{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "goccy-go-llama--stream-tokens-to-live-output",
 "repo": "goccy/go-llama",
 "repo_url": "https://github.com/goccy/go-llama",
 "repo_slug": "goccy-go-llama",
 "title": "Show model output token by token as it generates",
 "page_title": "How to show model output token by token as it generates with Go Llama",
 "summary": "Use Context.Stream to print or push each piece of text while the model is still generating.",
 "who": "A developer building a chat screen, terminal tool, or log viewer who wants output to appear as it is produced.",
 "problem": "Waiting for a full response before showing anything makes long answers feel slow and hides progress.",
 "outcome": "Text appears incrementally, and a running generation can be stopped from another goroutine with Context.Interrupt.",
 "steps": [
  "Load a GGUF model and create a context as shown in the README example.",
  "Call Context.Stream instead of Generate and write each callback piece to your output.",
  "Run a second goroutine that calls Context.Interrupt to test stopping a long generation.",
  "Run `go run .` and watch text print as it decodes. (inferred, check the README)"
 ],
 "agent_prompt": "In the Go project at <project-path>, use goccy/go-llama's Context.Stream to print each generated piece for the prompt \"<prompt>\" from <model-file>.gguf. Expected output: text that appears in pieces before the program finishes. Verify that calling Context.Interrupt from another goroutine stops the generation.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README describes the Stream callback and Interrupt method but does not show their full signatures, so check the package documentation on pkg.go.dev before relying on exact parameter types.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "go",
 "requirements": [
  "A Go toolchain installed on your machine",
  "A GGUF model file, such as model.gguf",
  "Enough memory for the model weights and KV cache, since the README notes wasm32 caps linear memory at 4 GiB"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/goccy-go-llama/stream-tokens-to-live-output/",
 "md": "https://dedupedai.com/use-cases/goccy-go-llama/stream-tokens-to-live-output/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/goccy-go-llama--stream-tokens-to-live-output.json",
 "api_version": "v1"
}