bamboo-server 2026.4.24

HTTP server and API layer for the Bamboo agent framework
Documentation 
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

use actix_web::{web, HttpResponse};

use crate::{app_state::AppState, error::AppError};
use bamboo_engine::metrics::types::ForwardStatus;
use bamboo_infrastructure::api::models::{FunctionCall, ToolCall};
use bamboo_infrastructure::LLMRequestOptions;

use super::{map_provider_error, PreparedChatRequest};
use crate::handlers::openai::{
    helpers::build_completion_response,
    usage::{build_estimated_usage, estimate_completion_tokens},
};

pub(super) async fn handle_non_streaming_chat(
    app_state: web::Data<AppState>,
    prepared: PreparedChatRequest,
    forward_id: String,
) -> Result<HttpResponse, AppError> {
    let PreparedChatRequest {
        resolved_model,
        provider_name,
        internal_messages,
        internal_tools,
        max_tokens,
        reasoning_effort,
        parallel_tool_calls,
        estimated_prompt_tokens,
        ..
    } = prepared;

    let display_model = provider_name
        .as_ref()
        .map(|p| format!("{}/{}", p, resolved_model))
        .unwrap_or_else(|| resolved_model.clone());

    app_state.metrics_service.collector().forward_started(
        forward_id.clone(),
        "openai.chat_completions",
        display_model.clone(),
        false,
        chrono::Utc::now(),
    );

    let provider = match &provider_name {
        Some(name) => {
            let model_ref = bamboo_domain::ProviderModelRef::new(name, &resolved_model);
            app_state.get_provider_for_model_ref(&model_ref)?
        }
        None => app_state.get_provider_for_endpoint("openai").await?,
    };

    let mut stream = provider
        .chat_stream_with_options(
            &internal_messages,
            &internal_tools,
            max_tokens,
            resolved_model.as_str(),
            Some(&LLMRequestOptions {
                session_id: None,
                reasoning_effort,
                parallel_tool_calls,
                responses: None,
            }),
        )
        .await
        .map_err(map_provider_error)?;

    use futures::StreamExt;
    let mut content = String::new();
    let mut tool_calls: Option<Vec<ToolCall>> = None;

    while let Some(chunk_result) = stream.next().await {
        match chunk_result {
            Ok(bamboo_infrastructure::types::LLMChunk::ResponseId(_)) => {}
            Ok(bamboo_infrastructure::types::LLMChunk::Token(text)) => {
                content.push_str(&text);
            }
            Ok(bamboo_infrastructure::types::LLMChunk::ReasoningToken(_)) => {}
            Ok(bamboo_infrastructure::types::LLMChunk::ToolCalls(calls)) => {
                tool_calls = Some(convert_tool_calls(calls));
            }
            Ok(bamboo_infrastructure::types::LLMChunk::CacheUsage { .. }) => {}
            Ok(bamboo_infrastructure::types::LLMChunk::UsageSummary { .. }) => {}
            Ok(bamboo_infrastructure::types::LLMChunk::Done) => break,
            Err(error) => {
                app_state.metrics_service.collector().forward_completed(
                    forward_id,
                    chrono::Utc::now(),
                    None,
                    ForwardStatus::Error,
                    None,
                    Some(error.to_string()),
                );
                return Err(AppError::InternalError(anyhow::anyhow!(
                    "Stream error: {}",
                    error
                )));
            }
        }
    }

    let completion_tokens = estimate_completion_tokens(&content);
    let response = build_completion_response(content, tool_calls, &display_model);
    let usage = build_estimated_usage(estimated_prompt_tokens, completion_tokens);
    app_state.metrics_service.collector().forward_completed(
        forward_id,
        chrono::Utc::now(),
        Some(200),
        ForwardStatus::Success,
        Some(usage),
        None,
    );
    Ok(HttpResponse::Ok().json(response))
}

fn convert_tool_calls(calls: Vec<bamboo_agent_core::tools::ToolCall>) -> Vec<ToolCall> {
    calls
        .into_iter()
        .map(|tool_call| ToolCall {
            id: tool_call.id,
            tool_type: tool_call.tool_type,
            function: FunctionCall {
                name: tool_call.function.name,
                arguments: tool_call.function.arguments,
            },
        })
        .collect()
}