GPTRouter
GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming.
This notebook covers how to get started with using Langchain + the GPTRouter I/O library.
- Set
GPT_ROUTER_API_KEYenvironment variable - or use the
gpt_router_api_keykeyword argument
%pip install--upgrade--quiet GPTRouter
Requirement already satisfied: GPTRouter in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (0.1.3)
Requirement already satisfied: pydantic==2.5.2 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from GPTRouter) (2.5.2)
Requirement already satisfied: httpx>=0.25.2 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from GPTRouter) (0.25.2)
Requirement already satisfied: annotated-types>=0.4.0 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from pydantic==2.5.2->GPTRouter) (0.6.0)
Requirement already satisfied: pydantic-core==2.14.5 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from pydantic==2.5.2->GPTRouter) (2.14.5)
Requirement already satisfied: typing-extensions>=4.6.1 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from pydantic==2.5.2->GPTRouter) (4.8.0)
Requirement already satisfied: idna in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpx>=0.25.2->GPTRouter) (3.6)
Requirement already satisfied: anyio in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpx>=0.25.2->GPTRouter) (3.7.1)
Requirement already satisfied: sniffio in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpx>=0.25.2->GPTRouter) (1.3.0)
Requirement already satisfied: certifi in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpx>=0.25.2->GPTRouter) (2023.11.17)
Requirement already satisfied: httpcore==1.* in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpx>=0.25.2->GPTRouter) (1.0.2)
Requirement already satisfied: h11<0.15,>=0.13 in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from httpcore==1.*->httpx>=0.25.2->GPTRouter) (0.14.0)
Requirement already satisfied: exceptiongroup in /Users/sirjan-ws/.pyenv/versions/3.10.13/envs/langchain_venv5/lib/python3.10/site-packages (from anyio->httpx>=0.25.2->GPTRouter) (1.2.0)
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip is available: [0m[31;49m23.0.1[0m[39;49m -> [0m[32;49m23.3.2[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m
Note: you may need to restart the kernel to use updated packages.
from langchain_community.chat_modelsimport GPTRouter
from langchain_community.chat_models.gpt_routerimport GPTRouterModel
from langchain_core.messagesimport HumanMessage
anthropic_claude= GPTRouterModel(name="claude-instant-1.2", provider_name="anthropic")
chat= GPTRouter(models_priority_list=[anthropic_claude])
messages=[
HumanMessage(
content="Translate this sentence from English to French. I love programming."
)
]
chat(messages)
AIMessage(content=" J'aime programmer.")
GPTRouter also supports async and streaming functionality:
from langchain_core.callbacksimport CallbackManager, StreamingStdOutCallbackHandler
API Reference:CallbackManager |StreamingStdOutCallbackHandler
await chat.agenerate([messages])
LLMResult(generations=[[ChatGeneration(text=" J'aime programmer.", generation_info={'finish_reason': 'stop_sequence'}, message=AIMessage(content=" J'aime programmer."))]], llm_output={}, run=[RunInfo(run_id=UUID('9885f27f-c35a-4434-9f37-c254259762a5'))])
chat= GPTRouter(
models_priority_list=[anthropic_claude],
streaming=True,
verbose=True,
callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),
)
chat(messages)
J'aime programmer.
AIMessage(content=" J'aime programmer.")
Related
- Chat modelconceptual guide
- Chat modelhow-to guides