chore: migrate from opencode to trellis 0.5.0-rc.6

- Remove legacy .opencode/ directory and configuration
- Update .trellis/ to v0.5.0-rc.6 structure
- Refactor scripts: modularize common/, remove multi_agent/
- Add new common modules: git.py, io.py, log.py, types.py, etc.
- Update workflow.md and AGENTS.md
- Archive completed migration tasks
This commit is contained in:
zl-q
2026-05-06 14:29:25 +08:00
parent 4e234be647
commit 04b493ed09
102 changed files with 8377 additions and 9922 deletions
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Multi-Platform Sub-Agent Context Injection Hook
Injects task-specific context when sub-agents (implement, check, research) are spawned.
Core Design Philosophy:
- Hook is responsible for injecting all context, subagent works autonomously with complete info
- Each agent has a dedicated jsonl file defining its context
- No resume needed, no segmentation, behavior controlled by code not prompt
Trigger: PreToolUse (before Task tool call)
Context Source: Trellis active task resolver points to task directory
- implement.jsonl - Implement agent dedicated context
- check.jsonl - Check agent dedicated context
- prd.md - Requirements document
- info.md - Technical design
- codex-review-output.txt - Code Review results
"""
from __future__ import annotations
# IMPORTANT: Suppress all warnings FIRST
import warnings
warnings.filterwarnings("ignore")
import json
import os
import sys
from pathlib import Path
from typing import Any
# IMPORTANT: Force stdout to use UTF-8 on Windows
# This fixes UnicodeEncodeError when outputting non-ASCII characters
if sys.platform.startswith("win"):
import io as _io
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8", errors="replace") # type: ignore[union-attr]
elif hasattr(sys.stdout, "detach"):
sys.stdout = _io.TextIOWrapper(sys.stdout.detach(), encoding="utf-8", errors="replace") # type: ignore[union-attr]
# =============================================================================
# Path Constants (change here to rename directories)
# =============================================================================
DIR_WORKFLOW = ".trellis"
DIR_SPEC = "spec"
FILE_TASK_JSON = "task.json"
# =============================================================================
# Subagent Constants (change here to rename subagent types)
# =============================================================================
AGENT_IMPLEMENT = "trellis-implement"
AGENT_CHECK = "trellis-check"
AGENT_RESEARCH = "trellis-research"
# Agents that require a task directory
AGENTS_REQUIRE_TASK = (AGENT_IMPLEMENT, AGENT_CHECK)
# All supported agents
AGENTS_ALL = (AGENT_IMPLEMENT, AGENT_CHECK, AGENT_RESEARCH)
def find_repo_root(start_path: str) -> str | None:
"""
Find git repo root from start_path upwards
Returns:
Repo root path, or None if not found
"""
current = Path(start_path).resolve()
while current != current.parent:
if (current / ".git").exists():
return str(current)
current = current.parent
return None
def _detect_platform(input_data: dict) -> str | None:
if isinstance(input_data.get("cursor_version"), str):
return "cursor"
env_map = {
"CLAUDE_PROJECT_DIR": "claude",
"CURSOR_PROJECT_DIR": "cursor",
"CODEBUDDY_PROJECT_DIR": "codebuddy",
"FACTORY_PROJECT_DIR": "droid",
"GEMINI_PROJECT_DIR": "gemini",
"QODER_PROJECT_DIR": "qoder",
"KIRO_PROJECT_DIR": "kiro",
"COPILOT_PROJECT_DIR": "copilot",
}
for env_name, platform in env_map.items():
if os.environ.get(env_name):
return platform
script_parts = set(Path(sys.argv[0]).parts)
if ".claude" in script_parts:
return "claude"
if ".cursor" in script_parts:
return "cursor"
if ".gemini" in script_parts:
return "gemini"
if ".qoder" in script_parts:
return "qoder"
if ".codebuddy" in script_parts:
return "codebuddy"
if ".factory" in script_parts:
return "droid"
if ".kiro" in script_parts:
return "kiro"
return None
def get_current_task(repo_root: str, input_data: dict) -> str | None:
"""Resolve current task directory through the unified active task resolver."""
scripts_dir = Path(repo_root) / DIR_WORKFLOW / "scripts"
if str(scripts_dir) not in sys.path:
sys.path.insert(0, str(scripts_dir))
try:
from common.active_task import resolve_active_task # type: ignore[import-not-found]
except Exception:
return None
active = resolve_active_task(
Path(repo_root),
input_data,
platform=_detect_platform(input_data),
)
return active.task_path
def read_file_content(base_path: str, file_path: str) -> str | None:
"""Read file content, return None if file doesn't exist"""
full_path = os.path.join(base_path, file_path)
if os.path.exists(full_path) and os.path.isfile(full_path):
try:
with open(full_path, "r", encoding="utf-8") as f:
return f.read()
except Exception:
return None
return None
def read_directory_contents(
base_path: str, dir_path: str, max_files: int = 20
) -> list[tuple[str, str]]:
"""
Read all .md files in a directory
Args:
base_path: Base path (usually repo_root)
dir_path: Directory relative path
max_files: Max files to read (prevent huge directories)
Returns:
[(file_path, content), ...]
"""
full_path = os.path.join(base_path, dir_path)
if not os.path.exists(full_path) or not os.path.isdir(full_path):
return []
results = []
try:
# Only read .md files, sorted by filename
md_files = sorted(
[
f
for f in os.listdir(full_path)
if f.endswith(".md") and os.path.isfile(os.path.join(full_path, f))
]
)
for filename in md_files[:max_files]:
file_full_path = os.path.join(full_path, filename)
relative_path = os.path.join(dir_path, filename)
try:
with open(file_full_path, "r", encoding="utf-8") as f:
content = f.read()
results.append((relative_path, content))
except Exception:
continue
except Exception:
pass
return results
def read_jsonl_entries(base_path: str, jsonl_path: str) -> list[tuple[str, str]]:
"""
Read all file/directory contents referenced in jsonl file
Schema:
{"file": "path/to/file.md", "reason": "..."}
{"file": "path/to/dir/", "type": "directory", "reason": "..."}
{"_example": "..."} # seed row — skipped (no `file` field)
Rows without a ``file`` field (e.g. the self-describing seed line written
by ``task.py create`` before the agent has curated entries) are skipped
silently. If the resulting entry list is empty, a stderr warning is
emitted so the operator can debug missing context.
Returns:
[(path, content), ...]
"""
full_path = os.path.join(base_path, jsonl_path)
if not os.path.exists(full_path):
print(
f"[inject-subagent-context] WARN: {jsonl_path} not found — "
f"sub-agent will receive only prd.md",
file=sys.stderr,
)
return []
results = []
saw_real_entry = False
try:
with open(full_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
item = json.loads(line)
file_path = item.get("file") or item.get("path")
entry_type = item.get("type", "file")
if not file_path:
# Seed / comment row — skip silently
continue
saw_real_entry = True
if entry_type == "directory":
# Read all .md files in directory
dir_contents = read_directory_contents(base_path, file_path)
results.extend(dir_contents)
else:
# Read single file
content = read_file_content(base_path, file_path)
if content:
results.append((file_path, content))
except json.JSONDecodeError:
continue
except Exception:
pass
if not saw_real_entry:
print(
f"[inject-subagent-context] WARN: {jsonl_path} has no curated "
f"entries (only seed / empty) — sub-agent will receive only "
f"prd.md. See workflow.md Phase 1.3 for curation guidance.",
file=sys.stderr,
)
return results
def get_agent_context(repo_root: str, task_dir: str, agent_type: str) -> str:
"""
Get context from {agent_type}.jsonl for the specified agent.
Only reads implement.jsonl or check.jsonl (the two JSONL files the task system creates).
"""
context_parts = []
agent_jsonl = f"{task_dir}/{agent_type}.jsonl"
for file_path, content in read_jsonl_entries(repo_root, agent_jsonl):
context_parts.append(f"=== {file_path} ===\n{content}")
return "\n\n".join(context_parts)
def get_implement_context(repo_root: str, task_dir: str) -> str:
"""
Complete context for Implement Agent
Read order:
1. All files in implement.jsonl (dev specs)
2. prd.md (requirements)
3. info.md (technical design)
"""
context_parts = []
# 1. Read implement.jsonl
base_context = get_agent_context(repo_root, task_dir, "implement")
if base_context:
context_parts.append(base_context)
# 2. Requirements document
prd_content = read_file_content(repo_root, f"{task_dir}/prd.md")
if prd_content:
context_parts.append(f"=== {task_dir}/prd.md (Requirements) ===\n{prd_content}")
# 3. Technical design
info_content = read_file_content(repo_root, f"{task_dir}/info.md")
if info_content:
context_parts.append(
f"=== {task_dir}/info.md (Technical Design) ===\n{info_content}"
)
return "\n\n".join(context_parts)
def get_check_context(repo_root: str, task_dir: str) -> str:
"""
Context for Check Agent: check.jsonl + prd.md
"""
context_parts = []
for file_path, content in read_jsonl_entries(repo_root, f"{task_dir}/check.jsonl"):
context_parts.append(f"=== {file_path} ===\n{content}")
prd_content = read_file_content(repo_root, f"{task_dir}/prd.md")
if prd_content:
context_parts.append(f"=== {task_dir}/prd.md (Requirements) ===\n{prd_content}")
return "\n\n".join(context_parts)
def get_finish_context(repo_root: str, task_dir: str) -> str:
"""
Context for Finish phase: reuses check.jsonl + prd.md
(Finish is a final check, same context source.)
"""
return get_check_context(repo_root, task_dir)
def build_implement_prompt(original_prompt: str, context: str) -> str:
"""Build complete prompt for Implement"""
return f"""# Implement Agent Task
You are the Implement Agent in the Multi-Agent Pipeline.
## Your Context
All the information you need has been prepared for you:
{context}
---
## Your Task
{original_prompt}
---
## Workflow
1. **Understand specs** - All dev specs are injected above, understand them
2. **Understand requirements** - Read requirements document and technical design
3. **Implement feature** - Implement following specs and design
4. **Self-check** - Ensure code quality against check specs
## Important Constraints
- Do NOT execute git commit, only code modifications
- Follow all dev specs injected above
- Report list of modified/created files when done"""
def build_check_prompt(original_prompt: str, context: str) -> str:
"""Build complete prompt for Check"""
return f"""# Check Agent Task
You are the Check Agent in the Multi-Agent Pipeline (code and cross-layer checker).
## Your Context
All check specs and dev specs you need:
{context}
---
## Your Task
{original_prompt}
---
## Workflow
1. **Get changes** - Run `git diff --name-only` and `git diff` to get code changes
2. **Check against specs** - Check item by item against specs above
3. **Self-fix** - Fix issues directly, don't just report
4. **Run verification** - Run project's lint and typecheck commands
## Important Constraints
- Fix issues yourself, don't just report
- Must execute complete checklist in check specs
- Pay special attention to impact radius analysis (L1-L5)"""
def build_finish_prompt(original_prompt: str, context: str) -> str:
"""Build complete prompt for Finish (final check before PR)"""
return f"""# Finish Agent Task
You are performing the final check before creating a PR.
## Your Context
Finish checklist and requirements:
{context}
---
## Your Task
{original_prompt}
---
## Workflow
1. **Review changes** - Run `git diff --name-only` to see all changed files
2. **Verify requirements** - Check each requirement in prd.md is implemented
3. **Spec sync** - Analyze whether changes introduce new patterns, contracts, or conventions
- If new pattern/convention found: read target spec file → update it → update index.md if needed
- If infra/cross-layer change: follow the 7-section mandatory template from update-spec.md
- If pure code fix with no new patterns: skip this step
4. **Run final checks** - Execute lint and typecheck
5. **Confirm ready** - Ensure code is ready for PR
## Important Constraints
- You MAY update spec files when gaps are detected (use update-spec.md as guide)
- MUST read the target spec file BEFORE editing (avoid duplicating existing content)
- Do NOT update specs for trivial changes (typos, formatting, obvious fixes)
- If critical CODE issues found, report them clearly (fix specs, not code)
- Verify all acceptance criteria in prd.md are met"""
def get_research_context(repo_root: str, task_dir: str | None) -> str:
"""
Context for Research Agent — project structure overview for spec directories.
`task_dir` kept for signature parity with get_implement_context / get_check_context
so the dispatcher can call them uniformly.
"""
_ = task_dir
context_parts = []
# 1. Project structure overview (dynamically discover spec directories)
spec_path = f"{DIR_WORKFLOW}/{DIR_SPEC}"
spec_root = Path(repo_root) / DIR_WORKFLOW / DIR_SPEC
# Build spec tree dynamically
tree_lines = [f"{spec_path}/"]
if spec_root.is_dir():
pkg_dirs = sorted(d for d in spec_root.iterdir() if d.is_dir())
for i, pkg_dir in enumerate(pkg_dirs):
is_last = i == len(pkg_dirs) - 1
prefix = "└── " if is_last else "├── "
layers = sorted(d.name for d in pkg_dir.iterdir() if d.is_dir())
layer_info = f" ({', '.join(layers)})" if layers else ""
tree_lines.append(f"{prefix}{pkg_dir.name}/{layer_info}")
spec_tree = "\n".join(tree_lines)
project_structure = f"""## Project Spec Directory Structure
```
{spec_tree}
```
To get structured package info, run: `python3 ./{DIR_WORKFLOW}/scripts/get_context.py --mode packages`
## Search Tips
- Spec files: `{spec_path}/**/*.md`
- Code search: Use Glob and Grep tools
- Tech solutions: Use mcp__exa__web_search_exa or mcp__exa__get_code_context_exa"""
context_parts.append(project_structure)
return "\n\n".join(context_parts)
def build_research_prompt(original_prompt: str, context: str) -> str:
"""Build complete prompt for Research"""
return f"""# Research Agent Task
You are the Research Agent in the Multi-Agent Pipeline (search researcher).
## Core Principle
**You do one thing: find and explain information.**
You are a documenter, not a reviewer.
## Project Info
{context}
---
## Your Task
{original_prompt}
---
## Workflow
1. **Understand query** - Determine search type (internal/external) and scope
2. **Plan search** - List search steps for complex queries
3. **Execute search** - Execute multiple independent searches in parallel
4. **Organize results** - Output structured report
## Search Tools
| Tool | Purpose |
|------|---------|
| Glob | Search by filename pattern |
| Grep | Search by content |
| Read | Read file content |
| mcp__exa__web_search_exa | External web search |
| mcp__exa__get_code_context_exa | External code/doc search |
## Strict Boundaries
**Only allowed**: Describe what exists, where it is, how it works
**Forbidden** (unless explicitly asked):
- Suggest improvements
- Criticize implementation
- Recommend refactoring
- Modify any files
## Report Format
Provide structured search results including:
- List of files found (with paths)
- Code pattern analysis (if applicable)
- Related spec documents
- External references (if any)"""
def _string_value(value: Any) -> str:
if isinstance(value, str):
stripped = value.strip()
return stripped
return ""
def _extract_subagent_name(value: Any) -> str:
"""Extract a sub-agent name from common platform encodings.
Cursor's native Task args encode custom sub-agents as a protobuf oneof,
which can appear in hook JSON as either ``{"custom": {"name": "..."}}``
or ``{"type": {"case": "custom", "value": {"name": "..."}}}``.
"""
direct = _string_value(value)
if direct:
return direct
if not isinstance(value, dict):
return ""
for key in ("name", "subagent_type_name", "subagentTypeName"):
direct = _string_value(value.get(key))
if direct:
return direct
custom = value.get("custom")
if isinstance(custom, dict):
custom_name = _string_value(custom.get("name"))
if custom_name:
return custom_name
oneof = value.get("type")
if isinstance(oneof, dict):
case_name = _string_value(oneof.get("case"))
if case_name == "custom":
nested_value = oneof.get("value")
if isinstance(nested_value, dict):
custom_name = _string_value(nested_value.get("name"))
if custom_name:
return custom_name
if case_name:
return case_name
case_name = _string_value(value.get("case"))
if case_name == "custom":
nested_value = value.get("value")
if isinstance(nested_value, dict):
custom_name = _string_value(nested_value.get("name"))
if custom_name:
return custom_name
if case_name:
return case_name
for agent_name in AGENTS_ALL:
if agent_name in value:
return agent_name
return ""
def _extract_subagent_type(tool_input: dict) -> str:
for key in (
"subagent_type",
"subagentType",
"subagent_type_name",
"subagentTypeName",
"agent_type",
"agentType",
"name",
):
agent_name = _extract_subagent_name(tool_input.get(key))
if agent_name:
return agent_name
return ""
def _parse_hook_input(input_data: dict) -> tuple[str, str, dict]:
"""Parse hook input across different platform formats.
Returns (subagent_type, original_prompt, tool_input).
Handles:
- Claude Code / Qoder / CodeBuddy / Droid: tool_name=Task|Agent, tool_input.subagent_type
- Cursor: tool_name=Task|Subagent, tool_input.subagent_type
- Copilot CLI: toolName=task (camelCase key, lowercase value)
- Gemini CLI: tool_name IS the agent name (BeforeTool matcher already filtered)
- Kiro: agentSpawn hook, agent_name field at top level
"""
tool_input = input_data.get("tool_input", {})
# Standard format: Task/Agent tool with subagent_type
tool_name = input_data.get("tool_name", "") or input_data.get("toolName", "")
if tool_name.lower() in ("task", "agent", "subagent"):
return (
_extract_subagent_type(tool_input),
tool_input.get("prompt", ""),
tool_input,
)
# Kiro: agentSpawn hook passes agent_name at top level
agent_name = input_data.get("agent_name", "")
if agent_name:
return agent_name, tool_input.get("prompt", input_data.get("prompt", "")), tool_input
# Gemini CLI: BeforeTool where tool_name IS the agent name
# (matcher already ensured it's one of our agents)
if tool_name in AGENTS_ALL:
return tool_name, tool_input.get("prompt", ""), tool_input
# Copilot CLI: toolName field (camelCase), value might be the agent name
tool_name_camel = input_data.get("toolName", "")
if tool_name_camel in AGENTS_ALL:
return tool_name_camel, input_data.get("toolArgs", ""), tool_input
return "", "", tool_input
def main():
if os.environ.get("TRELLIS_HOOKS") == "0" or os.environ.get("TRELLIS_DISABLE_HOOKS") == "1":
sys.exit(0)
try:
input_data = json.load(sys.stdin)
except json.JSONDecodeError:
sys.exit(0)
subagent_type, original_prompt, tool_input = _parse_hook_input(input_data)
cwd = input_data.get("cwd", os.getcwd())
# Only handle subagent types we care about
if subagent_type not in AGENTS_ALL:
sys.exit(0)
# Find repo root
repo_root = find_repo_root(cwd)
if not repo_root:
sys.exit(0)
# Get current task directory (research doesn't require it)
task_dir = get_current_task(repo_root, input_data)
# implement/check need task directory
if subagent_type in AGENTS_REQUIRE_TASK:
if not task_dir:
sys.exit(0)
# Check if task directory exists
task_dir_full = os.path.join(repo_root, task_dir)
if not os.path.exists(task_dir_full):
sys.exit(0)
# Check for [finish] marker in prompt (check agent with finish context)
is_finish_phase = "[finish]" in original_prompt.lower()
# Get context and build prompt based on subagent type
if subagent_type == AGENT_IMPLEMENT:
assert task_dir is not None # validated above
context = get_implement_context(repo_root, task_dir)
new_prompt = build_implement_prompt(original_prompt, context)
elif subagent_type == AGENT_CHECK:
assert task_dir is not None # validated above
if is_finish_phase:
# Finish phase: use finish context (lighter, focused on final verification)
context = get_finish_context(repo_root, task_dir)
new_prompt = build_finish_prompt(original_prompt, context)
else:
# Regular check phase: use check context (full specs for self-fix loop)
context = get_check_context(repo_root, task_dir)
new_prompt = build_check_prompt(original_prompt, context)
elif subagent_type == AGENT_RESEARCH:
# Research can work without task directory
context = get_research_context(repo_root, task_dir)
new_prompt = build_research_prompt(original_prompt, context)
else:
sys.exit(0)
if not context:
sys.exit(0)
# Return updated input — use a multi-format output that covers all platforms.
# Most platforms ignore unrecognized fields, so we include multiple formats.
# The platform picks whichever fields it understands.
updated = {**tool_input, "prompt": new_prompt}
output = {
# Claude Code / Qoder / CodeBuddy / Droid format
"hookSpecificOutput": {
"hookEventName": "PreToolUse",
"permissionDecision": "allow",
"updatedInput": updated,
},
# Cursor format
"permission": "allow",
"updated_input": updated,
# Gemini format
"updatedInput": updated,
}
print(json.dumps(output, ensure_ascii=False))
sys.exit(0)
if __name__ == "__main__":
main()
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#!/usr/bin/env python3
"""Trellis per-turn breadcrumb hook (UserPromptSubmit / BeforeAgent equivalent).
Runs on every user prompt. Resolves the active task through Trellis'
session-aware active task resolver and emits a short <workflow-state>
block reminding the main AI what task is active and its expected flow.
The emitted ``hookEventName`` field is platform-aware: most hosts expect
``UserPromptSubmit`` (Claude Code naming, also accepted by Cursor / Qoder /
CodeBuddy / Droid / Codex / Copilot wiring), but Gemini CLI 0.40.x renamed
its per-turn event to ``BeforeAgent`` and its schema validator rejects the
legacy name. ``_detect_platform`` picks the right value at runtime.
Breadcrumb text is pulled exclusively from workflow.md
[workflow-state:STATUS] tag blocks — workflow.md is the single source of
truth. There are no fallback dicts in this script: when workflow.md is
missing or a tag is absent, the breadcrumb degrades to a generic
"Refer to workflow.md for current step." line so users see (and fix)
the broken state instead of the hook silently masking it.
Shared across all hook-capable platforms (Claude, Cursor, Codex, Qoder,
CodeBuddy, Droid, Gemini, Copilot). Kiro is not wired (no per-turn
hook entry point). Written to each platform's hooks directory via
writeSharedHooks() at init time.
Silent exit 0 cases (no output):
- No .trellis/ directory found (not a Trellis project)
- task.json malformed or missing status
"""
from __future__ import annotations
import json
import os
import re
import sys
from pathlib import Path
from typing import Optional
# ---------------------------------------------------------------------------
# CWD-robust Trellis root discovery (fixes hook-path-robustness for this hook)
# ---------------------------------------------------------------------------
def find_trellis_root(start: Path) -> Optional[Path]:
"""Walk up from start to find directory containing .trellis/.
Handles CWD drift: subdirectory launches, monorepo packages, etc.
Returns None if no .trellis/ found (silent no-op).
"""
cur = start.resolve()
while cur != cur.parent:
if (cur / ".trellis").is_dir():
return cur
cur = cur.parent
return None
# ---------------------------------------------------------------------------
# Active task discovery
# ---------------------------------------------------------------------------
def _detect_platform(input_data: dict) -> str | None:
if isinstance(input_data.get("cursor_version"), str):
return "cursor"
env_map = {
"CLAUDE_PROJECT_DIR": "claude",
"CURSOR_PROJECT_DIR": "cursor",
"CODEBUDDY_PROJECT_DIR": "codebuddy",
"FACTORY_PROJECT_DIR": "droid",
"GEMINI_PROJECT_DIR": "gemini",
"QODER_PROJECT_DIR": "qoder",
"KIRO_PROJECT_DIR": "kiro",
"COPILOT_PROJECT_DIR": "copilot",
}
for env_name, platform in env_map.items():
if os.environ.get(env_name):
return platform
script_parts = set(Path(sys.argv[0]).parts)
if ".claude" in script_parts:
return "claude"
if ".cursor" in script_parts:
return "cursor"
if ".codex" in script_parts:
return "codex"
if ".gemini" in script_parts:
return "gemini"
if ".qoder" in script_parts:
return "qoder"
if ".codebuddy" in script_parts:
return "codebuddy"
if ".factory" in script_parts:
return "droid"
if ".kiro" in script_parts:
return "kiro"
return None
def _resolve_active_task(root: Path, input_data: dict):
scripts_dir = root / ".trellis" / "scripts"
if str(scripts_dir) not in sys.path:
sys.path.insert(0, str(scripts_dir))
from common.active_task import resolve_active_task # type: ignore[import-not-found]
return resolve_active_task(root, input_data, platform=_detect_platform(input_data))
def get_active_task(root: Path, input_data: dict) -> Optional[tuple[str, str, str]]:
"""Return (task_id, status, source) from the current active task."""
active = _resolve_active_task(root, input_data)
if not active.task_path:
return None
task_dir = Path(active.task_path)
if not task_dir.is_absolute():
task_dir = root / task_dir
if active.stale:
return task_dir.name, f"stale_{active.source_type}", active.source
task_json = task_dir / "task.json"
if not task_json.is_file():
return None
try:
data = json.loads(task_json.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError):
return None
task_id = data.get("id") or task_dir.name
status = data.get("status", "")
if not isinstance(status, str) or not status:
return None
return task_id, status, active.source
# ---------------------------------------------------------------------------
# Breadcrumb loading: parse workflow.md, fall back to hardcoded defaults
# ---------------------------------------------------------------------------
# Supports STATUS values with letters, digits, underscores, hyphens
# (so "in-review" / "blocked-by-team" work alongside "in_progress").
_TAG_RE = re.compile(
r"\[workflow-state:([A-Za-z0-9_-]+)\]\s*\n(.*?)\n\s*\[/workflow-state:\1\]",
re.DOTALL,
)
def load_breadcrumbs(root: Path) -> dict[str, str]:
"""Parse workflow.md for [workflow-state:STATUS] blocks.
Returns {status: body_text}. workflow.md is the single source of
truth — there are no fallback dicts in this script. Missing tags
(or a missing/unreadable workflow.md) fall back to a generic line
in build_breadcrumb so users see the broken state and fix
workflow.md, rather than the hook silently masking the issue.
"""
workflow = root / ".trellis" / "workflow.md"
if not workflow.is_file():
return {}
try:
content = workflow.read_text(encoding="utf-8")
except OSError:
return {}
result: dict[str, str] = {}
for match in _TAG_RE.finditer(content):
status = match.group(1)
body = match.group(2).strip()
if body:
result[status] = body
return result
def build_breadcrumb(
task_id: Optional[str],
status: str,
templates: dict[str, str],
source: str | None = None,
) -> str:
"""Build the <workflow-state>...</workflow-state> block.
- Known status (tag present in workflow.md) → detailed template body
- Unknown status (no tag, or workflow.md missing) → generic
"Refer to workflow.md for current step." line
- `no_task` pseudo-status (task_id is None) → header omits task info
"""
body = templates.get(status)
if body is None:
body = "Refer to workflow.md for current step."
header = f"Status: {status}" if task_id is None else f"Task: {task_id} ({status})"
if source:
header = f"{header}\nSource: {source}"
return f"<workflow-state>\n{header}\n{body}\n</workflow-state>"
# ---------------------------------------------------------------------------
# Entry
# ---------------------------------------------------------------------------
def main() -> int:
if os.environ.get("TRELLIS_HOOKS") == "0" or os.environ.get("TRELLIS_DISABLE_HOOKS") == "1":
return 0
try:
data = json.load(sys.stdin)
except (json.JSONDecodeError, ValueError):
data = {}
cwd_str = data.get("cwd") or os.getcwd()
cwd = Path(cwd_str)
root = find_trellis_root(cwd)
if root is None:
return 0 # not a Trellis project
templates = load_breadcrumbs(root)
task = get_active_task(root, data)
if task is None:
# No active task — still emit a breadcrumb nudging AI toward
# trellis-brainstorm + task.py create when user describes real work.
breadcrumb = build_breadcrumb(None, "no_task", templates)
else:
task_id, status, source = task
breadcrumb = build_breadcrumb(task_id, status, templates, source)
# Gemini CLI 0.40.x rejects "UserPromptSubmit" — its per-turn event is
# named "BeforeAgent". Other platforms (Claude/Cursor/Qoder/CodeBuddy/
# Droid/Codex/Copilot) accept the original Claude-style name.
hook_event_name = (
"BeforeAgent" if _detect_platform(data) == "gemini" else "UserPromptSubmit"
)
output = {
"hookSpecificOutput": {
"hookEventName": hook_event_name,
"additionalContext": breadcrumb,
}
}
print(json.dumps(output))
return 0
if __name__ == "__main__":
sys.exit(main())
+769
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@@ -0,0 +1,769 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Session Start Hook - Inject structured context
"""
from __future__ import annotations
# IMPORTANT: Suppress all warnings FIRST
import warnings
warnings.filterwarnings("ignore")
import json
import os
import re
import shlex
import subprocess
import sys
from io import StringIO
from pathlib import Path
def _normalize_windows_shell_path(path_str: str) -> str:
"""Normalize Unix-style shell paths to real Windows paths.
On Windows, shells like Git Bash / MSYS2 / Cygwin may report paths like
`/d/Users/...` or `/cygdrive/d/Users/...`. `Path.resolve()` will misinterpret
these as `D:/d/Users...` on drive D: (or similar), breaking repo root
detection.
This function is intentionally conservative: it only rewrites patterns that
unambiguously represent a drive letter mount.
"""
if not isinstance(path_str, str) or not path_str:
return path_str
# Only relevant on Windows; keep other platforms untouched.
if not sys.platform.startswith("win"):
return path_str
p = path_str.strip()
# Already a Windows drive path (C:\... or C:/...)
if re.match(r"^[A-Za-z]:[\/]", p):
return p
# MSYS/Git-Bash style: /c/Users/... or /d/Work/...
m = re.match(r"^/([A-Za-z])/(.*)", p)
if m:
drive, rest = m.group(1).upper(), m.group(2)
return f"{drive}:\\{rest.replace('/', '\\')}"
# Cygwin style: /cygdrive/c/Users/...
m = re.match(r"^/cygdrive/([A-Za-z])/(.*)", p)
if m:
drive, rest = m.group(1).upper(), m.group(2)
return f"{drive}:\\{rest.replace('/', '\\')}"
# WSL mounted drive (sometimes leaked into env): /mnt/c/Users/...
m = re.match(r"^/mnt/([A-Za-z])/(.*)", p)
if m:
drive, rest = m.group(1).upper(), m.group(2)
return f"{drive}:\\{rest.replace('/', '\\')}"
return path_str
FIRST_REPLY_NOTICE = """<first-reply-notice>
On the first visible assistant reply in this session, begin with exactly one short Chinese sentence:
Trellis SessionStart 已注入:workflow、当前任务状态、开发者身份、git 状态、active tasks、spec 索引已加载。
Then continue directly with the user's request. This notice is one-shot: do not repeat it after the first assistant reply in the same session.
</first-reply-notice>"""
# IMPORTANT: Force stdout to use UTF-8 on Windows
# This fixes UnicodeEncodeError when outputting non-ASCII characters
if sys.platform.startswith("win"):
import io as _io
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8", errors="replace") # type: ignore[union-attr]
elif hasattr(sys.stdout, "detach"):
sys.stdout = _io.TextIOWrapper(sys.stdout.detach(), encoding="utf-8", errors="replace") # type: ignore[union-attr]
def _has_curated_jsonl_entry(jsonl_path: Path) -> bool:
"""Return True iff jsonl has at least one row with a ``file`` field.
A freshly seeded jsonl only contains a ``{"_example": ...}`` row (no
``file`` key) — that is NOT "ready". Readiness requires at least one
curated entry. Matches the contract used by hook-inject and pull-based
sub-agent context loaders.
"""
try:
for line in jsonl_path.read_text(encoding="utf-8").splitlines():
line = line.strip()
if not line:
continue
try:
row = json.loads(line)
except json.JSONDecodeError:
continue
if isinstance(row, dict) and row.get("file"):
return True
except (OSError, UnicodeDecodeError):
return False
return False
def should_skip_injection() -> bool:
"""Check if any platform's non-interactive flag is set, or if Trellis
hooks are explicitly disabled via TRELLIS_HOOKS=0 / TRELLIS_DISABLE_HOOKS=1.
"""
if os.environ.get("TRELLIS_HOOKS") == "0":
return True
if os.environ.get("TRELLIS_DISABLE_HOOKS") == "1":
return True
non_interactive_vars = [
"CLAUDE_NON_INTERACTIVE",
"QODER_NON_INTERACTIVE",
"CODEBUDDY_NON_INTERACTIVE",
"FACTORY_NON_INTERACTIVE",
"CURSOR_NON_INTERACTIVE",
"GEMINI_NON_INTERACTIVE",
"KIRO_NON_INTERACTIVE",
"COPILOT_NON_INTERACTIVE",
]
return any(os.environ.get(var) == "1" for var in non_interactive_vars)
def read_file(path: Path, fallback: str = "") -> str:
try:
return path.read_text(encoding="utf-8")
except (FileNotFoundError, PermissionError):
return fallback
def _detect_platform(input_data: dict) -> str | None:
if isinstance(input_data.get("cursor_version"), str):
return "cursor"
env_map = {
"CLAUDE_PROJECT_DIR": "claude",
"CURSOR_PROJECT_DIR": "cursor",
"CODEBUDDY_PROJECT_DIR": "codebuddy",
"FACTORY_PROJECT_DIR": "droid",
"GEMINI_PROJECT_DIR": "gemini",
"QODER_PROJECT_DIR": "qoder",
"KIRO_PROJECT_DIR": "kiro",
"COPILOT_PROJECT_DIR": "copilot",
}
for env_name, platform in env_map.items():
if os.environ.get(env_name):
return platform
script_parts = set(Path(sys.argv[0]).parts)
if ".claude" in script_parts:
return "claude"
if ".cursor" in script_parts:
return "cursor"
if ".codex" in script_parts:
return "codex"
if ".gemini" in script_parts:
return "gemini"
if ".qoder" in script_parts:
return "qoder"
if ".codebuddy" in script_parts:
return "codebuddy"
if ".factory" in script_parts:
return "droid"
if ".kiro" in script_parts:
return "kiro"
return None
def _resolve_context_key(trellis_dir: Path, input_data: dict) -> str | None:
scripts_dir = trellis_dir / "scripts"
if str(scripts_dir) not in sys.path:
sys.path.insert(0, str(scripts_dir))
from common.active_task import resolve_context_key # type: ignore[import-not-found]
return resolve_context_key(input_data, platform=_detect_platform(input_data))
def _persist_context_key_for_bash(context_key: str | None) -> None:
"""Expose Trellis session identity to later Claude Code Bash commands.
Claude Code SessionStart hooks can append exports to CLAUDE_ENV_FILE; those
variables are then available to Bash tools in the same conversation. Without
this bridge, `task.py start` has hook stdin during SessionStart but no
session identity when the AI later runs it as a normal shell command.
"""
if not context_key:
return
env_file = os.environ.get("CLAUDE_ENV_FILE")
if not env_file:
return
try:
with open(env_file, "a", encoding="utf-8") as handle:
handle.write(f"export TRELLIS_CONTEXT_ID={shlex.quote(context_key)}\n")
except OSError:
pass
def _resolve_active_task(trellis_dir: Path, input_data: dict):
scripts_dir = trellis_dir / "scripts"
if str(scripts_dir) not in sys.path:
sys.path.insert(0, str(scripts_dir))
from common.active_task import resolve_active_task # type: ignore[import-not-found]
return resolve_active_task(
trellis_dir.parent,
input_data,
platform=_detect_platform(input_data),
)
def run_script(script_path: Path, context_key: str | None = None) -> str:
try:
if script_path.suffix == ".py":
# Add PYTHONIOENCODING to force UTF-8 in subprocess
env = os.environ.copy()
env["PYTHONIOENCODING"] = "utf-8"
if context_key:
env["TRELLIS_CONTEXT_ID"] = context_key
cmd = [sys.executable, "-W", "ignore", str(script_path)]
else:
env = os.environ.copy()
if context_key:
env["TRELLIS_CONTEXT_ID"] = context_key
cmd = [str(script_path)]
result = subprocess.run(
cmd,
capture_output=True,
text=True,
encoding="utf-8",
errors="replace",
timeout=5,
cwd=script_path.parent.parent.parent,
env=env,
)
return result.stdout if result.returncode == 0 else "No context available"
except (subprocess.TimeoutExpired, FileNotFoundError, PermissionError):
return "No context available"
def _normalize_task_ref(task_ref: str) -> str:
normalized = task_ref.strip()
if not normalized:
return ""
path_obj = Path(normalized)
if path_obj.is_absolute():
return str(path_obj)
normalized = normalized.replace("\\", "/")
while normalized.startswith("./"):
normalized = normalized[2:]
if normalized.startswith("tasks/"):
return f".trellis/{normalized}"
return normalized
def _resolve_task_dir(trellis_dir: Path, task_ref: str) -> Path:
normalized = _normalize_task_ref(task_ref)
path_obj = Path(normalized)
if path_obj.is_absolute():
return path_obj
if normalized.startswith(".trellis/"):
return trellis_dir.parent / path_obj
return trellis_dir / "tasks" / path_obj
def _get_task_status(trellis_dir: Path, input_data: dict) -> str:
"""Check current task status and return structured status string with explicit next action.
Returns a block with three fields:
- Status: current state
- Task: task identifier (when applicable)
- Next-Action: explicit skill/command/tool call the AI should invoke
"""
active = _resolve_active_task(trellis_dir, input_data)
# Case 1: No active task — waiting for user to describe intent
if not active.task_path:
return (
"Status: NO ACTIVE TASK\n"
f"Source: {active.source}\n"
"Next-Action: After the user describes their intent, load skill `trellis-brainstorm` "
"to clarify requirements and create a task via `python3 ./.trellis/scripts/task.py create`.\n"
"Research reminder: for research-heavy tasks (comparing tools, reading external docs, "
"cross-platform surveys), spawn `trellis-research` sub-agents via the Task tool — "
"they persist findings to `{TASK_DIR}/research/*.md` and keep main context clean. "
"Do NOT do 10+ inline WebFetch/WebSearch in the main conversation.\n"
"User override (per-turn escape hatch): if the user's first message explicitly opts "
"out of the workflow (\"跳过 trellis\" / \"别走流程\" / \"小修一下\" / \"直接改\" / "
"\"skip trellis\" / \"no task\" / \"just do it\"), honor it for this turn — "
"acknowledge briefly and proceed without creating a task. Per-turn only."
)
# Case 2: Stale pointer — task dir was deleted
task_ref = active.task_path
task_dir = _resolve_task_dir(trellis_dir, task_ref)
if active.stale or not task_dir.is_dir():
return (
f"Status: STALE POINTER\nTask: {task_ref}\n"
f"Source: {active.source}\n"
f"Next-Action: Run `python3 ./.trellis/scripts/task.py finish` to clear the stale pointer, "
"then ask the user what to work on next."
)
# Read task.json
task_json_path = task_dir / "task.json"
task_data = {}
if task_json_path.is_file():
try:
task_data = json.loads(task_json_path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, PermissionError):
pass
task_title = task_data.get("title", task_ref)
task_status = task_data.get("status", "unknown")
# Case 3: Task completed — time to archive
if task_status == "completed":
return (
f"Status: COMPLETED\nTask: {task_title}\n"
f"Source: {active.source}\n"
f"Next-Action: Load skill `trellis-update-spec` to capture learnings, "
f"then archive with `python3 ./.trellis/scripts/task.py archive {task_dir.name}`."
)
has_prd = (task_dir / "prd.md").is_file()
# Case 4: No PRD — still in Plan phase
if not has_prd:
return (
f"Status: PLANNING\nTask: {task_title}\n"
f"Source: {active.source}\n"
"Next-Action: Load skill `trellis-brainstorm` to clarify requirements with the user "
"and produce prd.md in the task directory.\n"
"Research reminder: when the task needs external research (tool comparison, docs, "
"conventions survey), spawn `trellis-research` sub-agents — don't WebFetch/WebSearch "
"inline in the main session. Findings go to `{task_dir}/research/*.md`; PRD only links to them."
)
# Case 4b: PRD exists but implement.jsonl has only seed (no curated entries) — Phase 1.3 gate
implement_jsonl = task_dir / "implement.jsonl"
if implement_jsonl.is_file() and not _has_curated_jsonl_entry(implement_jsonl):
return (
f"Status: PLANNING (Phase 1.3)\nTask: {task_title}\n"
f"Source: {active.source}\n"
"Next-Action: Curate `implement.jsonl` and `check.jsonl` with the spec + research files "
"the Phase 2 sub-agents will need. Only spec paths (`.trellis/spec/**/*.md`) and research "
"files (`{TASK_DIR}/research/*.md`) — no code paths. Run "
"`python3 ./.trellis/scripts/get_context.py --mode packages` to list available specs, "
"then edit the jsonl files or use `python3 ./.trellis/scripts/task.py add-context`. "
"See `.trellis/workflow.md` Phase 1.3 for details."
)
# Case 5: PRD + curated jsonl (or agent-less platform with no jsonl) — enter Execute phase
return (
f"Status: READY\nTask: {task_title}\n"
f"Source: {active.source}\n"
"Next required action: dispatch `trellis-implement` per Phase 2.1. "
"For agent-capable platforms, the default is to NOT edit code in the main session. "
"After implementation, dispatch `trellis-check` per Phase 2.2 before reporting completion.\n"
"Sub-agent roster: `trellis-implement` (writes code), `trellis-check` (verifies + self-fixes), "
"`trellis-research` (persists findings to `research/*.md` — use when you'd otherwise do "
"multiple WebFetch/WebSearch inline).\n"
"User override (per-turn escape hatch): if the user's CURRENT message explicitly tells the "
"main session to handle it directly (\"你直接改\" / \"别派 sub-agent\" / \"main session 写就行\" / "
"\"do it inline\" / \"不用 sub-agent\"), honor it for this turn and edit code directly. "
"Per-turn only; do NOT invent an override the user did not say."
)
def _load_trellis_config(trellis_dir: Path, input_data: dict) -> tuple:
"""Load Trellis config for session-start decisions.
Returns:
(is_mono, packages_dict, spec_scope, task_pkg, default_pkg)
"""
scripts_dir = trellis_dir / "scripts"
if str(scripts_dir) not in sys.path:
sys.path.insert(0, str(scripts_dir))
try:
from common.config import get_default_package, get_packages, get_spec_scope, is_monorepo # type: ignore[import-not-found]
from common.paths import get_current_task # type: ignore[import-not-found]
repo_root = trellis_dir.parent
is_mono = is_monorepo(repo_root)
packages = get_packages(repo_root) or {}
scope = get_spec_scope(repo_root)
# Get active task's package
task_pkg = None
current = get_current_task(
repo_root,
input_data,
platform=_detect_platform(input_data),
)
if current:
task_json = repo_root / current / "task.json"
if task_json.is_file():
try:
data = json.loads(task_json.read_text(encoding="utf-8"))
if isinstance(data, dict):
tp = data.get("package")
if isinstance(tp, str) and tp:
task_pkg = tp
except (json.JSONDecodeError, OSError):
pass
default_pkg = get_default_package(repo_root)
return is_mono, packages, scope, task_pkg, default_pkg
except Exception:
return False, {}, None, None, None
def _check_legacy_spec(trellis_dir: Path, is_mono: bool, packages: dict) -> str | None:
"""Check for legacy spec directory structure in monorepo.
Returns warning message if legacy structure detected, None otherwise.
"""
if not is_mono or not packages:
return None
spec_dir = trellis_dir / "spec"
if not spec_dir.is_dir():
return None
# Check for legacy flat spec dirs (spec/backend/, spec/frontend/ with index.md)
has_legacy = False
for legacy_name in ("backend", "frontend"):
legacy_dir = spec_dir / legacy_name
if legacy_dir.is_dir() and (legacy_dir / "index.md").is_file():
has_legacy = True
break
if not has_legacy:
return None
# Check which packages are missing spec/<pkg>/ directory
missing = [
name for name in sorted(packages.keys())
if not (spec_dir / name).is_dir()
]
if not missing:
return None # All packages have spec dirs
if len(missing) == len(packages):
return (
f"[!] Legacy spec structure detected: found `spec/backend/` or `spec/frontend/` "
f"but no package-scoped `spec/<package>/` directories.\n"
f"Monorepo packages: {', '.join(sorted(packages.keys()))}\n"
f"Please reorganize: `spec/backend/` -> `spec/<package>/backend/`"
)
return (
f"[!] Partial spec migration detected: packages {', '.join(missing)} "
f"still missing `spec/<pkg>/` directory.\n"
f"Please complete migration for all packages."
)
def _resolve_spec_scope(
is_mono: bool,
packages: dict,
scope,
task_pkg: str | None,
default_pkg: str | None,
) -> set | None:
"""Resolve which packages should have their specs injected.
Returns:
Set of package names to include, or None for full scan.
"""
if not is_mono or not packages:
return None # Single-repo: full scan
if scope is None:
return None # No scope configured: full scan
if isinstance(scope, str) and scope == "active_task":
if task_pkg and task_pkg in packages:
return {task_pkg}
if default_pkg and default_pkg in packages:
return {default_pkg}
return None # Fallback to full scan
if isinstance(scope, list):
valid = set()
for entry in scope:
if entry in packages:
valid.add(entry)
else:
print(
f"Warning: spec_scope contains unknown package: {entry}, ignoring",
file=sys.stderr,
)
if valid:
# Warn if active task is out of scope
if task_pkg and task_pkg not in valid:
print(
f"Warning: active task package '{task_pkg}' is out of configured spec_scope",
file=sys.stderr,
)
return valid
# All entries invalid: fallback chain
print(
"Warning: all spec_scope entries invalid, falling back to task/default/full",
file=sys.stderr,
)
if task_pkg and task_pkg in packages:
return {task_pkg}
if default_pkg and default_pkg in packages:
return {default_pkg}
return None # Full scan
return None # Unknown scope type: full scan
def _extract_range(content: str, start_header: str, end_header: str) -> str:
"""Extract lines starting at `## start_header` up to (but excluding) `## end_header`.
Both parameters are full header lines WITHOUT the `## ` prefix (e.g. "Phase Index").
Returns empty string if start header is not found.
End header missing → extracts to end of file.
"""
lines = content.splitlines()
start: int | None = None
end: int = len(lines)
start_match = f"## {start_header}"
end_match = f"## {end_header}"
for i, line in enumerate(lines):
stripped = line.strip()
if start is None and stripped == start_match:
start = i
continue
if start is not None and stripped == end_match:
end = i
break
if start is None:
return ""
return "\n".join(lines[start:end]).rstrip()
_BREADCRUMB_TAG_RE = re.compile(
r"\[workflow-state:([A-Za-z0-9_-]+)\]\s*\n.*?\n\s*\[/workflow-state:\1\]",
re.DOTALL,
)
def _strip_breadcrumb_tag_blocks(content: str) -> str:
"""Remove `[workflow-state:STATUS]...[/workflow-state:STATUS]` blocks.
The tag blocks live inside `## Phase Index` (since v0.5.0-rc.0, when
they were colocated with their phase summaries) and are consumed by the
UserPromptSubmit hook (`inject-workflow-state.py`). The session-start
payload already covers the full step bodies, so re-inlining the
breadcrumbs here would just duplicate context.
"""
return _BREADCRUMB_TAG_RE.sub("", content)
def _build_workflow_overview(workflow_path: Path) -> str:
"""Inject the workflow guide for the session.
Contents:
1. Section index (all `## ` headings — navigation)
2. Phase Index section (rules, skill routing table, anti-rationalization table)
3. Phase 1/2/3 step-level details (the actual how-to for each step)
The meta sections (Core Principles / Trellis System / Customizing
Trellis) are NOT injected — Core Principles is short prose the AI can
Read on demand; Trellis System lists reference commands duplicated in
step bodies; Customizing Trellis is for forks. Workflow-state breadcrumb
tag blocks (which now live inside Phase Index since v0.5.0-rc.0) are
stripped from the extracted range — they're consumed by the
UserPromptSubmit hook, not the session-start preamble.
Total budget: Phase Index ~2 KB + Phase 1/2/3 ~7 KB = ~9 KB.
"""
content = read_file(workflow_path)
if not content:
return "No workflow.md found"
out_lines = [
"# Development Workflow — Section Index",
"Full guide: .trellis/workflow.md (read on demand)",
"",
"## Table of Contents",
]
for line in content.splitlines():
if line.startswith("## "):
out_lines.append(line)
out_lines += ["", "---", ""]
# Extract Phase Index through the end of Phase 3 (before "Customizing
# Trellis" — the docs-for-forks footer added in v0.5.0-rc.0). Since
# sections appear in order Phase Index → Phase 1 → Phase 2 → Phase 3 →
# Customizing Trellis, a single range grab captures all four. The
# breadcrumb tag blocks now embedded inside Phase Index are stripped so
# they don't duplicate the per-turn UserPromptSubmit injection.
phases = _extract_range(
content, "Phase Index", "Customizing Trellis (for forks)"
)
if phases:
out_lines.append(_strip_breadcrumb_tag_blocks(phases).rstrip())
return "\n".join(out_lines).rstrip()
def main():
if should_skip_injection():
sys.exit(0)
try:
hook_input = json.loads(sys.stdin.read())
if not isinstance(hook_input, dict):
hook_input = {}
except (json.JSONDecodeError, ValueError):
hook_input = {}
# Try platform-specific env vars, hook cwd, fallback to cwd
project_dir_env_vars = [
"CLAUDE_PROJECT_DIR",
"QODER_PROJECT_DIR",
"CODEBUDDY_PROJECT_DIR",
"FACTORY_PROJECT_DIR",
"CURSOR_PROJECT_DIR",
"GEMINI_PROJECT_DIR",
"KIRO_PROJECT_DIR",
"COPILOT_PROJECT_DIR",
]
project_dir = None
for var in project_dir_env_vars:
val = os.environ.get(var)
if val:
project_dir = Path(_normalize_windows_shell_path(val)).resolve()
break
if project_dir is None:
project_dir = Path(_normalize_windows_shell_path(hook_input.get("cwd", "."))).resolve()
trellis_dir = project_dir / ".trellis"
context_key = _resolve_context_key(trellis_dir, hook_input)
_persist_context_key_for_bash(context_key)
# Load config for scope filtering and legacy detection
is_mono, packages, scope_config, task_pkg, default_pkg = _load_trellis_config(
trellis_dir,
hook_input,
)
allowed_pkgs = _resolve_spec_scope(is_mono, packages, scope_config, task_pkg, default_pkg)
output = StringIO()
output.write("""<session-context>
You are starting a new session in a Trellis-managed project.
Read and follow all instructions below carefully.
</session-context>
""")
output.write(FIRST_REPLY_NOTICE)
output.write("\n\n")
# Legacy migration warning
legacy_warning = _check_legacy_spec(trellis_dir, is_mono, packages)
if legacy_warning:
output.write(f"<migration-warning>\n{legacy_warning}\n</migration-warning>\n\n")
output.write("<current-state>\n")
context_script = trellis_dir / "scripts" / "get_context.py"
output.write(run_script(context_script, context_key))
output.write("\n</current-state>\n\n")
output.write("<workflow>\n")
output.write(_build_workflow_overview(trellis_dir / "workflow.md"))
output.write("\n</workflow>\n\n")
output.write("<guidelines>\n")
output.write(
"Project spec indexes are listed by path below. Each index contains a "
"**Pre-Development Checklist** listing the specific guideline files to "
"read before coding.\n\n"
"- If you're spawning an implement/check sub-agent, context is injected "
"or loaded by the sub-agent via `{task}/implement.jsonl` / `check.jsonl`. "
"You do NOT need to read these indexes yourself.\n"
"- For agent-capable platforms, the default is to dispatch "
"`trellis-implement` and `trellis-check` (so JSONL context is loaded by "
"the sub-agents) rather than editing code in the main session. "
"Honor a per-turn user override only if the user's current message "
"explicitly opts out (see <task-status> below for override phrases).\n\n"
)
# guides/ is cross-package thinking — always include inline (small, broadly useful)
guides_index = trellis_dir / "spec" / "guides" / "index.md"
if guides_index.is_file():
output.write("## guides (inlined — cross-package thinking guides)\n")
output.write(read_file(guides_index))
output.write("\n\n")
# Other spec indexes — paths only (main agent reads on demand;
# sub-agents get their specific specs via jsonl injection)
paths: list[str] = []
spec_dir = trellis_dir / "spec"
if spec_dir.is_dir():
for sub in sorted(spec_dir.iterdir()):
if not sub.is_dir() or sub.name.startswith("."):
continue
if sub.name == "guides":
continue # already inlined above
index_file = sub / "index.md"
if index_file.is_file():
# Flat spec dir (single-repo layer like spec/backend/)
paths.append(f".trellis/spec/{sub.name}/index.md")
else:
# Nested package dirs (monorepo: spec/<pkg>/<layer>/index.md)
# Apply scope filter
if allowed_pkgs is not None and sub.name not in allowed_pkgs:
continue
for nested in sorted(sub.iterdir()):
if not nested.is_dir():
continue
nested_index = nested / "index.md"
if nested_index.is_file():
paths.append(
f".trellis/spec/{sub.name}/{nested.name}/index.md"
)
if paths:
output.write("## Available spec indexes (read on demand)\n")
for p in paths:
output.write(f"- {p}\n")
output.write("\n")
output.write(
"Discover more via: "
"`python3 ./.trellis/scripts/get_context.py --mode packages`\n"
)
output.write("</guidelines>\n\n")
# Check task status and inject structured tag
task_status = _get_task_status(trellis_dir, hook_input)
output.write(f"<task-status>\n{task_status}\n</task-status>\n\n")
output.write("""<ready>
Context loaded. Workflow index, project state, and guidelines are already injected above — do NOT re-read them.
When the user sends the first message, follow <task-status> and the workflow guide.
If a task is READY, execute its Next required action without asking whether to continue.
</ready>""")
result = {
"hookSpecificOutput": {
"hookEventName": "SessionStart",
"additionalContext": output.getvalue(),
}
}
# Output JSON - stdout is already configured for UTF-8
print(json.dumps(result, ensure_ascii=False), flush=True)
if __name__ == "__main__":
main()