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Some providers include (legacy) function calls in `additional_kwargs` in addition to tool calls. We currently unpack both function calls and tool calls if present, but OpenAI will raise 400 in this case. This can come up if providers are mixed in a tool-calling loop. Example: ```python from langchain.chat_models import init_chat_model from langchain_core.messages import HumanMessage from langchain_core.tools import tool @tool def get_weather(location: str) -> str: """Get weather at a location.""" return "It's sunny." gemini = init_chat_model("google_genai:gemini-2.0-flash-001").bind_tools([get_weather]) openai = init_chat_model("openai:gpt-4.1-mini").bind_tools([get_weather]) input_message = HumanMessage("What's the weather in Boston?") tool_call_message = gemini.invoke([input_message]) assert len(tool_call_message.tool_calls) == 1 tool_call = tool_call_message.tool_calls[0] tool_message = get_weather.invoke(tool_call) response = openai.invoke( # currently raises 400 / BadRequestError [input_message, tool_call_message, tool_message] ) ``` Here we ignore function calls if tool calls are present. |
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ai21 | ||
anthropic | ||
astradb | ||
azure-dynamic-sessions | ||
chroma | ||
couchbase | ||
deepseek | ||
exa | ||
fireworks | ||
groq | ||
huggingface | ||
ibm | ||
milvus | ||
mistralai | ||
mongodb | ||
nomic | ||
ollama | ||
openai | ||
perplexity | ||
pinecone | ||
prompty | ||
qdrant | ||
together | ||
unstructured | ||
voyageai | ||
xai |