mirror of
https://github.com/mudler/LocalAI.git
synced 2026-09-29 09:35:02 -04:00
Nothing in the tree publishes, subscribes, queue-subscribes or requests through
the MessagingClient interface any more, so it is deleted rather than shrunk to
Broadcaster: two exported names for one method set in one package is an
invitation for the next author to pick whichever the surrounding file already
imported.
$ grep -rn 'messaging\.MessagingClient' --include='*.go' .
core/services/syncstate/syncstate.go:54: // It is messaging.Broadcaster rather than messaging.MessagingClient because
(one hit, a comment; no live referent. The naive grep in the plan also matches
prose and the local test type names fakeMessagingClient and
countingMessagingClient, so it can never be empty.)
*messaging.Client is shrunk to exactly Broadcaster plus its own lifecycle.
QueueSubscribe, QueueSubscribeReply, SubscribeReply, Request, Conn and the
package helpers QueueSubscribeJSON and RequestJSON go with it; none had a
production caller. Deleting the methods rather than only the call sites is what
makes putting a family back on this carrier a build error instead of a line that
compiles, publishes successfully, and is delivered onto a carrier the deployment
is being taken off. Conn is in that list because while it existed every other
name was one c.Conn().X() away; the flush-and-verdict that its real consumers
needed is now ConfirmRoundTrip, which keeps the NATS JWT permission specs armed.
The client, its options and its TLS plumbing are NOT deleted, and both processes
stay on the bus. agent.<name>.cancel is the one fan-out family that could not
move: its only subscriber is the agent worker, which has no database and cannot
join the PostgreSQL carrier at all, so a cancel published there would reach no
worker and be reported as sent. The frontend passes the client to
newFanoutBridges as its cancelCarrier and the worker subscribes on it, so
--nats-url stays required on agent-worker. Both go with the tunnel cancel verb.
The struct field is renamed Nats -> CancelCarrier to say what it is for, and
agentpool loses the messaging.Publisher it held only to be non-nil: it never
published on it, and it was gating whether a frontend runs agents distributed or
in an in-process pool. Retiring the bus would have flipped every replica back to
the in-process pool silently. The gate now reads the agent store, which is the
dependency the mode actually requires.
Also deletes four subject builders with no production publisher
(SubjectFineTuneProgress, SubjectFineTuneCancel, SubjectCacheInvalidateSkills,
SubjectCacheInvalidateCollection), the queue and request/reply halves of the
shared test double, and the e2e specs that were their only callers. Every
surviving subject is now pinned to its exact literal, because a subject is a
cross-version wire format and a rename that looks internal stops half a fleet
hearing the other half.
Docs: distributed-mode.md and cli-reference.md no longer claim NATS carries the
agent-worker job subjects, the frontend's cross-replica events, or an agent
worker's real work.
Assisted-by: Claude Opus 5 [claude-code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
1279 lines
40 KiB
Go
1279 lines
40 KiB
Go
package distributed_test
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import (
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net"
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"net/http"
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"sync"
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"sync/atomic"
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"time"
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"github.com/mudler/LocalAI/core/services/agents"
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"github.com/mudler/LocalAI/core/services/jobs"
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"github.com/mudler/LocalAI/core/services/messaging"
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"github.com/mudler/LocalAI/core/services/nodes"
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"github.com/mudler/cogito"
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openai "github.com/sashabaranov/go-openai"
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. "github.com/onsi/ginkgo/v2"
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. "github.com/onsi/gomega"
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pgdriver "gorm.io/driver/postgres"
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"gorm.io/gorm"
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"gorm.io/gorm/logger"
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)
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// mockLLM is a test LLM that returns a fixed response.
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type mockLLM struct {
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response string
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toolCall *openai.ToolCall // if set, first call returns a tool call
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callCount atomic.Int32
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}
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func (m *mockLLM) Ask(ctx context.Context, f cogito.Fragment) (cogito.Fragment, error) {
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m.callCount.Add(1)
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result := f.AddMessage(cogito.AssistantMessageRole, m.response)
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return result, nil
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}
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func (m *mockLLM) CreateChatCompletion(ctx context.Context, req openai.ChatCompletionRequest) (cogito.LLMReply, cogito.LLMUsage, error) {
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m.callCount.Add(1)
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msg := openai.ChatCompletionMessage{
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Role: "assistant",
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Content: m.response,
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}
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if m.toolCall != nil && m.callCount.Load() == 1 {
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// First call: return tool call
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msg.Content = ""
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msg.ToolCalls = []openai.ToolCall{*m.toolCall}
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}
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return cogito.LLMReply{
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ChatCompletionResponse: openai.ChatCompletionResponse{
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Choices: []openai.ChatCompletionChoice{{Message: msg}},
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},
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}, cogito.LLMUsage{}, nil
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}
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// mockSSEWriter collects SSE events for testing.
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type mockSSEWriter struct {
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mu sync.Mutex
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events []mockSSEEvent
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}
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type mockSSEEvent struct {
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Event string
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Data any
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}
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func (w *mockSSEWriter) SendEvent(event string, data any) {
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w.mu.Lock()
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defer w.mu.Unlock()
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w.events = append(w.events, mockSSEEvent{Event: event, Data: data})
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}
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func (w *mockSSEWriter) getEvents() []mockSSEEvent {
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w.mu.Lock()
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defer w.mu.Unlock()
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cp := make([]mockSSEEvent, len(w.events))
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copy(cp, w.events)
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return cp
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}
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// mockSSEPool always returns the same writer.
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type mockSSEPool struct {
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writer *mockSSEWriter
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}
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func (p *mockSSEPool) GetWriter(key string) agents.SSEWriter {
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return p.writer
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}
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// mockLLMWithCapture is a test LLM that captures the messages it receives.
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type mockLLMWithCapture struct {
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response string
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captureMessages func([]openai.ChatCompletionMessage)
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}
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func (m *mockLLMWithCapture) Ask(ctx context.Context, f cogito.Fragment) (cogito.Fragment, error) {
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return f.AddMessage(cogito.AssistantMessageRole, m.response), nil
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}
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func (m *mockLLMWithCapture) CreateChatCompletion(ctx context.Context, req openai.ChatCompletionRequest) (cogito.LLMReply, cogito.LLMUsage, error) {
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if m.captureMessages != nil {
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m.captureMessages(req.Messages)
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}
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msg := openai.ChatCompletionMessage{
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Role: "assistant",
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Content: m.response,
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}
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return cogito.LLMReply{
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ChatCompletionResponse: openai.ChatCompletionResponse{
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Choices: []openai.ChatCompletionChoice{{Message: msg}},
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},
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}, cogito.LLMUsage{}, nil
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}
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// staticSkillProviderTest provides skills for testing.
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type staticSkillProviderTest struct {
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skills []agents.SkillInfo
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}
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func (p *staticSkillProviderTest) ListSkills() ([]agents.SkillInfo, error) {
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return p.skills, nil
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}
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// startAgentMockLLMServer starts a mock OpenAI-compatible HTTP server that returns
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// the given response text. Supports both streaming and non-streaming requests.
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func startAgentMockLLMServer(responseText string) (string, func()) {
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GinkgoHelper()
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handler := http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path != "/v1/chat/completions" {
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http.NotFound(w, r)
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return
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}
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var req struct {
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Stream bool `json:"stream"`
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Model string `json:"model"`
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}
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data, _ := io.ReadAll(r.Body)
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json.Unmarshal(data, &req)
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if req.Stream {
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w.Header().Set("Content-Type", "text/event-stream")
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flusher, _ := w.(http.Flusher)
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chunk := map[string]any{
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"id": "chatcmpl-mock", "model": req.Model,
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"choices": []map[string]any{{
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"index": 0,
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"delta": map[string]any{"role": "assistant", "content": responseText},
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}},
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}
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d, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", d)
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if flusher != nil {
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flusher.Flush()
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}
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done := map[string]any{
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"id": "chatcmpl-mock-done", "model": req.Model,
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"choices": []map[string]any{{
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"index": 0, "delta": map[string]any{}, "finish_reason": "stop",
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}},
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}
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d, _ = json.Marshal(done)
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fmt.Fprintf(w, "data: %s\n\n", d)
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fmt.Fprintf(w, "data: [DONE]\n\n")
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if flusher != nil {
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flusher.Flush()
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}
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} else {
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w.Header().Set("Content-Type", "application/json")
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resp := map[string]any{
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"id": "chatcmpl-mock", "model": req.Model,
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"choices": []map[string]any{{
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"index": 0,
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"message": map[string]any{"role": "assistant", "content": responseText},
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"finish_reason": "stop",
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}},
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}
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json.NewEncoder(w).Encode(resp)
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}
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})
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listener, err := net.Listen("tcp", "127.0.0.1:0")
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Expect(err).ToNot(HaveOccurred())
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httpServer := &http.Server{Handler: handler}
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go httpServer.Serve(listener)
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url := fmt.Sprintf("http://%s", listener.Addr().String())
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shutdown := func() {
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ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
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defer cancel()
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httpServer.Shutdown(ctx)
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}
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return url, shutdown
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}
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// mockConfigProvider returns a fixed config.
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type mockConfigProvider struct {
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configs map[string]*agents.AgentConfig
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}
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func (p *mockConfigProvider) GetAgentConfig(userID, name string) (*agents.AgentConfig, error) {
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key := name
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if userID != "" {
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key = userID + ":" + name
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}
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if cfg, ok := p.configs[key]; ok {
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return cfg, nil
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}
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if cfg, ok := p.configs[name]; ok {
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return cfg, nil
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}
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return nil, fmt.Errorf("agent not found: %s", name)
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}
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var _ = Describe("Native Agent Executor", Label("Distributed", "AgentNative"), func() {
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var (
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infra *TestInfra
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db *gorm.DB
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store *agents.AgentStore
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)
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BeforeEach(func() {
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infra = SetupInfra("localai_agent_native_test")
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var err error
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db, err = gorm.Open(pgdriver.Open(infra.PGURL), &gorm.Config{
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Logger: logger.Default.LogMode(logger.Silent),
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})
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Expect(err).ToNot(HaveOccurred())
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store, err = agents.NewAgentStore(db)
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Expect(err).ToNot(HaveOccurred())
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// Also migrate BackendNode for registration tests
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Expect(db.AutoMigrate(&nodes.BackendNode{})).To(Succeed())
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})
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Context("ExecuteChat", func() {
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It("should execute a chat and deliver response via callbacks", func() {
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llm := &mockLLM{response: "Hello! I'm an AI assistant."}
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cfg := &agents.AgentConfig{
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Name: "test-agent",
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Model: "test-model",
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SystemPrompt: "You are helpful.",
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}
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var gotStatus []string
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var gotMessage string
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var gotSender string
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var mu sync.Mutex
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cb := agents.Callbacks{
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OnStatus: func(s string) {
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mu.Lock()
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gotStatus = append(gotStatus, s)
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mu.Unlock()
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},
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OnMessage: func(sender, content, id string) {
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mu.Lock()
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gotSender = sender
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gotMessage = content
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mu.Unlock()
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},
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}
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response, err := agents.ExecuteChatWithLLM(infra.Ctx, llm, cfg, "Hi there", cb)
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Expect(err).ToNot(HaveOccurred())
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Expect(response).To(ContainSubstring("AI assistant"))
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mu.Lock()
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defer mu.Unlock()
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Expect(gotStatus).To(ContainElement("processing"))
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Expect(gotStatus).To(ContainElement("completed"))
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Expect(gotSender).To(Equal("agent"))
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Expect(gotMessage).To(ContainSubstring("AI assistant"))
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})
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It("should return error when no model is configured", func() {
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cfg := &agents.AgentConfig{Name: "no-model"}
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_, err := agents.ExecuteChat(infra.Ctx, "http://localhost", "", cfg, "hello", agents.Callbacks{})
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Expect(err).To(HaveOccurred())
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Expect(err.Error()).To(ContainSubstring("no model configured"))
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})
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It("should respect context cancellation", func() {
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// Create a slow mock LLM
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slowLLM := &mockLLM{response: "slow response"}
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cfg := &agents.AgentConfig{
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Name: "cancel-test",
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Model: "test",
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}
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cancelCtx, cancel := context.WithCancel(infra.Ctx)
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cancel() // cancel immediately
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_, err := agents.ExecuteChatWithLLM(cancelCtx, slowLLM, cfg, "hello", agents.Callbacks{})
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// Cancelled context should produce an error
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Expect(err).To(HaveOccurred())
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Expect(err.Error()).To(Or(
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ContainSubstring("context canceled"),
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ContainSubstring("context deadline exceeded"),
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))
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})
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})
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Context("WorkerExecutor", func() {
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It("should dispatch chat via NATS and receive response", func() {
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bridge := agents.NewEventBridge(infra.NC, nil, "test-instance")
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configs := &mockConfigProvider{configs: map[string]*agents.AgentConfig{
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"test-agent": {
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Name: "test-agent",
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Model: "test-model",
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SystemPrompt: "Be helpful.",
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},
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}}
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// Subscribe to agent events to capture the response
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var receivedEvents []agents.AgentEvent
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var eventMu sync.Mutex
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sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("test-agent", "user1"), func(data []byte) {
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var evt agents.AgentEvent
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if json.Unmarshal(data, &evt) == nil {
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eventMu.Lock()
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receivedEvents = append(receivedEvents, evt)
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eventMu.Unlock()
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}
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})
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Expect(err).ToNot(HaveOccurred())
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defer sub.Unsubscribe()
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// The executor is handed one run by the frontend replica that
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// claimed it, over the control verb, and publishes everything it
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// produces onto the writer that replica is reading. Here that
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// writer is the bus itself, so the subscription above still sees
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// the same events on the same subject.
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executor := agents.NewWorkerExecutor(bridge, configs, "http://localhost:8080", "test-key")
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reply, err := executor.Execute(infra.Ctx, mustAgentJSON(agents.AgentChatEvent{
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AgentName: "test-agent",
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UserID: "user1",
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Message: "Hello",
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MessageID: "msg-test-001",
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Role: "user",
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}), infra.NC)
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Expect(err).ToNot(HaveOccurred(), "an error here is this worker failing to SERVE the verb, not the run failing")
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Expect(string(reply)).To(ContainSubstring("status"))
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// The run reaches no real LLM, so what it produces is a status the
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// frontend can show. What matters is that it travelled.
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Eventually(func() int {
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eventMu.Lock()
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defer eventMu.Unlock()
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return len(receivedEvents)
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}, "5s").Should(BeNumerically(">=", 1))
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eventMu.Lock()
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hasStatus := false
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for _, evt := range receivedEvents {
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if evt.EventType == "json_message_status" {
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hasStatus = true
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}
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}
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eventMu.Unlock()
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Expect(hasStatus).To(BeTrue(), "a status event should reach the subscriber")
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})
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It("should handle cancellation via EventBridge", func() {
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bridge := agents.NewEventBridge(infra.NC, nil, "cancel-test")
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var cancelled atomic.Bool
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bridge.RegisterCancel("test-msg-id", func() {
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cancelled.Store(true)
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})
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// Start cancel listener
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cancelSub, err := bridge.StartCancelListener()
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Expect(err).ToNot(HaveOccurred())
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defer cancelSub.Unsubscribe()
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FlushNATS(infra.NC)
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// Cancel the execution
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Expect(bridge.CancelExecution("test-agent", "user1", "test-msg-id")).To(Succeed())
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Eventually(func() bool { return cancelled.Load() }, "5s").Should(BeTrue())
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})
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It("should execute agent chat from enriched payload without ConfigProvider", func() {
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bridge := agents.NewEventBridge(infra.NC, nil, "enriched-test")
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// Executor with NO ConfigProvider (simulating DB-free worker)
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executor := agents.NewWorkerExecutor(bridge, nil, "http://localhost:8080", "test-key")
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|
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// Subscribe to events to verify processing
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var receivedEvents []agents.AgentEvent
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var eventMu sync.Mutex
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sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("enriched-agent", "user1"), func(data []byte) {
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var evt agents.AgentEvent
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if json.Unmarshal(data, &evt) == nil {
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eventMu.Lock()
|
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receivedEvents = append(receivedEvents, evt)
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eventMu.Unlock()
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}
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})
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Expect(err).ToNot(HaveOccurred())
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defer sub.Unsubscribe()
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FlushNATS(infra.NC)
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|
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// An enriched AgentChatEvent with embedded Config, exactly the body
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// the claim row carries.
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evt := agents.AgentChatEvent{
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AgentName: "enriched-agent",
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UserID: "user1",
|
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Message: "Hello from enriched payload",
|
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MessageID: "msg-enriched-001",
|
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Role: "user",
|
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Config: &agents.AgentConfig{
|
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Name: "enriched-agent",
|
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Model: "test-model",
|
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SystemPrompt: "Be helpful.",
|
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},
|
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}
|
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_, err = executor.Execute(infra.Ctx, mustAgentJSON(evt), infra.NC)
|
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Expect(err).ToNot(HaveOccurred())
|
|
|
|
// The executor should process this even without a ConfigProvider.
|
|
// It will fail at ExecuteChat (no real LLM), but it should at least
|
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// publish a processing status event before failing.
|
|
Eventually(func() int {
|
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eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
return len(receivedEvents)
|
|
}, "5s").Should(BeNumerically(">=", 1))
|
|
|
|
// Verify we got status events (processing or error — both prove the
|
|
// dispatcher accepted the enriched event without a ConfigProvider)
|
|
eventMu.Lock()
|
|
hasEvent := len(receivedEvents) > 0
|
|
eventMu.Unlock()
|
|
Expect(hasEvent).To(BeTrue(), "executor should process enriched event without ConfigProvider")
|
|
})
|
|
|
|
It("should marshal/unmarshal matching LocalAGI format", func() {
|
|
cfg := agents.AgentConfig{
|
|
Name: "test",
|
|
Model: "llama3",
|
|
SystemPrompt: "Be helpful",
|
|
MCPServers: []agents.MCPServer{{URL: "http://mcp.example.com", Token: "tok"}},
|
|
Actions: []agents.ActionsConfig{{Type: "search", Config: "{}"}},
|
|
EnableSkills: true,
|
|
MaxAttempts: 3,
|
|
}
|
|
|
|
data, err := json.Marshal(cfg)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
// Verify key field names match LocalAGI
|
|
var raw map[string]any
|
|
Expect(json.Unmarshal(data, &raw)).To(Succeed())
|
|
Expect(raw).To(HaveKey("name"))
|
|
Expect(raw).To(HaveKey("model"))
|
|
Expect(raw).To(HaveKey("system_prompt"))
|
|
Expect(raw).To(HaveKey("mcp_servers"))
|
|
Expect(raw).To(HaveKey("actions"))
|
|
Expect(raw).To(HaveKey("enable_skills"))
|
|
Expect(raw).To(HaveKey("max_attempts"))
|
|
|
|
// Round-trip
|
|
var cfg2 agents.AgentConfig
|
|
Expect(json.Unmarshal(data, &cfg2)).To(Succeed())
|
|
Expect(cfg2.Name).To(Equal("test"))
|
|
Expect(cfg2.Model).To(Equal("llama3"))
|
|
Expect(cfg2.MCPServers).To(HaveLen(1))
|
|
Expect(cfg2.EnableSkills).To(BeTrue())
|
|
})
|
|
|
|
It("should survive PostgreSQL round-trip", func() {
|
|
cfg := agents.AgentConfig{
|
|
Name: "db-test",
|
|
Model: "qwen",
|
|
SystemPrompt: "Hello world",
|
|
EnableSkills: true,
|
|
SelectedSkills: []string{"skill-a", "skill-b"},
|
|
}
|
|
|
|
configJSON, err := json.Marshal(cfg)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
// Save to DB
|
|
Expect(store.SaveConfig(&agents.AgentConfigRecord{
|
|
UserID: "u1",
|
|
Name: cfg.Name,
|
|
ConfigJSON: string(configJSON),
|
|
Status: "active",
|
|
})).To(Succeed())
|
|
|
|
// Load from DB
|
|
rec, err := store.GetConfig("u1", "db-test")
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
var loaded agents.AgentConfig
|
|
Expect(agents.ParseConfigJSON(rec.ConfigJSON, &loaded)).To(Succeed())
|
|
Expect(loaded.Name).To(Equal("db-test"))
|
|
Expect(loaded.Model).To(Equal("qwen"))
|
|
Expect(loaded.SelectedSkills).To(ConsistOf("skill-a", "skill-b"))
|
|
})
|
|
})
|
|
|
|
Context("Node Registration with NodeType", func() {
|
|
It("should store node_type for agent workers", func() {
|
|
registry, err := nodes.NewNodeRegistry(db)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
node := &nodes.BackendNode{
|
|
Name: "agent-worker-1",
|
|
NodeType: nodes.NodeTypeAgent,
|
|
Status: "healthy",
|
|
}
|
|
|
|
Expect(registry.Register(context.Background(), node, true)).To(Succeed())
|
|
|
|
// Verify node type is stored
|
|
loaded, err := registry.Get(context.Background(), node.ID)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(loaded.NodeType).To(Equal(nodes.NodeTypeAgent))
|
|
Expect(loaded.Name).To(Equal("agent-worker-1"))
|
|
})
|
|
|
|
It("should list both backend and agent workers", func() {
|
|
registry, err := nodes.NewNodeRegistry(db)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
backend := &nodes.BackendNode{
|
|
Name: "backend-1",
|
|
NodeType: nodes.NodeTypeBackend,
|
|
Address: "localhost:50051",
|
|
}
|
|
agent := &nodes.BackendNode{
|
|
Name: "agent-1",
|
|
NodeType: nodes.NodeTypeAgent,
|
|
}
|
|
|
|
Expect(registry.Register(context.Background(), backend, true)).To(Succeed())
|
|
Expect(registry.Register(context.Background(), agent, true)).To(Succeed())
|
|
|
|
allNodes, err := registry.List(context.Background())
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
var backendCount, agentCount int
|
|
for _, n := range allNodes {
|
|
switch n.NodeType {
|
|
case nodes.NodeTypeBackend:
|
|
backendCount++
|
|
case nodes.NodeTypeAgent:
|
|
agentCount++
|
|
}
|
|
}
|
|
Expect(backendCount).To(Equal(1))
|
|
Expect(agentCount).To(Equal(1))
|
|
})
|
|
})
|
|
|
|
Context("Full Distributed Chat Flow", func() {
|
|
It("should dispatch chat via NATS, execute, and publish response via EventBridge", func() {
|
|
bridge := agents.NewEventBridge(infra.NC, nil, "flow-test")
|
|
|
|
// Store agent config in PostgreSQL
|
|
cfg := agents.AgentConfig{
|
|
Name: "flow-agent",
|
|
Model: "test-model",
|
|
SystemPrompt: "You are a test agent.",
|
|
}
|
|
configJSON, err := json.Marshal(cfg)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(store.SaveConfig(&agents.AgentConfigRecord{
|
|
UserID: "user1",
|
|
Name: "flow-agent",
|
|
ConfigJSON: string(configJSON),
|
|
Status: "active",
|
|
})).To(Succeed())
|
|
|
|
// Subscribe to events to capture the full flow
|
|
var receivedEvents []agents.AgentEvent
|
|
var eventMu sync.Mutex
|
|
sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("flow-agent", "user1"), func(data []byte) {
|
|
var evt agents.AgentEvent
|
|
if json.Unmarshal(data, &evt) == nil {
|
|
eventMu.Lock()
|
|
receivedEvents = append(receivedEvents, evt)
|
|
eventMu.Unlock()
|
|
}
|
|
})
|
|
Expect(err).ToNot(HaveOccurred())
|
|
defer sub.Unsubscribe()
|
|
|
|
configs := &mockConfigProvider{configs: map[string]*agents.AgentConfig{
|
|
"flow-agent": &cfg,
|
|
}}
|
|
executor := agents.NewWorkerExecutor(bridge, configs, "http://localhost:8080", "test-key")
|
|
|
|
_, err = executor.Execute(infra.Ctx, mustAgentJSON(agents.AgentChatEvent{
|
|
AgentName: "flow-agent",
|
|
UserID: "user1",
|
|
Message: "Hello flow test",
|
|
MessageID: "msg-flow-001",
|
|
Role: "user",
|
|
}), infra.NC)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
Eventually(func() int {
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
return len(receivedEvents)
|
|
}, "5s").Should(BeNumerically(">=", 1))
|
|
|
|
eventMu.Lock()
|
|
var hasProcessing bool
|
|
for _, evt := range receivedEvents {
|
|
if evt.EventType == "json_message_status" {
|
|
hasProcessing = true
|
|
}
|
|
}
|
|
eventMu.Unlock()
|
|
Expect(hasProcessing).To(BeTrue(), "expected a status event")
|
|
})
|
|
})
|
|
|
|
Context("Background Agent Execution", func() {
|
|
It("should use inner monologue template with permanent goal for system role", func() {
|
|
// ExecuteBackgroundRunWithLLM should substitute {{.Goal}} in the inner monologue template
|
|
cfg := &agents.AgentConfig{
|
|
Name: "bg-agent",
|
|
Model: "test-model",
|
|
PermanentGoal: "Monitor system health and report issues",
|
|
InnerMonologueTemplate: "Your goal is: {{.Goal}}. What should you do next?",
|
|
SystemPrompt: "You are an autonomous agent.",
|
|
}
|
|
|
|
llm := &mockLLM{response: "I will monitor system health."}
|
|
cb := agents.Callbacks{}
|
|
|
|
response, err := agents.ExecuteBackgroundRunWithLLM(infra.Ctx, llm, cfg, cb)
|
|
// ExecuteBackgroundRunWithLLM should complete without panicking.
|
|
// The mock LLM always succeeds, so we expect no error.
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(len(response)).To(BeNumerically(">=", 0))
|
|
})
|
|
|
|
It("should use default inner monologue when template is empty", func() {
|
|
cfg := &agents.AgentConfig{
|
|
Name: "bg-default",
|
|
Model: "test-model",
|
|
PermanentGoal: "Keep things running",
|
|
SystemPrompt: "You are helpful.",
|
|
}
|
|
|
|
// ExecuteBackgroundRun with empty template should use DefaultInnerMonologueTemplate
|
|
Expect(agents.DefaultInnerMonologueTemplate).To(ContainSubstring("{{.Goal}}"))
|
|
|
|
// The function should not panic with empty template
|
|
_, _ = agents.ExecuteBackgroundRun(infra.Ctx, "http://localhost:8080", "key", cfg, agents.Callbacks{})
|
|
})
|
|
|
|
It("should dispatch background run via NATS with system role", func() {
|
|
bridge := agents.NewEventBridge(infra.NC, nil, "bg-test")
|
|
|
|
cfg := agents.AgentConfig{
|
|
Name: "bg-agent",
|
|
Model: "test-model",
|
|
PermanentGoal: "Monitor system health",
|
|
SystemPrompt: "You are a monitoring agent.",
|
|
}
|
|
|
|
configs := &mockConfigProvider{configs: map[string]*agents.AgentConfig{
|
|
"bg-agent": &cfg,
|
|
}}
|
|
|
|
// Subscribe to capture events
|
|
var receivedEvents []agents.AgentEvent
|
|
var eventMu sync.Mutex
|
|
sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("bg-agent", "system"), func(data []byte) {
|
|
var evt agents.AgentEvent
|
|
if json.Unmarshal(data, &evt) == nil {
|
|
eventMu.Lock()
|
|
receivedEvents = append(receivedEvents, evt)
|
|
eventMu.Unlock()
|
|
}
|
|
})
|
|
Expect(err).ToNot(HaveOccurred())
|
|
defer sub.Unsubscribe()
|
|
|
|
executor := agents.NewWorkerExecutor(bridge, configs, "http://localhost:8080", "test-key")
|
|
|
|
// A background/system role run, the shape the scheduler enqueues.
|
|
evt := agents.AgentChatEvent{
|
|
AgentName: "bg-agent",
|
|
UserID: "system",
|
|
Message: "",
|
|
MessageID: "bg-1",
|
|
Role: "system",
|
|
}
|
|
_, err = executor.Execute(infra.Ctx, mustAgentJSON(evt), infra.NC)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
// Should receive at least a processing status
|
|
Eventually(func() int {
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
return len(receivedEvents)
|
|
}, "10s").Should(BeNumerically(">=", 1))
|
|
})
|
|
})
|
|
|
|
Context("Skills Injection", func() {
|
|
It("should render skills prompt with default template", func() {
|
|
skills := []agents.SkillInfo{
|
|
{Name: "web_search", Description: "Search the web for information"},
|
|
{Name: "code_review", Description: "Review code for bugs"},
|
|
}
|
|
result := agents.RenderSkillsPrompt(skills, "")
|
|
Expect(result).To(ContainSubstring("web_search"))
|
|
Expect(result).To(ContainSubstring("code_review"))
|
|
Expect(result).To(ContainSubstring("available_skills"))
|
|
})
|
|
|
|
It("should render skills with custom template", func() {
|
|
skills := []agents.SkillInfo{
|
|
{Name: "tool1", Description: "First tool"},
|
|
}
|
|
custom := "Tools: {{range .Skills}}{{.Name}} - {{.Description}}; {{end}}"
|
|
result := agents.RenderSkillsPrompt(skills, custom)
|
|
Expect(result).To(ContainSubstring("tool1 - First tool"))
|
|
})
|
|
|
|
It("should filter skills by selected_skills", func() {
|
|
all := []agents.SkillInfo{
|
|
{Name: "a", Description: "skill a"},
|
|
{Name: "b", Description: "skill b"},
|
|
{Name: "c", Description: "skill c"},
|
|
}
|
|
|
|
filtered := agents.FilterSkills(all, []string{"a", "c"})
|
|
Expect(filtered).To(HaveLen(2))
|
|
names := []string{filtered[0].Name, filtered[1].Name}
|
|
Expect(names).To(ConsistOf("a", "c"))
|
|
})
|
|
|
|
It("should return all skills when selected_skills is empty", func() {
|
|
all := []agents.SkillInfo{
|
|
{Name: "x", Description: "skill x"},
|
|
{Name: "y", Description: "skill y"},
|
|
}
|
|
filtered := agents.FilterSkills(all, nil)
|
|
Expect(filtered).To(HaveLen(2))
|
|
})
|
|
|
|
It("should render full content when Content field is set", func() {
|
|
skills := []agents.SkillInfo{
|
|
{Name: "search", Description: "Search the web", Content: "You are a web search skill. Given a query, search the web and return results."},
|
|
}
|
|
result := agents.RenderSkillsPrompt(skills, "")
|
|
Expect(result).To(ContainSubstring("<content>"))
|
|
Expect(result).To(ContainSubstring("You are a web search skill"))
|
|
Expect(result).NotTo(ContainSubstring("<description>"))
|
|
})
|
|
|
|
It("should fall back to description when Content is empty", func() {
|
|
skills := []agents.SkillInfo{
|
|
{Name: "search", Description: "Search the web"},
|
|
}
|
|
result := agents.RenderSkillsPrompt(skills, "")
|
|
Expect(result).To(ContainSubstring("<description>"))
|
|
Expect(result).To(ContainSubstring("Search the web"))
|
|
Expect(result).NotTo(ContainSubstring("<content>"))
|
|
})
|
|
})
|
|
|
|
Context("Agent Scheduler", func() {
|
|
It("should detect due standalone agents and publish events", func() {
|
|
// Create an agent with standalone_job=true and periodic_runs=1s
|
|
cfg := agents.AgentConfig{
|
|
Name: "cron-agent",
|
|
Model: "test-model",
|
|
StandaloneJob: true,
|
|
PeriodicRuns: "1s",
|
|
SystemPrompt: "You are autonomous.",
|
|
}
|
|
configJSON, _ := json.Marshal(cfg)
|
|
Expect(store.SaveConfig(&agents.AgentConfigRecord{
|
|
UserID: "u1",
|
|
Name: "cron-agent",
|
|
ConfigJSON: string(configJSON),
|
|
Status: "active",
|
|
// LastRunAt is nil — never run, so it's due immediately
|
|
})).To(Succeed())
|
|
|
|
// The scheduler writes a claim row rather than publishing. A
|
|
// publish onto a queue group nobody had joined succeeded and the
|
|
// background run simply never happened, with nothing recording that
|
|
// it had been due.
|
|
Expect(jobs.MigrateClaims(infra.Ctx, db)).To(Succeed())
|
|
scheduler := agents.NewAgentScheduler(db, store)
|
|
|
|
schedCtx, schedCancel := context.WithCancel(infra.Ctx)
|
|
defer schedCancel()
|
|
go scheduler.Start(schedCtx)
|
|
|
|
var rows []jobs.WorkClaim
|
|
Eventually(func() int {
|
|
rows = nil
|
|
Expect(db.Where("kind = ?", string(jobs.ClaimKindAgentRun)).Find(&rows).Error).To(Succeed())
|
|
return len(rows)
|
|
}, "20s").Should(BeNumerically(">=", 1))
|
|
|
|
var evt agents.AgentChatEvent
|
|
Expect(json.Unmarshal(rows[0].Payload, &evt)).To(Succeed())
|
|
|
|
Expect(evt.AgentName).To(Equal("cron-agent"))
|
|
Expect(evt.UserID).To(Equal("u1"))
|
|
Expect(evt.Role).To(Equal("system"))
|
|
|
|
// Verify enriched payload: config should be embedded in the event
|
|
Expect(evt.Config).ToNot(BeNil(), "scheduler should embed config in the event")
|
|
Expect(evt.Config.Model).To(Equal("test-model"))
|
|
Expect(evt.Config.StandaloneJob).To(BeTrue())
|
|
})
|
|
|
|
It("should skip agents without standalone_job", func() {
|
|
cfg := agents.AgentConfig{
|
|
Name: "no-cron-agent",
|
|
Model: "test-model",
|
|
StandaloneJob: false,
|
|
}
|
|
configJSON, _ := json.Marshal(cfg)
|
|
Expect(store.SaveConfig(&agents.AgentConfigRecord{
|
|
UserID: "u1",
|
|
Name: "no-cron-agent",
|
|
ConfigJSON: string(configJSON),
|
|
Status: "active",
|
|
})).To(Succeed())
|
|
|
|
Expect(agents.IsDueExported(nil, 10*time.Minute)).To(BeTrue(), "nil lastRun should be due")
|
|
|
|
// But the scheduler skips non-standalone agents
|
|
// (tested implicitly via the scheduler — it won't publish for this agent)
|
|
})
|
|
|
|
It("should not re-run before interval elapses", func() {
|
|
now := time.Now()
|
|
Expect(agents.IsDueExported(&now, 10*time.Minute)).To(BeFalse(), "just ran should not be due")
|
|
|
|
past := time.Now().Add(-11 * time.Minute)
|
|
Expect(agents.IsDueExported(&past, 10*time.Minute)).To(BeTrue(), "11m ago with 10m interval should be due")
|
|
})
|
|
})
|
|
|
|
Context("Agent Chat with Tool Calls and Skills", func() {
|
|
It("should execute agent chat where LLM calls request_skill tool", func() {
|
|
// Configure mockLLM:
|
|
// - First call: return tool_call for request_skill with skill_name="web_search"
|
|
// - Second call: return final response incorporating skill content
|
|
llm := &mockLLM{
|
|
response: "Based on the web search skill, here is the information you need.",
|
|
toolCall: &openai.ToolCall{
|
|
ID: "call_001",
|
|
Type: openai.ToolTypeFunction,
|
|
Function: openai.FunctionCall{
|
|
Name: "request_skill",
|
|
Arguments: `{"skill_name":"web_search"}`,
|
|
},
|
|
},
|
|
}
|
|
|
|
skills := []agents.SkillInfo{
|
|
{Name: "web_search", Description: "Search the web for information", Content: "You are a web search skill. Query external sources and return results."},
|
|
{Name: "code_review", Description: "Review code for bugs"},
|
|
}
|
|
|
|
cfg := &agents.AgentConfig{
|
|
Name: "skill-tool-agent",
|
|
Model: "test-model",
|
|
SystemPrompt: "You are helpful.",
|
|
EnableSkills: true,
|
|
SkillsMode: agents.SkillsModeTools,
|
|
SelectedSkills: []string{"web_search"},
|
|
MaxIterations: 1,
|
|
}
|
|
|
|
var statuses []string
|
|
var finalMessage string
|
|
var toolCalls []string
|
|
var toolResults []string
|
|
var mu sync.Mutex
|
|
|
|
cb := agents.Callbacks{
|
|
OnStatus: func(s string) {
|
|
mu.Lock()
|
|
statuses = append(statuses, s)
|
|
mu.Unlock()
|
|
},
|
|
OnMessage: func(sender, content, id string) {
|
|
mu.Lock()
|
|
if sender == "agent" {
|
|
finalMessage = content
|
|
}
|
|
mu.Unlock()
|
|
},
|
|
OnToolCall: func(name, args string) {
|
|
mu.Lock()
|
|
toolCalls = append(toolCalls, name)
|
|
mu.Unlock()
|
|
},
|
|
OnToolResult: func(name, result string) {
|
|
mu.Lock()
|
|
toolResults = append(toolResults, name+": "+result)
|
|
mu.Unlock()
|
|
},
|
|
}
|
|
|
|
opts := agents.ExecuteChatOpts{
|
|
SkillProvider: &staticSkillProviderTest{skills: skills},
|
|
}
|
|
|
|
response, err := agents.ExecuteChatWithLLM(infra.Ctx, llm, cfg, "Find me info about Go", cb, opts)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(response).To(ContainSubstring("web search skill"))
|
|
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
Expect(statuses).To(ContainElement("processing"))
|
|
Expect(statuses).To(ContainElement("completed"))
|
|
Expect(finalMessage).To(ContainSubstring("web search skill"))
|
|
// Verify the tool was called
|
|
Expect(toolCalls).To(ContainElement("request_skill"))
|
|
// Verify tool result contains skill content
|
|
Expect(toolResults).To(HaveLen(1))
|
|
Expect(toolResults[0]).To(ContainSubstring("web_search"))
|
|
})
|
|
|
|
It("should inject skills into system prompt in prompt mode", func() {
|
|
// In prompt mode, skills are injected into the system prompt.
|
|
// The LLM should see the skill content in the system prompt.
|
|
var receivedMessages []openai.ChatCompletionMessage
|
|
llm := &mockLLMWithCapture{
|
|
response: "I see the skill content in my prompt.",
|
|
captureMessages: func(msgs []openai.ChatCompletionMessage) {
|
|
receivedMessages = msgs
|
|
},
|
|
}
|
|
|
|
skills := []agents.SkillInfo{
|
|
{Name: "data_analysis", Description: "Analyze data", Content: "You are a data analysis skill. Use pandas and numpy."},
|
|
}
|
|
|
|
cfg := &agents.AgentConfig{
|
|
Name: "prompt-skill-agent",
|
|
Model: "test-model",
|
|
SystemPrompt: "You are helpful.",
|
|
EnableSkills: true,
|
|
SkillsMode: agents.SkillsModePrompt,
|
|
}
|
|
|
|
opts := agents.ExecuteChatOpts{
|
|
SkillProvider: &staticSkillProviderTest{skills: skills},
|
|
}
|
|
|
|
_, err := agents.ExecuteChatWithLLM(infra.Ctx, llm, cfg, "Analyze this data", agents.Callbacks{}, opts)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
|
|
// Verify system prompt contains skill content
|
|
Expect(receivedMessages).ToNot(BeEmpty())
|
|
systemMsg := receivedMessages[0]
|
|
Expect(systemMsg.Role).To(Equal("system"))
|
|
Expect(systemMsg.Content).To(ContainSubstring("data_analysis"))
|
|
Expect(systemMsg.Content).To(ContainSubstring("pandas and numpy"))
|
|
})
|
|
})
|
|
|
|
Context("Full Distributed Agent Execution via NATS with Mock LLM Server", func() {
|
|
It("should dispatch chat via NATS, execute on worker with mock LLM, and publish response via EventBridge", func() {
|
|
// Start mock LLM HTTP server
|
|
llmURL, llmShutdown := startAgentMockLLMServer("I found the answer using my skills.")
|
|
defer llmShutdown()
|
|
|
|
bridge := agents.NewEventBridge(infra.NC, nil, "full-e2e-test")
|
|
|
|
// Subscribe to agent events
|
|
var receivedEvents []agents.AgentEvent
|
|
var eventMu sync.Mutex
|
|
sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("e2e-agent", "user1"), func(data []byte) {
|
|
var evt agents.AgentEvent
|
|
if json.Unmarshal(data, &evt) == nil {
|
|
eventMu.Lock()
|
|
receivedEvents = append(receivedEvents, evt)
|
|
eventMu.Unlock()
|
|
}
|
|
})
|
|
Expect(err).ToNot(HaveOccurred())
|
|
defer sub.Unsubscribe()
|
|
|
|
// Point the executor at our mock LLM server
|
|
executor := agents.NewWorkerExecutor(bridge, nil, llmURL, "test-key")
|
|
|
|
FlushNATS(infra.NC)
|
|
|
|
// The enriched event with skills, as the claim row carries it
|
|
evt := agents.AgentChatEvent{
|
|
AgentName: "e2e-agent",
|
|
UserID: "user1",
|
|
Message: "Hello, use your skills",
|
|
MessageID: "msg-e2e-001",
|
|
Role: "user",
|
|
Config: &agents.AgentConfig{
|
|
Name: "e2e-agent",
|
|
Model: "test-model",
|
|
SystemPrompt: "You are helpful.",
|
|
EnableSkills: true,
|
|
SkillsMode: agents.SkillsModePrompt,
|
|
},
|
|
Skills: []agents.SkillInfo{
|
|
{Name: "search", Description: "Search the web", Content: "Full search skill content here"},
|
|
},
|
|
}
|
|
reply, err := executor.Execute(infra.Ctx, mustAgentJSON(evt), infra.NC)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
// A run that reached a conclusion is this worker's own answer, and
|
|
// it travels on the response body rather than only as a publish.
|
|
Expect(string(reply)).To(ContainSubstring(`"status":"completed"`))
|
|
|
|
// Wait for the full execution: processing + agent response + completed
|
|
Eventually(func() int {
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
return len(receivedEvents)
|
|
}, "15s").Should(BeNumerically(">=", 3))
|
|
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
|
|
var hasAgentMessage, hasCompleted bool
|
|
for _, evt := range receivedEvents {
|
|
if evt.EventType == "json_message" && evt.Sender == "agent" {
|
|
hasAgentMessage = true
|
|
Expect(evt.Content).To(ContainSubstring("found the answer"))
|
|
}
|
|
if evt.EventType == "json_message_status" && evt.Metadata != "" {
|
|
var meta map[string]string
|
|
json.Unmarshal([]byte(evt.Metadata), &meta)
|
|
if meta["status"] == "completed" {
|
|
hasCompleted = true
|
|
}
|
|
}
|
|
}
|
|
Expect(hasAgentMessage).To(BeTrue(), "should receive agent response message via EventBridge")
|
|
Expect(hasCompleted).To(BeTrue(), "should receive completed status via EventBridge")
|
|
})
|
|
|
|
It("should execute background agent run via NATS dispatcher with mock LLM", func() {
|
|
// Start mock LLM HTTP server
|
|
llmURL, llmShutdown := startAgentMockLLMServer("All systems operational. No issues detected.")
|
|
defer llmShutdown()
|
|
|
|
bridge := agents.NewEventBridge(infra.NC, nil, "bg-e2e-test")
|
|
|
|
// Subscribe to agent events
|
|
var receivedEvents []agents.AgentEvent
|
|
var eventMu sync.Mutex
|
|
sub, err := infra.NC.Subscribe(messaging.SubjectAgentEvents("bg-e2e-agent", "system"), func(data []byte) {
|
|
var evt agents.AgentEvent
|
|
if json.Unmarshal(data, &evt) == nil {
|
|
eventMu.Lock()
|
|
receivedEvents = append(receivedEvents, evt)
|
|
eventMu.Unlock()
|
|
}
|
|
})
|
|
Expect(err).ToNot(HaveOccurred())
|
|
defer sub.Unsubscribe()
|
|
|
|
executor := agents.NewWorkerExecutor(bridge, nil, llmURL, "test-key")
|
|
|
|
FlushNATS(infra.NC)
|
|
|
|
// A system-role run (background/autonomous)
|
|
evt := agents.AgentChatEvent{
|
|
AgentName: "bg-e2e-agent",
|
|
UserID: "system",
|
|
Message: "",
|
|
MessageID: "msg-bg-e2e-001",
|
|
Role: "system",
|
|
Config: &agents.AgentConfig{
|
|
Name: "bg-e2e-agent",
|
|
Model: "test-model",
|
|
PermanentGoal: "Monitor all services and report status",
|
|
SystemPrompt: "You are an autonomous monitoring agent.",
|
|
InnerMonologueTemplate: "Your goal is: {{.Goal}}. What should you do?",
|
|
},
|
|
}
|
|
reply, err := executor.Execute(infra.Ctx, mustAgentJSON(evt), infra.NC)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(string(reply)).To(ContainSubstring(`"status":"completed"`))
|
|
|
|
// Wait for agent response
|
|
Eventually(func() int {
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
return len(receivedEvents)
|
|
}, "15s").Should(BeNumerically(">=", 2))
|
|
|
|
eventMu.Lock()
|
|
defer eventMu.Unlock()
|
|
|
|
var hasAgentMessage, hasCompleted bool
|
|
for _, evt := range receivedEvents {
|
|
if evt.EventType == "json_message" && evt.Sender == "agent" {
|
|
hasAgentMessage = true
|
|
Expect(evt.Content).To(ContainSubstring("systems operational"))
|
|
}
|
|
if evt.EventType == "json_message_status" && evt.Metadata != "" {
|
|
var meta map[string]string
|
|
json.Unmarshal([]byte(evt.Metadata), &meta)
|
|
if meta["status"] == "completed" {
|
|
hasCompleted = true
|
|
}
|
|
}
|
|
}
|
|
Expect(hasAgentMessage).To(BeTrue(), "background agent should produce a response via EventBridge")
|
|
Expect(hasCompleted).To(BeTrue(), "background agent should complete")
|
|
})
|
|
})
|
|
|
|
Context("Background Agent Execution with Mock LLM", func() {
|
|
It("should execute background run with mock LLM and verify goal in prompt", func() {
|
|
var receivedMessages []openai.ChatCompletionMessage
|
|
llm := &mockLLMWithCapture{
|
|
response: "System health is nominal. All services running.",
|
|
captureMessages: func(msgs []openai.ChatCompletionMessage) {
|
|
receivedMessages = msgs
|
|
},
|
|
}
|
|
|
|
cfg := &agents.AgentConfig{
|
|
Name: "bg-llm-agent",
|
|
Model: "test-model",
|
|
PermanentGoal: "Monitor system health and report issues",
|
|
SystemPrompt: "You are an autonomous monitoring agent.",
|
|
}
|
|
|
|
var statuses []string
|
|
var gotMessage string
|
|
var mu sync.Mutex
|
|
|
|
cb := agents.Callbacks{
|
|
OnStatus: func(s string) {
|
|
mu.Lock()
|
|
statuses = append(statuses, s)
|
|
mu.Unlock()
|
|
},
|
|
OnMessage: func(sender, content, id string) {
|
|
mu.Lock()
|
|
if sender == "agent" {
|
|
gotMessage = content
|
|
}
|
|
mu.Unlock()
|
|
},
|
|
}
|
|
|
|
response, err := agents.ExecuteBackgroundRunWithLLM(infra.Ctx, llm, cfg, cb)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(response).To(ContainSubstring("System health"))
|
|
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
Expect(statuses).To(ContainElement("processing"))
|
|
Expect(statuses).To(ContainElement("completed"))
|
|
Expect(gotMessage).To(ContainSubstring("System health"))
|
|
|
|
// Verify the inner monologue template was substituted with the goal
|
|
Expect(receivedMessages).To(HaveLen(2)) // system + user (inner monologue)
|
|
userMsg := receivedMessages[1]
|
|
Expect(userMsg.Role).To(Equal("user"))
|
|
Expect(userMsg.Content).To(ContainSubstring("Monitor system health and report issues"))
|
|
})
|
|
|
|
It("should execute background run with skills", func() {
|
|
var receivedMessages []openai.ChatCompletionMessage
|
|
llm := &mockLLMWithCapture{
|
|
response: "Executed monitoring skill successfully.",
|
|
captureMessages: func(msgs []openai.ChatCompletionMessage) {
|
|
receivedMessages = msgs
|
|
},
|
|
}
|
|
|
|
cfg := &agents.AgentConfig{
|
|
Name: "bg-skill-agent",
|
|
Model: "test-model",
|
|
PermanentGoal: "Check service status",
|
|
SystemPrompt: "You are a monitoring agent.",
|
|
EnableSkills: true,
|
|
SkillsMode: agents.SkillsModePrompt,
|
|
}
|
|
|
|
skills := []agents.SkillInfo{
|
|
{Name: "health_check", Description: "Check service health", Content: "Run health checks on all services."},
|
|
}
|
|
|
|
opts := agents.ExecuteChatOpts{
|
|
SkillProvider: &staticSkillProviderTest{skills: skills},
|
|
}
|
|
|
|
response, err := agents.ExecuteBackgroundRunWithLLM(infra.Ctx, llm, cfg, agents.Callbacks{}, opts)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
Expect(response).To(ContainSubstring("monitoring skill"))
|
|
|
|
// Verify skills were injected into system prompt
|
|
Expect(receivedMessages).ToNot(BeEmpty())
|
|
systemMsg := receivedMessages[0]
|
|
Expect(systemMsg.Content).To(ContainSubstring("health_check"))
|
|
Expect(systemMsg.Content).To(ContainSubstring("Run health checks"))
|
|
})
|
|
})
|
|
|
|
Context("Config Metadata", func() {
|
|
It("should return all expected sections", func() {
|
|
meta := agents.DefaultConfigMeta()
|
|
Expect(meta.Fields).ToNot(BeEmpty())
|
|
|
|
sections := map[string]bool{}
|
|
for _, f := range meta.Fields {
|
|
sections[f.Tags.Section] = true
|
|
}
|
|
Expect(sections).To(HaveKey("BasicInfo"))
|
|
Expect(sections).To(HaveKey("ModelSettings"))
|
|
Expect(sections).To(HaveKey("MemorySettings"))
|
|
Expect(sections).To(HaveKey("PromptsGoals"))
|
|
Expect(sections).To(HaveKey("AdvancedSettings"))
|
|
Expect(sections).To(HaveKey("MCP"))
|
|
})
|
|
|
|
It("should include key fields", func() {
|
|
meta := agents.DefaultConfigMeta()
|
|
fieldNames := map[string]bool{}
|
|
for _, f := range meta.Fields {
|
|
fieldNames[f.Name] = true
|
|
}
|
|
Expect(fieldNames).To(HaveKey("name"))
|
|
Expect(fieldNames).To(HaveKey("model"))
|
|
Expect(fieldNames).To(HaveKey("system_prompt"))
|
|
Expect(fieldNames).To(HaveKey("enable_kb"))
|
|
Expect(fieldNames).To(HaveKey("kb_mode"))
|
|
Expect(fieldNames).To(HaveKey("enable_skills"))
|
|
Expect(fieldNames).To(HaveKey("mcp_stdio_servers"))
|
|
Expect(fieldNames).To(HaveKey("permanent_goal"))
|
|
})
|
|
})
|
|
})
|
|
|
|
// mustAgentJSON encodes one agent chat event as the control verb's request
|
|
// body, which is byte for byte what the claim row carries.
|
|
func mustAgentJSON(evt agents.AgentChatEvent) json.RawMessage {
|
|
GinkgoHelper()
|
|
raw, err := json.Marshal(evt)
|
|
Expect(err).ToNot(HaveOccurred())
|
|
return raw
|
|
}
|