mirror of
https://github.com/HKUDS/nanobot.git
synced 2026-09-04 02:01:48 +03:00
fix(providers): complete OAuth model discovery
This commit is contained in:
@@ -1,9 +1,14 @@
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"""Online model discovery for OAuth providers with bounded local fallback."""
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# oauth-cli-kit does not publish type stubs.
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# pyright: reportMissingTypeStubs=false
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from __future__ import annotations
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import base64
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import hashlib
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import json
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import os
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import threading
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import time
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from collections.abc import Callable, Sequence
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@@ -18,6 +23,8 @@ from nanobot import __version__
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DEFAULT_XAI_GROK_MODEL = "xai-grok/grok-4.6"
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DEFAULT_XAI_GROK_MODELS_URL = "https://cli-chat-proxy.grok.com/v1/models"
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DEFAULT_OPENAI_CODEX_MODELS_URL = "https://chatgpt.com/backend-api/codex/models"
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OPENAI_CODEX_CATALOG_CLIENT_VERSION = "0.144.0"
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CatalogSource = Literal["remote", "cache", "stale", "fallback"]
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@@ -98,49 +105,61 @@ class OAuthModelCatalog:
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self._entries: dict[str, _CacheEntry] = {}
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self._failures: dict[str, float] = {}
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self._inflight: set[str] = set()
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self._generation = 0
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def get(self, *, cache_key: str, proxy: str | None = None) -> OAuthModelCatalogSnapshot:
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"""Return a fresh catalog, sharing concurrent work and failing to a usable list."""
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with self._condition:
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cached = self._cached_result(cache_key)
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if cached is not None:
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return cached
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while cache_key in self._inflight:
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self._condition.wait()
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while True:
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with self._condition:
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cached = self._cached_result(cache_key)
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if cached is not None:
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return cached
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self._inflight.add(cache_key)
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while cache_key in self._inflight:
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self._condition.wait()
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cached = self._cached_result(cache_key)
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if cached is not None:
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return cached
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generation = self._generation
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self._inflight.add(cache_key)
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try:
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models = tuple(self._fetch(proxy))
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if not models:
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raise ValueError("provider returned an empty model catalog")
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except Exception as exc:
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logger.warning(
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"OAuth model catalog refresh failed: type={}",
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type(exc).__name__,
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)
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result = self._failure_result(cache_key)
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else:
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now = self._monotonic()
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result = OAuthModelCatalogSnapshot(
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models=models,
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source="remote",
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fetched_at=self._wall_clock(),
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)
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with self._condition:
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self._store(cache_key, _CacheEntry(snapshot=result, stored_at=now))
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self._failures.pop(cache_key, None)
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finally:
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with self._condition:
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self._inflight.discard(cache_key)
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self._condition.notify_all()
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return result
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try:
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models = tuple(self._fetch(proxy))
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if not models:
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raise ValueError("provider returned an empty model catalog")
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except Exception as exc:
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logger.warning(
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"OAuth model catalog refresh failed: type={}",
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type(exc).__name__,
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)
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with self._condition:
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invalidated = generation != self._generation
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result = self._failure_result(cache_key) if not invalidated else None
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else:
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now = self._monotonic()
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result = OAuthModelCatalogSnapshot(
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models=models,
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source="remote",
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fetched_at=self._wall_clock(),
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)
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with self._condition:
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invalidated = generation != self._generation
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if not invalidated:
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self._store(cache_key, _CacheEntry(snapshot=result, stored_at=now))
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self._failures.pop(cache_key, None)
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finally:
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with self._condition:
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self._inflight.discard(cache_key)
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self._condition.notify_all()
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if invalidated:
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continue
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assert result is not None
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return result
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def invalidate(self) -> None:
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"""Drop cached and negative results, for example after account changes."""
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"""Drop cached work and prevent an older account refresh from being stored."""
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with self._condition:
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self._generation += 1
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self._entries.clear()
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self._failures.clear()
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@@ -155,10 +174,9 @@ class OAuthModelCatalog:
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return None
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def _failure_result(self, cache_key: str) -> OAuthModelCatalogSnapshot:
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with self._condition:
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now = self._monotonic()
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self._failures[cache_key] = now + self._failure_ttl_s
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return self._stale_or_fallback(self._entries.get(cache_key), now)
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now = self._monotonic()
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self._failures[cache_key] = now + self._failure_ttl_s
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return self._stale_or_fallback(self._entries.get(cache_key), now)
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def _stale_or_fallback(
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self,
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@@ -200,11 +218,83 @@ _CURATED_XAI_GROK_MODELS = (
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),
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)
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_CURATED_OPENAI_CODEX_MODELS = (
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OAuthModelInfo(
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id="openai-codex/gpt-5.6-sol",
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label="GPT-5.6-Sol",
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description="Latest frontier agentic coding model.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh", "max", "ultra"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.6-terra",
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label="GPT-5.6-Terra",
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description="Balanced agentic coding model for everyday work.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh", "max", "ultra"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.6-luna",
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label="GPT-5.6-Luna",
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description="Fast and affordable agentic coding model.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh", "max"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.5",
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label="GPT-5.5",
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description="Frontier model for complex coding, research, and real-world work.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.4",
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label="GPT-5.4",
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description="Strong model for everyday coding.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.4-mini",
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label="GPT-5.4-Mini",
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description="Small, fast, and cost-efficient model for simpler coding tasks.",
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owned_by="OpenAI Codex",
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context_window=272_000,
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reasoning_efforts=("low", "medium", "high", "xhigh"),
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),
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OAuthModelInfo(
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id="openai-codex/gpt-5.3-codex-spark",
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label="GPT-5.3-Codex-Spark",
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description="Ultra-fast coding model.",
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owned_by="OpenAI Codex",
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context_window=128_000,
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reasoning_efforts=("low", "medium", "high", "xhigh"),
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),
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)
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_CURATED_GITHUB_COPILOT_MODELS = (
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OAuthModelInfo(
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id="github-copilot/gpt-4.1",
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label="GPT-4.1",
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description="GitHub Copilot chat model.",
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owned_by="GitHub Copilot",
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),
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)
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def curated_oauth_models(provider_name: str) -> tuple[OAuthModelInfo, ...]:
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"""Return stable metadata used only to enrich or backstop online discovery."""
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if provider_name == "xai_grok":
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return _CURATED_XAI_GROK_MODELS
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if provider_name == "openai_codex":
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return _CURATED_OPENAI_CODEX_MODELS
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if provider_name == "github_copilot":
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return _CURATED_GITHUB_COPILOT_MODELS
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return ()
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@@ -214,16 +304,203 @@ def get_oauth_model_catalog(
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proxy: str | None = None,
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) -> OAuthModelCatalogSnapshot:
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"""Discover models for a supported OAuth provider."""
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if provider_name != "xai_grok":
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raise ValueError(f"OAuth model discovery is not available for {provider_name}")
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cache_key = f"{_xai_oauth_storage_path()}\0{proxy or ''}"
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return _XAI_GROK_CATALOG.get(cache_key=cache_key, proxy=proxy)
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if provider_name == "xai_grok":
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cache_key = f"{_xai_oauth_storage_path()}\0{_xai_account_key()}\0{proxy or ''}"
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return _XAI_GROK_CATALOG.get(cache_key=cache_key, proxy=proxy)
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if provider_name == "openai_codex":
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cache_key = (
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f"{_openai_codex_storage_path()}\0{_openai_codex_account_key()}\0{proxy or ''}"
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)
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return _OPENAI_CODEX_CATALOG.get(cache_key=cache_key, proxy=proxy)
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if provider_name == "github_copilot":
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cache_key = (
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f"{_github_copilot_storage_path()}\0{_github_copilot_account_key()}\0"
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f"{_github_copilot_models_url()}"
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)
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return _GITHUB_COPILOT_CATALOG.get(cache_key=cache_key, proxy=proxy)
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raise ValueError(f"OAuth model discovery is not available for {provider_name}")
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def invalidate_oauth_model_catalog(provider_name: str) -> None:
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"""Invalidate provider discovery after OAuth identity changes."""
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if provider_name == "xai_grok":
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_XAI_GROK_CATALOG.invalidate()
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catalog = _OAUTH_CATALOGS.get(provider_name)
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if catalog is not None:
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catalog.invalidate()
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def _fetch_openai_codex_models(proxy: str | None) -> tuple[OAuthModelInfo, ...]:
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from oauth_cli_kit import get_token as get_codex_token
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token = get_codex_token(proxy=proxy)
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account_id = getattr(token, "account_id", None)
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if not isinstance(account_id, str) or not account_id:
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raise RuntimeError("OpenAI Codex OAuth token has no account ID")
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client_kwargs: dict[str, Any] = {"timeout": 10.0, "follow_redirects": False}
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if proxy:
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client_kwargs.update(proxy=proxy, trust_env=False)
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with httpx.Client(**client_kwargs) as client:
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response = client.get(
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DEFAULT_OPENAI_CODEX_MODELS_URL,
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params={"client_version": OPENAI_CODEX_CATALOG_CLIENT_VERSION},
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headers={
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"Authorization": f"Bearer {token.access}",
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"chatgpt-account-id": account_id,
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"originator": "nanobot",
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"User-Agent": f"nanobot/{__version__} (python)",
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"accept": "application/json",
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},
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)
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response.raise_for_status()
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return _parse_openai_codex_models(response.json())
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def _parse_openai_codex_models(payload: Any) -> tuple[OAuthModelInfo, ...]:
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rows = cast(dict[str, Any], payload).get("models") if isinstance(payload, dict) else None
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if not isinstance(rows, list):
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return ()
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curated = {model.wire_id: model for model in _CURATED_OPENAI_CODEX_MODELS}
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parsed: list[tuple[int, OAuthModelInfo]] = []
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seen: set[str] = set()
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for value in cast(list[object], rows):
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if not isinstance(value, dict):
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continue
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row = cast(dict[str, Any], value)
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wire_id = _first_text(row, "slug", "id")
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if not wire_id or wire_id in seen or row.get("visibility") in {"hide", "none"}:
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continue
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seen.add(wire_id)
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fallback = curated.get(wire_id)
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label = _first_text(row, "display_name", "name")
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description = _first_text(row, "description")
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priority = row.get("priority")
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parsed.append(
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(
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priority if isinstance(priority, int) and not isinstance(priority, bool) else 2**31,
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OAuthModelInfo(
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id=f"openai-codex/{wire_id}",
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label=label or (fallback.label if fallback is not None else wire_id),
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description=(
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description
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or (fallback.description if fallback is not None else "")
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),
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owned_by="OpenAI Codex",
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context_window=(
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_positive_int(row, "context_window")
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or (fallback.context_window if fallback is not None else None)
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),
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reasoning_efforts=(
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_reasoning_efforts(row.get("supported_reasoning_levels"))
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or (fallback.reasoning_efforts if fallback is not None else ())
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),
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),
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)
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)
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parsed.sort(key=lambda item: item[0])
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return tuple(model for _, model in parsed)
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def _fetch_github_copilot_models(proxy: str | None) -> tuple[OAuthModelInfo, ...]:
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from nanobot.providers.github_copilot_provider import (
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DEFAULT_COPILOT_TOKEN_URL,
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EDITOR_PLUGIN_VERSION,
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EDITOR_VERSION,
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USER_AGENT,
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get_storage,
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)
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github_token = get_storage().load()
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if not github_token or not github_token.access:
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raise RuntimeError("GitHub Copilot is not logged in")
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common_headers = {
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"Accept": "application/json",
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"User-Agent": USER_AGENT,
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"Editor-Version": EDITOR_VERSION,
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"Editor-Plugin-Version": EDITOR_PLUGIN_VERSION,
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}
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client_kwargs: dict[str, Any] = {"timeout": 20.0, "follow_redirects": True}
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if proxy:
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client_kwargs.update(proxy=proxy, trust_env=False)
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with httpx.Client(**client_kwargs) as client:
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exchange = client.get(
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os.environ.get("NANOBOT_COPILOT_TOKEN_URL", "").strip()
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or DEFAULT_COPILOT_TOKEN_URL,
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headers={**common_headers, "Authorization": f"token {github_token.access}"},
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)
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exchange.raise_for_status()
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exchange_payload = exchange.json()
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exchange_mapping = _mapping(exchange_payload)
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copilot_token = (
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exchange_mapping.get("token") if exchange_mapping else None
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)
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if not isinstance(copilot_token, str) or not copilot_token:
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raise RuntimeError("GitHub Copilot token exchange returned no token")
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endpoint_base = _first_text(_mapping(exchange_mapping.get("endpoints")), "api")
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if endpoint_base:
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models_url = (
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endpoint_base
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if endpoint_base.rstrip("/").endswith("/models")
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else f"{endpoint_base.rstrip('/')}/models"
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)
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else:
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models_url = _github_copilot_models_url()
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response = client.get(
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models_url,
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headers={**common_headers, "Authorization": f"Bearer {copilot_token}"},
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)
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response.raise_for_status()
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return _parse_github_copilot_models(response.json())
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def _parse_github_copilot_models(payload: Any) -> tuple[OAuthModelInfo, ...]:
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rows = cast(dict[str, Any], payload).get("data") if isinstance(payload, dict) else None
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if not isinstance(rows, list):
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return ()
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curated = {model.wire_id: model for model in _CURATED_GITHUB_COPILOT_MODELS}
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models: list[OAuthModelInfo] = []
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seen: set[str] = set()
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for value in cast(list[object], rows):
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if not isinstance(value, dict):
|
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continue
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row = cast(dict[str, Any], value)
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wire_id = _first_text(row, "id")
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policy = _mapping(row.get("policy"))
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endpoints = row.get("supported_endpoints")
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if (
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not wire_id
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or wire_id in seen
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or row.get("model_picker_enabled") is not True
|
||||
or policy.get("state") == "disabled"
|
||||
or (
|
||||
isinstance(endpoints, list)
|
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and "/chat/completions" not in cast(list[object], endpoints)
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)
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):
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continue
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seen.add(wire_id)
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capabilities = _mapping(row.get("capabilities"))
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supports = _mapping(capabilities.get("supports"))
|
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limits = _mapping(capabilities.get("limits"))
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fallback = curated.get(wire_id)
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models.append(
|
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OAuthModelInfo(
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id=f"github-copilot/{wire_id}",
|
||||
label=(
|
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_first_text(row, "name")
|
||||
or (fallback.label if fallback is not None else wire_id)
|
||||
),
|
||||
description=(fallback.description if fallback is not None else ""),
|
||||
owned_by="GitHub Copilot",
|
||||
context_window=(
|
||||
_positive_int(limits, "max_context_window_tokens")
|
||||
or (fallback.context_window if fallback is not None else None)
|
||||
),
|
||||
reasoning_efforts=_reasoning_efforts(supports.get("reasoning_effort")),
|
||||
)
|
||||
)
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return tuple(models)
|
||||
|
||||
|
||||
def _fetch_xai_grok_models(proxy: str | None) -> tuple[OAuthModelInfo, ...]:
|
||||
@@ -334,6 +611,10 @@ def _first_text(row: dict[str, Any], *keys: str) -> str:
|
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return ""
|
||||
|
||||
|
||||
def _mapping(value: Any) -> dict[str, Any]:
|
||||
return cast(dict[str, Any], value) if isinstance(value, dict) else {}
|
||||
|
||||
|
||||
def _positive_int(row: dict[str, Any], *keys: str) -> int | None:
|
||||
for key in keys:
|
||||
value = row.get(key)
|
||||
@@ -361,7 +642,7 @@ def _reasoning_efforts(value: Any) -> tuple[str, ...]:
|
||||
if isinstance(item, str):
|
||||
effort = item.strip()
|
||||
elif isinstance(item, dict):
|
||||
effort = _first_text(cast(dict[str, Any], item), "value", "id")
|
||||
effort = _first_text(cast(dict[str, Any], item), "effort", "value", "id")
|
||||
else:
|
||||
effort = ""
|
||||
if effort and effort not in efforts:
|
||||
@@ -375,6 +656,56 @@ def _xai_oauth_storage_path() -> Path:
|
||||
return get_xai_oauth_storage_path()
|
||||
|
||||
|
||||
def _account_key(account_id: object) -> str:
|
||||
value = account_id if isinstance(account_id, str) else ""
|
||||
return hashlib.sha256(value.encode()).hexdigest()[:16] if value else "anonymous"
|
||||
|
||||
|
||||
def _xai_account_key() -> str:
|
||||
from nanobot.providers.xai_oauth import get_xai_oauth_login_status
|
||||
|
||||
token = get_xai_oauth_login_status()
|
||||
return _account_key(getattr(token, "account_id", None))
|
||||
|
||||
|
||||
def _openai_codex_storage_path() -> Path:
|
||||
from oauth_cli_kit.providers import OPENAI_CODEX_PROVIDER
|
||||
from oauth_cli_kit.storage import FileTokenStorage
|
||||
|
||||
return FileTokenStorage(token_filename=OPENAI_CODEX_PROVIDER.token_filename).get_token_path()
|
||||
|
||||
|
||||
def _openai_codex_account_key() -> str:
|
||||
from oauth_cli_kit.providers import OPENAI_CODEX_PROVIDER
|
||||
from oauth_cli_kit.storage import FileTokenStorage
|
||||
|
||||
token = FileTokenStorage(token_filename=OPENAI_CODEX_PROVIDER.token_filename).load()
|
||||
return _account_key(getattr(token, "account_id", None))
|
||||
|
||||
|
||||
def _github_copilot_storage_path() -> Path:
|
||||
from nanobot.providers.github_copilot_provider import get_storage
|
||||
|
||||
return get_storage().get_token_path()
|
||||
|
||||
|
||||
def _github_copilot_account_key() -> str:
|
||||
from nanobot.providers.github_copilot_provider import get_storage
|
||||
|
||||
token = get_storage().load()
|
||||
return _account_key(getattr(token, "account_id", None))
|
||||
|
||||
|
||||
def _github_copilot_models_url() -> str:
|
||||
from nanobot.providers.github_copilot_provider import DEFAULT_COPILOT_BASE_URL
|
||||
|
||||
base_url = (
|
||||
os.environ.get("NANOBOT_COPILOT_BASE_URL", "").strip()
|
||||
or DEFAULT_COPILOT_BASE_URL
|
||||
)
|
||||
return f"{base_url.rstrip('/')}/models"
|
||||
|
||||
|
||||
def _xai_oauth_token(proxy: str | None) -> _XAIToken:
|
||||
from nanobot.providers.xai_oauth import get_xai_oauth_token
|
||||
|
||||
@@ -423,3 +754,16 @@ _XAI_GROK_CATALOG = OAuthModelCatalog(
|
||||
fallback_models=_CURATED_XAI_GROK_MODELS,
|
||||
fetch=_fetch_xai_grok_models,
|
||||
)
|
||||
_OPENAI_CODEX_CATALOG = OAuthModelCatalog(
|
||||
fallback_models=_CURATED_OPENAI_CODEX_MODELS,
|
||||
fetch=_fetch_openai_codex_models,
|
||||
)
|
||||
_GITHUB_COPILOT_CATALOG = OAuthModelCatalog(
|
||||
fallback_models=_CURATED_GITHUB_COPILOT_MODELS,
|
||||
fetch=_fetch_github_copilot_models,
|
||||
)
|
||||
_OAUTH_CATALOGS = {
|
||||
"xai_grok": _XAI_GROK_CATALOG,
|
||||
"openai_codex": _OPENAI_CODEX_CATALOG,
|
||||
"github_copilot": _GITHUB_COPILOT_CATALOG,
|
||||
}
|
||||
|
||||
@@ -409,46 +409,15 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
|
||||
keywords=("openai-codex",),
|
||||
env_key="",
|
||||
display_name="OpenAI Codex",
|
||||
model_catalog="builtin",
|
||||
builtin_models=(
|
||||
model_catalog="hybrid",
|
||||
builtin_models=tuple(
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.6-sol",
|
||||
label="GPT-5.6-Sol",
|
||||
description="Latest frontier agentic coding model.",
|
||||
context_window=372000,
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.6-terra",
|
||||
label="GPT-5.6-Terra",
|
||||
description="Balanced agentic coding model for everyday work.",
|
||||
context_window=372000,
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.6-luna",
|
||||
label="GPT-5.6-Luna",
|
||||
description="Fast and affordable agentic coding model.",
|
||||
context_window=372000,
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.5",
|
||||
label="GPT-5.5",
|
||||
description="Frontier model for complex coding, research, and real-world work.",
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.4",
|
||||
label="GPT-5.4",
|
||||
description="Strong model for everyday coding.",
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.4-mini",
|
||||
label="GPT-5.4-Mini",
|
||||
description="Small, fast, and cost-efficient model for simpler coding tasks.",
|
||||
),
|
||||
ProviderModelSpec(
|
||||
id="openai-codex/gpt-5.3-codex-spark",
|
||||
label="GPT-5.3-Codex-Spark",
|
||||
description="Ultra-fast coding model.",
|
||||
),
|
||||
id=model.id,
|
||||
label=model.label,
|
||||
description=model.description,
|
||||
context_window=model.context_window,
|
||||
)
|
||||
for model in curated_oauth_models("openai_codex")
|
||||
),
|
||||
backend="openai_codex",
|
||||
detect_by_base_keyword="codex",
|
||||
@@ -481,6 +450,16 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
|
||||
keywords=("github_copilot", "copilot"),
|
||||
env_key="",
|
||||
display_name="Github Copilot",
|
||||
model_catalog="hybrid",
|
||||
builtin_models=tuple(
|
||||
ProviderModelSpec(
|
||||
id=model.id,
|
||||
label=model.label,
|
||||
description=model.description,
|
||||
context_window=model.context_window,
|
||||
)
|
||||
for model in curated_oauth_models("github_copilot")
|
||||
),
|
||||
backend="github_copilot",
|
||||
default_api_base="https://api.githubcopilot.com",
|
||||
strip_model_prefix=True,
|
||||
|
||||
@@ -1534,6 +1534,7 @@ def login_oauth_provider(
|
||||
token = login_github_copilot(print_fn=lambda _message: None)
|
||||
if not (token and token.access):
|
||||
raise WebUISettingsError("OAuth login failed", status=401)
|
||||
invalidate_oauth_model_catalog(spec.name)
|
||||
return settings_payload(config_path=config_path)
|
||||
|
||||
if spec.name == "xai_grok":
|
||||
@@ -1666,6 +1667,7 @@ def logout_oauth_provider(
|
||||
for path in (token_path, token_path.with_suffix(".lock")):
|
||||
with suppress(FileNotFoundError):
|
||||
path.unlink()
|
||||
invalidate_oauth_model_catalog(spec.name)
|
||||
return settings_payload(config_path=config_path)
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user