feat!: migrate to OpenAI native tool calls and fix circular deps (#fuck-gemini)

- Fix circular dependencies in agent/tools
- Migrate from custom JSON to OpenAI tool calls format
- Add async streaming (step_stream, complete_stream)
- Simplify prompt system and remove token counting
- Add 5 new API endpoints (/health, /v1/models, /api/memory/*)
- Add 3 new tools (get_torrent_by_index, add_torrent_by_index, set_language)
- Fix all 500 tests and add coverage config (80% threshold)
- Add comprehensive docs (README, pytest guide)

BREAKING: LLM interface changed, memory injection via get_memory()

agent/config.py

@@ -1,8 +1,9 @@
 """Configuration management with validation."""
-from dataclasses import dataclass, field
+
 import os
+from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Optional
+
 from dotenv import load_dotenv
 
 # Load environment variables from .env file
@@ -11,6 +12,7 @@ load_dotenv()
 
 class ConfigurationError(Exception):
     """Raised when configuration is invalid."""
+
     pass
 
 
@@ -19,24 +21,46 @@ class Settings:
     """Application settings loaded from environment variables."""
 
     # LLM Configuration
-    deepseek_api_key: str = field(default_factory=lambda: os.getenv("DEEPSEEK_API_KEY", ""))
-    deepseek_base_url: str = field(default_factory=lambda: os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com"))
-    model: str = field(default_factory=lambda: os.getenv("DEEPSEEK_MODEL", "deepseek-chat"))
-    temperature: float = field(default_factory=lambda: float(os.getenv("TEMPERATURE", "0.2")))
+    deepseek_api_key: str = field(
+        default_factory=lambda: os.getenv("DEEPSEEK_API_KEY", "")
+    )
+    deepseek_base_url: str = field(
+        default_factory=lambda: os.getenv(
+            "DEEPSEEK_BASE_URL", "https://api.deepseek.com"
+        )
+    )
+    model: str = field(
+        default_factory=lambda: os.getenv("DEEPSEEK_MODEL", "deepseek-chat")
+    )
+    temperature: float = field(
+        default_factory=lambda: float(os.getenv("TEMPERATURE", "0.2"))
+    )
 
     # TMDB Configuration
     tmdb_api_key: str = field(default_factory=lambda: os.getenv("TMDB_API_KEY", ""))
-    tmdb_base_url: str = field(default_factory=lambda: os.getenv("TMDB_BASE_URL", "https://api.themoviedb.org/3"))
+    tmdb_base_url: str = field(
+        default_factory=lambda: os.getenv(
+            "TMDB_BASE_URL", "https://api.themoviedb.org/3"
+        )
+    )
 
     # Storage Configuration
-    memory_file: str = field(default_factory=lambda: os.getenv("MEMORY_FILE", "memory.json"))
+    memory_file: str = field(
+        default_factory=lambda: os.getenv("MEMORY_FILE", "memory.json")
+    )
 
     # Security Configuration
-    max_tool_iterations: int = field(default_factory=lambda: int(os.getenv("MAX_TOOL_ITERATIONS", "5")))
-    request_timeout: int = field(default_factory=lambda: int(os.getenv("REQUEST_TIMEOUT", "30")))
-    
+    max_tool_iterations: int = field(
+        default_factory=lambda: int(os.getenv("MAX_TOOL_ITERATIONS", "5"))
+    )
+    request_timeout: int = field(
+        default_factory=lambda: int(os.getenv("REQUEST_TIMEOUT", "30"))
+    )
+
     # Memory Configuration
-    max_history_messages: int = field(default_factory=lambda: int(os.getenv("MAX_HISTORY_MESSAGES", "10")))
+    max_history_messages: int = field(
+        default_factory=lambda: int(os.getenv("MAX_HISTORY_MESSAGES", "10"))
+    )
 
     def __post_init__(self):
         """Validate settings after initialization."""
@@ -46,19 +70,27 @@ class Settings:
         """Validate configuration values."""
         # Validate temperature
         if not 0.0 <= self.temperature <= 2.0:
-            raise ConfigurationError(f"Temperature must be between 0.0 and 2.0, got {self.temperature}")
+            raise ConfigurationError(
+                f"Temperature must be between 0.0 and 2.0, got {self.temperature}"
+            )
 
         # Validate max_tool_iterations
         if self.max_tool_iterations < 1 or self.max_tool_iterations > 20:
-            raise ConfigurationError(f"max_tool_iterations must be between 1 and 20, got {self.max_tool_iterations}")
+            raise ConfigurationError(
+                f"max_tool_iterations must be between 1 and 20, got {self.max_tool_iterations}"
+            )
 
         # Validate request_timeout
         if self.request_timeout < 1 or self.request_timeout > 300:
-            raise ConfigurationError(f"request_timeout must be between 1 and 300 seconds, got {self.request_timeout}")
+            raise ConfigurationError(
+                f"request_timeout must be between 1 and 300 seconds, got {self.request_timeout}"
+            )
 
         # Validate URLs
         if not self.deepseek_base_url.startswith(("http://", "https://")):
-            raise ConfigurationError(f"Invalid deepseek_base_url: {self.deepseek_base_url}")
+            raise ConfigurationError(
+                f"Invalid deepseek_base_url: {self.deepseek_base_url}"
+            )
 
         if not self.tmdb_base_url.startswith(("http://", "https://")):
             raise ConfigurationError(f"Invalid tmdb_base_url: {self.tmdb_base_url}")
@@ -66,7 +98,9 @@ class Settings:
         # Validate memory file path
         memory_path = Path(self.memory_file)
         if memory_path.exists() and not memory_path.is_file():
-            raise ConfigurationError(f"memory_file exists but is not a file: {self.memory_file}")
+            raise ConfigurationError(
+                f"memory_file exists but is not a file: {self.memory_file}"
+            )
 
     def is_deepseek_configured(self) -> bool:
         """Check if DeepSeek API is properly configured."""