use super::{
catch_error, extract_system_message, json_stream, message::*, Client, CohereClient,
CompletionData, CompletionOutput, ExtraConfig, Model, ModelData, ModelPatches, PromptAction,
PromptKind, SseHandler, ToolCall,
};
use anyhow::{bail, Result};
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
use serde_json::{json, Value};
const API_URL: &str = "https://api.cohere.ai/v1/chat";
#[derive(Debug, Clone, Deserialize, Default)]
pub struct CohereConfig {
pub name: Option<String>,
pub api_key: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patches: Option<ModelPatches>,
pub extra: Option<ExtraConfig>,
}
impl CohereClient {
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptAction<'static>; 1] =
[("api_key", "API Key:", true, PromptKind::String)];
fn request_builder(
&self,
client: &ReqwestClient,
data: CompletionData,
) -> Result<RequestBuilder> {
let api_key = self.get_api_key()?;
let mut body = build_body(data, &self.model)?;
self.patch_request_body(&mut body);
let url = API_URL;
debug!("Cohere Request: {url} {body}");
let builder = client.post(url).bearer_auth(api_key).json(&body);
Ok(builder)
}
}
impl_client_trait!(CohereClient, send_message, send_message_streaming);
async fn send_message(builder: RequestBuilder) -> Result<CompletionOutput> {
let res = builder.send().await?;
let status = res.status();
let data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
debug!("non-stream-data: {data}");
extract_completion(&data)
}
async fn send_message_streaming(builder: RequestBuilder, handler: &mut SseHandler) -> Result<()> {
let res = builder.send().await?;
let status = res.status();
if !status.is_success() {
let data: Value = res.json().await?;
catch_error(&data, status.as_u16())?;
} else {
let handle = |data: &str| -> Result<()> {
let data: Value = serde_json::from_str(data)?;
debug!("stream-data: {data}");
if let Some("text-generation") = data["event_type"].as_str() {
if let Some(text) = data["text"].as_str() {
handler.text(text)?;
}
} else if let Some("tool-calls-generation") = data["event_type"].as_str() {
if let Some(tool_calls) = data["tool_calls"].as_array() {
for call in tool_calls {
if let (Some(name), Some(args)) =
(call["name"].as_str(), call["parameters"].as_object())
{
handler.tool_call(ToolCall::new(
name.to_string(),
json!(args),
None,
))?;
}
}
}
}
Ok(())
};
json_stream(res.bytes_stream(), handle).await?;
}
Ok(())
}
fn build_body(data: CompletionData, model: &Model) -> Result<Value> {
let CompletionData {
mut messages,
temperature,
top_p,
functions,
stream,
} = data;
let system_message = extract_system_message(&mut messages);
let mut image_urls = vec![];
let mut tool_results = None;
let mut messages: Vec<Value> = messages
.into_iter()
.filter_map(|message| {
let Message { role, content } = message;
let role = match role {
MessageRole::User => "USER",
_ => "CHATBOT",
};
match content {
MessageContent::Text(text) => Some(json!({
"role": role,
"message": text,
})),
MessageContent::Array(list) => {
let list: Vec<String> = list
.into_iter()
.filter_map(|item| match item {
MessageContentPart::Text { text } => Some(text),
MessageContentPart::ImageUrl {
image_url: ImageUrl { url },
} => {
image_urls.push(url.clone());
None
}
})
.collect();
Some(json!({ "role": role, "message": list.join("\n\n") }))
}
MessageContent::ToolResults((tool_call_results, _)) => {
tool_results = Some(tool_call_results);
None
}
}
})
.collect();
if !image_urls.is_empty() {
bail!("The model does not support images: {:?}", image_urls);
}
let message = messages.pop().unwrap();
let message = message["message"].as_str().unwrap_or_default();
let mut body = json!({
"model": &model.name(),
"message": message,
});
if let Some(tool_results) = tool_results {
let tool_results: Vec<_> = tool_results
.into_iter()
.map(|tool_call_result| {
json!({
"call": {
"name": tool_call_result.call.name,
"parameters": tool_call_result.call.arguments,
},
"outputs": [
tool_call_result.output,
]
})
})
.collect();
body["tool_results"] = json!(tool_results);
}
if let Some(v) = system_message {
body["preamble"] = v.into();
}
if !messages.is_empty() {
body["chat_history"] = messages.into();
}
if let Some(v) = model.max_tokens_param() {
body["max_tokens"] = v.into();
}
if let Some(v) = temperature {
body["temperature"] = v.into();
}
if let Some(v) = top_p {
body["p"] = v.into();
}
if stream {
body["stream"] = true.into();
}
if let Some(functions) = functions {
body["tools"] = functions
.iter()
.map(|v| {
let required = v.parameters.required.clone().unwrap_or_default();
let mut parameter_definitions = json!({});
if let Some(properties) = &v.parameters.properties {
for (key, value) in properties {
let mut value: Value = json!(value);
if value.is_object() && required.iter().any(|x| x == key) {
value["required"] = true.into();
}
parameter_definitions[key] = value;
}
}
json!({
"name": v.name,
"description": v.description,
"parameter_definitions": parameter_definitions,
})
})
.collect();
}
Ok(body)
}
fn extract_completion(data: &Value) -> Result<CompletionOutput> {
let text = data["text"].as_str().unwrap_or_default();
let mut tool_calls = vec![];
if let Some(calls) = data["tool_calls"].as_array() {
tool_calls = calls
.iter()
.filter_map(|call| {
if let (Some(name), Some(parameters)) =
(call["name"].as_str(), call["parameters"].as_object())
{
Some(ToolCall::new(name.to_string(), json!(parameters), None))
} else {
None
}
})
.collect()
}
if text.is_empty() && tool_calls.is_empty() {
bail!("Invalid response data: {data}");
}
let output = CompletionOutput {
text: text.to_string(),
tool_calls,
id: data["generation_id"].as_str().map(|v| v.to_string()),
input_tokens: data["meta"]["billed_units"]["input_tokens"].as_u64(),
output_tokens: data["meta"]["billed_units"]["output_tokens"].as_u64(),
};
Ok(output)
}