waveterm/pkg/waveai/waveai.go

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// Copyright 2024, Command Line Inc.
// SPDX-License-Identifier: Apache-2.0
package waveai
import (
"context"
"log"
"time"
"github.com/wavetermdev/waveterm/pkg/telemetry"
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"github.com/wavetermdev/waveterm/pkg/wshrpc"
)
const OpenAIPacketStr = "openai"
const OpenAICloudReqStr = "openai-cloudreq"
const PacketEOFStr = "EOF"
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const DefaultAzureAPIVersion = "2023-05-15"
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const ApiType_Anthropic = "anthropic"
type OpenAICmdInfoPacketOutputType struct {
Model string `json:"model,omitempty"`
Created int64 `json:"created,omitempty"`
FinishReason string `json:"finish_reason,omitempty"`
Message string `json:"message,omitempty"`
Error string `json:"error,omitempty"`
}
func MakeOpenAIPacket() *wshrpc.OpenAIPacketType {
return &wshrpc.OpenAIPacketType{Type: OpenAIPacketStr}
}
type OpenAICmdInfoChatMessage struct {
MessageID int `json:"messageid"`
IsAssistantResponse bool `json:"isassistantresponse,omitempty"`
AssistantResponse *OpenAICmdInfoPacketOutputType `json:"assistantresponse,omitempty"`
UserQuery string `json:"userquery,omitempty"`
UserEngineeredQuery string `json:"userengineeredquery,omitempty"`
}
type AIBackend interface {
StreamCompletion(
ctx context.Context,
request wshrpc.OpenAiStreamRequest,
) chan wshrpc.RespOrErrorUnion[wshrpc.OpenAIPacketType]
}
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const DefaultMaxTokens = 2048
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const DefaultModel = "gpt-4o-mini"
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const WCloudWSEndpoint = "wss://wsapi.waveterm.dev/"
const WCloudWSEndpointVarName = "WCLOUD_WS_ENDPOINT"
const CloudWebsocketConnectTimeout = 1 * time.Minute
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func IsCloudAIRequest(opts *wshrpc.OpenAIOptsType) bool {
if opts == nil {
return true
}
return opts.BaseURL == "" && opts.APIToken == ""
}
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func makeAIError(err error) wshrpc.RespOrErrorUnion[wshrpc.OpenAIPacketType] {
return wshrpc.RespOrErrorUnion[wshrpc.OpenAIPacketType]{Error: err}
}
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func RunAICommand(ctx context.Context, request wshrpc.OpenAiStreamRequest) chan wshrpc.RespOrErrorUnion[wshrpc.OpenAIPacketType] {
telemetry.GoUpdateActivityWrap(wshrpc.ActivityUpdate{NumAIReqs: 1}, "RunAICommand")
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if request.Opts.APIType == ApiType_Anthropic {
endpoint := request.Opts.BaseURL
if endpoint == "" {
endpoint = "default"
}
log.Printf("sending ai chat message to anthropic endpoint %q using model %s\n", endpoint, request.Opts.Model)
anthropicBackend := AnthropicBackend{}
return anthropicBackend.StreamCompletion(ctx, request)
}
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if IsCloudAIRequest(request.Opts) {
log.Print("sending ai chat message to default waveterm cloud endpoint\n")
cloudBackend := WaveAICloudBackend{}
return cloudBackend.StreamCompletion(ctx, request)
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} else {
log.Printf("sending ai chat message to user-configured endpoint %s using model %s\n", request.Opts.BaseURL, request.Opts.Model)
openAIBackend := OpenAIBackend{}
return openAIBackend.StreamCompletion(ctx, request)
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}
}