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feat: scroll aware sticky prompt

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This commit is contained in:
Brooklyn Nicholson
2026-04-14 11:49:32 -05:00
parent c189d5e98b 16f9d02084
commit 9a3a2925ed
141 changed files with 8867 additions and 829 deletions
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52
hermes_cli/models.py
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@@ -29,6 +29,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("qwen/qwen3.6-plus", ""),
("anthropic/claude-sonnet-4.5", ""),
("anthropic/claude-haiku-4.5", ""),
("openrouter/elephant-alpha", "free"),
("openai/gpt-5.4", ""),
("openai/gpt-5.4-mini", ""),
("xiaomi/mimo-v2-pro", ""),
@@ -97,6 +98,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"arcee-ai/trinity-large-thinking",
"openai/gpt-5.4-pro",
"openai/gpt-5.4-nano",
"openrouter/elephant-alpha",
],
"openai-codex": _codex_curated_models(),
"copilot-acp": [
@@ -512,6 +514,7 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
ProviderEntry("copilot-acp", "GitHub Copilot ACP", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
@@ -525,12 +528,11 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("minimax", "MiniMax", "MiniMax (global direct API)"),
ProviderEntry("minimax-cn", "MiniMax (China)", "MiniMax China (domestic direct API)"),
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("arcee", "Arcee AI", "Arcee AI (Trinity models — direct API)"),
ProviderEntry("kilocode", "Kilo Code", "Kilo Code (Kilo Gateway API)"),
ProviderEntry("opencode-zen", "OpenCode Zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
ProviderEntry("opencode-go", "OpenCode Go", "OpenCode Go (open models, $10/month subscription)"),
ProviderEntry("ai-gateway", "AI Gateway", "AI Gateway (Vercel — 200+ models, pay-per-use)"),
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, pay-per-use)"),
]
# Derived dicts — used throughout the codebase
@@ -1818,6 +1820,17 @@ def validate_requested_model(
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1869,6 +1882,16 @@ def validate_requested_model(
"recognized": True,
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, codex_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested_for_lookup, codex_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1895,10 +1918,27 @@ def validate_requested_model(
"recognized": True,
"message": None,
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
else:
# API responded but model is not listed. Accept anyway —
# the user may have access to models not shown in the public
# listing (e.g. Z.AI Pro/Max plans can use glm-5 on coding
# endpoints even though it's not in /models). Warn but allow.
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
return {
"accepted": False,