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eino-compose

eino-compose

github.com/cloudwegoAgent workflows828322 installsUpdated 1w ago
Repository

About eino-compose

eino-compose is Eino's Go orchestration package for developers connecting components into executable flows. It offers Graph, Chain, and Workflow topologies, all compiled into a Runnable with four execution modes.

Key features

  1. 01Graph supports branching and cycles
  2. 02Chain builds linear pipelines
  3. 03Workflow maps fields between structs
  4. 04Runnable supports Invoke, Stream, Collect, and Transform
  5. 05State, checkpoints, and callbacks

Use cases

  1. 01Connect prompts, models, and parsers in sequence
  2. 02Build flows with branching or loops
  3. 03Route data between fields in different structs
  4. 04Add streaming or shared state to a flow

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cloudwego/eino-ext --skill eino-compose

After installing, type/eino-composein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

reference/
call-option.md
callback.md
chain.md
checkpoint-and-state.md
graph.md
stream.md
workflow.md

Details

From the project README

Orchestration Overview

The github.com/cloudwego/eino/compose package provides three orchestration APIs:

APITopologyCyclesType Alignment
GraphDirected graphYes (Pregel mode) / No (DAG mode)Whole input/output
ChainLinear sequenceNoWhole input/output
WorkflowDAGNoField-level mapping

*Chain is implemented on top of Graph in Pregel mode but enforces linear topology.

All three compile into Runnable[I, O] which exposes Invoke, Stream, Collect, and Transform.

import "github.com/cloudwego/eino/compose"

Choosing an API

  • Chain -- sequential pipeline: prompt -> model -> parser. Simplest API.
  • Graph -- need branching, loops (ReAct agent), or fan-out/fan-in.
  • Workflow -- need field-level mapping between nodes with different struct types; DAG only.

Graph Quick Reference

g := compose.NewGraph[InputType, OutputType]()

// Add nodes
g.AddChatModelNode("model", chatModel)
g.AddChatTemplateNode("tmpl", tmpl)
g.AddToolsNode("tools", toolsNode)
g.AddLambdaNode("fn", compose.InvokableLambda(myFunc))
g.AddPassthroughNode("pass")
g.AddGraphNode("sub", subGraph)

// Connect nodes
g.AddEdge(compose.START, "tmpl")
g.AddEdge("tmpl", "model")
g.AddEdge("model", compose.END)

// Branch (conditional routing)
branch := compose.NewGraphBranch(conditionFn, map[string]bool{"a": true, "b": true})
g.AddBranch("model", branch)

// Compile and run
r, err := g.Compile(ctx)
out, err := r.Invoke(ctx, input)

Chain Quick Reference

chain := compose.NewChain[InputType, OutputType]()
chain.
    AppendChatTemplate(tmpl).
    AppendChatModel(model).
    AppendLambda(compose.InvokableLambda(parseFn))

r, err := chain.Compile(ctx)
out, err := r.Invoke(ctx, input)

Append methods: AppendChatModel, AppendChatTemplate, AppendToolsNode, AppendAgenticToolsNode, AppendLambda, AppendGraph, AppendParallel, AppendBranch, AppendPassthrough, AppendRetriever, AppendEmbedding, AppendLoader, AppendIndexer, AppendDocumentTransformer.

Workflow Quick Reference

wf := compose.NewWorkflow[InputStruct, OutputStruct]()

wf.AddLambdaNode("node1", compose.InvokableLambda(fn1)).
    AddInput(compose.START, compose.MapFields("FieldA", "InputField"))

wf.AddLambdaNode("node2", compose.InvokableLambda(fn2)).
    AddInput("node1", compose.ToField("Result"))

wf.End().AddInput("node2")

r, err := wf.Compile(ctx)

Field mapping helpers: MapFields, ToField, FromField, MapFieldPaths, ToFieldPath, FromFieldPath.

Stream Programming

Four interaction modes on Runnable[I, O]:

ModeInputOutputLambda Constructor
InvokeIOcompose.InvokableLambda
StreamI*StreamReader[O]compose.StreamableLambda
Collect*StreamReader[I]Ocompose.CollectableLambda
Transform*StreamReader[I]*StreamReader[O]compose.TransformableLambda

Framework auto-converts between modes:

  • Invoke call: all internal nodes run in Invoke mode.
  • Stream/Collect/Transform call: all internal nodes run in Transform mode; missing modes are auto-filled.

Stream primitives live in github.com/cloudwego/eino/schema:

sr, sw := schema.Pipe[T](capacity)
// sw.Send(chunk, nil); sw.Close()
// chunk, err := sr.Recv(); sr.Close()

AgenticToolsNode

AgenticToolsNode is the agentic counterpart to ToolsNode. It operates on *schema.AgenticMessage instead of *schema.Message, extracting FunctionToolCall content blocks and returning FunctionToolResult content blocks.

import "github.com/cloudwego/eino/compose"

// Create from the same ToolsNodeConfig
agenticToolsNode, err := compose.NewAgenticToolsNode(ctx, &compose.ToolsNodeConfig{
    Tools: []tool.BaseTool{myTool1, myTool2},
})

// Use in Graph
g := compose.NewGraph[*schema.AgenticMessage, []*schema.AgenticMessage]()
g.AddAgenticToolsNode("tools", agenticToolsNode)

// Use in Chain
chain := compose.NewChain[*schema.AgenticMessage, []*schema.AgenticMessage]()
chain.AppendAgenticToolsNode(agenticToolsNode)

Key differences from ToolsNode:

  • Input: *schema.AgenticMessage (reads ContentBlockTypeFunctionToolCall blocks)
  • Output: []*schema.AgenticMessage (writes ContentBlockTypeFunctionToolResult blocks)
  • Supports multimodal tool results (text, image, audio, video, file)
  • Handles ToolSearchFunctionToolResult for dynamic tool discovery
  • Reuses the same ToolsNodeConfig -- all existing tools work unchanged

Compile & Run

r, err := g.Compile(ctx,
    compose.WithGraphName("my_graph"),
    compose.WithNodeTriggerMode(compose.AllPredecessor), // DAG mode
)

// Non-streaming
out, err := r.Invoke(ctx, input)

// Streaming
stream, err := r.Stream(ctx, input)
defer stream.Close()
for {
    chunk, err := stream.Recv()
    if err == io.EOF { break }
    if err != nil { return err }
    process(chunk)
}

State Graph

Share state across nodes within a single request:

g := compose.NewGraph[string, string](compose.WithGenLocalState(func(ctx context.Context) *MyState {
    return &MyState{}
}))

g.AddLambdaNode("node", lambda,
    compose.WithStatePreHandler(func(ctx context.Context, in string, state *MyState) (string, error) {
        // read/write state before node executes
        return in, nil
    }),
    compose.WithStatePostHandler(func(ctx context.Context, out string, state *MyState) (string, error) {
        // read/write state after node executes
        return out, nil
    }),
)

Instructions to Agent

When helping users build orchestration:

  1. Default to Graph for most use cases. Use Chain only for simple linear pipelines. Use Workflow when field-level mapping between different struct types is needed.
  2. Always show the Compile step -- g.Compile(ctx) returns Runnable[I,O].
  3. Always close StreamReaders -- use defer sr.Close() immediately after obtaining a stream.
  4. Upstream output type must match downstream input type (or use WithInputKey/WithOutputKey for map conversion).
  5. For cyclic graphs (e.g., ReAct agent), use default Pregel mode (AnyPredecessor). For DAGs, set AllPredecessor.
  6. Use compose.WithCallbacks(handler) to inject logging/tracing at runtime.
  7. Use compose.WithCheckPointStore(store) with interrupt nodes for pause/resume workflows.

Reference Files

Read these files on-demand for detailed API, examples, and advanced usage:

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