diff options
| -rw-r--r-- | assets/roles/%create-prompt%.md | 8 | ||||
| -rw-r--r-- | models.yaml | 51 | ||||
| -rw-r--r-- | src/main.rs | 8 |
3 files changed, 35 insertions, 32 deletions
diff --git a/assets/roles/%create-prompt%.md b/assets/roles/%create-prompt%.md index db80d24..06775a6 100644 --- a/assets/roles/%create-prompt%.md +++ b/assets/roles/%create-prompt%.md @@ -18,6 +18,8 @@ Your output format should include: - **Examples**: Show a case of input and output that fits the scenario. Your workflow should be: -1. **Analyze User Input**: Extract key information from user requests to determine design objectives. -2. **Conceive New Prompts**: Based on user needs, create prompts that meet requirements, with each part being professional and detailed. -3. **Generate Output**: Must only output the newly generated and optimized prompts, without explanation, and without wrapping it in markdown code block.
\ No newline at end of file +1. Extract key information from user requests to determine design objectives. +2. Based on user needs, create prompts that meet requirements, with each part being professional and detailed. +3. Must only output the newly generated and optimized prompts, without explanation, without wrapping it in markdown code block. + +My first request is: __INPUT__ diff --git a/models.yaml b/models.yaml index c492a11..db18821 100644 --- a/models.yaml +++ b/models.yaml @@ -607,8 +607,8 @@ supports_function_calling: true - name: ernie-4.0-8k-preview max_input_tokens: 8192 - input_price: 16.8 - output_price: 16.8 + input_price: 5.6 + output_price: 11.2 supports_function_calling: true - name: ernie-3.5-8k-preview max_input_tokens: 8192 @@ -736,6 +736,11 @@ input_price: 7 output_price: 7 supports_function_calling: true + - name: glm-4-alltools + max_input_tokens: 2048 + input_price: 14 + output_price: 14 + supports_function_calling: true - name: glm-4-0520 max_input_tokens: 128000 input_price: 14 @@ -746,11 +751,6 @@ input_price: 0.14 output_price: 0.14 supports_function_calling: true - - name: glm-4-alltools - max_input_tokens: 2048 - input_price: 14 - output_price: 14 - supports_function_calling: true - name: glm-4-flash max_input_tokens: 128000 input_price: 0 @@ -761,11 +761,6 @@ input_price: 1.4 output_price: 1.4 supports_vision: true - - name: glm-4v - max_input_tokens: 2048 - input_price: 7 - output_price: 7 - supports_vision: true - name: embedding-3 type: embedding max_input_tokens: 8192 @@ -855,10 +850,6 @@ - name: cohere-command-r max_input_tokens: 128000 supports_function_calling: true - - name: phi-3-medium-128k-instruct - max_input_tokens: 128000 - - name: phi-3-mini-128k-instruct - max_input_tokens: 128000 - name: cohere-embed-v3-english type: embedding max_tokens_per_chunk: 512 @@ -869,6 +860,16 @@ max_tokens_per_chunk: 512 default_chunk_size: 1000 max_batch_size: 96 + - name: ai21-jamba-1.5-large + max_input_tokens: 256000 + supports_function_calling: true + - name: ai21-jamba-1.5-mini + max_input_tokens: 256000 + supports_function_calling: true + - name: phi-3.5-mini-instruct + max_input_tokens: 128000 + - name: phi-3-medium-128k-instruct + max_input_tokens: 128000 # Links: # - https://deepinfra.com/models @@ -1313,7 +1314,7 @@ max_input_tokens: 8192 input_price: 0 output_price: 0 - - name: deepseek-ai/DeepSeek-V2-Chat + - name: deepseek-ai/DeepSeek-V2.5 max_input_tokens: 32768 input_price: 0.186 output_price: 0.186 @@ -1394,44 +1395,44 @@ models: - name: jina-clip-v1 type: embedding - input_price: 0.02 + input_price: 0 max_tokens_per_chunk: 8192 default_chunk_size: 1500 max_batch_size: 100 - name: jina-embeddings-v2-base-en type: embedding - input_price: 0.02 + input_price: 0 max_tokens_per_chunk: 8192 default_chunk_size: 1500 max_batch_size: 100 - name: jina-embeddings-v2-base-zh type: embedding - input_price: 0.02 + input_price: 0 max_tokens_per_chunk: 8192 default_chunk_size: 1500 max_batch_size: 100 - name: jina-colbert-v2 type: embedding - input_price: 0.02 + input_price: 0 max_tokens_per_chunk: 8192 default_chunk_size: 1500 max_batch_size: 100 - name: jina-reranker-v2-base-multilingual type: reranker max_input_tokens: 1024 - input_price: 0.02 + input_price: 0 - name: jina-reranker-v1-turbo-en type: reranker max_input_tokens: 8192 - input_price: 0.02 + input_price: 0 - name: jina-reranker-v1-base-en type: reranker max_input_tokens: 8192 - input_price: 0.02 + input_price: 0 - name: jina-colbert-v2 type: reranker max_input_tokens: 8192 - input_price: 0.02 + input_price: 0 # Links: # - https://docs.voyageai.com/docs/embeddings diff --git a/src/main.rs b/src/main.rs index 7b39b9e..485b05d 100644 --- a/src/main.rs +++ b/src/main.rs @@ -241,25 +241,25 @@ async fn shell_execute(config: &GlobalConfig, shell: &Shell, mut input: Input) - loop { let answer = Select::new( eval_str.trim(), - vec!["Execute", "Revise", "Explain", "Cancel"], + vec!["✅ Execute", "🔄 Revise", "📖 Explain", "❌ Cancel"], ) .prompt()?; match answer { - "Execute" => { + "✅ Execute" => { debug!("{} {:?}", shell.cmd, &[&shell.arg, &eval_str]); let code = run_command(&shell.cmd, &[&shell.arg, &eval_str], None)?; if code != 0 { process::exit(code); } } - "Revise" => { + "🔄 Revise" => { let revision = Text::new("Enter your revision:").prompt()?; let text = format!("{}\n{revision}", input.text()); input.set_text(text); return shell_execute(config, shell, input).await; } - "Explain" => { + "📖 Explain" => { let role = config.read().retrieve_role(EXPLAIN_SHELL_ROLE)?; let input = Input::from_str(config, &eval_str, Some(role)); let abort = create_abort_signal(); |