steve
97513141dc
Phase 7: nine runnable examples/ programs (parse, failover chains with trailing alias, tiers, LLM_* env providers, multimodal, tool loop, Generate[T], agent, skills); docs/mort-migration.md mapping mort's go-llm/go-agentkit usage onto majordomo APIs with the planned additive library extensions and conversion order; README finalized with the complete matrix. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
48 lines
1.3 KiB
Go
48 lines
1.3 KiB
Go
// Command multimodal demonstrates capability-aware image input: attach an
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// image without knowing the target's limits — majordomo sniffs the real
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// format, downscales, re-encodes, and enforces counts/sizes against the
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// actual serving target before the request goes out.
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package main
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import (
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"context"
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"flag"
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"fmt"
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"log"
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"os"
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"gitea.stevedudenhoeffer.com/steve/majordomo"
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)
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func main() {
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model := flag.String("model", "ollama-cloud/kimi-k2.6:cloud", "vision-capable model spec")
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path := flag.String("image", "", "path to a jpeg/png/gif image (required)")
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flag.Parse()
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if *path == "" {
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log.Fatal("usage: multimodal -image photo.jpg [-model spec]")
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}
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data, err := os.ReadFile(*path)
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if err != nil {
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log.Fatalf("read image: %v", err)
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}
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m, err := majordomo.Parse(*model)
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if err != nil {
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log.Fatalf("parse: %v", err)
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}
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// The declared MIME may even be wrong — the media pipeline sniffs the
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// bytes and corrects it.
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resp, err := m.Generate(context.Background(), majordomo.Request{
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Messages: []majordomo.Message{majordomo.UserParts(
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majordomo.Text("Describe this image in two sentences."),
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majordomo.Image("image/jpeg", data),
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)},
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})
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if err != nil {
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log.Fatalf("generate: %v", err)
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}
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fmt.Printf("[%s] %s\n", resp.Model, resp.Text())
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}
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