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Asim Aslam ca87efef2f
goreleaser / goreleaser (push) Has been cancelled
feat(agent): expose run metadata + structured guardrail reasons to tool wrappers (#2981)
Closes the remaining ask in #2980 without adding a parallel callback API.
ToolResult.Refused tags a guardrail block with a reason (ai.RefusedLoop /
RefusedMaxSteps / RefusedApproval) so a wrapper can switch on it instead of
parsing the message. ai.RunInfo (RunID, ParentID, Agent) rides on the
context passed to the tool handler, giving wrappers run correlation and
delegation lineage. Before/after/retry/failure were already covered by
AgentWrapTool; this adds the metadata. Docs + tests included.

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-19 08:09:22 +01:00

349 行
8.7 KiB
Go

// Package agent provides the Agent abstraction for Go Micro.
//
// An Agent is a service with an LLM inside it. It registers a Chat
// RPC endpoint, discovers its assigned services' tools, and
// orchestrates them intelligently.
//
// agent := micro.NewAgent("task-mgr",
// micro.AgentServices("task"),
// micro.AgentPrompt("You manage tasks."),
// micro.AgentProvider("anthropic"),
// )
// agent.Run()
package agent
import (
"context"
"encoding/json"
"fmt"
"net/http"
"strings"
"sync"
"github.com/google/uuid"
pb "go-micro.dev/v6/agent/proto"
"go-micro.dev/v6/ai"
"go-micro.dev/v6/gateway/a2a"
"go-micro.dev/v6/server"
"go-micro.dev/v6/store"
_ "go-micro.dev/v6/ai/anthropic"
_ "go-micro.dev/v6/ai/atlascloud"
_ "go-micro.dev/v6/ai/gemini"
_ "go-micro.dev/v6/ai/groq"
_ "go-micro.dev/v6/ai/mistral"
_ "go-micro.dev/v6/ai/openai"
_ "go-micro.dev/v6/ai/together"
)
// Agent is the interface for an AI agent that manages services.
type Agent interface {
Name() string
Init(...Option)
Options() Options
Ask(ctx context.Context, message string) (*Response, error)
Run() error
Stop() error
String() string
}
// Response is what an agent returns from Chat.
type Response struct {
Reply string
ToolCalls []ai.ToolCall
Agent string
}
type agentImpl struct {
opts Options
model ai.Model
tools *ai.Tools
mem Memory
server server.Server
mu sync.Mutex
// ephemeral marks a short-lived sub-agent created by delegation.
// Ephemeral agents run with an isolated context: they load and
// persist no history, and have no built-in tools (so they cannot
// plan or re-delegate).
ephemeral bool
// steps counts tool executions in the current Ask, for MaxSteps.
steps int
// calls counts identical tool calls (name+args) in the current Ask,
// for LoopLimit.
calls map[string]int
// runID correlates the tool calls of the current Ask; parentRunID is
// the run that delegated to this one (set on ephemeral sub-agents).
// Both are surfaced to tool wrappers via ai.RunInfo on the context.
runID string
parentRunID string
}
// New creates a new Agent.
func New(opts ...Option) Agent {
return &agentImpl{
opts: newOptions(opts...),
}
}
// newEphemeral creates a short-lived sub-agent for a delegated subtask.
// It shares the parent's provider, model, and infrastructure but runs
// with an isolated context: it loads and persists no history and has no
// built-in tools (so it can neither plan nor re-delegate). Returns the
// concrete type because ephemeral is an internal construction detail,
// not a public option.
func newEphemeral(opts ...Option) *agentImpl {
return &agentImpl{
opts: newOptions(opts...),
ephemeral: true,
}
}
func (a *agentImpl) Name() string {
return a.opts.Name
}
func (a *agentImpl) Init(opts ...Option) {
for _, o := range opts {
o(&a.opts)
}
a.setup()
}
func (a *agentImpl) Options() Options {
return a.opts
}
func (a *agentImpl) String() string {
return "agent"
}
func (a *agentImpl) setup() {
var modelOpts []ai.Option
modelOpts = append(modelOpts, ai.WithAPIKey(a.opts.APIKey))
if a.opts.Model != "" {
modelOpts = append(modelOpts, ai.WithModel(a.opts.Model))
}
a.tools = ai.NewTools(a.opts.Registry, ai.ToolClient(a.opts.Client))
modelOpts = append(modelOpts, ai.WithToolHandler(a.toolHandler()))
a.model = ai.New(a.opts.Provider, modelOpts...)
// Memory is pluggable. Use the configured one, otherwise the default
// store-backed memory — except ephemeral sub-agents, which keep an
// isolated, non-persistent context.
switch {
case a.opts.Memory != nil:
a.mem = a.opts.Memory
case a.ephemeral:
a.mem = NewInMemory(a.opts.HistoryLimit)
default:
a.mem = NewMemory(a.stateStore(), "history", a.opts.HistoryLimit)
}
}
// stateStore returns the agent's own state store, scoped to its name so
// memory and plan live in their own table ("agent/{name}") rather than a
// shared global one. The scoped handle injects the database/table per
// operation without mutating the underlying store.
func (a *agentImpl) stateStore() store.Store {
s := a.opts.Store
if s == nil {
s = store.DefaultStore
}
return store.Scope(s, "agent", a.opts.Name)
}
// Ask sends a message and returns the agent's response.
// This is the programmatic API for direct use.
func (a *agentImpl) Ask(ctx context.Context, message string) (*Response, error) {
a.mu.Lock()
defer a.mu.Unlock()
if a.model == nil {
a.setup()
}
toolList, err := a.discoverTools()
if err != nil {
return nil, fmt.Errorf("discover tools: %w", err)
}
a.mem.Add("user", message)
a.steps = 0
a.calls = map[string]int{}
// Correlate this run's tool calls and surface lineage to wrappers.
a.runID = uuid.New().String()
ctx = ai.WithRunInfo(ctx, ai.RunInfo{
RunID: a.runID,
ParentID: a.parentRunID,
Agent: a.opts.Name,
})
resp, err := a.model.Generate(ctx, &ai.Request{
Prompt: message,
SystemPrompt: a.buildPrompt(),
Tools: toolList,
Messages: a.mem.Messages(),
})
if err != nil {
return nil, err
}
if resp.Reply != "" {
a.mem.Add("assistant", resp.Reply)
}
if resp.Answer != "" {
a.mem.Add("assistant", resp.Answer)
}
reply := resp.Reply
if resp.Answer != "" {
if reply != "" {
reply += "\n\n"
}
reply += resp.Answer
}
return &Response{
Reply: reply,
ToolCalls: resp.ToolCalls,
Agent: a.opts.Name,
}, nil
}
// Chat implements the proto AgentHandler interface for RPC.
// @example {"message": "What tasks are overdue?"}
func (a *agentImpl) Chat(ctx context.Context, req *pb.ChatRequest, rsp *pb.ChatResponse) error {
resp, err := a.Ask(ctx, req.Message)
if err != nil {
return err
}
rsp.Reply = resp.Reply
rsp.Agent = resp.Agent
for _, tc := range resp.ToolCalls {
input, _ := json.Marshal(tc.Input)
rsp.ToolCalls = append(rsp.ToolCalls, &pb.ToolCall{
Id: tc.ID,
Name: tc.Name,
Input: string(input),
Result: tc.Result,
})
}
return nil
}
// Run starts the agent as a service with a Chat RPC endpoint.
func (a *agentImpl) Run() error {
if a.model == nil {
a.setup()
}
a.server = server.NewServer(
server.Name(a.opts.Name),
server.Registry(a.opts.Registry),
server.Metadata(map[string]string{
"type": "agent",
"services": strings.Join(a.opts.Services, ","),
}),
)
pb.RegisterAgentHandler(a.server, a)
if err := a.server.Start(); err != nil {
return fmt.Errorf("failed to start agent: %w", err)
}
fmt.Printf("Agent %s registered (manages: %s)\n", a.opts.Name, strings.Join(a.opts.Services, ", "))
// Optionally serve the agent directly over the A2A protocol, calling
// Ask in-process — no separate gateway needed to be queried by URL.
if a.opts.A2AAddress != "" {
card := a2a.Card(a.opts.Name, "http://localhost"+a.opts.A2AAddress, "", a.opts.Services)
handler := a2a.NewAgentHandler(card, func(ctx context.Context, text string) (string, error) {
resp, err := a.Ask(ctx, text)
if err != nil {
return "", err
}
return resp.Reply, nil
})
go func() {
if err := http.ListenAndServe(a.opts.A2AAddress, handler); err != nil {
fmt.Printf("agent %s A2A server: %v\n", a.opts.Name, err)
}
}()
fmt.Printf("Agent %s serving A2A on %s\n", a.opts.Name, a.opts.A2AAddress)
}
ch := make(chan struct{})
<-ch
return nil
}
func (a *agentImpl) Stop() error {
if a.server != nil {
return a.server.Stop()
}
return nil
}
func (a *agentImpl) discoverTools() ([]ai.Tool, error) {
all, err := a.tools.Discover()
if err != nil {
return nil, err
}
var scoped []ai.Tool
for _, t := range all {
if strings.HasPrefix(t.OriginalName, a.opts.Name+".") {
continue
}
if len(a.opts.Services) == 0 {
scoped = append(scoped, t)
continue
}
for _, svc := range a.opts.Services {
if strings.HasPrefix(t.OriginalName, svc+".") {
scoped = append(scoped, t)
break
}
}
}
// Developer-registered custom tools (WithTool).
for i := range a.opts.tools {
scoped = append(scoped, a.opts.tools[i].def)
}
// Expose the agent's own capabilities (plan, delegate) as tools.
// Ephemeral sub-agents don't get them.
if !a.ephemeral {
scoped = append(scoped, builtinTools()...)
}
return scoped, nil
}
func (a *agentImpl) buildPrompt() string {
var base string
switch {
case a.opts.Prompt != "":
base = a.opts.Prompt
case len(a.opts.Services) > 0:
base = fmt.Sprintf("You are the %s agent. You manage these services: %s. Use the available tools to fulfill requests.",
a.opts.Name, strings.Join(a.opts.Services, ", "))
default:
base = fmt.Sprintf("You are the %s agent. Use the available tools to fulfill requests.", a.opts.Name)
}
// Keep the agent oriented: surface its saved plan, if any.
if !a.ephemeral {
if plan := a.loadPlan(); plan != "" {
base += "\n\nYour current plan (update it with the plan tool as you make progress):\n" + plan
}
}
return base
}