Prompt for root directory and list it

This commit is contained in:
2025-11-17 15:26:04 +01:00
parent cf77d61526
commit 4d2cfb5db1
9 changed files with 1104 additions and 0 deletions

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agent/agent.py Normal file
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# agent/agent.py
from typing import Any, Dict, List
import json
from .llm import DeepSeekClient
from .memory import Memory
from .tools import make_tools, Tool
class Agent:
def __init__(self, llm: DeepSeekClient, memory: Memory):
self.llm = llm
self.memory = memory
self.tools: Dict[str, Tool] = make_tools(memory)
def _build_system_prompt(self) -> str:
ctx = {"project_root": self.memory.get_project_root()}
tools_desc = "\n".join(
f"- {t.name}: {t.description}" for t in self.tools.values()
)
return (
"Tu es un agent IA qui aide un développeur senior à gérer son projet local.\n"
"Tu peux demander des informations de base (comme le chemin du projet)\n"
"et tu peux utiliser des outils pour interagir avec le système de fichiers.\n\n"
"Contexte utilisateur (JSON):\n"
f"{json.dumps(ctx, ensure_ascii=False)}\n\n"
"Règles IMPORTANTES pour les outils:\n"
"1. Si tu ne connais pas la valeur d'un argument (par exemple project_root), "
"TU NE DOIS PAS mettre null ou une valeur inventée.\n"
" À la place, tu dois poser une question à l'utilisateur pour obtenir l'information.\n"
"2. Ne propose set_user_profile QUE lorsque l'utilisateur a donné un chemin de projet explicite.\n"
"3. Quand tu veux utiliser un outil, réponds STRICTEMENT avec un JSON de la forme :\n"
'{ "thought": "...", "action": { "name": "tool_name", "args": { ... } } }\n'
" - Pas de texte avant/après.\n"
" - Les args doivent être COMPLETS et NON nuls.\n"
"4. Quand JE (le système) te fournis un object JSON contenant 'tool_result' et 'intent', "
"tu dois ALORS répondre à l'utilisateur en TEXTE NATUREL, et NE PAS renvoyer de JSON d'action.\n\n"
"Tools disponibles:\n"
f"{tools_desc}\n"
)
def _parse_intent(self, text: str) -> Dict[str, Any] | None:
try:
data = json.loads(text)
except json.JSONDecodeError:
return None
if not isinstance(data, dict):
return None
action = data.get("action")
if not isinstance(action, dict):
return None
name = action.get("name")
if not isinstance(name, str):
return None
return data
def _execute_action(self, intent: Dict[str, Any]) -> Dict[str, Any]:
action = intent["action"]
name: str = action["name"]
args: Dict[str, Any] = action.get("args", {}) or {}
if name == "set_user_profile":
project_root = args.get("project_root")
if not project_root:
return {
"error": "missing_project_root",
"message": (
"Le modèle a demandé set_user_profile sans project_root. "
"Tu dois d'abord demander à l'utilisateur de fournir un chemin "
"de projet valide (ex: /home/francois/mon_projet)."
),
}
tool = self.tools.get(name)
if not tool:
return {"error": "unknown_tool", "tool": name}
try:
result = tool.func(**args)
except TypeError as e:
# Mauvais arguments
return {"error": "bad_args", "message": str(e)}
return result
def step(self, user_input: str) -> str:
print("Starting a new step...")
"""
Un 'tour' d'agent :
- construit le prompt system
- interroge DeepSeek
- si JSON d'intent -> exécute tool, refait un appel, renvoie réponse finale
- sinon -> renvoie texte brut
"""
print("User input:", user_input)
root = self.memory.data.get("project_root")
print("Current project_root in memory:", root)
# Unified system prompt that always allows tools
tools_desc = "\n".join(
f"- {t.name}: {t.description}\n Paramètres: {json.dumps(t.parameters, ensure_ascii=False)}"
for t in self.tools.values()
)
if root is None:
print("No project_root set - asking user and allowing tool use")
system_prompt = (
"Tu es un agent IA qui aide un développeur à gérer son projet local.\n\n"
"CONTEXTE ACTUEL:\n"
f"- project_root: {root} (NON DÉFINI)\n\n"
"RÈGLES IMPORTANTES:\n"
"1. Le project_root n'est pas encore défini. Tu DOIS d'abord demander à l'utilisateur "
"le chemin absolu de son projet (ex: /home/user/mon_projet).\n"
"2. Quand l'utilisateur te donne un chemin, tu DOIS immédiatement utiliser l'outil "
"'set_project_root' pour le sauvegarder.\n"
"3. Pour utiliser un outil, réponds STRICTEMENT avec ce format JSON:\n"
' { "thought": "explication", "action": { "name": "nom_outil", "args": { "arg": "valeur" } } }\n'
"4. Si tu réponds en texte (pas d'outil), réponds normalement en français.\n"
"5. Quand le système te renvoie un tool_result, réponds à l'utilisateur en TEXTE NATUREL.\n\n"
"OUTILS DISPONIBLES:\n"
f"{tools_desc}\n"
)
else:
print("Project_root is set - normal operation mode")
system_prompt = (
"Tu es un agent IA qui aide un développeur à gérer son projet local.\n\n"
"CONTEXTE ACTUEL:\n"
f"- project_root: {root}\n\n"
"RÈGLES IMPORTANTES:\n"
"1. Le project_root est défini. Tu peux utiliser les outils disponibles.\n"
"2. Pour utiliser un outil, réponds STRICTEMENT avec ce format JSON:\n"
' { "thought": "explication", "action": { "name": "nom_outil", "args": { "param": "valeur" } } }\n'
" EXEMPLE pour lister le dossier 'src':\n"
' { "thought": "L\'utilisateur veut voir le contenu de src", "action": { "name": "list_directory", "args": { "path": "src" } } }\n'
" EXEMPLE pour lister la racine du projet:\n"
' { "thought": "L\'utilisateur veut voir la racine", "action": { "name": "list_directory", "args": { "path": "." } } }\n'
"3. Si tu réponds en texte (pas d'outil), réponds normalement en français.\n"
"4. Quand le système te renvoie un tool_result, réponds à l'utilisateur en TEXTE NATUREL.\n"
"5. IMPORTANT: Extrais le chemin demandé par l'utilisateur et passe-le comme argument 'path'.\n\n"
"OUTILS DISPONIBLES:\n"
f"{tools_desc}\n"
)
messages: List[Dict[str, Any]] = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input},
]
raw_first = self.llm.complete(messages)
intent = self._parse_intent(raw_first)
print("raw_first:", raw_first)
print("Intent:", intent)
if not intent:
# Réponse texte simple
#self.memory.append_history("user", user_input)
#self.memory.append_history("assistant", raw_first)
return raw_first
# Exécuter l'action
tool_result = self._execute_action(intent)
followup_messages: List[Dict[str, Any]] = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input},
{
"role": "assistant",
"content": json.dumps(
{"tool_result": tool_result, "intent": intent},
ensure_ascii=False,
),
},
]
raw_second = self.llm.complete(followup_messages)
#self.memory.append_history("user", user_input)
#self.memory.append_history("assistant", raw_second)
return raw_second

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agent/commands.py Normal file
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# agent/commands.py
from dataclasses import dataclass
from typing import Callable, Dict, List
import os
from .memory import Memory
@dataclass
class Command:
name: str
description: str
needs_project_root: bool
handler: Callable[[List[str], Memory], str]
class CommandRegistry:
def __init__(self, memory: Memory):
self.memory = memory
self.commands: Dict[str, Command] = {}
self._register_defaults()
def _register_defaults(self):
# /setroot <path>
def cmd_setroot(args: List[str], mem: Memory) -> str:
if not args:
return "Usage: `/setroot <chemin_absolu_vers_projet>`"
path = args[0]
if not os.path.isdir(path):
return f"Le chemin `{path}` n'existe pas ou n'est pas un dossier."
mem.set_project_root(path)
return f"✅ Chemin du projet défini sur `{path}`."
self.register(
Command(
name="setroot",
description="Définit le chemin racine du projet.",
needs_project_root=False,
handler=cmd_setroot,
)
)
# /scan [rel_path]
def cmd_scan(args: List[str], mem: Memory) -> str:
root = mem.get_project_root()
rel = args[0] if args else "."
full = os.path.abspath(os.path.join(root, rel))
# sécurité basique
if not full.startswith(os.path.abspath(root)):
return "❌ Tu ne peux pas sortir du project_root."
if not os.path.isdir(full):
return f"❌ `{rel}` n'est pas un dossier dans le projet."
entries = sorted(os.listdir(full))
if not entries:
return f"📁 `{rel}` est vide."
lines = [f"📁 Scan de `{rel}` (dans `{root}`):"]
for e in entries:
p = os.path.join(full, e)
if os.path.isdir(p):
lines.append(f" 📂 {e}/")
else:
lines.append(f" 📄 {e}")
return "\n".join(lines)
self.register(
Command(
name="scan",
description="Liste les fichiers/dossiers du projet.",
needs_project_root=True,
handler=cmd_scan,
)
)
def register(self, cmd: Command):
self.commands[cmd.name] = cmd
def handle(self, raw_input: str) -> str:
"""
Parse et exécute une commande du type `/scan src` ou `/setroot /chemin`.
"""
text = raw_input.strip()
if not text.startswith("/"):
return "Internal error: not a command."
parts = text[1:].split()
if not parts:
return "Commande vide."
name = parts[0]
args = parts[1:]
cmd = self.commands.get(name)
if not cmd:
return f"Commande inconnue: `/{name}`.\nCommandes disponibles: {', '.join('/'+n for n in self.commands.keys())}"
# dépendance project_root
if cmd.needs_project_root and not self.memory.get_project_root():
return (
"❗ Aucun `project_root` défini pour l'instant.\n"
"Commence par le définir avec:\n"
"`/setroot /chemin/vers/ton/projet`"
)
return cmd.handler(args, self.memory)

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agent/config.py Normal file
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from dataclasses import dataclass
import os
from dotenv import load_dotenv
load_dotenv()
@dataclass
class Settings:
deepseek_api_key: str = os.getenv("DEEPSEEK_API_KEY", "")
deepseek_base_url: str = os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com")
model: str = os.getenv("DEEPSEEK_MODEL", "deepseek-chat")
temperature: float = float(os.getenv("TEMPERATURE", "0.2"))
memory_file: str = os.getenv("MEMORY_FILE", "memory.json")
settings = Settings()

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agent/llm.py Normal file
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# agent/llm.py
from typing import List, Dict, Any
import requests
from .config import settings
class DeepSeekClient:
def __init__(
self,
api_key: str | None = None,
base_url: str | None = None,
model: str | None = None,
):
self.api_key = api_key or settings.deepseek_api_key
self.base_url = base_url or settings.deepseek_base_url
self.model = model or settings.model
def complete(self, messages: List[Dict[str, Any]]) -> str:
"""
messages: liste de dicts {role: 'system'|'user'|'assistant', content: str}
Retourne content (str) du premier choix.
"""
if not self.api_key:
return "Erreur côté agent : DEEPSEEK_API_KEY manquant dans l'environnement backend."
url = f"{self.base_url}/v1/chat/completions"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
}
payload = {
"model": self.model,
"messages": messages,
"temperature": settings.temperature,
}
resp = requests.post(url, headers=headers, json=payload, timeout=60)
resp.raise_for_status()
data = resp.json()
print("DeepSeek response:", data)
return data["choices"][0]["message"]["content"]

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agent/memory.py Normal file
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# agent/memory.py
from pathlib import Path
from typing import Any, Dict
import json
from .config import settings
class Memory:
def __init__(self, path: str = "memory.json"):
print("init memory")
self.file = Path(path)
self.data: Dict[str, Any] = {}
self.load()
def load(self) -> None:
if self.file.exists():
self.data = json.loads(self.file.read_text(encoding="utf-8"))
else:
self.data = {
"project_root": None,
"history": [],
}
def save(self) -> None:
self.file.write_text(
json.dumps(self.data, indent=2, ensure_ascii=False),
encoding="utf-8",
)
def get_project_root(self) -> str | None:
"""Ce qu'on injecte dans le prompt pour le LLM."""
return self.data.get("project_root")
def set_project_root(self, path: str) -> None:
print('Setting project root in memory to:', path)
self.data["project_root"] = path
self.save()

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agent/tools.py Normal file
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# agent/tools.py
from dataclasses import dataclass
from typing import Callable, Any, Dict
import os
from .memory import Memory
@dataclass
class Tool:
name: str
description: str
func: Callable[..., Dict[str, Any]]
parameters: Dict[str, Any] # JSON Schema des paramètres
def make_tools(memory: Memory) -> dict[str, Tool]:
def set_project_root(project_root: str) -> Dict[str, Any]:
if not os.path.isdir(project_root):
return {"error": "invalid_path", "message": f"Le chemin {project_root} n'est pas un dossier valide."}
print(f"Setting project root to: {project_root}")
print("Memory before:", memory.data)
memory.set_project_root(project_root)
print("Memory after:", memory.data)
return {"status": "ok", "project_root": project_root}
def list_directory(path: str) -> Dict[str, Any]:
print("Proper tool used")
if not memory.data.get("project_root"):
return {"error": "no_project_root", "message": "Project root not set."}
root = memory.data.get("project_root")
full_path = os.path.abspath(os.path.join(root, path))
root_abs = os.path.abspath(root)
if not full_path.startswith(root_abs):
return {"error": "forbidden", "message": "Path outside project_root."}
try:
entries = os.listdir(full_path)
return {"path": path, "entries": entries}
except Exception as e:
return {"error": "os_error", "message": str(e)}
tools = [
Tool(
name="set_project_root",
description="Enregistre le path du dossier racine du projet.",
func=set_project_root,
parameters={
"type": "object",
"properties": {
"project_root": {
"type": "string",
"description": "Chemin absolu du dossier racine du projet (ex: /home/user/mon_projet)"
}
},
"required": ["project_root"]
}
),
Tool(
name="list_directory",
description="Liste le contenu d'un dossier relatif au project_root.",
func=list_directory,
parameters={
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Chemin relatif du dossier à lister (ex: 'src' ou '.' pour la racine)"
}
},
"required": ["path"]
}
),
]
return {t.name: t for t in tools}

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# app.py
import time
import uuid
import json
from typing import Any, Dict
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, StreamingResponse
from agent.llm import DeepSeekClient
from agent.memory import Memory
from agent.agent import Agent
from agent.commands import CommandRegistry
app = FastAPI(
title="LibreChat Agent Backend",
version="0.1.0",
)
llm = DeepSeekClient()
memory = Memory()
agent = Agent(llm=llm, memory=memory)
commands_registry = CommandRegistry(memory=memory)
def extract_last_user_content(messages: list[Dict[str, Any]]) -> str:
last = ""
for m in reversed(messages):
if m.get("role") == "user":
last = m.get("content") or ""
break
return last
@app.post("/v1/chat/completions")
async def chat_completions(request: Request):
body = await request.json()
model = body.get("model", "local-deepseek-agent")
messages = body.get("messages", [])
stream = body.get("stream", False)
user_input = extract_last_user_content(messages)
print("Received chat completion request, stream =", stream, "input:", user_input)
# 🔹 1) Si c'est une commande, on ne fait PAS intervenir le LLM
if user_input.strip().startswith("/"):
answer = commands_registry.handle(user_input)
else:
# 🔹 2) Sinon, logique agent + LLM comme avant
answer = agent.step(user_input)
# Ensuite = même logique de réponse (non-stream ou stream)
created_ts = int(time.time())
completion_id = f"chatcmpl-{uuid.uuid4().hex}"
if not stream:
resp = {
"id": completion_id,
"object": "chat.completion",
"created": created_ts,
"model": model,
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": answer or "",
},
}
],
"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
}
return JSONResponse(resp)
async def event_generator():
chunk = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created_ts,
"model": model,
"choices": [
{
"index": 0,
"delta": {
"role": "assistant",
"content": answer or "",
},
"finish_reason": "stop",
}
],
}
yield f"data: {json.dumps(chunk, ensure_ascii=False)}\n\n"
yield "data: [DONE]\n\n"
return StreamingResponse(event_generator(), media_type="text/event-stream")

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poetry.lock generated Normal file
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brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
version = "0.38.0"
description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.9"
files = [
{file = "uvicorn-0.38.0-py3-none-any.whl", hash = "sha256:48c0afd214ceb59340075b4a052ea1ee91c16fbc2a9b1469cca0e54566977b02"},
{file = "uvicorn-0.38.0.tar.gz", hash = "sha256:fd97093bdd120a2609fc0d3afe931d4d4ad688b6e75f0f929fde1bc36fe0e91d"},
]
[package.dependencies]
click = ">=7.0"
h11 = ">=0.8"
[package.extras]
standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.12"
content-hash = "d3b26d34ebba5908117ed1c2eafe741efa24bc5e3319b217a526cee19bf60ed8"

View File

@@ -7,6 +7,11 @@ readme = "README.md"
[tool.poetry.dependencies]
python = "^3.12"
dotenv = "^0.9.9"
requests = "^2.32.5"
fastapi = "^0.121.1"
pydantic = "^2.12.4"
uvicorn = "^0.38.0"
[build-system]