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160 changes: 160 additions & 0 deletions go/plugins/ollama/model.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,160 @@
package ollama

import (
"errors"

"github.com/firebase/genkit/go/ai"
)

var topLevelOpts = map[string]struct{}{
"think": {},
"keep_alive": {},
}

// Ollama has two API endpoints, one with a chat interface and another with a generate response interface.
// That's why have multiple request interfaces for the Ollama API below.

/*
TODO: Support optional, advanced parameters:
format: the format to return a response in. Currently the only accepted value is json
options: additional model parameters listed in the documentation for the Modelfile such as temperature
system: system message to (overrides what is defined in the Modelfile)
template: the prompt template to use (overrides what is defined in the Modelfile)
context: the context parameter returned from a previous request to /generate, this can be used to keep a short conversational memory
stream: if false the response will be returned as a single response object, rather than a stream of objects
raw: if true no formatting will be applied to the prompt. You may choose to use the raw parameter if you are specifying a full templated prompt in your request to the API
*/
type ollamaChatRequest struct {
Messages []*ollamaMessage `json:"messages"`
Images []string `json:"images,omitempty"`
Model string `json:"model"`
Stream bool `json:"stream"`
Format string `json:"format,omitempty"`
Tools []ollamaTool `json:"tools,omitempty"`
Think any `json:"think,omitempty"`
Options map[string]any `json:"options,omitempty"`
KeepAlive string `json:"keep_alive,omitempty"`
}

func (o *ollamaChatRequest) ApplyOptions(cfg any) error {
if cfg == nil {
return nil
}

switch cfg := cfg.(type) {
case GenerateContentConfig:
o.applyGenerateContentConfig(&cfg)
return nil
case *GenerateContentConfig:
o.applyGenerateContentConfig(cfg)
return nil
case map[string]any:
return o.applyMapAny(cfg)
case *ai.GenerationCommonConfig:
return o.applyGenerationCommonConfig(cfg)
case ai.GenerationCommonConfig:
return o.applyGenerationCommonConfig(&cfg)
default:
return errors.New("unknown generation config")
}
}
func (o *ollamaChatRequest) applyGenerateContentConfig(cfg *GenerateContentConfig) {
if cfg == nil {
return
}

// thinking
if cfg.Think != nil {
o.Think = cfg.Think
}

// runtime options
opts := map[string]any{}

if cfg.Seed != nil {
opts["seed"] = *cfg.Seed
}
if cfg.Temperature != nil {
opts["temperature"] = *cfg.Temperature
}
if cfg.TopK != nil {
opts["top_k"] = *cfg.TopK
}
if cfg.TopP != nil {
opts["top_p"] = *cfg.TopP
}
if cfg.MinP != nil {
opts["min_p"] = *cfg.MinP
}
if len(cfg.Stop) > 0 {
opts["stop"] = cfg.Stop
}
if cfg.NumCtx != nil {
opts["num_ctx"] = *cfg.NumCtx
}
if cfg.NumPredict != nil {
opts["num_predict"] = *cfg.NumPredict
}

if len(opts) > 0 {
o.Options = opts
}
}
func (o *ollamaChatRequest) applyGenerationCommonConfig(cfg *ai.GenerationCommonConfig) error {
if cfg == nil {
return nil
}

opts := map[string]any{}

if cfg.MaxOutputTokens > 0 {
opts["num_predict"] = cfg.MaxOutputTokens
}
if len(cfg.StopSequences) > 0 {
opts["stop"] = cfg.StopSequences
}
if cfg.Temperature != 0 {
opts["temperature"] = cfg.Temperature
}
if cfg.TopK > 0 {
opts["top_k"] = cfg.TopK
}
if cfg.TopP > 0 {
opts["top_p"] = cfg.TopP
}

if len(opts) > 0 {
o.Options = opts
}

return nil
}

func (o *ollamaChatRequest) applyMapAny(m map[string]any) error {
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See my comment above for the suggested refactor

if len(m) == 0 {
return nil
}
opts := map[string]any{}
for k, v := range m {
if _, isTopLevel := topLevelOpts[k]; isTopLevel {
switch k {
case "think":
o.Think = v
case "keep_alive":
if s, ok := v.(string); ok {
o.KeepAlive = s
} else {
return errors.New("keep_alive must be string")
}
}
continue
}
opts[k] = v
}

if len(opts) > 0 {
o.Options = opts
}

return nil
}
129 changes: 129 additions & 0 deletions go/plugins/ollama/model_test.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,129 @@
package ollama

import (
"reflect"
"testing"

"github.com/firebase/genkit/go/ai"
)

func TestOllamaChatRequest_ApplyOptions(t *testing.T) {
seed := 42
temp := 0.7

tests := []struct {
name string
cfg any
want *ollamaChatRequest
wantErr bool
}{
{
name: "GenerateContentConfig pointer",
cfg: &GenerateContentConfig{
Seed: &seed,
Temperature: &temp,
Think: true,
},
want: &ollamaChatRequest{
Think: true,
Options: map[string]any{
"seed": seed,
"temperature": temp,
},
},
},
{
name: "GenerateContentConfig value",
cfg: GenerateContentConfig{
Seed: &seed,
Think: true,
},
want: &ollamaChatRequest{
Think: true,
Options: map[string]any{
"seed": seed,
},
},
},
{
name: "map[string]any with opts only",
cfg: map[string]any{
"temperature": 0.5,
"top_k": 40,
},
want: &ollamaChatRequest{
Options: map[string]any{
"temperature": 0.5,
"top_k": 40,
},
},
},
{
name: "map[string]any with top level fields",
cfg: map[string]any{
"think": true,
"keep_alive": "10m",
},
want: &ollamaChatRequest{
Think: true,
KeepAlive: "10m",
},
},
{
name: "map[string]any mixed main and opts",
cfg: map[string]any{
"temperature": 0.9,
"think": true,
},
want: &ollamaChatRequest{
Think: true,
Options: map[string]any{
"temperature": 0.9,
},
},
},
{
name: "GenerationCommonConfig pointer",
cfg: &ai.GenerationCommonConfig{
Temperature: temp,
},
want: &ollamaChatRequest{
Options: map[string]any{
"temperature": temp,
},
},
},
{
name: "nil config",
cfg: nil,
want: &ollamaChatRequest{},
},
}

for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
req := &ollamaChatRequest{}

err := req.ApplyOptions(tt.cfg)

if tt.wantErr {
if err == nil {
t.Fatalf("expected error, got nil")
}
return
}

if err != nil {
t.Fatalf("unexpected error: %v", err)
}

if !reflect.DeepEqual(req, tt.want) {
t.Errorf(
"unexpected result:\nwant: %#v\n got: %#v",
tt.want,
req,
)
}
})
}
}
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