A pure move; behaviour unchanged. - models (L9, L7): llm, catalog, probe, render, render_anthropic, context - log (L7, L6): canonical, views - state (L8): store (was state), reconcile, worker, cancel, dump - knowledge (L10, L6.4): vault, memory - conversation (L5): transport, matrix - execution (L13): ssh (was execution), testing - authority (P3, P4, L4): actions - gitea, oplog, envfile stay at the top until each gains a second module. Every import, monkeypatch target, script and doc reference rewritten. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
517 lines
18 KiB
Python
517 lines
18 KiB
Python
import json
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from pathlib import Path
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from typing import Any
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import httpx
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import pytest
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from nisse_core.envfile import load_env_file
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from nisse_core.log.canonical import (
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AssistantText,
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StoredEvent,
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ToolCall,
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UserMessage,
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)
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from nisse_core.models.llm import (
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DEFAULT_MAX_OUTPUT_TOKENS,
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OUTAGE_BACKOFF_S,
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RATE_LIMIT_RETRY_S,
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AnthropicPassthroughClient,
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BudgetExhausted,
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LiteLLMClient,
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LLMError,
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RoleMap,
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TruncatedResponse,
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UpstreamUnavailable,
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)
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EVENTS = [StoredEvent(id=1, ts="t", event=UserMessage(text="hi", source="m:1"))]
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def make_client(handler, sleep=lambda _s: None) -> LiteLLMClient:
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return LiteLLMClient(
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"http://litellm.test/v1",
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"sk-test",
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transport=httpx.MockTransport(handler),
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sleep=sleep, # never wait in unit tests
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)
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def completion(message: dict) -> httpx.Response:
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return httpx.Response(
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200, json={"model": "gpt-test-1", "choices": [{"message": message}]}
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)
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def test_request_shape_and_auth() -> None:
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seen: dict = {}
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def handler(request: httpx.Request) -> httpx.Response:
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seen["url"] = str(request.url)
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seen["auth"] = request.headers.get("authorization")
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seen["body"] = json.loads(request.content)
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return completion({"content": "hello"})
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make_client(handler).complete(EVENTS, tools=None, model="local/qwen", system="s")
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assert seen["url"] == "http://litellm.test/v1/chat/completions"
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assert seen["auth"] == "Bearer sk-test"
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assert seen["body"]["model"] == "local/qwen"
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assert seen["body"]["messages"][0] == {"role": "system", "content": "s"}
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assert seen["body"]["messages"][1] == {"role": "user", "content": "hi"}
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def test_assistant_text_parsed_with_producing_model() -> None:
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client = make_client(lambda request: completion({"content": "hello"}))
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[event] = client.complete(EVENTS, tools=None, model="local/qwen")
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assert event == AssistantText(text="hello", model="gpt-test-1")
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def test_tool_calls_get_locally_minted_canonical_ids() -> None:
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message = {
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"content": None,
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"tool_calls": [
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{
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"id": "call_provider_abc",
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"type": "function",
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"function": {
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"name": "run_tests",
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"arguments": '{"path": "tests/"}',
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},
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}
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],
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}
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client = make_client(lambda request: completion(message))
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[event] = client.complete(EVENTS, tools=None, model="local/qwen")
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assert isinstance(event, ToolCall)
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assert event.tool == "run_tests"
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assert event.arguments == {"path": "tests/"}
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assert event.call_id != "call_provider_abc" # provider ID never a join key
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assert event.call_id.startswith("call-")
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def test_truncated_tool_arguments_raise_llm_error() -> None:
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message = {
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"content": None,
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"tool_calls": [
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{
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"id": "c",
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"type": "function",
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"function": {"name": "submit_plan", "arguments": '{"content": "'},
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}
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],
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}
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client = make_client(lambda request: completion(message))
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with pytest.raises(LLMError, match="non-JSON arguments"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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def test_non_object_tool_arguments_raise_llm_error() -> None:
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message = {
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"content": None,
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"tool_calls": [
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{
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"id": "c",
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"type": "function",
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"function": {"name": "submit_plan", "arguments": '"just a string"'},
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}
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],
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}
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client = make_client(lambda request: completion(message))
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with pytest.raises(LLMError, match="expected object"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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def test_http_error_status_raises_llm_error() -> None:
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client = make_client(lambda request: httpx.Response(500, text="boom"))
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with pytest.raises(LLMError, match="500"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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def test_rate_limit_is_retried_once_then_surfaced() -> None:
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# A 429 is transient. Losing a long delegation to one costs far more
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# than waiting out the window, but retrying forever would hide a real
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# ceiling, so it is retried exactly once.
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attempts: list[int] = []
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waited: list[float] = []
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def handler(request: httpx.Request) -> httpx.Response:
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attempts.append(1)
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return httpx.Response(429, text="rate limited")
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client = make_client(handler, sleep=waited.append)
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with pytest.raises(LLMError, match="429"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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assert len(attempts) == 2
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assert waited == [RATE_LIMIT_RETRY_S]
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# Reported even though the call failed, so a caller can leave the wait
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# out of how long the model took.
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assert client.last_rate_limit_wait_s == RATE_LIMIT_RETRY_S
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def test_rate_limit_that_clears_succeeds() -> None:
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responses = [httpx.Response(429, text="slow down"), completion({"content": "hi"})]
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client = make_client(lambda request: responses.pop(0), sleep=lambda _s: None)
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[event] = client.complete(EVENTS, tools=None, model="local/qwen")
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assert isinstance(event, AssistantText)
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assert client.last_rate_limit_wait_s == RATE_LIMIT_RETRY_S
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def test_the_rate_limit_wait_is_per_call() -> None:
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responses = [
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httpx.Response(429, text="slow down"),
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completion({"content": "one"}),
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completion({"content": "two"}),
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]
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client = make_client(lambda request: responses.pop(0), sleep=lambda _s: None)
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client.complete(EVENTS, tools=None, model="local/qwen")
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client.complete(EVENTS, tools=None, model="local/qwen")
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assert client.last_rate_limit_wait_s == 0.0
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def test_connection_failure_raises_llm_error() -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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raise httpx.ConnectError("refused")
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with pytest.raises(LLMError, match="request failed"):
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make_client(handler).complete(EVENTS, tools=None, model="local/qwen")
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def test_malformed_response_raises_llm_error() -> None:
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client = make_client(lambda request: httpx.Response(200, json={"oops": True}))
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with pytest.raises(LLMError, match="malformed"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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ROLES = RoleMap(
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driver="local/qwen",
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helper="anthropic/claude-sonnet-5",
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expert="anthropic/claude-opus-5",
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)
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def test_role_map_resolves_and_pins() -> None:
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roles = ROLES
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assert roles.resolve("driver") == "local/qwen"
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assert roles.pinned() == {
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"driver": "local/qwen",
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"helper": "anthropic/claude-sonnet-5",
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"expert": "anthropic/claude-opus-5",
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# Unset, the classifier falls back to the expert's model (L9).
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"classifier": "anthropic/claude-opus-5",
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}
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def test_a_pinned_map_from_before_the_driver_reads_its_own_roles() -> None:
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# Pinned before M2.8: the old loop's roles are there, and are ignored.
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old = {"planner": "p", "executor": "e", "driver": "d", "helper": "h"}
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roles = RoleMap.from_pinned(old, ROLES)
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assert (roles.driver, roles.helper, roles.expert) == ("d", "h", ROLES.expert)
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def test_unknown_role_raises() -> None:
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with pytest.raises(LLMError, match="unknown role"):
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ROLES.resolve("boss")
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def test_load_env_file(tmp_path: Path) -> None:
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envfile = tmp_path / ".env"
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envfile.write_text(
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"# comment\n\nNISSE_LLM_TOKEN=sk-abc\nNISSE_LLM_BASE_URL = http://x \n"
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)
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env: dict[str, str] = {"NISSE_LLM_TOKEN": "sk-already-set"}
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load_env_file(envfile, env)
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assert env["NISSE_LLM_TOKEN"] == "sk-already-set" # real env wins
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assert env["NISSE_LLM_BASE_URL"] == "http://x"
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def test_load_env_file_missing_is_noop(tmp_path: Path) -> None:
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env: dict[str, str] = {}
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load_env_file(tmp_path / "nope.env", env)
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assert env == {}
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# --- truncation (silent until measured against Opus) ---------------------
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def test_openai_route_raises_on_truncation() -> None:
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# finish_reason "length" means the answer was cut off; parsing it as
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# complete yields a tool call with required arguments simply absent.
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truncated = httpx.Response(
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200,
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json={
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"model": "gpt-test-1",
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"choices": [
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{
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"finish_reason": "length",
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"message": {
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"content": None,
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"tool_calls": [
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{
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"id": "c",
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"type": "function",
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"function": {
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"name": "submit_plan",
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"arguments": '{"type": "arch"}',
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},
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}
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],
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},
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}
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],
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},
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)
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client = make_client(lambda request: truncated)
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with pytest.raises(TruncatedResponse, match="output limit"):
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client.complete(EVENTS, tools=None, model="gpt-6-astra")
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def test_anthropic_route_raises_on_truncation() -> None:
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# Observed for real: Opus spent 4,064 output tokens against a 4,096
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# ceiling, and a longer plan came back as submit_plan with no content.
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def handler(request: httpx.Request) -> httpx.Response:
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return httpx.Response(
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200,
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json={
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"model": "claude-opus-5",
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"stop_reason": "max_tokens",
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"content": [
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{
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"type": "tool_use",
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"id": "t",
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"name": "submit_plan",
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"input": {"type": "arch"},
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}
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],
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},
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)
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client = AnthropicPassthroughClient(
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"https://litellm.test",
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"tok",
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transport=httpx.MockTransport(handler),
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sleep=lambda _s: None,
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)
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with pytest.raises(TruncatedResponse, match="output limit"):
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client.complete(EVENTS, tools=None, model="claude-opus-5")
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def test_a_complete_answer_is_not_mistaken_for_truncation() -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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return httpx.Response(
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200,
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json={
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"model": "claude-opus-5",
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"stop_reason": "tool_use",
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"content": [
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{
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"type": "tool_use",
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"id": "t",
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"name": "submit_plan",
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"input": {"type": "arch", "content": "a real plan"},
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}
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],
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},
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)
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client = AnthropicPassthroughClient(
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"https://litellm.test", "tok", transport=httpx.MockTransport(handler)
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)
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[call] = client.complete(EVENTS, tools=None, model="claude-opus-5")
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assert call.arguments["content"] == "a real plan"
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def test_output_ceiling_is_generous_by_default() -> None:
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# Output is billed by what is produced, so a low ceiling buys nothing and
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# costs silent truncation. The configured value is tested in test_config.
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assert DEFAULT_MAX_OUTPUT_TOKENS >= 8192
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assert LiteLLMClient("http://x", "t")._max_tokens == DEFAULT_MAX_OUTPUT_TOKENS
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def test_truncation_is_an_llm_error_so_callers_already_handle_it() -> None:
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# The planner retries, the executor and delegation gate. None of them
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# need to learn a new exception type.
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assert issubclass(TruncatedResponse, LLMError)
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def test_a_5xx_is_upstream_trouble() -> None:
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client = make_client(lambda request: httpx.Response(503, text="bad gateway"))
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with pytest.raises(UpstreamUnavailable, match="503"):
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client.complete(EVENTS, tools=None, model="local-fast")
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def test_a_connection_failure_is_upstream_trouble() -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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raise httpx.ConnectError("refused")
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with pytest.raises(UpstreamUnavailable, match="request failed"):
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make_client(handler).complete(EVENTS, tools=None, model="local-fast")
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def test_a_persistent_rate_limit_is_upstream_trouble() -> None:
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# It cleared for neither attempt, so the caller should keep its work
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# rather than discard it.
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client = make_client(lambda request: httpx.Response(429, text="slow down"))
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with pytest.raises(UpstreamUnavailable):
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client.complete(EVENTS, tools=None, model="local-fast")
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def test_a_bad_request_is_not_upstream_trouble() -> None:
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client = make_client(lambda request: httpx.Response(400, text="bad schema"))
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with pytest.raises(LLMError) as excinfo:
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client.complete(EVENTS, tools=None, model="local-fast")
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assert not isinstance(excinfo.value, UpstreamUnavailable)
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def test_budget_refusal_is_a_kind_of_upstream_trouble() -> None:
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# So one catch covers the family, but it can still be told apart where
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# the difference matters — it will not clear within the hour.
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assert issubclass(BudgetExhausted, UpstreamUnavailable)
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# --- tool_choice (L9: constrained decoding) --------------------------------
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TOOLS = [
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{
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"type": "function",
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"function": {
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"name": "finish",
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"description": "done",
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"parameters": {"type": "object", "properties": {}},
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},
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}
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]
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def capture_bodies() -> tuple[list[dict], Any]:
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bodies: list[dict] = []
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def handler(request: httpx.Request) -> httpx.Response:
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bodies.append(json.loads(request.content))
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return completion({"role": "assistant", "content": "ok"})
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return bodies, handler
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def test_required_is_sent_only_when_asked_and_tools_are_offered() -> None:
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bodies, handler = capture_bodies()
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client = make_client(handler)
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client.complete(EVENTS, tools=TOOLS, model="m", require_tool_call=True)
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client.complete(EVENTS, tools=TOOLS, model="m")
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client.complete(EVENTS, tools=None, model="m", require_tool_call=True)
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assert bodies[0]["tool_choice"] == "required"
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assert "tool_choice" not in bodies[1] # the server's default, auto
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assert "tool_choice" not in bodies[2] # nothing to choose from
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def test_the_passthrough_asks_in_anthropics_terms() -> None:
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bodies: list[dict] = []
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def handler(request: httpx.Request) -> httpx.Response:
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bodies.append(json.loads(request.content))
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return httpx.Response(
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200,
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json={
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"model": "claude-haiku-4-5",
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"stop_reason": "tool_use",
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"content": [
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{"type": "tool_use", "id": "t", "name": "finish", "input": {}}
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],
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},
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)
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client = AnthropicPassthroughClient(
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"https://litellm.test", "tok", transport=httpx.MockTransport(handler)
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)
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client.complete(
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EVENTS, tools=TOOLS, model="claude-haiku-4-5", require_tool_call=True
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)
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assert bodies[0]["tool_choice"] == {"type": "any"}
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def test_the_answering_model_is_recorded() -> None:
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# A proxy fallback answers under another model's name; this is how a
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# caller can tell.
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client = make_client(
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lambda request: completion({"role": "assistant", "content": "hi"})
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)
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client.complete(EVENTS, tools=None, model="local-fast")
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assert client.last_model == "gpt-test-1"
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# --- outages delay, never fail (L5) --------------------------------------------
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def test_a_gateway_error_is_waited_out_with_backoff() -> None:
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responses = [
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httpx.Response(502, text="bad gateway"),
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httpx.Response(503, text="unavailable"),
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completion({"content": "back"}),
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]
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waited: list[float] = []
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client = make_client(lambda request: responses.pop(0), sleep=waited.append)
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[event] = client.complete(EVENTS, tools=None, model="local/qwen")
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assert isinstance(event, AssistantText) and event.text == "back"
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assert waited == list(OUTAGE_BACKOFF_S[:2])
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# Waiting isn't the model's time.
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assert client.last_rate_limit_wait_s == sum(OUTAGE_BACKOFF_S[:2])
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def test_an_outage_that_outlasts_the_backoff_is_surfaced() -> None:
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attempts: list[int] = []
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waited: list[float] = []
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def handler(request: httpx.Request) -> httpx.Response:
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attempts.append(1)
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return httpx.Response(502, text="bad gateway")
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client = make_client(handler, sleep=waited.append)
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with pytest.raises(UpstreamUnavailable, match="502"):
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client.complete(EVENTS, tools=None, model="local/qwen")
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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
|