> For the complete documentation index, see [llms.txt](https://docs.gitloom.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gitloom.cloud/documentation/go.md).

# Go

```bash
go get github.com/GitLoomHQ/gitloom-go/gitloom
```

A **drop-in replacement for** [**karma**](https://github.com/MelloB1989/karma)**'s completion calls** — same method signatures; a `ChatId` makes the conversation manage itself.

## Drop-in

```go
client := gitloom.New("") // reads GITLOOM_API_KEY

kai := gitloom.WrapKarma(
    ai.NewKarmaAI(ai.GPT4o, ai.OpenAI),   // the karma you already use
    client,
    gitloom.ConversationOptions{Model: "gpt-4o", Namespace: userID},
)

// karma's own signature — switch the receiver, change nothing else.
resp, _ := kai.ChatCompletion(models.AIChatHistory{
    ChatId:   "chat-42", // ← the only change
    Messages: []models.AIMessage{{Role: models.User, Message: "What camera do I own?"}},
})
```

Pass **only the new messages — never append anything**. Behind the call: the stored conversation supplies the earlier turns, memory is retrieved and injected as background, both turns are stored with karma's real token count, compaction runs on cadence or window pressure, and every compaction feeds the summarized turns to memory ingestion. No `ChatId` passes straight through. `ChatCompletionStream` works identically — chunks stream through your callback, the exchange is stored at the end.

Compaction is your choice: `Summarize: gitloom.KarmaSummarizer(kai)` runs locally on your model; `SummarizeServer: true` hands it to GitLoom's model.

## Added features, on the same wrapper

```go
conv, _ := kai.Conversation(ctx, "chat-42")   // the SAME managed conversation

conv.Rewind(ctx, 6)
conv.Edit(ctx, 4, models.AIMessage{Role: models.User, Message: "ask differently"})
conv.EditInPlace(ctx, 4, "[redacted]")
conv.SetTitle(ctx, "Camera shopping")
conv.Branches(ctx)
```

A rewind or edit here is what the next `ChatCompletion` continues from. Direct memory: `kai.Memory().Recall(ctx, ...)` / `.Remember(ctx, ...)`. Data-URL images and files in `AIMessage` are uploaded transparently and stored by reference.


---

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