1deae2a1e9
Replace the frozen context snapshot pattern with a CLI-driven approach: agents now use `multica` CLI commands to fetch issue details, comments, and workspace context on demand, always getting the latest data. - Remove buildContextSnapshot and snapshot generation from enqueue - Claim endpoint now returns fresh agent name + skills from DB - Daemon resolves provider from local runtimeIndex, not snapshot - Prompt instructs agent to use `multica issue get` / `comment list` - Meta skill (CLAUDE.md/AGENTS.md) documents all available CLI commands - Skills still injected as filesystem files (static agent config) - Simplify daemon types: remove TaskContext/IssueContext/RuntimeContext Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
26 lines
1.1 KiB
Go
26 lines
1.1 KiB
Go
package daemon
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import (
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"fmt"
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"strings"
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)
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// BuildPrompt constructs the task prompt for an agent CLI.
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// The prompt is intentionally minimal — it provides only the issue ID and
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// instructs the agent to use the multica CLI to fetch details on demand.
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// Skill instructions are injected via the runtime's native config mechanism
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// (e.g., .claude/CLAUDE.md, AGENTS.md) by execenv.InjectRuntimeConfig.
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func BuildPrompt(task Task) string {
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var b strings.Builder
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b.WriteString("You are running as a local coding agent for a Multica workspace.\n\n")
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fmt.Fprintf(&b, "Your assigned issue ID is: %s\n\n", task.IssueID)
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b.WriteString("Use the `multica` CLI to fetch the issue details and any context you need:\n\n")
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fmt.Fprintf(&b, " multica issue get %s --output json # Full issue details\n", task.IssueID)
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fmt.Fprintf(&b, " multica issue comment list %s # Comments and discussion\n\n", task.IssueID)
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fmt.Fprintf(&b, "Start by running `multica issue get %s --output json` to understand your task, then complete it.\n", task.IssueID)
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return b.String()
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}
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