This commit is contained in:
@@ -0,0 +1,14 @@
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# ---------------------------------------------------------------------------
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# Agent Backend — Environment Variables
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# Copy this to .env and fill in your values.
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# ---------------------------------------------------------------------------
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# LLM — DeepSeek (OpenAI-compatible)
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DEEPSEEK_API_KEY=sk-your-deepseek-api-key
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# ---------------------------------------------------------------------------
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# Seerr (Overseerr / Jellyseerr)
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# ---------------------------------------------------------------------------
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SEERR_URL=https://seerr.example.com
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SEERR_API_KEY=your-seerr-api-key
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# SEERR_TIMEOUT=30 # optional, defaults to 30 seconds
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@@ -62,3 +62,5 @@ def load_all_agents() -> None:
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# Also import skill modules so they self-register
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import skills.media_info # noqa: F401
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import skills.seerr # noqa: F401
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import skills.triage # noqa: F401
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+13
-6
@@ -2,18 +2,25 @@
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media-agent — an agent that knows how to handle media queries
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(Jellyfin / Sonarr / Seerr / subtitle requests).
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For now it only loads the *media_info* demo skill which teaches it
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a structured response format. Later you'll add real API-calling skills.
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Skills:
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- media_info : base persona (prompt-only)
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- seerr : trending, discover, request media, submit issues (tools + API)
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- triage : fallback for unsupported actions (prompt-only, uses seerr tools)
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"""
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from agents import Agent, register
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media_agent = Agent(
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agent_id="media-agent",
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description="Media assistant — handles movie/TV/subtitle/ticket requests. "
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"Will eventually connect to Seerr, Sonarr, Jellyfin, etc.",
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skills=["media_info"],
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base_prompt="You are a media assistant. Help users with their media library.",
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description="Media assistant — handles movie/TV/subtitle/ticket requests "
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"via Seerr, Jellyfin, Sonarr, etc.",
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skills=["media_info", "seerr", "triage"],
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base_prompt=(
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"You are a media assistant connected to Seerr and other media services. "
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"Help users discover, request, and troubleshoot their media library. "
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"Use the tools provided to perform real actions."
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),
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)
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register(media_agent)
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+191
-24
@@ -1,4 +1,4 @@
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from fastapi import APIRouter, Body, Depends
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from fastapi import APIRouter, Depends
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from fastapi.responses import StreamingResponse
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from openai import OpenAI
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from pydantic import BaseModel
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@@ -7,6 +7,7 @@ import asyncio
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from api.dependencies import get_llm_client
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from agents import get as get_agent, list_all as list_all_agents
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from skills import get_all_tools, execute_tool, ToolResult
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router = APIRouter()
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@@ -24,34 +25,99 @@ class ChatCompletionRequest(BaseModel):
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# ---------------------------------------------------------------------------
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# Core helpers
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# Agent resolution
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# ---------------------------------------------------------------------------
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def _resolve_agent(agent_id: str | None = None, model: str | None = None):
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"""
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Look up the agent. Resolution order:
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Resolution order:
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1. explicit agent_id
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2. model name (OpenWebUI sends this — maps to agent_id if registered)
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2. model field (OpenWebUI sends this — maps to agent_id if registered)
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3. fallback to "naked"
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"""
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lookup = agent_id or model
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if lookup is None:
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agent = get_agent("naked")
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else:
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return get_agent("naked")
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agent = get_agent(lookup)
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if agent is None:
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agent = get_agent("naked")
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return agent
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return agent if agent else get_agent("naked")
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def run_agent(
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# ---------------------------------------------------------------------------
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# Tool-calling loop (non-streaming)
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# ---------------------------------------------------------------------------
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async def run_agent_with_tools(
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client: OpenAI,
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message: str,
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agent_id: str | None = None,
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model: str | None = None,
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max_turns: int = 5,
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) -> str:
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"""Send the user message to the LLM with tool definitions.
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Loop: if the LLM responds with tool_calls, execute them and feed
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results back until the LLM produces a final text answer.
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"""
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agent = _resolve_agent(agent_id, model)
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tools = get_all_tools(agent.skills)
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system_prompt = agent.build_system_prompt()
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messages: list[dict] = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": message},
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]
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loop = asyncio.get_running_loop()
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for _ in range(max_turns):
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resp = await loop.run_in_executor(
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None,
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lambda: client.chat.completions.create(
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model="deepseek-chat",
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messages=messages,
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tools=tools if tools else None,
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tool_choice="auto" if tools else None,
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),
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)
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choice = resp.choices[0]
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# If the model sends a final text answer, return it
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if choice.finish_reason == "stop" and choice.message.content:
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return choice.message.content
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# If the model wants to call tools
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if choice.message.tool_calls:
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# Append the assistant message with tool_calls
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messages.append(choice.message.model_dump(exclude_none=True))
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for tc in choice.message.tool_calls:
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fn_name = tc.function.name
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fn_args = json.loads(tc.function.arguments)
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tr = await execute_tool(agent.skills, fn_name, fn_args)
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result = tr.content if tr else f"Tool '{fn_name}' is not available right now."
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messages.append({
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"role": "tool",
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"tool_call_id": tc.id,
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"content": result,
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})
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continue
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# Fallback — should not normally happen
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return choice.message.content or "I'm not sure how to help with that."
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return "I've taken several actions but still need more information. Could you clarify?"
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# ---------------------------------------------------------------------------
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# Non-streaming helper (no tools — used by sync endpoint if tools are absent)
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# ---------------------------------------------------------------------------
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def run_agent_simple(
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client: OpenAI,
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message: str,
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session_id: str | None = None,
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agent_id: str | None = None,
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model: str | None = None,
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) -> str:
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"""Non-streaming: uses the chosen agent's system prompt."""
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"""Plain LLM call — no tools. Used when the agent has no tool-enabled skills."""
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agent = _resolve_agent(agent_id, model)
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response = client.chat.completions.create(
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model="deepseek-chat",
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@@ -63,15 +129,105 @@ def run_agent(
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return response.choices[0].message.content
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# ---------------------------------------------------------------------------
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# Streaming generators
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# ---------------------------------------------------------------------------
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async def _stream_with_tools(
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client: OpenAI,
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message: str,
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agent_id: str | None = None,
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model: str | None = None,
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max_turns: int = 5,
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):
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"""Streaming version with tool-calling loop.
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Yields tokens from the final text response (tools run silently in the background).
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"""
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agent = _resolve_agent(agent_id, model)
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tools = get_all_tools(agent.skills)
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system_prompt = agent.build_system_prompt()
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messages: list[dict] = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": message},
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]
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loop = asyncio.get_running_loop()
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for turn in range(max_turns):
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# Non-streaming call to check for tool_calls
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resp = await loop.run_in_executor(
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None,
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lambda: client.chat.completions.create(
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model="deepseek-chat",
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messages=messages,
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tools=tools if tools else None,
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tool_choice="auto" if tools else None,
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),
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)
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choice = resp.choices[0]
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# Tool calls? Execute them and loop
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if choice.message.tool_calls:
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messages.append(choice.message.model_dump(exclude_none=True))
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for tc in choice.message.tool_calls:
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fn_name = tc.function.name
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fn_args = json.loads(tc.function.arguments)
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tr = await execute_tool(agent.skills, fn_name, fn_args)
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result = tr.content if tr else f"Tool '{fn_name}' is not available right now."
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messages.append({
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"role": "tool",
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"tool_call_id": tc.id,
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"content": result,
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})
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continue
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# Final text answer — stream it
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if choice.finish_reason == "stop" and choice.message.content:
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# Already have a non-streaming answer — yield it token-by-token
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for token in choice.message.content:
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yield token
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await asyncio.sleep(0)
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return
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# Last resort: stream the final response
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def _sync_stream():
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stream = client.chat.completions.create(
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model="deepseek-chat",
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messages=messages,
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stream=True,
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)
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for chunk in stream:
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delta = chunk.choices[0].delta
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if delta and delta.content:
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yield delta.content
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gen = _sync_stream()
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while True:
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token = await loop.run_in_executor(None, next, gen, None)
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if token is None:
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return
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yield token
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yield "…"
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async def run_agent_stream(
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client: OpenAI,
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message: str,
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session_id: str | None = None,
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agent_id: str | None = None,
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model: str | None = None,
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):
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"""Async generator — yields tokens using the chosen agent's system prompt."""
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"""Async generator — yields tokens. Uses tool-loop when skills have tools."""
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agent = _resolve_agent(agent_id, model)
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tools = get_all_tools(agent.skills)
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if tools:
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async for token in _stream_with_tools(client, message, agent_id, model):
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yield token
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return
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# No tools — simple streaming
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system_prompt = agent.build_system_prompt()
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loop = asyncio.get_running_loop()
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@@ -111,7 +267,7 @@ async def chat(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
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"""Streaming chat endpoint — returns Server-Sent Events."""
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async def event_stream():
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async for token in run_agent_stream(
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client, req.message, req.session_id, req.agent_id,
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client, req.message, req.agent_id,
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):
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payload = json.dumps({"token": token, "session_id": req.session_id})
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yield f"data: {payload}\n\n"
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@@ -130,9 +286,18 @@ async def chat(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
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@router.post("/chat/sync")
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def chat_sync(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
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"""Non-streaming fallback — returns the full response at once."""
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response = run_agent(client, req.message, req.session_id, req.agent_id)
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async def chat_sync(req: ChatRequest, client: OpenAI = Depends(get_llm_client)):
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"""Non-streaming endpoint — uses tool-calling when the agent has tools."""
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agent = _resolve_agent(req.agent_id)
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tools = get_all_tools(agent.skills)
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if tools:
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response = await run_agent_with_tools(
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client, req.message, req.agent_id,
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)
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else:
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response = run_agent_simple(client, req.message, req.agent_id)
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return {"response": response, "session_id": req.session_id}
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@@ -174,11 +339,9 @@ async def chat_completions(
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client: OpenAI = Depends(get_llm_client),
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):
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"""OpenAI-compatible /chat/completions — supports stream=True.
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The last message's content is used as the user prompt; defaults to 'naked' agent.
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Resolves the agent from the model field (OpenWebUI sends this).
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"""
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user_message = req.messages[-1]["content"]
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# Resolve agent from the model field (OpenWebUI sends this)
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agent = _resolve_agent(model=req.model)
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if req.stream:
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@@ -219,9 +382,13 @@ async def chat_completions(
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},
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)
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# Non-streaming path — resolve agent from model field
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agent = _resolve_agent(model=req.model)
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response = run_agent(client, user_message, agent_id=agent.agent_id)
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# Non-streaming path
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tools = get_all_tools(agent.skills)
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if tools:
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response = await run_agent_with_tools(client, user_message, agent_id=agent.agent_id)
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else:
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response = run_agent_simple(client, user_message, agent_id=agent.agent_id)
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return {
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"id": "chatcmpl-local",
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"object": "chat.completion",
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+25
-1
@@ -2,6 +2,30 @@ from dotenv import load_dotenv
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from pathlib import Path
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import os
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load_dotenv(Path(__file__).resolve().parent.parent / ".env")
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# ---------------------------------------------------------------------------
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# Load .env from the project root (one level above core/)
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# ---------------------------------------------------------------------------
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_env_path = Path(__file__).resolve().parent.parent / ".env"
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load_dotenv(_env_path)
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# ---------------------------------------------------------------------------
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# General-purpose config accessor — every skill uses this
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# ---------------------------------------------------------------------------
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def get_config(key: str, default: str | None = None) -> str | None:
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"""Read a value from the environment (loaded from .env)."""
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return os.getenv(key, default)
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# ---------------------------------------------------------------------------
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# LLM
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# ---------------------------------------------------------------------------
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DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
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# ---------------------------------------------------------------------------
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# Seerr (Overseerr / Jellyseerr)
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# ---------------------------------------------------------------------------
|
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SEERR_URL = os.getenv("SEERR_URL", "")
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SEERR_API_KEY = os.getenv("SEERR_API_KEY", "")
|
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SEERR_TIMEOUT = int(os.getenv("SEERR_TIMEOUT", "30"))
|
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@@ -1,3 +1,5 @@
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import logging
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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@@ -5,6 +7,15 @@ from api.v1.chat import router as v1_router
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from core.config import DEEPSEEK_API_KEY
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from core.llm import create_client
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# ---------------------------------------------------------------------------
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# Logging — tool calls will appear in the uvicorn console
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# ---------------------------------------------------------------------------
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(name)s] %(levelname)s: %(message)s",
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datefmt="%H:%M:%S",
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)
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# ---------------------------------------------------------------------------
|
||||
# Load all agents & skills so they self-register at startup
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -2,3 +2,4 @@ fastapi
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openai
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uvicorn
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python-dotenv
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httpx
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||||
+80
-1
@@ -6,10 +6,38 @@ A Skill is a lightweight object with:
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||||
- 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)
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||||
- execute : async callable to run a tool → ToolResult
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||||
"""
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||||
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from dataclasses import dataclass, field
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||||
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
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||||
class ToolResult:
|
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"""Result of executing a tool.
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||||
- success: True if the API returned 2xx and the action completed.
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||||
- content: The message to feed back to the LLM (will be shown to the user).
|
||||
"""
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||||
content: str
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success: bool = True
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||||
|
||||
@classmethod
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||||
def ok(cls, content: str) -> "ToolResult":
|
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return cls(content=content, success=True)
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||||
|
||||
@classmethod
|
||||
def fail(cls, content: str) -> "ToolResult":
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||||
return cls(content=content, success=False)
|
||||
|
||||
|
||||
# Type alias for a tool executor
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||||
ToolExecutor = Callable[[str, dict], Awaitable[ToolResult]]
|
||||
|
||||
|
||||
@dataclass
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||||
@@ -17,6 +45,8 @@ class Skill:
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||||
name: str
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||||
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:
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||||
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
@@ -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
@@ -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)
|
||||
@@ -0,0 +1,51 @@
|
||||
"""
|
||||
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)
|
||||
Reference in New Issue
Block a user