Commit Graph

6 Commits

Author SHA1 Message Date
teknium1 d364473620 refactor(model-providers): fetch_models stubs drop to the ABC; commandcode and AI Gateway catalog GETs go through open_credentialed_url
vertex, bedrock and copilot-acp each overrode ProviderProfile.fetch_models with an identical `return None`, and the overrides could not simply be deleted because the base implementation derives a URL from base_url and would GET e.g. bedrock-runtime.../models or acp://copilot/models. ProviderProfile now carries `supports_model_listing` (default True); the base fetch_models returns None before touching the network when it is False, and the three SDK/subprocess-backed profiles set it in their constructors instead of overriding. Separately, two catalog GETs still went through bare urllib.request.urlopen: commandcode's fetch_models and hermes_cli.models._fetch_ai_gateway_models (which sends the AI Gateway bearer). Both now use the redirect-safe open_credentialed_url path (_urlopen_model_catalog_request in models.py, also applied to the unauthenticated fetch_ai_gateway_models for consistency). This is a security behavior change: a cross-origin redirect from either endpoint no longer forwards the Authorization/attribution headers to the redirect target. The AI Gateway tests that patched the global urlopen are repointed at hermes_cli.models._urlopen_model_catalog_request (the seam tests/hermes_cli/test_models.py already uses), the commandcode test patches open_credentialed_url on the plugin module, and two invariant tests pin the no-network guard and the bearer routing.
2026-09-13 05:19:48 -07:00
Teknium 40722b322c refactor(model-providers): pack keyword-only profile constructors (comments and multi-line values keep their lines) 2026-09-02 21:45:13 -07:00
Teknium 9338e21093 refactor(model-providers): compact reasoning-translation profiles (opencode, kimi, zai, minimax, nous, qwen, custom, upstage, nebius, meta-ai, deepseek, copilot, deepinfra, vertex, gemini), fold catalog tuples 2026-09-02 21:36:03 -07:00
Teknium 313b244e8f refactor(plugins/model-providers): reuse agent.reasoning_effort clamps, per-model dict tables, compact profiles 2026-09-02 13:30:28 -07:00
Teknium 63fc810b95 fix(gemini): sweep hardcoded Gemini default models to gemini-3.6-flash (#32360)
gemini-2.5-flash shuts down Oct 16 2026 (Google deprecation schedule)
and gemini-3-flash-preview is superseded. Update every hardcoded
default to the current GA flash model:

- gemini_native_adapter: probe_gemini_tier + _create_chat_completion
  default params; free-tier guidance de-pinned from a specific model's
  RPD number so it doesn't stale again
- auxiliary_client: gemini/kilocode fallback aux models,
  _OPENROUTER_MODEL, _NOUS_MODEL -> google/gemini-3.6-flash
  (verified live on both OpenRouter and Nous portal /models)
- provider plugins: kilocode + vertex default_aux_model
- hindsight memory plugin: gemini provider default
- setup wizard gemini list: 3-flash-preview -> 3.6-flash (matches the
  curated picker catalog)
- tests: aux-client assertions that pinned the old default literal now
  reference the _NOUS_MODEL constant, so the next default bump can't
  break them (change-detector cleanup)

Fixes #32360.
2026-07-28 18:17:56 -07:00
Steve Lawton c73e74386b feat(vertex): add Google Vertex AI provider for Gemini (OAuth2)
Adds Vertex AI as a first-class provider for Gemini models via Vertex's
OpenAI-compatible endpoint. Vertex authenticates with short-lived OAuth2
access tokens (service-account JSON or ADC), not a static API key — the
missing piece behind the recurring requests (#13484, #12639, #56259).

- agent/vertex_adapter.py: OAuth2 token minting + refresh-on-expiry
  (5-min margin), ADC->service-account fallback, global vs regional
  endpoint URLs. Config precedence: env var > config.yaml > default.
- plugins/model-providers/vertex/: provider profile (auth_type=vertex),
  reuses Gemini's extra_body.google.thinking_config translation.
- runtime_provider: vertex short-circuit BEFORE the credential pool so a
  credentials-file path is never mistaken for a static API key; mints a
  fresh token + computes base_url per resolve.
- run_agent + conversation_loop: _try_refresh_vertex_client_credentials()
  re-mints the token and rebuilds the client on a mid-session 401, so a
  long-lived gateway agent survives token expiry (~1h).
- auxiliary_client: vertex auth_type branch for side-LLM tasks.
- config.yaml: vertex.project_id / vertex.region (non-secret, bridged to
  env); credential path stays in .env (VERTEX_CREDENTIALS_PATH).
- setup wizard + model picker: dedicated _model_flow_vertex; curated
  google/gemini-* model list; --provider choices.
- pricing/metadata: Vertex prices off the gemini docs snapshot; endpoint
  host auto-maps to the vertex provider (no probe spam).
- lazy_deps + pyproject [vertex] extra: google-auth, opt-in only.
- docs: guides/google-vertex.md + providers page; tests for adapter +
  runtime resolution.

Salvages and modernizes #8427 by @slawt onto current main: rewired from
the legacy PROVIDER_REGISTRY path to the provider-profile architecture,
moved non-secret config out of .env into config.yaml, and added the
per-turn 401 token-refresh the original lacked.
2026-07-01 05:25:33 -07:00