Support loading prompt from yml file

cmd/run/run.go

@@ -21,6 +21,7 @@ import (
 	"github.com/github/gh-models/pkg/util"
 	"github.com/spf13/cobra"
 	"github.com/spf13/pflag"
+	"gopkg.in/yaml.v3"
 )
 
 // ModelParameters represents the parameters that can be set for a model run.
@@ -188,6 +189,22 @@ func isPipe(r io.Reader) bool {
 	return false
 }
 
+// promptFile mirrors the format of .prompt.yml
+type promptFile struct {
+	Name            string `yaml:"name"`
+	Description     string `yaml:"description"`
+	Model           string `yaml:"model"`
+	ModelParameters struct {
+		MaxTokens   *int     `yaml:"maxTokens"`
+		Temperature *float64 `yaml:"temperature"`
+		TopP        *float64 `yaml:"topP"`
+	} `yaml:"modelParameters"`
+	Messages []struct {
+		Role    string `yaml:"role"`
+		Content string `yaml:"content"`
+	} `yaml:"messages"`
+}
+
 // NewRunCommand returns a new gh command for running a model.
 func NewRunCommand(cfg *command.Config) *cobra.Command {
 	cmd := &cobra.Command{
@@ -208,6 +225,24 @@ func NewRunCommand(cfg *command.Config) *cobra.Command {
 		Example: "gh models run openai/gpt-4o-mini \"how many types of hyena are there?\"",
 		Args:    cobra.ArbitraryArgs,
 		RunE: func(cmd *cobra.Command, args []string) error {
+			filePath, _ := cmd.Flags().GetString("file")
+			var pf *promptFile
+			if filePath != "" {
+				b, err := os.ReadFile(filePath)
+				if err != nil {
+					return err
+				}
+				p := promptFile{}
+				if err := yaml.Unmarshal(b, &p); err != nil {
+					return err
+				}
+				pf = &p
+				// Inject model name as the first positional arg if user didn't supply one
+				if pf.Model != "" && len(args) == 0 {
+					args = append([]string{pf.Model}, args...)
+				}
+			}
+
 			cmdHandler := newRunCommandHandler(cmd, cfg, args)
 			if cmdHandler == nil {
 				return nil
@@ -248,12 +283,36 @@ func NewRunCommand(cfg *command.Config) *cobra.Command {
 				systemPrompt: systemPrompt,
 			}
 
+			// preload conversation & parameters from YAML
+			if pf != nil {
+				for _, m := range pf.Messages {
+					switch strings.ToLower(m.Role) {
+					case "system":
+						if conversation.systemPrompt == "" {
+							conversation.systemPrompt = m.Content
+						} else {
+							conversation.AddMessage(azuremodels.ChatMessageRoleSystem, m.Content)
+						}
+					case "user":
+						conversation.AddMessage(azuremodels.ChatMessageRoleUser, m.Content)
+					case "assistant":
+						conversation.AddMessage(azuremodels.ChatMessageRoleAssistant, m.Content)
+					}
+				}
+			}
+
 			mp := ModelParameters{}
 			err = mp.PopulateFromFlags(cmd.Flags())
 			if err != nil {
 				return err
 			}
 
+			if pf != nil {
+				mp.maxTokens = pf.ModelParameters.MaxTokens
+				mp.temperature = pf.ModelParameters.Temperature
+				mp.topP = pf.ModelParameters.TopP
+			}
+
 			for {
 				prompt := ""
 				if initialPrompt != "" {
@@ -369,6 +428,7 @@ func NewRunCommand(cfg *command.Config) *cobra.Command {
 		},
 	}
 
+	cmd.Flags().String("file", "", "Path to a .prompt.yml file.")
 	cmd.Flags().String("max-tokens", "", "Limit the maximum tokens for the model response.")
 	cmd.Flags().String("temperature", "", "Controls randomness in the response, use lower to be more deterministic.")
 	cmd.Flags().String("top-p", "", "Controls text diversity by selecting the most probable words until a set probability is reached.")

cmd/run/run_test.go

@@ -3,6 +3,7 @@ package run
 import (
 	"bytes"
 	"context"
+	"os"
 	"regexp"
 	"testing"
 
@@ -80,4 +81,73 @@ func TestRun(t *testing.T) {
 		require.Regexp(t, regexp.MustCompile(`--top-p string\s+Controls text diversity by selecting the most probable words until a set probability is reached\.`), output)
 		require.Empty(t, errBuf.String())
 	})
+
+	t.Run("--file pre-loads YAML from file", func(t *testing.T) {
+		const yamlBody = `
+name: Text Summarizer
+description: Summarizes input text concisely
+model: openai/test-model
+modelParameters:
+  temperature: 0.5
+messages:
+  - role: system
+    content: You are a text summarizer.
+  - role: user
+    content: Hello there!
+`
+		tmp, err := os.CreateTemp(t.TempDir(), "*.prompt.yml")
+		require.NoError(t, err)
+		_, err = tmp.WriteString(yamlBody)
+		require.NoError(t, err)
+		require.NoError(t, tmp.Close())
+
+		client := azuremodels.NewMockClient()
+		modelSummary := &azuremodels.ModelSummary{
+			Name:      "test-model",
+			Publisher: "openai",
+			Task:      "chat-completion",
+		}
+		client.MockListModels = func(ctx context.Context) ([]*azuremodels.ModelSummary, error) {
+			return []*azuremodels.ModelSummary{modelSummary}, nil
+		}
+
+		var capturedReq azuremodels.ChatCompletionOptions
+		reply := "Summary - foo"
+		chatCompletion := azuremodels.ChatCompletion{
+			Choices: []azuremodels.ChatChoice{{
+				Message: &azuremodels.ChatChoiceMessage{
+					Content: util.Ptr(reply),
+					Role:    util.Ptr(string(azuremodels.ChatMessageRoleAssistant)),
+				},
+			}},
+		}
+		client.MockGetChatCompletionStream = func(ctx context.Context, opt azuremodels.ChatCompletionOptions) (*azuremodels.ChatCompletionResponse, error) {
+			capturedReq = opt
+			return &azuremodels.ChatCompletionResponse{
+				Reader: sse.NewMockEventReader([]azuremodels.ChatCompletion{chatCompletion}),
+			}, nil
+		}
+
+		out := new(bytes.Buffer)
+		cfg := command.NewConfig(out, out, client, true, 100)
+		runCmd := NewRunCommand(cfg)
+		runCmd.SetArgs([]string{
+			"--file", tmp.Name(),
+			azuremodels.FormatIdentifier("openai", "test-model"),
+			"foo?",
+		})
+
+		_, err = runCmd.ExecuteC()
+		require.NoError(t, err)
+
+		require.Equal(t, 3, len(capturedReq.Messages))
+		require.Equal(t, "You are a text summarizer.", *capturedReq.Messages[0].Content)
+		require.Equal(t, "Hello there!", *capturedReq.Messages[1].Content)
+		require.Equal(t, "foo?", *capturedReq.Messages[2].Content)
+
+		require.NotNil(t, capturedReq.Temperature)
+		require.Equal(t, 0.5, *capturedReq.Temperature)
+
+		require.Contains(t, out.String(), reply) // response streamed to output
+	})
 }

s.prompt.yml

@@ -0,0 +1,14 @@
+name: Text Summarizer
+description: Summarizes input text concisely
+model: openai/gpt-4o-mini
+modelParameters:
+  temperature: 0.5
+messages:
+  - role: system
+    content: You are a text summarizer. Your only job is to summarize text given to you.
+  - role: user
+    content: |
+      Summarize the given text, beginning with "Summary -":
+      <text>
+      {{input}}
+      </text>