1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
|
use super::openai::*;
use super::*;
use anyhow::bail;
use anyhow::Context;
use anyhow::Result;
use reqwest::RequestBuilder;
use serde::Deserialize;
use serde_json::json;
use serde_json::Value;
#[derive(Debug, Clone, Deserialize)]
pub struct RagDedicatedConfig {
pub name: Option<String>,
pub api_base: Option<String>,
pub api_key: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patch: Option<RequestPatch>,
pub extra: Option<ExtraConfig>,
}
impl RagDedicatedClient {
config_get_fn!(api_base, get_api_base);
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptAction<'static>; 0] = [];
fn prepare_chat_completions(&self, _data: ChatCompletionsData) -> Result<RequestData> {
bail!("The client doesn't support chat-completions api");
}
fn prepare_embeddings(&self, data: EmbeddingsData) -> Result<RequestData> {
let api_key = self.get_api_key().ok();
let api_base = self.get_api_base_ext()?;
let url = format!("{api_base}/embeddings");
let body = openai_build_embeddings_body(data, &self.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
fn prepare_rerank(&self, data: RerankData) -> Result<RequestData> {
let api_key = self.get_api_key().ok();
let api_base = self.get_api_base_ext()?;
let url = format!("{api_base}/rerank");
let body = rag_dedicated_build_rerank_body(data, &self.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
fn get_api_base_ext(&self) -> Result<String> {
let api_base = match self.get_api_base() {
Ok(v) => v,
Err(err) => {
match RAG_DEDICATED_PLATFORMS
.into_iter()
.find_map(|(name, api_base)| {
if name == self.model.client_name() {
Some(api_base.to_string())
} else {
None
}
}) {
Some(v) => v,
None => return Err(err),
}
}
};
Ok(api_base)
}
}
impl_client_trait!(
RagDedicatedClient,
no_chat_completions,
no_chat_completions_streaming,
openai_embeddings,
rag_dedicated_rerank
);
pub async fn no_chat_completions(_builder: RequestBuilder) -> Result<ChatCompletionsOutput> {
bail!("The client doesn't support chat-completions api");
}
pub async fn no_chat_completions_streaming(
_builder: RequestBuilder,
_handler: &mut SseHandler,
) -> Result<()> {
bail!("The client doesn't support chat-completions api")
}
pub async fn rag_dedicated_rerank(builder: RequestBuilder) -> Result<RerankOutput> {
let res = builder.send().await?;
let status = res.status();
let mut data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
if data.get("results").is_none() && data.get("data").is_some() {
if let Some(data_obj) = data.as_object_mut() {
if let Some(value) = data_obj.remove("data") {
data_obj.insert("results".to_string(), value);
}
}
}
let res_body: RagDedicatedRerankResBody =
serde_json::from_value(data).context("Invalid rerank data")?;
Ok(res_body.results)
}
#[derive(Deserialize)]
pub struct RagDedicatedRerankResBody {
pub results: RerankOutput,
}
pub fn rag_dedicated_build_rerank_body(data: RerankData, model: &Model) -> Value {
let RerankData {
query,
documents,
top_n,
} = data;
let mut body = json!({
"model": model.name(),
"query": query,
"documents": documents,
});
if model.client_name() == "voyageai" {
body["top_k"] = top_n.into()
} else {
body["top_n"] = top_n.into()
}
body
}
|
