Baseline project
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use super::openai::*;
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use super::openai_compatible::*;
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use super::*;
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use anyhow::{bail, Context, Result};
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use reqwest::RequestBuilder;
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use serde::Deserialize;
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use serde_json::{json, Value};
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const API_BASE: &str = "https://api.cohere.ai/v2";
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#[derive(Debug, Clone, Deserialize, Default)]
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pub struct CohereConfig {
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pub name: Option<String>,
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pub api_key: Option<String>,
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pub api_base: Option<String>,
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#[serde(default)]
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pub models: Vec<ModelData>,
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pub patch: Option<RequestPatch>,
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pub extra: Option<ExtraConfig>,
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}
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impl CohereClient {
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config_get_fn!(api_key, get_api_key);
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config_get_fn!(api_base, get_api_base);
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pub const PROMPTS: [PromptAction<'static>; 1] = [("api_key", "API Key", None)];
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}
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impl_client_trait!(
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CohereClient,
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(
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prepare_chat_completions,
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chat_completions,
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chat_completions_streaming
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),
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(prepare_embeddings, embeddings),
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(prepare_rerank, generic_rerank),
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);
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fn prepare_chat_completions(
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self_: &CohereClient,
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data: ChatCompletionsData,
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) -> Result<RequestData> {
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let api_key = self_.get_api_key()?;
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let api_base = self_
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.get_api_base()
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.unwrap_or_else(|_| API_BASE.to_string());
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let url = format!("{}/chat", api_base.trim_end_matches('/'));
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let mut body = openai_build_chat_completions_body(data, &self_.model);
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if let Some(obj) = body.as_object_mut() {
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if let Some(top_p) = obj.remove("top_p") {
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obj.insert("p".to_string(), top_p);
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}
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}
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let mut request_data = RequestData::new(url, body);
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request_data.bearer_auth(api_key);
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Ok(request_data)
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}
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fn prepare_embeddings(self_: &CohereClient, data: &EmbeddingsData) -> Result<RequestData> {
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let api_key = self_.get_api_key()?;
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let api_base = self_
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.get_api_base()
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.unwrap_or_else(|_| API_BASE.to_string());
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let url = format!("{}/embed", api_base.trim_end_matches('/'));
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let input_type = match data.query {
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true => "search_query",
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false => "search_document",
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};
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let body = json!({
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"model": self_.model.real_name(),
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"texts": data.texts,
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"input_type": input_type,
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"embedding_types": ["float"],
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});
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let mut request_data = RequestData::new(url, body);
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request_data.bearer_auth(api_key);
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Ok(request_data)
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}
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fn prepare_rerank(self_: &CohereClient, data: &RerankData) -> Result<RequestData> {
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let api_key = self_.get_api_key()?;
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let api_base = self_
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.get_api_base()
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.unwrap_or_else(|_| API_BASE.to_string());
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let url = format!("{}/rerank", api_base.trim_end_matches('/'));
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let body = generic_build_rerank_body(data, &self_.model);
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let mut request_data = RequestData::new(url, body);
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request_data.bearer_auth(api_key);
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Ok(request_data)
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}
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async fn chat_completions(
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builder: RequestBuilder,
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_model: &Model,
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) -> Result<ChatCompletionsOutput> {
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let res = builder.send().await?;
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let status = res.status();
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let data: Value = res.json().await?;
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if !status.is_success() {
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catch_error(&data, status.as_u16())?;
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}
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debug!("non-stream-data: {data}");
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extract_chat_completions(&data)
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}
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async fn chat_completions_streaming(
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builder: RequestBuilder,
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handler: &mut SseHandler,
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_model: &Model,
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) -> Result<()> {
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let mut function_name = String::new();
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let mut function_arguments = String::new();
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let mut function_id = String::new();
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let handle = |message: SseMessage| -> Result<bool> {
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if message.data == "[DONE]" {
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return Ok(true);
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}
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let data: Value = serde_json::from_str(&message.data)?;
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debug!("stream-data: {data}");
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if let Some(typ) = data["type"].as_str() {
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match typ {
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"content-delta" => {
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if let Some(text) = data["delta"]["message"]["content"]["text"].as_str() {
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handler.text(text)?;
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}
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}
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"tool-plan-delta" => {
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if let Some(text) = data["delta"]["message"]["tool_plan"].as_str() {
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handler.text(text)?;
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}
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}
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"tool-call-start" => {
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if let (Some(function), Some(id)) = (
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data["delta"]["message"]["tool_calls"]["function"].as_object(),
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data["delta"]["message"]["tool_calls"]["id"].as_str(),
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) {
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if let Some(name) = function.get("name").and_then(|v| v.as_str()) {
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function_name = name.to_string();
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}
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function_id = id.to_string();
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}
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}
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"tool-call-delta" => {
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if let Some(text) =
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data["delta"]["message"]["tool_calls"]["function"]["arguments"].as_str()
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{
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function_arguments.push_str(text);
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}
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}
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"tool-call-end" => {
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if !function_name.is_empty() {
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let arguments: Value = function_arguments.parse().with_context(|| {
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format!("Tool call '{function_name}' have non-JSON arguments '{function_arguments}'")
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})?;
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handler.tool_call(ToolCall::new(
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function_name.clone(),
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arguments,
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Some(function_id.clone()),
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))?;
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}
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function_name.clear();
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function_arguments.clear();
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function_id.clear();
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}
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_ => {}
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}
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}
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Ok(false)
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};
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sse_stream(builder, handle).await
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}
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async fn embeddings(builder: RequestBuilder, _model: &Model) -> Result<EmbeddingsOutput> {
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let res = builder.send().await?;
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let status = res.status();
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let data: Value = res.json().await?;
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if !status.is_success() {
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catch_error(&data, status.as_u16())?;
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}
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let res_body: EmbeddingsResBody =
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serde_json::from_value(data).context("Invalid embeddings data")?;
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Ok(res_body.embeddings.float)
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}
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#[derive(Deserialize)]
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struct EmbeddingsResBody {
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embeddings: EmbeddingsResBodyEmbeddings,
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}
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#[derive(Deserialize)]
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struct EmbeddingsResBodyEmbeddings {
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float: Vec<Vec<f32>>,
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}
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fn extract_chat_completions(data: &Value) -> Result<ChatCompletionsOutput> {
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let mut text = data["message"]["content"][0]["text"]
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.as_str()
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.unwrap_or_default()
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.to_string();
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let mut tool_calls = vec![];
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if let Some(calls) = data["message"]["tool_calls"].as_array() {
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if text.is_empty() {
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if let Some(tool_plain) = data["message"]["tool_plan"].as_str() {
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text = tool_plain.to_string();
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}
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}
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for call in calls {
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if let (Some(name), Some(arguments), Some(id)) = (
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call["function"]["name"].as_str(),
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call["function"]["arguments"].as_str(),
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call["id"].as_str(),
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) {
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let arguments: Value = arguments.parse().with_context(|| {
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format!("Tool call '{name}' have non-JSON arguments '{arguments}'")
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})?;
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tool_calls.push(ToolCall::new(
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name.to_string(),
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arguments,
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Some(id.to_string()),
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));
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}
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}
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}
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if text.is_empty() && tool_calls.is_empty() {
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bail!("Invalid response data: {data}");
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}
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let output = ChatCompletionsOutput {
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text,
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tool_calls,
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id: data["id"].as_str().map(|v| v.to_string()),
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input_tokens: data["usage"]["billed_units"]["input_tokens"].as_u64(),
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output_tokens: data["usage"]["billed_units"]["output_tokens"].as_u64(),
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};
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Ok(output)
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}
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