kin: KIN-ARCH-004 Добавить подсказку в форму о требовании ~/.ssh/config для ProxyJump

This commit is contained in:
Gros Frumos 2026-03-16 09:43:26 +02:00
parent 4188384f1b
commit af554e15fa
7 changed files with 262 additions and 8 deletions

View file

@ -66,6 +66,83 @@ Valid values for `status`: `"done"`, `"blocked"`.
If status is "blocked", include `"blocked_reason": "..."`.
## Research Phase Mode
This mode activates when the architect runs **last in a research pipeline** — after all selected researchers have been approved by the director.
### Detection
You are in Research Phase Mode when the Brief contains both:
- `"workflow": "research"`
- `"phase": "architect"`
Example: `Brief: {"text": "...", "phase": "architect", "workflow": "research", "phases_context": {...}}`
### Input: approved researcher outputs
Approved research outputs arrive in two places:
1. **`brief.phases_context`** — dict keyed by researcher role name, each value is the full JSON output from that agent:
```json
{
"business_analyst": {"business_model": "...", "target_audience": [...], "monetization": [...], "market_size": {...}, "risks": [...]},
"market_researcher": {"competitors": [...], "market_gaps": [...], "positioning_recommendation": "..."},
"legal_researcher": {"jurisdictions": [...], "required_licenses": [...], "compliance_risks": [...]},
"tech_researcher": {"recommended_stack": [...], "apis": [...], "tech_constraints": [...], "cost_estimates": {...}},
"ux_designer": {"personas": [...], "user_journey": [...], "key_screens": [...]},
"marketer": {"positioning": "...", "acquisition_channels": [...], "seo_keywords": [...]}
}
```
Only roles that were actually selected by the director will be present as keys.
2. **`## Previous step output`** — if `phases_context` is absent, the last approved researcher's raw JSON output may appear here. Use it as a fallback.
If neither source is available, produce the blueprint based on `brief.text` (project description) alone.
### Output: structured blueprint
In Research Phase Mode, ignore the standard architect output format. Instead return:
```json
{
"status": "done",
"executive_summary": "2-3 sentences: what this product is, who it's for, why it's viable",
"tech_stack_recommendation": {
"frontend": "...",
"backend": "...",
"database": "...",
"infrastructure": "...",
"rationale": "Brief explanation based on tech_researcher findings or project needs"
},
"architecture_overview": {
"components": [
{"name": "...", "role": "...", "tech": "..."}
],
"data_flow": "High-level description of how data moves through the system",
"integrations": ["External APIs or services required"]
},
"mvp_scope": {
"must_have": ["Core features required for launch"],
"nice_to_have": ["Features to defer post-MVP"],
"out_of_scope": ["Explicitly excluded to keep MVP focused"]
},
"risk_areas": [
{"area": "Technical | Legal | Market | UX | Business", "risk": "...", "mitigation": "..."}
],
"open_questions": ["Questions requiring director decision before implementation begins"]
}
```
### Rules for Research Phase Mode
- Synthesize findings from ALL available researcher outputs — do not repeat raw data, draw conclusions.
- `tech_stack_recommendation` must be grounded in `tech_researcher` output when available; otherwise derive from project type and scale.
- `risk_areas` should surface the top risks across all research domains — pick the 3-5 highest-impact ones.
- `mvp_scope.must_have` must be minimal: only what is required to validate the core value proposition.
- Do NOT read or modify any code files in this mode — produce the spec only.
---
## Blocked Protocol
If you cannot perform the task (no file access, ambiguous requirements, task outside your scope), return this JSON **instead of** the normal output:

View file

@ -804,6 +804,21 @@ def run_pipeline(
error_message=exc_msg,
)
models.update_task(conn, task_id, status="blocked", blocked_reason=exc_msg)
try:
from core.telegram import send_telegram_escalation
project = models.get_project(conn, project_id)
project_name = project["name"] if project else project_id
sent = send_telegram_escalation(
task_id=task_id,
project_name=project_name,
agent_role=role,
reason=exc_msg,
pipeline_step=str(i + 1),
)
if sent:
models.mark_telegram_sent(conn, task_id)
except Exception:
pass # Telegram errors must never block pipeline
return {
"success": False,
"error": exc_msg,
@ -911,6 +926,21 @@ def run_pipeline(
blocked_agent_role=role,
blocked_pipeline_step=str(i + 1),
)
try:
from core.telegram import send_telegram_escalation
project = models.get_project(conn, project_id)
project_name = project["name"] if project else project_id
sent = send_telegram_escalation(
task_id=task_id,
project_name=project_name,
agent_role=role,
reason=blocked_info["reason"],
pipeline_step=str(i + 1),
)
if sent:
models.mark_telegram_sent(conn, task_id)
except Exception:
pass # Telegram errors must never block pipeline
error_msg = f"Step {i+1}/{len(steps)} ({role}) blocked: {blocked_info['reason']}"
return {
"success": False,