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Wire the bot's AI chat pipeline (ai_functions.handle_response) to talk to either OpenAI or the Anthropic Messages API, chosen by one active-config switch. Behaviour on the default "gpt" config is unchanged. constants.py: * guarded `import anthropic` + CLAUDECLIENT (mirrors OPENAICLIENT), netrc machine 'anthropic' / ANTHROPIC_API_KEY; * CLAUDE_LATEST_MODEL / CLAUDE_CHEAP_MODEL (opus-4-8 / haiku-4-5); * AI_CONFIGS + DEFAULT_AI_CONFIG loaded from an optional 3rd element of system_gpt_settings.json (backward compatible - a 2-element file falls back to built-in defaults, active "gpt"). Single switch: CONJURER_AI_CONFIG env > settings "active" > "gpt". ai_functions.py: * provider_generate() dispatches to OpenAI (unchanged openai_call) or the new _anthropic_call() (splits system out, alternating messages, max_tokens, temperature omitted - Opus 4.8 rejects sampling params); * AIError normalises both SDKs' exceptions into one category set so handle_response keeps its single set of in-character error replies; * select_model() reads the active config; legacy "gpt-4o" default auto-maps to the active provider's model so the switch actually changes the backend; * set_active_ai_config()/list_ai_configs() with best-effort persistence back into system_gpt_settings.json index 2. ai_commands.py: * $gadaj_teraz <config> hybrid command (Vykidailo-gated) switches backend at runtime; * graceful guards when OPENAICLIENT is None: personal assistants (OpenAI Assistants API) and DALL-E image gen degrade instead of crashing, so a Claude-only deployment boots. system_gpt_settings.json: add the configs block (gpt/claude/_template) as the collection point for future backends. requirements_bot.txt: add anthropic. bot.env.example: ANTHROPIC_API_KEY + CONJURER_AI_CONFIG. Unit tests cover the message splitter, model selection, config listing, and error mapping. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""Unit tests for constants helpers (defensive config / auth headers)."""
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import constants
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def test_service_headers_empty_when_no_key(monkeypatch):
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monkeypatch.setattr(constants, "API_SHARED_KEY", "")
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assert constants.service_headers() == {}
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def test_service_headers_with_key(monkeypatch):
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monkeypatch.setattr(constants, "API_SHARED_KEY", "s3cr3t")
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assert constants.service_headers() == {"X-Conjurer-Api-Key": "s3cr3t"}
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def test_load_json_missing_returns_fallback(tmp_path):
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missing = tmp_path / "nope.json"
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assert constants._load_json(str(missing), {"fallback": 1}) == {"fallback": 1}
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def test_load_json_valid(tmp_path):
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good = tmp_path / "ok.json"
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good.write_text('{"a": 2}', encoding="utf-8")
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assert constants._load_json(str(good), {}) == {"a": 2}
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def test_load_json_corrupt_returns_fallback(tmp_path):
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bad = tmp_path / "bad.json"
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bad.write_text("{ not valid json", encoding="utf-8")
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assert constants._load_json(str(bad), []) == []
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def test_conan_defaults_present():
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# Feature toggles default to "off" so the bridge stays dormant.
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assert constants.CONAN_JOIN_CHANNEL_ID == 0
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assert constants.CONAN_RCON_HOST == ""
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def test_ai_configs_expose_gpt_and_claude_backends():
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cfgs = constants.AI_CONFIGS
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assert cfgs["gpt"]["provider"] == "openai"
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assert cfgs["claude"]["provider"] == "anthropic"
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# Claude carries a max_tokens (Anthropic requires it) and omits temperature
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# (Opus 4.8 / Sonnet 5 reject sampling params).
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assert "max_tokens" in cfgs["claude"]
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assert "temperature" not in cfgs["claude"]
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def test_default_ai_config_is_a_known_config():
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# The single startup switch must always resolve to a real, selectable config.
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assert constants.DEFAULT_AI_CONFIG in constants.AI_CONFIGS
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