feat: add internal ZCLAW kernel crates to git tracking
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iven
226
crates/zclaw-runtime/src/driver/anthropic.rs
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226
crates/zclaw-runtime/src/driver/anthropic.rs
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//! Anthropic Claude driver implementation
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use async_trait::async_trait;
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use secrecy::{ExposeSecret, SecretString};
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use reqwest::Client;
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use serde::{Deserialize, Serialize};
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use zclaw_types::{Result, ZclawError};
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use super::{CompletionRequest, CompletionResponse, ContentBlock, LlmDriver, StopReason};
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/// Anthropic API driver
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pub struct AnthropicDriver {
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client: Client,
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api_key: SecretString,
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base_url: String,
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}
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impl AnthropicDriver {
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pub fn new(api_key: SecretString) -> Self {
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Self {
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client: Client::new(),
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api_key,
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base_url: "https://api.anthropic.com".to_string(),
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}
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}
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pub fn with_base_url(api_key: SecretString, base_url: String) -> Self {
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Self {
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client: Client::new(),
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api_key,
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base_url,
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}
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}
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}
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#[async_trait]
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impl LlmDriver for AnthropicDriver {
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fn provider(&self) -> &str {
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"anthropic"
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}
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fn is_configured(&self) -> bool {
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!self.api_key.expose_secret().is_empty()
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}
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async fn complete(&self, request: CompletionRequest) -> Result<CompletionResponse> {
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let api_request = self.build_api_request(&request);
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let response = self.client
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.post(format!("{}/v1/messages", self.base_url))
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.header("x-api-key", self.api_key.expose_secret())
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.header("anthropic-version", "2023-06-01")
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.header("content-type", "application/json")
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.json(&api_request)
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.send()
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.await
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.map_err(|e| ZclawError::LlmError(format!("HTTP request failed: {}", e)))?;
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if !response.status().is_success() {
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let status = response.status();
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let body = response.text().await.unwrap_or_default();
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return Err(ZclawError::LlmError(format!("API error {}: {}", status, body)));
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}
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let api_response: AnthropicResponse = response
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.json()
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.await
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.map_err(|e| ZclawError::LlmError(format!("Failed to parse response: {}", e)))?;
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Ok(self.convert_response(api_response))
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}
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}
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impl AnthropicDriver {
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fn build_api_request(&self, request: &CompletionRequest) -> AnthropicRequest {
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let messages: Vec<AnthropicMessage> = request.messages
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.iter()
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.filter_map(|msg| match msg {
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zclaw_types::Message::User { content } => Some(AnthropicMessage {
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role: "user".to_string(),
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content: vec!(ContentBlock::Text { text: content.clone() }),
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}),
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zclaw_types::Message::Assistant { content, thinking } => {
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let mut blocks = Vec::new();
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if let Some(think) = thinking {
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blocks.push(ContentBlock::Thinking { thinking: think.clone() });
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}
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blocks.push(ContentBlock::Text { text: content.clone() });
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Some(AnthropicMessage {
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role: "assistant".to_string(),
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content: blocks,
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})
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}
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zclaw_types::Message::ToolUse { id, tool, input } => Some(AnthropicMessage {
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role: "assistant".to_string(),
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content: vec![ContentBlock::ToolUse {
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id: id.clone(),
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name: tool.to_string(),
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input: input.clone(),
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}],
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}),
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zclaw_types::Message::ToolResult { tool_call_id: _, tool: _, output, is_error } => {
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let content = if *is_error {
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format!("Error: {}", output)
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} else {
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output.to_string()
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};
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Some(AnthropicMessage {
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role: "user".to_string(),
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content: vec![ContentBlock::Text { text: content }],
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})
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}
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_ => None,
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})
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.collect();
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let tools: Vec<AnthropicTool> = request.tools
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.iter()
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.map(|t| AnthropicTool {
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name: t.name.clone(),
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description: t.description.clone(),
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input_schema: t.input_schema.clone(),
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})
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.collect();
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AnthropicRequest {
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model: request.model.clone(),
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max_tokens: request.max_tokens.unwrap_or(4096),
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system: request.system.clone(),
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messages,
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tools: if tools.is_empty() { None } else { Some(tools) },
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temperature: request.temperature,
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stop_sequences: if request.stop.is_empty() { None } else { Some(request.stop.clone()) },
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stream: request.stream,
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}
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}
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fn convert_response(&self, api_response: AnthropicResponse) -> CompletionResponse {
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let content: Vec<ContentBlock> = api_response.content
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.into_iter()
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.map(|block| match block.block_type.as_str() {
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"text" => ContentBlock::Text { text: block.text.unwrap_or_default() },
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"thinking" => ContentBlock::Thinking { thinking: block.thinking.unwrap_or_default() },
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"tool_use" => ContentBlock::ToolUse {
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id: block.id.unwrap_or_default(),
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name: block.name.unwrap_or_default(),
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input: block.input.unwrap_or(serde_json::Value::Null),
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},
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_ => ContentBlock::Text { text: String::new() },
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})
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.collect();
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let stop_reason = match api_response.stop_reason.as_deref() {
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Some("end_turn") => StopReason::EndTurn,
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Some("max_tokens") => StopReason::MaxTokens,
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Some("stop_sequence") => StopReason::StopSequence,
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Some("tool_use") => StopReason::ToolUse,
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_ => StopReason::EndTurn,
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};
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CompletionResponse {
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content,
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model: api_response.model,
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input_tokens: api_response.usage.input_tokens,
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output_tokens: api_response.usage.output_tokens,
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stop_reason,
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}
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}
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}
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// Anthropic API types
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#[derive(Serialize)]
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struct AnthropicRequest {
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model: String,
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max_tokens: u32,
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#[serde(skip_serializing_if = "Option::is_none")]
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system: Option<String>,
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messages: Vec<AnthropicMessage>,
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#[serde(skip_serializing_if = "Option::is_none")]
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tools: Option<Vec<AnthropicTool>>,
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#[serde(skip_serializing_if = "Option::is_none")]
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temperature: Option<f32>,
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#[serde(skip_serializing_if = "Option::is_none")]
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stop_sequences: Option<Vec<String>>,
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#[serde(default)]
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stream: bool,
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}
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#[derive(Serialize)]
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struct AnthropicMessage {
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role: String,
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content: Vec<ContentBlock>,
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}
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#[derive(Serialize)]
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struct AnthropicTool {
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name: String,
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description: String,
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input_schema: serde_json::Value,
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}
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#[derive(Deserialize)]
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struct AnthropicResponse {
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content: Vec<AnthropicContentBlock>,
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model: String,
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stop_reason: Option<String>,
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usage: AnthropicUsage,
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}
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#[derive(Deserialize)]
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struct AnthropicContentBlock {
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#[serde(rename = "type")]
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block_type: String,
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text: Option<String>,
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thinking: Option<String>,
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id: Option<String>,
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name: Option<String>,
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input: Option<serde_json::Value>,
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}
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#[derive(Deserialize)]
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struct AnthropicUsage {
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input_tokens: u32,
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output_tokens: u32,
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}
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