with 4 additions and 4 deletions
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8
libs/core/langchain_core/messages/utils.py
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@ -1001,7 +1001,7 @@ def format_messages(
ToolMessage("foobar", tool_call_id="1", name="bar"), ToolMessage("foobar", tool_call_id="1", name="bar"),
{"role": "assistant", "content": "thats nice"}, {"role": "assistant", "content": "thats nice"},
] ]
oai_strings = format_messages(messages, format="langchain-openai", text="string") oai_strings = format_messages(messages, format="langchain-openai", text_format="string")
# -> [ # -> [
# SystemMessage(content='foo'), # SystemMessage(content='foo'),
# HumanMessage(content=[{'type': 'text', 'text': 'whats in this'}, {'type': 'image_url', 'image_url': {'url': "data:image/png;base64,'/9j/4AAQSk'"}}]), # HumanMessage(content=[{'type': 'text', 'text': 'whats in this'}, {'type': 'image_url', 'image_url': {'url': "data:image/png;base64,'/9j/4AAQSk'"}}]),
@ -1010,7 +1010,7 @@ def format_messages(
# AIMessage(content='thats nice') # AIMessage(content='thats nice')
# ] # ]
anthropic_blocks = format_messages(messages, format="langchain-anthropic", text="block") anthropic_blocks = format_messages(messages, format="langchain-anthropic", text_format="block")
# -> [ # -> [
# SystemMessage(content=[{'type': 'text', 'text': 'foo'}]), # SystemMessage(content=[{'type': 'text', 'text': 'foo'}]),
# HumanMessage(content=[{'type': 'text', 'text': 'whats in this'}, {'type': 'image', 'source': {'type': 'base64', 'media_type': 'image/png', 'data': "'/9j/4AAQSk'"}}]), # HumanMessage(content=[{'type': 'text', 'text': 'whats in this'}, {'type': 'image', 'source': {'type': 'base64', 'media_type': 'image/png', 'data': "'/9j/4AAQSk'"}}]),
@ -1027,7 +1027,7 @@ def format_messages(
from langchain_core.messages import format_messages from langchain_core.messages import format_messages
from langchain.chat_models import init_chat_model from langchain.chat_models import init_chat_model
formatter = format_messages(format="langchain-openai", text="string") formatter = format_messages(format="langchain-openai", text_format="string")
llm = init_chat_model() | formatter llm = init_chat_model() | formatter
llm.invoke( llm.invoke(
@ -1050,7 +1050,7 @@ def format_messages(
from langchain_core.messages import format_messages from langchain_core.messages import format_messages
from langchain.chat_models import init_chat_model from langchain.chat_models import init_chat_model
formatter = format_messages(format="langchain-openai", text="string") formatter = format_messages(format="langchain-openai", text_format="string")
def multiply(a: int, b: int) -> int: def multiply(a: int, b: int) -> int:
'''Return product of a and b.''' '''Return product of a and b.'''