Rebuild & Deploy / rebuild (push) Successful in 3m18s
- Point the agent at OpenWebUI's OpenAI-compatible API (LLM_BASE_URL,
LLM_API_KEY, LLM_MODEL) with GEMMA_* env fallbacks
- Add list_available_models() fetching {base_url}/models, filtering
non-chat ids (embedding/reranker)
- Rename GemmaLLM -> HopeLLM with update_options(model=...) for runtime
model switching (mutates _opts.model) and instance-based compaction
- Data channel: agent publishes {type: models} after connect and on
get_models; set_model switches live and acks model_changed
- Web UI: Brain section in the settings sheet with a model picker that
persists the choice in localStorage
- Update tests, CI workflow env, and docs for the new endpoint
196 lines
6.8 KiB
Python
196 lines
6.8 KiB
Python
"""Shared fixtures for the Hope voice-assistant test suite.
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Tests run on the HOST machine against the live "voice" container:
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- HTTPS web UI -> https://localhost:9178 (self-signed cert, verify=False)
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- Token server -> http://127.0.0.1:8091 (host network mode)
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- LLM API -> LLM_BASE_URL (default http://192.168.86.2:3005/api)
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- In-container -> docker exec voice ...
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"""
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import json
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import os
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import subprocess
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from pathlib import Path
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import httpx
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import pytest
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CONTAINER = "voice"
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WEB_BASE_URL = os.environ.get("VOICE_WEB_URL", "https://localhost:9178")
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TOKEN_URL = os.environ.get("VOICE_TOKEN_URL", "http://127.0.0.1:8091/token")
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LLM_BASE_URL = (
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os.environ.get("LLM_BASE_URL")
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or os.environ.get("GEMMA_BASE_URL")
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or "http://192.168.86.2:3005/api"
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).rstrip("/")
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LLM_MODEL = (
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os.environ.get("LLM_MODEL")
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or os.environ.get("GEMMA_MODEL")
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or "gemma-4-e4b"
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)
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LLM_API_KEY = (
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os.environ.get("LLM_API_KEY")
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or os.environ.get("GEMMA_API_KEY")
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or "not-needed"
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)
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_users = json.loads((Path(__file__).parents[1] / "config" / "users.json").read_text())
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_shane_memory = _users["users"]["shane"]["memory"]
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MEMORY_MCP_URL = os.environ.get("MEMORY_MCP_URL", _shane_memory["url"])
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MEMORY_MCP_TOKEN = os.environ.get("MEMORY_MCP_TOKEN", _shane_memory["api_key"])
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# Path to the agent's venv python inside the container (has mcp, livekit.agents)
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CONTAINER_PYTHON = "/opt/voice-agent/.venv/bin/python"
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AGENT_DIR_IN_CONTAINER = "/opt/voice-agent"
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def pytest_configure(config):
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config.addinivalue_line("markers", "slow: marks tests as slow (LLM / network calls)")
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# ── docker helpers ───────────────────────────────────────────────────────────
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def docker_exec(*args, timeout=60, env=None, check=True) -> subprocess.CompletedProcess:
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"""Run a command inside the voice container. Returns CompletedProcess."""
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cmd = ["docker", "exec"]
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if env:
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for k, v in env.items():
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cmd += ["-e", f"{k}={v}"]
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cmd += [CONTAINER, *args]
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return subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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timeout=timeout,
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check=check,
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)
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def docker_exec_python(
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code: str, *, timeout=120, cwd=None, env=None, check=True
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) -> subprocess.CompletedProcess:
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"""Run a python snippet inside the container with the agent venv."""
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return docker_exec(CONTAINER_PYTHON, "-c", code, timeout=timeout, env=env, check=check)
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# ── fixtures ─────────────────────────────────────────────────────────────────
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@pytest.fixture(scope="session")
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def base_url() -> str:
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"""Base URL of the web UI (HTTPS, self-signed)."""
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return WEB_BASE_URL
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@pytest.fixture(scope="session")
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def client(base_url):
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"""httpx client for the HTTPS web UI with TLS verification disabled."""
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with httpx.Client(base_url=base_url, verify=False, timeout=15) as c:
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yield c
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@pytest.fixture(scope="session")
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def token() -> dict:
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"""Fetch a fresh LiveKit token from the token endpoint (direct, no proxy)."""
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resp = httpx.post(TOKEN_URL, json={}, timeout=10)
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resp.raise_for_status()
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data = resp.json()
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assert "token" in data, f"token endpoint did not return a token: {data.keys()}"
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return data
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@pytest.fixture(scope="session")
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def llm_client():
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"""httpx client pointed at the LLM API (same one Hope uses)."""
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headers = {}
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if LLM_API_KEY and LLM_API_KEY != "not-needed":
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headers["Authorization"] = f"Bearer {LLM_API_KEY}"
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with httpx.Client(base_url=LLM_BASE_URL, headers=headers, timeout=60) as c:
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yield c
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@pytest.fixture(scope="session")
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def mcp_client_factory():
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"""Factory that runs an MCP stdio tool call inside the container.
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Returns (result_text, is_error). Spawns the MCP server script via the
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agent venv python and drives it with a raw JSON-RPC session using the
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mcp client library (available in the container, not on the host).
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"""
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def _call(script: str, tool_name: str, args: dict | None = None, env: dict | None = None) -> tuple[str, bool]:
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import os as host_os
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merged_env = {**host_os.environ, **(env or {})}
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code = f"""
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import asyncio, json
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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async def main():
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params = StdioServerParameters(
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command={CONTAINER_PYTHON!r},
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args=[{AGENT_DIR_IN_CONTAINER + "/" + script!r}],
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env={json.dumps(merged_env)},
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)
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async with stdio_client(params) as (read, write):
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async with ClientSession(read, write) as session:
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await session.initialize()
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result = await session.call_tool({tool_name!r}, {json.dumps(args or {})})
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text = ""
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for block in result.content:
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if getattr(block, "type", None) == "text":
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text += block.text
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print(json.dumps({{"text": text, "isError": bool(result.isError)}}))
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asyncio.run(main())
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"""
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proc = docker_exec_python(code, timeout=120, check=False)
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if proc.returncode != 0:
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raise AssertionError(
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f"MCP call {tool_name} failed (rc={proc.returncode}): "
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f"stderr={proc.stderr[-800:]}"
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)
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data = json.loads(proc.stdout.strip().splitlines()[-1])
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return data["text"], data["isError"]
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return _call
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@pytest.fixture(scope="session")
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def memory_client():
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"""Call Shane's authenticated remote memory MCP server."""
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def _call(tool_name: str, args: dict | None = None) -> tuple[str, bool]:
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code = f"""
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import asyncio, json
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from mcp import ClientSession
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from mcp.client.streamable_http import streamablehttp_client
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async def main():
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async with streamablehttp_client(
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{MEMORY_MCP_URL!r},
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headers={{"Authorization": "Bearer " + {MEMORY_MCP_TOKEN!r}}},
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) as (read, write, _):
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async with ClientSession(read, write) as session:
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await session.initialize()
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result = await session.call_tool({tool_name!r}, {json.dumps(args or {})})
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text = ""
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for block in result.content:
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if getattr(block, "type", None) == "text":
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text += block.text
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print(json.dumps({{"text": text, "isError": bool(result.isError)}}))
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asyncio.run(main())
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"""
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proc = docker_exec_python(code, timeout=120, check=False)
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if proc.returncode != 0:
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raise AssertionError(
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f"Memory MCP call {tool_name} failed (rc={proc.returncode}): "
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f"stderr={proc.stderr[-800:]}"
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)
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data = json.loads(proc.stdout.strip().splitlines()[-1])
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return data["text"], data["isError"]
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return _call
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