Agent-Native/runtime/llm/providers_test.go

package llm

import (
	"context"
	"encoding/json"
	"os"
	"path/filepath"
	"strings"
	"testing"
)

func TestParseModelRefAndThinking(t *testing.T) {
	ref, err := ParseModelRef("anthropic/claude-sonnet:high")
	if err != nil {
		t.Fatal(err)
	}
	if ref.Provider != "anthropic" || ref.Model != "claude-sonnet" || ref.Thinking != "high" {
		t.Fatalf("%+v", ref)
	}
	if _, err := ParseModelRef("openai/gpt:nope"); err == nil {
		t.Fatal("unknown thinking level must fail")
	}
	if AnthropicThinkingBudget("high") != 8192 || OpenAIReasoningEffort("off") != "" {
		t.Fatal("thinking map")
	}
	p, ok := Lookup("groq", nil)
	if !ok || !strings.Contains(p.BaseURL, "groq") || p.Protocol != ProtocolOpenAIChat {
		t.Fatalf("preset: %+v", p)
	}
}

func TestModelsJSONAndBodies(t *testing.T) {
	dir := t.TempDir()
	path := filepath.Join(dir, "models.json")
	raw := []byte(`{"providers":[{"name":"local","protocol":"openai-chat","baseURL":"http://127.0.0.1:9","apiKeyEnv":"UNUSED_KEY"}]}`)
	if err := os.WriteFile(path, raw, 0o644); err != nil {
		t.Fatal(err)
	}
	got, err := LoadModelsJSON(path)
	if err != nil || len(got) != 1 || got[0].Name != "local" {
		t.Fatalf("%+v %v", got, err)
	}
	msgs := []Message{{
		Role: RoleUser, Content: "see",
		Images: []Image{{MIME: "image/png", Data: "aaaa"}},
	}}
	body, err := BuildBody(ProtocolAnthropic, "claude", append([]Message{{Role: RoleSystem, Content: "sys"}}, msgs...), nil, StreamOptions{ThinkingLevel: "low"})
	if err != nil {
		t.Fatal(err)
	}
	if !strings.Contains(string(body), "budget_tokens") || !strings.Contains(string(body), "base64") {
		t.Fatalf("anthropic body: %s", body)
	}
	gbody, err := BuildBody(ProtocolGoogle, "gemini", msgs, nil, StreamOptions{ThinkingLevel: "max"})
	if err != nil || !strings.Contains(string(gbody), "inlineData") || !strings.Contains(string(gbody), "thinkingBudget") {
		t.Fatalf("google: %s %v", gbody, err)
	}
	rbody, err := BuildBody(ProtocolOpenAIResponses, "gpt", msgs, nil, StreamOptions{ThinkingLevel: "medium", MaxTokens: 20})
	if err != nil || !strings.Contains(string(rbody), "max_output_tokens") || !strings.Contains(string(rbody), "image_url") {
		t.Fatalf("responses: %s %v", rbody, err)
	}
	var decoded map[string]any
	if err := json.Unmarshal(rbody, &decoded); err != nil {
		t.Fatal(err)
	}
}

func TestRetryThenSuccess(t *testing.T) {
	n := 0
	base := StreamFunc(func(ctx context.Context, model string, messages []Message, tools []ToolDecl, opts StreamOptions) <-chan Event {
		out := make(chan Event, 2)
		n++
		if n == 1 {
			out <- Event{Kind: KindError, Retryable: true, ErrorMessage: "429"}
		} else {
			out <- Event{Kind: KindTextDelta, Text: "ok"}
			out <- Event{Kind: KindMessageEnd, Message: Message{Role: RoleAssistant, Content: "ok"}}
		}
		close(out)
		return out
	})
	var events []string
	wrapped := WithRetry(base, 2, func(kind, detail string) { events = append(events, kind) })
	var texts []string
	for ev := range wrapped(context.Background(), "m", nil, nil, StreamOptions{}) {
		if ev.Kind == KindTextDelta {
			texts = append(texts, ev.Text)
		}
	}
	if len(texts) != 1 || texts[0] != "ok" {
		t.Fatalf("texts %v calls %d", texts, n)
	}
	if len(events) == 0 || events[0] != "auto_retry_start" {
		t.Fatalf("events %v", events)
	}
}

func TestContextOverflowIsNotRetried(t *testing.T) {
	if !ContextOverflow("maximum context length exceeded") {
		t.Fatal("expected overflow")
	}
	n := 0
	base := StreamFunc(func(ctx context.Context, model string, messages []Message, tools []ToolDecl, opts StreamOptions) <-chan Event {
		out := make(chan Event, 1)
		n++
		out <- Event{Kind: KindError, Retryable: true, ErrorMessage: "context length overflow"}
		close(out)
		return out
	})
	for range WithRetry(base, 3, nil)(context.Background(), "m", nil, nil, StreamOptions{}) {
	}
	if n != 1 {
		t.Fatalf("overflow must not retry, calls=%d", n)
	}
}