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510 lines
13 KiB
Bash
510 lines
13 KiB
Bash
#!/usr/bin/env bash
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set -e
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# @meta dotenv
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# @env DRY_RUN Dry run mode
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# @cmd Test first running
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# @env AICHAT_CONFIG_DIR=tmp/test-init-config
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# @arg args~
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test-init-config() {
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unset OPENAI_API_KEY
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mkdir -p "$AICHAT_CONFIG_DIR"
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config_file="$AICHAT_CONFIG_DIR/config.yaml"
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if [[ -f "$config_file" ]]; then
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rm -f "$config_file"
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fi
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cargo run -- "$@"
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}
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# @cmd Test running with AICHAT_PLATFORM environment variable
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# @env AICHAT_PLATFORM!
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# @arg args~
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test-platform-env() {
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cargo run -- "$@"
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}
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# @cmd Test clients
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# @arg clients+[`_choice_client`]
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test-clients() {
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for c in "${argc_clients[@]}"; do
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echo "### $c stream"
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aichat -m "$c" 1 + 2 = ?
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echo "### $c non-stream"
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aichat -m "$c" -S 1 + 2 = ?
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done
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}
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# @cmd Test proxy server
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# @option -m --model[`_choice_model`]
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# @flag -S --no-stream
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# @arg text~
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test-server() {
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args=()
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if [[ -n "$argc_no_stream" ]]; then
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args+=("-S")
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fi
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argc chat-llm "${args[@]}" \
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--api-base http://localhost:8000/v1 \
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--model "${argc_model:-default}" \
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"$@"
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}
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OPENAI_COMPATIBLE_PLATFORMS=( \
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openai,gpt-3.5-turbo,https://api.openai.com/v1 \
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anyscale,meta-llama/Meta-Llama-3-8B-Instruct,https://api.endpoints.anyscale.com/v1 \
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deepinfra,meta-llama/Meta-Llama-3-8B-Instruct,https://api.deepinfra.com/v1/openai \
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deepseek,deepseek-chat,https://api.deepseek.com \
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fireworks,accounts/fireworks/models/llama-v3-8b-instruct,https://api.fireworks.ai/inference/v1 \
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groq,llama3-8b-8192,https://api.groq.com/openai/v1 \
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mistral,mistral-small-latest,https://api.mistral.ai/v1 \
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moonshot,moonshot-v1-8k,https://api.moonshot.cn/v1 \
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openrouter,meta-llama/llama-3-8b-instruct,https://openrouter.ai/api/v1 \
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octoai,meta-llama-3-8b-instruct,https://text.octoai.run/v1 \
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perplexity,llama-3-8b-instruct,https://api.perplexity.ai \
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together,meta-llama/Llama-3-8b-chat-hf,https://api.together.xyz/v1 \
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zhipuai,glm-4,https://open.bigmodel.cn/api/paas/v4 \
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)
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# @cmd Chat with any LLM api
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# @flag -S --no-stream
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# @arg platform_model![?`_choice_platform_model`]
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# @arg text~
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chat() {
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if [[ "$argc_platform_model" == *':'* ]]; then
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model="${argc_platform_model##*:}"
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argc_platform="${argc_platform_model%:*}"
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else
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argc_platform="${argc_platform_model}"
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fi
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for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
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if [[ "$argc_platform" == "${platform_config%%,*}" ]]; then
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api_base="${platform_config##*,}"
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break
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fi
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done
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if [[ -n "$api_base" ]]; then
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env_prefix="$(echo "$argc_platform" | tr '[:lower:]' '[:upper:]')"
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api_key_env="${env_prefix}_API_KEY"
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api_key="${!api_key_env}"
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if [[ -z "$model" ]]; then
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model="$(echo "$platform_config" | cut -d, -f2)"
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fi
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if [[ -z "$model" ]]; then
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model_env="${env_prefix}_MODEL"
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model="${!model_env}"
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fi
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argc chat-openai-compatible \
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--api-base "$api_base" \
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--api-key "$api_key" \
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--model "$model" \
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"${argc_text[@]}"
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else
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argc chat-$argc_platform "${argc_text[@]}"
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fi
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}
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# @cmd List models by openai-compatible api
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# @arg platform![`_choice_platform`]
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models() {
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for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
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if [[ "$argc_platform" == "${platform_config%%,*}" ]]; then
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api_base="${platform_config##*,}"
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break
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fi
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done
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if [[ -n "$api_base" ]]; then
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env_prefix="$(echo "$argc_platform" | tr '[:lower:]' '[:upper:]')"
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api_key_env="${env_prefix}_API_KEY"
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api_key="${!api_key_env}"
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_openai_models
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else
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argc models-$argc_platform
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fi
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}
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# @cmd Chat with openai-compatible api
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# @option --api-base! $$
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# @option --api-key! $$
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# @option -m --model! $$
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# @flag -S --no-stream
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# @arg text~
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chat-openai-compatible() {
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_openai_chat "$@"
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}
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# @cmd List models by openai-compatible api
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# @option --api-base! $$
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# @option --api-key! $$
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models-openai-compatible() {
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_openai_models
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}
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# @cmd Chat with gemini api
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# @env GEMINI_API_KEY!
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# @option -m --model=gemini-1.0-pro-latest $GEMINI_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-gemini() {
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method="streamGenerateContent"
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if [[ -n "$argc_no_stream" ]]; then
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method="generateContent"
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fi
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_wrapper curl -i "https://generativelanguage.googleapis.com/v1beta/models/${argc_model}:${method}?key=${GEMINI_API_KEY}" \
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-i -X POST \
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-H 'Content-Type: application/json' \
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-d '{
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"safetySettings":[{"category":"HARM_CATEGORY_HARASSMENT","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_HATE_SPEECH","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_SEXUALLY_EXPLICIT","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_DANGEROUS_CONTENT","threshold":"BLOCK_ONLY_HIGH"}],
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"contents": '"$(_build_msg_gemini $*)"'
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}'
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}
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# @cmd List gemini models
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# @env GEMINI_API_KEY!
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models-gemini() {
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_wrapper curl "https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}" \
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-H 'Content-Type: application/json' \
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}
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# @cmd Chat with claude api
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# @env CLAUDE_API_KEY!
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# @option -m --model=claude-3-haiku-20240307 $CLAUDE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-claude() {
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_wrapper curl -i https://api.anthropic.com/v1/messages \
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-X POST \
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-H 'content-type: application/json' \
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-H 'anthropic-version: 2023-06-01' \
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-H "x-api-key: $CLAUDE_API_KEY" \
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-d '{
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"model": "'$argc_model'",
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"messages": '"$(_build_msg $*)"',
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"max_tokens": 4096,
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"stream": '$stream'
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}
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'
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}
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# @cmd Chat with cohere api
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# @env COHERE_API_KEY!
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# @option -m --model=command-r $COHERE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-cohere() {
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_wrapper curl -i https://api.cohere.ai/v1/chat \
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-X POST \
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-H 'Content-Type: application/json' \
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-H "Authorization: Bearer $COHERE_API_KEY" \
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--data '{
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"model": "'$argc_model'",
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"message": "'"$*"'",
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"stream": '$stream'
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}
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'
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}
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# @cmd List cohere models
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# @env COHERE_API_KEY!
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models-cohere() {
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_wrapper curl https://api.cohere.ai/v1/models \
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-H "Authorization: Bearer $COHERE_API_KEY" \
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}
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# @cmd Chat with ollama api
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# @option -m --model=codegemma $OLLAMA_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-ollama() {
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_wrapper curl -i http://localhost:11434/api/chat \
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-X POST \
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-H 'Content-Type: application/json' \
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-d '{
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"model": "'$argc_model'",
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"stream": '$stream',
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"messages": '"$(_build_msg $*)"'
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}'
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}
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# @cmd Chat with vertexai api
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# @env require-tools gcloud
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# @env VERTEXAI_PROJECT_ID!
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# @env VERTEXAI_LOCATION!
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# @option -m --model=gemini-1.0-pro $VERTEXAI_GEMINI_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-vertexai() {
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api_key="$(gcloud auth print-access-token)"
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func="streamGenerateContent"
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if [[ -n "$argc_no_stream" ]]; then
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func="generateContent"
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fi
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url=https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/google/models/$argc_model:$func
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_wrapper curl -i $url \
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-X POST \
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-H "Authorization: Bearer $api_key" \
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-H 'Content-Type: application/json' \
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-d '{
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"contents": '"$(_build_msg_gemini $*)"',
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"generationConfig": {}
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}'
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}
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# @cmd Chat with vertexai-claude api
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# @env require-tools gcloud
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# @env VERTEXAI_PROJECT_ID!
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# @env VERTEXAI_LOCATION!
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# @option -m --model=claude-3-haiku@20240307 $VERTEXAI_CLAUDE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-vertexai-claude() {
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api_key="$(gcloud auth print-access-token)"
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url=https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/anthropic/models/$argc_model:streamRawPredict
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_wrapper curl -i $url \
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-X POST \
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-H "Authorization: Bearer $api_key" \
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-H 'Content-Type: application/json' \
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-d '{
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"anthropic_version": "vertex-2023-10-16",
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"messages": '"$(_build_msg $*)"',
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"max_tokens": 4096,
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"stream": '$stream'
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}'
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}
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# @cmd Chat with bedrock api
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# @meta require-tools aws
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# @option -m --model=mistral.mistral-7b-instruct-v0:2 $BEDROCK_MODEL
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# @env AWS_REGION=us-east-1
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chat-bedrock() {
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file="$(mktemp)"
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case "$argc_model" in
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mistral.* | meta.*)
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body='{"prompt":"'"$*"'"}'
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;;
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anthropic.*)
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body='{
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"anthropic_version": "vertex-2023-10-16",
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"messages": '"$(_build_msg $*)"',
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"max_tokens": 4096
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}'
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;;
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*)
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_die "Invalid model: $argc_model"
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;;
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esac
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_wrapper aws bedrock-runtime invoke-model \
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--model-id $argc_model \
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--region $AWS_REGION \
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--body "$(echo "$body" | base64)" \
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"$file"
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cat "$file"
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}
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# @cmd Chat with cloudflare api
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# @env CLOUDFLARE_API_KEY!
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# @option -m --model=@cf/meta/llama-3-8b-instruct $CLOUDFLARE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-cloudflare() {
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url="https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/$argc_model"
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_wrapper curl -i "$url" \
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-X POST \
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-H "Authorization: Bearer $CLOUDFLARE_API_KEY" \
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-d '{
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"messages": '"$(_build_msg $*)"',
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"stream": '$stream'
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}'
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}
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# @cmd Chat with replicate api
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# @env REPLICATE_API_KEY!
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# @option -m --model=meta/meta-llama-3-8b-instruct $REPLICATE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-replicate() {
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url="https://api.replicate.com/v1/models/$argc_model/predictions"
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res="$(_wrapper curl -s "$url" \
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-X POST \
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-H "Authorization: Bearer $REPLICATE_API_KEY" \
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-H "Content-Type: application/json" \
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-d '{
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"stream": '$stream',
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"input": {
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"prompt": "'"$*"'"
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}
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}')"
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echo "$res"
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if [[ -n "$argc_no_stream" ]]; then
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prediction_url="$(echo "$res" | jq -r '.urls.get')"
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while true; do
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output="$(_wrapper curl -s -H "Authorization: Bearer $REPLICATE_API_KEY" "$prediction_url")"
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prediction_status=$(printf "%s" "$output" | jq -r .status)
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if [ "$prediction_status"=="succeeded" ]; then
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echo "$output"
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break
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fi
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if [ "$prediction_status"=="failed" ]; then
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exit 1
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fi
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sleep 2
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done
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else
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stream_url="$(echo "$res" | jq -r '.urls.stream')"
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_wrapper curl -i --no-buffer "$stream_url" \
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-H "Accept: text/event-stream" \
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fi
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}
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# @cmd Chat with ernie api
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# @meta require-tools jq
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# @env ERNIE_API_KEY!
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# @option -m --model=ernie-tiny-8k $ERNIE_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-ernie() {
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auth_url="https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=$ERNIE_API_KEY&client_secret=$ERNIE_SECRET_KEY"
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ACCESS_TOKEN="$(curl -fsSL "$auth_url" | jq -r '.access_token')"
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url="https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/$argc_model?access_token=$ACCESS_TOKEN"
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_wrapper curl -i "$url" \
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-X POST \
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-d '{
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"messages": '"$(_build_msg $*)"',
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"stream": '$stream'
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}'
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}
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# @cmd Chat with qianwen api
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# @env QIANWEN_API_KEY!
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# @option -m --model=qwen-turbo $QIANWEN_MODEL
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# @flag -S --no-stream
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# @arg text~
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chat-qianwen() {
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stream_args="-H X-DashScope-SSE:enable"
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parameters_args='{"incremental_output": true}'
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if [[ -n "$argc_no_stream" ]]; then
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stream_args=""
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parameters_args='{}'
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fi
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url=https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation
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_wrapper curl -i "$url" \
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-X POST \
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-H "Authorization: Bearer $QIANWEN_API_KEY" \
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-H 'Content-Type: application/json' $stream_args \
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-d '{
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"model": "'$argc_model'",
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"parameters": '"$parameters_args"',
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"input":{
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"messages": '"$(_build_msg $*)"'
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}
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}'
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}
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_argc_before() {
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stream="true"
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if [[ -n "$argc_no_stream" ]]; then
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stream="false"
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fi
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}
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_openai_chat() {
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api_base="${api_base:-"$argc_api_base"}"
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api_key="${api_key:-"$argc_api_key"}"
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_wrapper curl -i $curl_args "$api_base/chat/completions" \
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-X POST \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer $api_key" \
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--data '{
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"model": "'$argc_model'",
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"messages": '"$(_build_msg $*)"',
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"stream": '$stream'
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}
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'
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}
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_openai_models() {
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api_base="${api_base:-"$argc_api_base"}"
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api_key="${api_key:-"$argc_api_key"}"
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_wrapper curl $curl_args "$api_base/models" \
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-H "Authorization: Bearer $api_key" \
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}
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_choice_model() {
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aichat --list-models
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}
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_choice_platform_model() {
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_choice_platform
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_choice_model
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}
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_choice_platform() {
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_choice_client
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_choice_openai_compatible_platform
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}
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_choice_client() {
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printf "%s\n" openai gemini claude cohere ollama azure-openai vertexai bedrock cloudflare replicate ernie qianwen moonshot
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}
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_choice_openai_compatible_platform() {
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for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
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echo "${platform_config%%,*}"
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done
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}
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_build_msg() {
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if [[ $# -eq 0 ]]; then
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cat tmp/messages.json
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else
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echo '
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[
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{
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"role": "user",
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"content": "'"$*"'"
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}
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]
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'
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fi
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}
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_build_msg_gemini() {
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|
if [[ $# -eq 0 ]]; then
|
|
cat tmp/messages.gemini.json
|
|
else
|
|
echo '
|
|
[{
|
|
"role": "user",
|
|
"parts": [
|
|
{
|
|
"text": "'"$*"'"
|
|
}
|
|
]
|
|
}]
|
|
'
|
|
fi
|
|
}
|
|
|
|
_wrapper() {
|
|
if [[ "$DRY_RUN" == "true" ]] || [[ "$DRY_RUN" == "1" ]]; then
|
|
echo "$@"
|
|
else
|
|
"$@"
|
|
fi
|
|
}
|
|
|
|
_die() {
|
|
echo $*
|
|
exit 1
|
|
}
|
|
|
|
# See more details at https://github.com/sigoden/argc
|
|
eval "$(argc --argc-eval "$0" "$@")"
|