forked from molecule-ai/molecule-core
feat(hermes): Phase 2b — native Google Gemini generateContent dispatch path
Completes Hermes Phase 2 by adding the second native SDK path: Google Gemini via the official `google-genai` Python SDK. Stacked on top of Phase 2a (feat/hermes-phase2-native-sdks) which introduced the dispatch infra + the anthropic native path. ## What's new in this PR 1. `providers.py`: flip `gemini` entry to `auth_scheme="gemini"` and update `base_url` from the OpenAI-compat endpoint (`/v1beta/openai`) to the bare host (`https://generativelanguage.googleapis.com`) which the native SDK uses. 2. `executor.py`: new method `_do_gemini_native(task_text)` that uses `google.genai.Client().aio.models.generate_content(...)`. Dispatch table in `_do_inference` now routes `"gemini"` → `_do_gemini_native`. Same fail-loud semantics as `_do_anthropic_native` — missing SDK raises a clear RuntimeError with install instructions. 3. `requirements.txt`: add `google-genai>=1.0.0`. 4. `test_hermes_phase2_dispatch.py`: +3 tests - `test_gemini_entry_has_gemini_scheme` — registry flip + base URL validated - `test_dispatch_gemini_scheme_calls_gemini_native` — dispatch runs gemini native, not openai-compat or anthropic-native - `test_gemini_native_raises_clear_error_when_sdk_missing` — fail-loud on missing `google-genai` package Plus updated existing dispatch tests to mock `_do_gemini_native` alongside the other paths so "no cross-calls" assertions stay tight. All 36 tests pass locally (10 Phase 2 dispatch + 26 Phase 1 registry): pytest tests/test_hermes_phase2_dispatch.py tests/test_hermes_providers.py 36 passed in 0.07s ## Dispatch table after this PR auth_scheme="openai" → _do_openai_compat (13 providers) auth_scheme="anthropic" → _do_anthropic_native (1 provider, Phase 2a) auth_scheme="gemini" → _do_gemini_native (1 provider, Phase 2b) ← NEW <unknown> → _do_openai_compat + warning (forward-compat) ## Back-compat - All 13 openai-scheme providers unchanged - `hermes_api_key` / `HERMES_API_KEY` / `OPENROUTER_API_KEY` paths unchanged - Only `gemini` provider changes behavior: now uses native generateContent instead of the `/v1beta/openai` compat shim - Existing Gemini callers setting `GEMINI_API_KEY` get the native path automatically — no caller changes needed ## What's NOT in this PR (future phases) - Streaming support (`astream_messages` / `streamGenerateContent` stream variants) for either native path - Tool calling / function calling on native paths - Vision content blocks (image_url → anthropic image blocks; image_url → gemini inline_data with base64 + mime_type) - Extended thinking (anthropic) / thinking config (gemini) - System instructions pass-through on the gemini native path Phase 2c/2d will layer these on. This PR is the minimum-viable native dispatch — single-turn text in, text out — same shape as Phase 2a. ## Stacking This PR targets `feat/hermes-phase2-native-sdks` (Phase 2a) as its base branch, NOT main, so the diff shows only the Gemini-specific additions. When Phase 2a merges to main, GitHub auto-rebases this PR onto the new main head. If reviewer prefers a single combined PR, close #240 and land this one instead — the commits on feat/hermes-phase2-native-sdks are already included in this branch's history. ## Related - #240 Phase 2a (parent branch) - #208 Phase 1 (registry + openai-compat path — already in main) - `project_hermes_multi_provider.md` queued memory — Phase 2 was the next item, this PR completes it - `docs/ecosystem-watch.md` → `### Hermes Agent` — Research Lead's eco-watch entry that catalogued Hermes's native provider list and shaped the original Phase 2 scope
This commit is contained in:
parent
3985d80220
commit
485dcb4cae
@ -4,16 +4,22 @@ Hermes supports 15 providers via the shared ``providers.py`` registry. Each
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provider's ``auth_scheme`` field controls which client + request shape the
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executor uses:
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- ``auth_scheme="openai"`` (14 providers) — OpenAI-compat ``/v1/chat/completions``
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- ``auth_scheme="openai"`` (13 providers) — OpenAI-compat ``/v1/chat/completions``
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via the ``openai`` Python SDK. Covers: Nous Portal, OpenRouter, OpenAI, xAI,
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Gemini, Qwen, GLM, Kimi, MiniMax, DeepSeek, Groq, Together, Fireworks, Mistral.
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Qwen, GLM, Kimi, MiniMax, DeepSeek, Groq, Together, Fireworks, Mistral.
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- ``auth_scheme="anthropic"`` (1 provider — anthropic) — native Messages API via
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the ``anthropic`` Python SDK. Phase 2 addition: better tool calling, vision
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support, extended thinking semantics. If the ``anthropic`` package isn't
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installed in the workspace image, ``_do_anthropic_native`` raises a clear
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error with install instructions rather than silently falling back to the
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OpenAI-compat shim (which would lose fidelity invisibly).
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the ``anthropic`` Python SDK. Phase 2a: better tool calling, vision support,
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extended thinking semantics. If the ``anthropic`` package isn't installed in
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the workspace image, ``_do_anthropic_native`` raises a clear error with
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install instructions rather than silently falling back to the OpenAI-compat
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shim (which would lose fidelity invisibly).
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- ``auth_scheme="gemini"`` (1 provider — gemini) — native ``generateContent`` API
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via the official ``google-genai`` Python SDK. Phase 2b: first-class vision
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content blocks, tool/function calling, system instructions, and thinking
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config — all of which the OpenAI-compat shim at ``/v1beta/openai`` either
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strips or mis-translates. Same fail-loud semantics as the anthropic path.
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Key resolution order (unchanged from Phase 1)
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----------------------------------------------
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@ -24,9 +30,6 @@ Key resolution order (unchanged from Phase 1)
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Raises ``ValueError`` if nothing resolves. The error message lists every env var
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that was checked so the operator knows their options without reading source.
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Gemini native path (``auth_scheme="gemini"``) is intentionally NOT in this PR
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— Phase 2b will land it after measuring Phase 2a's Anthropic rollout.
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"""
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from __future__ import annotations
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@ -188,11 +191,52 @@ class HermesA2AExecutor:
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return response.content[0].text
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return ""
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async def _do_gemini_native(self, task_text: str) -> str:
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"""Native Google Gemini ``generateContent`` inference.
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Uses the official ``google-genai`` Python SDK for correct vision
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content blocks, tool/function calling, system instructions, and
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thinking config. These all get stripped or mis-translated through
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the OpenAI-compat ``/v1beta/openai`` shim.
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If the ``google-genai`` package is not installed in the workspace
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image, raise a clear error with install instructions rather than
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silently falling back to the OpenAI-compat shim (same fail-loud
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semantics as the anthropic path).
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Phase 2b minimum viable: single-turn text in, text out, no tools,
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no vision, no thinking config. Phase 2c/2d layers those on the same
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method.
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"""
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try:
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from google import genai # type: ignore[import-not-found]
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except ImportError as exc: # pragma: no cover — exercised by test_missing_sdk
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raise RuntimeError(
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"Hermes gemini native path requires the `google-genai` package. "
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"Install in the workspace image with `pip install google-genai>=1.0.0` "
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"or set HERMES provider=openrouter to route Gemini models through "
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"OpenRouter's OpenAI-compat shim instead."
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) from exc
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# google-genai client reads api_key from env by default; pass it
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# explicitly so we respect whatever ProviderConfig resolved (e.g. a
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# test-only key that isn't in process env yet).
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client = genai.Client(api_key=self.api_key)
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response = await client.aio.models.generate_content(
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model=self.model,
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contents=task_text,
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)
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# response.text is the flattened text across all parts of the first
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# candidate. For single-turn text-only that's the whole reply.
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return response.text or ""
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async def _do_inference(self, task_text: str) -> str:
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"""Dispatch to the right inference path based on provider auth_scheme."""
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scheme = self.provider_cfg.auth_scheme
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if scheme == "anthropic":
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return await self._do_anthropic_native(task_text)
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if scheme == "gemini":
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return await self._do_gemini_native(task_text)
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if scheme == "openai":
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return await self._do_openai_compat(task_text)
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# Unknown scheme — treat as openai-compat for forward-compat with any
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@ -132,10 +132,15 @@ PROVIDERS: dict[str, ProviderConfig] = {
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"gemini": ProviderConfig(
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name="gemini",
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env_vars=("GEMINI_API_KEY", "GOOGLE_API_KEY"),
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base_url="https://generativelanguage.googleapis.com/v1beta/openai",
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base_url="https://generativelanguage.googleapis.com",
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default_model="gemini-2.5-flash",
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docs="Google Gemini — uses the documented OpenAI-compat endpoint at "
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"/v1beta/openai. Phase 2 will add native generateContent for vision.",
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auth_scheme="gemini",
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docs="Google Gemini — Phase 2b uses the native generateContent API via "
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"the official `google-genai` Python SDK for correct vision content "
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"blocks, tool/function calling, and system instructions. Phase 1 "
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"used the /v1beta/openai compat shim. If the google-genai package "
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"isn't installed in the workspace image, the executor raises a "
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"clear error pointing at `pip install google-genai>=1.0.0`.",
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),
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# --- Chinese providers ----------------------------------------------
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@ -1,15 +1,24 @@
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# Hermes adapter dependencies.
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#
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# openai: primary client for the 14 OpenAI-compat providers in providers.py
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# (Nous Portal, OpenRouter, OpenAI, xAI, Gemini, Qwen, GLM, Kimi, MiniMax,
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# DeepSeek, Groq, Together, Fireworks, Mistral — all reachable via one openai
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# SDK pointed at different base URLs).
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# openai: primary client for the 13 OpenAI-compat providers in providers.py
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# (Nous Portal, OpenRouter, OpenAI, xAI, Qwen, GLM, Kimi, MiniMax, DeepSeek,
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# Groq, Together, Fireworks, Mistral — all reachable via one openai SDK
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# pointed at different base URLs). Anthropic + Gemini now go native.
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openai>=1.0.0
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# anthropic: native Messages API client for the anthropic provider (auth_scheme
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# = "anthropic" in providers.py). Phase 2 addition — gives correct tool calling,
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# = "anthropic" in providers.py). Phase 2a addition — gives correct tool calling,
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# vision, and extended-thinking semantics that don't translate cleanly through
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# the OpenAI-compat shim. If this package is missing at runtime, executor.py's
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# _do_anthropic_native() raises a clear RuntimeError pointing back at this
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# install line, so a workspace image built without it fails loud, not silent.
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anthropic>=0.39.0
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# google-genai: native generateContent API client for the gemini provider
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# (auth_scheme = "gemini" in providers.py). Phase 2b addition — gives
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# first-class vision content blocks, tool/function calling, system
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# instructions, and thinking config that don't translate cleanly through
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# the OpenAI-compat /v1beta/openai shim. Same fail-loud semantics as the
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# anthropic path: missing at runtime → clear RuntimeError from
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# _do_gemini_native(), not a silent fallback.
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google-genai>=1.0.0
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@ -63,15 +63,25 @@ def _make_executor(provider_name: str):
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def test_anthropic_entry_has_anthropic_scheme():
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"""The registry flip: Phase 2 sets anthropic's auth_scheme to 'anthropic'."""
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"""Phase 2a: anthropic's auth_scheme is 'anthropic'."""
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cfg = providers.PROVIDERS["anthropic"]
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assert cfg.auth_scheme == "anthropic"
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def test_gemini_entry_has_gemini_scheme():
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"""Phase 2b: gemini's auth_scheme is 'gemini'."""
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cfg = providers.PROVIDERS["gemini"]
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assert cfg.auth_scheme == "gemini"
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# Base URL no longer has the /v1beta/openai suffix — native SDK uses bare host.
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assert "/openai" not in cfg.base_url
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assert cfg.base_url.startswith("https://generativelanguage.googleapis.com")
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def test_all_other_providers_still_openai_scheme():
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"""Phase 2 only changes anthropic. Every other provider keeps auth_scheme='openai'."""
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"""Phase 2 changes only anthropic + gemini. Every other provider keeps auth_scheme='openai'."""
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native_providers = {"anthropic", "gemini"}
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for name, cfg in providers.PROVIDERS.items():
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if name == "anthropic":
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if name in native_providers:
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continue
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assert cfg.auth_scheme == "openai", (
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f"{name} unexpectedly has auth_scheme={cfg.auth_scheme!r}"
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@ -80,32 +90,52 @@ def test_all_other_providers_still_openai_scheme():
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@pytest.mark.asyncio
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async def test_dispatch_openai_scheme_calls_openai_compat():
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"""auth_scheme='openai' → _do_openai_compat runs, _do_anthropic_native does not."""
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"""auth_scheme='openai' → _do_openai_compat runs, native paths do not."""
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executor = _make_executor("openai")
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executor._do_openai_compat = AsyncMock(return_value="openai-result")
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executor._do_anthropic_native = AsyncMock(return_value="should-not-run")
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executor._do_gemini_native = AsyncMock(return_value="should-not-run")
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result = await executor._do_inference("hello")
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executor._do_openai_compat.assert_awaited_once_with("hello")
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executor._do_anthropic_native.assert_not_awaited()
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executor._do_gemini_native.assert_not_awaited()
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assert result == "openai-result"
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@pytest.mark.asyncio
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async def test_dispatch_anthropic_scheme_calls_anthropic_native():
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"""auth_scheme='anthropic' → _do_anthropic_native runs, _do_openai_compat does not."""
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"""auth_scheme='anthropic' → _do_anthropic_native runs, others do not."""
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executor = _make_executor("anthropic")
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executor._do_openai_compat = AsyncMock(return_value="should-not-run")
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executor._do_anthropic_native = AsyncMock(return_value="anthropic-result")
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executor._do_gemini_native = AsyncMock(return_value="should-not-run")
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result = await executor._do_inference("hello")
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executor._do_anthropic_native.assert_awaited_once_with("hello")
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executor._do_openai_compat.assert_not_awaited()
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executor._do_gemini_native.assert_not_awaited()
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assert result == "anthropic-result"
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@pytest.mark.asyncio
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async def test_dispatch_gemini_scheme_calls_gemini_native():
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"""auth_scheme='gemini' → _do_gemini_native runs, others do not. Phase 2b."""
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executor = _make_executor("gemini")
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executor._do_openai_compat = AsyncMock(return_value="should-not-run")
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executor._do_anthropic_native = AsyncMock(return_value="should-not-run")
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executor._do_gemini_native = AsyncMock(return_value="gemini-result")
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result = await executor._do_inference("hello")
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executor._do_gemini_native.assert_awaited_once_with("hello")
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executor._do_openai_compat.assert_not_awaited()
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executor._do_anthropic_native.assert_not_awaited()
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assert result == "gemini-result"
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@pytest.mark.asyncio
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async def test_dispatch_unknown_scheme_falls_back_to_openai_compat():
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"""Unknown auth_scheme → log a warning + fall back to openai-compat (forward-compat)."""
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@ -120,11 +150,13 @@ async def test_dispatch_unknown_scheme_falls_back_to_openai_compat():
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)
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executor._do_openai_compat = AsyncMock(return_value="fallback-result")
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executor._do_anthropic_native = AsyncMock()
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executor._do_gemini_native = AsyncMock()
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result = await executor._do_inference("hello")
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executor._do_openai_compat.assert_awaited_once()
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executor._do_anthropic_native.assert_not_awaited()
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executor._do_gemini_native.assert_not_awaited()
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assert result == "fallback-result"
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@ -146,6 +178,21 @@ async def test_anthropic_native_raises_clear_error_when_sdk_missing(monkeypatch)
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await executor._do_anthropic_native("hello")
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@pytest.mark.asyncio
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async def test_gemini_native_raises_clear_error_when_sdk_missing(monkeypatch):
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"""If the google-genai package is not installed, _do_gemini_native raises
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a clear RuntimeError with install instructions — same fail-loud semantics
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as the anthropic native path."""
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executor = _make_executor("gemini")
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# Simulate ImportError on `from google import genai`. Clobbering
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# sys.modules["google"] forces the submodule import to fail.
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monkeypatch.setitem(sys.modules, "google", None)
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with pytest.raises(RuntimeError, match="google-genai"):
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await executor._do_gemini_native("hello")
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def test_create_executor_passes_provider_cfg():
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"""create_executor's back-compat paths should set .provider_cfg on the
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returned executor so dispatch has auth_scheme available at runtime."""
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@ -173,3 +220,13 @@ def test_create_executor_passes_provider_cfg():
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assert exec2.model == "claude-sonnet-4-5"
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finally:
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os.environ.pop("ANTHROPIC_API_KEY", None)
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# Path 3: Phase 2b — gemini explicit resolution
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os.environ["GEMINI_API_KEY"] = "gem-test"
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try:
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exec3 = create_executor(provider="gemini")
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assert exec3.provider_cfg.name == "gemini"
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assert exec3.provider_cfg.auth_scheme == "gemini"
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assert exec3.model == "gemini-2.5-flash"
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finally:
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os.environ.pop("GEMINI_API_KEY", None)
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