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feat(cli): add native Antigravity OAuth provider
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29176ffecf
commit
8baa4e9976
25 changed files with 2371 additions and 18 deletions
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@ -3074,6 +3074,8 @@ def select_provider_and_model(args=None):
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_model_flow_minimax_oauth(config, current_model, args=args)
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elif selected_provider == "google-gemini-cli":
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_model_flow_google_gemini_cli(config, current_model)
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elif selected_provider == "google-antigravity":
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_model_flow_google_antigravity(config, current_model)
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elif selected_provider == "copilot-acp":
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_model_flow_copilot_acp(config, current_model)
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elif selected_provider == "copilot":
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@ -3609,6 +3611,271 @@ _DEFAULT_QWEN_PORTAL_MODELS = [
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def _model_flow_google_antigravity(_config, current_model=""):
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"""Google Antigravity OAuth via Antigravity Code Assist."""
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from hermes_cli.auth import (
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DEFAULT_ANTIGRAVITY_CLOUDCODE_BASE_URL,
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get_antigravity_oauth_auth_status,
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resolve_antigravity_oauth_runtime_credentials,
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_prompt_model_selection,
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_save_model_choice,
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_update_config_for_provider,
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)
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from hermes_cli.models import provider_model_ids
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status = get_antigravity_oauth_auth_status()
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if not status.get("logged_in"):
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try:
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from agent.antigravity_oauth import resolve_project_id_from_env, start_oauth_flow
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env_project = resolve_project_id_from_env()
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start_oauth_flow(force_relogin=True, project_id=env_project)
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except Exception as exc:
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print(f"OAuth login failed: {exc}")
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return
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try:
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creds = resolve_antigravity_oauth_runtime_credentials(force_refresh=False)
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project_id = creds.get("project_id", "")
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if project_id:
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print(f" Using Antigravity project: {project_id}")
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except Exception as exc:
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print(f"Failed to resolve Antigravity credentials: {exc}")
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return
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models = provider_model_ids("google-antigravity")
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default = current_model or (models[0] if models else "gemini-3-flash-agent")
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selected = _prompt_model_selection(models, current_model=default)
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if selected:
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_save_model_choice(selected)
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_update_config_for_provider(
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"google-antigravity", DEFAULT_ANTIGRAVITY_CLOUDCODE_BASE_URL
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)
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print(
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f"Default model set to: {selected} (via Google Antigravity OAuth / Code Assist)"
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)
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else:
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print("No change.")
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def _model_flow_custom(config):
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"""Custom endpoint: collect URL, API key, and model name.
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Automatically saves the endpoint to ``custom_providers`` in config.yaml
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so it appears in the provider menu on subsequent runs.
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"""
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from hermes_cli.auth import _save_model_choice, deactivate_provider
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from hermes_cli.config import get_env_value, load_config, save_config
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current_url = get_env_value("OPENAI_BASE_URL") or ""
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current_key = get_env_value("OPENAI_API_KEY") or ""
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print("Custom OpenAI-compatible endpoint configuration:")
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if current_url:
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print(f" Current URL: {current_url}")
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if current_key:
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print(f" Current key: {current_key[:8]}...")
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print()
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try:
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base_url = input(
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f"API base URL [{current_url or 'e.g. https://api.example.com/v1'}]: "
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).strip()
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import getpass
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api_key = getpass.getpass(
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f"API key [{current_key[:8] + '...' if current_key else 'optional'}]: "
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).strip()
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except (KeyboardInterrupt, EOFError):
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print("\nCancelled.")
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return
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if not base_url and not current_url:
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print("No URL provided. Cancelled.")
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return
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# Validate URL format
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effective_url = base_url or current_url
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if not effective_url.startswith(("http://", "https://")):
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print(f"Invalid URL: {effective_url} (must start with http:// or https://)")
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return
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effective_key = api_key or current_key
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# Hint: most local model servers (Ollama, vLLM, llama.cpp) require /v1
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# in the base URL for OpenAI-compatible chat completions. Prompt the
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# user if the URL looks like a local server without /v1.
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_url_lower = effective_url.rstrip("/").lower()
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_looks_local = any(
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h in _url_lower
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for h in ("localhost", "127.0.0.1", "0.0.0.0", ":11434", ":8080", ":5000")
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)
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if _looks_local and not _url_lower.endswith("/v1"):
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print()
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print(f" Hint: Did you mean to add /v1 at the end?")
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print(f" Most local model servers (Ollama, vLLM, llama.cpp) require it.")
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print(f" e.g. {effective_url.rstrip('/')}/v1")
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try:
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_add_v1 = input(" Add /v1? [Y/n]: ").strip().lower()
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except (KeyboardInterrupt, EOFError):
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_add_v1 = "n"
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if _add_v1 in {"", "y", "yes"}:
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effective_url = effective_url.rstrip("/") + "/v1"
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if base_url:
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base_url = effective_url
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print(f" Updated URL: {effective_url}")
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print()
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from hermes_cli.models import probe_api_models
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probe = probe_api_models(effective_key, effective_url)
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if probe.get("used_fallback") and probe.get("resolved_base_url"):
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print(
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f"Warning: endpoint verification worked at {probe['resolved_base_url']}/models, "
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f"not the exact URL you entered. Saving the working base URL instead."
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)
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effective_url = probe["resolved_base_url"]
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if base_url:
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base_url = effective_url
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elif probe.get("models") is not None:
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print(
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f"Verified endpoint via {probe.get('probed_url')} "
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f"({len(probe.get('models') or [])} model(s) visible)"
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)
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else:
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print(
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f"Warning: could not verify this endpoint via {probe.get('probed_url')}. "
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f"Hermes will still save it."
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)
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if probe.get("suggested_base_url"):
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suggested = probe["suggested_base_url"]
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if suggested.endswith("/v1"):
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print(
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f" If this server expects /v1 in the path, try base URL: {suggested}"
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)
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else:
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print(f" If /v1 should not be in the base URL, try: {suggested}")
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# Prompt for API compatibility mode explicitly so codex-compatible custom
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# providers don't silently fall back to chat_completions.
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current_model_cfg = config.get("model")
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current_api_mode = ""
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if isinstance(current_model_cfg, dict):
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current_api_mode = str(current_model_cfg.get("api_mode") or "").strip()
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api_mode = _prompt_custom_api_mode_selection(
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effective_url,
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current_api_mode=current_api_mode,
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)
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if api_mode:
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print(f" API mode: {api_mode}")
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else:
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print(" API mode: auto-detect")
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# Select model — use probe results when available, fall back to manual input
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model_name = ""
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detected_models = probe.get("models") or []
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try:
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if len(detected_models) == 1:
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print(f" Detected model: {detected_models[0]}")
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confirm = input(" Use this model? [Y/n]: ").strip().lower()
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if confirm in {"", "y", "yes"}:
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model_name = detected_models[0]
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else:
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model_name = input("Model name (e.g. gpt-4, llama-3-70b): ").strip()
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elif len(detected_models) > 1:
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print(" Available models:")
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for i, m in enumerate(detected_models, 1):
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print(f" {i}. {m}")
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pick = input(
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f" Select model [1-{len(detected_models)}] or type name: "
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).strip()
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if pick.isdigit() and 1 <= int(pick) <= len(detected_models):
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model_name = detected_models[int(pick) - 1]
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elif pick:
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model_name = pick
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else:
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model_name = input("Model name (e.g. gpt-4, llama-3-70b): ").strip()
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context_length_str = input(
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"Context length in tokens [leave blank for auto-detect]: "
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).strip()
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# Prompt for a display name — shown in the provider menu on future runs
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default_name = _auto_provider_name(effective_url)
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display_name = input(f"Display name [{default_name}]: ").strip() or default_name
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except (KeyboardInterrupt, EOFError):
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print("\nCancelled.")
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return
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context_length = None
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if context_length_str:
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try:
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context_length = int(
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context_length_str.replace(",", "")
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.replace("k", "000")
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.replace("K", "000")
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)
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if context_length <= 0:
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context_length = None
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except ValueError:
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print(f"Invalid context length: {context_length_str} — will auto-detect.")
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context_length = None
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if model_name:
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_save_model_choice(model_name)
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# Update config and deactivate any OAuth provider
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cfg = load_config()
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model = cfg.get("model")
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if not isinstance(model, dict):
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model = {"default": model} if model else {}
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cfg["model"] = model
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model["provider"] = "custom"
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model["base_url"] = effective_url
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if effective_key:
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model["api_key"] = effective_key
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if api_mode:
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model["api_mode"] = api_mode
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else:
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model.pop("api_mode", None)
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save_config(cfg)
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deactivate_provider()
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# Sync the caller's config dict so the setup wizard's final
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# save_config(config) preserves our model settings. Without
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# this, the wizard overwrites model.provider/base_url with
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# the stale values from its own config dict (#4172).
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config["model"] = dict(model)
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print(f"Default model set to: {model_name} (via {effective_url})")
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else:
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if base_url or api_key:
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deactivate_provider()
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# Even without a model name, persist the custom endpoint on the
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# caller's config dict so the setup wizard doesn't lose it.
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_caller_model = config.get("model")
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if not isinstance(_caller_model, dict):
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_caller_model = {"default": _caller_model} if _caller_model else {}
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_caller_model["provider"] = "custom"
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_caller_model["base_url"] = effective_url
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if effective_key:
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_caller_model["api_key"] = effective_key
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if api_mode:
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_caller_model["api_mode"] = api_mode
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else:
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_caller_model.pop("api_mode", None)
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config["model"] = _caller_model
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print("Endpoint saved. Use `/model` in chat or `hermes model` to set a model.")
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# Auto-save to custom_providers so it appears in the menu next time
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_save_custom_provider(
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effective_url,
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effective_key,
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model_name or "",
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context_length=context_length,
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name=display_name,
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api_mode=api_mode,
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)
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def _prompt_custom_api_mode_selection(base_url: str, current_api_mode: str = "") -> Optional[str]:
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@ -11248,6 +11515,24 @@ def cmd_logs(args):
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since=getattr(args, "since", None),
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component=getattr(args, "component", None),
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)
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def _build_provider_choices() -> list[str]:
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"""Build the --provider choices list from CANONICAL_PROVIDERS + 'auto'."""
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try:
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from hermes_cli.models import CANONICAL_PROVIDERS as _cp
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return ["auto"] + [p.slug for p in _cp]
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except Exception:
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# Fallback: static list guarantees the CLI always works
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return [
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"auto", "openrouter", "nous", "openai-codex", "xai-oauth", "copilot-acp", "copilot",
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"anthropic", "gemini", "google-gemini-cli", "google-antigravity", "xai", "bedrock", "azure-foundry",
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"ollama-cloud", "huggingface", "zai", "kimi-coding", "kimi-coding-cn",
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"stepfun", "minimax", "minimax-cn", "kilocode", "novita", "xiaomi", "arcee",
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"nvidia", "deepseek", "alibaba", "qwen-oauth", "opencode-zen", "opencode-go",
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]
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# Top-level subcommands that argparse knows about WITHOUT running plugin
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# discovery. Used to short-circuit eager plugin imports (which can take
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# 500ms+ pulling in google.cloud.pubsub_v1, aiohttp, grpc, etc.) when the
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