From 1064301f45ba0d7f498dc03bde7d8845c714e5d7 Mon Sep 17 00:00:00 2001 From: Adil Hafeez Date: Sat, 26 Oct 2024 14:14:10 -0700 Subject: [PATCH] add e2e tests --- .github/workflows/e2e_tests.yml | 37 ++ arch/envoy.template.yaml | 6 + archgw.code-workspace | 4 + chatbot_ui/app/run.py | 29 +- crates/common/src/common_types.rs | 56 +- crates/common/src/consts.rs | 1 + crates/llm_gateway/src/stream_context.rs | 38 +- crates/prompt_gateway/src/http_context.rs | 85 ++- crates/prompt_gateway/src/stream_context.rs | 28 +- demos/function_calling/arch_config.yaml | 19 +- demos/function_calling/docker-compose.yaml | 2 + e2e_tests/.vscode/settings.json | 7 + e2e_tests/common.py | 25 + e2e_tests/common_scripts.sh | 33 + e2e_tests/poetry.lock | 640 ++++++++++++++++++++ e2e_tests/pyproject.toml | 21 + e2e_tests/run_e2e_tests.sh | 44 ++ e2e_tests/test_llm_gateway.py | 36 ++ e2e_tests/test_prompt_gateway.py | 114 ++++ 19 files changed, 1147 insertions(+), 78 deletions(-) create mode 100644 .github/workflows/e2e_tests.yml create mode 100644 e2e_tests/.vscode/settings.json create mode 100644 e2e_tests/common.py create mode 100644 e2e_tests/common_scripts.sh create mode 100644 e2e_tests/poetry.lock create mode 100644 e2e_tests/pyproject.toml create mode 100644 e2e_tests/run_e2e_tests.sh create mode 100644 e2e_tests/test_llm_gateway.py create mode 100644 e2e_tests/test_prompt_gateway.py diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml new file mode 100644 index 00000000..fe63d4f5 --- /dev/null +++ b/.github/workflows/e2e_tests.yml @@ -0,0 +1,37 @@ +name: Run Model Server tests + +on: + push: + branches: + - main # Run tests on pushes to the main branch + pull_request: + +jobs: + test: + runs-on: ubuntu-latest + + steps: + # Step 1: Check out the code from your repository + - name: Checkout code + uses: actions/checkout@v3 + + # Step 2: Set up Python (specify the version) + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.10" # Adjust to your Python version + + # Step 3: Install Poetry + - name: Install Poetry + run: | + curl -sSL https://install.python-poetry.org | python3 - + export PATH="$HOME/.local/bin:$PATH" + + - name: run e2e tests + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }} + run: | + cd e2e_tests + poetry install + sh run_e2e_tests.sh diff --git a/arch/envoy.template.yaml b/arch/envoy.template.yaml index 076c461e..a1ed4472 100644 --- a/arch/envoy.template.yaml +++ b/arch/envoy.template.yaml @@ -207,6 +207,12 @@ static_resources: domains: - "*" routes: + - match: + prefix: "/healthz" + route: + auto_host_rewrite: true + cluster: openai + timeout: 60s {% for provider in arch_llm_providers %} - match: prefix: "/" diff --git a/archgw.code-workspace b/archgw.code-workspace index 9148057d..230e2225 100644 --- a/archgw.code-workspace +++ b/archgw.code-workspace @@ -20,6 +20,10 @@ "name": "chatbot_ui", "path": "chatbot_ui" }, + { + "name": "e2e_tests", + "path": "e2e_tests" + }, { "name": "demos/function_calling", "path": "./demos/function_calling", diff --git a/chatbot_ui/app/run.py b/chatbot_ui/app/run.py index 0d504337..c8fcccd1 100644 --- a/chatbot_ui/app/run.py +++ b/chatbot_ui/app/run.py @@ -129,13 +129,30 @@ def chat(query: Optional[str], conversation: Optional[List[Tuple[str, str]]], st ] for chunk in response: - if len(chunk.choices) > 0 and chunk.choices[0].delta.content is not None: + if len(chunk.choices) > 0: + if chunk.choices[0].delta.role: + if history[-1]["role"] != chunk.choices[0].delta.role: + history.append( + { + "role": chunk.choices[0].delta.role, + "content": chunk.choices[0].delta.content, + "model": chunk.model, + "tool_calls": chunk.choices[0].delta.tool_calls, + } + ) + history[-1]["model"] = chunk.model - history[-1]["content"] = chunk.choices[0].delta.content - messages[-1] = ( - messages[-1][0], - messages[-1][1] + chunk.choices[0].delta.content, - ) + if chunk.choices[0].delta.content: + history[-1]["content"] = ( + history[-1]["content"] + chunk.choices[0].delta.content + ) + history[-1]["tool_calls"] = chunk.choices[0].delta.tool_calls + + if chunk.model and chunk.choices[0].delta.content: + messages[-1] = ( + messages[-1][0], + messages[-1][1] + chunk.choices[0].delta.content, + ) yield "", messages, state else: log.error(f"raw_response: {raw_response.text}") diff --git a/crates/common/src/common_types.rs b/crates/common/src/common_types.rs index 57da1519..4ca9dbeb 100644 --- a/crates/common/src/common_types.rs +++ b/crates/common/src/common_types.rs @@ -185,12 +185,16 @@ pub mod open_ai { #[derive(Debug, Clone, Serialize, Deserialize)] pub struct Message { pub role: String, + #[serde(skip_serializing_if = "Option::is_none")] pub content: Option, + #[serde(skip_serializing_if = "Option::is_none")] pub model: Option, + #[serde(skip_serializing_if = "Option::is_none")] pub tool_calls: Option>, + #[serde(skip_serializing_if = "Option::is_none")] pub tool_call_id: Option, } @@ -244,8 +248,9 @@ pub mod open_ai { } #[derive(Debug, Clone, Serialize, Deserialize)] - pub struct ChatCompletionChunkResponse { - pub model: String, + pub struct ChatCompletionStreamResponse { + #[serde(skip_serializing_if = "Option::is_none")] + pub model: Option, pub choices: Vec, } @@ -259,11 +264,11 @@ pub mod open_ai { NoChunks, } - pub struct ChatCompletionChunkResponseServerEvents { - pub events: Vec, + pub struct ChatCompletionStreamResponseServerEvents { + pub events: Vec, } - impl Display for ChatCompletionChunkResponseServerEvents { + impl Display for ChatCompletionStreamResponseServerEvents { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { let tokens_str = self .events @@ -285,19 +290,19 @@ pub mod open_ai { } } - impl TryFrom<&str> for ChatCompletionChunkResponseServerEvents { + impl TryFrom<&str> for ChatCompletionStreamResponseServerEvents { type Error = ChatCompletionChunkResponseError; fn try_from(value: &str) -> Result { - let response_chunks: VecDeque = value + let response_chunks: VecDeque = value .lines() .filter(|line| line.starts_with("data: ")) .map(|line| line.get(6..).unwrap()) .filter(|data_chunk| *data_chunk != "[DONE]") - .map(serde_json::from_str::) - .collect::, _>>()?; + .map(serde_json::from_str::) + .collect::, _>>()?; - Ok(ChatCompletionChunkResponseServerEvents { + Ok(ChatCompletionStreamResponseServerEvents { events: response_chunks.into(), }) } @@ -312,7 +317,20 @@ pub mod open_ai { #[derive(Debug, Clone, Serialize, Deserialize)] pub struct Delta { + #[serde(skip_serializing_if = "Option::is_none")] + pub role: Option, + + #[serde(skip_serializing_if = "Option::is_none")] pub content: Option, + + #[serde(skip_serializing_if = "Option::is_none")] + pub tool_calls: Option>, + + #[serde(skip_serializing_if = "Option::is_none")] + pub model: Option, + + #[serde(skip_serializing_if = "Option::is_none")] + pub tool_call_id: Option, } } @@ -370,7 +388,7 @@ pub struct PromptGuardResponse { #[cfg(test)] mod test { - use crate::common_types::open_ai::{ChatCompletionChunkResponseServerEvents, Message}; + use crate::common_types::open_ai::{ChatCompletionStreamResponseServerEvents, Message}; use pretty_assertions::{assert_eq, assert_ne}; use std::collections::HashMap; @@ -508,7 +526,7 @@ mod test { #[test] fn stream_chunk_parse() { - use super::open_ai::{ChatCompletionChunkResponse, ChunkChoice, Delta}; + use super::open_ai::{ChatCompletionStreamResponse, ChunkChoice, Delta}; const CHUNK_RESPONSE: &str = r#"data: {"id":"chatcmpl-ALmdmtKulBMEq3fRLbrnxJwcKOqvS","object":"chat.completion.chunk","created":1729755226,"model":"gpt-3.5-turbo-0125","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"logprobs":null,"finish_reason":null}]} @@ -524,7 +542,7 @@ data: {"id":"chatcmpl-ALmdmtKulBMEq3fRLbrnxJwcKOqvS","object":"chat.completion.c "#; let sever_events = - ChatCompletionChunkResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); + ChatCompletionStreamResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); assert_eq!(sever_events.events.len(), 5); assert_eq!( sever_events.events[0].choices[0] @@ -571,7 +589,7 @@ data: {"id":"chatcmpl-ALmdmtKulBMEq3fRLbrnxJwcKOqvS","object":"chat.completion.c #[test] fn stream_chunk_parse_done() { - use super::open_ai::{ChatCompletionChunkResponse, ChunkChoice, Delta}; + use super::open_ai::{ChatCompletionStreamResponse, ChunkChoice, Delta}; const CHUNK_RESPONSE: &str = r#"data: {"id":"chatcmpl-ALn2KTfmrIpYd9N3Un4Kyg08WIIP6","object":"chat.completion.chunk","created":1729756748,"model":"gpt-3.5-turbo-0125","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":" I"},"logprobs":null,"finish_reason":null}]} @@ -588,8 +606,8 @@ data: {"id":"chatcmpl-ALn2KTfmrIpYd9N3Un4Kyg08WIIP6","object":"chat.completion.c data: [DONE] "#; - let sever_events: ChatCompletionChunkResponseServerEvents = - ChatCompletionChunkResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); + let sever_events: ChatCompletionStreamResponseServerEvents = + ChatCompletionStreamResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); assert_eq!(sever_events.events.len(), 6); assert_eq!( sever_events.events[0].choices[0] @@ -638,7 +656,7 @@ data: [DONE] #[test] fn stream_chunk_parse_mistral() { - use super::open_ai::{ChatCompletionChunkResponse, ChunkChoice, Delta}; + use super::open_ai::{ChatCompletionStreamResponse, ChunkChoice, Delta}; const CHUNK_RESPONSE: &str = r#"data: {"id":"e1ebce16de5443b79613512c2d757936","object":"chat.completion.chunk","created":1729805261,"model":"ministral-8b-latest","choices":[{"index":0,"delta":{"role":"assistant","content":""},"finish_reason":null}]} @@ -665,8 +683,8 @@ data: {"id":"e1ebce16de5443b79613512c2d757936","object":"chat.completion.chunk", data: [DONE] "#; - let sever_events: ChatCompletionChunkResponseServerEvents = - ChatCompletionChunkResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); + let sever_events: ChatCompletionStreamResponseServerEvents = + ChatCompletionStreamResponseServerEvents::try_from(CHUNK_RESPONSE).unwrap(); assert_eq!(sever_events.events.len(), 11); assert_eq!( diff --git a/crates/common/src/consts.rs b/crates/common/src/consts.rs index f8a8b847..6922b34b 100644 --- a/crates/common/src/consts.rs +++ b/crates/common/src/consts.rs @@ -18,6 +18,7 @@ pub const ARCH_ROUTING_HEADER: &str = "x-arch-llm-provider"; pub const MESSAGES_KEY: &str = "messages"; pub const ARCH_PROVIDER_HINT_HEADER: &str = "x-arch-llm-provider-hint"; pub const CHAT_COMPLETIONS_PATH: &str = "/v1/chat/completions"; +pub const HEALTHZ_PATH: &str = "/healthz"; pub const ARCH_STATE_HEADER: &str = "x-arch-state"; pub const ARCH_FC_MODEL_NAME: &str = "Arch-Function-1.5B"; pub const REQUEST_ID_HEADER: &str = "x-request-id"; diff --git a/crates/llm_gateway/src/stream_context.rs b/crates/llm_gateway/src/stream_context.rs index f66aae7c..a0eaf393 100644 --- a/crates/llm_gateway/src/stream_context.rs +++ b/crates/llm_gateway/src/stream_context.rs @@ -1,6 +1,6 @@ use crate::filter_context::WasmMetrics; use common::common_types::open_ai::{ - ChatCompletionChunkResponseServerEvents, ChatCompletionsRequest, ChatCompletionsResponse, + ChatCompletionStreamResponseServerEvents, ChatCompletionsRequest, ChatCompletionsResponse, StreamOptions, }; use common::configuration::LlmProvider; @@ -13,7 +13,7 @@ use common::llm_providers::LlmProviders; use common::ratelimit::Header; use common::{ratelimit, routing, tokenizer}; use http::StatusCode; -use log::{debug, warn}; +use log::{debug, trace, warn}; use proxy_wasm::traits::*; use proxy_wasm::types::*; use std::num::NonZero; @@ -222,6 +222,12 @@ impl HttpContext for StreamContext { .clone_from(&self.llm_provider.as_ref().unwrap().model); let chat_completion_request_str = serde_json::to_string(&deserialized_body).unwrap(); + trace!( + "arch => {:?}, body: {}", + deserialized_body.model, + chat_completion_request_str + ); + if deserialized_body.stream { self.streaming_response = Some(StreamingResponse::new()); } @@ -243,10 +249,6 @@ impl HttpContext for StreamContext { return Action::Continue; } - debug!( - "arch => {:?}, body: {}", - deserialized_body.model, chat_completion_request_str - ); self.set_http_request_body(0, body_size, chat_completion_request_str.as_bytes()); Action::Continue @@ -318,7 +320,7 @@ impl HttpContext for StreamContext { if self.streaming_response.is_some() { let chat_completions_chunk_response_events = - match ChatCompletionChunkResponseServerEvents::try_from(body_utf8.as_str()) { + match ChatCompletionStreamResponseServerEvents::try_from(body_utf8.as_str()) { Ok(response) => response, Err(e) => { debug!( @@ -343,16 +345,20 @@ impl HttpContext for StreamContext { let tokens_str = chat_completions_chunk_response_events.to_string(); //HACK: add support for tokenizing mistral and other models //filed issue https://github.com/katanemo/arch/issues/222 - if model.starts_with("mistral") || model.starts_with("ministral") { - model = "gpt-4".to_string(); + if model.as_ref().unwrap().starts_with("mistral") + || model.as_ref().unwrap().starts_with("ministral") + { + model = Some("gpt-4".to_string()); } - let token_count = match tokenizer::token_count(model.as_str(), tokens_str.as_str()) { - Ok(token_count) => token_count, - Err(e) => { - debug!("could not get token count: {:?}", e); - return Action::Continue; - } - }; + let token_count = + match tokenizer::token_count(model.as_ref().unwrap().as_str(), tokens_str.as_str()) + { + Ok(token_count) => token_count, + Err(e) => { + debug!("could not get token count: {:?}", e); + return Action::Continue; + } + }; self.response_tokens += token_count; } else { debug!("non streaming response"); diff --git a/crates/prompt_gateway/src/http_context.rs b/crates/prompt_gateway/src/http_context.rs index e6fdfeb7..69bdb531 100644 --- a/crates/prompt_gateway/src/http_context.rs +++ b/crates/prompt_gateway/src/http_context.rs @@ -3,14 +3,14 @@ use std::{collections::HashMap, time::Duration}; use common::{ common_types::{ open_ai::{ - ArchState, ChatCompletionChunkResponseServerEvents, ChatCompletionsRequest, Message, + ArchState, ChatCompletionStreamResponse, ChatCompletionsRequest, ChunkChoice, Delta, }, PromptGuardRequest, PromptGuardTask, }, consts::{ ARCH_FC_MODEL_NAME, ARCH_INTERNAL_CLUSTER_NAME, ARCH_STATE_HEADER, ARCH_UPSTREAM_HOST_HEADER, ASSISTANT_ROLE, CHAT_COMPLETIONS_PATH, GUARD_INTERNAL_HOST, - REQUEST_ID_HEADER, TOOL_ROLE, USER_ROLE, + HEALTHZ_PATH, REQUEST_ID_HEADER, TOOL_ROLE, USER_ROLE, }, errors::ServerError, http::{CallArgs, Client}, @@ -33,6 +33,15 @@ impl HttpContext for StreamContext { // manipulate the body in benign ways e.g., compression. self.set_http_request_header("content-length", None); + if self.get_http_request_header(":path").unwrap_or_default() == HEALTHZ_PATH { + if self.embeddings_store.is_none() { + self.send_http_response(503, vec![], None); + } else { + self.send_http_response(200, vec![], None); + } + return Action::Continue; + } + self.is_chat_completions_request = self.get_http_request_header(":path").unwrap_or_default() == CHAT_COMPLETIONS_PATH; @@ -279,21 +288,46 @@ impl HttpContext for StreamContext { if self.streaming_response { trace!("streaming response"); - let chat_completions_chunk_response_events = - match ChatCompletionChunkResponseServerEvents::try_from(body_utf8.as_str()) { - Ok(response) => response, - Err(e) => { - debug!( - "invalid streaming response: body str: {}, {:?}", - body_utf8, e - ); - return Action::Continue; - } + if self.tool_calls.is_some() { + let tool_call_chunk = ChatCompletionStreamResponse { + model: Some(ARCH_FC_MODEL_NAME.to_string()), + choices: vec![ChunkChoice { + delta: Delta { + role: Some(ASSISTANT_ROLE.to_string()), + tool_calls: self.tool_calls.to_owned(), + content: None, + model: Some(ARCH_FC_MODEL_NAME.to_string()), + tool_call_id: None, + }, + finish_reason: None, + }], }; - debug!( - "parsed events: {}", - chat_completions_chunk_response_events.to_string() - ); + + let tool_call_chunk_str = serde_json::to_string(&tool_call_chunk).unwrap(); + + let api_call_chunk = ChatCompletionStreamResponse { + model: None, + choices: vec![ChunkChoice { + delta: Delta { + role: Some(TOOL_ROLE.to_string()), + tool_calls: None, + content: self.tool_call_response.clone(), + model: Some(ARCH_FC_MODEL_NAME.to_string()), + tool_call_id: None, + }, + finish_reason: None, + }], + }; + + let api_call_chunk_str = serde_json::to_string(&api_call_chunk).unwrap(); + let chunk_str = format!( + "data: {}\n\ndata: {}\n\n{}", + tool_call_chunk_str, api_call_chunk_str, body_utf8 + ); + + self.set_http_response_body(0, body_size, chunk_str.as_bytes()); + self.tool_calls = None; + } } else if let Some(tool_calls) = self.tool_calls.as_ref() { if !tool_calls.is_empty() { if self.arch_state.is_none() { @@ -311,24 +345,9 @@ impl HttpContext for StreamContext { *metadata = Value::Object(serde_json::Map::new()); } - // since arch gateway generates tool calls (using arch-fc) and calls upstream api to - // get response, we will send these back to developer so they can see the api response - // and tool call arch-fc generated let fc_messages = vec![ - Message { - role: ASSISTANT_ROLE.to_string(), - content: None, - model: Some(ARCH_FC_MODEL_NAME.to_string()), - tool_calls: self.tool_calls.clone(), - tool_call_id: None, - }, - Message { - role: TOOL_ROLE.to_string(), - content: self.tool_call_response.clone(), - model: None, - tool_calls: None, - tool_call_id: Some(self.tool_calls.as_ref().unwrap()[0].id.clone()), - }, + self.generate_toll_call_message(), + self.generate_api_response_message(), ]; let fc_messages_str = serde_json::to_string(&fc_messages).unwrap(); let arch_state = HashMap::from([("messages".to_string(), fc_messages_str)]); diff --git a/crates/prompt_gateway/src/stream_context.rs b/crates/prompt_gateway/src/stream_context.rs index ade29268..8899018f 100644 --- a/crates/prompt_gateway/src/stream_context.rs +++ b/crates/prompt_gateway/src/stream_context.rs @@ -62,7 +62,7 @@ pub struct StreamCallContext { pub struct StreamContext { system_prompt: Rc>, prompt_targets: Rc>, - embeddings_store: Option>, + pub embeddings_store: Option>, overrides: Rc>, pub metrics: Rc, pub callouts: RefCell>, @@ -309,7 +309,11 @@ impl StreamContext { match serde_json::from_str(boyd_str.as_str()) { Ok(hallucination_response) => hallucination_response, Err(e) => { - warn!("error deserializing hallucination response: {}", e); + warn!( + "error deserializing hallucination response: {}, body: {}", + e, + boyd_str.as_str() + ); return self.send_server_error(ServerError::Deserialization(e), None); } }; @@ -1015,6 +1019,26 @@ impl StreamContext { self.set_http_request_body(0, self.request_body_size, json_resp.as_bytes()); self.resume_http_request(); } + + pub fn generate_toll_call_message(&mut self) -> Message { + Message { + role: ASSISTANT_ROLE.to_string(), + content: None, + model: Some(ARCH_FC_MODEL_NAME.to_string()), + tool_calls: self.tool_calls.clone(), + tool_call_id: None, + } + } + + pub fn generate_api_response_message(&mut self) -> Message { + Message { + role: TOOL_ROLE.to_string(), + content: self.tool_call_response.clone(), + model: None, + tool_calls: None, + tool_call_id: Some(self.tool_calls.as_ref().unwrap()[0].id.clone()), + } + } } impl Client for StreamContext { diff --git a/demos/function_calling/arch_config.yaml b/demos/function_calling/arch_config.yaml index 61f85882..c4b0bd7b 100644 --- a/demos/function_calling/arch_config.yaml +++ b/demos/function_calling/arch_config.yaml @@ -16,12 +16,27 @@ overrides: prompt_target_intent_matching_threshold: 0.6 llm_providers: - - name: gpt + - name: gpt-4o-mini access_key: $OPENAI_API_KEY provider: openai - model: gpt-3.5-turbo + model: gpt-4o-mini default: true + - name: gpt-3.5-turbo-0125 + access_key: $OPENAI_API_KEY + provider: openai + model: gpt-3.5-turbo-0125 + + - name: gpt-4o + access_key: $OPENAI_API_KEY + provider: openai + model: gpt-4o + + - name: ministral-3b + access_key: $MISTRAL_API_KEY + provider: mistral + model: ministral-3b-latest + system_prompt: | You are a helpful assistant. diff --git a/demos/function_calling/docker-compose.yaml b/demos/function_calling/docker-compose.yaml index 379b2cf7..5fefdc34 100644 --- a/demos/function_calling/docker-compose.yaml +++ b/demos/function_calling/docker-compose.yaml @@ -38,6 +38,8 @@ services: - "${PORT_UI:-55679}:55679" - "${PORT_GRPC:-4317}:4317" - "${PORT_HTTP:-4318}:4318" + profiles: + - monitoring prometheus: image: prom/prometheus diff --git a/e2e_tests/.vscode/settings.json b/e2e_tests/.vscode/settings.json new file mode 100644 index 00000000..98ba633e --- /dev/null +++ b/e2e_tests/.vscode/settings.json @@ -0,0 +1,7 @@ +{ + "python.testing.pytestArgs": [ + "." + ], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true +} diff --git a/e2e_tests/common.py b/e2e_tests/common.py new file mode 100644 index 00000000..00ba513c --- /dev/null +++ b/e2e_tests/common.py @@ -0,0 +1,25 @@ +import os + + +PROMPT_GATEWAY_ENDPOINT = os.getenv( + "PROMPT_GATEWAY_ENDPOINT", "http://localhost:10000/v1/chat/completions" +) +LLM_GATEWAY_ENDPOINT = os.getenv( + "LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1/chat/completions" +) + + +def get_data_chunks(stream, n=1): + chunks = [] + for chunk in stream.iter_lines(): + if chunk: + chunk = chunk.decode("utf-8") + chunk_data_id = chunk[0:6] + assert chunk_data_id == "data: " + chunk_data = chunk[6:] + chunk_data = chunk_data.strip() + # chunk_data = chunk_data.replace("null", "None") + chunks.append(chunk_data) + if len(chunks) >= n: + break + return chunks diff --git a/e2e_tests/common_scripts.sh b/e2e_tests/common_scripts.sh new file mode 100644 index 00000000..d79dda5e --- /dev/null +++ b/e2e_tests/common_scripts.sh @@ -0,0 +1,33 @@ +#!/bin/bash + +function log() { + timestamp=$(date +"%Y-%m-%d %H:%M:%S") + message="$*" + echo "$timestamp: $message" +} + +function wait_for_healthz() { + local healthz_url="$1" + local timeout_seconds="${2:-30}" # Default timeout of 30 seconds + local sleep_between="${3:-1}" # Default sleep of 1 seconds + + local start_time=$(date +%s) + + while true; do + local response_code=$(curl -s -o /dev/null -w "%{http_code}" "$healthz_url") + + log "Healthz endpoint $healthz_url response code: $response_code" + if [[ "$response_code" -eq 200 ]]; then + log "Healthz endpoint is healthy. Proceeding..." + return 0 + fi + + local elapsed_time=$(( $(date +%s) - $start_time )) + if [[ $elapsed_time -ge $timeout_seconds ]]; then + log "Timeout reached. Healthz endpoint is still unhealthy. Exiting..." + return 1 + fi + + sleep $sleep_between + done +} diff --git a/e2e_tests/poetry.lock b/e2e_tests/poetry.lock new file mode 100644 index 00000000..fe5f5eb4 --- /dev/null +++ b/e2e_tests/poetry.lock @@ -0,0 +1,640 @@ +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. + +[[package]] +name = "attrs" +version = "24.2.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, + {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, +] + +[package.extras] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest 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"sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, + {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, +] + +[package.dependencies] +h11 = ">=0.9.0,<1" + +[metadata] +lock-version = "2.0" +python-versions = "^3.10" +content-hash = "9599d8855914d13d1762c6b30ed9526240baceda274af2b49d64835063fc9b29" diff --git a/e2e_tests/pyproject.toml b/e2e_tests/pyproject.toml new file mode 100644 index 00000000..583b10e6 --- /dev/null +++ b/e2e_tests/pyproject.toml @@ -0,0 +1,21 @@ +[tool.poetry] +name = "e2e_tests" +version = "0.0.1" +description = "e2e tests for prompt and llm gateway" +authors = ["Katanemo Labs, Inc "] +license = "Apache 2.0" +readme = "README.md" +package-mode = false + +[tool.poetry.dependencies] +python = "^3.10" +pytest = "^7.3.1" +requests = "^2.29.0" +selenium = "^4.11.2" + +[tool.poetry.dev-dependencies] +pytest-cov = "^4.1.0" + +[tool.pytest.ini_options] +python_files = ["test*.py"] +addopts = ["-v", "-s"] diff --git a/e2e_tests/run_e2e_tests.sh b/e2e_tests/run_e2e_tests.sh new file mode 100644 index 00000000..ebd544f3 --- /dev/null +++ b/e2e_tests/run_e2e_tests.sh @@ -0,0 +1,44 @@ +# if any of the commands fail, the script will exit +set -e + +source common_scripts.sh + +log building function_callling demo +pushd ../demos/function_calling +docker compose build + +log starting the function_calling demo +docker compose up -d +popd + +log building model server +pushd ../model_server +poetry install +log starting model server +archgw_modelserver restart +popd + +log building llm and prompt gateway rust modules +pushd ../arch +sh build_filter_image.sh +log starting the arch gateway service +ARCH_CONFIG_FILE=../demos/function_calling/arch_config.yaml +docker compose -f docker-compose.dev.yaml down +docker compose -f docker-compose.dev.yaml up -d +popd + +wait_for_healthz "http://localhost:10000/healthz" 60 + +log running e2e tests +poetry install +poetry run pytest + +log shutting down the arch gateway service +pushd ../arch +docker compose -f docker-compose.dev.yaml stop +popd + +log shutting down the function_calling demo +pushd ../demos/function_calling +docker compose down +popd diff --git a/e2e_tests/test_llm_gateway.py b/e2e_tests/test_llm_gateway.py new file mode 100644 index 00000000..74209c84 --- /dev/null +++ b/e2e_tests/test_llm_gateway.py @@ -0,0 +1,36 @@ +import json +import pytest +import requests + +from common import LLM_GATEWAY_ENDPOINT, get_data_chunks + + +# test default llm +@pytest.mark.parametrize("stream", [True, False]) +@pytest.mark.parametrize("provider_hint", [None, "gpt-3.5-turbo-0125"]) +def test_hello_llm_gateway_llm(stream, provider_hint): + expected_llm = "gpt-4o-mini-2024-07-18" if provider_hint is None else provider_hint + body = { + "messages": [ + { + "role": "user", + "content": "hello", + } + ], + "stream": stream, + } + headers = {} + if provider_hint: + headers["x-arch-llm-provider-hint"] = provider_hint + response = requests.post( + LLM_GATEWAY_ENDPOINT, json=body, stream=stream, headers=headers + ) + assert response.status_code == 200 + if stream: + chunks = get_data_chunks(response) + assert len(chunks) > 0 + response_json = json.loads(chunks[0]) + assert response_json.get("model") == expected_llm + else: + response_json = response.json() + assert response_json.get("model") == expected_llm diff --git a/e2e_tests/test_prompt_gateway.py b/e2e_tests/test_prompt_gateway.py new file mode 100644 index 00000000..1eae6832 --- /dev/null +++ b/e2e_tests/test_prompt_gateway.py @@ -0,0 +1,114 @@ +import json +import pytest +import requests + +from common import PROMPT_GATEWAY_ENDPOINT, get_data_chunks + + +@pytest.mark.parametrize("stream", [True, False]) +def test_prompt_gateway(stream): + body = { + "messages": [ + { + "role": "user", + "content": "how is the weather in seattle for next 10 days", + } + ], + "stream": stream, + } + response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream) + assert response.status_code == 200 + if stream: + chunks = get_data_chunks(response) + assert len(chunks) > 0 + response_json = json.loads(chunks[0]) + # if its streaming we return tool call and api call in first two chunks + assert response_json.get("model").startswith("Arch") + else: + response_json = response.json() + assert response_json.get("model").startswith("gpt-4o-mini") + + +@pytest.mark.parametrize("stream", [True, False]) +def test_prompt_gateway_param_gathering(stream): + body = { + "messages": [ + { + "role": "user", + "content": "how is the weather in seattle", + } + ], + "stream": stream, + } + response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream) + assert response.status_code == 200 + if stream: + chunks = get_data_chunks(response) + assert len(chunks) > 0 + response_json = json.loads(chunks[0]) + # if its streaming we return tool call and api call in first two chunks + assert response_json.get("model").startswith("Arch") + else: + response_json = response.json() + assert response_json.get("model").startswith("Arch") + choices = response_json.get("choices", []) + assert len(choices) > 0 + message = choices[0]["message"]["content"] + assert "Could you provide the following details days" in message + + +@pytest.mark.parametrize("stream", [True, False]) +def test_prompt_gateway_param_tool_call(stream): + expected_tool_call = { + "name": "weather_forecast", + "arguments": {"city": "seattle", "days": 2}, + } + body = { + "messages": [ + { + "role": "user", + "content": "how is the weather in seattle", + }, + { + "role": "assistant", + "content": "Could you provide the following details days ?", + "model": "Arch-Function-1.5B", + }, + { + "role": "user", + "content": "2 days", + }, + ], + "stream": stream, + } + response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream) + assert response.status_code == 200 + if stream: + chunks = get_data_chunks(response, n=3) + assert len(chunks) > 0 + + # first chunk is tool calls + response_json = json.loads(chunks[0].lower()) + assert response_json.get("model").startswith("arch") + choices = response_json.get("choices", []) + assert len(choices) > 0 + tool_calls = choices[0].get("delta", {}).get("tool_calls", []) + assert len(tool_calls) > 0 + tool_call = tool_calls[0]["function"] + assert tool_call == expected_tool_call + + # second chunk is api call result + response_json = json.loads(chunks[1]) + choices = response_json.get("choices", []) + assert len(choices) > 0 + role = choices[0]["delta"]["role"] + assert role == "tool" + + # third..end chunk is summarization + response_json = json.loads(chunks[2]) + # if its streaming we return tool call and api call in first two chunks + assert response_json.get("model").startswith("gpt-4o-mini") + + else: + response_json = response.json() + assert response_json.get("model").startswith("gpt-4o-mini")