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nisse/nisse-core/tests/test_llm.py
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dongarandClaude Opus 5.5 154a0c3fa8
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M7.1: extract nisse-core
What isn't the dev agent's moves to nisse-core, unchanged in behaviour,
with its tests: canonical, render, render_anthropic, llm, catalog, probe,
context, views, state, reconcile, worker, cancel, dump, transport, matrix,
execution, testing, vault, memory, oplog, envfile and gitea (whole).

- nisse_core.state.StateStore holds the tables every agent has; an
  agent's subclass adds its tables (version, migrations), roles and
  views. nisse_dev.state.StateStore adds the build VM blocks (v5).
- views.project takes what each role is shown, rather than a fixed table.
- Vault takes the agent's name (agent=), for provenance.
- A test that nisse_core never imports an agent.
- The loop, config, git, delegation, expert, tools and evals stay in
  nisse-dev until nisse-ops has a loop to share.

Docs: the Development Plan marks M7.1 done and notes that Phase 6 waits on
the agent host and Terraform; Architecture Part L names the package.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
2026-10-13 18:37:01 +00:00

517 lines
18 KiB
Python

import json
from pathlib import Path
from typing import Any
import httpx
import pytest
from nisse_core.canonical import (
AssistantText,
StoredEvent,
ToolCall,
UserMessage,
)
from nisse_core.envfile import load_env_file
from nisse_core.llm import (
DEFAULT_MAX_OUTPUT_TOKENS,
OUTAGE_BACKOFF_S,
RATE_LIMIT_RETRY_S,
AnthropicPassthroughClient,
BudgetExhausted,
LiteLLMClient,
LLMError,
RoleMap,
TruncatedResponse,
UpstreamUnavailable,
)
EVENTS = [StoredEvent(id=1, ts="t", event=UserMessage(text="hi", source="m:1"))]
def make_client(handler, sleep=lambda _s: None) -> LiteLLMClient:
return LiteLLMClient(
"http://litellm.test/v1",
"sk-test",
transport=httpx.MockTransport(handler),
sleep=sleep, # never wait in unit tests
)
def completion(message: dict) -> httpx.Response:
return httpx.Response(
200, json={"model": "gpt-test-1", "choices": [{"message": message}]}
)
def test_request_shape_and_auth() -> None:
seen: dict = {}
def handler(request: httpx.Request) -> httpx.Response:
seen["url"] = str(request.url)
seen["auth"] = request.headers.get("authorization")
seen["body"] = json.loads(request.content)
return completion({"content": "hello"})
make_client(handler).complete(EVENTS, tools=None, model="local/qwen", system="s")
assert seen["url"] == "http://litellm.test/v1/chat/completions"
assert seen["auth"] == "Bearer sk-test"
assert seen["body"]["model"] == "local/qwen"
assert seen["body"]["messages"][0] == {"role": "system", "content": "s"}
assert seen["body"]["messages"][1] == {"role": "user", "content": "hi"}
def test_assistant_text_parsed_with_producing_model() -> None:
client = make_client(lambda request: completion({"content": "hello"}))
[event] = client.complete(EVENTS, tools=None, model="local/qwen")
assert event == AssistantText(text="hello", model="gpt-test-1")
def test_tool_calls_get_locally_minted_canonical_ids() -> None:
message = {
"content": None,
"tool_calls": [
{
"id": "call_provider_abc",
"type": "function",
"function": {
"name": "run_tests",
"arguments": '{"path": "tests/"}',
},
}
],
}
client = make_client(lambda request: completion(message))
[event] = client.complete(EVENTS, tools=None, model="local/qwen")
assert isinstance(event, ToolCall)
assert event.tool == "run_tests"
assert event.arguments == {"path": "tests/"}
assert event.call_id != "call_provider_abc" # provider ID never a join key
assert event.call_id.startswith("call-")
def test_truncated_tool_arguments_raise_llm_error() -> None:
message = {
"content": None,
"tool_calls": [
{
"id": "c",
"type": "function",
"function": {"name": "submit_plan", "arguments": '{"content": "'},
}
],
}
client = make_client(lambda request: completion(message))
with pytest.raises(LLMError, match="non-JSON arguments"):
client.complete(EVENTS, tools=None, model="local/qwen")
def test_non_object_tool_arguments_raise_llm_error() -> None:
message = {
"content": None,
"tool_calls": [
{
"id": "c",
"type": "function",
"function": {"name": "submit_plan", "arguments": '"just a string"'},
}
],
}
client = make_client(lambda request: completion(message))
with pytest.raises(LLMError, match="expected object"):
client.complete(EVENTS, tools=None, model="local/qwen")
def test_http_error_status_raises_llm_error() -> None:
client = make_client(lambda request: httpx.Response(500, text="boom"))
with pytest.raises(LLMError, match="500"):
client.complete(EVENTS, tools=None, model="local/qwen")
def test_rate_limit_is_retried_once_then_surfaced() -> None:
# A 429 is transient. Losing a long delegation to one costs far more
# than waiting out the window, but retrying forever would hide a real
# ceiling, so it is retried exactly once.
attempts: list[int] = []
waited: list[float] = []
def handler(request: httpx.Request) -> httpx.Response:
attempts.append(1)
return httpx.Response(429, text="rate limited")
client = make_client(handler, sleep=waited.append)
with pytest.raises(LLMError, match="429"):
client.complete(EVENTS, tools=None, model="local/qwen")
assert len(attempts) == 2
assert waited == [RATE_LIMIT_RETRY_S]
# Reported even though the call failed, so a caller can leave the wait
# out of how long the model took.
assert client.last_rate_limit_wait_s == RATE_LIMIT_RETRY_S
def test_rate_limit_that_clears_succeeds() -> None:
responses = [httpx.Response(429, text="slow down"), completion({"content": "hi"})]
client = make_client(lambda request: responses.pop(0), sleep=lambda _s: None)
[event] = client.complete(EVENTS, tools=None, model="local/qwen")
assert isinstance(event, AssistantText)
assert client.last_rate_limit_wait_s == RATE_LIMIT_RETRY_S
def test_the_rate_limit_wait_is_per_call() -> None:
responses = [
httpx.Response(429, text="slow down"),
completion({"content": "one"}),
completion({"content": "two"}),
]
client = make_client(lambda request: responses.pop(0), sleep=lambda _s: None)
client.complete(EVENTS, tools=None, model="local/qwen")
client.complete(EVENTS, tools=None, model="local/qwen")
assert client.last_rate_limit_wait_s == 0.0
def test_connection_failure_raises_llm_error() -> None:
def handler(request: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("refused")
with pytest.raises(LLMError, match="request failed"):
make_client(handler).complete(EVENTS, tools=None, model="local/qwen")
def test_malformed_response_raises_llm_error() -> None:
client = make_client(lambda request: httpx.Response(200, json={"oops": True}))
with pytest.raises(LLMError, match="malformed"):
client.complete(EVENTS, tools=None, model="local/qwen")
ROLES = RoleMap(
driver="local/qwen",
helper="anthropic/claude-sonnet-5",
expert="anthropic/claude-opus-5",
)
def test_role_map_resolves_and_pins() -> None:
roles = ROLES
assert roles.resolve("driver") == "local/qwen"
assert roles.pinned() == {
"driver": "local/qwen",
"helper": "anthropic/claude-sonnet-5",
"expert": "anthropic/claude-opus-5",
# Unset, the classifier falls back to the expert's model (L9).
"classifier": "anthropic/claude-opus-5",
}
def test_a_pinned_map_from_before_the_driver_reads_its_own_roles() -> None:
# Pinned before M2.8: the old loop's roles are there, and are ignored.
old = {"planner": "p", "executor": "e", "driver": "d", "helper": "h"}
roles = RoleMap.from_pinned(old, ROLES)
assert (roles.driver, roles.helper, roles.expert) == ("d", "h", ROLES.expert)
def test_unknown_role_raises() -> None:
with pytest.raises(LLMError, match="unknown role"):
ROLES.resolve("boss")
def test_load_env_file(tmp_path: Path) -> None:
envfile = tmp_path / ".env"
envfile.write_text(
"# comment\n\nNISSE_LLM_TOKEN=sk-abc\nNISSE_LLM_BASE_URL = http://x \n"
)
env: dict[str, str] = {"NISSE_LLM_TOKEN": "sk-already-set"}
load_env_file(envfile, env)
assert env["NISSE_LLM_TOKEN"] == "sk-already-set" # real env wins
assert env["NISSE_LLM_BASE_URL"] == "http://x"
def test_load_env_file_missing_is_noop(tmp_path: Path) -> None:
env: dict[str, str] = {}
load_env_file(tmp_path / "nope.env", env)
assert env == {}
# --- truncation (silent until measured against Opus) ---------------------
def test_openai_route_raises_on_truncation() -> None:
# finish_reason "length" means the answer was cut off; parsing it as
# complete yields a tool call with required arguments simply absent.
truncated = httpx.Response(
200,
json={
"model": "gpt-test-1",
"choices": [
{
"finish_reason": "length",
"message": {
"content": None,
"tool_calls": [
{
"id": "c",
"type": "function",
"function": {
"name": "submit_plan",
"arguments": '{"type": "arch"}',
},
}
],
},
}
],
},
)
client = make_client(lambda request: truncated)
with pytest.raises(TruncatedResponse, match="output limit"):
client.complete(EVENTS, tools=None, model="gpt-6-astra")
def test_anthropic_route_raises_on_truncation() -> None:
# Observed for real: Opus spent 4,064 output tokens against a 4,096
# ceiling, and a longer plan came back as submit_plan with no content.
def handler(request: httpx.Request) -> httpx.Response:
return httpx.Response(
200,
json={
"model": "claude-opus-5",
"stop_reason": "max_tokens",
"content": [
{
"type": "tool_use",
"id": "t",
"name": "submit_plan",
"input": {"type": "arch"},
}
],
},
)
client = AnthropicPassthroughClient(
"https://litellm.test",
"tok",
transport=httpx.MockTransport(handler),
sleep=lambda _s: None,
)
with pytest.raises(TruncatedResponse, match="output limit"):
client.complete(EVENTS, tools=None, model="claude-opus-5")
def test_a_complete_answer_is_not_mistaken_for_truncation() -> None:
def handler(request: httpx.Request) -> httpx.Response:
return httpx.Response(
200,
json={
"model": "claude-opus-5",
"stop_reason": "tool_use",
"content": [
{
"type": "tool_use",
"id": "t",
"name": "submit_plan",
"input": {"type": "arch", "content": "a real plan"},
}
],
},
)
client = AnthropicPassthroughClient(
"https://litellm.test", "tok", transport=httpx.MockTransport(handler)
)
[call] = client.complete(EVENTS, tools=None, model="claude-opus-5")
assert call.arguments["content"] == "a real plan"
def test_output_ceiling_is_generous_by_default() -> None:
# Output is billed by what is produced, so a low ceiling buys nothing and
# costs silent truncation. The configured value is tested in test_config.
assert DEFAULT_MAX_OUTPUT_TOKENS >= 8192
assert LiteLLMClient("http://x", "t")._max_tokens == DEFAULT_MAX_OUTPUT_TOKENS
def test_truncation_is_an_llm_error_so_callers_already_handle_it() -> None:
# The planner retries, the executor and delegation gate. None of them
# need to learn a new exception type.
assert issubclass(TruncatedResponse, LLMError)
def test_a_5xx_is_upstream_trouble() -> None:
client = make_client(lambda request: httpx.Response(503, text="bad gateway"))
with pytest.raises(UpstreamUnavailable, match="503"):
client.complete(EVENTS, tools=None, model="local-fast")
def test_a_connection_failure_is_upstream_trouble() -> None:
def handler(request: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("refused")
with pytest.raises(UpstreamUnavailable, match="request failed"):
make_client(handler).complete(EVENTS, tools=None, model="local-fast")
def test_a_persistent_rate_limit_is_upstream_trouble() -> None:
# It cleared for neither attempt, so the caller should keep its work
# rather than discard it.
client = make_client(lambda request: httpx.Response(429, text="slow down"))
with pytest.raises(UpstreamUnavailable):
client.complete(EVENTS, tools=None, model="local-fast")
def test_a_bad_request_is_not_upstream_trouble() -> None:
client = make_client(lambda request: httpx.Response(400, text="bad schema"))
with pytest.raises(LLMError) as excinfo:
client.complete(EVENTS, tools=None, model="local-fast")
assert not isinstance(excinfo.value, UpstreamUnavailable)
def test_budget_refusal_is_a_kind_of_upstream_trouble() -> None:
# So one catch covers the family, but it can still be told apart where
# the difference matters — it will not clear within the hour.
assert issubclass(BudgetExhausted, UpstreamUnavailable)
# --- tool_choice (L9: constrained decoding) --------------------------------
TOOLS = [
{
"type": "function",
"function": {
"name": "finish",
"description": "done",
"parameters": {"type": "object", "properties": {}},
},
}
]
def capture_bodies() -> tuple[list[dict], Any]:
bodies: list[dict] = []
def handler(request: httpx.Request) -> httpx.Response:
bodies.append(json.loads(request.content))
return completion({"role": "assistant", "content": "ok"})
return bodies, handler
def test_required_is_sent_only_when_asked_and_tools_are_offered() -> None:
bodies, handler = capture_bodies()
client = make_client(handler)
client.complete(EVENTS, tools=TOOLS, model="m", require_tool_call=True)
client.complete(EVENTS, tools=TOOLS, model="m")
client.complete(EVENTS, tools=None, model="m", require_tool_call=True)
assert bodies[0]["tool_choice"] == "required"
assert "tool_choice" not in bodies[1] # the server's default, auto
assert "tool_choice" not in bodies[2] # nothing to choose from
def test_the_passthrough_asks_in_anthropics_terms() -> None:
bodies: list[dict] = []
def handler(request: httpx.Request) -> httpx.Response:
bodies.append(json.loads(request.content))
return httpx.Response(
200,
json={
"model": "claude-haiku-4-5",
"stop_reason": "tool_use",
"content": [
{"type": "tool_use", "id": "t", "name": "finish", "input": {}}
],
},
)
client = AnthropicPassthroughClient(
"https://litellm.test", "tok", transport=httpx.MockTransport(handler)
)
client.complete(
EVENTS, tools=TOOLS, model="claude-haiku-4-5", require_tool_call=True
)
assert bodies[0]["tool_choice"] == {"type": "any"}
def test_the_answering_model_is_recorded() -> None:
# A proxy fallback answers under another model's name; this is how a
# caller can tell.
client = make_client(
lambda request: completion({"role": "assistant", "content": "hi"})
)
client.complete(EVENTS, tools=None, model="local-fast")
assert client.last_model == "gpt-test-1"
# --- outages delay, never fail (L5) --------------------------------------------
def test_a_gateway_error_is_waited_out_with_backoff() -> None:
responses = [
httpx.Response(502, text="bad gateway"),
httpx.Response(503, text="unavailable"),
completion({"content": "back"}),
]
waited: list[float] = []
client = make_client(lambda request: responses.pop(0), sleep=waited.append)
[event] = client.complete(EVENTS, tools=None, model="local/qwen")
assert isinstance(event, AssistantText) and event.text == "back"
assert waited == list(OUTAGE_BACKOFF_S[:2])
# Waiting isn't the model's time.
assert client.last_rate_limit_wait_s == sum(OUTAGE_BACKOFF_S[:2])
def test_an_outage_that_outlasts_the_backoff_is_surfaced() -> None:
attempts: list[int] = []
waited: list[float] = []
def handler(request: httpx.Request) -> httpx.Response:
attempts.append(1)
return httpx.Response(502, text="bad gateway")
client = make_client(handler, sleep=waited.append)
with pytest.raises(UpstreamUnavailable, match="502"):
client.complete(EVENTS, tools=None, model="local/qwen")
assert len(attempts) == len(OUTAGE_BACKOFF_S) + 1
assert waited == list(OUTAGE_BACKOFF_S)
def test_a_dropped_connection_is_retried() -> None:
calls: list[int] = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(1)
if len(calls) == 1:
raise httpx.ConnectError("refused")
return completion({"content": "ok"})
[event] = make_client(handler).complete(EVENTS, tools=None, model="local/qwen")
assert isinstance(event, AssistantText) and len(calls) == 2
def test_a_500_or_a_timeout_is_not_retried() -> None:
# A 500 may be the request's fault; a timeout already had its full
# request_timeout_s.
for failure in (
lambda request: httpx.Response(500, text="boom"),
lambda request: (_ for _ in ()).throw(httpx.ReadTimeout("slow")),
):
calls: list[int] = []
def handler(
request: httpx.Request, failure=failure, calls=calls
) -> httpx.Response:
calls.append(1)
return failure(request)
with pytest.raises(LLMError):
make_client(handler).complete(EVENTS, tools=None, model="local/qwen")
assert len(calls) == 1
def test_a_budget_refusal_is_not_waited_on() -> None:
calls: list[int] = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(1)
return httpx.Response(503, text="Budget has been exceeded! Current cost: 5.1")
with pytest.raises(BudgetExhausted):
make_client(handler).complete(EVENTS, tools=None, model="local/qwen")
assert len(calls) == 1