Add cmd_chat/agent: a headless client that joins a room via SRP, decrypts broadcasts, and answers /ai <question> through a pluggable model provider (ollama default + anthropic + openai-compatible + module:Class). Server and zero-knowledge guarantees unchanged; the agent is just another encrypted client. Also pin the lets-hack demo to a detached worktree of main (default) so running it from dev still demos stable main without touching the working checkout. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
147 lines
4.8 KiB
Python
147 lines
4.8 KiB
Python
"""Model-agnostic provider interface for the hack-house AI agent bridge.
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A Provider turns a system prompt + conversation into a single reply string.
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The bundled adapters speak plain HTTP via ``requests`` (already a dependency),
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so no extra SDKs are required and any backend can be plugged in — including a
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custom one via the ``module:Class`` spec.
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"""
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from __future__ import annotations
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import importlib
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import os
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from dataclasses import dataclass
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from typing import Protocol, runtime_checkable
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import requests
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@dataclass
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class Msg:
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role: str # "system" | "user" | "assistant"
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content: str
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@runtime_checkable
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class Provider(Protocol):
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name: str
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model: str
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def complete(self, system: str, messages: list[Msg]) -> str:
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...
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class OllamaProvider:
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"""Local Ollama (default, recommended). No API key — privacy-preserving."""
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name = "ollama"
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def __init__(self, model: str = "llama3", host: str | None = None, timeout: int = 120):
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self.model = model
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self.host = (host or os.environ.get("OLLAMA_HOST", "http://localhost:11434")).rstrip("/")
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self.timeout = timeout
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def complete(self, system: str, messages: list[Msg]) -> str:
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payload = {
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"model": self.model,
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"stream": False,
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"messages": [{"role": "system", "content": system}]
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+ [{"role": m.role, "content": m.content} for m in messages],
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}
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r = requests.post(f"{self.host}/api/chat", json=payload, timeout=self.timeout)
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r.raise_for_status()
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return (r.json().get("message", {}).get("content") or "").strip()
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class AnthropicProvider:
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"""Anthropic Messages API. Cloud — opt-in. Needs ANTHROPIC_API_KEY."""
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name = "anthropic"
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def __init__(self, model: str = "claude-opus-4-6", api_key: str | None = None,
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timeout: int = 120, max_tokens: int = 1024):
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self.model = model
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self.api_key = api_key or os.environ.get("ANTHROPIC_API_KEY")
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self.timeout = timeout
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self.max_tokens = max_tokens
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if not self.api_key:
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raise ValueError("ANTHROPIC_API_KEY not set")
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def complete(self, system: str, messages: list[Msg]) -> str:
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payload = {
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"model": self.model,
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"max_tokens": self.max_tokens,
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"system": system,
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"messages": [
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{"role": m.role, "content": m.content}
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for m in messages
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if m.role in ("user", "assistant")
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],
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}
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r = requests.post(
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"https://api.anthropic.com/v1/messages",
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json=payload,
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timeout=self.timeout,
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headers={
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"x-api-key": self.api_key,
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"anthropic-version": "2023-06-01",
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"content-type": "application/json",
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},
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)
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r.raise_for_status()
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blocks = r.json().get("content", [])
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return "".join(b.get("text", "") for b in blocks).strip()
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class OpenAICompatibleProvider:
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"""OpenAI-style /chat/completions — OpenAI, Groq, Together, local vLLM, etc."""
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name = "openai"
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def __init__(self, model: str = "gpt-4o-mini", api_key: str | None = None,
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base_url: str | None = None, timeout: int = 120):
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self.model = model
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self.api_key = api_key or os.environ.get("OPENAI_API_KEY", "")
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self.base_url = (base_url or os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1")).rstrip("/")
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self.timeout = timeout
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def complete(self, system: str, messages: list[Msg]) -> str:
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payload = {
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"model": self.model,
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"messages": [{"role": "system", "content": system}]
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+ [{"role": m.role, "content": m.content} for m in messages],
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}
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headers = {"content-type": "application/json"}
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if self.api_key:
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headers["authorization"] = f"Bearer {self.api_key}"
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r = requests.post(
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f"{self.base_url}/chat/completions", json=payload, headers=headers, timeout=self.timeout
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)
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r.raise_for_status()
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return r.json()["choices"][0]["message"]["content"].strip()
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_BUILTINS = {
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"ollama": OllamaProvider,
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"anthropic": AnthropicProvider,
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"openai": OpenAICompatibleProvider,
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}
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def make_provider(spec: str, model: str | None = None, **opts) -> Provider:
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"""Build a provider.
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``spec`` is a builtin name (``ollama`` / ``anthropic`` / ``openai``) or a
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``module:Class`` path to a custom Provider implementation.
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"""
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if ":" in spec:
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mod_name, _, cls_name = spec.partition(":")
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cls = getattr(importlib.import_module(mod_name), cls_name)
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else:
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cls = _BUILTINS.get(spec)
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if cls is None:
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raise ValueError(f"unknown provider '{spec}' (builtins: {', '.join(_BUILTINS)})")
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if model is not None:
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opts["model"] = model
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return cls(**opts)
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