added seerr beginning tools
Build and Push Agent API / build (push) Successful in 15s

This commit is contained in:
2026-05-11 20:38:29 +02:00
parent 2ee33b50eb
commit d943d4bd31
11 changed files with 879 additions and 67 deletions
+14
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@@ -0,0 +1,14 @@
# ---------------------------------------------------------------------------
# Agent Backend — Environment Variables
# Copy this to .env and fill in your values.
# ---------------------------------------------------------------------------
# LLM — DeepSeek (OpenAI-compatible)
DEEPSEEK_API_KEY=sk-your-deepseek-api-key
# ---------------------------------------------------------------------------
# Seerr (Overseerr / Jellyseerr)
# ---------------------------------------------------------------------------
SEERR_URL=https://seerr.example.com
SEERR_API_KEY=your-seerr-api-key
# SEERR_TIMEOUT=30 # optional, defaults to 30 seconds
+2
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@@ -62,3 +62,5 @@ def load_all_agents() -> None:
# Also import skill modules so they self-register
import skills.media_info # noqa: F401
import skills.seerr # noqa: F401
import skills.triage # noqa: F401
+13 -6
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@@ -2,18 +2,25 @@
media-agent — an agent that knows how to handle media queries
(Jellyfin / Sonarr / Seerr / subtitle requests).
For now it only loads the *media_info* demo skill which teaches it
a structured response format. Later you'll add real API-calling skills.
Skills:
- media_info : base persona (prompt-only)
- seerr : trending, discover, request media, submit issues (tools + API)
- triage : fallback for unsupported actions (prompt-only, uses seerr tools)
"""
from agents import Agent, register
media_agent = Agent(
agent_id="media-agent",
description="Media assistant — handles movie/TV/subtitle/ticket requests. "
"Will eventually connect to Seerr, Sonarr, Jellyfin, etc.",
skills=["media_info"],
base_prompt="You are a media assistant. Help users with their media library.",
description="Media assistant — handles movie/TV/subtitle/ticket requests "
"via Seerr, Jellyfin, Sonarr, etc.",
skills=["media_info", "seerr", "triage"],
base_prompt=(
"You are a media assistant connected to Seerr and other media services. "
"Help users discover, request, and troubleshoot their media library. "
"Use the tools provided to perform real actions."
),
)
register(media_agent)
+191 -24
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@@ -1,4 +1,4 @@
from fastapi import APIRouter, Body, Depends
from fastapi import APIRouter, Depends
from fastapi.responses import StreamingResponse
from openai import OpenAI
from pydantic import BaseModel
@@ -7,6 +7,7 @@ import asyncio
from api.dependencies import get_llm_client
from agents import get as get_agent, list_all as list_all_agents
from skills import get_all_tools, execute_tool, ToolResult
router = APIRouter()
@@ -24,34 +25,99 @@ class ChatCompletionRequest(BaseModel):
# ---------------------------------------------------------------------------
# Core helpers
# Agent resolution
# ---------------------------------------------------------------------------
def _resolve_agent(agent_id: str | None = None, model: str | None = None):
"""
Look up the agent. Resolution order:
Resolution order:
1. explicit agent_id
2. model name (OpenWebUI sends this — maps to agent_id if registered)
2. model field (OpenWebUI sends this — maps to agent_id if registered)
3. fallback to "naked"
"""
lookup = agent_id or model
if lookup is None:
agent = get_agent("naked")
else:
return get_agent("naked")
agent = get_agent(lookup)
if agent is None:
agent = get_agent("naked")
return agent
return agent if agent else get_agent("naked")
def run_agent(
# ---------------------------------------------------------------------------
# Tool-calling loop (non-streaming)
# ---------------------------------------------------------------------------
async def run_agent_with_tools(
client: OpenAI,
message: str,
agent_id: str | None = None,
model: str | None = None,
max_turns: int = 5,
) -> str:
"""Send the user message to the LLM with tool definitions.
Loop: if the LLM responds with tool_calls, execute them and feed
results back until the LLM produces a final text answer.
"""
agent = _resolve_agent(agent_id, model)
tools = get_all_tools(agent.skills)
system_prompt = agent.build_system_prompt()
messages: list[dict] = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": message},
]
loop = asyncio.get_running_loop()
for _ in range(max_turns):
resp = await loop.run_in_executor(
None,
lambda: client.chat.completions.create(
model="deepseek-chat",
messages=messages,
tools=tools if tools else None,
tool_choice="auto" if tools else None,
),
)
choice = resp.choices[0]
# If the model sends a final text answer, return it
if choice.finish_reason == "stop" and choice.message.content:
return choice.message.content
# If the model wants to call tools
if choice.message.tool_calls:
# Append the assistant message with tool_calls
messages.append(choice.message.model_dump(exclude_none=True))
for tc in choice.message.tool_calls:
fn_name = tc.function.name
fn_args = json.loads(tc.function.arguments)
tr = await execute_tool(agent.skills, fn_name, fn_args)
result = tr.content if tr else f"Tool '{fn_name}' is not available right now."
messages.append({
"role": "tool",
"tool_call_id": tc.id,
"content": result,
})
continue
# Fallback — should not normally happen
return choice.message.content or "I'm not sure how to help with that."
return "I've taken several actions but still need more information. Could you clarify?"
# ---------------------------------------------------------------------------
# Non-streaming helper (no tools — used by sync endpoint if tools are absent)
# ---------------------------------------------------------------------------
def run_agent_simple(
client: OpenAI,
message: str,
session_id: str | None = None,
agent_id: str | None = None,
model: str | None = None,
) -> str:
"""Non-streaming: uses the chosen agent's system prompt."""
"""Plain LLM call — no tools. Used when the agent has no tool-enabled skills."""
agent = _resolve_agent(agent_id, model)
response = client.chat.completions.create(
model="deepseek-chat",
@@ -63,15 +129,105 @@ def run_agent(
return response.choices[0].message.content
# ---------------------------------------------------------------------------
# Streaming generators
# ---------------------------------------------------------------------------
async def _stream_with_tools(
client: OpenAI,
message: str,
agent_id: str | None = None,
model: str | None = None,
max_turns: int = 5,
):
"""Streaming version with tool-calling loop.
Yields tokens from the final text response (tools run silently in the background).
"""
agent = _resolve_agent(agent_id, model)
tools = get_all_tools(agent.skills)
system_prompt = agent.build_system_prompt()
messages: list[dict] = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": message},
]
loop = asyncio.get_running_loop()
for turn in range(max_turns):
# Non-streaming call to check for tool_calls
resp = await loop.run_in_executor(
None,
lambda: client.chat.completions.create(
model="deepseek-chat",
messages=messages,
tools=tools if tools else None,
tool_choice="auto" if tools else None,
),
)
choice = resp.choices[0]
# Tool calls? Execute them and loop
if choice.message.tool_calls:
messages.append(choice.message.model_dump(exclude_none=True))
for tc in choice.message.tool_calls:
fn_name = tc.function.name
fn_args = json.loads(tc.function.arguments)
tr = await execute_tool(agent.skills, fn_name, fn_args)
result = tr.content if tr else f"Tool '{fn_name}' is not available right now."
messages.append({
"role": "tool",
"tool_call_id": tc.id,
"content": result,
})
continue
# Final text answer — stream it
if choice.finish_reason == "stop" and choice.message.content:
# Already have a non-streaming answer — yield it token-by-token
for token in choice.message.content:
yield token
await asyncio.sleep(0)
return
# Last resort: stream the final response
def _sync_stream():
stream = client.chat.completions.create(
model="deepseek-chat",
messages=messages,
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta
if delta and delta.content:
yield delta.content
gen = _sync_stream()
while True:
token = await loop.run_in_executor(None, next, gen, None)
if token is None:
return
yield token
yield ""
async def run_agent_stream(
client: OpenAI,
message: str,
session_id: str | None = None,
agent_id: str | None = None,
model: str | None = None,
):
"""Async generator — yields tokens using the chosen agent's system prompt."""
"""Async generator — yields tokens. Uses tool-loop when skills have tools."""
agent = _resolve_agent(agent_id, model)
tools = get_all_tools(agent.skills)
if tools:
async for token in _stream_with_tools(client, message, agent_id, model):
yield token
return
# No tools — simple streaming
system_prompt = agent.build_system_prompt()
loop = asyncio.get_running_loop()
@@ -111,7 +267,7 @@ async def chat(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
"""Streaming chat endpoint — returns Server-Sent Events."""
async def event_stream():
async for token in run_agent_stream(
client, req.message, req.session_id, req.agent_id,
client, req.message, req.agent_id,
):
payload = json.dumps({"token": token, "session_id": req.session_id})
yield f"data: {payload}\n\n"
@@ -130,9 +286,18 @@ async def chat(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
@router.post("/chat/sync")
def chat_sync(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
"""Non-streaming fallback — returns the full response at once."""
response = run_agent(client, req.message, req.session_id, req.agent_id)
async def chat_sync(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
"""Non-streaming endpoint — uses tool-calling when the agent has tools."""
agent = _resolve_agent(req.agent_id)
tools = get_all_tools(agent.skills)
if tools:
response = await run_agent_with_tools(
client, req.message, req.agent_id,
)
else:
response = run_agent_simple(client, req.message, req.agent_id)
return {"response": response, "session_id": req.session_id}
@@ -174,11 +339,9 @@ async def chat_completions(
client: OpenAI = Depends(get_llm_client),
):
"""OpenAI-compatible /chat/completions — supports stream=True.
The last message's content is used as the user prompt; defaults to 'naked' agent.
Resolves the agent from the model field (OpenWebUI sends this).
"""
user_message = req.messages[-1]["content"]
# Resolve agent from the model field (OpenWebUI sends this)
agent = _resolve_agent(model=req.model)
if req.stream:
@@ -219,9 +382,13 @@ async def chat_completions(
},
)
# Non-streaming path — resolve agent from model field
agent = _resolve_agent(model=req.model)
response = run_agent(client, user_message, agent_id=agent.agent_id)
# Non-streaming path
tools = get_all_tools(agent.skills)
if tools:
response = await run_agent_with_tools(client, user_message, agent_id=agent.agent_id)
else:
response = run_agent_simple(client, user_message, agent_id=agent.agent_id)
return {
"id": "chatcmpl-local",
"object": "chat.completion",
+25 -1
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@@ -2,6 +2,30 @@ from dotenv import load_dotenv
from pathlib import Path
import os
load_dotenv(Path(__file__).resolve().parent.parent / ".env")
# ---------------------------------------------------------------------------
# Load .env from the project root (one level above core/)
# ---------------------------------------------------------------------------
_env_path = Path(__file__).resolve().parent.parent / ".env"
load_dotenv(_env_path)
# ---------------------------------------------------------------------------
# General-purpose config accessor — every skill uses this
# ---------------------------------------------------------------------------
def get_config(key: str, default: str | None = None) -> str | None:
"""Read a value from the environment (loaded from .env)."""
return os.getenv(key, default)
# ---------------------------------------------------------------------------
# LLM
# ---------------------------------------------------------------------------
DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
# ---------------------------------------------------------------------------
# Seerr (Overseerr / Jellyseerr)
# ---------------------------------------------------------------------------
SEERR_URL = os.getenv("SEERR_URL", "")
SEERR_API_KEY = os.getenv("SEERR_API_KEY", "")
SEERR_TIMEOUT = int(os.getenv("SEERR_TIMEOUT", "30"))
+11
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@@ -1,3 +1,5 @@
import logging
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
@@ -5,6 +7,15 @@ from api.v1.chat import router as v1_router
from core.config import DEEPSEEK_API_KEY
from core.llm import create_client
# ---------------------------------------------------------------------------
# Logging — tool calls will appear in the uvicorn console
# ---------------------------------------------------------------------------
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(name)s] %(levelname)s: %(message)s",
datefmt="%H:%M:%S",
)
# ---------------------------------------------------------------------------
# Load all agents & skills so they self-register at startup
# ---------------------------------------------------------------------------
+1
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@@ -2,3 +2,4 @@ fastapi
openai
uvicorn
python-dotenv
httpx
+80 -1
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@@ -6,10 +6,38 @@ A Skill is a lightweight object with:
- name : short identifier (e.g. "media_info")
- description : human-readable summary
- prompt_fragment : extra text injected into the agent's system prompt
- tools : OpenAI function-calling tool definitions (list of dicts)
- execute : async callable to run a tool → ToolResult
"""
from dataclasses import dataclass, field
from typing import Dict
from typing import Any, Awaitable, Callable, Dict, List, Optional
from core.config import get_config # re-export so every skill can use it
# ---------------------------------------------------------------------------
# ToolResult — every skill executor must return this
# ---------------------------------------------------------------------------
@dataclass
class ToolResult:
"""Result of executing a tool.
- success: True if the API returned 2xx and the action completed.
- content: The message to feed back to the LLM (will be shown to the user).
"""
content: str
success: bool = True
@classmethod
def ok(cls, content: str) -> "ToolResult":
return cls(content=content, success=True)
@classmethod
def fail(cls, content: str) -> "ToolResult":
return cls(content=content, success=False)
# Type alias for a tool executor
ToolExecutor = Callable[[str, dict], Awaitable[ToolResult]]
@dataclass
@@ -17,6 +45,8 @@ class Skill:
name: str
description: str
prompt_fragment: str = ""
tools: List[Dict[str, Any]] = field(default_factory=list)
execute: Optional[ToolExecutor] = None
# ---------------------------------------------------------------------------
@@ -48,3 +78,52 @@ def get_combined_prompt(skill_names: list[str], base_prompt: str = "") -> str:
if s and s.prompt_fragment:
parts.append(s.prompt_fragment)
return "\n\n".join(parts)
def get_all_tools(skill_names: list[str]) -> List[Dict[str, Any]]:
"""Collect all OpenAI tool definitions across the requested skills."""
tools: List[Dict[str, Any]] = []
seen: set[str] = set()
for name in skill_names:
s = get(name)
if s:
for t in s.tools:
fn_name = t.get("function", {}).get("name", "")
if fn_name and fn_name not in seen:
seen.add(fn_name)
tools.append(t)
return tools
async def execute_tool(
skill_names: list[str], tool_name: str, args: dict
) -> ToolResult | None:
"""Find the skill that owns *tool_name* and run its executor.
Only logs failures to the console — successful calls are silent.
"""
import logging
logger = logging.getLogger("skills")
for name in skill_names:
s = get(name)
if s and s.execute:
for t in s.tools:
if t.get("function", {}).get("name") == tool_name:
try:
result = await s.execute(tool_name, args)
if not result.success:
logger.warning(
"⚠️ TOOL FAILED: %s | args=%s%s",
tool_name, args, result.content[:300],
)
return result
except Exception as exc:
logger.exception(
"💥 TOOL CRASH: %s | args=%s", tool_name, args
)
return ToolResult.fail(
f"Tool '{tool_name}' crashed unexpectedly: {exc}"
)
logger.warning("⚠️ TOOL NOT FOUND: %s (skills=%s)", tool_name, skill_names)
return None
+16 -30
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@@ -1,45 +1,31 @@
"""
Demo skill: media_info
Gives the agent knowledge about how to respond to media-related queries
(movie / TV / subtitle requests). This is intentionally simple — in the future
you would add real API-calling skills here (Sonarr / Jellyfin / Seerr / etc.).
A lightweight base skill that teaches the agent it is a media assistant.
Real API capabilities come from other skills (seerr, triage, etc.).
"""
from skills import Skill, register
media_info_skill = Skill(
name="media_info",
description="Respond to media queries with a structured format "
"(movie / TV show requests, subtitles, tickets).",
prompt_fragment="""## Media Agent Instructions
description="Base media assistant persona — movie, TV, subtitle, and media requests.",
prompt_fragment="""## Media Assistant Persona
You are a media assistant. When users ask about movies, TV shows, subtitles,
or media library requests, follow these rules:
You are a friendly media assistant connected to a media back-end (Seerr,
Jellyfin, Sonarr, etc.). Your job is to help users discover, request, and
troubleshoot their media library.
- If a user wants to **request** a movie or show, respond with a clear
confirmation using this format:
When responding:
- Be concise and helpful.
- Use the tools available to you for real actions.
- If a user asks about **subtitles**, explain that Bazarr handles those and
suggest submitting a ticket if there's a problem.
- Always confirm successful actions and warn about failures.
```
[MEDIA REQUEST]
Title: <title>
Type: <movie | show>
Status: PENDING — this would be submitted to Seerr
```
- If a user asks about **subtitles**, acknowledge the request and respond with:
```
[SUBTITLE REQUEST]
Media: <title>
Language: <language>
Status: PENDING — Bazarr would process this
```
- Otherwise, answer normally but always remind the user that media-backend
integrations (Seerr, Sonarr, Jellyfin) are not yet connected.
This is a **demo** skill. Real API calls will be added later.""",
This is the base media assistant persona. Real API capabilities come from the
attached skills (seerr, triage, etc.).""",
)
register(media_info_skill)
+470
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@@ -0,0 +1,470 @@
"""
Seerr skill — connects to Overseerr / Jellyseerr API for media discovery,
requests, and issue submission.
.env variables:
SEERR_URL base URL (e.g. https://seerr.example.com)
SEERR_API_KEY API key from Seerr settings
SEERR_TIMEOUT optional request timeout in seconds (default 30)
"""
from __future__ import annotations
import json
from urllib.parse import quote
import httpx
from skills import Skill, register, ToolResult, get_config
# ---------------------------------------------------------------------------
# Config
# ---------------------------------------------------------------------------
SEERR_URL = (get_config("SEERR_URL") or "").rstrip("/")
SEERR_API_KEY = get_config("SEERR_API_KEY") or ""
SEERR_TIMEOUT = int(get_config("SEERR_TIMEOUT", "30"))
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _client() -> httpx.AsyncClient:
return httpx.AsyncClient(
base_url=SEERR_URL,
headers={"X-Api-Key": SEERR_API_KEY},
timeout=SEERR_TIMEOUT,
)
def _fmt_items(items: list[dict], kind: str) -> str:
"""Format a list of media items for the LLM to present."""
lines = []
for i, item in enumerate(items[:10], 1):
title = item.get("title") or item.get("name") or "Unknown"
year = (
item.get("releaseDate", "")[:4]
or item.get("firstAirDate", "")[:4]
or "?"
)
overview = (item.get("overview") or "")[:120]
lines.append(f"{i}. **{title}** ({year}) — {overview}")
return f"Found {len(items)} {kind}. Top results:\n\n" + "\n".join(lines)
# ---------------------------------------------------------------------------
# Tool definitions (OpenAI function-calling schema)
# ---------------------------------------------------------------------------
TOOLS = [
{
"type": "function",
"function": {
"name": "seerr_trending",
"description": "Get trending movies and TV shows from Seerr using "
"the /discover/trending endpoint. Call this when a user asks what "
"is popular, trending, or new.",
"parameters": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": ["movie", "tv", "all"],
"description": "What kind of media to fetch. "
"Use 'all' when the user doesn't specify.",
},
"language": {
"type": "string",
"description": "Language filter (e.g. 'en', 'nl'). "
"Omit for all languages.",
},
},
"required": ["kind"],
},
},
},
{
"type": "function",
"function": {
"name": "seerr_discover",
"description": "Discover movies or TV shows by genre, studio, "
"keyword, or language in Seerr. Uses /discover/{movies|tv}/genre/{id} "
"for genre queries, /discover/{movies|tv}/studio/{id} for studios, "
"and /discover/{movies|tv}?query= for keyword search. "
"Call when a user asks 'what movies in category X do you recommend?' "
"or 'show me horror movies' or 'find Studio Ghibli movies'.",
"parameters": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": ["movie", "tv"],
"description": "Media type to search.",
},
"genre": {
"type": "string",
"description": "Genre name, e.g. 'horror', 'comedy', "
"'animation', 'action', 'science fiction'. "
"Use this for genre-based discovery.",
},
"studio": {
"type": "string",
"description": "Studio name to filter by, e.g. "
"'Studio Ghibli', 'Pixar', 'Marvel'. "
"Use this for studio-based discovery.",
},
"keyword": {
"type": "string",
"description": "Free-text keyword search, e.g. "
"'space', 'superhero', 'dinosaur'. "
"Use this for topic-based discovery.",
},
"language": {
"type": "string",
"description": "Language filter (e.g. 'en', 'ja'). "
"Omit for all languages.",
},
"page": {
"type": "integer",
"description": "Page number (default 1).",
},
},
"required": ["kind"],
},
},
},
{
"type": "function",
"function": {
"name": "seerr_request_media",
"description": "Request a movie or TV show to be added to the media "
"library via Seerr. Call when a user asks 'can you request movie X?' "
"or 'please add show Y'.",
"parameters": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": ["movie", "tv"],
"description": "Whether this is a movie or TV show.",
},
"title": {
"type": "string",
"description": "The title of the movie or TV show to request.",
},
"tmdb_id": {
"type": "integer",
"description": "The TMDb ID if known (optional — Seerr will "
"search by title if not provided).",
},
},
"required": ["kind", "title"],
},
},
},
{
"type": "function",
"function": {
"name": "seerr_submit_issue",
"description": "Submit a ticket/issue for a specific media item. "
"Call when a user wants to report a problem (bad quality, wrong "
"language, missing episodes, corrupt file, etc.) or when they want "
"an action that only a human operator can perform. "
"IMPORTANT: always include the media_title so the system can "
"look up the correct mediaId.",
"parameters": {
"type": "object",
"properties": {
"subject": {
"type": "string",
"description": "Short summary of the issue.",
},
"description": {
"type": "string",
"description": "Detailed description of the problem.",
},
"media_title": {
"type": "string",
"description": "The movie or TV show title this issue "
"relates to. Always provide this — the system will "
"search for the matching mediaId.",
},
"issue_type": {
"type": "integer",
"enum": [1, 2, 3, 4],
"description": "Issue category code: "
"1 = Video (playback, codec, quality), "
"2 = Audio (sync, missing), "
"3 = Subtitle (missing, wrong, timing), "
"4 = Other (operator-only actions like delete/cancel).",
},
},
"required": ["subject", "description", "media_title", "issue_type"],
},
},
},
]
# ---------------------------------------------------------------------------
# Tool executor
# ---------------------------------------------------------------------------
async def _execute(tool_name: str, args: dict) -> ToolResult:
"""Route tool calls to the right handler. Returns ToolResult with success
based on HTTP status code (2xx = ok, everything else = fail)."""
import logging
logger = logging.getLogger("skills.seerr")
handlers = {
"seerr_trending": _trending,
"seerr_discover": _discover,
"seerr_request_media": _request_media,
"seerr_submit_issue": _submit_issue,
}
handler = handlers.get(tool_name)
if not handler:
return ToolResult.fail(f"Unknown tool: {tool_name}")
try:
result = await handler(args)
return result
except httpx.HTTPStatusError as exc:
status = exc.response.status_code
body = exc.response.text[:500]
logger.error("Seerr API HTTP %s on %s: %s", status, tool_name, body)
return ToolResult.fail(
f"Seerr API returned HTTP {status} for '{tool_name}'. "
f"Response: {body}"
)
except httpx.HTTPError as exc:
logger.error("Seerr API network error on %s: %s", tool_name, exc)
return ToolResult.fail(
f"Seerr API is unreachable for '{tool_name}': {exc}"
)
except Exception as exc:
logger.exception("Unexpected error in %s", tool_name)
return ToolResult.fail(f"Unexpected error in '{tool_name}': {exc}")
# ---------------------------------------------------------------------------
# API handlers
# ---------------------------------------------------------------------------
async def _trending(args: dict) -> ToolResult:
"""Use Jellyseerr's /api/v1/discover/trending endpoint.
Query params: language (optional), mediaType (movie | tv, default all).
"""
media_type = args.get("kind", "all")
language = args.get("language", "").strip() or None
params: dict = {}
if media_type in ("movie", "tv"):
params["mediaType"] = media_type
if language:
params["language"] = language
async with _client() as c:
r = await c.get("/api/v1/discover/trending", params=params)
r.raise_for_status()
data = r.json()
results = data.get("results", [])
label = f"trending {media_type}" if media_type != "all" else "trending items"
if language:
label += f" ({language})"
if not results:
return ToolResult.ok(f"No {label} found right now.")
return ToolResult.ok(_fmt_items(results, label))
async def _discover(args: dict) -> ToolResult:
"""Jellyseerr discover endpoints:
Genre: /api/v1/discover/{movies|tv}/genre/{genreId}
Studio: /api/v1/discover/{movies|tv}/studio/{studioId}
Keyword: /api/v1/discover/{movies|tv}?query=keyword
Language falls back to the base discover endpoint.
"""
kind = args["kind"]
genre = args.get("genre", "").strip()
studio = args.get("studio", "").strip()
keyword = args.get("keyword", "").strip()
language = args.get("language", "").strip() or None
page = args.get("page", 1)
# Map common genre names to TMDb genre IDs
genre_map = {
"action": 28, "adventure": 12, "animation": 16, "comedy": 35,
"crime": 80, "documentary": 99, "drama": 18, "family": 10751,
"fantasy": 14, "history": 36, "horror": 27, "music": 10402,
"mystery": 9648, "romance": 10749, "science fiction": 878,
"sci-fi": 878, "scifi": 878, "tv movie": 10770, "thriller": 53,
"war": 10752, "western": 37,
}
base = f"/api/v1/discover/{'movies' if kind == 'movie' else 'tv'}"
params: dict = {"page": page}
endpoint = base
if genre:
genre_id = genre_map.get(genre.lower())
if not genre_id:
return ToolResult.fail(
f"I don't recognise the genre '{genre}'. "
f"Try one of: {', '.join(sorted(genre_map.keys()))}."
)
endpoint = f"{base}/genre/{genre_id}"
elif studio:
endpoint = f"{base}/studio/{studio}"
elif keyword:
params["query"] = keyword
endpoint = base
if language:
params["language"] = language
async with _client() as c:
r = await c.get(endpoint, params=params)
r.raise_for_status()
results = r.json().get("results", [])
desc = genre or studio or keyword or kind
if not results:
return ToolResult.ok(f"No {desc} {kind}s found.")
return ToolResult.ok(_fmt_items(results, f"{desc} {kind}s"))
async def _request_media(args: dict) -> ToolResult:
kind = args["kind"]
title = args["title"]
tmdb_id = args.get("tmdb_id")
# Step 1: Search for the media
async with _client() as c:
r = await c.get("/api/v1/search/", params={"query": quote(title), "page": 1})
r.raise_for_status()
results = r.json().get("results", [])
# Filter by mediaType if we have results from unified search
filtered = [item for item in results if item.get("mediaType") == kind] if results else []
if not filtered:
filtered = results # fallback if mediaType not set
if not filtered:
return ToolResult.fail(
f"I couldn't find '{title}' on Seerr. "
f"Please double-check the title or provide a TMDb ID."
)
# If tmdb_id provided, match it; otherwise use the first result
match = None
if tmdb_id:
match = next(
(item for item in filtered if item.get("id") == tmdb_id),
None,
)
if not match:
match = filtered[0]
# Seerr's request endpoint expects the local mediaInfo.id
media_info = match.get("mediaInfo", {})
media_id = media_info.get("id") or match.get("id")
media_title = match.get("title") or match.get("name") or title
media_year = (
(match.get("releaseDate") or match.get("firstAirDate") or "?")[:4]
)
# Step 2: Submit the request
request_body = {
"mediaType": kind,
"mediaId": media_id,
}
if kind == "tv":
request_body["seasons"] = "all"
req_r = await c.post("/api/v1/request", json=request_body)
if req_r.status_code == 201:
return ToolResult.ok(
f"✅ Successfully requested **{media_title}** ({media_year}). "
f"It has been submitted to Seerr and will be processed soon."
)
elif req_r.status_code == 409:
return ToolResult.fail(
f"⚠️ **{media_title}** ({media_year}) has already been requested "
f"or is already available."
)
else:
detail = req_r.text
return ToolResult.fail(
f"❌ Failed to request **{media_title}** ({media_year}). "
f"Seerr responded with status {req_r.status_code}: {detail}"
)
async def _submit_issue(args: dict) -> ToolResult:
subject = args["subject"]
description = args["description"]
media_title = args.get("media_title", "")
issue_type = args.get("issue_type", 4) # numeric code: 1=video, 2=audio, 3=sub, 4=other
media_id = args.get("media_id")
body: dict = {
"issueType": int(issue_type),
"subject": subject,
"message": description,
}
if media_title:
body["message"] = f"[Media: {media_title}]\n\n{description}"
async with _client() as c:
# --- Resolve mediaId (Seerr's internal ID, not TMDb) ---
if not media_id and media_title:
search_r = await c.get("/api/v1/search/", params={"query": quote(media_title), "page": 1})
if search_r.status_code == 200:
results = search_r.json().get("results", [])
if results:
# Seerr's /api/v1/issue expects the local mediaInfo.id,
# not the TMDb id at the top level.
media_info = results[0].get("mediaInfo", {})
media_id = media_info.get("id") or results[0].get("id")
if media_id:
body["mediaId"] = int(media_id)
r = await c.post("/api/v1/issue", json=body)
resp_json = r.json() if r.text else {}
if r.status_code in (200, 201):
ticket_id = resp_json.get("id", "N/A")
return ToolResult.ok(
f"✅ Issue submitted successfully (ticket #{ticket_id}). "
f"A human operator will review: **{subject}**"
)
else:
return ToolResult.fail(
f"❌ Failed to submit issue. Seerr responded with "
f"status {r.status_code}: {r.text[:500]}"
)
# ---------------------------------------------------------------------------
# Register the skill
# ---------------------------------------------------------------------------
seerr_skill = Skill(
name="seerr",
description="Seerr integration — trending, discover, request media, submit issues",
prompt_fragment="""## Seerr Media Tools
You have access to the Seerr media management system. Use the provided tools
to help users with media-related tasks:
- **seerr_trending** — when a user asks what is trending/popular/new
- **seerr_discover** — when a user asks for recommendations by genre/category
- **seerr_request_media** — when a user wants to request a movie or TV show
- **seerr_submit_issue** — when a user needs to report a problem or needs an
operator-only action (like deleting media or cancelling a request)
Always confirm successful actions to the user. If a tool fails, tell the user
what went wrong and suggest alternatives.""",
tools=TOOLS,
execute=_execute,
)
register(seerr_skill)
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"""
Triage skill — fallback for actions that aren't covered by any registered skill.
When a user asks for something that the agent cannot do (either because the
skill doesn't exist or is intentionally unavailable — e.g. deleting media,
cancelling requests, banning users), this skill teaches the LLM to:
1. Politely explain that the action requires a human operator.
2. Offer to submit a ticket instead.
3. Use the seerr_submit_issue tool (if available) to create the ticket.
"""
from skills import Skill, register
# This skill has no tools of its own — it guides the LLM's behavior.
# The actual ticket submission is handled by seerr_submit_issue.
triage_skill = Skill(
name="triage",
description="Fallback for unsupported actions — explains limitations "
"and offers to create a ticket instead.",
prompt_fragment="""## Triage & Fallback Rules
You are a helpful media assistant, but you have limited capabilities. Follow these
rules when a user asks for something you **cannot** do:
### Actions you CANNOT perform (human-operator-only):
- Deleting media, requests, or users
- Cancelling existing requests
- Modifying library settings
- Changing user permissions
- Any destructive or administrative action
### When the user asks for an unsupported action:
1. **Politely explain** that this action requires a human operator.
2. **Offer to submit a ticket** via the seerr_submit_issue tool with a clear
description of what the user wants.
3. Never say "I don't know how to do that" without also offering the ticket
alternative.
### Example response template:
"I can't perform [action] directly — that requires a human operator for safety.
But I'd be happy to **submit a ticket** for you with all the details. Would you
like me to do that?"
Always lean toward being helpful rather than just saying no.""",
tools=[], # no tools — this is a prompt-only skill
execute=None,
)
register(triage_skill)