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Add OpenCode Go as a cleanup and agent provider
OpenCode Go serves open coding models from an OpenAI-compatible endpoint. It cannot transcribe, so it joins the two LLM jobs: transcript cleanup and the plain-chat agent. The key falls back to OPENCODE_API_KEY, and api.chat() stops hardcoding the OpenRouter name so the same call serves both.
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@@ -385,6 +385,8 @@ DEFAULTS = {
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"groq_base_url": "https://api.groq.com/openai/v1",
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"openrouter_api_key": "",
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"openrouter_base_url": "https://openrouter.ai/api/v1",
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"opencode_api_key": "",
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"opencode_base_url": "https://opencode.ai/zen/go/v1",
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"transcribe_provider": "local", # "local", or a key of TRANSCRIBERS
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"transcribe_model": "gpt-4o-transcribe", # used when provider is openai
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"groq_transcribe_model": "whisper-large-v3-turbo",
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@@ -410,6 +412,7 @@ DEFAULTS = {
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"cleanup_model": "google/gemini-3.5-flash-lite",
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"cleanup_claude_model": "haiku", # Claude Code: an alias, or a full model id
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"cleanup_codex_model": "", # empty -> whatever Codex is set to
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"cleanup_opencode_model": "deepseek-v4-flash",
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"cleanup_reasoning": "", # empty -> whatever the model does by default
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# --- llama.cpp, on this machine -----------------------------------------
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@@ -488,6 +491,7 @@ DEFAULTS = {
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"assistant_codex_model": "", # empty -> whatever Codex is set to
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"assistant_codex_sandbox": "workspace-write",
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"assistant_openrouter_model": "google/gemini-3.5-flash",
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"assistant_opencode_model": "deepseek-v4-flash",
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"assistant_reasoning": "", # empty -> the model's own default
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"assistant_dir": "", # empty -> the home directory
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"assistant_prompt": "", # empty -> language-specific default
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@@ -589,6 +593,9 @@ class Config:
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def openrouter_key(self):
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return self.api_key("openrouter_api_key")
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def opencode_key(self):
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return self.api_key("opencode_api_key")
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def transcribe_target(self):
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"""Key, endpoint and model for whichever provider does speech to text.
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