chore: import upstream snapshot with attribution

plugins/model-providers/opencode-zen/__init__.py

@@ -0,0 +1,147 @@
+"""OpenCode provider profiles (Zen + Go).
+
+Both use per-model api_mode routing:
+  - OpenCode Zen: Claude → anthropic_messages, GPT-5/Codex → codex_responses,
+    everything else → chat_completions (this profile)
+  - OpenCode Go: MiniMax → anthropic_messages, GLM/Kimi → chat_completions
+    (this profile)
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from providers import register_provider
+from providers.base import ProviderProfile
+
+
+def _flat_model_name(model: str | None) -> str:
+    """Return the bare OpenCode model ID, tolerating aggregator prefixes."""
+    return (model or "").strip().rsplit("/", 1)[-1].lower()
+
+
+def _is_kimi_k2_model(model: str | None) -> bool:
+    return _flat_model_name(model).startswith("kimi-k2")
+
+
+def _is_deepseek_thinking_model(model: str | None) -> bool:
+    m = _flat_model_name(model)
+    if m.startswith("deepseek-v") and not m.startswith("deepseek-v3"):
+        return True
+    return m == "deepseek-reasoner"
+
+
+def _is_glm_5_2_model(model: str | None) -> bool:
+    """Detect GLM-5.2 across alias spellings (glm-5.2 / glm-5-2 / glm-5p2)."""
+    m = _flat_model_name(model)
+    return any(token in m for token in ("glm-5.2", "glm-5-2", "glm-5p2"))
+
+
+class OpenCodeGoProfile(ProviderProfile):
+    """OpenCode Go - model-specific reasoning controls."""
+
+    # Per-model completion-token cap. The opencode-go relay's default is
+    # too large for mimo-v2.5-pro — it sends max_tokens=262144 but Xiaomi
+    # only supports 131072 completion tokens and 400s the request.
+    # Setting an explicit cap here prevents the relay default from being
+    # applied. Keys are normalized via _flat_model_name().
+    _MODEL_MAX_TOKENS: dict[str, int] = {
+        "mimo-v2.5-pro": 131072,
+    }
+
+    def get_max_tokens(self, model: str | None) -> int | None:
+        cap = self._MODEL_MAX_TOKENS.get(_flat_model_name(model))
+        if cap is not None:
+            return cap
+        return self.default_max_tokens
+
+    def build_api_kwargs_extras(
+        self, *, reasoning_config: dict | None = None, model: str | None = None, **context
+    ) -> tuple[dict[str, Any], dict[str, Any]]:
+        extra_body: dict[str, Any] = {}
+        top_level: dict[str, Any] = {}
+
+        if _is_glm_5_2_model(model):
+            # GLM-5.2 on OpenCode Go uses its native OpenAI-compatible
+            # reasoning_effort knob, which has exactly two enabled levels:
+            # high and max. Map Hermes' richer scale onto those; leave the
+            # server default alone when reasoning is disabled or unset.
+            if not isinstance(reasoning_config, dict):
+                return extra_body, top_level
+            if reasoning_config.get("enabled") is False:
+                return extra_body, top_level
+            effort = (reasoning_config.get("effort") or "").strip().lower()
+            if not effort or effort == "none":
+                return extra_body, top_level
+            top_level["reasoning_effort"] = "max" if effort in {"xhigh", "max", "ultra"} else "high"
+            return extra_body, top_level
+
+        if _is_kimi_k2_model(model):
+            # Kimi K2 on OpenCode Go uses Moonshot's native wire shape:
+            # extra_body.thinking (binary toggle) + top-level reasoning_effort
+            # (low|medium|high). Mirrors the KimiProfile (api.moonshot.ai/v1).
+            if not isinstance(reasoning_config, dict):
+                # No config → leave server defaults alone.
+                return extra_body, top_level
+
+            enabled = reasoning_config.get("enabled") is not False
+            if not enabled:
+                extra_body["thinking"] = {"type": "disabled"}
+                return extra_body, top_level
+
+            effort = (reasoning_config.get("effort") or "").strip().lower()
+            if effort in {"xhigh", "max", "ultra"}:
+                top_level["reasoning_effort"] = "high"
+            elif effort in {"low", "medium", "high"}:
+                top_level["reasoning_effort"] = effort
+
+            # Avoid "cannot specify both 'thinking' and 'reasoning_effort'" HTTP 400:
+            # only send extra_body["thinking"] when no reasoning_effort is set.
+            if "reasoning_effort" not in top_level:
+                extra_body["thinking"] = {"type": "enabled"}
+            return extra_body, top_level
+
+        if not _is_deepseek_thinking_model(model):
+            return extra_body, top_level
+
+        enabled = True
+        if isinstance(reasoning_config, dict) and reasoning_config.get("enabled") is False:
+            enabled = False
+
+        if not enabled:
+            extra_body["thinking"] = {"type": "disabled"}
+            return extra_body, top_level
+
+        if isinstance(reasoning_config, dict):
+            effort = (reasoning_config.get("effort") or "").strip().lower()
+            if effort in {"xhigh", "max", "ultra"}:
+                top_level["reasoning_effort"] = "max"
+            elif effort in {"low", "medium", "high"}:
+                top_level["reasoning_effort"] = effort
+
+        # Avoid "cannot specify both 'thinking' and 'reasoning_effort'" HTTP 400:
+        # only send extra_body["thinking"] when no reasoning_effort is set.
+        if "reasoning_effort" not in top_level:
+            extra_body["thinking"] = {"type": "enabled"}
+
+        return extra_body, top_level
+
+
+opencode_zen = ProviderProfile(
+    name="opencode-zen",
+    aliases=("opencode", "opencode_zen", "zen"),
+    env_vars=("OPENCODE_ZEN_API_KEY",),
+    base_url="https://opencode.ai/zen/v1",
+    default_aux_model="gemini-3-flash",
+)
+
+opencode_go = OpenCodeGoProfile(
+    name="opencode-go",
+    aliases=("opencode_go", "go", "opencode-go-sub"),
+    env_vars=("OPENCODE_GO_API_KEY",),
+    base_url="https://opencode.ai/zen/go/v1",
+    default_aux_model="glm-5",
+)
+
+register_provider(opencode_zen)
+register_provider(opencode_go)

plugins/model-providers/opencode-zen/plugin.yaml

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+name: opencode-zen-provider
+kind: model-provider
+version: 1.0.0
+description: OpenCode (Zen + Go)
+author: Nous Research