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LLMs

Features (natively supported)

All LLMs implement the Runnable interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all LLMs basic support for async, streaming and batch, which by default is implemented as below:

  • Async support defaults to calling the respective sync method in asyncio's default thread pool executor. This lets other async functions in your application make progress while the LLM is being executed, by moving this call to a background thread.
  • Streaming support defaults to returning an Iterator (or AsyncIterator in the case of async streaming) of a single value, the final result returned by the underlying LLM provider. This obviously doesn't give you token-by-token streaming, which requires native support from the LLM provider, but ensures your code that expects an iterator of tokens can work for any of our LLM integrations.
  • Batch support defaults to calling the underlying LLM in parallel for each input by making use of a thread pool executor (in the sync batch case) or asyncio.gather (in the async batch case). The concurrency can be controlled with the max_concurrency key in RunnableConfig.

Each LLM integration can optionally provide native implementations for async, streaming or batch, which, for providers that support it, can be more efficient. The table shows, for each integration, which features have been implemented with native support.

ModelInvokeAsync invokeStreamAsync streamBatchAsync batch
AI21
AlephAlpha
AmazonAPIGateway
Anthropic
Anyscale
Aphrodite
Arcee
Aviary
AzureMLOnlineEndpoint
AzureOpenAI
BaichuanLLM
Banana
Baseten
Beam
Bedrock
CTransformers
CTranslate2
CerebriumAI
ChatGLM
Clarifai
Cohere
Databricks
DeepInfra
DeepSparse
EdenAI
Fireworks
ForefrontAI
Friendli
GPT4All
GigaChat
GooglePalm
GooseAI
GradientLLM
HuggingFaceEndpoint
HuggingFaceHub
HuggingFacePipeline
HuggingFaceTextGenInference
HumanInputLLM
IpexLLM
JavelinAIGateway
KoboldApiLLM
Konko
LlamaCpp
Llamafile
MLXPipeline
ManifestWrapper
Minimax
Mlflow
MlflowAIGateway
Modal
MosaicML
NIBittensorLLM
NLPCloud
Nebula
OCIGenAI
OCIModelDeploymentTGI
OCIModelDeploymentVLLM
OctoAIEndpoint
Ollama
OpaquePrompts
OpenAI
OpenLLM
OpenLM
PaiEasEndpoint
Petals
PipelineAI
Predibase
PredictionGuard
PromptLayerOpenAI
QianfanLLMEndpoint
RWKV
Replicate
SagemakerEndpoint
SambaStudio
Sambaverse
SelfHostedHuggingFaceLLM
SelfHostedPipeline
SparkLLM
StochasticAI
TextGen
TitanTakeoff
TitanTakeoffPro
Together
Tongyi
VLLM
VLLMOpenAI
VertexAI
VertexAIModelGarden
VolcEngineMaasLLM
WatsonxLLM
WeightOnlyQuantPipeline
Writer
Xinference
YandexGPT
Yuan2

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