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fix: add OpenCode Zen and Go provider support (closes #362) (#392)

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* Add OpenCode Zen and OpenCode Go provider support

The webui model dropdown had no knowledge of these providers.
When hermes_cli detected them as authenticated, they fell through
to the unknown-provider fallback showing wrong models.

Changes:
- Add opencode-zen and opencode-go to _PROVIDER_DISPLAY
- Add model lists for both to _PROVIDER_MODELS
- Add OPENCODE_ZEN_API_KEY and OPENCODE_GO_API_KEY to env-var fallback detection
- Fix custom:* provider IDs (e.g. custom:my-server) displaying raw ID instead of "Custom"

* Add tests for OpenCode provider registration and detection

---------

Co-authored-by: David Case <david.case@shruggr.cloud>
This commit is contained in:
nesquena-hermes
2026-04-13 18:46:11 -07:00
committed by GitHub
parent 2acee7fc34
commit 12a60faaee
2 changed files with 123 additions and 0 deletions
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53
api/config.py
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@@ -448,6 +448,8 @@ _PROVIDER_DISPLAY = {
"huggingface": "HuggingFace",
"alibaba": "Alibaba",
"ollama": "Ollama",
"opencode-zen": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"lmstudio": "LM Studio",
}
@@ -509,6 +511,51 @@ _PROVIDER_MODELS = {
{"id": "claude-sonnet-4.6", "label": "Claude Sonnet 4.6"},
{"id": "gemini-2.5-pro", "label": "Gemini 2.5 Pro"},
],
# OpenCode Zen — curated models via opencode.ai/zen (pay-as-you-go credits)
"opencode-zen": [
{"id": "gpt-5.4-pro", "label": "GPT-5.4 Pro"},
{"id": "gpt-5.4", "label": "GPT-5.4"},
{"id": "gpt-5.4-mini", "label": "GPT-5.4 Mini"},
{"id": "gpt-5.4-nano", "label": "GPT-5.4 Nano"},
{"id": "gpt-5.3-codex", "label": "GPT-5.3 Codex"},
{"id": "gpt-5.3-codex-spark", "label": "GPT-5.3 Codex Spark"},
{"id": "gpt-5.2", "label": "GPT-5.2"},
{"id": "gpt-5.2-codex", "label": "GPT-5.2 Codex"},
{"id": "gpt-5.1", "label": "GPT-5.1"},
{"id": "gpt-5.1-codex", "label": "GPT-5.1 Codex"},
{"id": "gpt-5.1-codex-max", "label": "GPT-5.1 Codex Max"},
{"id": "gpt-5.1-codex-mini", "label": "GPT-5.1 Codex Mini"},
{"id": "gpt-5", "label": "GPT-5"},
{"id": "gpt-5-codex", "label": "GPT-5 Codex"},
{"id": "gpt-5-nano", "label": "GPT-5 Nano"},
{"id": "claude-opus-4-6", "label": "Claude Opus 4.6"},
{"id": "claude-opus-4-5", "label": "Claude Opus 4.5"},
{"id": "claude-opus-4-1", "label": "Claude Opus 4.1"},
{"id": "claude-sonnet-4-6", "label": "Claude Sonnet 4.6"},
{"id": "claude-sonnet-4-5", "label": "Claude Sonnet 4.5"},
{"id": "claude-sonnet-4", "label": "Claude Sonnet 4"},
{"id": "claude-haiku-4-5", "label": "Claude Haiku 4.5"},
{"id": "claude-3-5-haiku", "label": "Claude 3.5 Haiku"},
{"id": "gemini-3.1-pro", "label": "Gemini 3.1 Pro"},
{"id": "gemini-3-flash", "label": "Gemini 3 Flash"},
{"id": "glm-5.1", "label": "GLM-5.1"},
{"id": "glm-5", "label": "GLM-5"},
{"id": "kimi-k2.5", "label": "Kimi K2.5"},
{"id": "minimax-m2.5", "label": "MiniMax M2.5"},
{"id": "minimax-m2.5-free", "label": "MiniMax M2.5 Free"},
{"id": "nemotron-3-super-free", "label": "Nemotron 3 Super Free"},
{"id": "big-pickle", "label": "Big Pickle"},
],
# OpenCode Go — flat-rate models via opencode.ai/go ($10/month)
"opencode-go": [
{"id": "glm-5.1", "label": "GLM-5.1"},
{"id": "glm-5", "label": "GLM-5"},
{"id": "kimi-k2.5", "label": "Kimi K2.5"},
{"id": "mimo-v2-pro", "label": "MiMo V2 Pro"},
{"id": "mimo-v2-omni", "label": "MiMo V2 Omni"},
{"id": "minimax-m2.7", "label": "MiniMax M2.7"},
{"id": "minimax-m2.5", "label": "MiniMax M2.5"},
],
# 'gemini' is the hermes_cli provider ID for Google AI Studio
"gemini": [
{"id": "gemini-2.5-pro", "label": "Gemini 2.5 Pro"},
@@ -710,6 +757,8 @@ def get_available_models() -> dict:
"GLM_API_KEY",
"KIMI_API_KEY",
"DEEPSEEK_API_KEY",
"OPENCODE_ZEN_API_KEY",
"OPENCODE_GO_API_KEY",
):
val = os.getenv(k)
if val:
@@ -730,6 +779,10 @@ def get_available_models() -> dict:
detected_providers.add("minimax")
if all_env.get("DEEPSEEK_API_KEY"):
detected_providers.add("deepseek")
if all_env.get("OPENCODE_ZEN_API_KEY"):
detected_providers.add("opencode-zen")
if all_env.get("OPENCODE_GO_API_KEY"):
detected_providers.add("opencode-go")
# 3. Fetch models from custom endpoint if base_url is configured
auto_detected_models = []