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()
This commit is contained in:
2025-12-06 19:11:05 +01:00
parent 2c8cdd3ab1
commit 9ca31e45e0
92 changed files with 7897 additions and 1786 deletions
+16 -13
View File
@@ -1,21 +1,23 @@
"""Torrent application DTOs."""
from dataclasses import dataclass
from typing import Optional, List, Dict, Any
from typing import Any
@dataclass
class SearchTorrentsResponse:
"""Response from searching for torrents."""
status: str
torrents: Optional[List[Dict[str, Any]]] = None
count: Optional[int] = None
error: Optional[str] = None
message: Optional[str] = None
torrents: list[dict[str, Any]] | None = None
count: int | None = None
error: str | None = None
message: str | None = None
def to_dict(self):
"""Convert to dict for agent compatibility."""
result = {"status": self.status}
if self.error:
result["error"] = self.error
result["message"] = self.message
@@ -24,24 +26,25 @@ class SearchTorrentsResponse:
result["torrents"] = self.torrents
if self.count is not None:
result["count"] = self.count
return result
@dataclass
class AddTorrentResponse:
"""Response from adding a torrent."""
status: str
message: Optional[str] = None
error: Optional[str] = None
message: str | None = None
error: str | None = None
def to_dict(self):
"""Convert to dict for agent compatibility."""
result = {"status": self.status}
if self.error:
result["error"] = self.error
if self.message:
result["message"] = self.message
return result