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core/server/providers/anthropic.go
2026-03-05 22:40:26 +00:00

539 lines
15 KiB
Go

package providers
import (
"git.gobha.me/xcaliber/chat-switchboard/capabilities"
"git.gobha.me/xcaliber/chat-switchboard/models"
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
)
const anthropicDefaultEndpoint = "https://api.anthropic.com"
const anthropicAPIVersion = "2023-06-01"
// AnthropicProvider handles the Anthropic Messages API.
type AnthropicProvider struct{}
func (p *AnthropicProvider) ID() string { return "anthropic" }
// ── Chat Completion (non-streaming) ─────────
func (p *AnthropicProvider) ChatCompletion(ctx context.Context, cfg ProviderConfig, req CompletionRequest) (*CompletionResponse, error) {
req.Stream = false
body, err := p.doRequest(ctx, cfg, req)
if err != nil {
return nil, err
}
defer body.Close()
var resp anthropicResponse
if err := json.NewDecoder(body).Decode(&resp); err != nil {
return nil, fmt.Errorf("decode response: %w", err)
}
result := &CompletionResponse{
Model: resp.Model,
FinishReason: resp.StopReason,
InputTokens: resp.Usage.InputTokens,
OutputTokens: resp.Usage.OutputTokens,
CacheCreationTokens: resp.Usage.CacheCreationInputTokens,
CacheReadTokens: resp.Usage.CacheReadInputTokens,
}
// Extract text and tool_use blocks
for _, block := range resp.Content {
switch block.Type {
case "text":
result.Content += block.Text
case "tool_use":
argsJSON, _ := json.Marshal(block.Input)
result.ToolCalls = append(result.ToolCalls, ToolCall{
ID: block.ID,
Type: "function",
Function: FunctionCall{
Name: block.Name,
Arguments: string(argsJSON),
},
})
}
}
// Normalize stop reason
if resp.StopReason == "tool_use" {
result.FinishReason = "tool_calls"
}
return result, nil
}
// ── Stream Completion ───────────────────────
func (p *AnthropicProvider) StreamCompletion(ctx context.Context, cfg ProviderConfig, req CompletionRequest) (<-chan StreamEvent, error) {
req.Stream = true
body, err := p.doRequest(ctx, cfg, req)
if err != nil {
return nil, err
}
ch := make(chan StreamEvent, 64)
go func() {
defer close(ch)
defer body.Close()
var toolCalls []ToolCall
var currentToolIdx int = -1
// Usage accumulates across stream events
var inputTokens, outputTokens, cacheCreation, cacheRead int
scanner := bufio.NewScanner(body)
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data: ") {
continue
}
data := strings.TrimPrefix(line, "data: ")
var event anthropicStreamEvent
if err := json.Unmarshal([]byte(data), &event); err != nil {
continue
}
switch event.Type {
case "message_start":
// Capture input token counts (including cache)
if event.Message != nil {
inputTokens = event.Message.Usage.InputTokens
cacheCreation = event.Message.Usage.CacheCreationInputTokens
cacheRead = event.Message.Usage.CacheReadInputTokens
}
case "content_block_start":
if event.ContentBlock != nil && event.ContentBlock.Type == "tool_use" {
currentToolIdx++
toolCalls = append(toolCalls, ToolCall{
ID: event.ContentBlock.ID,
Type: "function",
Function: FunctionCall{
Name: event.ContentBlock.Name,
Arguments: "",
},
})
}
// thinking blocks (extended thinking, v0.22.1) — no action on start,
// deltas arrive as thinking_delta in content_block_delta
case "content_block_delta":
if event.Delta.Type == "text_delta" {
ch <- StreamEvent{Delta: event.Delta.Text}
} else if event.Delta.Type == "thinking_delta" && event.Delta.Thinking != "" {
// Extended thinking content → Reasoning field
ch <- StreamEvent{Reasoning: event.Delta.Thinking}
} else if event.Delta.Type == "input_json_delta" && currentToolIdx >= 0 {
toolCalls[currentToolIdx].Function.Arguments += event.Delta.PartialJSON
}
case "message_delta":
// Capture output tokens
if event.Usage != nil {
outputTokens = event.Usage.OutputTokens
}
stopReason := event.Delta.StopReason
ev := StreamEvent{
Done: true,
FinishReason: stopReason,
InputTokens: inputTokens,
OutputTokens: outputTokens,
CacheCreationTokens: cacheCreation,
CacheReadTokens: cacheRead,
}
if stopReason == "tool_use" {
ev.FinishReason = "tool_calls"
ev.ToolCalls = toolCalls
}
ch <- ev
case "message_stop":
ch <- StreamEvent{Done: true}
return
case "error":
ch <- StreamEvent{
Error: fmt.Errorf("anthropic stream error: %s", data),
}
return
}
}
if err := scanner.Err(); err != nil {
ch <- StreamEvent{Error: err}
}
}()
return ch, nil
}
// ── List Models ─────────────────────────────
func (p *AnthropicProvider) ListModels(_ context.Context, _ ProviderConfig) ([]Model, error) {
modelIDs := []struct{ id, name string }{
{"claude-opus-4-20250514", "Claude Opus 4"},
{"claude-sonnet-4-20250514", "Claude Sonnet 4"},
{"claude-haiku-4-20250414", "Claude Haiku 4"},
{"claude-3-5-sonnet-20241022", "Claude 3.5 Sonnet"},
{"claude-3-5-haiku-20241022", "Claude 3.5 Haiku"},
}
out := make([]Model, 0, len(modelIDs))
for _, m := range modelIDs {
caps := capabilities.InferCapabilities(m.id)
out = append(out, Model{
ID: m.id,
Name: m.name,
OwnedBy: "anthropic",
Capabilities: caps,
})
}
return out, nil
}
// ── Embeddings ─────────────────────────────
// Embed is not supported by the Anthropic API.
func (p *AnthropicProvider) Embed(_ context.Context, _ ProviderConfig, _ EmbeddingRequest) (*EmbeddingResponse, error) {
return nil, ErrNotSupported
}
// ── HTTP Layer ──────────────────────────────
func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, req CompletionRequest) (io.ReadCloser, error) {
endpoint := cfg.Endpoint
if endpoint == "" {
endpoint = anthropicDefaultEndpoint
}
endpoint = strings.TrimSuffix(endpoint, "/") + "/v1/messages"
// Separate system message and convert to Anthropic format
var system string
messages := make([]anthropicMessage, 0, len(req.Messages))
for _, m := range req.Messages {
if m.Role == "system" {
system = m.Content
continue
}
antMsg := anthropicMessage{Role: m.Role}
// ── Foreign persona rewrite (v0.23.0) ──
// Anthropic doesn't support the "name" field on messages.
// Rewrite named assistant messages (from other personas) to user
// role with attribution so Anthropic maintains alternation and
// the model understands it's a multi-participant conversation.
if m.Role == "assistant" && m.Name != "" {
antMsg.Role = "user"
antMsg.Content = []anthropicContentBlock{
{Type: "text", Text: fmt.Sprintf("[%s responded:]\n%s", m.Name, m.Content)},
}
messages = append(messages, antMsg)
continue
}
if m.Role == "assistant" && len(m.ToolCalls) > 0 {
// Assistant with tool calls → mixed content blocks
if m.Content != "" {
antMsg.Content = []anthropicContentBlock{
{Type: "text", Text: m.Content},
}
} else {
antMsg.Content = []anthropicContentBlock{}
}
for _, tc := range m.ToolCalls {
var input json.RawMessage
if tc.Function.Arguments != "" {
input = json.RawMessage(tc.Function.Arguments)
} else {
input = json.RawMessage("{}")
}
antMsg.Content = append(antMsg.Content, anthropicContentBlock{
Type: "tool_use",
ID: tc.ID,
Name: tc.Function.Name,
Input: input,
})
}
} else if m.Role == "tool" {
// Tool results → user message with tool_result block
antMsg.Role = "user"
antMsg.Content = []anthropicContentBlock{
{
Type: "tool_result",
ToolUseID: m.ToolCallID,
Content: m.Content,
},
}
} else if len(m.ContentParts) > 0 && m.Role == "user" {
// Multimodal user message: convert ContentParts to Anthropic blocks
for _, p := range m.ContentParts {
switch p.Type {
case "image_url":
if p.ImageURL != nil {
// Parse data URI: "data:image/jpeg;base64,{data}"
mediaType, b64Data := parseDataURI(p.ImageURL.URL)
if b64Data != "" {
antMsg.Content = append(antMsg.Content, anthropicContentBlock{
Type: "image",
Source: &anthropicImageSource{
Type: "base64",
MediaType: mediaType,
Data: b64Data,
},
})
}
}
default: // "text", "document"
if p.Text != "" {
antMsg.Content = append(antMsg.Content, anthropicContentBlock{
Type: "text",
Text: p.Text,
})
}
}
}
if len(antMsg.Content) == 0 {
// Fallback: shouldn't happen, but safety net
antMsg.Content = []anthropicContentBlock{
{Type: "text", Text: m.Content},
}
}
} else {
// Regular text message
antMsg.Content = []anthropicContentBlock{
{Type: "text", Text: m.Content},
}
}
messages = append(messages, antMsg)
}
// Merge consecutive user messages (Anthropic requires alternating roles)
messages = mergeConsecutiveUserMessages(messages)
antReq := anthropicRequest{
Model: req.Model,
Messages: messages,
MaxTokens: req.MaxTokens,
Stream: req.Stream,
}
if system != "" {
antReq.System = system
}
if antReq.MaxTokens == 0 {
antReq.MaxTokens = capabilities.ResolveMaxOutput(req.Model, models.ModelCapabilities{})
}
if req.Temperature != nil {
antReq.Temperature = req.Temperature
}
if req.TopP != nil {
antReq.TopP = req.TopP
}
// Add tools in Anthropic format
for _, t := range req.Tools {
antReq.Tools = append(antReq.Tools, anthropicToolDef{
Name: t.Function.Name,
Description: t.Function.Description,
InputSchema: t.Function.Parameters,
})
}
body, err := json.Marshal(antReq)
if err != nil {
return nil, fmt.Errorf("marshal request: %w", err)
}
// Merge hook-supplied extra fields into wire JSON (v0.22.1)
// This is how extended thinking config gets injected.
if len(req.ExtraBody) > 0 {
body, err = mergeExtraBody(body, req.ExtraBody)
if err != nil {
return nil, fmt.Errorf("merge extra body: %w", err)
}
}
httpReq, err := http.NewRequestWithContext(ctx, "POST", endpoint, bytes.NewReader(body))
if err != nil {
return nil, err
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("x-api-key", cfg.APIKey)
httpReq.Header.Set("anthropic-version", anthropicAPIVersion)
// Extended thinking requires the output-128k beta header
if len(req.ExtraBody) > 0 {
if _, hasThinking := req.ExtraBody["thinking"]; hasThinking {
httpReq.Header.Set("anthropic-beta", "output-128k-2025-02-19")
}
}
resp, err := cfg.Client().Do(httpReq)
if err != nil {
return nil, fmt.Errorf("provider request: %w", err)
}
if resp.StatusCode != http.StatusOK {
b, _ := io.ReadAll(resp.Body)
resp.Body.Close()
return nil, fmt.Errorf("provider error: HTTP %d: %s", resp.StatusCode, string(b))
}
return resp.Body, nil
}
// mergeConsecutiveUserMessages combines consecutive user-role messages.
// Anthropic requires strictly alternating user/assistant roles.
func mergeConsecutiveUserMessages(msgs []anthropicMessage) []anthropicMessage {
if len(msgs) <= 1 {
return msgs
}
merged := make([]anthropicMessage, 0, len(msgs))
for _, m := range msgs {
if len(merged) > 0 && merged[len(merged)-1].Role == "user" && m.Role == "user" {
merged[len(merged)-1].Content = append(merged[len(merged)-1].Content, m.Content...)
} else {
merged = append(merged, m)
}
}
return merged
}
// ── Anthropic Wire Types ────────────────────
type anthropicContentBlock struct {
Type string `json:"type"`
// text
Text string `json:"text,omitempty"`
// image (type="image")
Source *anthropicImageSource `json:"source,omitempty"`
// tool_use
ID string `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Input json.RawMessage `json:"input,omitempty"`
// tool_result
ToolUseID string `json:"tool_use_id,omitempty"`
Content string `json:"content,omitempty"`
}
// anthropicImageSource is the Anthropic-native image format.
// Anthropic uses {"type":"base64","media_type":"image/jpeg","data":"..."}
// rather than OpenAI's data URI approach.
type anthropicImageSource struct {
Type string `json:"type"` // "base64"
MediaType string `json:"media_type"` // "image/jpeg", "image/png", etc.
Data string `json:"data"` // raw base64 (no data: prefix)
}
type anthropicMessage struct {
Role string `json:"role"`
Content []anthropicContentBlock `json:"content"`
}
type anthropicToolDef struct {
Name string `json:"name"`
Description string `json:"description"`
InputSchema json.RawMessage `json:"input_schema"`
}
type anthropicRequest struct {
Model string `json:"model"`
Messages []anthropicMessage `json:"messages"`
System string `json:"system,omitempty"`
MaxTokens int `json:"max_tokens"`
Temperature *float64 `json:"temperature,omitempty"`
TopP *float64 `json:"top_p,omitempty"`
Stream bool `json:"stream"`
Tools []anthropicToolDef `json:"tools,omitempty"`
}
type anthropicResponse struct {
Model string `json:"model"`
StopReason string `json:"stop_reason"`
Content []struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ID string `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Input json.RawMessage `json:"input,omitempty"`
} `json:"content"`
Usage anthropicUsage `json:"usage"`
}
type anthropicUsage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
CacheCreationInputTokens int `json:"cache_creation_input_tokens"`
CacheReadInputTokens int `json:"cache_read_input_tokens"`
}
type anthropicStreamEvent struct {
Type string `json:"type"`
Message *struct {
Usage anthropicUsage `json:"usage"`
} `json:"message,omitempty"`
Delta struct {
Type string `json:"type"`
Text string `json:"text"`
Thinking string `json:"thinking"` // extended thinking delta (v0.22.1)
StopReason string `json:"stop_reason"`
PartialJSON string `json:"partial_json"`
} `json:"delta"`
Usage *struct {
OutputTokens int `json:"output_tokens"`
} `json:"usage,omitempty"`
ContentBlock *struct {
Type string `json:"type"`
ID string `json:"id"`
Name string `json:"name"`
} `json:"content_block,omitempty"`
}
// parseDataURI splits a data URI into media type and base64 data.
// Input: "data:image/jpeg;base64,/9j/4AAQ..."
// Output: "image/jpeg", "/9j/4AAQ..."
// Returns empty strings if the URI is malformed.
func parseDataURI(uri string) (mediaType, data string) {
// Strip "data:" prefix
if !strings.HasPrefix(uri, "data:") {
return "", ""
}
rest := uri[5:]
// Split on comma (separates header from data)
commaIdx := strings.Index(rest, ",")
if commaIdx < 0 {
return "", ""
}
header := rest[:commaIdx]
data = rest[commaIdx+1:]
// Extract media type from header (before ";base64")
if semiIdx := strings.Index(header, ";"); semiIdx >= 0 {
mediaType = header[:semiIdx]
} else {
mediaType = header
}
return mediaType, data
}