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feat(models): add gemini-3.7-flash and gemini-3.8-flash support

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- Generalize Gemini 3 thinking config model prefix match to gemini-3*
- Add pricing snapshot entries for gemini-3.7-flash and gemini-3.8-flash
- Add model identifiers to Google, OpenRouter, and Vertex CLI lists
- Add test coverage for gemini-3.8-flash thinkingLevel configuration
This commit is contained in:
tylman
2026-09-02 22:38:59 -07:00
committed by Teknium
parent 91b4d9fb67
commit b0adce1cbf
5 changed files with 26 additions and 5 deletions
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6
agent/transports/chat_completions.py
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@@ -146,8 +146,10 @@ def _build_gemini_thinking_config(model: str, reasoning_config: dict | None) ->
return thinking_config
if effort not in {"minimal", "low", "medium", "high", "xhigh", "max", "ultra"}:
effort = "medium"
# Gemini 3 Flash documents low/medium/high; Gemini 3 Pro only low/high.
if normalized_model.startswith(("gemini-3", "gemini-3.1")):
# Gemini 3 Flash documents low/medium/high thinking levels; Gemini 3 Pro
# is stricter (low/high). Clamp Hermes' wider effort set to what each
# family accepts so we never forward an undocumented level verbatim.
if normalized_model.startswith("gemini-3"):
if "flash" in normalized_model:
thinking_config["thinkingLevel"] = (
"low" if effort in {"minimal", "low"} else "high" if effort in _HIGH_EFFORTS else "medium"

3
agent/usage_pricing.py
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@@ -191,6 +191,9 @@ _SNAPSHOTS: tuple[tuple[str, Optional[str], str, dict], ...] = (
("deepseek-chat", "deepseek-reasoner", "deepseek-v4-flash"): ("0.14", "0.28", "0.0028"),
"deepseek-v4-pro": ("0.435", "0.87", "0.003625"),
}),
("google", "https://ai.google.dev/gemini-api/docs/pricing", "google-pricing-2026-09-02", {
("gemini-3.8-flash", "gemini-3.7-flash"): ("0.75", "3.75", "0.075"),
}),
("google", "https://ai.google.dev/gemini-api/docs/pricing", "google-pricing-2026-07-28", {
"gemini-3.6-flash": ("1.50", "7.50", "0.15"), "gemini-3.5-flash-lite": ("0.30", "2.50", "0.03"),
}),

6
hermes_cli/models_catalog_static.py
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@@ -170,6 +170,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gemini-3.1-pro-preview", "gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-2.5-pro",
],
"gemini": [
"gemini-3.8-flash", "gemini-3.7-flash",
"gemini-3.1-pro-preview", "gemini-3-pro-preview", "gemini-3.6-flash", "gemini-3.1-flash-lite-preview",
],
"zai": [
@@ -222,8 +223,8 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gpt-5.3-codex-spark", "gpt-5.2", "gpt-5.2-codex", "gpt-5.1", "gpt-5.1-codex", "gpt-5.1-codex-max",
"gpt-5.1-codex-mini", "gpt-5", "gpt-5-codex", "gpt-5-nano", "claude-fable-5", "claude-opus-5",
"claude-sonnet-5", "claude-opus-4-8", "claude-opus-4-7", "claude-opus-4-6", "claude-opus-4-5",
"claude-sonnet-4-6", "claude-sonnet-4-5", "claude-sonnet-4", "claude-haiku-4-5", "gemini-3.7-flash",
"gemini-3.6-flash", "gemini-3.5-flash", "gemini-3.5-flash-lite", "gemini-3.1-pro", "gemini-3-flash",
"claude-sonnet-4-6", "claude-sonnet-4-5", "claude-sonnet-4", "claude-haiku-4-5", "gemini-3.8-flash",
"gemini-3.7-flash", "gemini-3.6-flash", "gemini-3.5-flash", "gemini-3.5-flash-lite", "gemini-3.1-pro", "gemini-3-flash",
"grok-4.6", "grok-4.5", "grok-build-0.1", "muse-spark-1.2", "minimax-m3", "minimax-m2.7", "minimax-m2.5",
"glm-5.3", "glm-5.3-flash", "glm-5.2", "glm-5.1", "glm-5", "kimi-k2.7-code", "deepseek-v4-pro",
"deepseek-v4-flash", "deepseek-v4-flash-free", "qwen3.6-plus", "qwen3.5-plus", "big-pickle", "mimo-v2.5-free",
@@ -280,6 +281,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
# only shows the configured model. IDs carry the "google/" publisher prefix Vertex expects
# (see hermes_cli/model_setup_flows.py); validated live against a GCP project (global region).
"vertex": [
"google/gemini-3.8-flash", "google/gemini-3.7-flash",
"google/gemini-3.1-pro-preview", "google/gemini-3-pro-preview", "google/gemini-3.6-flash",
"google/gemini-3.5-flash", "google/gemini-3.5-flash-lite", "google/gemini-3-flash-preview",
"google/gemini-3.1-flash-lite-preview", "google/gemini-3.1-flash-lite",

2
plugins/model-providers/openrouter/__init__.py
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@@ -201,7 +201,7 @@ openrouter = OpenRouterProfile(
base_url="https://openrouter.ai/api/v1", models_url="https://openrouter.ai/api/v1/models",
fallback_models=(
"anthropic/claude-sonnet-4.6", "openai/gpt-5.4", "deepseek/deepseek-chat", "google/gemini-3.8-flash",
"qwen/qwen3-plus",
"google/gemini-3.7-flash", "qwen/qwen3-plus",
),
)

14
tests/agent/transports/test_chat_completions.py
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@@ -393,6 +393,20 @@ class TestChatCompletionsBuildKwargs:
assert kw["max_tokens"] == GEMINI_DEFAULT_MAX_OUTPUT_TOKENS
assert kw["extra_body"]["thinking_config"]["thinkingLevel"] == "high"
# Also verify gemini-3.8-flash gets headroom and correct thinking level
kw38 = transport.build_kwargs(
model="gemini-3.8-flash",
messages=[{"role": "user", "content": "Hi"}],
provider_profile=profile,
provider_name="gemini",
base_url=profile.base_url,
max_tokens=4096,
max_tokens_param_fn=lambda n: {"max_tokens": n},
reasoning_config={"enabled": True, "effort": "medium"},
)
assert kw38["max_tokens"] == GEMINI_DEFAULT_MAX_OUTPUT_TOKENS
assert kw38["extra_body"]["thinking_config"]["thinkingLevel"] == "medium"
def test_gemini_without_thinking_keeps_explicit_max_tokens(self, transport):
from providers import get_provider_profile