Files
mudler--localai/pkg/grpc/integration_toolcalls_test.go
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chore: import upstream snapshot with attribution
2026-07-13 13:12:26 +08:00

148 lines
4.4 KiB
Go

package grpc
import (
"context"
"strings"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
// toolCallStreamer simulates what a cloud-proxy translate backend
// emits: a sequence of *pb.Reply chunks carrying content + tool_call
// deltas + final usage tokens. The replies are sent in the same order
// and shape the cloud-proxy OpenAI translator produces.
type toolCallStreamer struct {
base.SingleThread
}
func (*toolCallStreamer) Predict(*pb.PredictOptions) (string, error) {
return "", nil
}
func (*toolCallStreamer) PredictStream(*pb.PredictOptions, chan string) error {
return nil
}
func (*toolCallStreamer) PredictRich(*pb.PredictOptions) (*pb.Reply, error) {
return &pb.Reply{
Message: []byte("done"),
PromptTokens: 11,
Tokens: 4,
ChatDeltas: []*pb.ChatDelta{{
ToolCalls: []*pb.ToolCallDelta{{
Index: 0, Id: "call_finalize", Name: "submit", Arguments: `{"ok":true}`,
}},
}},
}, nil
}
func (*toolCallStreamer) PredictStreamRich(_ *pb.PredictOptions, out chan<- *pb.Reply) error {
// Chunk 1: opening text delta.
out <- &pb.Reply{
Message: []byte("Looking up "),
ChatDeltas: []*pb.ChatDelta{{Content: "Looking up "}},
}
// Chunk 2: tool call announcement (id + name).
out <- &pb.Reply{
ChatDeltas: []*pb.ChatDelta{{
ToolCalls: []*pb.ToolCallDelta{{
Index: 0, Id: "call_x", Name: "search",
}},
}},
}
// Chunks 3-4: argument fragments (consumer concatenates by index).
out <- &pb.Reply{
ChatDeltas: []*pb.ChatDelta{{
ToolCalls: []*pb.ToolCallDelta{{
Index: 0, Arguments: `{"q":"`,
}},
}},
}
out <- &pb.Reply{
ChatDeltas: []*pb.ChatDelta{{
ToolCalls: []*pb.ToolCallDelta{{
Index: 0, Arguments: `weather"}`,
}},
}},
}
// Chunk 5: usage tokens (final chunk pattern from OpenAI stream).
out <- &pb.Reply{Tokens: 17}
return nil
}
var _ AIModelRich = &toolCallStreamer{}
var _ = Describe("Cloud-proxy translate-mode integration (gRPC + tool calls)", func() {
// This test simulates what the OpenAI chat endpoint does after
// ModelInference returns: it walks the per-chunk TokenUsage.ChatDeltas
// and assembles tool calls indexed by ToolCallDelta.Index. Verifies
// that the rich gRPC path delivers everything the consumer needs.
It("delivers tool-call deltas through PredictStream end-to-end", func() {
addr := "test://translate-integration-stream"
Provide(addr, &toolCallStreamer{})
c := NewClient(addr, true, nil, false)
type accumulator struct {
text strings.Builder
toolID string
name string
args strings.Builder
tokens int32
}
var acc accumulator
err := c.PredictStream(context.Background(), &pb.PredictOptions{}, func(reply *pb.Reply) {
if msg := reply.GetMessage(); len(msg) > 0 {
acc.text.Write(msg)
}
if reply.GetTokens() > 0 && len(reply.GetChatDeltas()) == 0 {
acc.tokens = reply.GetTokens()
return
}
for _, cd := range reply.GetChatDeltas() {
for _, tc := range cd.GetToolCalls() {
if tc.GetId() != "" {
acc.toolID = tc.GetId()
}
if tc.GetName() != "" {
acc.name = tc.GetName()
}
acc.args.WriteString(tc.GetArguments())
}
}
})
Expect(err).NotTo(HaveOccurred())
// Text content survived the wire.
Expect(acc.text.String()).To(Equal("Looking up "))
// Tool call id + name landed on the first announcing chunk.
Expect(acc.toolID).To(Equal("call_x"))
Expect(acc.name).To(Equal("search"))
// Argument fragments assembled in order.
Expect(acc.args.String()).To(Equal(`{"q":"weather"}`))
// Final usage frame propagated.
Expect(acc.tokens).To(BeEquivalentTo(17))
})
It("delivers complete tool-call results through non-streaming Predict", func() {
addr := "test://translate-integration-predict"
Provide(addr, &toolCallStreamer{})
c := NewClient(addr, true, nil, false)
reply, err := c.Predict(context.Background(), &pb.PredictOptions{})
Expect(err).NotTo(HaveOccurred())
Expect(string(reply.GetMessage())).To(Equal("done"))
Expect(reply.GetPromptTokens()).To(BeEquivalentTo(11))
Expect(reply.GetTokens()).To(BeEquivalentTo(4))
Expect(reply.GetChatDeltas()).To(HaveLen(1))
tcs := reply.GetChatDeltas()[0].GetToolCalls()
Expect(tcs).To(HaveLen(1))
Expect(tcs[0].GetId()).To(Equal("call_finalize"))
Expect(tcs[0].GetName()).To(Equal("submit"))
Expect(tcs[0].GetArguments()).To(Equal(`{"ok":true}`))
})
})