Files
OpenJarvis/tests/engine/test_ollama.py
T
6dbe5461bb fix(engine): drop Qwen3 control-token tool calls from Ollama responses (#578)
Qwen3 treats /think and /no_think as soft-switch control tokens. On small
models a multi-line prompt makes the model emit one as the sole tool argument
(e.g. {"command": "/no_think"}); OpenJarvis forwards Ollama's native tool_calls
verbatim, so the operative agent executes garbage. Filter control-token-only
tool calls in both the non-streaming generate() and streaming _run_stream()
paths, keeping legitimate calls like {"command": "date"}.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-22 11:40:25 -07:00

278 lines
9.9 KiB
Python

"""Tests for the Ollama engine backend."""
from __future__ import annotations
import json
import httpx
import pytest
import respx
from openjarvis.core.registry import EngineRegistry
from openjarvis.core.types import Message, Role
from openjarvis.engine._base import EngineConnectionError
from openjarvis.engine.ollama import OllamaEngine, _is_control_token_only_args
@pytest.fixture()
def engine() -> OllamaEngine:
EngineRegistry.register_value("ollama", OllamaEngine)
return OllamaEngine(host="http://testhost:11434")
class TestOllamaGenerate:
def test_generate_returns_content(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(
200,
json={
"message": {"role": "assistant", "content": "Hello!"},
"model": "qwen3:8b",
"prompt_eval_count": 10,
"eval_count": 5,
},
)
)
result = engine.generate(
[Message(role=Role.USER, content="Hi")], model="qwen3:8b"
)
assert result["content"] == "Hello!"
assert result["usage"]["prompt_tokens"] == 10
assert result["usage"]["completion_tokens"] == 5
assert result["usage"]["total_tokens"] == 15
def test_generate_connection_error(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
side_effect=httpx.ConnectError("refused")
)
with pytest.raises(EngineConnectionError):
engine.generate(
[Message(role=Role.USER, content="Hi")], model="qwen3:8b"
)
class TestOllamaListModels:
def test_list_models(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.get("http://testhost:11434/api/tags").mock(
return_value=httpx.Response(
200,
json={"models": [{"name": "qwen3:8b"}, {"name": "llama3.2:3b"}]},
)
)
models = engine.list_models()
assert models == ["qwen3:8b", "llama3.2:3b"]
class TestOllamaHealth:
def test_health_true(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.get("http://testhost:11434/api/tags").mock(
return_value=httpx.Response(200, json={"models": []})
)
assert engine.health() is True
def test_health_false(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.get("http://testhost:11434/api/tags").mock(
side_effect=httpx.ConnectError("refused")
)
assert engine.health() is False
class TestControlTokenFilter:
"""Qwen3 ``/think`` / ``/no_think`` soft-switch tokens sometimes leak into
tool-call arguments on small models (e.g. ``{"command": "/no_think"}``).
Such a call is never valid and must be dropped before execution.
"""
@pytest.mark.parametrize(
"raw_args",
[
{"command": "/no_think"},
{"command": "/think"},
{"command": " /no_think "},
{"command": "/NO_THINK"},
"/no_think",
json.dumps({"command": "/no_think"}),
{"command": "/no_think", "note": ""},
],
)
def test_detects_control_token_only(self, raw_args) -> None:
assert _is_control_token_only_args(raw_args) is True
@pytest.mark.parametrize(
"raw_args",
[
{"command": "date"},
{"command": "echo /no_think"},
{"query": "what is /no_think"},
{"command": "date", "note": "/no_think"},
{"timeout": 30},
{},
"date",
"not json at all",
],
)
def test_keeps_legitimate_args(self, raw_args) -> None:
assert _is_control_token_only_args(raw_args) is False
class TestOllamaGenerateControlToken:
def test_generate_drops_control_token_tool_call(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(
200,
json={
"message": {
"role": "assistant",
"content": "",
"tool_calls": [
{
"function": {
"name": "shell_exec",
"arguments": {"command": "/no_think"},
}
}
],
},
"model": "qwen3:14b",
},
)
)
result = engine.generate(
[Message(role=Role.USER, content="run date")],
model="qwen3:14b",
tools=[{"type": "function", "function": {"name": "shell_exec"}}],
)
assert not result.get("tool_calls")
def test_generate_keeps_valid_tool_call(self, engine: OllamaEngine) -> None:
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(
200,
json={
"message": {
"role": "assistant",
"content": "",
"tool_calls": [
{
"function": {
"name": "shell_exec",
"arguments": {"command": "date"},
}
}
],
},
"model": "qwen3:14b",
},
)
)
result = engine.generate(
[Message(role=Role.USER, content="run date")],
model="qwen3:14b",
tools=[{"type": "function", "function": {"name": "shell_exec"}}],
)
assert len(result["tool_calls"]) == 1
assert json.loads(result["tool_calls"][0]["arguments"]) == {"command": "date"}
def test_generate_drops_only_control_token_among_many(
self, engine: OllamaEngine
) -> None:
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(
200,
json={
"message": {
"role": "assistant",
"content": "",
"tool_calls": [
{
"function": {
"name": "shell_exec",
"arguments": {"command": "/no_think"},
}
},
{
"function": {
"name": "shell_exec",
"arguments": {"command": "date"},
}
},
],
},
"model": "qwen3:14b",
},
)
)
result = engine.generate(
[Message(role=Role.USER, content="run date")],
model="qwen3:14b",
tools=[{"type": "function", "function": {"name": "shell_exec"}}],
)
assert len(result["tool_calls"]) == 1
assert json.loads(result["tool_calls"][0]["arguments"]) == {"command": "date"}
class TestOllamaStreamFullControlToken:
@pytest.mark.asyncio
async def test_stream_full_drops_control_token_tool_call(
self, engine: OllamaEngine
) -> None:
lines = [
json.dumps(
{
"message": {
"content": "",
"tool_calls": [
{
"function": {
"name": "shell_exec",
"arguments": {"command": "/no_think"},
}
}
],
},
"done": True,
}
),
]
body = "\n".join(lines)
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(200, text=body)
)
chunks = []
async for chunk in engine.stream_full(
[Message(role=Role.USER, content="run date")],
model="qwen3:14b",
tools=[{"type": "function", "function": {"name": "shell_exec"}}],
):
chunks.append(chunk)
assert all(not c.tool_calls for c in chunks)
class TestOllamaStream:
@pytest.mark.asyncio
async def test_stream_yields_content(self, engine: OllamaEngine) -> None:
lines = [
json.dumps({"message": {"content": "Hello"}, "done": False}),
json.dumps({"message": {"content": " world"}, "done": True}),
]
body = "\n".join(lines)
with respx.mock:
respx.post("http://testhost:11434/api/chat").mock(
return_value=httpx.Response(200, text=body)
)
tokens = []
async for tok in engine.stream(
[Message(role=Role.USER, content="Hi")], model="qwen3:8b"
):
tokens.append(tok)
assert "Hello" in tokens