Changeset 0.7.2 (#40)
This commit is contained in:
@@ -35,21 +35,37 @@ func (p *AnthropicProvider) ChatCompletion(ctx context.Context, cfg ProviderConf
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return nil, fmt.Errorf("decode response: %w", err)
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}
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// Extract text from content blocks
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var content string
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for _, block := range resp.Content {
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if block.Type == "text" {
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content += block.Text
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}
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}
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return &CompletionResponse{
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Content: content,
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result := &CompletionResponse{
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Model: resp.Model,
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FinishReason: resp.StopReason,
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InputTokens: resp.Usage.InputTokens,
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OutputTokens: resp.Usage.OutputTokens,
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}, nil
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}
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// Extract text and tool_use blocks
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for _, block := range resp.Content {
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switch block.Type {
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case "text":
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result.Content += block.Text
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case "tool_use":
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argsJSON, _ := json.Marshal(block.Input)
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result.ToolCalls = append(result.ToolCalls, ToolCall{
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ID: block.ID,
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Type: "function",
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Function: FunctionCall{
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Name: block.Name,
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Arguments: string(argsJSON),
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},
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})
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}
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}
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// Normalize stop reason
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if resp.StopReason == "tool_use" {
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result.FinishReason = "tool_calls"
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}
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return result, nil
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}
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// ── Stream Completion ───────────────────────
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@@ -68,6 +84,9 @@ func (p *AnthropicProvider) StreamCompletion(ctx context.Context, cfg ProviderCo
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defer close(ch)
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defer body.Close()
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var toolCalls []ToolCall
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var currentToolIdx int = -1
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scanner := bufio.NewScanner(body)
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for scanner.Scan() {
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line := scanner.Text()
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@@ -84,18 +103,42 @@ func (p *AnthropicProvider) StreamCompletion(ctx context.Context, cfg ProviderCo
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}
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switch event.Type {
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case "content_block_start":
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if event.ContentBlock != nil && event.ContentBlock.Type == "tool_use" {
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currentToolIdx++
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toolCalls = append(toolCalls, ToolCall{
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ID: event.ContentBlock.ID,
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Type: "function",
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Function: FunctionCall{
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Name: event.ContentBlock.Name,
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Arguments: "",
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},
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})
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}
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case "content_block_delta":
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if event.Delta.Type == "text_delta" {
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ch <- StreamEvent{Delta: event.Delta.Text}
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} else if event.Delta.Type == "input_json_delta" && currentToolIdx >= 0 {
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toolCalls[currentToolIdx].Function.Arguments += event.Delta.PartialJSON
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}
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case "message_delta":
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ch <- StreamEvent{
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stopReason := event.Delta.StopReason
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ev := StreamEvent{
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Done: true,
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FinishReason: event.Delta.StopReason,
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FinishReason: stopReason,
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}
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if stopReason == "tool_use" {
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ev.FinishReason = "tool_calls"
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ev.ToolCalls = toolCalls
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}
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ch <- ev
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case "message_stop":
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ch <- StreamEvent{Done: true}
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return
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case "error":
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ch <- StreamEvent{
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Error: fmt.Errorf("anthropic stream error: %s", data),
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@@ -115,8 +158,6 @@ func (p *AnthropicProvider) StreamCompletion(ctx context.Context, cfg ProviderCo
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// ── List Models ─────────────────────────────
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func (p *AnthropicProvider) ListModels(_ context.Context, _ ProviderConfig) ([]Model, error) {
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// Anthropic doesn't have a list models endpoint.
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// Return known models with authoritative capabilities from our table.
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modelIDs := []struct{ id, name string }{
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{"claude-opus-4-20250514", "Claude Opus 4"},
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{"claude-sonnet-4-20250514", "Claude Sonnet 4"},
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@@ -147,7 +188,7 @@ func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, r
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}
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endpoint = strings.TrimSuffix(endpoint, "/") + "/v1/messages"
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// Separate system message from conversation
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// Separate system message and convert to Anthropic format
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var system string
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messages := make([]anthropicMessage, 0, len(req.Messages))
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for _, m := range req.Messages {
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@@ -155,13 +196,55 @@ func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, r
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system = m.Content
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continue
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}
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messages = append(messages, anthropicMessage{
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Role: m.Role,
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Content: m.Content,
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})
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antMsg := anthropicMessage{Role: m.Role}
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if m.Role == "assistant" && len(m.ToolCalls) > 0 {
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// Assistant with tool calls → mixed content blocks
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if m.Content != "" {
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antMsg.Content = []anthropicContentBlock{
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{Type: "text", Text: m.Content},
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}
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} else {
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antMsg.Content = []anthropicContentBlock{}
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}
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for _, tc := range m.ToolCalls {
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var input json.RawMessage
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if tc.Function.Arguments != "" {
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input = json.RawMessage(tc.Function.Arguments)
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} else {
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input = json.RawMessage("{}")
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}
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antMsg.Content = append(antMsg.Content, anthropicContentBlock{
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Type: "tool_use",
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ID: tc.ID,
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Name: tc.Function.Name,
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Input: input,
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})
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}
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} else if m.Role == "tool" {
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// Tool results → user message with tool_result block
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antMsg.Role = "user"
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antMsg.Content = []anthropicContentBlock{
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{
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Type: "tool_result",
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ToolUseID: m.ToolCallID,
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Content: m.Content,
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},
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}
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} else {
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// Regular text message
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antMsg.Content = []anthropicContentBlock{
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{Type: "text", Text: m.Content},
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}
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}
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messages = append(messages, antMsg)
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}
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// Build Anthropic-format request
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// Merge consecutive user messages (Anthropic requires alternating roles)
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messages = mergeConsecutiveUserMessages(messages)
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antReq := anthropicRequest{
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Model: req.Model,
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Messages: messages,
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@@ -172,7 +255,6 @@ func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, r
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antReq.System = system
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}
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if antReq.MaxTokens == 0 {
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// Anthropic requires max_tokens. Resolve from known model table.
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antReq.MaxTokens = ResolveMaxOutput(req.Model, ModelCapabilities{})
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}
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if req.Temperature != nil {
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@@ -182,6 +264,15 @@ func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, r
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antReq.TopP = req.TopP
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}
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// Add tools in Anthropic format
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for _, t := range req.Tools {
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antReq.Tools = append(antReq.Tools, anthropicToolDef{
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Name: t.Function.Name,
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Description: t.Function.Description,
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InputSchema: t.Function.Parameters,
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})
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}
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body, err := json.Marshal(antReq)
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if err != nil {
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return nil, fmt.Errorf("marshal request: %w", err)
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@@ -209,11 +300,47 @@ func (p *AnthropicProvider) doRequest(ctx context.Context, cfg ProviderConfig, r
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return resp.Body, nil
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}
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// mergeConsecutiveUserMessages combines consecutive user-role messages.
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// Anthropic requires strictly alternating user/assistant roles.
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func mergeConsecutiveUserMessages(msgs []anthropicMessage) []anthropicMessage {
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if len(msgs) <= 1 {
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return msgs
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}
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merged := make([]anthropicMessage, 0, len(msgs))
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for _, m := range msgs {
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if len(merged) > 0 && merged[len(merged)-1].Role == "user" && m.Role == "user" {
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merged[len(merged)-1].Content = append(merged[len(merged)-1].Content, m.Content...)
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} else {
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merged = append(merged, m)
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}
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}
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return merged
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}
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// ── Anthropic Wire Types ────────────────────
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type anthropicContentBlock struct {
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Type string `json:"type"`
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// text
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Text string `json:"text,omitempty"`
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// tool_use
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ID string `json:"id,omitempty"`
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Name string `json:"name,omitempty"`
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Input json.RawMessage `json:"input,omitempty"`
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// tool_result
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ToolUseID string `json:"tool_use_id,omitempty"`
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Content string `json:"content,omitempty"`
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}
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type anthropicMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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Role string `json:"role"`
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Content []anthropicContentBlock `json:"content"`
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}
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type anthropicToolDef struct {
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Name string `json:"name"`
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Description string `json:"description"`
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InputSchema json.RawMessage `json:"input_schema"`
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}
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type anthropicRequest struct {
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@@ -224,14 +351,18 @@ type anthropicRequest struct {
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Temperature *float64 `json:"temperature,omitempty"`
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TopP *float64 `json:"top_p,omitempty"`
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Stream bool `json:"stream"`
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Tools []anthropicToolDef `json:"tools,omitempty"`
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}
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type anthropicResponse struct {
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Model string `json:"model"`
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StopReason string `json:"stop_reason"`
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Content []struct {
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Type string `json:"type"`
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Text string `json:"text"`
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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ID string `json:"id,omitempty"`
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Name string `json:"name,omitempty"`
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Input json.RawMessage `json:"input,omitempty"`
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} `json:"content"`
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Usage struct {
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InputTokens int `json:"input_tokens"`
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@@ -242,8 +373,14 @@ type anthropicResponse struct {
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type anthropicStreamEvent struct {
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Type string `json:"type"`
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Delta struct {
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Type string `json:"type"`
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Text string `json:"text"`
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StopReason string `json:"stop_reason"`
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Type string `json:"type"`
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Text string `json:"text"`
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StopReason string `json:"stop_reason"`
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PartialJSON string `json:"partial_json"`
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} `json:"delta"`
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ContentBlock *struct {
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Type string `json:"type"`
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ID string `json:"id"`
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Name string `json:"name"`
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} `json:"content_block,omitempty"`
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}
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@@ -36,13 +36,32 @@ func (p *OpenAIProvider) ChatCompletion(ctx context.Context, cfg ProviderConfig,
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return nil, fmt.Errorf("no choices in response")
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}
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return &CompletionResponse{
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result := &CompletionResponse{
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Content: resp.Choices[0].Message.Content,
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Model: resp.Model,
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FinishReason: resp.Choices[0].FinishReason,
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InputTokens: resp.Usage.PromptTokens,
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OutputTokens: resp.Usage.CompletionTokens,
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}, nil
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}
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// Extract tool calls if present
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if len(resp.Choices[0].Message.ToolCalls) > 0 {
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for _, tc := range resp.Choices[0].Message.ToolCalls {
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result.ToolCalls = append(result.ToolCalls, ToolCall{
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ID: tc.ID,
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Type: tc.Type,
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Function: FunctionCall{
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Name: tc.Function.Name,
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Arguments: tc.Function.Arguments,
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},
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})
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}
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if result.FinishReason == "" {
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result.FinishReason = "tool_calls"
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}
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}
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return result, nil
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}
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// ── Stream Completion ───────────────────────
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@@ -61,6 +80,9 @@ func (p *OpenAIProvider) StreamCompletion(ctx context.Context, cfg ProviderConfi
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defer close(ch)
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defer body.Close()
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// Accumulate tool calls across stream chunks
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toolCallMap := map[int]*ToolCall{} // index → accumulated call
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scanner := bufio.NewScanner(body)
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for scanner.Scan() {
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line := scanner.Text()
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@@ -84,13 +106,45 @@ func (p *OpenAIProvider) StreamCompletion(ctx context.Context, cfg ProviderConfi
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continue
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}
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ev := StreamEvent{
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Delta: chunk.Choices[0].Delta.Content,
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Model: chunk.Model,
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FinishReason: chunk.Choices[0].FinishReason,
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choice := chunk.Choices[0]
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// Accumulate tool call deltas
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for _, tc := range choice.Delta.ToolCalls {
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idx := 0
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if tc.Index != nil {
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idx = *tc.Index
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}
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if existing, ok := toolCallMap[idx]; ok {
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// Append arguments fragment
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existing.Function.Arguments += tc.Function.Arguments
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} else {
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// First chunk for this tool — has ID and name
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toolCallMap[idx] = &ToolCall{
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ID: tc.ID,
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Type: "function",
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Function: FunctionCall{
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Name: tc.Function.Name,
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Arguments: tc.Function.Arguments,
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},
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}
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}
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}
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ev := StreamEvent{
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Delta: choice.Delta.Content,
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Model: chunk.Model,
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FinishReason: choice.FinishReason,
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}
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if ev.FinishReason != "" {
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ev.Done = true
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// Attach accumulated tool calls on final event
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if ev.FinishReason == "tool_calls" && len(toolCallMap) > 0 {
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for _, tc := range toolCallMap {
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ev.ToolCalls = append(ev.ToolCalls, *tc)
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}
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}
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}
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ch <- ev
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@@ -178,11 +232,46 @@ func (p *OpenAIProvider) doRequest(ctx context.Context, cfg ProviderConfig, req
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oaiReq.TopP = req.TopP
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}
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// Convert tools
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for _, t := range req.Tools {
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oaiReq.Tools = append(oaiReq.Tools, openaiToolDef{
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Type: t.Type,
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Function: openaiToolDefFunction{
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Name: t.Function.Name,
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Description: t.Function.Description,
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Parameters: t.Function.Parameters,
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},
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})
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}
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// Convert messages — handle all roles including tool
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for _, m := range req.Messages {
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oaiReq.Messages = append(oaiReq.Messages, openaiMessage{
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oaiMsg := openaiMessage{
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Role: m.Role,
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Content: m.Content,
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})
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}
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// Assistant messages with tool calls
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if len(m.ToolCalls) > 0 {
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for _, tc := range m.ToolCalls {
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oaiMsg.ToolCalls = append(oaiMsg.ToolCalls, openaiToolCall{
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ID: tc.ID,
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Type: tc.Type,
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Function: openaiToolCallFunction{
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Name: tc.Function.Name,
|
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Arguments: tc.Function.Arguments,
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},
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})
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||||
}
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}
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// Tool result messages
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if m.Role == "tool" {
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oaiMsg.ToolCallID = m.ToolCallID
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oaiMsg.Name = m.Name
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}
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oaiReq.Messages = append(oaiReq.Messages, oaiMsg)
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}
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body, err := json.Marshal(oaiReq)
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@@ -220,8 +309,34 @@ func (p *OpenAIProvider) doRequest(ctx context.Context, cfg ProviderConfig, req
|
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// ── OpenAI Wire Types ───────────────────────
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type openaiMessage struct {
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Role string `json:"role"`
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||||
Content string `json:"content"`
|
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Role string `json:"role"`
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||||
Content string `json:"content,omitempty"`
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||||
ToolCalls []openaiToolCall `json:"tool_calls,omitempty"` // assistant requesting tools
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ToolCallID string `json:"tool_call_id,omitempty"` // role=tool result
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||||
Name string `json:"name,omitempty"` // tool name for role=tool
|
||||
}
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||||
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type openaiToolCallFunction struct {
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Name string `json:"name,omitempty"`
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Arguments string `json:"arguments,omitempty"`
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}
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||||
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||||
type openaiToolCall struct {
|
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Index *int `json:"index,omitempty"` // present in streaming deltas
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ID string `json:"id,omitempty"`
|
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Type string `json:"type,omitempty"` // "function"
|
||||
Function openaiToolCallFunction `json:"function"`
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}
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||||
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type openaiToolDefFunction struct {
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Name string `json:"name"`
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Description string `json:"description"`
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||||
Parameters json.RawMessage `json:"parameters"`
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||||
}
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||||
|
||||
type openaiToolDef struct {
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Type string `json:"type"` // "function"
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||||
Function openaiToolDefFunction `json:"function"`
|
||||
}
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||||
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||||
type openaiChatRequest struct {
|
||||
@@ -231,6 +346,7 @@ type openaiChatRequest struct {
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"top_p,omitempty"`
|
||||
Stream bool `json:"stream"`
|
||||
Tools []openaiToolDef `json:"tools,omitempty"`
|
||||
}
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||||
|
||||
type openaiChatResponse struct {
|
||||
@@ -249,7 +365,8 @@ type openaiStreamChunk struct {
|
||||
Model string `json:"model"`
|
||||
Choices []struct {
|
||||
Delta struct {
|
||||
Content string `json:"content"`
|
||||
Content string `json:"content"`
|
||||
ToolCalls []openaiToolCall `json:"tool_calls,omitempty"`
|
||||
} `json:"delta"`
|
||||
FinishReason string `json:"finish_reason"`
|
||||
} `json:"choices"`
|
||||
|
||||
@@ -2,6 +2,7 @@ package providers
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
)
|
||||
|
||||
// ── Provider Interface ──────────────────────
|
||||
@@ -37,8 +38,39 @@ type ProviderConfig struct {
|
||||
|
||||
// Message represents a chat message in the conversation.
|
||||
type Message struct {
|
||||
Role string `json:"role"` // user, assistant, system
|
||||
Role string `json:"role"` // user, assistant, system, tool
|
||||
Content string `json:"content"`
|
||||
|
||||
// Tool calling fields (assistant → tool_calls, tool → tool_call_id)
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"` // set when assistant requests tools
|
||||
ToolCallID string `json:"tool_call_id,omitempty"` // set for role="tool" result messages
|
||||
Name string `json:"name,omitempty"` // tool name for role="tool"
|
||||
}
|
||||
|
||||
// ToolCall represents a function call requested by the LLM.
|
||||
type ToolCall struct {
|
||||
ID string `json:"id"`
|
||||
Type string `json:"type"` // "function"
|
||||
Function FunctionCall `json:"function"`
|
||||
}
|
||||
|
||||
// FunctionCall is the function name and JSON arguments.
|
||||
type FunctionCall struct {
|
||||
Name string `json:"name"`
|
||||
Arguments string `json:"arguments"`
|
||||
}
|
||||
|
||||
// ToolDef describes a tool available to the LLM.
|
||||
type ToolDef struct {
|
||||
Type string `json:"type"` // "function"
|
||||
Function FunctionDef `json:"function"`
|
||||
}
|
||||
|
||||
// FunctionDef is the schema for a tool function.
|
||||
type FunctionDef struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description"`
|
||||
Parameters json.RawMessage `json:"parameters"`
|
||||
}
|
||||
|
||||
// CompletionRequest is the normalized request sent to any provider.
|
||||
@@ -49,15 +81,17 @@ type CompletionRequest struct {
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"top_p,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
Tools []ToolDef `json:"tools,omitempty"` // available tools for function calling
|
||||
}
|
||||
|
||||
// CompletionResponse is the normalized non-streaming response.
|
||||
type CompletionResponse struct {
|
||||
Content string `json:"content"`
|
||||
Model string `json:"model"`
|
||||
FinishReason string `json:"finish_reason"`
|
||||
InputTokens int `json:"input_tokens"`
|
||||
OutputTokens int `json:"output_tokens"`
|
||||
Content string `json:"content"`
|
||||
Model string `json:"model"`
|
||||
FinishReason string `json:"finish_reason"`
|
||||
InputTokens int `json:"input_tokens"`
|
||||
OutputTokens int `json:"output_tokens"`
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"` // set when finish_reason is "tool_calls"
|
||||
}
|
||||
|
||||
// StreamEvent is a single chunk from a streaming response.
|
||||
@@ -69,8 +103,13 @@ type StreamEvent struct {
|
||||
Done bool `json:"done,omitempty"`
|
||||
|
||||
// FinishReason is set on the final event.
|
||||
// "stop" = normal, "tool_calls" = LLM wants to call tools.
|
||||
FinishReason string `json:"finish_reason,omitempty"`
|
||||
|
||||
// ToolCalls accumulates tool call data during streaming.
|
||||
// Fully populated on the final event when FinishReason is "tool_calls".
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
|
||||
// Model echoes back the model used.
|
||||
Model string `json:"model,omitempty"`
|
||||
|
||||
|
||||
Reference in New Issue
Block a user