use fabro_test::{fabro_snapshot, test_context}; #[test] fn help() { let context = test_context!(); let mut cmd = context.model(); cmd.arg("--help"); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- List and test LLM models Usage: fabro model [OPTIONS] [COMMAND] Commands: list List available models test Test model availability by sending a simple prompt help Print this message or the help of the given subcommand(s) Options: --json Output as JSON [env: FABRO_JSON=] --debug Enable DEBUG-level logging (default is INFO) [env: FABRO_DEBUG=] --no-upgrade-check Disable automatic upgrade check [env: FABRO_NO_UPGRADE_CHECK=true] --quiet Suppress non-essential output [env: FABRO_QUIET=] --verbose Enable verbose output [env: FABRO_VERBOSE=] --storage-dir Storage directory (default: ~/.fabro) [env: FABRO_STORAGE_DIR=[STORAGE_DIR]] -h, --help Print help ----- stderr ----- "); } #[test] fn bare() { let context = test_context!(); fabro_snapshot!(context.filters(), context.model(), @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED claude-opus-4-6 anthropic opus, claude-opus 1m $15.0 / $75.0 25 tok/s claude-sonnet-4-5 anthropic 200k $3.0 / $15.0 50 tok/s claude-sonnet-4-6 anthropic sonnet, claude-sonnet 200k $3.0 / $15.0 50 tok/s claude-haiku-4-5 anthropic haiku, claude-haiku 200k $0.8 / $4.0 100 tok/s gpt-5.2 openai gpt5 1m $1.8 / $14.0 65 tok/s gpt-5-mini openai gpt5-mini 1m $0.2 / $2.0 70 tok/s gpt-5.2-codex openai 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex openai codex 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex-spark openai codex-spark 131k - / - 1000 tok/s gpt-5.4 openai gpt54, gpt-54 1m $2.5 / $15.0 70 tok/s gpt-5.4-pro openai gpt54-pro, gpt-54-pro 1m $30.0 / $180.0 20 tok/s gpt-5.4-mini openai gpt54-mini, gpt-54-mini 400k $0.8 / $4.5 140 tok/s gemini-3.1-pro-preview gemini gemini-pro 1m $2.0 / $12.0 85 tok/s gemini-3.1-pro-preview-customtools gemini gemini-customtools 1m $2.0 / $12.0 85 tok/s gemini-3-flash-preview gemini gemini-flash 1m $0.5 / $3.0 150 tok/s gemini-3.1-flash-lite-preview gemini gemini-flash-lite 1m $0.2 / $1.5 200 tok/s kimi-k2.5 kimi kimi 262k $0.6 / $3.0 50 tok/s glm-4.7 zai glm, glm4 203k $0.6 / $2.2 100 tok/s minimax-m2.5 minimax minimax 197k $0.3 / $1.2 45 tok/s mercury-2 inception mercury 131k $0.2 / $0.8 1000 tok/s ----- stderr ----- "); } #[test] fn list() { let context = test_context!(); let mut cmd = context.model(); cmd.arg("list"); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED claude-opus-4-6 anthropic opus, claude-opus 1m $15.0 / $75.0 25 tok/s claude-sonnet-4-5 anthropic 200k $3.0 / $15.0 50 tok/s claude-sonnet-4-6 anthropic sonnet, claude-sonnet 200k $3.0 / $15.0 50 tok/s claude-haiku-4-5 anthropic haiku, claude-haiku 200k $0.8 / $4.0 100 tok/s gpt-5.2 openai gpt5 1m $1.8 / $14.0 65 tok/s gpt-5-mini openai gpt5-mini 1m $0.2 / $2.0 70 tok/s gpt-5.2-codex openai 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex openai codex 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex-spark openai codex-spark 131k - / - 1000 tok/s gpt-5.4 openai gpt54, gpt-54 1m $2.5 / $15.0 70 tok/s gpt-5.4-pro openai gpt54-pro, gpt-54-pro 1m $30.0 / $180.0 20 tok/s gpt-5.4-mini openai gpt54-mini, gpt-54-mini 400k $0.8 / $4.5 140 tok/s gemini-3.1-pro-preview gemini gemini-pro 1m $2.0 / $12.0 85 tok/s gemini-3.1-pro-preview-customtools gemini gemini-customtools 1m $2.0 / $12.0 85 tok/s gemini-3-flash-preview gemini gemini-flash 1m $0.5 / $3.0 150 tok/s gemini-3.1-flash-lite-preview gemini gemini-flash-lite 1m $0.2 / $1.5 200 tok/s kimi-k2.5 kimi kimi 262k $0.6 / $3.0 50 tok/s glm-4.7 zai glm, glm4 203k $0.6 / $2.2 100 tok/s minimax-m2.5 minimax minimax 197k $0.3 / $1.2 45 tok/s mercury-2 inception mercury 131k $0.2 / $0.8 1000 tok/s ----- stderr ----- "); } #[test] fn list_provider() { let context = test_context!(); let mut cmd = context.model(); cmd.args(["list", "--provider", "anthropic"]); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED claude-opus-4-6 anthropic opus, claude-opus 1m $15.0 / $75.0 25 tok/s claude-sonnet-4-5 anthropic 200k $3.0 / $15.0 50 tok/s claude-sonnet-4-6 anthropic sonnet, claude-sonnet 200k $3.0 / $15.0 50 tok/s claude-haiku-4-5 anthropic haiku, claude-haiku 200k $0.8 / $4.0 100 tok/s ----- stderr ----- "); } #[test] fn list_query() { let context = test_context!(); let mut cmd = context.model(); cmd.args(["list", "--query", "opus"]); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED claude-opus-4-6 anthropic opus, claude-opus 1m $15.0 / $75.0 25 tok/s ----- stderr ----- "); } #[test] fn list_query_aliases() { let context = test_context!(); let mut cmd = context.model(); cmd.args(["list", "--query", "codex"]); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED gpt-5.2-codex openai 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex openai codex 1m $1.8 / $14.0 100 tok/s gpt-5.3-codex-spark openai codex-spark 131k - / - 1000 tok/s ----- stderr ----- "); } #[test] fn list_query_case_insensitive() { let context = test_context!(); let mut cmd = context.model(); cmd.args(["list", "--query", "OPUS"]); fabro_snapshot!(context.filters(), cmd, @" success: true exit_code: 0 ----- stdout ----- MODEL PROVIDER ALIASES CONTEXT COST SPEED claude-opus-4-6 anthropic opus, claude-opus 1m $15.0 / $75.0 25 tok/s ----- stderr ----- "); }