picoclaw/pkg/providers/anthropic/provider.go

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package anthropicprovider
import (
"context"
"encoding/json"
"fmt"
"log"
"strings"
"github.com/anthropics/anthropic-sdk-go"
"github.com/anthropics/anthropic-sdk-go/option"
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"github.com/sipeed/picoclaw/pkg/providers/common"
"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
)
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type (
ToolCall = protocoltypes.ToolCall
FunctionCall = protocoltypes.FunctionCall
LLMResponse = protocoltypes.LLMResponse
UsageInfo = protocoltypes.UsageInfo
Message = protocoltypes.Message
ToolDefinition = protocoltypes.ToolDefinition
ToolFunctionDefinition = protocoltypes.ToolFunctionDefinition
)
const (
defaultBaseURL = "https://api.anthropic.com"
anthropicBetaHeader = "oauth-2025-04-20"
)
type Provider struct {
client *anthropic.Client
tokenSource func() (string, error)
baseURL string
}
// SupportsThinking implements providers.ThinkingCapable.
func (p *Provider) SupportsThinking() bool { return true }
func NewProvider(token string) *Provider {
return NewProviderWithBaseURL(token, "")
}
func NewProviderWithBaseURL(token, apiBase string) *Provider {
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baseURL := common.NormalizeBaseURL(apiBase, defaultBaseURL, false)
client := anthropic.NewClient(
option.WithAuthToken(token),
option.WithBaseURL(baseURL),
)
return &Provider{
client: &client,
baseURL: baseURL,
}
}
func NewProviderWithClient(client *anthropic.Client) *Provider {
return &Provider{
client: client,
baseURL: defaultBaseURL,
}
}
func NewProviderWithTokenSource(token string, tokenSource func() (string, error)) *Provider {
return NewProviderWithTokenSourceAndBaseURL(token, tokenSource, "")
}
func NewProviderWithTokenSourceAndBaseURL(token string, tokenSource func() (string, error), apiBase string) *Provider {
p := NewProviderWithBaseURL(token, apiBase)
p.tokenSource = tokenSource
return p
}
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func (p *Provider) Chat(
ctx context.Context,
messages []Message,
tools []ToolDefinition,
model string,
options map[string]any,
) (*LLMResponse, error) {
var opts []option.RequestOption
if p.tokenSource != nil {
tok, err := p.tokenSource()
if err != nil {
return nil, fmt.Errorf("refreshing token: %w", err)
}
opts = append(opts,
option.WithAuthToken(tok),
option.WithHeader("anthropic-beta", anthropicBetaHeader),
)
}
params, err := buildParams(messages, tools, model, options)
if err != nil {
return nil, err
}
// OAuth/setup-tokens require streaming; API keys use non-streaming.
if p.tokenSource != nil {
return p.chatStreaming(ctx, params, opts)
}
resp, err := p.client.Messages.New(ctx, params, opts...)
if err != nil {
return nil, fmt.Errorf("claude API call: %w", err)
}
return parseResponse(resp), nil
}
func (p *Provider) chatStreaming(
ctx context.Context,
params anthropic.MessageNewParams,
opts []option.RequestOption,
) (*LLMResponse, error) {
stream := p.client.Messages.NewStreaming(ctx, params, opts...)
defer stream.Close()
var msg anthropic.Message
for stream.Next() {
event := stream.Current()
if err := msg.Accumulate(event); err != nil {
return nil, fmt.Errorf("claude streaming accumulate: %w", err)
}
}
if err := stream.Err(); err != nil {
return nil, fmt.Errorf("claude API call: %w", err)
}
return parseResponse(&msg), nil
}
func (p *Provider) GetDefaultModel() string {
return "claude-sonnet-4.6"
}
func (p *Provider) BaseURL() string {
return p.baseURL
}
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func buildParams(
messages []Message,
tools []ToolDefinition,
model string,
options map[string]any,
) (anthropic.MessageNewParams, error) {
var system []anthropic.TextBlockParam
var anthropicMessages []anthropic.MessageParam
for _, msg := range messages {
switch msg.Role {
case "system":
fix: cache system prompt with mtime-based auto-invalidation (#607) Avoid rebuilding the entire system prompt on every BuildMessages() call by caching the static portion (identity, bootstrap, skills summary, memory) and only recomputing it when workspace source files change. Key changes: - ContextBuilder caches the static prompt behind an RWMutex with double-checked locking. Source file changes are detected via cheap os.Stat mtime checks so no explicit invalidation is needed. - Track file existence at cache time (existedAtCache map) so that newly created or deleted bootstrap/memory files also trigger a rebuild — the old modifiedSince() silently returned false on os.IsNotExist. - Walk the skills directory recursively with filepath.WalkDir to catch content-only edits at any nesting depth; directory mtime alone misses in-place file modifications on most filesystems. - ToolRegistry.sortedToolNames() sorts tool names before iteration, ensuring deterministic tool definition order across calls — a prerequisite for LLM-side prefix/KV cache reuse. - Merge all context (static + dynamic + summary) into a single system message for provider compatibility: the Anthropic adapter extracts messages[0] as the top-level system parameter, and Codex reads only the first system message as instructions. - Fix a data race in BuildMessages() where cachedSystemPrompt was read without holding the lock in a debug log statement. - Add tests: single system message invariant, mtime auto-invalidation, new-file creation detection, skill file content change, explicit InvalidateCache, cache stability, concurrent access (20 goroutines x 50 iterations, passes go test -race), and a benchmark.
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// Prefer structured SystemParts for per-block cache_control.
// This enables LLM-side KV cache reuse: the static block's prefix
// hash stays stable across requests while dynamic parts change freely.
if len(msg.SystemParts) > 0 {
for _, part := range msg.SystemParts {
block := anthropic.TextBlockParam{Text: part.Text}
if part.CacheControl != nil && part.CacheControl.Type == "ephemeral" {
block.CacheControl = anthropic.NewCacheControlEphemeralParam()
}
system = append(system, block)
}
} else {
system = append(system, anthropic.TextBlockParam{Text: msg.Content})
}
case "user":
if msg.ToolCallID != "" {
anthropicMessages = append(anthropicMessages,
anthropic.NewUserMessage(anthropic.NewToolResultBlock(msg.ToolCallID, msg.Content, false)),
)
} else {
anthropicMessages = append(anthropicMessages,
anthropic.NewUserMessage(anthropic.NewTextBlock(msg.Content)),
)
}
case "assistant":
if len(msg.ToolCalls) > 0 {
var blocks []anthropic.ContentBlockParamUnion
if msg.Content != "" {
blocks = append(blocks, anthropic.NewTextBlock(msg.Content))
}
for _, tc := range msg.ToolCalls {
// Resolve tool name: prefer tc.Name, fallback to tc.Function.Name
// (tc.Name/tc.Arguments are json:"-" and may be empty when
// history is reloaded from the session store)
toolName := tc.Name
if toolName == "" && tc.Function != nil {
toolName = tc.Function.Name
}
// Skip tool calls with empty names to avoid API errors
if toolName == "" {
continue
}
args := tc.Arguments
if args == nil && tc.Function != nil && tc.Function.Arguments != "" {
if err := json.Unmarshal([]byte(tc.Function.Arguments), &args); err != nil {
args = map[string]any{}
}
}
if args == nil {
args = map[string]any{}
}
blocks = append(blocks, anthropic.NewToolUseBlock(tc.ID, args, toolName))
}
anthropicMessages = append(anthropicMessages, anthropic.NewAssistantMessage(blocks...))
} else {
anthropicMessages = append(anthropicMessages,
anthropic.NewAssistantMessage(anthropic.NewTextBlock(msg.Content)),
)
}
case "tool":
anthropicMessages = append(anthropicMessages,
anthropic.NewUserMessage(anthropic.NewToolResultBlock(msg.ToolCallID, msg.Content, false)),
)
}
}
maxTokens := int64(4096)
if mt, ok := options["max_tokens"].(int); ok {
maxTokens = int64(mt)
}
// Normalize model ID: Anthropic API uses hyphens (claude-sonnet-4-6),
// but config may use dots (claude-sonnet-4.6).
apiModel := strings.ReplaceAll(model, ".", "-")
params := anthropic.MessageNewParams{
Model: apiModel,
Messages: anthropicMessages,
MaxTokens: maxTokens,
}
if len(system) > 0 {
params.System = system
}
if temp, ok := options["temperature"].(float64); ok {
params.Temperature = anthropic.Float(temp)
}
if len(tools) > 0 {
params.Tools = translateTools(tools)
}
// Extended Thinking / Adaptive Thinking
// The thinking_level value directly determines the API parameter format:
// "adaptive" → {thinking: {type: "adaptive"}} + output_config.effort
// "low/medium/high/xhigh" → {thinking: {type: "enabled", budget_tokens: N}}
if level, ok := options["thinking_level"].(string); ok && level != "" && level != "off" {
applyThinkingConfig(&params, level)
}
return params, nil
}
// applyThinkingConfig sets thinking parameters based on the level value.
// "adaptive" uses the adaptive thinking API (Claude 4.6+).
// All other levels use budget_tokens which is universally supported.
//
// Anthropic API constraint: temperature must not be set when thinking is enabled.
// budget_tokens must be strictly less than max_tokens.
func applyThinkingConfig(params *anthropic.MessageNewParams, level string) {
// Anthropic API rejects requests with temperature set alongside thinking.
// Reset to zero value (omitted from JSON serialization).
if params.Temperature.Valid() {
log.Printf("anthropic: temperature cleared because thinking is enabled (level=%s)", level)
}
params.Temperature = anthropic.MessageNewParams{}.Temperature
if level == "adaptive" {
adaptive := anthropic.ThinkingConfigAdaptiveParam{
Display: anthropic.ThinkingConfigAdaptiveDisplaySummarized,
}
params.Thinking = anthropic.ThinkingConfigParamUnion{OfAdaptive: &adaptive}
params.OutputConfig = anthropic.OutputConfigParam{
Effort: anthropic.OutputConfigEffortHigh,
}
return
}
budget := int64(levelToBudget(level))
if budget <= 0 {
return
}
// budget_tokens must be < max_tokens; clamp to respect user's max_tokens setting.
if budget >= params.MaxTokens {
log.Printf("anthropic: budget_tokens (%d) clamped to %d (max_tokens-1)", budget, params.MaxTokens-1)
budget = params.MaxTokens - 1
} else if budget > params.MaxTokens*80/100 {
log.Printf("anthropic: thinking budget (%d) exceeds 80%% of max_tokens (%d), output may be truncated",
budget, params.MaxTokens)
}
params.Thinking = anthropic.ThinkingConfigParamOfEnabled(budget)
}
// levelToBudget maps a thinking level to budget_tokens.
// Values are based on Anthropic's recommendations and community best practices:
//
// low = 4,096 — simple reasoning, quick debugging (Claude Code "think")
// medium = 16,384 — Anthropic recommended sweet spot for most tasks
// high = 32,000 — complex architecture, deep analysis (diminishing returns above this)
// xhigh = 64,000 — extreme reasoning, research problems, benchmarks
//
// Note: For Claude 4.6+, prefer adaptive thinking over manual budget_tokens.
func levelToBudget(level string) int {
switch level {
case "low":
return 4096
case "medium":
return 16384
case "high":
return 32000
case "xhigh":
return 64000
default:
return 0
}
}
func translateTools(tools []ToolDefinition) []anthropic.ToolUnionParam {
result := make([]anthropic.ToolUnionParam, 0, len(tools))
for _, t := range tools {
tool := anthropic.ToolParam{
Name: t.Function.Name,
InputSchema: anthropic.ToolInputSchemaParam{
Properties: t.Function.Parameters["properties"],
},
}
if desc := t.Function.Description; desc != "" {
tool.Description = anthropic.String(desc)
}
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if req, ok := t.Function.Parameters["required"].([]any); ok {
required := make([]string, 0, len(req))
for _, r := range req {
if s, ok := r.(string); ok {
required = append(required, s)
}
}
tool.InputSchema.Required = required
}
result = append(result, anthropic.ToolUnionParam{OfTool: &tool})
}
return result
}
func parseResponse(resp *anthropic.Message) *LLMResponse {
var content strings.Builder
var reasoning strings.Builder
var toolCalls []ToolCall
for _, block := range resp.Content {
switch block.Type {
case "thinking":
tb := block.AsThinking()
reasoning.WriteString(tb.Thinking)
case "text":
tb := block.AsText()
content.WriteString(tb.Text)
case "tool_use":
tu := block.AsToolUse()
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var args map[string]any
if err := json.Unmarshal(tu.Input, &args); err != nil {
log.Printf("anthropic: failed to decode tool call input for %q: %v", tu.Name, err)
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args = map[string]any{"raw": string(tu.Input)}
}
toolCalls = append(toolCalls, ToolCall{
ID: tu.ID,
Name: tu.Name,
Arguments: args,
})
}
}
finishReason := "stop"
switch resp.StopReason {
case anthropic.StopReasonToolUse:
finishReason = "tool_calls"
case anthropic.StopReasonMaxTokens:
finishReason = "length"
case anthropic.StopReasonEndTurn:
finishReason = "stop"
}
return &LLMResponse{
Content: content.String(),
Reasoning: reasoning.String(),
ToolCalls: toolCalls,
FinishReason: finishReason,
Usage: &UsageInfo{
PromptTokens: int(resp.Usage.InputTokens),
CompletionTokens: int(resp.Usage.OutputTokens),
TotalTokens: int(resp.Usage.InputTokens + resp.Usage.OutputTokens),
},
}
}