Merge origin/dev into main

This commit is contained in:
pewdiepie-archdaemon
2026-06-21 11:08:50 +00:00
203 changed files with 11283 additions and 1649 deletions
+12 -1
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@@ -22,6 +22,9 @@ from .subprocess_tools import BashTool, PythonTool
from .web_tools import WebSearchTool, WebFetchTool
from .filesystem_tools import ReadFileTool, WriteFileTool, EditFileTool, LsTool, GlobTool, GrepTool, GetWorkspaceTool
from .document_tools import CreateDocumentTool, UpdateDocumentTool, EditDocumentTool, SuggestDocumentTool, ManageDocumentTool
from .model_interaction_tools import ChatWithModelTool, AskTeacherTool, ListModelsTool
from .bg_job_tools import ManageBgJobsTool
from .session_tools import CreateSessionTool, ListSessionsTool, SendToSessionTool, ManageSessionTool
TOOL_HANDLERS = {
"bash": BashTool().execute,
@@ -40,6 +43,14 @@ TOOL_HANDLERS = {
"suggest_document": SuggestDocumentTool().execute,
"manage_documents": ManageDocumentTool().execute,
"get_workspace": GetWorkspaceTool().execute,
"chat_with_model": ChatWithModelTool().execute,
"ask_teacher": AskTeacherTool().execute,
"list_models": ListModelsTool().execute,
"manage_bg_jobs": ManageBgJobsTool().execute,
"create_session": CreateSessionTool().execute,
"list_sessions": ListSessionsTool().execute,
"send_to_session": SendToSessionTool().execute,
"manage_session": ManageSessionTool().execute,
}
# ---------------------------------------------------------------------------
@@ -52,7 +63,7 @@ PYTHON_TIMEOUT = 30
# Tool types that trigger execution
TOOL_TAGS = {"bash", "python", "web_search", "web_fetch", "read_file", "write_file", "edit_file",
"grep", "glob", "ls", "get_workspace",
"grep", "glob", "ls", "get_workspace", "manage_bg_jobs",
"create_document", "update_document", "edit_document",
"search_chats",
"chat_with_model", "create_session", "list_sessions",
+98
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@@ -0,0 +1,98 @@
"""Agent tool to inspect and control detached background `bash` jobs.
`bash` blocks prefixed with a `#!bg` marker run detached via `src.bg_jobs`; the
agent is auto-re-invoked with the output when they finish. This tool covers the
gaps in that flow: list the jobs in the current chat, read a still-running job's
output on demand, and kill a runaway job instead of waiting out its max-runtime.
Registry tool (`TOOL_HANDLERS["manage_bg_jobs"]`). Jobs are scoped to the chat
that launched them, so every action requires the caller's `session_id` and a job
from another session is treated as not found.
"""
import json
import time
from typing import Any, Dict, List
_LIST_ACTIONS = {"list", "ls", "jobs"}
_OUTPUT_ACTIONS = {"output", "get", "read", "tail", "status", "show"}
_KILL_ACTIONS = {"kill", "stop", "cancel", "terminate"}
def _age(rec: Dict[str, Any]) -> str:
start = rec.get("started_at")
if not start:
return "?"
secs = int(time.time() - start)
if secs < 60:
return f"{secs}s"
if secs < 3600:
return f"{secs // 60}m"
return f"{secs // 3600}h{(secs % 3600) // 60}m"
def _status_label(rec: Dict[str, Any]) -> str:
status = rec.get("status", "?")
if rec.get("killed"):
return "killed"
if rec.get("timed_out"):
return "timed out"
if rec.get("died"):
return "died"
if status in ("done", "failed"):
return f"{status} (exit {rec.get('exit_code')})"
return status
def _row(rec: Dict[str, Any]) -> str:
cmd = (rec.get("command") or "").strip().splitlines()[0][:80]
return f"[{rec.get('id')}] {_status_label(rec)} | {_age(rec)} | {cmd}"
class ManageBgJobsTool:
async def execute(self, content: str, ctx: dict) -> dict:
from src import bg_jobs
session_id = ctx.get("session_id")
raw = (content or "").strip()
try:
args = json.loads(raw) if raw else {}
except (ValueError, TypeError):
args = {}
if not isinstance(args, dict):
args = {}
action = str(args.get("action", "list")).strip().lower()
job_id = str(args.get("job_id") or args.get("id") or "").strip()
if not session_id:
return {"error": "manage_bg_jobs: no active chat session; background jobs are scoped to a chat.", "exit_code": 1}
if action in _LIST_ACTIONS:
jobs: List[Dict[str, Any]] = bg_jobs.list_for_session(session_id)
if not jobs:
return {"output": "No background jobs in this chat.", "exit_code": 0}
jobs.sort(key=lambda r: r.get("started_at") or 0, reverse=True)
lines = "\n".join(_row(r) for r in jobs)
return {"output": f"{len(jobs)} background job(s):\n{lines}", "exit_code": 0}
if action in _OUTPUT_ACTIONS or action in _KILL_ACTIONS:
if not job_id:
return {"error": f"manage_bg_jobs: action '{action}' requires a job_id (see action='list').", "exit_code": 1}
rec = bg_jobs.get(job_id)
# Scope: only the chat that launched a job may see or control it.
if rec is None or rec.get("session_id") != session_id:
return {"error": f"manage_bg_jobs: no background job '{job_id}' in this chat.", "exit_code": 1}
if action in _KILL_ACTIONS:
if rec.get("status") != "running":
return {"output": f"Job `{job_id}` already {_status_label(rec)}; nothing to kill.", "exit_code": 0}
killed = bg_jobs.kill(job_id)
return {"output": f"Killed background job `{job_id}` ({(killed or {}).get('command', '').splitlines()[0][:80]}).", "exit_code": 0}
out = rec.get("output") or "(no output yet)"
return {
"output": f"Job `{job_id}` [{_status_label(rec)}, {_age(rec)}]\nCommand: {rec.get('command')}\n\nOutput:\n{out}",
"exit_code": 0,
}
return {"error": f"manage_bg_jobs: unknown action '{action}'. Use list, output, or kill.", "exit_code": 1}
+54 -13
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@@ -1,6 +1,7 @@
import asyncio
import json
import os
import re
import difflib
import fnmatch
import shutil
@@ -16,6 +17,31 @@ _CODENAV_SKIP_DIRS = frozenset({
_CODENAV_MAX_HITS = 200
_CODENAV_MAX_LINE = 400
def _glob_to_regex(pat: str) -> "re.Pattern":
"""Translate a forward-slash glob (**, *, ?) into a compiled regex.
`**/` matches zero or more complete directories.
`*` matches within a single path segment (does not cross /).
"""
i, n, out = 0, len(pat), []
while i < n:
if pat[i : i + 3] == "**/":
out.append("(?:[^/]+/)*")
i += 3
elif pat[i : i + 2] == "**":
out.append(".*")
i += 2
elif pat[i] == "*":
out.append("[^/]*")
i += 1
elif pat[i] == "?":
out.append("[^/]")
i += 1
else:
out.append(re.escape(pat[i]))
i += 1
return re.compile("".join(out))
def _unified_diff(old: str, new: str, path: str) -> Optional[Dict[str, Any]]:
if old == new:
return None
@@ -259,23 +285,38 @@ class GlobTool:
return {"error": f"glob: {e}", "exit_code": 1}
def _glob():
from pathlib import Path
base = Path(root)
if not base.is_dir():
base = os.path.abspath(root)
if not os.path.isdir(base):
return None, f"glob: {root}: not a directory"
norm_pat = pattern.replace("\\", "/")
# Fast path: literal pattern (no wildcards) → direct path lookup.
if not any(c in norm_pat for c in "*?["):
cand = os.path.normpath(os.path.join(base, norm_pat))
if os.path.exists(cand):
return [cand], None
# Literal not at exact path — fall through to walk so
# e.g. "foo.py" still matches at any depth (like rglob).
# Compile glob to regex: * stays within one segment, **/ spans dirs.
regex = _glob_to_regex(norm_pat)
matched = []
cap = _CODENAV_MAX_HITS * 5
try:
for p in base.rglob(pattern):
if set(p.relative_to(base).parts) & _CODENAV_SKIP_DIRS:
continue
try:
mtime = p.stat().st_mtime
except OSError:
mtime = 0
matched.append((mtime, str(p)))
if len(matched) > _CODENAV_MAX_HITS * 5:
for dp, dns, fns in os.walk(base):
# Prune skipped dirs before descending (unlike rglob which
# descends first then filters — fatal on large node_modules).
dns[:] = [d for d in dns if d not in _CODENAV_SKIP_DIRS]
for name in fns + dns:
full = os.path.join(dp, name)
rel = os.path.relpath(full, base).replace(os.sep, "/")
if regex.fullmatch(rel) or regex.fullmatch(name):
try:
mtime = os.stat(full).st_mtime
except OSError:
mtime = 0
matched.append((mtime, full))
if len(matched) > cap:
break
except (OSError, ValueError) as _e:
except OSError as _e:
return None, f"glob: {_e}"
matched.sort(key=lambda t: t[0], reverse=True)
return [pth for _, pth in matched[:_CODENAV_MAX_HITS]], None
+208
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@@ -0,0 +1,208 @@
"""model_interaction_tools.py - agent tools for talking to other models.
Owns the model-interaction tool implementations (chat_with_model, ask_teacher,
list_models) and their handler classes, registered in ``TOOL_HANDLERS``. Part
of the tool -> registry migration (#3629): the implementations were moved here
out of ``src.ai_interaction`` so dispatch flows through the registry instead of
the elif chain / dispatch_ai_tool in tool_execution.py.
Shared helpers that still live in ``src.ai_interaction`` and are used by tools
not yet migrated (``_resolve_model``, ``AI_CHAT_TIMEOUT``) are imported lazily
inside the functions to avoid an import cycle at module load.
"""
import logging
from typing import Dict, Optional
logger = logging.getLogger(__name__)
_TEACHER_SYSTEM_PROMPT = (
"You are a senior AI mentor. A less capable model is stuck on a problem and asking for help. "
"Provide clear, actionable guidance:\n"
"1. Brief analysis of the problem\n"
"2. Recommended approach (step by step)\n"
"3. Key things to watch out for\n\n"
"Be concise and practical. No preamble."
)
async def chat_with_model(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""Send a message to a specific model and return its response.
Content format:
Line 1: model_name (or model_name@endpoint_name)
Line 2+: the message to send
"""
from src.ai_interaction import _resolve_model, AI_CHAT_TIMEOUT
from src.llm_core import llm_call_async
lines = content.strip().split("\n", 1)
if not lines or not lines[0].strip():
return {"error": "First line must be the model name"}
model_spec = lines[0].strip()
message = lines[1].strip() if len(lines) > 1 else ""
if not message:
return {"error": "No message provided (line 2+ is the message)"}
try:
url, model, headers = _resolve_model(model_spec, owner=owner)
except ValueError as e:
return {"error": str(e)}
try:
response = await llm_call_async(
url, model,
[{"role": "user", "content": message}],
headers=headers,
timeout=AI_CHAT_TIMEOUT,
)
# Truncate very long responses
if len(response) > 10000:
response = response[:10000] + "\n... (truncated)"
return {"model": model, "response": response}
except Exception as e:
logger.error(f"chat_with_model failed: {e}")
return {"error": f"Failed to get response from {model_spec}: {e}"}
async def ask_teacher(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""Ask a more capable model for help.
Content format:
Line 1: model_name (or 'auto')
Line 2+: the problem description
"""
from src.ai_interaction import _resolve_model, AI_CHAT_TIMEOUT
from src.llm_core import llm_call_async
from src.settings import get_setting
lines = content.strip().split("\n", 1)
model_spec = lines[0].strip() if lines else "auto"
problem = lines[1].strip() if len(lines) > 1 else ""
if not problem:
return {"error": "No problem description provided"}
if model_spec.lower() in ("auto", ""):
model_spec = get_setting("teacher_model", "")
if not model_spec:
return {"error": "No teacher model configured. Specify a model name or set teacher_model in settings."}
try:
url, model, headers = _resolve_model(model_spec, owner=owner)
except ValueError as e:
return {"error": str(e)}
try:
response = await llm_call_async(
url, model,
[
{"role": "system", "content": _TEACHER_SYSTEM_PROMPT},
{"role": "user", "content": f"Problem:\n{problem}"},
],
headers=headers,
timeout=AI_CHAT_TIMEOUT,
)
if len(response) > 8000:
response = response[:8000] + "\n... (truncated)"
return {"model": model, "response": response, "teacher": True}
except Exception as e:
logger.error(f"ask_teacher failed: {e}")
return {"error": f"Teacher call failed ({model_spec}): {e}"}
async def list_models(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""List all available models across configured endpoints.
Content = optional filter keyword.
"""
import json
import httpx
from src.database import SessionLocal, ModelEndpoint
from src.llm_core import _detect_provider, ANTHROPIC_MODELS
from src.auth_helpers import owner_filter
from src.endpoint_resolver import resolve_endpoint_runtime, build_headers, build_models_url
keyword = content.strip().lower() if content.strip() else None
db = SessionLocal()
try:
query = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True)
if owner:
query = owner_filter(query, ModelEndpoint, owner)
endpoints = query.all()
if not endpoints:
return {"results": "No enabled model endpoints configured."}
result_lines = []
total_models = 0
for ep in endpoints:
try:
base, api_key = resolve_endpoint_runtime(ep, owner=owner)
except Exception:
continue
provider = _detect_provider(base)
headers = build_headers(api_key, base)
model_ids = []
if provider == "anthropic":
model_ids = list(ANTHROPIC_MODELS)
else:
try:
models_url = build_models_url(base)
if models_url:
r = httpx.get(models_url, headers=headers, timeout=5)
r.raise_for_status()
data = r.json()
model_ids = [m.get("id") for m in (data.get("data") or []) if m.get("id")]
if not model_ids:
model_ids = [
m.get("name") or m.get("model")
for m in (data.get("models") or [])
if m.get("name") or m.get("model")
]
else:
model_ids = json.loads(ep.cached_models or "[]")
except Exception:
model_ids = ["(endpoint offline)"]
if keyword:
model_ids = [m for m in model_ids if keyword in m.lower() or keyword in (ep.name or "").lower()]
if model_ids:
result_lines.append(f"\n**{ep.name or base}** ({provider}):")
for mid in model_ids:
result_lines.append(f" - `{mid}`")
total_models += 1
if not result_lines:
return {"results": "No models found" + (f" matching '{keyword}'" if keyword else "") + "."}
header = f"Available models ({total_models} total):"
return {"results": header + "\n".join(result_lines)}
except Exception as e:
logger.error(f"list_models failed: {e}")
return {"error": str(e)}
finally:
db.close()
# ---------------------------------------------------------------------------
# Handler classes registered in TOOL_HANDLERS
# ---------------------------------------------------------------------------
class ChatWithModelTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await chat_with_model(content, ctx.get("session_id"), owner=ctx.get("owner"))
class AskTeacherTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await ask_teacher(content, ctx.get("session_id"), owner=ctx.get("owner"))
class ListModelsTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await list_models(content, ctx.get("session_id"), owner=ctx.get("owner"))
+464
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@@ -0,0 +1,464 @@
"""session_tools.py - agent tools for AI-to-AI session management.
Owns create_session, list_sessions, send_to_session and manage_session, moved
out of src.ai_interaction as part of the tool -> registry migration (#3629), and
their handler classes registered in TOOL_HANDLERS.
The session manager is a runtime-set singleton in src.ai_interaction, so each
function fetches it via get_session_manager() (imported here); _resolve_model and
AI_CHAT_TIMEOUT are reused from there too.
"""
import json
import logging
import uuid
from typing import Dict, Optional
from src.ai_interaction import get_session_manager, _resolve_model, AI_CHAT_TIMEOUT
logger = logging.getLogger(__name__)
async def create_session(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""Create a new chat session.
Content format:
Line 1: session name
Line 2: model_name (or model_name@endpoint_name)
"""
_session_manager = get_session_manager()
if not _session_manager:
return {"error": "Session manager not available"}
lines = content.strip().split("\n")
if len(lines) < 2:
return {"error": "Need 2 lines: session name, then model spec"}
name = lines[0].strip()
model_spec = lines[1].strip()
if not name:
return {"error": "Session name cannot be empty"}
try:
url, model, headers = _resolve_model(model_spec, owner=owner)
except ValueError as e:
return {"error": str(e)}
sid = str(uuid.uuid4())[:8]
try:
_session_manager.create_session(
session_id=sid,
name=name,
endpoint_url=url,
model=model,
rag=False,
owner=owner,
)
# Store headers on session for future calls
sess = _session_manager.get_session(sid)
if sess and headers:
sess.headers = headers
try:
from src.event_bus import fire_event
fire_event("session_created", owner)
except Exception:
logger.debug("session_created event dispatch failed", exc_info=True)
return {"session_id": sid, "name": name, "model": model, "endpoint_url": url}
except Exception as e:
logger.error(f"create_session failed: {e}")
return {"error": f"Failed to create session: {e}"}
async def list_sessions(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""List sessions sorted by most-recently-active first.
Output includes a relative "last active" timestamp per row so the
agent can answer "open my last chat" without guessing from titles.
The most-recent session is always first in the list.
Content = optional filter keyword (matches session name).
"""
_session_manager = get_session_manager()
if not _session_manager:
return {"error": "Session manager not available"}
keyword = content.strip().lower() if content.strip() else None
try:
from core.database import SessionLocal, Session as DbSession
from datetime import datetime, timezone
# Pull every session's last_accessed from the DB so we can sort
# by recency. In-memory sessions hold name + model + msg_count;
# the DB row holds the timestamps.
db = SessionLocal()
try:
db_rows = {r.id: r for r in db.query(DbSession).all()}
finally:
db.close()
# SECURITY: scope to the caller's sessions. Passing None returned
# every user's sessions, which the agent tool then exposed via the
# "list my chats" reply.
sessions = _session_manager.get_sessions_for_user(owner)
rows = []
for sid, sess in sessions.items():
if keyword and keyword not in (sess.name or "").lower():
continue
db_row = db_rows.get(sid)
# Prefer last_accessed; fall back to updated_at, then created_at.
ts = None
if db_row:
ts = getattr(db_row, 'last_accessed', None) or getattr(db_row, 'updated_at', None) or getattr(db_row, 'created_at', None)
rows.append((ts, sid, sess))
# Sort by timestamp DESC; rows without a timestamp sink to the bottom.
rows.sort(key=lambda r: r[0] or datetime.min, reverse=True)
def _rel(ts):
if not ts:
return 'never'
now = datetime.utcnow()
try:
if ts.tzinfo is not None:
now = datetime.now(timezone.utc)
diff = (now - ts).total_seconds()
except Exception:
return 'unknown'
if diff < 60: return 'just now'
if diff < 3600: return f'{int(diff / 60)}m ago'
if diff < 86400: return f'{int(diff / 3600)}h ago'
if diff < 86400 * 7: return f'{int(diff / 86400)}d ago'
return ts.strftime('%Y-%m-%d')
lines = []
for i, (ts, sid, sess) in enumerate(rows):
if i >= 50:
lines.append(f"... and {len(rows) - 50} more (showing first 50)")
break
safe_name = (sess.name or "Untitled").replace("[", "\\[").replace("]", "\\]")
msg_count = getattr(sess, "message_count", 0) or 0
model = getattr(sess, "model", "unknown")
marker = " ← most recent" if i == 0 else ""
lines.append(f"- **[{safe_name}](#session-{sid})** (id: `{sid}`, model: {model}, {msg_count} msgs, last active {_rel(ts)}){marker}")
if not lines:
return {"results": "No sessions found" + (f" matching '{keyword}'" if keyword else "") + "."}
return {
"results": (
f"Found {len(rows)} session(s), sorted most-recent first:\n"
+ "\n".join(lines)
+ "\n\nAssistant: when replying to the user, preserve the chat-title markdown links exactly as shown, e.g. `[Chat](#session-id)`. Do not rewrite this as a plain, non-clickable table."
)
}
except Exception as e:
logger.error(f"list_sessions failed: {e}")
return {"error": str(e)}
async def send_to_session(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""Send a message to an existing session and get a response.
Content format:
Line 1: session_id
Line 2+: message
"""
_session_manager = get_session_manager()
from src.llm_core import llm_call_async
from core.models import ChatMessage
if not _session_manager:
return {"error": "Session manager not available"}
lines = content.strip().split("\n", 1)
if len(lines) < 2:
return {"error": "Need 2 lines: session_id, then message"}
target_sid = lines[0].strip()
message = lines[1].strip()
sess = _session_manager.get_session(target_sid)
if not sess:
return {"error": f"Session '{target_sid}' not found"}
# Owner-scope: reject access to another user's session
if owner and getattr(sess, "owner", None) and sess.owner != owner:
return {"error": f"Session '{target_sid}' not found"}
if not message:
return {"error": "No message provided"}
try:
# Build context from session history
context = sess.get_context_messages()
context.append({"role": "user", "content": message})
response = await llm_call_async(
sess.endpoint_url, sess.model, context,
headers=sess.headers,
timeout=AI_CHAT_TIMEOUT,
)
# Save both messages to session
sess.add_message(ChatMessage("user", message))
sess.add_message(ChatMessage("assistant", response))
# Truncate for tool output
if len(response) > 10000:
response = response[:10000] + "\n... (truncated)"
return {
"session_id": target_sid,
"session_name": sess.name,
"response": response,
}
except Exception as e:
logger.error(f"send_to_session failed: {e}")
return {"error": f"Failed to send to session: {e}"}
async def manage_session(content: str, session_id: Optional[str] = None, owner: Optional[str] = None) -> Dict:
"""Manage sessions: rename, archive, delete, important, truncate, fork.
Content format:
Line 1: action (rename|archive|unarchive|delete|important|unimportant|truncate|fork)
Line 2: target session_id (or "current" to use the active session)
Line 3+: action-specific params (e.g. new name for rename, keep_count for truncate)
"""
_session_manager = get_session_manager()
if not _session_manager:
return {"error": "Session manager not available"}
from src.database import SessionLocal, Session as DbSession
# Accept BOTH the structured JSON args the tool schema advertises
# ({action, session_id, value}) AND the legacy line-based format
# (line1=action, line2=session_id, line3=value). Native function-calling
# models send JSON; fenced-block callers send lines. Previously only the
# line format was parsed, so a model that followed the schema (JSON) got
# "Need at least 2 lines" / "Rename needs line 3" and couldn't drive it.
_raw = (content or "").strip()
action = ""
target_sid = ""
value = None # the action param: new name (rename) / keep_count (truncate, fork)
_list_filter = ""
_parsed = None
if _raw.startswith("{"):
try:
_parsed = json.loads(_raw)
except Exception:
_parsed = None
if isinstance(_parsed, dict):
action = str(_parsed.get("action") or "").strip().lower()
target_sid = str(_parsed.get("session_id") or _parsed.get("session") or _parsed.get("id") or "").strip()
_v = _parsed.get("value")
if _v is None:
_v = (_parsed.get("name") or _parsed.get("new_name")
or _parsed.get("title") or _parsed.get("keep_count"))
value = None if _v is None else str(_v).strip()
_list_filter = str(_parsed.get("filter") or "").strip()
else:
lines = _raw.split("\n")
if not lines or not lines[0].strip():
return {"error": "Missing action (rename|archive|delete|important|truncate|fork|list|switch)"}
action = lines[0].strip().lower()
target_sid = lines[1].strip() if len(lines) >= 2 else ""
value = lines[2].strip() if len(lines) >= 3 else None
_list_filter = "\n".join(lines[1:]).strip()
if not action:
return {"error": "Missing action (rename|archive|delete|important|truncate|fork|list|switch)"}
# `list` alias - dispatch to list_sessions so the agent's natural
# first guess (every other manage_* tool has a `list` action) works.
if action == "list":
return await list_sessions(_list_filter, session_id, owner=owner)
if not target_sid:
return {"error": "Need a session_id (or 'current' for the active chat)"}
# Allow "current" to refer to the active session
if target_sid.lower() == "current" and session_id:
target_sid = session_id
# `switch` / `open` / `select` / `view` - the agent reaches for
# these when the user asks to "open" or "switch to" a session.
# There's no server-side way to make the browser navigate, so we
# just return a clickable anchor link the user can click. The
# frontend's chat-history click delegate routes `#session-<id>`
# to selectSession(). The agent's reply naturally embeds this
# result so the user sees a single clickable line.
def _session_query(db):
query = db.query(DbSession).filter(DbSession.id == target_sid)
if owner is not None:
query = query.filter(DbSession.owner == owner)
return query
if action in ("switch", "open", "select", "view"):
db = SessionLocal()
try:
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
name = db_sess.name or target_sid
finally:
db.close()
return {
"action": action,
"session_id": target_sid,
"name": name,
"results": f"[{name}](#session-{target_sid}) - click to open.",
}
db = SessionLocal()
try:
if action == "rename":
if not value:
return {"error": "rename needs a new name (the `value` arg, or line 3 in the legacy format)"}
new_name = value
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
db_sess.name = new_name
db.commit()
_session_manager.update_session_name(target_sid, new_name)
return {"action": "rename", "session_id": target_sid, "name": new_name,
"results": f"Session renamed to '{new_name}'"}
elif action == "archive":
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
db_sess.archived = True
db.commit()
return {"action": "archive", "session_id": target_sid,
"results": f"Session '{db_sess.name}' archived"}
elif action == "unarchive":
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
db_sess.archived = False
db.commit()
return {"action": "unarchive", "session_id": target_sid,
"results": f"Session '{db_sess.name}' unarchived"}
elif action == "delete":
if target_sid == session_id:
return {"error": "Cannot delete the current session while chatting in it. Delete other sessions first."}
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Refusing to delete an unknown chat id; use the exact id from list_sessions."}
if db_sess and db_sess.is_important:
return {"error": f"Session '{db_sess.name}' is starred/favorited. Unstar it first before deleting."}
try:
ok = _session_manager.delete_session(target_sid)
if not ok:
return {"error": f"Session '{target_sid}' was not deleted because it no longer exists."}
return {"action": "delete", "session_id": target_sid,
"results": f"Session '{db_sess.name or target_sid}' deleted"}
except Exception as e:
return {"error": f"Failed to delete session: {e}"}
elif action in ("important", "unimportant"):
is_important = action == "important"
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
# Prevent AI from unstarring sessions - only the user can do that manually
if not is_important and db_sess.is_important:
return {"error": f"Session '{db_sess.name}' is starred by the user. Only the user can unstar sessions manually."}
db_sess.is_important = is_important
db.commit()
status = "marked as important" if is_important else "unmarked as important"
return {"action": action, "session_id": target_sid,
"results": f"Session '{db_sess.name}' {status}"}
elif action == "truncate":
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
keep_count = 10
if value:
try:
keep_count = int(value)
except ValueError:
pass
success = _session_manager.truncate_messages(target_sid, keep_count)
if success:
return {"action": "truncate", "session_id": target_sid,
"results": f"Session truncated to last {keep_count} messages"}
return {"error": f"Failed to truncate session '{target_sid}'"}
elif action == "fork":
db_sess = _session_query(db).first()
if not db_sess:
return {"error": f"Session '{target_sid}' not found. Use list_sessions and pass the exact id it returned."}
keep_count = 0 # 0 = all messages
if value:
try:
keep_count = int(value)
except ValueError:
pass
source = _session_manager.get_session(target_sid)
if not source:
return {"error": f"Session '{target_sid}' not found"}
new_sid = str(uuid.uuid4())[:8]
_session_manager.create_session(
session_id=new_sid,
name=f"Fork: {source.name}",
endpoint_url=source.endpoint_url,
model=source.model,
rag=False,
owner=owner,
)
# Copy messages
history = source.get_context_messages()
if keep_count > 0:
history = history[:keep_count]
from core.models import ChatMessage as InMemoryMsg
new_sess = _session_manager.get_session(new_sid)
for msg in history:
new_sess.add_message(InMemoryMsg(msg["role"], msg["content"]))
try:
from src.event_bus import fire_event
fire_event("session_created", owner)
except Exception:
logger.debug("session_created event dispatch failed", exc_info=True)
return {"action": "fork", "session_id": new_sid,
"source_session": target_sid, "messages_copied": len(history),
"results": f"Forked session '{source.name}' -> new session {new_sid} ({len(history)} messages)"}
else:
return {"error": f"Unknown action '{action}'. Use: list, switch, rename, archive, unarchive, delete, important, unimportant, truncate, fork"}
except Exception as e:
logger.error(f"manage_session failed: {e}")
return {"error": str(e)}
finally:
db.close()
# ---------------------------------------------------------------------------
# Handler classes registered in TOOL_HANDLERS
# ---------------------------------------------------------------------------
class CreateSessionTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await create_session(content, ctx.get("session_id"), owner=ctx.get("owner"))
class ListSessionsTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await list_sessions(content, ctx.get("session_id"), owner=ctx.get("owner"))
class SendToSessionTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await send_to_session(content, ctx.get("session_id"), owner=ctx.get("owner"))
class ManageSessionTool:
async def execute(self, content: str, ctx: dict) -> Dict:
return await manage_session(content, ctx.get("session_id"), owner=ctx.get("owner"))
+32 -2
View File
@@ -79,13 +79,23 @@ class WebSearchTool:
class WebFetchTool:
async def execute(self, content: str, ctx: dict) -> dict:
from src.search.content import fetch_webpage_content
from src.constants import WEB_FETCH_HARD_MAX_BYTES
raw = content.strip()
url = ""
max_bytes = None
if raw.startswith("{"):
try:
parsed = json.loads(raw)
if isinstance(parsed, dict):
url = str(parsed.get("url") or "").strip()
# Download-budget override (#3812): "full": true raises the
# budget to the hard cap; an explicit max_bytes is clamped
# to the hard cap downstream. Default stays the soft cap.
if parsed.get("full") is True:
max_bytes = WEB_FETCH_HARD_MAX_BYTES
mb = parsed.get("max_bytes")
if isinstance(mb, int) and mb > 0:
max_bytes = mb
except json.JSONDecodeError:
url = ""
if not url:
@@ -100,7 +110,7 @@ class WebFetchTool:
loop = asyncio.get_running_loop()
try:
result = await asyncio.wait_for(
loop.run_in_executor(None, lambda: fetch_webpage_content(url, timeout=10)),
loop.run_in_executor(None, lambda: fetch_webpage_content(url, timeout=10, max_bytes=max_bytes)),
timeout=30,
)
except asyncio.TimeoutError:
@@ -116,8 +126,28 @@ class WebFetchTool:
return {"error": f"web_fetch: {url}: {err}", "exit_code": 1}
return {"error": f"web_fetch: {url}: no readable text content (not HTML, or the page needs JS/login)", "exit_code": 1}
# Tell the model when the download budget cut the body short and how
# to get the rest, instead of silently presenting a partial page as
# the whole thing.
size_note = ""
if result.get("truncated"):
fetched = result.get("fetched_bytes") or 0
total = result.get("total_bytes")
total_txt = f" of {total:,} bytes" if total else ""
size_note = (
f"[partial content: download stopped at {fetched:,} bytes{total_txt}. "
f'Re-call with {{"url": "{url}", "full": true}} to fetch up to '
f"{WEB_FETCH_HARD_MAX_BYTES:,} bytes.]\n\n"
)
# The notice must lead the output so the MAX_OUTPUT_CHARS trim below can
# never drop it. The title is untrusted, uncapped page content, so a
# giant title ahead of the notice could push it out of range; keep the
# notice first and cap the title as a second guard.
if len(title) > 300:
title = title[:300] + "..."
header = (f"# {title}\n" if title else "") + f"Source: {url}\n\n"
output = header + text
output = size_note + header + text
if len(output) > MAX_OUTPUT_CHARS:
output = output[:MAX_OUTPUT_CHARS] + "\n\n[...truncated]"
return {"output": output, "exit_code": 0}