mirror of
https://github.com/ollama/ollama.git
synced 2026-04-17 19:54:03 +02:00
* bench: add prompt calibration, context size flag, and NumCtx reporting Add --num-ctx flag to set context size, and report NumCtx in model info header. Calibrate tokens-per-word ratio during warmup using actual tokenization metrics from the model, replacing the fixed 1.3 heuristic. This produces more accurate prompt token counts for --prompt-tokens. Also add fetchContextLength() to query running model context via /api/ps. * integration: improve vision test robustness and add thinking tests Add skipIfNoVisionOverride() to skip vision tests when OLLAMA_TEST_MODEL is set to a non-vision model. Add Think:false to context exhaustion test to prevent thinking models from using all context before the test can measure it. Add third test image (ollama homepage) and replace OCR test with ImageDescription test using it. Relax match strings for broader model compatibility. Add TestThinkingEnabled and TestThinkingSuppressed to verify thinking output and channel tag handling. * gemma4: add Gemma 4 GGML model support Add full Gemma 4 model family support (E2B, E4B, 26B MoE, 31B Dense) for the GGML backend including text, vision, converter, parser, and renderer. Text model features: - Sliding window + full attention with per-layer patterns - KV sharing across layers with donor map - Per-layer embeddings (PLE) with learned projections - MoE routing with RMSNorm + learned scale - Proportional RoPE with freq_factors for global attention - Final logit softcapping Vision model features: - SigLIP vision encoder with 2D RoPE - ClippableLinear with input/output clamping via packed v.clamp_data - Adaptive average pooling with nMerge kernel - Multi-modal projection with unweighted RMSNorm Converter: - Safetensors to GGUF with vision tensor renaming - Fused MoE gate_up_proj splitting - Vision patch embedding reshape (HF to Conv2D layout) - Packed clamp data tensor for ClippableLinear bounds - Proportional RoPE freq_factors generation Also includes: - BackendGet() on ml.Tensor for reading weight tensor data - Q6_K CUDA get_rows kernel support - MoE-aware ffn_down quantization layer counting - Gemma4 parser with tool calling and thinking support - Gemma4 renderer with structured tool format - Architecture-based auto-detection of renderer/parser/stop tokens - Integration test gemma4 model list additions * gemma4: add audio support with USM conformer encoder Add audio encoding for Gemma 4 using the USM conformer architecture: - Converter: audio tensor mapping, SSCP/conformer/embedder name replacements, softplus repacker for per_dim_scale, F32 enforcement for conv weights - GGML backend: Conv1DDW and PadExt tensor ops - Audio encoder: SSCP Conv2D, 12 conformer blocks (FFW + block-local attention with relative position embeddings + LightConv1d + FFW), output projection, audio-to-text embedding projector - Audio preprocessing: WAV decode, mel spectrogram, FFT (pure Go) - Model wiring: WAV detection, audio token handling, unified PostTokenize Correctly transcribes "why is the sky blue" from test audio. * integration: add gemma4 audio tests including OpenAI API coverage Test audio transcription and response via the Ollama native API, plus two new tests exercising the OpenAI-compatible endpoints: - /v1/audio/transcriptions (multipart form upload) - /v1/chat/completions with input_audio content type All tests use capability checks and skip models without audio support. * gemma4: add OpenAI audio API support and capability detection - Add CapabilityAudio and detect from audio.block_count in GGUF - Add /v1/audio/transcriptions endpoint with TranscriptionMiddleware - Add input_audio content type support in /v1/chat/completions - Add TranscriptionRequest/Response types in openai package * gemma4: add audio input support for run command - /audio toggle in interactive mode for voice chat - Platform-specific microphone recording (AVFoundation on macOS, PulseAudio/ALSA on Linux, WASAPI on Windows) - Space to start/stop recording, automatic chunking for long audio * gemma4: add transcribe command (ollama transcribe MODEL) - Interactive mode with readline prompt and slash commands - Non-interactive mode for piped audio or record-until-Ctrl+C - Chunked streaming transcription for long recordings - Word-wrapped output matching run command style * gemma4: add parser, renderer, and integration test plumbing * gemma4: fix renderer to emit BOS token * gemma4: add OpenAI audio transcription API and input_audio support * gemma4: update converter for new weight drop naming * gemma4: add per_expert_scale to MoE router and fix moe_intermediate_size config * gemma4: rewrite renderer to match HF Jinja2 template exactly Fix 8 bugs found by building 55 reference tests verified against the HF Jinja2 chat template (VERIFY_JINJA2=1 shells out to Python): - Tool responses use separate <|turn>tool turns (not inline tags) - Tool calls emitted before content in assistant messages - Thinking content stripped from assistant history (strip_thinking) - User, tool, and system content trimmed (template does | trim) - Empty system message still emits system turn (check role, not content) - Nested object properties rendered recursively with required field - Array items specification rendered for array-type properties - OBJECT/ARRAY type-specific rendering comma logic matches template Also adds Required field to api.ToolProperty for nested object schemas, replaces old gemma4_test.go with comprehensive gemma4_reference_test.go, and commits the Jinja2 template as testdata for verification. * gemma4: fix MoE fused gate_up split and multiline tool-call arg parsing - Text MoE: split `ffn_gate_up_exps` into contiguous `[gate|up]` halves instead of stride-2 slices. - Parser: escape control characters in `<|"|>...<|"|>` string literals when converting tool-call args to JSON. - Fixes warnings like `invalid character '\n' in string literal` for multiline tool arguments. - Add Gemma4 parser regressions for multiline tool-call args and `gemma4ArgsToJSON`. * cmd: simplify audio input to dropped file attachments * gemma4: use full SWA memory for better cache reuse * gemma4: initialize clamps after backend load * convert: align gemma4 audio tensor renames with llama.cpp * Remove redundant comments in gemma4 vision model * Format Gemma4 MoE block field alignment * use 4096 kvcache.NewSWAMemCache * convert: support new Gemma4 audio_tower tensor naming (#15221) Co-authored-by: jmorganca <jmorganca@gmail.com> * fix integration test defaults for audio * review comments and lint fixes * remove unused audio/video files --------- Co-authored-by: jmorganca <jmorganca@gmail.com>
2420 lines
61 KiB
Go
2420 lines
61 KiB
Go
package cmd
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import (
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"bufio"
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"context"
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"crypto/ed25519"
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"crypto/rand"
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"encoding/json"
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"encoding/pem"
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"errors"
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"fmt"
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"io"
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"log"
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"log/slog"
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"math"
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"net"
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"net/http"
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"os"
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"os/exec"
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"os/signal"
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"path/filepath"
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"runtime"
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"slices"
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"sort"
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"strconv"
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"strings"
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"sync/atomic"
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"syscall"
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"time"
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"github.com/containerd/console"
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"github.com/mattn/go-runewidth"
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"github.com/olekukonko/tablewriter"
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"github.com/pkg/browser"
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"github.com/spf13/cobra"
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"golang.org/x/crypto/ssh"
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"golang.org/x/sync/errgroup"
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"golang.org/x/term"
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"github.com/ollama/ollama/api"
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"github.com/ollama/ollama/cmd/config"
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"github.com/ollama/ollama/cmd/launch"
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"github.com/ollama/ollama/cmd/tui"
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"github.com/ollama/ollama/envconfig"
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"github.com/ollama/ollama/format"
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"github.com/ollama/ollama/internal/modelref"
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"github.com/ollama/ollama/logutil"
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"github.com/ollama/ollama/parser"
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"github.com/ollama/ollama/progress"
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"github.com/ollama/ollama/readline"
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"github.com/ollama/ollama/runner"
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"github.com/ollama/ollama/server"
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"github.com/ollama/ollama/types/model"
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"github.com/ollama/ollama/types/syncmap"
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"github.com/ollama/ollama/version"
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xcmd "github.com/ollama/ollama/x/cmd"
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"github.com/ollama/ollama/x/create"
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xcreateclient "github.com/ollama/ollama/x/create/client"
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"github.com/ollama/ollama/x/imagegen"
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)
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func init() {
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// Override default selectors to use Bubbletea TUI instead of raw terminal I/O.
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launch.DefaultSingleSelector = func(title string, items []launch.ModelItem, current string) (string, error) {
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if !term.IsTerminal(int(os.Stdin.Fd())) || !term.IsTerminal(int(os.Stdout.Fd())) {
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return "", fmt.Errorf("model selection requires an interactive terminal; use --model to run in headless mode")
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}
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tuiItems := tui.ReorderItems(tui.ConvertItems(items))
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result, err := tui.SelectSingle(title, tuiItems, current)
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if errors.Is(err, tui.ErrCancelled) {
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return "", launch.ErrCancelled
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}
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return result, err
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}
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launch.DefaultMultiSelector = func(title string, items []launch.ModelItem, preChecked []string) ([]string, error) {
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if !term.IsTerminal(int(os.Stdin.Fd())) || !term.IsTerminal(int(os.Stdout.Fd())) {
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return nil, fmt.Errorf("model selection requires an interactive terminal; use --model to run in headless mode")
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}
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tuiItems := tui.ReorderItems(tui.ConvertItems(items))
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result, err := tui.SelectMultiple(title, tuiItems, preChecked)
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if errors.Is(err, tui.ErrCancelled) {
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return nil, launch.ErrCancelled
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}
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return result, err
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}
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launch.DefaultSignIn = func(modelName, signInURL string) (string, error) {
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userName, err := tui.RunSignIn(modelName, signInURL)
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if errors.Is(err, tui.ErrCancelled) {
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return "", launch.ErrCancelled
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}
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return userName, err
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}
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launch.DefaultConfirmPrompt = func(prompt string) (bool, error) {
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ok, err := tui.RunConfirm(prompt)
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if errors.Is(err, tui.ErrCancelled) {
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return false, launch.ErrCancelled
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}
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return ok, err
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}
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}
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const ConnectInstructions = "If your browser did not open, navigate to:\n %s\n\n"
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// ensureThinkingSupport emits a warning if the model does not advertise thinking support
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func ensureThinkingSupport(ctx context.Context, client *api.Client, name string) {
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if name == "" {
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return
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}
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resp, err := client.Show(ctx, &api.ShowRequest{Model: name})
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if err != nil {
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return
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}
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if slices.Contains(resp.Capabilities, model.CapabilityThinking) {
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return
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}
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fmt.Fprintf(os.Stderr, "warning: model %q does not support thinking output\n", name)
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}
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var errModelfileNotFound = errors.New("specified Modelfile wasn't found")
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func getModelfileName(cmd *cobra.Command) (string, error) {
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filename, _ := cmd.Flags().GetString("file")
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if filename == "" {
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filename = "Modelfile"
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}
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absName, err := filepath.Abs(filename)
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if err != nil {
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return "", err
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}
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_, err = os.Stat(absName)
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if err != nil {
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return "", err
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}
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return absName, nil
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}
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// isLocalhost returns true if the configured Ollama host is a loopback or unspecified address.
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func isLocalhost() bool {
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host := envconfig.Host()
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h, _, _ := net.SplitHostPort(host.Host)
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if h == "localhost" {
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return true
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}
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ip := net.ParseIP(h)
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return ip != nil && (ip.IsLoopback() || ip.IsUnspecified())
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}
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func CreateHandler(cmd *cobra.Command, args []string) error {
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p := progress.NewProgress(os.Stderr)
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defer p.Stop()
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// Validate model name early to fail fast
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modelName := args[0]
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name := model.ParseName(modelName)
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if !name.IsValid() {
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return fmt.Errorf("invalid model name: %s", modelName)
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}
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// Check for --experimental flag for safetensors model creation
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experimental, _ := cmd.Flags().GetBool("experimental")
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if experimental {
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if !isLocalhost() {
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return errors.New("remote safetensor model creation not yet supported")
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}
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// Get Modelfile content - either from -f flag or default to "FROM ."
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var reader io.Reader
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filename, err := getModelfileName(cmd)
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if os.IsNotExist(err) || filename == "" {
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// No Modelfile specified or found - use default
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reader = strings.NewReader("FROM .\n")
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} else if err != nil {
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return err
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} else {
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f, err := os.Open(filename)
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if err != nil {
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return err
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}
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defer f.Close()
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reader = f
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}
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// Parse the Modelfile
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modelfile, err := parser.ParseFile(reader)
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if err != nil {
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return fmt.Errorf("failed to parse Modelfile: %w", err)
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}
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modelDir, mfConfig, err := xcreateclient.ConfigFromModelfile(modelfile)
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if err != nil {
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return err
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}
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// Resolve relative paths based on Modelfile location
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if !filepath.IsAbs(modelDir) && filename != "" {
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modelDir = filepath.Join(filepath.Dir(filename), modelDir)
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}
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quantize, _ := cmd.Flags().GetString("quantize")
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return xcreateclient.CreateModel(xcreateclient.CreateOptions{
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ModelName: modelName,
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ModelDir: modelDir,
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Quantize: quantize,
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Modelfile: mfConfig,
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}, p)
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}
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var reader io.Reader
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filename, err := getModelfileName(cmd)
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if os.IsNotExist(err) {
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if filename == "" {
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// No Modelfile found - check if current directory is an image gen model
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if create.IsTensorModelDir(".") {
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if !isLocalhost() {
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return errors.New("remote safetensor model creation not yet supported")
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}
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quantize, _ := cmd.Flags().GetString("quantize")
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return xcreateclient.CreateModel(xcreateclient.CreateOptions{
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ModelName: modelName,
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ModelDir: ".",
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Quantize: quantize,
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}, p)
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}
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reader = strings.NewReader("FROM .\n")
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} else {
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return errModelfileNotFound
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}
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} else if err != nil {
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return err
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} else {
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f, err := os.Open(filename)
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if err != nil {
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return err
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}
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reader = f
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defer f.Close()
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}
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modelfile, err := parser.ParseFile(reader)
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if err != nil {
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return err
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}
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status := "gathering model components"
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spinner := progress.NewSpinner(status)
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p.Add(status, spinner)
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req, err := modelfile.CreateRequest(filepath.Dir(filename))
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if err != nil {
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return err
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}
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spinner.Stop()
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req.Model = modelName
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quantize, _ := cmd.Flags().GetString("quantize")
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if quantize != "" {
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req.Quantize = quantize
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}
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client, err := api.ClientFromEnvironment()
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if err != nil {
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return err
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}
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var g errgroup.Group
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g.SetLimit(max(runtime.GOMAXPROCS(0)-1, 1))
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files := syncmap.NewSyncMap[string, string]()
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for f, digest := range req.Files {
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g.Go(func() error {
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if _, err := createBlob(cmd, client, f, digest, p); err != nil {
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return err
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}
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// TODO: this is incorrect since the file might be in a subdirectory
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// instead this should take the path relative to the model directory
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// but the current implementation does not allow this
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files.Store(filepath.Base(f), digest)
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return nil
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})
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}
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adapters := syncmap.NewSyncMap[string, string]()
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for f, digest := range req.Adapters {
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g.Go(func() error {
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if _, err := createBlob(cmd, client, f, digest, p); err != nil {
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return err
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}
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// TODO: same here
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adapters.Store(filepath.Base(f), digest)
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return nil
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})
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}
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if err := g.Wait(); err != nil {
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return err
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}
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req.Files = files.Items()
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req.Adapters = adapters.Items()
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bars := make(map[string]*progress.Bar)
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fn := func(resp api.ProgressResponse) error {
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if resp.Digest != "" {
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bar, ok := bars[resp.Digest]
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if !ok {
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msg := resp.Status
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if msg == "" {
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msg = fmt.Sprintf("pulling %s...", resp.Digest[7:19])
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}
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bar = progress.NewBar(msg, resp.Total, resp.Completed)
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bars[resp.Digest] = bar
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p.Add(resp.Digest, bar)
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}
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bar.Set(resp.Completed)
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} else if status != resp.Status {
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spinner.Stop()
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status = resp.Status
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spinner = progress.NewSpinner(status)
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p.Add(status, spinner)
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}
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return nil
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}
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if err := client.Create(cmd.Context(), req, fn); err != nil {
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if strings.Contains(err.Error(), "path or Modelfile are required") {
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return fmt.Errorf("the ollama server must be updated to use `ollama create` with this client")
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}
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return err
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}
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return nil
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}
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func createBlob(cmd *cobra.Command, client *api.Client, path string, digest string, p *progress.Progress) (string, error) {
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realPath, err := filepath.EvalSymlinks(path)
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if err != nil {
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return "", err
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}
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bin, err := os.Open(realPath)
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if err != nil {
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return "", err
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}
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defer bin.Close()
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// Get file info to retrieve the size
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fileInfo, err := bin.Stat()
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if err != nil {
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return "", err
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}
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fileSize := fileInfo.Size()
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var pw progressWriter
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status := fmt.Sprintf("copying file %s 0%%", digest)
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spinner := progress.NewSpinner(status)
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p.Add(status, spinner)
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defer spinner.Stop()
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done := make(chan struct{})
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defer close(done)
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go func() {
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ticker := time.NewTicker(60 * time.Millisecond)
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defer ticker.Stop()
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for {
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select {
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case <-ticker.C:
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spinner.SetMessage(fmt.Sprintf("copying file %s %d%%", digest, int(100*pw.n.Load()/fileSize)))
|
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case <-done:
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spinner.SetMessage(fmt.Sprintf("copying file %s 100%%", digest))
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return
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}
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}
|
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}()
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|
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if err := client.CreateBlob(cmd.Context(), digest, io.TeeReader(bin, &pw)); err != nil {
|
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return "", err
|
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}
|
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return digest, nil
|
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}
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|
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type progressWriter struct {
|
|
n atomic.Int64
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}
|
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|
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func (w *progressWriter) Write(p []byte) (n int, err error) {
|
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w.n.Add(int64(len(p)))
|
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return len(p), nil
|
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}
|
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|
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func loadOrUnloadModel(cmd *cobra.Command, opts *runOptions) error {
|
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p := progress.NewProgress(os.Stderr)
|
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defer p.StopAndClear()
|
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|
|
spinner := progress.NewSpinner("")
|
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p.Add("", spinner)
|
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|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
requestedCloud := modelref.HasExplicitCloudSource(opts.Model)
|
|
|
|
if info, err := client.Show(cmd.Context(), &api.ShowRequest{Model: opts.Model}); err != nil {
|
|
return err
|
|
} else if info.RemoteHost != "" || requestedCloud {
|
|
// Cloud model, no need to load/unload
|
|
|
|
isCloud := requestedCloud || strings.HasPrefix(info.RemoteHost, "https://ollama.com")
|
|
|
|
// Check if user is signed in for ollama.com cloud models
|
|
if isCloud {
|
|
if _, err := client.Whoami(cmd.Context()); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
|
|
if opts.ShowConnect {
|
|
p.StopAndClear()
|
|
remoteModel := info.RemoteModel
|
|
if remoteModel == "" {
|
|
remoteModel = opts.Model
|
|
}
|
|
if isCloud {
|
|
fmt.Fprintf(os.Stderr, "Connecting to '%s' on 'ollama.com' ⚡\n", remoteModel)
|
|
} else {
|
|
fmt.Fprintf(os.Stderr, "Connecting to '%s' on '%s'\n", remoteModel, info.RemoteHost)
|
|
}
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
req := &api.GenerateRequest{
|
|
Model: opts.Model,
|
|
KeepAlive: opts.KeepAlive,
|
|
|
|
// pass Think here so we fail before getting to the chat prompt if the model doesn't support it
|
|
Think: opts.Think,
|
|
}
|
|
|
|
return client.Generate(cmd.Context(), req, func(r api.GenerateResponse) error {
|
|
return nil
|
|
})
|
|
}
|
|
|
|
func StopHandler(cmd *cobra.Command, args []string) error {
|
|
opts := &runOptions{
|
|
Model: args[0],
|
|
KeepAlive: &api.Duration{Duration: 0},
|
|
}
|
|
if err := loadOrUnloadModel(cmd, opts); err != nil {
|
|
if strings.Contains(err.Error(), "not found") {
|
|
return fmt.Errorf("couldn't find model \"%s\" to stop", args[0])
|
|
}
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func generateEmbedding(cmd *cobra.Command, modelName, input string, keepAlive *api.Duration, truncate *bool, dimensions int) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
req := &api.EmbedRequest{
|
|
Model: modelName,
|
|
Input: input,
|
|
}
|
|
if keepAlive != nil {
|
|
req.KeepAlive = keepAlive
|
|
}
|
|
if truncate != nil {
|
|
req.Truncate = truncate
|
|
}
|
|
if dimensions > 0 {
|
|
req.Dimensions = dimensions
|
|
}
|
|
|
|
resp, err := client.Embed(cmd.Context(), req)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if len(resp.Embeddings) == 0 {
|
|
return errors.New("no embeddings returned")
|
|
}
|
|
|
|
output, err := json.Marshal(resp.Embeddings[0])
|
|
if err != nil {
|
|
return err
|
|
}
|
|
fmt.Println(string(output))
|
|
|
|
return nil
|
|
}
|
|
|
|
// TODO(parthsareen): consolidate with TUI signin flow
|
|
func handleCloudAuthorizationError(err error) bool {
|
|
var authErr api.AuthorizationError
|
|
if errors.As(err, &authErr) && authErr.StatusCode == http.StatusUnauthorized {
|
|
fmt.Printf("You need to be signed in to Ollama to run Cloud models.\n\n")
|
|
if authErr.SigninURL != "" {
|
|
fmt.Printf(ConnectInstructions, authErr.SigninURL)
|
|
}
|
|
return true
|
|
}
|
|
|
|
return false
|
|
}
|
|
|
|
// TEMP(drifkin): To match legacy `ollama run some-model:cloud` behavior, we
|
|
// best-effort pull cloud stub files for any explicit cloud source models.
|
|
// Remove this once `/api/tags` is cloud-aware.
|
|
func ensureCloudStub(ctx context.Context, client *api.Client, modelName string) {
|
|
if !modelref.HasExplicitCloudSource(modelName) {
|
|
return
|
|
}
|
|
|
|
normalizedName, _, err := modelref.NormalizePullName(modelName)
|
|
if err != nil {
|
|
slog.Warn("failed to normalize pull name", "model", modelName, "error", err, "normalizedName", normalizedName)
|
|
return
|
|
}
|
|
|
|
listResp, err := client.List(ctx)
|
|
if err != nil {
|
|
slog.Warn("failed to list models", "error", err)
|
|
return
|
|
}
|
|
|
|
if hasListedModelName(listResp.Models, modelName) || hasListedModelName(listResp.Models, normalizedName) {
|
|
return
|
|
}
|
|
|
|
logutil.Trace("pulling cloud stub", "model", modelName, "normalizedName", normalizedName)
|
|
err = client.Pull(ctx, &api.PullRequest{
|
|
Model: normalizedName,
|
|
}, func(api.ProgressResponse) error {
|
|
return nil
|
|
})
|
|
if err != nil {
|
|
slog.Warn("failed to pull cloud stub", "model", modelName, "error", err)
|
|
}
|
|
}
|
|
|
|
func hasListedModelName(models []api.ListModelResponse, name string) bool {
|
|
for _, m := range models {
|
|
if strings.EqualFold(m.Name, name) || strings.EqualFold(m.Model, name) {
|
|
return true
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
func RunHandler(cmd *cobra.Command, args []string) error {
|
|
interactive := true
|
|
|
|
opts := runOptions{
|
|
Model: args[0],
|
|
WordWrap: os.Getenv("TERM") == "xterm-256color",
|
|
Options: map[string]any{},
|
|
ShowConnect: true,
|
|
}
|
|
|
|
format, err := cmd.Flags().GetString("format")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
opts.Format = format
|
|
|
|
thinkFlag := cmd.Flags().Lookup("think")
|
|
if thinkFlag.Changed {
|
|
thinkStr, err := cmd.Flags().GetString("think")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Handle different values for --think
|
|
switch thinkStr {
|
|
case "", "true":
|
|
// --think or --think=true
|
|
opts.Think = &api.ThinkValue{Value: true}
|
|
case "false":
|
|
opts.Think = &api.ThinkValue{Value: false}
|
|
case "high", "medium", "low":
|
|
opts.Think = &api.ThinkValue{Value: thinkStr}
|
|
default:
|
|
return fmt.Errorf("invalid value for --think: %q (must be true, false, high, medium, or low)", thinkStr)
|
|
}
|
|
} else {
|
|
opts.Think = nil
|
|
}
|
|
hidethinking, err := cmd.Flags().GetBool("hidethinking")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
opts.HideThinking = hidethinking
|
|
|
|
keepAlive, err := cmd.Flags().GetString("keepalive")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if keepAlive != "" {
|
|
d, err := time.ParseDuration(keepAlive)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
opts.KeepAlive = &api.Duration{Duration: d}
|
|
}
|
|
|
|
prompts := args[1:]
|
|
// prepend stdin to the prompt if provided
|
|
if !term.IsTerminal(int(os.Stdin.Fd())) {
|
|
in, err := io.ReadAll(os.Stdin)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Only prepend stdin content if it's not empty
|
|
stdinContent := string(in)
|
|
if len(stdinContent) > 0 {
|
|
prompts = append([]string{stdinContent}, prompts...)
|
|
}
|
|
opts.ShowConnect = false
|
|
opts.WordWrap = false
|
|
interactive = false
|
|
}
|
|
opts.Prompt = strings.Join(prompts, " ")
|
|
if len(prompts) > 0 {
|
|
interactive = false
|
|
}
|
|
// Be quiet if we're redirecting to a pipe or file
|
|
if !term.IsTerminal(int(os.Stdout.Fd())) {
|
|
interactive = false
|
|
}
|
|
|
|
nowrap, err := cmd.Flags().GetBool("nowordwrap")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
opts.WordWrap = !nowrap
|
|
|
|
// Fill out the rest of the options based on information about the
|
|
// model.
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
name := args[0]
|
|
requestedCloud := modelref.HasExplicitCloudSource(name)
|
|
|
|
info, err := func() (*api.ShowResponse, error) {
|
|
showReq := &api.ShowRequest{Name: name}
|
|
info, err := client.Show(cmd.Context(), showReq)
|
|
var se api.StatusError
|
|
if errors.As(err, &se) && se.StatusCode == http.StatusNotFound {
|
|
if requestedCloud {
|
|
return nil, err
|
|
}
|
|
if err := PullHandler(cmd, []string{name}); err != nil {
|
|
return nil, err
|
|
}
|
|
return client.Show(cmd.Context(), &api.ShowRequest{Name: name})
|
|
}
|
|
return info, err
|
|
}()
|
|
if err != nil {
|
|
if handleCloudAuthorizationError(err) {
|
|
return nil
|
|
}
|
|
return err
|
|
}
|
|
|
|
ensureCloudStub(cmd.Context(), client, name)
|
|
|
|
opts.Think, err = inferThinkingOption(&info.Capabilities, &opts, thinkFlag.Changed)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
audioCapable := slices.Contains(info.Capabilities, model.CapabilityAudio)
|
|
opts.MultiModal = slices.Contains(info.Capabilities, model.CapabilityVision) || audioCapable
|
|
|
|
// TODO: remove the projector info and vision info checks below,
|
|
// these are left in for backwards compatibility with older servers
|
|
// that don't have the capabilities field in the model info
|
|
if len(info.ProjectorInfo) != 0 {
|
|
opts.MultiModal = true
|
|
}
|
|
for k := range info.ModelInfo {
|
|
if strings.Contains(k, ".vision.") {
|
|
opts.MultiModal = true
|
|
break
|
|
}
|
|
}
|
|
|
|
opts.ParentModel = info.Details.ParentModel
|
|
|
|
// Check if this is an embedding model
|
|
isEmbeddingModel := slices.Contains(info.Capabilities, model.CapabilityEmbedding)
|
|
|
|
// If it's an embedding model, handle embedding generation
|
|
if isEmbeddingModel {
|
|
if opts.Prompt == "" {
|
|
return errors.New("embedding models require input text. Usage: ollama run " + name + " \"your text here\"")
|
|
}
|
|
|
|
// Get embedding-specific flags
|
|
var truncate *bool
|
|
if truncateFlag, err := cmd.Flags().GetBool("truncate"); err == nil && cmd.Flags().Changed("truncate") {
|
|
truncate = &truncateFlag
|
|
}
|
|
|
|
dimensions, err := cmd.Flags().GetInt("dimensions")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
return generateEmbedding(cmd, name, opts.Prompt, opts.KeepAlive, truncate, dimensions)
|
|
}
|
|
|
|
// Check if this is an image generation model
|
|
if slices.Contains(info.Capabilities, model.CapabilityImage) {
|
|
if opts.Prompt == "" && !interactive {
|
|
return errors.New("image generation models require a prompt. Usage: ollama run " + name + " \"your prompt here\"")
|
|
}
|
|
return imagegen.RunCLI(cmd, name, opts.Prompt, interactive, opts.KeepAlive)
|
|
}
|
|
|
|
// Check for experimental flag
|
|
isExperimental, _ := cmd.Flags().GetBool("experimental")
|
|
yoloMode, _ := cmd.Flags().GetBool("experimental-yolo")
|
|
enableWebsearch, _ := cmd.Flags().GetBool("experimental-websearch")
|
|
|
|
if interactive {
|
|
if err := loadOrUnloadModel(cmd, &opts); err != nil {
|
|
var sErr api.AuthorizationError
|
|
if errors.As(err, &sErr) && sErr.StatusCode == http.StatusUnauthorized {
|
|
fmt.Printf("You need to be signed in to Ollama to run Cloud models.\n\n")
|
|
|
|
if sErr.SigninURL != "" {
|
|
fmt.Printf(ConnectInstructions, sErr.SigninURL)
|
|
}
|
|
return nil
|
|
}
|
|
return err
|
|
}
|
|
|
|
for _, msg := range info.Messages {
|
|
switch msg.Role {
|
|
case "user":
|
|
fmt.Printf(">>> %s\n", msg.Content)
|
|
case "assistant":
|
|
state := &displayResponseState{}
|
|
displayResponse(msg.Content, opts.WordWrap, state)
|
|
fmt.Println()
|
|
fmt.Println()
|
|
}
|
|
}
|
|
|
|
// Use experimental agent loop with tools
|
|
if isExperimental {
|
|
return xcmd.GenerateInteractive(cmd, opts.Model, opts.WordWrap, opts.Options, opts.Think, opts.HideThinking, opts.KeepAlive, yoloMode, enableWebsearch)
|
|
}
|
|
|
|
return generateInteractive(cmd, opts)
|
|
}
|
|
if err := generate(cmd, opts); err != nil {
|
|
if handleCloudAuthorizationError(err) {
|
|
return nil
|
|
}
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func SigninHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
user, err := client.Whoami(cmd.Context())
|
|
if err != nil {
|
|
var aErr api.AuthorizationError
|
|
if errors.As(err, &aErr) && aErr.StatusCode == http.StatusUnauthorized {
|
|
fmt.Println("You need to be signed in to Ollama to run Cloud models.")
|
|
fmt.Println()
|
|
|
|
if aErr.SigninURL != "" {
|
|
_ = browser.OpenURL(aErr.SigninURL)
|
|
fmt.Printf(ConnectInstructions, aErr.SigninURL)
|
|
}
|
|
return nil
|
|
}
|
|
return err
|
|
}
|
|
|
|
if user != nil && user.Name != "" {
|
|
fmt.Printf("You are already signed in as user '%s'\n", user.Name)
|
|
fmt.Println()
|
|
return nil
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func SignoutHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
err = client.Signout(cmd.Context())
|
|
if err != nil {
|
|
var aErr api.AuthorizationError
|
|
if errors.As(err, &aErr) && aErr.StatusCode == http.StatusUnauthorized {
|
|
fmt.Println("You are not signed in to ollama.com")
|
|
fmt.Println()
|
|
return nil
|
|
} else {
|
|
return err
|
|
}
|
|
}
|
|
|
|
fmt.Println("You have signed out of ollama.com")
|
|
fmt.Println()
|
|
return nil
|
|
}
|
|
|
|
func PushHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
insecure, err := cmd.Flags().GetBool("insecure")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
n := model.ParseName(args[0])
|
|
if strings.HasSuffix(n.Host, ".ollama.ai") || strings.HasSuffix(n.Host, ".ollama.com") {
|
|
_, err := client.Whoami(cmd.Context())
|
|
if err != nil {
|
|
var aErr api.AuthorizationError
|
|
if errors.As(err, &aErr) && aErr.StatusCode == http.StatusUnauthorized {
|
|
fmt.Println("You need to be signed in to push models to ollama.com.")
|
|
fmt.Println()
|
|
|
|
if aErr.SigninURL != "" {
|
|
fmt.Printf(ConnectInstructions, aErr.SigninURL)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
return err
|
|
}
|
|
}
|
|
|
|
p := progress.NewProgress(os.Stderr)
|
|
defer p.Stop()
|
|
|
|
bars := make(map[string]*progress.Bar)
|
|
var status string
|
|
var spinner *progress.Spinner
|
|
|
|
fn := func(resp api.ProgressResponse) error {
|
|
if resp.Digest != "" {
|
|
if spinner != nil {
|
|
spinner.Stop()
|
|
}
|
|
|
|
bar, ok := bars[resp.Digest]
|
|
if !ok {
|
|
msg := resp.Status
|
|
if msg == "" {
|
|
msg = fmt.Sprintf("pushing %s...", resp.Digest[7:19])
|
|
}
|
|
bar = progress.NewBar(msg, resp.Total, resp.Completed)
|
|
bars[resp.Digest] = bar
|
|
p.Add(resp.Digest, bar)
|
|
}
|
|
|
|
bar.Set(resp.Completed)
|
|
} else if status != resp.Status {
|
|
if spinner != nil {
|
|
spinner.Stop()
|
|
}
|
|
|
|
status = resp.Status
|
|
spinner = progress.NewSpinner(status)
|
|
p.Add(status, spinner)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
request := api.PushRequest{Name: args[0], Insecure: insecure}
|
|
|
|
if err := client.Push(cmd.Context(), &request, fn); err != nil {
|
|
if spinner != nil {
|
|
spinner.Stop()
|
|
}
|
|
errStr := strings.ToLower(err.Error())
|
|
if strings.Contains(errStr, "access denied") || strings.Contains(errStr, "unauthorized") {
|
|
return errors.New("you are not authorized to push to this namespace, create the model under a namespace you own")
|
|
}
|
|
return err
|
|
}
|
|
|
|
p.Stop()
|
|
spinner.Stop()
|
|
|
|
destination := n.String()
|
|
if strings.HasSuffix(n.Host, ".ollama.ai") || strings.HasSuffix(n.Host, ".ollama.com") {
|
|
destination = "https://ollama.com/" + strings.TrimSuffix(n.DisplayShortest(), ":latest")
|
|
}
|
|
fmt.Printf("\nYou can find your model at:\n\n")
|
|
fmt.Printf("\t%s\n", destination)
|
|
|
|
return nil
|
|
}
|
|
|
|
func ListHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
models, err := client.List(cmd.Context())
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
var data [][]string
|
|
|
|
for _, m := range models.Models {
|
|
if len(args) == 0 || strings.HasPrefix(strings.ToLower(m.Name), strings.ToLower(args[0])) {
|
|
var size string
|
|
if m.RemoteModel != "" {
|
|
size = "-"
|
|
} else {
|
|
size = format.HumanBytes(m.Size)
|
|
}
|
|
|
|
data = append(data, []string{m.Name, m.Digest[:12], size, format.HumanTime(m.ModifiedAt, "Never")})
|
|
}
|
|
}
|
|
|
|
table := tablewriter.NewWriter(os.Stdout)
|
|
table.SetHeader([]string{"NAME", "ID", "SIZE", "MODIFIED"})
|
|
table.SetHeaderAlignment(tablewriter.ALIGN_LEFT)
|
|
table.SetAlignment(tablewriter.ALIGN_LEFT)
|
|
table.SetHeaderLine(false)
|
|
table.SetBorder(false)
|
|
table.SetNoWhiteSpace(true)
|
|
table.SetTablePadding(" ")
|
|
table.AppendBulk(data)
|
|
table.Render()
|
|
|
|
return nil
|
|
}
|
|
|
|
func ListRunningHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
models, err := client.ListRunning(cmd.Context())
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
var data [][]string
|
|
|
|
for _, m := range models.Models {
|
|
if len(args) == 0 || strings.HasPrefix(m.Name, args[0]) {
|
|
var procStr string
|
|
switch {
|
|
case m.SizeVRAM == 0:
|
|
procStr = "100% CPU"
|
|
case m.SizeVRAM == m.Size:
|
|
procStr = "100% GPU"
|
|
case m.SizeVRAM > m.Size || m.Size == 0:
|
|
procStr = "Unknown"
|
|
default:
|
|
sizeCPU := m.Size - m.SizeVRAM
|
|
cpuPercent := math.Round(float64(sizeCPU) / float64(m.Size) * 100)
|
|
procStr = fmt.Sprintf("%d%%/%d%% CPU/GPU", int(cpuPercent), int(100-cpuPercent))
|
|
}
|
|
|
|
var until string
|
|
delta := time.Since(m.ExpiresAt)
|
|
if delta > 0 {
|
|
until = "Stopping..."
|
|
} else {
|
|
until = format.HumanTime(m.ExpiresAt, "Never")
|
|
}
|
|
ctxStr := strconv.Itoa(m.ContextLength)
|
|
data = append(data, []string{m.Name, m.Digest[:12], format.HumanBytes(m.Size), procStr, ctxStr, until})
|
|
}
|
|
}
|
|
|
|
table := tablewriter.NewWriter(os.Stdout)
|
|
table.SetHeader([]string{"NAME", "ID", "SIZE", "PROCESSOR", "CONTEXT", "UNTIL"})
|
|
table.SetHeaderAlignment(tablewriter.ALIGN_LEFT)
|
|
table.SetAlignment(tablewriter.ALIGN_LEFT)
|
|
table.SetHeaderLine(false)
|
|
table.SetBorder(false)
|
|
table.SetNoWhiteSpace(true)
|
|
table.SetTablePadding(" ")
|
|
table.AppendBulk(data)
|
|
table.Render()
|
|
|
|
return nil
|
|
}
|
|
|
|
func DeleteHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
for _, arg := range args {
|
|
// Unload the model if it's running before deletion
|
|
if err := loadOrUnloadModel(cmd, &runOptions{
|
|
Model: arg,
|
|
KeepAlive: &api.Duration{Duration: 0},
|
|
}); err != nil {
|
|
if !strings.Contains(strings.ToLower(err.Error()), "not found") {
|
|
fmt.Fprintf(os.Stderr, "Warning: unable to stop model '%s'\n", arg)
|
|
}
|
|
}
|
|
|
|
if err := client.Delete(cmd.Context(), &api.DeleteRequest{Name: arg}); err != nil {
|
|
return err
|
|
}
|
|
fmt.Printf("deleted '%s'\n", arg)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func ShowHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
license, errLicense := cmd.Flags().GetBool("license")
|
|
modelfile, errModelfile := cmd.Flags().GetBool("modelfile")
|
|
parameters, errParams := cmd.Flags().GetBool("parameters")
|
|
system, errSystem := cmd.Flags().GetBool("system")
|
|
template, errTemplate := cmd.Flags().GetBool("template")
|
|
verbose, errVerbose := cmd.Flags().GetBool("verbose")
|
|
|
|
for _, boolErr := range []error{errLicense, errModelfile, errParams, errSystem, errTemplate, errVerbose} {
|
|
if boolErr != nil {
|
|
return errors.New("error retrieving flags")
|
|
}
|
|
}
|
|
|
|
flagsSet := 0
|
|
showType := ""
|
|
|
|
if license {
|
|
flagsSet++
|
|
showType = "license"
|
|
}
|
|
|
|
if modelfile {
|
|
flagsSet++
|
|
showType = "modelfile"
|
|
}
|
|
|
|
if parameters {
|
|
flagsSet++
|
|
showType = "parameters"
|
|
}
|
|
|
|
if system {
|
|
flagsSet++
|
|
showType = "system"
|
|
}
|
|
|
|
if template {
|
|
flagsSet++
|
|
showType = "template"
|
|
}
|
|
|
|
if flagsSet > 1 {
|
|
return errors.New("only one of '--license', '--modelfile', '--parameters', '--system', or '--template' can be specified")
|
|
}
|
|
|
|
req := api.ShowRequest{Name: args[0], Verbose: verbose}
|
|
resp, err := client.Show(cmd.Context(), &req)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if flagsSet == 1 {
|
|
switch showType {
|
|
case "license":
|
|
fmt.Println(resp.License)
|
|
case "modelfile":
|
|
fmt.Println(resp.Modelfile)
|
|
case "parameters":
|
|
fmt.Println(resp.Parameters)
|
|
case "system":
|
|
fmt.Print(resp.System)
|
|
case "template":
|
|
fmt.Print(resp.Template)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
return showInfo(resp, verbose, os.Stdout)
|
|
}
|
|
|
|
func showInfo(resp *api.ShowResponse, verbose bool, w io.Writer) error {
|
|
tableRender := func(header string, rows func() [][]string) {
|
|
fmt.Fprintln(w, " ", header)
|
|
table := tablewriter.NewWriter(w)
|
|
table.SetAlignment(tablewriter.ALIGN_LEFT)
|
|
table.SetBorder(false)
|
|
table.SetNoWhiteSpace(true)
|
|
table.SetTablePadding(" ")
|
|
|
|
switch header {
|
|
case "Template", "System", "License":
|
|
table.SetColWidth(100)
|
|
}
|
|
|
|
table.AppendBulk(rows())
|
|
table.Render()
|
|
fmt.Fprintln(w)
|
|
}
|
|
|
|
tableRender("Model", func() (rows [][]string) {
|
|
if resp.RemoteHost != "" {
|
|
rows = append(rows, []string{"", "Remote model", resp.RemoteModel})
|
|
rows = append(rows, []string{"", "Remote URL", resp.RemoteHost})
|
|
}
|
|
|
|
if resp.ModelInfo != nil {
|
|
arch, _ := resp.ModelInfo["general.architecture"].(string)
|
|
if arch != "" {
|
|
rows = append(rows, []string{"", "architecture", arch})
|
|
}
|
|
|
|
var paramStr string
|
|
if resp.Details.ParameterSize != "" {
|
|
paramStr = resp.Details.ParameterSize
|
|
} else if v, ok := resp.ModelInfo["general.parameter_count"]; ok {
|
|
if f, ok := v.(float64); ok {
|
|
paramStr = format.HumanNumber(uint64(f))
|
|
}
|
|
}
|
|
if paramStr != "" {
|
|
rows = append(rows, []string{"", "parameters", paramStr})
|
|
}
|
|
|
|
if v, ok := resp.ModelInfo[fmt.Sprintf("%s.context_length", arch)]; ok {
|
|
if f, ok := v.(float64); ok {
|
|
rows = append(rows, []string{"", "context length", strconv.FormatFloat(f, 'f', -1, 64)})
|
|
}
|
|
}
|
|
|
|
if v, ok := resp.ModelInfo[fmt.Sprintf("%s.embedding_length", arch)]; ok {
|
|
if f, ok := v.(float64); ok {
|
|
rows = append(rows, []string{"", "embedding length", strconv.FormatFloat(f, 'f', -1, 64)})
|
|
}
|
|
}
|
|
} else {
|
|
rows = append(rows, []string{"", "architecture", resp.Details.Family})
|
|
rows = append(rows, []string{"", "parameters", resp.Details.ParameterSize})
|
|
}
|
|
rows = append(rows, []string{"", "quantization", resp.Details.QuantizationLevel})
|
|
if resp.Requires != "" {
|
|
rows = append(rows, []string{"", "requires", resp.Requires})
|
|
}
|
|
return
|
|
})
|
|
|
|
if len(resp.Capabilities) > 0 {
|
|
tableRender("Capabilities", func() (rows [][]string) {
|
|
for _, capability := range resp.Capabilities {
|
|
rows = append(rows, []string{"", capability.String()})
|
|
}
|
|
return
|
|
})
|
|
}
|
|
|
|
if resp.ProjectorInfo != nil {
|
|
tableRender("Projector", func() (rows [][]string) {
|
|
arch := resp.ProjectorInfo["general.architecture"].(string)
|
|
rows = append(rows, []string{"", "architecture", arch})
|
|
rows = append(rows, []string{"", "parameters", format.HumanNumber(uint64(resp.ProjectorInfo["general.parameter_count"].(float64)))})
|
|
rows = append(rows, []string{"", "embedding length", strconv.FormatFloat(resp.ProjectorInfo[fmt.Sprintf("%s.vision.embedding_length", arch)].(float64), 'f', -1, 64)})
|
|
rows = append(rows, []string{"", "dimensions", strconv.FormatFloat(resp.ProjectorInfo[fmt.Sprintf("%s.vision.projection_dim", arch)].(float64), 'f', -1, 64)})
|
|
return
|
|
})
|
|
}
|
|
|
|
if resp.Parameters != "" {
|
|
tableRender("Parameters", func() (rows [][]string) {
|
|
scanner := bufio.NewScanner(strings.NewReader(resp.Parameters))
|
|
for scanner.Scan() {
|
|
if text := scanner.Text(); text != "" {
|
|
rows = append(rows, append([]string{""}, strings.Fields(text)...))
|
|
}
|
|
}
|
|
return
|
|
})
|
|
}
|
|
|
|
if resp.ModelInfo != nil && verbose {
|
|
tableRender("Metadata", func() (rows [][]string) {
|
|
keys := make([]string, 0, len(resp.ModelInfo))
|
|
for k := range resp.ModelInfo {
|
|
keys = append(keys, k)
|
|
}
|
|
sort.Strings(keys)
|
|
|
|
for _, k := range keys {
|
|
var v string
|
|
switch vData := resp.ModelInfo[k].(type) {
|
|
case bool:
|
|
v = fmt.Sprintf("%t", vData)
|
|
case string:
|
|
v = vData
|
|
case float64:
|
|
v = fmt.Sprintf("%g", vData)
|
|
case []any:
|
|
targetWidth := 10 // Small width where we are displaying the data in a column
|
|
|
|
var itemsToShow int
|
|
totalWidth := 1 // Start with 1 for opening bracket
|
|
|
|
// Find how many we can fit
|
|
for i := range vData {
|
|
itemStr := fmt.Sprintf("%v", vData[i])
|
|
width := runewidth.StringWidth(itemStr)
|
|
|
|
// Add separator width (", ") for all items except the first
|
|
if i > 0 {
|
|
width += 2
|
|
}
|
|
|
|
// Check if adding this item would exceed our width limit
|
|
if totalWidth+width > targetWidth && i > 0 {
|
|
break
|
|
}
|
|
|
|
totalWidth += width
|
|
itemsToShow++
|
|
}
|
|
|
|
// Format the output
|
|
if itemsToShow < len(vData) {
|
|
v = fmt.Sprintf("%v", vData[:itemsToShow])
|
|
v = strings.TrimSuffix(v, "]")
|
|
v += fmt.Sprintf(" ...+%d more]", len(vData)-itemsToShow)
|
|
} else {
|
|
v = fmt.Sprintf("%v", vData)
|
|
}
|
|
default:
|
|
v = fmt.Sprintf("%T", vData)
|
|
}
|
|
rows = append(rows, []string{"", k, v})
|
|
}
|
|
return
|
|
})
|
|
}
|
|
|
|
if len(resp.Tensors) > 0 && verbose {
|
|
tableRender("Tensors", func() (rows [][]string) {
|
|
for _, t := range resp.Tensors {
|
|
rows = append(rows, []string{"", t.Name, t.Type, fmt.Sprint(t.Shape)})
|
|
}
|
|
return
|
|
})
|
|
}
|
|
|
|
head := func(s string, n int) (rows [][]string) {
|
|
scanner := bufio.NewScanner(strings.NewReader(s))
|
|
count := 0
|
|
for scanner.Scan() {
|
|
text := strings.TrimSpace(scanner.Text())
|
|
if text == "" {
|
|
continue
|
|
}
|
|
count++
|
|
if n < 0 || count <= n {
|
|
rows = append(rows, []string{"", text})
|
|
}
|
|
}
|
|
if n >= 0 && count > n {
|
|
rows = append(rows, []string{"", "..."})
|
|
}
|
|
return
|
|
}
|
|
|
|
if resp.System != "" {
|
|
tableRender("System", func() [][]string {
|
|
return head(resp.System, 2)
|
|
})
|
|
}
|
|
|
|
if resp.License != "" {
|
|
tableRender("License", func() [][]string {
|
|
return head(resp.License, 2)
|
|
})
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func CopyHandler(cmd *cobra.Command, args []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
req := api.CopyRequest{Source: args[0], Destination: args[1]}
|
|
if err := client.Copy(cmd.Context(), &req); err != nil {
|
|
return err
|
|
}
|
|
fmt.Printf("copied '%s' to '%s'\n", args[0], args[1])
|
|
return nil
|
|
}
|
|
|
|
func PullHandler(cmd *cobra.Command, args []string) error {
|
|
insecure, err := cmd.Flags().GetBool("insecure")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
p := progress.NewProgress(os.Stderr)
|
|
defer p.Stop()
|
|
|
|
bars := make(map[string]*progress.Bar)
|
|
|
|
var status string
|
|
var spinner *progress.Spinner
|
|
|
|
fn := func(resp api.ProgressResponse) error {
|
|
if resp.Digest != "" {
|
|
if resp.Completed == 0 {
|
|
// This is the initial status update for the
|
|
// layer, which the server sends before
|
|
// beginning the download, for clients to
|
|
// compute total size and prepare for
|
|
// downloads, if needed.
|
|
//
|
|
// Skipping this here to avoid showing a 0%
|
|
// progress bar, which *should* clue the user
|
|
// into the fact that many things are being
|
|
// downloaded and that the current active
|
|
// download is not that last. However, in rare
|
|
// cases it seems to be triggering to some, and
|
|
// it isn't worth explaining, so just ignore
|
|
// and regress to the old UI that keeps giving
|
|
// you the "But wait, there is more!" after
|
|
// each "100% done" bar, which is "better."
|
|
return nil
|
|
}
|
|
|
|
if spinner != nil {
|
|
spinner.Stop()
|
|
}
|
|
|
|
bar, ok := bars[resp.Digest]
|
|
if !ok {
|
|
name, isDigest := strings.CutPrefix(resp.Digest, "sha256:")
|
|
name = strings.TrimSpace(name)
|
|
if isDigest {
|
|
name = name[:min(12, len(name))]
|
|
}
|
|
bar = progress.NewBar(fmt.Sprintf("pulling %s:", name), resp.Total, resp.Completed)
|
|
bars[resp.Digest] = bar
|
|
p.Add(resp.Digest, bar)
|
|
}
|
|
|
|
bar.Set(resp.Completed)
|
|
} else if status != resp.Status {
|
|
if spinner != nil {
|
|
spinner.Stop()
|
|
}
|
|
|
|
status = resp.Status
|
|
spinner = progress.NewSpinner(status)
|
|
p.Add(status, spinner)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
request := api.PullRequest{Name: args[0], Insecure: insecure}
|
|
return client.Pull(cmd.Context(), &request, fn)
|
|
}
|
|
|
|
type generateContextKey string
|
|
|
|
type runOptions struct {
|
|
Model string
|
|
ParentModel string
|
|
Prompt string
|
|
Messages []api.Message
|
|
WordWrap bool
|
|
Format string
|
|
System string
|
|
Images []api.ImageData
|
|
Options map[string]any
|
|
MultiModal bool
|
|
KeepAlive *api.Duration
|
|
Think *api.ThinkValue
|
|
HideThinking bool
|
|
ShowConnect bool
|
|
}
|
|
|
|
func (r runOptions) Copy() runOptions {
|
|
var messages []api.Message
|
|
if r.Messages != nil {
|
|
messages = make([]api.Message, len(r.Messages))
|
|
copy(messages, r.Messages)
|
|
}
|
|
|
|
var images []api.ImageData
|
|
if r.Images != nil {
|
|
images = make([]api.ImageData, len(r.Images))
|
|
copy(images, r.Images)
|
|
}
|
|
|
|
var opts map[string]any
|
|
if r.Options != nil {
|
|
opts = make(map[string]any, len(r.Options))
|
|
for k, v := range r.Options {
|
|
opts[k] = v
|
|
}
|
|
}
|
|
|
|
var think *api.ThinkValue
|
|
if r.Think != nil {
|
|
cThink := *r.Think
|
|
think = &cThink
|
|
}
|
|
|
|
return runOptions{
|
|
Model: r.Model,
|
|
ParentModel: r.ParentModel,
|
|
Prompt: r.Prompt,
|
|
Messages: messages,
|
|
WordWrap: r.WordWrap,
|
|
Format: r.Format,
|
|
System: r.System,
|
|
Images: images,
|
|
Options: opts,
|
|
MultiModal: r.MultiModal,
|
|
KeepAlive: r.KeepAlive,
|
|
Think: think,
|
|
HideThinking: r.HideThinking,
|
|
ShowConnect: r.ShowConnect,
|
|
}
|
|
}
|
|
|
|
type displayResponseState struct {
|
|
lineLength int
|
|
wordBuffer string
|
|
}
|
|
|
|
func displayResponse(content string, wordWrap bool, state *displayResponseState) {
|
|
termWidth, _, _ := term.GetSize(int(os.Stdout.Fd()))
|
|
if termWidth == 0 {
|
|
termWidth = 80
|
|
}
|
|
if wordWrap && termWidth >= 10 {
|
|
for _, ch := range content {
|
|
if state.lineLength+1 > termWidth-5 {
|
|
if runewidth.StringWidth(state.wordBuffer) > termWidth-10 {
|
|
fmt.Printf("%s%c", state.wordBuffer, ch)
|
|
state.wordBuffer = ""
|
|
state.lineLength = 0
|
|
continue
|
|
}
|
|
|
|
// backtrack the length of the last word and clear to the end of the line
|
|
a := runewidth.StringWidth(state.wordBuffer)
|
|
if a > 0 {
|
|
fmt.Printf("\x1b[%dD", a)
|
|
}
|
|
fmt.Printf("\x1b[K\n")
|
|
fmt.Printf("%s%c", state.wordBuffer, ch)
|
|
chWidth := runewidth.RuneWidth(ch)
|
|
|
|
state.lineLength = runewidth.StringWidth(state.wordBuffer) + chWidth
|
|
} else {
|
|
fmt.Print(string(ch))
|
|
state.lineLength += runewidth.RuneWidth(ch)
|
|
if runewidth.RuneWidth(ch) >= 2 {
|
|
state.wordBuffer = ""
|
|
continue
|
|
}
|
|
|
|
switch ch {
|
|
case ' ', '\t':
|
|
state.wordBuffer = ""
|
|
case '\n', '\r':
|
|
state.lineLength = 0
|
|
state.wordBuffer = ""
|
|
default:
|
|
state.wordBuffer += string(ch)
|
|
}
|
|
}
|
|
}
|
|
} else {
|
|
fmt.Printf("%s%s", state.wordBuffer, content)
|
|
if len(state.wordBuffer) > 0 {
|
|
state.wordBuffer = ""
|
|
}
|
|
}
|
|
}
|
|
|
|
func thinkingOutputOpeningText(plainText bool) string {
|
|
text := "Thinking...\n"
|
|
|
|
if plainText {
|
|
return text
|
|
}
|
|
|
|
return readline.ColorGrey + readline.ColorBold + text + readline.ColorDefault + readline.ColorGrey
|
|
}
|
|
|
|
func thinkingOutputClosingText(plainText bool) string {
|
|
text := "...done thinking.\n\n"
|
|
|
|
if plainText {
|
|
return text
|
|
}
|
|
|
|
return readline.ColorGrey + readline.ColorBold + text + readline.ColorDefault
|
|
}
|
|
|
|
func chat(cmd *cobra.Command, opts runOptions) (*api.Message, error) {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
p := progress.NewProgress(os.Stderr)
|
|
defer p.StopAndClear()
|
|
|
|
spinner := progress.NewSpinner("")
|
|
p.Add("", spinner)
|
|
|
|
cancelCtx, cancel := context.WithCancel(cmd.Context())
|
|
defer cancel()
|
|
|
|
sigChan := make(chan os.Signal, 1)
|
|
signal.Notify(sigChan, syscall.SIGINT)
|
|
|
|
go func() {
|
|
<-sigChan
|
|
cancel()
|
|
}()
|
|
|
|
var state *displayResponseState = &displayResponseState{}
|
|
var thinkingContent strings.Builder
|
|
var latest api.ChatResponse
|
|
var fullResponse strings.Builder
|
|
var thinkTagOpened bool = false
|
|
var thinkTagClosed bool = false
|
|
|
|
role := "assistant"
|
|
|
|
fn := func(response api.ChatResponse) error {
|
|
if response.Message.Content != "" || !opts.HideThinking {
|
|
p.StopAndClear()
|
|
}
|
|
|
|
latest = response
|
|
|
|
role = response.Message.Role
|
|
if response.Message.Thinking != "" && !opts.HideThinking {
|
|
if !thinkTagOpened {
|
|
fmt.Print(thinkingOutputOpeningText(false))
|
|
thinkTagOpened = true
|
|
thinkTagClosed = false
|
|
}
|
|
thinkingContent.WriteString(response.Message.Thinking)
|
|
displayResponse(response.Message.Thinking, opts.WordWrap, state)
|
|
}
|
|
|
|
content := response.Message.Content
|
|
if thinkTagOpened && !thinkTagClosed && (content != "" || len(response.Message.ToolCalls) > 0) {
|
|
if !strings.HasSuffix(thinkingContent.String(), "\n") {
|
|
fmt.Println()
|
|
}
|
|
fmt.Print(thinkingOutputClosingText(false))
|
|
thinkTagOpened = false
|
|
thinkTagClosed = true
|
|
state = &displayResponseState{}
|
|
}
|
|
// purposefully not putting thinking blocks in the response, which would
|
|
// only be needed if we later added tool calling to the cli (they get
|
|
// filtered out anyway since current models don't expect them unless you're
|
|
// about to finish some tool calls)
|
|
fullResponse.WriteString(content)
|
|
|
|
if response.Message.ToolCalls != nil {
|
|
toolCalls := response.Message.ToolCalls
|
|
if len(toolCalls) > 0 {
|
|
fmt.Print(renderToolCalls(toolCalls, false))
|
|
}
|
|
}
|
|
|
|
displayResponse(content, opts.WordWrap, state)
|
|
|
|
return nil
|
|
}
|
|
|
|
if opts.Format == "json" {
|
|
opts.Format = `"` + opts.Format + `"`
|
|
}
|
|
|
|
req := &api.ChatRequest{
|
|
Model: opts.Model,
|
|
Messages: opts.Messages,
|
|
Format: json.RawMessage(opts.Format),
|
|
Options: opts.Options,
|
|
Think: opts.Think,
|
|
}
|
|
|
|
if opts.KeepAlive != nil {
|
|
req.KeepAlive = opts.KeepAlive
|
|
}
|
|
|
|
if err := client.Chat(cancelCtx, req, fn); err != nil {
|
|
if errors.Is(err, context.Canceled) {
|
|
return nil, nil
|
|
}
|
|
|
|
// this error should ideally be wrapped properly by the client
|
|
if strings.Contains(err.Error(), "upstream error") {
|
|
p.StopAndClear()
|
|
fmt.Println("An error occurred while processing your message. Please try again.")
|
|
fmt.Println()
|
|
return nil, nil
|
|
}
|
|
return nil, err
|
|
}
|
|
|
|
if len(opts.Messages) > 0 {
|
|
fmt.Println()
|
|
fmt.Println()
|
|
}
|
|
|
|
verbose, err := cmd.Flags().GetBool("verbose")
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
if verbose {
|
|
latest.Summary()
|
|
}
|
|
|
|
return &api.Message{Role: role, Thinking: thinkingContent.String(), Content: fullResponse.String()}, nil
|
|
}
|
|
|
|
func generate(cmd *cobra.Command, opts runOptions) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
p := progress.NewProgress(os.Stderr)
|
|
defer p.StopAndClear()
|
|
|
|
spinner := progress.NewSpinner("")
|
|
p.Add("", spinner)
|
|
|
|
var latest api.GenerateResponse
|
|
|
|
generateContext, ok := cmd.Context().Value(generateContextKey("context")).([]int)
|
|
if !ok {
|
|
generateContext = []int{}
|
|
}
|
|
|
|
ctx, cancel := context.WithCancel(cmd.Context())
|
|
defer cancel()
|
|
|
|
sigChan := make(chan os.Signal, 1)
|
|
signal.Notify(sigChan, syscall.SIGINT)
|
|
|
|
go func() {
|
|
<-sigChan
|
|
cancel()
|
|
}()
|
|
|
|
var state *displayResponseState = &displayResponseState{}
|
|
var thinkingContent strings.Builder
|
|
var thinkTagOpened bool = false
|
|
var thinkTagClosed bool = false
|
|
|
|
plainText := !term.IsTerminal(int(os.Stdout.Fd()))
|
|
|
|
fn := func(response api.GenerateResponse) error {
|
|
latest = response
|
|
content := response.Response
|
|
|
|
if response.Response != "" || !opts.HideThinking {
|
|
p.StopAndClear()
|
|
}
|
|
|
|
if response.Thinking != "" && !opts.HideThinking {
|
|
if !thinkTagOpened {
|
|
fmt.Print(thinkingOutputOpeningText(plainText))
|
|
thinkTagOpened = true
|
|
thinkTagClosed = false
|
|
}
|
|
thinkingContent.WriteString(response.Thinking)
|
|
displayResponse(response.Thinking, opts.WordWrap, state)
|
|
}
|
|
|
|
if thinkTagOpened && !thinkTagClosed && (content != "" || len(response.ToolCalls) > 0) {
|
|
if !strings.HasSuffix(thinkingContent.String(), "\n") {
|
|
fmt.Println()
|
|
}
|
|
fmt.Print(thinkingOutputClosingText(plainText))
|
|
thinkTagOpened = false
|
|
thinkTagClosed = true
|
|
state = &displayResponseState{}
|
|
}
|
|
|
|
displayResponse(content, opts.WordWrap, state)
|
|
|
|
if response.ToolCalls != nil {
|
|
toolCalls := response.ToolCalls
|
|
if len(toolCalls) > 0 {
|
|
fmt.Print(renderToolCalls(toolCalls, plainText))
|
|
}
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
if opts.MultiModal {
|
|
opts.Prompt, opts.Images, err = extractFileData(opts.Prompt)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
}
|
|
|
|
if opts.Format == "json" {
|
|
opts.Format = `"` + opts.Format + `"`
|
|
}
|
|
|
|
request := api.GenerateRequest{
|
|
Model: opts.Model,
|
|
Prompt: opts.Prompt,
|
|
Context: generateContext,
|
|
Images: opts.Images,
|
|
Format: json.RawMessage(opts.Format),
|
|
System: opts.System,
|
|
Options: opts.Options,
|
|
KeepAlive: opts.KeepAlive,
|
|
Think: opts.Think,
|
|
}
|
|
|
|
if err := client.Generate(ctx, &request, fn); err != nil {
|
|
if errors.Is(err, context.Canceled) {
|
|
return nil
|
|
}
|
|
return err
|
|
}
|
|
|
|
if opts.Prompt != "" {
|
|
fmt.Println()
|
|
fmt.Println()
|
|
}
|
|
|
|
if !latest.Done {
|
|
return nil
|
|
}
|
|
|
|
verbose, err := cmd.Flags().GetBool("verbose")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if verbose {
|
|
latest.Summary()
|
|
}
|
|
|
|
ctx = context.WithValue(cmd.Context(), generateContextKey("context"), latest.Context)
|
|
cmd.SetContext(ctx)
|
|
|
|
return nil
|
|
}
|
|
|
|
func RunServer(_ *cobra.Command, _ []string) error {
|
|
if err := initializeKeypair(); err != nil {
|
|
return err
|
|
}
|
|
|
|
ln, err := net.Listen("tcp", envconfig.Host().Host)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
err = server.Serve(ln)
|
|
if errors.Is(err, http.ErrServerClosed) {
|
|
return nil
|
|
}
|
|
|
|
return err
|
|
}
|
|
|
|
func initializeKeypair() error {
|
|
home, err := os.UserHomeDir()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
privKeyPath := filepath.Join(home, ".ollama", "id_ed25519")
|
|
pubKeyPath := filepath.Join(home, ".ollama", "id_ed25519.pub")
|
|
|
|
_, err = os.Stat(privKeyPath)
|
|
if os.IsNotExist(err) {
|
|
fmt.Printf("Couldn't find '%s'. Generating new private key.\n", privKeyPath)
|
|
cryptoPublicKey, cryptoPrivateKey, err := ed25519.GenerateKey(rand.Reader)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
privateKeyBytes, err := ssh.MarshalPrivateKey(cryptoPrivateKey, "")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := os.MkdirAll(filepath.Dir(privKeyPath), 0o755); err != nil {
|
|
return fmt.Errorf("could not create directory %w", err)
|
|
}
|
|
|
|
if err := os.WriteFile(privKeyPath, pem.EncodeToMemory(privateKeyBytes), 0o600); err != nil {
|
|
return err
|
|
}
|
|
|
|
sshPublicKey, err := ssh.NewPublicKey(cryptoPublicKey)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
publicKeyBytes := ssh.MarshalAuthorizedKey(sshPublicKey)
|
|
|
|
if err := os.WriteFile(pubKeyPath, publicKeyBytes, 0o644); err != nil {
|
|
return err
|
|
}
|
|
|
|
fmt.Printf("Your new public key is: \n\n%s\n", publicKeyBytes)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func checkServerHeartbeat(cmd *cobra.Command, _ []string) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if err := client.Heartbeat(cmd.Context()); err != nil {
|
|
if !(strings.Contains(err.Error(), " refused") || strings.Contains(err.Error(), "could not connect")) {
|
|
return err
|
|
}
|
|
if err := startApp(cmd.Context(), client); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func versionHandler(cmd *cobra.Command, _ []string) {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return
|
|
}
|
|
|
|
serverVersion, err := client.Version(cmd.Context())
|
|
if err != nil {
|
|
fmt.Println("Warning: could not connect to a running Ollama instance")
|
|
}
|
|
|
|
if serverVersion != "" {
|
|
fmt.Printf("ollama version is %s\n", serverVersion)
|
|
}
|
|
|
|
if serverVersion != version.Version {
|
|
fmt.Printf("Warning: client version is %s\n", version.Version)
|
|
}
|
|
}
|
|
|
|
func appendEnvDocs(cmd *cobra.Command, envs []envconfig.EnvVar) {
|
|
if len(envs) == 0 {
|
|
return
|
|
}
|
|
|
|
envUsage := `
|
|
Environment Variables:
|
|
`
|
|
for _, e := range envs {
|
|
envUsage += fmt.Sprintf(" %-24s %s\n", e.Name, e.Description)
|
|
}
|
|
|
|
cmd.SetUsageTemplate(cmd.UsageTemplate() + envUsage)
|
|
}
|
|
|
|
// ensureServerRunning checks if the ollama server is running and starts it in the background if not.
|
|
func ensureServerRunning(ctx context.Context) error {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Check if server is already running
|
|
if err := client.Heartbeat(ctx); err == nil {
|
|
return nil // server is already running
|
|
}
|
|
|
|
// Server not running, start it in the background
|
|
exe, err := os.Executable()
|
|
if err != nil {
|
|
return fmt.Errorf("could not find executable: %w", err)
|
|
}
|
|
|
|
serverCmd := exec.CommandContext(ctx, exe, "serve")
|
|
serverCmd.Env = os.Environ()
|
|
serverCmd.SysProcAttr = backgroundServerSysProcAttr()
|
|
if err := serverCmd.Start(); err != nil {
|
|
return fmt.Errorf("failed to start server: %w", err)
|
|
}
|
|
|
|
// Wait for the server to be ready
|
|
for {
|
|
time.Sleep(500 * time.Millisecond)
|
|
if err := client.Heartbeat(ctx); err == nil {
|
|
return nil // server has started
|
|
}
|
|
}
|
|
}
|
|
|
|
func launchInteractiveModel(cmd *cobra.Command, modelName string) error {
|
|
opts := runOptions{
|
|
Model: modelName,
|
|
WordWrap: os.Getenv("TERM") == "xterm-256color",
|
|
Options: map[string]any{},
|
|
ShowConnect: true,
|
|
}
|
|
// loadOrUnloadModel is cloud-safe here: remote/cloud models skip local preload
|
|
// and only validate auth/connectivity before interactive chat starts.
|
|
if err := loadOrUnloadModel(cmd, &opts); err != nil {
|
|
return fmt.Errorf("error loading model: %w", err)
|
|
}
|
|
if err := generateInteractive(cmd, opts); err != nil {
|
|
return fmt.Errorf("error running model: %w", err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// runInteractiveTUI runs the main interactive TUI menu.
|
|
func runInteractiveTUI(cmd *cobra.Command) {
|
|
// Ensure the server is running before showing the TUI
|
|
if err := ensureServerRunning(cmd.Context()); err != nil {
|
|
fmt.Fprintf(os.Stderr, "Error starting server: %v\n", err)
|
|
return
|
|
}
|
|
|
|
deps := launcherDeps{
|
|
buildState: launch.BuildLauncherState,
|
|
runMenu: tui.RunMenu,
|
|
resolveRunModel: launch.ResolveRunModel,
|
|
launchIntegration: launch.LaunchIntegration,
|
|
runModel: launchInteractiveModel,
|
|
}
|
|
|
|
for {
|
|
continueLoop, err := runInteractiveTUIStep(cmd, deps)
|
|
if err != nil {
|
|
fmt.Fprintf(os.Stderr, "Error: %v\n", err)
|
|
}
|
|
if !continueLoop {
|
|
return
|
|
}
|
|
}
|
|
}
|
|
|
|
type launcherDeps struct {
|
|
buildState func(context.Context) (*launch.LauncherState, error)
|
|
runMenu func(*launch.LauncherState) (tui.TUIAction, error)
|
|
resolveRunModel func(context.Context, launch.RunModelRequest) (string, error)
|
|
launchIntegration func(context.Context, launch.IntegrationLaunchRequest) error
|
|
runModel func(*cobra.Command, string) error
|
|
}
|
|
|
|
func runInteractiveTUIStep(cmd *cobra.Command, deps launcherDeps) (bool, error) {
|
|
state, err := deps.buildState(cmd.Context())
|
|
if err != nil {
|
|
return false, fmt.Errorf("build launcher state: %w", err)
|
|
}
|
|
|
|
action, err := deps.runMenu(state)
|
|
if err != nil {
|
|
return false, fmt.Errorf("run launcher menu: %w", err)
|
|
}
|
|
|
|
return runLauncherAction(cmd, action, deps)
|
|
}
|
|
|
|
func saveLauncherSelection(action tui.TUIAction) {
|
|
// Best effort only: this affects menu recall, not launch correctness.
|
|
_ = config.SetLastSelection(action.LastSelection())
|
|
}
|
|
|
|
func runLauncherAction(cmd *cobra.Command, action tui.TUIAction, deps launcherDeps) (bool, error) {
|
|
switch action.Kind {
|
|
case tui.TUIActionNone:
|
|
return false, nil
|
|
case tui.TUIActionRunModel:
|
|
saveLauncherSelection(action)
|
|
modelName, err := deps.resolveRunModel(cmd.Context(), action.RunModelRequest())
|
|
if errors.Is(err, launch.ErrCancelled) {
|
|
return true, nil
|
|
}
|
|
if err != nil {
|
|
return true, fmt.Errorf("selecting model: %w", err)
|
|
}
|
|
if err := deps.runModel(cmd, modelName); err != nil {
|
|
return true, err
|
|
}
|
|
return true, nil
|
|
case tui.TUIActionLaunchIntegration:
|
|
saveLauncherSelection(action)
|
|
err := deps.launchIntegration(cmd.Context(), action.IntegrationLaunchRequest())
|
|
if errors.Is(err, launch.ErrCancelled) {
|
|
return true, nil
|
|
}
|
|
if err != nil {
|
|
return true, fmt.Errorf("launching %s: %w", action.Integration, err)
|
|
}
|
|
// VS Code is a GUI app — exit the TUI loop after launching
|
|
if action.Integration == "vscode" {
|
|
return false, nil
|
|
}
|
|
return true, nil
|
|
default:
|
|
return false, fmt.Errorf("unknown launcher action: %d", action.Kind)
|
|
}
|
|
}
|
|
|
|
func NewCLI() *cobra.Command {
|
|
log.SetFlags(log.LstdFlags | log.Lshortfile)
|
|
cobra.EnableCommandSorting = false
|
|
|
|
if runtime.GOOS == "windows" && term.IsTerminal(int(os.Stdout.Fd())) {
|
|
console.ConsoleFromFile(os.Stdin) //nolint:errcheck
|
|
}
|
|
|
|
rootCmd := &cobra.Command{
|
|
Use: "ollama",
|
|
Short: "Large language model runner",
|
|
SilenceUsage: true,
|
|
SilenceErrors: true,
|
|
CompletionOptions: cobra.CompletionOptions{
|
|
DisableDefaultCmd: true,
|
|
},
|
|
Run: func(cmd *cobra.Command, args []string) {
|
|
if version, _ := cmd.Flags().GetBool("version"); version {
|
|
versionHandler(cmd, args)
|
|
return
|
|
}
|
|
|
|
runInteractiveTUI(cmd)
|
|
},
|
|
}
|
|
|
|
rootCmd.Flags().BoolP("version", "v", false, "Show version information")
|
|
rootCmd.Flags().Bool("verbose", false, "Show timings for response")
|
|
rootCmd.Flags().Bool("nowordwrap", false, "Don't wrap words to the next line automatically")
|
|
|
|
createCmd := &cobra.Command{
|
|
Use: "create MODEL",
|
|
Short: "Create a model",
|
|
Args: cobra.ExactArgs(1),
|
|
PreRunE: func(cmd *cobra.Command, args []string) error {
|
|
// Skip server check for experimental mode (writes directly to disk)
|
|
if experimental, _ := cmd.Flags().GetBool("experimental"); experimental {
|
|
return nil
|
|
}
|
|
return checkServerHeartbeat(cmd, args)
|
|
},
|
|
RunE: CreateHandler,
|
|
}
|
|
|
|
createCmd.Flags().StringP("file", "f", "", "Name of the Modelfile (default \"Modelfile\")")
|
|
createCmd.Flags().StringP("quantize", "q", "", "Quantize model to this level (e.g. q4_K_M)")
|
|
createCmd.Flags().Bool("experimental", false, "Enable experimental safetensors model creation")
|
|
|
|
showCmd := &cobra.Command{
|
|
Use: "show MODEL",
|
|
Short: "Show information for a model",
|
|
Args: cobra.ExactArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: ShowHandler,
|
|
}
|
|
|
|
showCmd.Flags().Bool("license", false, "Show license of a model")
|
|
showCmd.Flags().Bool("modelfile", false, "Show Modelfile of a model")
|
|
showCmd.Flags().Bool("parameters", false, "Show parameters of a model")
|
|
showCmd.Flags().Bool("template", false, "Show template of a model")
|
|
showCmd.Flags().Bool("system", false, "Show system message of a model")
|
|
showCmd.Flags().BoolP("verbose", "v", false, "Show detailed model information")
|
|
|
|
runCmd := &cobra.Command{
|
|
Use: "run MODEL [PROMPT]",
|
|
Short: "Run a model",
|
|
Args: cobra.MinimumNArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: RunHandler,
|
|
}
|
|
|
|
runCmd.Flags().String("keepalive", "", "Duration to keep a model loaded (e.g. 5m)")
|
|
runCmd.Flags().Bool("verbose", false, "Show timings for response")
|
|
runCmd.Flags().Bool("insecure", false, "Use an insecure registry")
|
|
runCmd.Flags().Bool("nowordwrap", false, "Don't wrap words to the next line automatically")
|
|
runCmd.Flags().String("format", "", "Response format (e.g. json)")
|
|
runCmd.Flags().String("think", "", "Enable thinking mode: true/false or high/medium/low for supported models")
|
|
runCmd.Flags().Lookup("think").NoOptDefVal = "true"
|
|
runCmd.Flags().Bool("hidethinking", false, "Hide thinking output (if provided)")
|
|
runCmd.Flags().Bool("truncate", false, "For embedding models: truncate inputs exceeding context length (default: true). Set --truncate=false to error instead")
|
|
runCmd.Flags().Int("dimensions", 0, "Truncate output embeddings to specified dimension (embedding models only)")
|
|
runCmd.Flags().Bool("experimental", false, "Enable experimental agent loop with tools")
|
|
runCmd.Flags().Bool("experimental-yolo", false, "Skip all tool approval prompts (use with caution)")
|
|
runCmd.Flags().Bool("experimental-websearch", false, "Enable web search tool in experimental mode")
|
|
|
|
// Image generation flags (width, height, steps, seed, etc.)
|
|
imagegen.RegisterFlags(runCmd)
|
|
|
|
runCmd.Flags().Bool("imagegen", false, "Use the imagegen runner for LLM inference")
|
|
runCmd.Flags().MarkHidden("imagegen")
|
|
|
|
stopCmd := &cobra.Command{
|
|
Use: "stop MODEL",
|
|
Short: "Stop a running model",
|
|
Args: cobra.ExactArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: StopHandler,
|
|
}
|
|
|
|
serveCmd := &cobra.Command{
|
|
Use: "serve",
|
|
Aliases: []string{"start"},
|
|
Short: "Start Ollama",
|
|
Args: cobra.ExactArgs(0),
|
|
RunE: RunServer,
|
|
}
|
|
|
|
pullCmd := &cobra.Command{
|
|
Use: "pull MODEL",
|
|
Short: "Pull a model from a registry",
|
|
Args: cobra.ExactArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: PullHandler,
|
|
}
|
|
|
|
pullCmd.Flags().Bool("insecure", false, "Use an insecure registry")
|
|
|
|
pushCmd := &cobra.Command{
|
|
Use: "push MODEL",
|
|
Short: "Push a model to a registry",
|
|
Args: cobra.ExactArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: PushHandler,
|
|
}
|
|
|
|
pushCmd.Flags().Bool("insecure", false, "Use an insecure registry")
|
|
|
|
signinCmd := &cobra.Command{
|
|
Use: "signin",
|
|
Short: "Sign in to ollama.com",
|
|
Args: cobra.ExactArgs(0),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: SigninHandler,
|
|
}
|
|
|
|
loginCmd := &cobra.Command{
|
|
Use: "login",
|
|
Short: "Sign in to ollama.com",
|
|
Hidden: true,
|
|
Args: cobra.ExactArgs(0),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: SigninHandler,
|
|
}
|
|
|
|
signoutCmd := &cobra.Command{
|
|
Use: "signout",
|
|
Short: "Sign out from ollama.com",
|
|
Args: cobra.ExactArgs(0),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: SignoutHandler,
|
|
}
|
|
|
|
logoutCmd := &cobra.Command{
|
|
Use: "logout",
|
|
Short: "Sign out from ollama.com",
|
|
Hidden: true,
|
|
Args: cobra.ExactArgs(0),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: SignoutHandler,
|
|
}
|
|
|
|
listCmd := &cobra.Command{
|
|
Use: "list",
|
|
Aliases: []string{"ls"},
|
|
Short: "List models",
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: ListHandler,
|
|
}
|
|
|
|
psCmd := &cobra.Command{
|
|
Use: "ps",
|
|
Short: "List running models",
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: ListRunningHandler,
|
|
}
|
|
copyCmd := &cobra.Command{
|
|
Use: "cp SOURCE DESTINATION",
|
|
Short: "Copy a model",
|
|
Args: cobra.ExactArgs(2),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: CopyHandler,
|
|
}
|
|
|
|
deleteCmd := &cobra.Command{
|
|
Use: "rm MODEL [MODEL...]",
|
|
Short: "Remove a model",
|
|
Args: cobra.MinimumNArgs(1),
|
|
PreRunE: checkServerHeartbeat,
|
|
RunE: DeleteHandler,
|
|
}
|
|
|
|
runnerCmd := &cobra.Command{
|
|
Use: "runner",
|
|
Hidden: true,
|
|
RunE: func(cmd *cobra.Command, args []string) error {
|
|
return runner.Execute(os.Args[1:])
|
|
},
|
|
FParseErrWhitelist: cobra.FParseErrWhitelist{UnknownFlags: true},
|
|
}
|
|
runnerCmd.SetHelpFunc(func(cmd *cobra.Command, args []string) {
|
|
_ = runner.Execute(args[1:])
|
|
})
|
|
|
|
envVars := envconfig.AsMap()
|
|
|
|
envs := []envconfig.EnvVar{envVars["OLLAMA_HOST"]}
|
|
|
|
for _, cmd := range []*cobra.Command{
|
|
createCmd,
|
|
showCmd,
|
|
runCmd,
|
|
stopCmd,
|
|
pullCmd,
|
|
pushCmd,
|
|
listCmd,
|
|
psCmd,
|
|
copyCmd,
|
|
deleteCmd,
|
|
serveCmd,
|
|
} {
|
|
switch cmd {
|
|
case runCmd:
|
|
imagegen.AppendFlagsDocs(cmd)
|
|
appendEnvDocs(cmd, []envconfig.EnvVar{envVars["OLLAMA_EDITOR"], envVars["OLLAMA_HOST"], envVars["OLLAMA_NOHISTORY"]})
|
|
case serveCmd:
|
|
appendEnvDocs(cmd, []envconfig.EnvVar{
|
|
envVars["OLLAMA_DEBUG"],
|
|
envVars["OLLAMA_HOST"],
|
|
envVars["OLLAMA_CONTEXT_LENGTH"],
|
|
envVars["OLLAMA_KEEP_ALIVE"],
|
|
envVars["OLLAMA_MAX_LOADED_MODELS"],
|
|
envVars["OLLAMA_MAX_QUEUE"],
|
|
envVars["OLLAMA_MODELS"],
|
|
envVars["OLLAMA_NUM_PARALLEL"],
|
|
envVars["OLLAMA_NO_CLOUD"],
|
|
envVars["OLLAMA_NOPRUNE"],
|
|
envVars["OLLAMA_ORIGINS"],
|
|
envVars["OLLAMA_SCHED_SPREAD"],
|
|
envVars["OLLAMA_FLASH_ATTENTION"],
|
|
envVars["OLLAMA_KV_CACHE_TYPE"],
|
|
envVars["OLLAMA_LLM_LIBRARY"],
|
|
envVars["OLLAMA_GPU_OVERHEAD"],
|
|
envVars["OLLAMA_LOAD_TIMEOUT"],
|
|
})
|
|
default:
|
|
appendEnvDocs(cmd, envs)
|
|
}
|
|
}
|
|
|
|
rootCmd.AddCommand(
|
|
serveCmd,
|
|
createCmd,
|
|
showCmd,
|
|
runCmd,
|
|
stopCmd,
|
|
pullCmd,
|
|
pushCmd,
|
|
signinCmd,
|
|
loginCmd,
|
|
signoutCmd,
|
|
logoutCmd,
|
|
listCmd,
|
|
psCmd,
|
|
copyCmd,
|
|
deleteCmd,
|
|
runnerCmd,
|
|
launch.LaunchCmd(checkServerHeartbeat, runInteractiveTUI),
|
|
)
|
|
|
|
return rootCmd
|
|
}
|
|
|
|
// If the user has explicitly set thinking options, either through the CLI or
|
|
// through the `/set think` or `set nothink` interactive options, then we
|
|
// respect them. Otherwise, we check model capabilities to see if the model
|
|
// supports thinking. If the model does support thinking, we enable it.
|
|
// Otherwise, we unset the thinking option (which is different than setting it
|
|
// to false).
|
|
//
|
|
// If capabilities are not provided, we fetch them from the server.
|
|
func inferThinkingOption(caps *[]model.Capability, runOpts *runOptions, explicitlySetByUser bool) (*api.ThinkValue, error) {
|
|
if explicitlySetByUser {
|
|
return runOpts.Think, nil
|
|
}
|
|
|
|
if caps == nil {
|
|
client, err := api.ClientFromEnvironment()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ret, err := client.Show(context.Background(), &api.ShowRequest{
|
|
Model: runOpts.Model,
|
|
})
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
caps = &ret.Capabilities
|
|
}
|
|
|
|
thinkingSupported := false
|
|
for _, cap := range *caps {
|
|
if cap == model.CapabilityThinking {
|
|
thinkingSupported = true
|
|
}
|
|
}
|
|
|
|
if thinkingSupported {
|
|
return &api.ThinkValue{Value: true}, nil
|
|
}
|
|
|
|
return nil, nil
|
|
}
|
|
|
|
func renderToolCalls(toolCalls []api.ToolCall, plainText bool) string {
|
|
out := ""
|
|
formatExplanation := ""
|
|
formatValues := ""
|
|
if !plainText {
|
|
formatExplanation = readline.ColorGrey + readline.ColorBold
|
|
formatValues = readline.ColorDefault
|
|
out += formatExplanation
|
|
}
|
|
for i, toolCall := range toolCalls {
|
|
argsAsJSON, err := json.Marshal(toolCall.Function.Arguments)
|
|
if err != nil {
|
|
return ""
|
|
}
|
|
if i > 0 {
|
|
out += "\n"
|
|
}
|
|
// all tool calls are unexpected since we don't currently support registering any in the CLI
|
|
out += fmt.Sprintf(" Model called a non-existent function '%s()' with arguments: %s", formatValues+toolCall.Function.Name+formatExplanation, formatValues+string(argsAsJSON)+formatExplanation)
|
|
}
|
|
if !plainText {
|
|
out += readline.ColorDefault
|
|
}
|
|
return out
|
|
}
|