Add provider classification and upstream-error tests
ROADMAP "Backend → more tests around endpoint probing and provider setup" and the "Provider setup/probing audit" item. test_provider_endpoints.py covers URL/header building; this adds the provider-identification and degraded-state error reporting around it, against the real src.llm_core: - _detect_provider: host-based (not substring) provider matching, with look-alike-host and domain-in-path guards, and the OpenAI-compatible fallback that xAI / DeepSeek / Gemini correctly use. - _provider_label: human names used in error messages (incl. native vs cloud Ollama and the generic local-endpoint case). - _format_upstream_error: 401/403/404/429/5xx → provider-aware sentences, with JSON / string / plain-text / bytes body detail extraction. - _uses_max_completion_tokens: gpt-5 / o-series detection (gpt-4o stays on plain max_tokens).
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tests/test_provider_classification.py
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tests/test_provider_classification.py
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"""Provider classification and upstream-error formatting (REAL src.llm_core).
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ROADMAP "Backend → more tests around ... provider setup" and "Provider
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setup/probing audit for Anthropic, Gemini, Groq, xAI, OpenRouter, OpenAI, and
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DeepSeek". `test_provider_endpoints.py` already pins URL/header *building*; this
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module pins the two pieces of provider setup that decide WHICH provider an
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endpoint is and how its failures are reported to the user:
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* `_detect_provider` — host-based provider identification (drives payload
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shape, auth headers, and the /v1 collapse). The look-alike-host and
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domain-in-path cases guard the hostname (not substring) matching.
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* `_provider_label` — the human name shown in degraded-state messages.
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* `_format_upstream_error` — turns a raw upstream HTTP status + body into the
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one-line, provider-aware message the UI shows ("Provider probes" degraded
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reporting in the roadmap).
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* `_uses_max_completion_tokens` — the gpt-5 / o-series quirk that the probe
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and chat payload builders branch on.
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conftest.py stubs the heavy deps (sqlalchemy, src.database), so importing the
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real module is side-effect free.
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"""
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import pytest
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from src.llm_core import (
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_detect_provider,
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_provider_label,
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_format_upstream_error,
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_uses_max_completion_tokens,
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)
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# ── _detect_provider ──
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# Matches on hostname (exact or subdomain), never substring, and falls back to
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# the OpenAI-compatible default for everything it doesn't special-case.
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class TestDetectProvider:
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@pytest.mark.parametrize("url,expected", [
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("https://api.anthropic.com", "anthropic"),
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("https://api.anthropic.com/v1", "anthropic"),
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("https://anthropic.com/v1", "anthropic"),
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("https://openrouter.ai/api/v1", "openrouter"),
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("https://api.groq.com/openai/v1", "groq"),
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("http://localhost:11434/api", "ollama"),
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("https://ollama.com", "ollama"),
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# xAI, DeepSeek and Gemini's OpenAI-compatible surface are NOT
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# special-cased — they speak the OpenAI dialect, so the generic
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# "openai" path is correct, not a missed provider.
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("https://api.openai.com/v1", "openai"),
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("https://api.x.ai/v1", "openai"),
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("https://api.deepseek.com", "openai"),
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("https://generativelanguage.googleapis.com/v1beta/openai", "openai"),
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# Ollama's OpenAI-compatible /v1 surface is generic, not native ollama.
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("http://localhost:11434/v1", "openai"),
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])
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def test_known_providers(self, url, expected):
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assert _detect_provider(url) == expected
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def test_lookalike_host_is_not_matched(self):
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# Host merely *starts* with the provider domain as a label — a classic
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# substring-match trap (anthropic.com.evil.example is not Anthropic).
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assert _detect_provider("https://anthropic.com.evil.example/v1") == "openai"
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def test_provider_domain_in_path_is_not_matched(self):
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# The provider domain appears only in the path, not the host.
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assert _detect_provider("https://proxy.example.com/anthropic.com/v1") == "openai"
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def test_trailing_dot_host_still_matches(self):
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# A fully-qualified host with a trailing dot is still that host.
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assert _detect_provider("https://api.anthropic.com./v1") == "anthropic"
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@pytest.mark.parametrize("url", ["", None, "not a url", "://broken"])
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def test_unidentifiable_falls_back_to_openai(self, url):
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assert _detect_provider(url) == "openai"
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# ── _provider_label ──
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# Human-friendly name used in error/degraded-state messages.
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class TestProviderLabel:
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@pytest.mark.parametrize("url,expected", [
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("https://api.anthropic.com/v1", "Anthropic"),
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("https://ollama.com", "Ollama Cloud"),
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("https://api.x.ai/v1", "xAI"),
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("https://api.openai.com/v1", "OpenAI"),
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("https://openrouter.ai/api/v1", "OpenRouter"),
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("https://api.groq.com/openai/v1", "Groq"),
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("https://api.mistral.ai/v1", "Mistral"),
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("https://api.deepseek.com", "DeepSeek"),
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("https://generativelanguage.googleapis.com/v1beta/openai", "Google"),
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("https://api.together.xyz/v1", "Together"),
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("https://api.together.ai/v1", "Together"),
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("https://api.fireworks.ai/inference/v1", "Fireworks"),
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("http://localhost:11434/api", "Ollama"),
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])
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def test_known_labels(self, url, expected):
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assert _provider_label(url) == expected
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def test_local_non_ollama_endpoint(self):
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# A loopback host that isn't on the native Ollama /api path is just a
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# generic local endpoint (e.g. an OpenAI-compatible local server).
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assert _provider_label("http://localhost:8080/v1") == "local endpoint"
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def test_unknown_host_returns_host(self):
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assert _provider_label("https://api.unknown-llm.example/v1") == "api.unknown-llm.example"
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@pytest.mark.parametrize("url", ["", None])
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def test_empty_returns_generic(self, url):
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assert _provider_label(url) == "provider"
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# ── _format_upstream_error ──
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# Status + body → one-line provider-aware sentence.
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class TestFormatUpstreamError:
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def test_401_rejects_key_with_provider_and_detail(self):
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msg = _format_upstream_error(
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401, '{"error": {"message": "Invalid API key"}}', "https://api.x.ai/v1"
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)
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assert msg.startswith("xAI rejected the API key")
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assert "Invalid API key" in msg
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assert "re-paste the key" in msg
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def test_403_denies_access(self):
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msg = _format_upstream_error(
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403, '{"error": {"message": "Forbidden"}}', "https://api.openai.com/v1"
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)
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assert "OpenAI denied access (403)" in msg
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assert "Forbidden" in msg
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def test_404_points_at_base_url(self):
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msg = _format_upstream_error(404, "", "https://api.groq.com/openai/v1")
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assert msg == "Groq returned 404 — check the base URL and model name."
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def test_429_rate_limited(self):
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msg = _format_upstream_error(
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429, '{"error": {"message": "slow down"}}', "https://api.anthropic.com"
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)
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assert msg.startswith("Anthropic rate-limited the request (429).")
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assert "slow down" in msg
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def test_5xx_reported_as_outage(self):
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msg = _format_upstream_error(503, "", "https://api.deepseek.com")
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assert msg == "DeepSeek is having an outage (HTTP 503)."
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def test_other_status_passthrough(self):
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msg = _format_upstream_error(418, "", "https://api.openai.com/v1")
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assert msg == "OpenAI returned HTTP 418"
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def test_string_error_field(self):
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msg = _format_upstream_error(401, '{"error": "bad key"}', "https://api.openai.com/v1")
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assert "bad key" in msg
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def test_plain_text_body_used_as_detail(self):
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msg = _format_upstream_error(500, "upstream exploded", "https://api.openai.com/v1")
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assert "OpenAI is having an outage (HTTP 500)." in msg
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assert "upstream exploded" in msg
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def test_bytes_body_is_decoded(self):
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msg = _format_upstream_error(
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401, b'{"error": {"message": "nope"}}', "https://api.openai.com/v1"
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)
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assert "nope" in msg
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def test_unknown_url_falls_back_to_generic_label(self):
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msg = _format_upstream_error(401, "", "")
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assert msg.startswith("provider rejected the API key")
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# ── _uses_max_completion_tokens ──
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# gpt-5 / o-series need `max_completion_tokens`; everything else `max_tokens`.
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class TestUsesMaxCompletionTokens:
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@pytest.mark.parametrize("model", [
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"gpt-5", "gpt-5.2", "gpt-5-mini", "o1", "o1-preview", "o3", "o3-mini",
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"o4-mini", "gpt-4.5", "gpt-4.5-preview", "openrouter/openai/o3",
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])
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def test_requires_max_completion_tokens(self, model):
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assert _uses_max_completion_tokens(model) is True
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@pytest.mark.parametrize("model", [
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# gpt-4o must NOT be confused with the o-series ("o4"/"o1" tokens).
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"gpt-4o", "gpt-4o-mini", "gpt-4.1", "claude-opus-4", "llama-3.3-70b",
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"deepseek-chat", "", None,
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])
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def test_uses_plain_max_tokens(self, model):
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assert _uses_max_completion_tokens(model) is False
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