1use async_trait::async_trait;
2use futures_util::Stream;
3use models::*;
4use reqwest::header::HeaderMap;
5use rmcp::model::Content;
6use stakpak_shared::models::integrations::openai::{
7 ChatCompletionResponse, ChatCompletionStreamResponse, ChatMessage, Tool,
8};
9use uuid::Uuid;
10
11pub mod client;
12pub mod error;
13pub mod local;
14pub mod models;
15pub mod stakpak;
16pub mod storage;
17
18pub use client::{
20 AgentClient, AgentClientConfig, DEFAULT_STAKPAK_ENDPOINT, ModelOptions, StakpakConfig,
21};
22
23pub use stakai::{Model, ModelCost, ModelLimit};
25
26pub use storage::{
28 BoxedSessionStorage, Checkpoint, CheckpointState, CheckpointSummary, CreateCheckpointRequest,
29 CreateSessionRequest as StorageCreateSessionRequest, CreateSessionResult, ListCheckpointsQuery,
30 ListCheckpointsResult, ListSessionsQuery, ListSessionsResult, LocalStorage, Session,
31 SessionStats, SessionStatus, SessionStorage, SessionSummary, SessionVisibility, StakpakStorage,
32 StorageError, UpdateSessionRequest as StorageUpdateSessionRequest,
33};
34
35pub fn find_model(model_str: &str, use_stakpak: bool) -> Option<Model> {
43 const PROVIDERS: &[&str] = &["anthropic", "openai", "google"];
44
45 let (provider_hint, model_id) = parse_model_string(model_str);
46
47 let model = provider_hint
49 .and_then(|p| find_in_provider(p, model_id))
50 .or_else(|| {
51 PROVIDERS
52 .iter()
53 .find_map(|&p| find_in_provider(p, model_id))
54 })?;
55
56 Some(if use_stakpak {
57 transform_for_stakpak(model)
58 } else {
59 model
60 })
61}
62
63fn parse_model_string(s: &str) -> (Option<&str>, &str) {
65 match s.find('/') {
66 Some(idx) => {
67 let provider = &s[..idx];
68 let model_id = &s[idx + 1..];
69 let normalized = match provider {
70 "gemini" => "google",
71 p => p,
72 };
73 (Some(normalized), model_id)
74 }
75 None => (None, s),
76 }
77}
78
79fn find_in_provider(provider_id: &str, model_id: &str) -> Option<Model> {
81 let models = stakai::load_models_for_provider(provider_id).ok()?;
82
83 if let Some(model) = models.iter().find(|m| m.id == model_id) {
85 return Some(model.clone());
86 }
87
88 let mut best_match: Option<&Model> = None;
91 let mut best_len = 0;
92
93 for model in &models {
94 if model_id.starts_with(&model.id) && model.id.len() > best_len {
95 best_match = Some(model);
96 best_len = model.id.len();
97 }
98 }
99
100 best_match.cloned()
101}
102
103fn transform_for_stakpak(model: Model) -> Model {
105 Model {
106 id: format!("{}/{}", model.provider, model.id),
107 provider: "stakpak".into(),
108 name: model.name,
109 reasoning: model.reasoning,
110 cost: model.cost,
111 limit: model.limit,
112 release_date: model.release_date,
113 }
114}
115
116#[async_trait]
122pub trait AgentProvider: SessionStorage + Send + Sync {
123 async fn get_my_account(&self) -> Result<GetMyAccountResponse, String>;
125 async fn get_billing_info(
126 &self,
127 account_username: &str,
128 ) -> Result<stakpak_shared::models::billing::BillingResponse, String>;
129
130 async fn list_rulebooks(&self) -> Result<Vec<ListRuleBook>, String>;
132 async fn get_rulebook_by_uri(&self, uri: &str) -> Result<RuleBook, String>;
133 async fn create_rulebook(
134 &self,
135 uri: &str,
136 description: &str,
137 content: &str,
138 tags: Vec<String>,
139 visibility: Option<RuleBookVisibility>,
140 ) -> Result<CreateRuleBookResponse, String>;
141 async fn delete_rulebook(&self, uri: &str) -> Result<(), String>;
142
143 async fn chat_completion(
145 &self,
146 model: Model,
147 messages: Vec<ChatMessage>,
148 tools: Option<Vec<Tool>>,
149 session_id: Option<Uuid>,
150 ) -> Result<ChatCompletionResponse, String>;
151 async fn chat_completion_stream(
152 &self,
153 model: Model,
154 messages: Vec<ChatMessage>,
155 tools: Option<Vec<Tool>>,
156 headers: Option<HeaderMap>,
157 session_id: Option<Uuid>,
158 ) -> Result<
159 (
160 std::pin::Pin<
161 Box<dyn Stream<Item = Result<ChatCompletionStreamResponse, ApiStreamError>> + Send>,
162 >,
163 Option<String>,
164 ),
165 String,
166 >;
167 async fn cancel_stream(&self, request_id: String) -> Result<(), String>;
168
169 async fn search_docs(&self, input: &SearchDocsRequest) -> Result<Vec<Content>, String>;
171
172 async fn memorize_session(&self, checkpoint_id: Uuid) -> Result<(), String>;
174 async fn search_memory(&self, input: &SearchMemoryRequest) -> Result<Vec<Content>, String>;
175
176 async fn slack_read_messages(
178 &self,
179 input: &SlackReadMessagesRequest,
180 ) -> Result<Vec<Content>, String>;
181 async fn slack_read_replies(
182 &self,
183 input: &SlackReadRepliesRequest,
184 ) -> Result<Vec<Content>, String>;
185 async fn slack_send_message(
186 &self,
187 input: &SlackSendMessageRequest,
188 ) -> Result<Vec<Content>, String>;
189
190 async fn list_models(&self) -> Vec<Model>;
192}