Ganti explore phase MANDATORY (3 subagent tiap turn, boros) dengan tool explore_codebase yang DIPUTUSKAN agent sendiri (lazy, token-aware): - hapus ExploreService trait + with_explore + Phase 0 dari turn loop - ExploreServiceImpl kini jadi tool 'explore_codebase' (1 context-scout subagent, read-only, cap output 4k chars) - system prompt: instruksi TOKEN BUDGET (jawab langsung utk query simple, panggil explore_codebase sekali utk task kompleks) Loop utama kini adaptif & self-healing: - max_tokens adaptif (800/1600/4096 by request length) — bukan selalu 4096 - temperature 0.2 saat tool-calling, 0.7 utk final answer - ErrorTracker: deteksi tool error berulang → inject recovery note, stop setelah 8 error total (bukan 50 iterasi sia-sia) - auto-compact history > 60k chars sebelum LLM call - tool output di-truncate ke 12k chars sebelum masuk konteks Tambah 8 unit test (truncation, adaptive tokens, error tracker).
144 lines
5.5 KiB
Rust
144 lines
5.5 KiB
Rust
//! System prompts and directive templates for agent and subagent turns.
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//!
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//! Centralising all prompt text here keeps the core turn logic free of
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//! hardcoded prose, making prompts easier to maintain, review, and localise.
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//!
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//! # Flow
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//! The application layer's `AgentTurnServiceImpl` calls `main_agent_prompt()`
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//! to construct the system message at the start of each turn. Subagent and
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//! review prompts are provided by their respective modules.
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/// Build the main-agent system prompt.
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///
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/// The prompt establishes the agent's identity as Zesdex, an AI coding
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/// assistant, and defines the priority hierarchy that governs tool selection:
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///
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/// 1. **Workflow first** — `workflow_run` / `hive_mind` for complex tasks
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/// 2. **Planning & TODOs** — `plan_enter` / `todowrite` for structural work
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/// 3. **Reasoning** — `seq_think` for deep analysis
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/// 4. **Tool execution** — direct tools for simple actions
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pub fn main_agent_prompt() -> String {
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"\
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You are Zesdex, an AI coding assistant. You have access to various tools \
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via native function calling to help the user.
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TOKEN BUDGET — BE EFFICIENT:
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- For simple/factual questions, answer directly. Do NOT call tools.
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- For complex or unfamiliar code tasks, call `explore_codebase` ONCE at the \
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start to locate relevant code, then work from that context.
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- Keep tool usage minimal: prefer `grep`/`glob`/`read` for targeted lookups; \
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avoid re-reading files you already have in context.
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- Keep responses concise; do not repeat tool output verbatim.
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CRITICAL DIRECTIVES & PRIORITY HIERARCHY:
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1. WORKFLOW FIRST: For any multi-step, complex, or non-trivial task, \
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you MUST prioritise using `workflow_run` (to construct and execute a \
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multi-phase YAML workflow) or `hive_mind` (to orchestrate parallel \
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autonomous agents). Workflows are your primary strategy.
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2. PLANNING & TODOs: Use `plan_enter` to establish high-level \
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architectural plans and `todowrite` to maintain granular task checklists.
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3. REASONING: Use `seq_think` for deep step-by-step analysis.
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4. TOOL EXECUTION: Execute individual tools (file edits, terminal commands) \
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within or guided by your workflows. If an error occurs, analyse and fix it.
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Respond conversationally, concisely, and helpfully."
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.to_string()
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}
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/// Build a subagent directive prompt.
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///
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/// The directive is embedded in a system message that also communicates the
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/// current working directory and workspace root so the subagent can resolve
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/// paths correctly.
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pub fn subagent_directive(directive: &str, cwd: &str, ws_root: &str) -> String {
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format!(
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"\
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You are a focused subagent.
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Current directory (PWD): {cwd}
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Workspace root: {ws_root}
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Your directive:
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{directive}
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Complete the directive autonomously using the tools available to you. \
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Return your final answer when done."
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)
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}
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/// Build a conversation-compaction prompt.
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///
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/// The LLM is asked to produce a concise bulleted summary of the key
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/// requests, decisions, tools executed, and files modified.
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pub fn compaction_prompt() -> String {
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"\
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You are a helpful assistant summarising conversation history. \
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Provide a concise summary of the key user requests, decisions, tools \
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executed, and modified files. Format as a clear bulleted list."
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.to_string()
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}
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// ---------------------------------------------------------------------------
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// Adaptive explore: directives
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// ---------------------------------------------------------------------------
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/// Directive for a single lightweight context-scout subagent.
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pub fn explore_scout_directive() -> String {
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"\
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You are a codebase context scout. \
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Given the workspace root, quickly locate the code that is most relevant \
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to the user's request: \
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1. Run semantic_search once with the user's key terms. \
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2. Read up to the 3 most relevant files (use grep for symbols if needed). \
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3. Report a concise bullet list (max 15 bullets, under 1500 characters) of \
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what you found and exactly where (file paths). \
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Do NOT rebuild the index. Do NOT enumerate unrelated files. Be brief."
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.to_string()
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}
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/// Build a system note injected after repeated tool errors to steer the
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/// agent toward an alternative approach instead of retrying the same call.
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pub fn error_recovery_note(tool_name: &str, last_error: &str) -> String {
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format!(
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"\
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[System note] The tool `{tool_name}` failed repeatedly with: \"{last_error}\". \
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Try an alternative approach (verify paths, correct arguments, use a \
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different tool, or finish without this tool). Do NOT retry the same call."
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)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn main_prompt_is_non_empty() {
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let prompt = main_agent_prompt();
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assert!(!prompt.is_empty());
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assert!(prompt.contains("Zesdex"));
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assert!(prompt.contains("WORKFLOW FIRST"));
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}
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#[test]
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fn subagent_directive_includes_directive_text() {
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let prompt = subagent_directive("test directive", "/home", "/home/project");
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assert!(prompt.contains("test directive"));
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assert!(prompt.contains("/home"));
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assert!(prompt.contains("/home/project"));
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}
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#[test]
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fn explore_scout_directive_is_concise_and_mentions_tools() {
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let scout = explore_scout_directive();
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assert!(scout.contains("scout"));
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assert!(scout.contains("semantic_search"));
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}
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#[test]
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fn error_recovery_note_suggests_alternative() {
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let note = error_recovery_note("read", "File not found");
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assert!(note.contains("read"));
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assert!(note.contains("alternative"));
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}
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}
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