fix(session): route all Muse family models to the Meta system prompt (#41581)
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@@ -1,4 +1,4 @@
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You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by Muse Spark, a large language model trained by Meta MSL.
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You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by {{MODEL_NAME}}, a large language model trained by Meta MSL.
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Use the instructions below and the tools available to assist the user.
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@@ -61,5 +61,5 @@ Use the instructions below and the tools available to assist the user.
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- NEVER use comments as a place for long-winded chain-of-thought. Long thinking texts must be generated as private reasoning. Comments in code must be appropriately concise.
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# User Help & Feedback
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- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta Muse Spark.
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- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta {{MODEL_NAME}}.
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- When users ask directly about OpenCode (eg. "can OpenCode do...", "are you able to do...") or its features (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from the OpenCode docs at https://opencode.ai/docs.
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@@ -25,7 +25,10 @@ import { MCP } from "@/mcp"
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import { PermissionV1 } from "@opencode-ai/core/v1/permission"
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export function provider(model: Provider.Model) {
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if (model.api.id.includes("muse-spark")) return [PROMPT_META]
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if (model.api.id.includes("muse")) {
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const name = model.api.id.includes("muse-glimmer") ? "Muse Glimmer" : "Muse Spark"
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return [PROMPT_META.replaceAll("{{MODEL_NAME}}", name)]
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}
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if (model.api.id.includes("gpt-4") || model.api.id.includes("o1") || model.api.id.includes("o3"))
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return [PROMPT_BEAST]
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if (model.api.id.includes("gpt")) {
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@@ -85,9 +85,21 @@ const it = testEffect(
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describe("session.system", () => {
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test("selects the Meta prompt for Muse Spark model IDs", () => {
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expect(SystemPrompt.provider({ api: { id: "meta/muse-spark-preview" } } as Provider.Model)[0]).toContain(
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"Meta Muse Spark",
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)
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for (const id of ["meta/muse-spark-preview", "muse-spark-1.1", "muse-spark-1.2"]) {
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const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
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expect(prompt).toContain("powered by Muse Spark,")
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expect(prompt).toContain("using Meta Muse Spark.")
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expect(prompt).not.toContain("{{MODEL_NAME}}")
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}
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})
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test("selects the Meta prompt for Muse Glimmer model IDs", () => {
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for (const id of ["meta/muse-glimmer", "meta/muse-glimmer-30b", "muse-glimmer-30b"]) {
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const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
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expect(prompt).toContain("powered by Muse Glimmer,")
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expect(prompt).toContain("using Meta Muse Glimmer.")
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expect(prompt).not.toContain("{{MODEL_NAME}}")
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}
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})
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it.effect("skills output is sorted by name and stable across calls", () =>
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