chore: initialize qiming workspace repository
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qimingcode/packages/opencode/specs/v2/keymappings.md
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qimingcode/packages/opencode/specs/v2/keymappings.md
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# Keybindings vs. Keymappings
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Make it `keymappings`, closer to neovim. Can be layered like `<leader>abc`. Commands don't define their binding, but have an id that a key can be mapped to like
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```ts
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{ key: "ctrl+w", cmd: string | function, description }
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```
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_Why_
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Currently its keybindings that have an `id` like `message_redo` and then a command can use that or define it's own binding. While some keybindings are just used with `.match` in arbitrary key handlers and there is no info what the key is used for, except the binding id maybe. It also is unknown in which context/scope what binding is active, so a plugin like `which-key` is nearly impossible to get right.
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136
qimingcode/packages/opencode/specs/v2/message-shape.md
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qimingcode/packages/opencode/specs/v2/message-shape.md
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# Message Shape
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Problem:
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- stored messages need enough data to replay and resume a session later
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- prompt hooks often just want to append a synthetic user/assistant message
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- today that means faking ids, timestamps, and request metadata
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## Option 1: Two Message Shapes
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Keep `User` / `Assistant` for stored history, but clean them up.
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```ts
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type User = {
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role: "user"
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time: { created: number }
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request: {
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agent: string
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model: ModelRef
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variant?: string
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format?: OutputFormat
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system?: string
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tools?: Record<string, boolean>
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}
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}
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type Assistant = {
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role: "assistant"
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run: { agent: string; model: ModelRef; path: { cwd: string; root: string } }
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usage: { cost: number; tokens: Tokens }
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result: { finish?: string; error?: Error; structured?: unknown; kind: "reply" | "summary" }
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}
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```
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Add a separate transient `PromptMessage` for prompt surgery.
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```ts
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type PromptMessage = {
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role: "user" | "assistant"
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parts: PromptPart[]
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}
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```
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Plugin hook example:
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```ts
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prompt.push({
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role: "user",
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parts: [{ type: "text", text: "Summarize the tool output above and continue." }],
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})
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```
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Tradeoff: prompt hooks get easy lightweight messages, but there are now two message shapes.
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## Option 2: Prompt Mutators
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Keep `User` / `Assistant` as the stored history model.
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Prompt hooks do not build messages directly. The runtime gives them prompt mutators.
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```ts
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type PromptEditor = {
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append(input: { role: "user" | "assistant"; parts: PromptPart[] }): void
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prepend(input: { role: "user" | "assistant"; parts: PromptPart[] }): void
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appendTo(target: "last-user" | "last-assistant", parts: PromptPart[]): void
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insertAfter(messageID: string, input: { role: "user" | "assistant"; parts: PromptPart[] }): void
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insertBefore(messageID: string, input: { role: "user" | "assistant"; parts: PromptPart[] }): void
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}
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```
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Plugin hook examples:
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```ts
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prompt.append({
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role: "user",
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parts: [{ type: "text", text: "Summarize the tool output above and continue." }],
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})
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```
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```ts
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prompt.appendTo("last-user", [{ type: "text", text: BUILD_SWITCH }])
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```
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Tradeoff: avoids a second full message type and avoids fake ids/timestamps, but moves more magic into the hook API.
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## Option 3: Separate Turn State
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Move execution settings out of `User` and into a separate turn/request object.
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```ts
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type Turn = {
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id: string
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request: {
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agent: string
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model: ModelRef
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variant?: string
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format?: OutputFormat
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system?: string
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tools?: Record<string, boolean>
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}
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}
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type User = {
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role: "user"
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turnID: string
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time: { created: number }
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}
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type Assistant = {
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role: "assistant"
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turnID: string
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usage: { cost: number; tokens: Tokens }
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result: { finish?: string; error?: Error; structured?: unknown; kind: "reply" | "summary" }
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}
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```
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Examples:
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```ts
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const turn = {
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request: {
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agent: "build",
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model: { providerID: "openai", modelID: "gpt-5" },
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},
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}
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```
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```ts
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const msg = {
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role: "user",
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turnID: turn.id,
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parts: [{ type: "text", text: "Summarize the tool output above and continue." }],
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}
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```
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Tradeoff: stored messages get much smaller and cleaner, but replay now has to join messages with turn state and prompt hooks still need a way to pick which turn they belong to.
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