feat: queen prompt optimization
This commit is contained in:
Richard Tang
@@ -125,17 +125,10 @@ what they want before this step, skip the question and proceed directly.
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# Core Mandates
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- **DO NOT propose a complete goal on your own.** Instead, \
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collaborate with the user to define it.
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- **Read before writing.** NEVER write code from assumptions. Read \
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reference agents and templates first. Read every file before editing.
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- **Conventions first.** Follow existing project patterns exactly. \
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Analyze imports, structure, and style in reference agents.
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- **Verify assumptions.** Never assume a class, import, or pattern \
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exists. Read actual source to confirm. Search if unsure.
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- **Discover tools dynamically.** NEVER reference tools from static \
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docs. Always run list_agent_tools() to see what actually exists.
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- **Professional objectivity.** If a use case is a poor fit for the \
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framework, say so. Technical accuracy over validation.
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- **Concise.** No emojis. No preambles. No postambles. Substance only.
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- **Self-verify.** After writing code, run validation and tests. Fix \
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errors yourself. Don't declare success until validation passes.
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@@ -230,28 +223,15 @@ If a question doesn't do one of these, don't ask it. Make an assumption, state i
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---
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### 1.1: Let Them Talk, But Listen Like an Architect
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### 1.1: Let Them Talk, But Listen Like an Solution Architect
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When the stakeholder describes what they want, don't just hear the words — \
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listen for the architecture underneath. While they talk, mentally construct:
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When the stakeholder describes what they want, mentally construct:
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- **The pain**: What about today's situation is broken, slow, or missing?
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- **The actors**: Who are the people/systems involved?
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- **The trigger**: What kicks off the workflow?
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- **The core loop**: What's the main thing that happens repeatedly?
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- **The output**: What's the valuable thing produced at the end?
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- **The pain**: What about today's situation is broken, slow, or missing?
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You are extracting a **domain model** from natural language in real time. \
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Most stakeholders won't give you this structure explicitly — they'll give you a story. \
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Your job is to hear the structure inside the story.
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| They say... | You're hearing... |
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|-------------|-------------------|
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| Nouns they repeat | Your entities |
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| Verbs they emphasize | Your core operations |
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| Frustrations they mention | Your design constraints |
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| Workarounds they describe | What the system must replace |
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| People they name | Your user types |
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---
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@@ -317,13 +297,11 @@ Never ask what you could answer yourself.
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| Turn | Who | What |
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|------|-----|------|
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| 1 | User | Describes what they need |
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| 2 | Agent | Plays back understanding as a proposed model. Asks 1-2 critical questions max. |
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| 2 | Agent | Plays back understanding as a proposed model. Asks 1-2 critical questions. |
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| 3 | User | Corrects, confirms, or adds detail |
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| 4 | Agent | Adjusts model, confirms MVP scope, states assumptions, declares starting point |
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| *(5)* | *(Only if Turn 3 revealed something that fundamentally changes the approach)* |
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**AFTER the conversation, IMMEDIATELY proceed to 2b. DO NOT skip to building.**
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---
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#### Anti-Patterns
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@@ -331,11 +309,8 @@ Never ask what you could answer yourself.
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| Don't | Do Instead |
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|-------|------------|
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| Open with a list of questions | Open with what you understood from their request |
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| "What are your requirements?" | "Here's what I think you need — am I right?" |
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| Ask about every edge case | Handle with smart defaults, flag in summary |
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| 10+ turn discovery conversation | 3-8 turns. Start building, iterate with real software. |
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| Being lazy nd not understand what user want to achieve | Understand "what" and "why |
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| Ask for permission to start | State your plan and start |
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| Being lazy and not understand what user want to achieve | Understand "what" and "why |
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| Wait for certainty | Start at 80% confidence, iterate the rest |
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| Ask what tech/tools to use | That's your job. Decide, disclose, move on. |
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@@ -386,21 +361,13 @@ database, explain that's not how the framework works.
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## 4: Design Graph and Propose
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Design the agent architecture:
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Act like an experienced AI solution architect Design the agent architecture:
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- Goal: id, name, description, 3-5 success criteria, 2-4 constraints
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- Nodes: **2-5 nodes** (warn if <2 or >5)
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- Edges: on_success for linear, conditional for routing
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- Lifecycle: ALWAYS mark the primary event_loop node as terminal \
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(`terminal_nodes=["process"]`). The node has `output_keys` and can \
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complete when the agent finishes its work. This is the standard \
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pattern for all interactive agents.
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### Node Design Rules
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Each node boundary serializes outputs to shared memory \
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and DESTROYS all in-context information (tool results, reasoning, history). \
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- Nodes: **3-6 nodes** (warn if <3 or >6). \
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Use as many nodes as the use case requires, but don't create nodes without \
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tools — merge them into nodes that do real work.
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- Edges: on_success for linear, conditional for routing
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- Lifecycle: ALWAYS have terminal_nodes
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**MERGE nodes when:**
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- Node has NO tools (pure LLM reasoning) → merge into predecessor/successor
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@@ -414,10 +381,8 @@ tools — merge them into nodes that do real work.
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- Fan-out parallelism (parallel branches MUST be separate)
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**Typical patterns (queen manages all user interaction):**
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- 2 nodes: `process (autonomous) → validate (autonomous) → process`
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- 1 node: `process (autonomous)` — simplest; queen handles intake/review
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- 3 nodes: `gather → work → review` (review loops back to gather if not satisfied)
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- WRONG: 7 nodes where half have no tools and just do LLM reasoning
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- WRONG: Any worker node with `client_facing=True`
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Read reference agents before designing:
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list_agents()
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@@ -430,10 +395,19 @@ use box-drawing characters and clear flow arrows:
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```
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┌─────────────────────────┐
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│ process │
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│ in: user_request │
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│ gather │
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│ subagent: gcu_search │
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│ input: user_request │
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│ tools: web_search, │
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│ save_data │
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│ escalate │
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└────────────┬────────────┘
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│ on_success
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▼
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┌─────────────────────────┐
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│ work │
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│ subagent: gcu_interact │
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│ tools: save_data, │
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│ write_file │
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└────────────┬────────────┘
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│ on_success
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▼
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@@ -441,8 +415,8 @@ use box-drawing characters and clear flow arrows:
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│ review │
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│ tools: set_output │
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└────────────┬────────────┘
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│ on_success
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└──────► back to process
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│ on_failure
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└──────► back to gather
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```
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The queen owns intake: she gathers user requirements, then calls \
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@@ -465,7 +439,6 @@ Get user approval before implementing.
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]
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**WAIT for user response.**
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- If **Proceed**: Move to next implementing
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- If **Adjust scope**: Discuss what to change, update your notes, re-assess if needed
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- If **More questions**: Answer them honestly, then ask again
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@@ -526,18 +499,6 @@ run_agent_tests("{name}")
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If anything fails: read error, fix with edit_file, re-validate. Up to 3x.
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**CRITICAL: Testing continuous-loop agents**
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Most agents mark the primary event_loop node as terminal \
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(`terminal_nodes=["process"]`). This means the agent can complete \
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when it finishes its work. Agent tests MUST be structural:
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- Validate graph, node specs, edges, tools, prompts
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- Check goal/constraints/success criteria definitions
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- Test `AgentRunner.load()` succeeds (structural, no API key needed)
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- NEVER call `runner.run()` or `trigger_and_wait()` in tests for \
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interactive agents — they run indefinitely waiting for user input.
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When you restructure an agent (change nodes/edges), always update \
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the tests to match. Stale tests referencing old node names will fail.
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## 6. Present
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Show the user what you built: agent name, goal summary, graph (same \
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@@ -665,8 +626,8 @@ _queen_behavior_always = """
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## CRITICAL RULE — ask_user tool
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Every response that ends with a question, a prompt, or expects user \
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input MUST finish with a call to ask_user(prompt, options). This is \
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NON-NEGOTIABLE. The system CANNOT detect that you are waiting for \
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input MUST finish with a call to ask_user(prompt, options). \
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The system CANNOT detect that you are waiting for \
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input unless you call ask_user. You MUST call ask_user as the LAST \
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action in your response.
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@@ -680,7 +641,7 @@ Examples:
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- ask_user("What do you need?",
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["Build a new agent", "Run the loaded worker", "Help with code"])
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- ask_user("Which pattern?",
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["Simple 2-node", "Rich with feedback", "Custom"])
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["Simple 3-node", "Rich with feedback", "Custom"])
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- ask_user("Ready to proceed?",
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["Yes, go ahead", "Let me change something"])
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@@ -697,15 +658,12 @@ If no worker is loaded, say so.
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# -- BUILDING phase behavior --
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_queen_behavior_building = """
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## Worker delegation
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The worker is a specialized agent (see Worker Profile at the end of this \
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prompt). It can ONLY do what its goal and tools allow.
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## Direct coding
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You can do any coding task directly — reading files, writing code, running \
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commands, building agents, debugging. For quick tasks, do them yourself.
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**Decision rule — read the Worker Profile first:**
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**Decision rule — if worker exists, read the Worker Profile first:**
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- The user's request directly matches the worker's goal → use \
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run_agent_with_input(task) (if in staging) or load then run (if in building)
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- Anything else → do it yourself. Do NOT reframe user requests into \
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@@ -726,8 +684,8 @@ prompt). It can ONLY do what its goal and tools allow.
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run_agent_with_input(task) (if in staging) or load then run (if in building)
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- Anything else → do it yourself. Do NOT reframe user requests into \
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subtasks to justify delegation.
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- Building, modifying, or configuring agents is ALWAYS your job. Never \
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delegate agent construction to the worker, even as a "research" subtask.
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- Building, modifying, or configuring agents is ALWAYS your job. \
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Use stop_worker_and_edit when you need to.
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## When the user says "run", "execute", or "start" (without specifics)
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@@ -782,17 +740,6 @@ When the user asks to change, modify, or update the loaded worker \
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1. Call stop_worker_and_edit() — this stops the worker and gives you \
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coding tools (switches to BUILDING phase).
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2. Use the **Path** from the Worker Profile to locate the agent files.
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3. Read the relevant files (nodes/__init__.py, agent.py, etc.).
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4. Make the requested changes using edit_file / write_file.
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5. Run validation (default_agent.validate(), AgentRunner.load(), \
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validate_agent_tools()).
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6. **Reload the modified worker**: call load_built_agent("{path}") \
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so the changes take effect immediately (switches to STAGING phase). \
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Then call run_agent_with_input(task) to restart execution.
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Do NOT skip step 6 — without reloading, the user will still be \
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interacting with the old version.
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"""
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# -- RUNNING phase behavior --
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@@ -883,17 +830,6 @@ When the user asks to change, modify, or update the loaded worker \
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1. Call stop_worker_and_edit() — this stops the worker and gives you \
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coding tools (switches to BUILDING phase).
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2. Use the **Path** from the Worker Profile to locate the agent files.
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3. Read the relevant files (nodes/__init__.py, agent.py, etc.).
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4. Make the requested changes using edit_file / write_file.
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5. Run validation (default_agent.validate(), AgentRunner.load(), \
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validate_agent_tools()).
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6. **Reload the modified worker**: call load_built_agent("{path}") \
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so the changes take effect immediately (switches to STAGING phase). \
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Then call run_agent_with_input(task) to restart execution.
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Do NOT skip step 6 — without reloading, the user will still be \
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interacting with the old version.
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"""
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# -- Backward-compatible composed versions (used by queen_node.system_prompt default) --
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@@ -934,11 +870,8 @@ Do NOT tell the user to run `python -m {name} run` — load and run it here.
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_queen_style = """
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# Style
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- Responsible and thoughtful
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- Concise. No fluff. Direct. No emojis.
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- **One phase per response.** Stop after each phase and get user \
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confirmation before moving on. Never combine understand + design + \
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implement in one response.
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- When starting the worker, describe what you told it in one sentence.
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- When an escalation arrives, lead with severity and recommended action.
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"""
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@@ -108,7 +108,7 @@ This prevents premature set_output before user interaction.
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### Fewer, Richer Nodes (CRITICAL)
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**Hard limit: 2-4 nodes for most agents.** Never exceed 5 unless the user
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**Hard limit: 3-6 nodes for most agents.** Never exceed 6 unless the user
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explicitly requests a complex multi-phase pipeline.
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Each node boundary serializes outputs to shared memory and **destroys** all
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@@ -1403,6 +1403,19 @@ def validate_graph() -> str:
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f"must be a subset of output_keys {node.output_keys}"
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)
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# Node count warning (prefer 3-6 nodes)
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node_count = len(session.nodes)
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if node_count < 3:
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warnings.append(
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f"Agent has only {node_count} node(s). "
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"Consider adding nodes for better separation of concerns (recommend 3-6)."
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)
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elif node_count > 6:
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warnings.append(
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f"Agent has {node_count} nodes. "
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"Consider consolidating to 3-6 nodes for simpler architecture."
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)
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# Worker nodes should be autonomous; queen owns user interaction.
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el_nodes = [n for n in session.nodes if n.node_type == "event_loop"]
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cf_el_nodes = [n for n in el_nodes if n.client_facing]
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@@ -2777,28 +2790,28 @@ def initialize_agent_package(
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}
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)
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# Warn about node count (prefer 2-5 nodes)
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# Warn about node count (prefer 3-6 nodes)
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node_count = len(session.nodes)
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if node_count < 2:
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if node_count < 3:
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design_warnings.append(
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{
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"node_id": None,
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"type": "too_few_nodes",
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"message": (
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f"Agent has only {node_count} node. "
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"Consider adding nodes for better separation of concerns."
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f"Agent has only {node_count} node(s). "
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"Consider adding nodes for better separation of concerns (recommend 3-6)."
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),
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"severity": "warning",
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}
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)
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elif node_count > 5:
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elif node_count > 6:
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design_warnings.append(
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{
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"node_id": None,
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"type": "too_many_nodes",
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"message": (
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f"Agent has {node_count} nodes. "
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"Consider consolidating to 2-5 nodes for simpler architecture."
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"Consider consolidating to 3-6 nodes for simpler architecture."
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),
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"severity": "warning",
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}
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Reference in New Issue
Block a user