speccoder_runtime/substrate/
host.rs1use crate::format::Wording;
9use agentplane::prelude::*;
10use serde_json::{Value, json};
11
12use super::attempt::{Asker, LoopSpec, ask_person, tool_loop};
13use crate::tools::policy::Policy;
14
15pub const CAPABILITY: &str = "speccoder.skill.run";
17
18pub fn policy(w: &Wording) -> String {
20 format!(
21 "You are speccoder, running the Agent Skill below for a person in their {product} \
22project. Follow the skill's instructions. You can read the project, {authoring} with run_command \
23(argv, no shell). Do not write source code — implementation is a separate step that \
24speccoder runs with tests; other writes need a person's approval. When the skill says to \
25ask the user, call ask_person with one question at a time; if nobody can answer, follow \
26the skill's rule for unanswered questions. Skip steps about extension hooks, other \
27agents' slash commands, committing, branching or pushing unless {authoring_tool} does it. \
28Finish with the requested structured report.",
29 product = w.product,
30 authoring = w.authoring,
31 authoring_tool = w.authoring_tool,
32 )
33}
34
35pub fn explore_policy(w: &Wording) -> String {
37 format!(
38 "You are speccoder, exploring an idea with a person in their {product} project before any spec exists. You can read the project; you cannot write anything — the person chooses an approach afterwards, speccoder writes the brief, and *Start spec* writes the spec. When you need the person's view, call ask_person with one question at a time; if nobody can answer, list the question under open questions and go on. Look at how the project works today, then end with the structured report: approaches that really differ, each with what it gives up and what could go wrong, the constraints any of them must respect, and the questions still open. Your report is a proposal; you do not choose.",
39 product = w.product,
40 )
41}
42
43pub const EXPLORE_FALLBACK: &str = "Explore the idea below with the person. Read what the project already has that it touches (code, specs, docs). Ask the person at most a few questions, one at a time, only where the answer changes which approach fits. Then propose at least three approaches that differ in kind, not degree — e.g. the smallest change, the cleanest design, a different way altogether — each with its trade-offs and its risks. Name the constraints any approach must respect and the questions still open. Do not choose: the person does.";
46
47#[must_use]
51pub fn explore_schema() -> Value {
52 super::answers::schema::<super::answers::Explored>()
53}
54
55#[must_use]
57pub fn schema() -> Value {
58 super::answers::schema::<super::answers::Hosted>()
59}
60
61#[must_use]
63pub fn input(skill: &str, instruction: &str, root: &str, limits: (u32, u32), ask: bool) -> Value {
64 json!({
65 "skill": skill,
66 "instruction": instruction,
67 "settings": { "max_turns": limits.0, "max_tool_calls": limits.1, "asks": if ask { "tasks" } else { "stop" }, "root": root },
70 })
71}
72
73#[derive(Debug)]
75pub struct Host {
76 pub style: super::model_config::PromptStyle,
78 pub progress: Option<std::sync::Arc<dyn crate::progress::Progress>>,
80 pub format: &'static dyn crate::format::Adapter,
82 pub present: crate::approvals::PresentContext,
84}
85
86#[async_trait]
87impl Skill for Host {
88 fn descriptor(&self) -> SkillDescriptor {
89 SkillDescriptor::new("speccoder.skill.run").provides(CAPABILITY)
90 }
91
92 async fn invoke(
93 &self,
94 cx: &mut StepCtx<'_>,
95 input: Tainted<Value>,
96 ) -> Result<Outcome, SkillError> {
97 let style = self.style;
98 let settings = input.peek()["settings"].clone();
99 let skill = input.peek()["skill"]
100 .as_str()
101 .unwrap_or_default()
102 .to_owned();
103 let limit = |key: &str, default: u32| {
104 settings[key]
105 .as_u64()
106 .map_or(default, |n| u32::try_from(n).unwrap_or(u32::MAX))
107 };
108 let label = input.label().clone();
111 let exploring = settings["mode"] == "explore";
112 let prompt = super::provenance::labelled_prompt(
113 {
114 let input = input.peek();
115 let text = format!(
116 "# Skill `{}`\n\n{}",
117 input["skill"].as_str().unwrap_or_default(),
118 input["instruction"].as_str().unwrap_or_default()
119 );
120 let system = if exploring {
121 explore_policy(self.format.wording())
122 } else {
123 policy(self.format.wording())
124 };
125 match style {
126 super::model_config::PromptStyle::OpenAi => json!({
127 "system": system,
128 "input": [{ "role": "user", "content": [{ "type": "input_text", "text": text }] }],
129 }),
130 super::model_config::PromptStyle::Anthropic
131 | super::model_config::PromptStyle::Chat => json!({
132 "system": system,
133 "messages": [{ "role": "user", "content": [{ "type": "text", "text": text }] }],
134 }),
135 super::model_config::PromptStyle::Parts { .. } => json!({
136 "system": system,
137 "input": [{ "type": "text", "text": text }],
138 }),
139 }
140 },
141 &label,
142 );
143 let mut tools = crate::tools::declarations();
144 tools.push(ask_person());
145 let ask = Asker::from_settings(
146 &settings,
147 format!("skill/{skill}"),
148 skill.clone(),
149 self.present.clone(),
150 );
151 tool_loop(
152 cx,
153 &prompt,
154 LoopSpec {
155 reasoning: false,
157 tools,
158 policy: if exploring {
161 let planning = self.format.planning();
162 Policy::new(&[], &[]).rules(self.format.rules()).exploring(
163 crate::tools::policy::Exploring {
164 paths: planning.explore_paths,
165 commands: planning.explore_commands,
166 },
167 )
168 } else {
169 Policy::new(&[], &[])
170 .rules(if settings["scope"] == "bug" {
171 self.format
172 .bug_step()
173 .map_or(self.format.rules(), |s| s.rules)
174 } else {
175 self.format.rules()
176 })
177 .authoring()
178 },
179 max_turns: limit("max_turns", 30).max(1),
180 max_tool_calls: limit("max_tool_calls", 100),
181 schema: Some(if exploring {
182 explore_schema()
183 } else {
184 schema()
185 }),
186 max_tokens: None,
187 left: None,
188 reads: None,
189 halt: None,
190 routes: Vec::new(),
191 root: settings["root"].as_str().map(str::to_owned),
192 frozen_additions: false,
193 ask,
194 run_approved: Vec::new(),
195 once: Vec::new(),
196 run: None,
197 asking: super::attempt::Asking::default(),
198 parts: Vec::new(),
199 mcp_digests: std::collections::BTreeMap::new(),
200 stop: super::attempt::StopGate::default(),
201 observer: self.progress.clone().map(|p| (skill.clone(), p)),
202 finish: |report| {
203 if report["status"] == "incomplete" {
204 "incomplete"
205 } else {
206 "completed"
207 }
208 },
209 },
210 )
211 .await
212 }
213}