A solution that enables seamless calls across LLM providers
AIRouter solves the multi-vendor API compatibility problem by unifying the API interface design, the specific implementation steps are as follows:
- Standardized Interface Package: all LLM requests are converted to a uniform format, developers only need to call the generate method in the LLM_Wrapper class, which internally handles the protocol differences between vendors automatically
- source configuration management: the interface specifications of OpenAI, Anthropic and other mainstream vendors are pre-built in ew_config/source.py, and you only need to extend this configuration file when adding new vendors
- Intelligent Routing Mechanism: automatically matches the optimal provider based on the model_name parameter in the request, e.g. gpt4o_mini might route to OpenAI or OpenRouter
Example of an actual call:
from LLMwrapper import LLM_Wrapper
response = LLM_Wrapper.generate(
model_name="gpt4o_mini",
prompt="Your question"
)
Note: It is recommended to configure alternate keys for multiple vendors in api_keys_local.py so that the system will automatically switch when the primary vendor is not available.
This answer comes from the articleAIRouter: Intelligent Routing Tool for Calling Multiple Models with Unified API InterfaceThe
May not be reproduced without permission:AI productivity tools " How to achieve seamless API calls across multiple LLM providers?
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