chore: update recommended models
This commit is contained in:
bryan
+25
-55
@@ -407,7 +407,7 @@ if [ "$USE_ASSOC_ARRAYS" = true ]; then
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)
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declare -A DEFAULT_MODELS=(
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["anthropic"]="claude-haiku-4-5"
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["anthropic"]="claude-haiku-4-5-20251001"
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["openai"]="gpt-5-mini"
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["gemini"]="gemini-3-flash-preview"
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["groq"]="moonshotai/kimi-k2-instruct-0905"
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@@ -420,12 +420,12 @@ if [ "$USE_ASSOC_ARRAYS" = true ]; then
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# Model choices per provider: composite-key associative arrays
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# Keys: "provider:index" -> value
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declare -A MODEL_CHOICES_ID=(
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["anthropic:0"]="claude-opus-4-6"
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["anthropic:1"]="claude-sonnet-4-5-20250929"
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["anthropic:2"]="claude-sonnet-4-20250514"
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["anthropic:3"]="claude-haiku-4-5-20251001"
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["openai:0"]="gpt-5.2"
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["openai:1"]="gpt-5-mini"
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["anthropic:0"]="claude-haiku-4-5-20251001"
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["anthropic:1"]="claude-sonnet-4-20250514"
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["anthropic:2"]="claude-sonnet-4-5-20250929"
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["anthropic:3"]="claude-opus-4-6"
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["openai:0"]="gpt-5-mini"
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["openai:1"]="gpt-5.2"
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["gemini:0"]="gemini-3-flash-preview"
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["gemini:1"]="gemini-3.1-pro-preview"
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["groq:0"]="moonshotai/kimi-k2-instruct-0905"
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@@ -435,12 +435,12 @@ if [ "$USE_ASSOC_ARRAYS" = true ]; then
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)
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declare -A MODEL_CHOICES_LABEL=(
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["anthropic:0"]="Opus 4.6 - Most capable (recommended)"
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["anthropic:1"]="Sonnet 4.5 - Best balance"
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["anthropic:2"]="Sonnet 4 - Fast + capable"
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["anthropic:3"]="Haiku 4.5 - Fast + cheap"
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["openai:0"]="GPT-5.2 - Most capable (recommended)"
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["openai:1"]="GPT-5 Mini - Fast + cheap"
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["anthropic:0"]="Haiku 4.5 - Fast + cheap (recommended)"
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["anthropic:1"]="Sonnet 4 - Fast + capable"
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["anthropic:2"]="Sonnet 4.5 - Best balance"
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["anthropic:3"]="Opus 4.6 - Most capable"
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["openai:0"]="GPT-5 Mini - Fast + cheap (recommended)"
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["openai:1"]="GPT-5.2 - Most capable"
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["gemini:0"]="Gemini 3 Flash - Fast (recommended)"
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["gemini:1"]="Gemini 3.1 Pro - Best quality"
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["groq:0"]="Kimi K2 - Best quality (recommended)"
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@@ -450,10 +450,10 @@ if [ "$USE_ASSOC_ARRAYS" = true ]; then
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)
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declare -A MODEL_CHOICES_MAXTOKENS=(
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["anthropic:0"]=32768
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["anthropic:1"]=16384
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["anthropic:2"]=8192
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["anthropic:3"]=8192
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["anthropic:0"]=8192
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["anthropic:1"]=8192
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["anthropic:2"]=16384
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["anthropic:3"]=32768
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["openai:0"]=16384
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["openai:1"]=16384
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["gemini:0"]=8192
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@@ -508,7 +508,7 @@ else
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# Default models by provider id (parallel arrays)
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MODEL_PROVIDER_IDS=(anthropic openai gemini groq cerebras mistral together_ai deepseek)
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MODEL_DEFAULTS=("claude-opus-4-6" "gpt-5.2" "gemini-3-flash-preview" "moonshotai/kimi-k2-instruct-0905" "zai-glm-4.7" "mistral-large-latest" "meta-llama/Llama-3.3-70B-Instruct-Turbo" "deepseek-chat")
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MODEL_DEFAULTS=("claude-haiku-4-5-20251001" "gpt-5-mini" "gemini-3-flash-preview" "moonshotai/kimi-k2-instruct-0905" "zai-glm-4.7" "mistral-large-latest" "meta-llama/Llama-3.3-70B-Instruct-Turbo" "deepseek-chat")
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# Helper: get provider display name for an env var
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get_provider_name() {
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@@ -552,9 +552,9 @@ else
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# Model choices per provider - flat parallel arrays with provider offsets
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# Provider order: anthropic(4), openai(2), gemini(2), groq(2), cerebras(2)
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MC_PROVIDERS=(anthropic anthropic anthropic anthropic openai openai gemini gemini groq groq cerebras cerebras)
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MC_IDS=("claude-opus-4-6" "claude-sonnet-4-5-20250929" "claude-sonnet-4-20250514" "claude-haiku-4-5-20251001" "gpt-5.2" "gpt-5-mini" "gemini-3-flash-preview" "gemini-3.1-pro-preview" "moonshotai/kimi-k2-instruct-0905" "openai/gpt-oss-120b" "zai-glm-4.7" "qwen3-235b-a22b-instruct-2507")
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MC_LABELS=("Opus 4.6 - Most capable (recommended)" "Sonnet 4.5 - Best balance" "Sonnet 4 - Fast + capable" "Haiku 4.5 - Fast + cheap" "GPT-5.2 - Most capable (recommended)" "GPT-5 Mini - Fast + cheap" "Gemini 3 Flash - Fast (recommended)" "Gemini 3.1 Pro - Best quality" "Kimi K2 - Best quality (recommended)" "GPT-OSS 120B - Fast reasoning" "ZAI-GLM 4.7 - Best quality (recommended)" "Qwen3 235B - Frontier reasoning")
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MC_MAXTOKENS=(32768 16384 8192 8192 16384 16384 8192 8192 8192 8192 8192 8192)
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MC_IDS=("claude-haiku-4-5-20251001" "claude-sonnet-4-20250514" "claude-sonnet-4-5-20250929" "claude-opus-4-6" "gpt-5-mini" "gpt-5.2" "gemini-3-flash-preview" "gemini-3.1-pro-preview" "moonshotai/kimi-k2-instruct-0905" "openai/gpt-oss-120b" "zai-glm-4.7" "qwen3-235b-a22b-instruct-2507")
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MC_LABELS=("Haiku 4.5 - Fast + cheap (recommended)" "Sonnet 4 - Fast + capable" "Sonnet 4.5 - Best balance" "Opus 4.6 - Most capable" "GPT-5 Mini - Fast + cheap (recommended)" "GPT-5.2 - Most capable" "Gemini 3 Flash - Fast (recommended)" "Gemini 3.1 Pro - Best quality" "Kimi K2 - Best quality (recommended)" "GPT-OSS 120B - Fast reasoning" "ZAI-GLM 4.7 - Best quality (recommended)" "Qwen3 235B - Frontier reasoning")
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MC_MAXTOKENS=(8192 8192 16384 32768 16384 16384 8192 8192 8192 8192 8192 8192)
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# Helper: get number of model choices for a provider
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get_model_choice_count() {
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@@ -1039,52 +1039,22 @@ fi
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echo ""
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# ============================================================
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# Step 4b: Browser Automation (GCU)
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# Step 4b: Browser Automation (GCU) — always enabled
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# ============================================================
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echo -e "${BOLD}Enable browser automation?${NC}"
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echo -e "${DIM}This lets your agents control a real browser — navigate websites, fill forms,${NC}"
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echo -e "${DIM}scrape dynamic pages, and interact with web UIs.${NC}"
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echo ""
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echo -e " ${CYAN}${BOLD}1)${NC} ${BOLD}Yes${NC}"
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echo -e " ${CYAN}2)${NC} No"
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echo ""
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while true; do
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read -r -p "Enter choice (1-2, default 1): " gcu_choice || true
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gcu_choice="${gcu_choice:-1}"
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if [ "$gcu_choice" = "1" ] || [ "$gcu_choice" = "2" ]; then
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break
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fi
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echo -e "${RED}Invalid choice. Please enter 1 or 2${NC}"
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done
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if [ "$gcu_choice" = "1" ]; then
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GCU_ENABLED=true
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echo -e "${GREEN}⬢${NC} Browser automation enabled"
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else
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GCU_ENABLED=false
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echo -e "${DIM}⬡ Browser automation skipped${NC}"
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fi
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echo -e "${GREEN}⬢${NC} Browser automation enabled"
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# Patch gcu_enabled into configuration.json
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if [ "$GCU_ENABLED" = "true" ]; then
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GCU_PY_VAL="True"
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else
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GCU_PY_VAL="False"
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fi
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if [ -f "$HIVE_CONFIG_FILE" ]; then
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uv run python -c "
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import json
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with open('$HIVE_CONFIG_FILE') as f:
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config = json.load(f)
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config['gcu_enabled'] = $GCU_PY_VAL
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config['gcu_enabled'] = True
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with open('$HIVE_CONFIG_FILE', 'w') as f:
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json.dump(config, f, indent=2)
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"
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elif [ "$GCU_ENABLED" = "true" ]; then
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# No config file yet (user skipped LLM provider) — create minimal one
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else
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mkdir -p "$HIVE_CONFIG_DIR"
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uv run python -c "
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import json
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