diff --git a/README.md b/README.md index 3508b7d0..b51f9548 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,15 @@ ![alt text](image.png) +Arch - Build fast, hyper-personalized agents with intelligent infra | Product Hunt + [![pre-commit](https://github.com/katanemo/arch/actions/workflows/pre-commit.yml/badge.svg)](https://github.com/katanemo/arch/actions/workflows/pre-commit.yml) [![rust tests (prompt and llm gateway)](https://github.com/katanemo/arch/actions/workflows/rust_tests.yml/badge.svg)](https://github.com/katanemo/arch/actions/workflows/rust_tests.yml) [![e2e tests](https://github.com/katanemo/arch/actions/workflows/e2e_tests.yml/badge.svg)](https://github.com/katanemo/arch/actions/workflows/e2e_tests.yml) [![Build and Deploy Documentation](https://github.com/katanemo/arch/actions/workflows/static.yml/badge.svg)](https://github.com/katanemo/arch/actions/workflows/static.yml) -## Build fast, robust, and personalized AI agents. +## Build fast, observable, and personalized AI agents. -Arch is an intelligent [Layer 7](https://www.cloudflare.com/learning/ddos/what-is-layer-7/) gateway designed to protect, observe, and personalize LLM applications (agents, assistants, co-pilots) with your APIs. +Arch is an intelligent [Layer 7](https://www.cloudflare.com/learning/ddos/what-is-layer-7/) gateway designed to protect, observe, and personalize AI agents (assistants, co-pilots) with your APIs. Engineered with purpose-built LLMs, Arch handles the critical but undifferentiated tasks related to the handling and processing of prompts, including detecting and rejecting [jailbreak](https://github.com/verazuo/jailbreak_llms) attempts, intelligently calling "backend" APIs to fulfill the user's request represented in a prompt, routing to and offering disaster recovery between upstream LLMs, and managing the observability of prompts and LLM interactions in a centralized way. @@ -53,9 +55,7 @@ Make sure you have following utilities installed before proceeding further, 1. [Docker System](https://docs.docker.com/get-started/get-docker/) (v24) 2. [Docker compose](https://docs.docker.com/compose/install/) (v2.29) 3. [Python](https://www.python.org/downloads/) (v3.10) -4. [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) (v1.8.3) - -*Note: Poetry is needed for local development* +4. [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) (v1.8.3. *Note: only needed for local development*) ```console @@ -156,6 +156,8 @@ print("OpenAI Response:", response.choices[0].message.content) ### [Observability](https://docs.archgw.com/guides/observability/observability.html) Arch is designed to support best-in class observability by supporting open standards. Please read our [docs](https://docs.archgw.com/guides/observability/observability.html) on observability for more details on tracing, metrics, and logs +![alt text](docs/source/_static/img/tracing.png) + ### Contribution We would love feedback on our [Roadmap](https://github.com/orgs/katanemo/projects/1) and we welcome contributions to **Arch**! Whether you're fixing bugs, adding new features, improving documentation, or creating tutorials, your help is much appreciated. diff --git a/arch/Dockerfile b/arch/Dockerfile index 74cfd40a..0d96713c 100644 --- a/arch/Dockerfile +++ b/arch/Dockerfile @@ -13,16 +13,21 @@ FROM envoyproxy/envoy:v1.32-latest as envoy #Build config generator, so that we have a single build image for both Rust and Python FROM python:3.12-slim as arch -RUN apt-get update && apt-get install -y gettext-base curl && apt-get clean && rm -rf /var/lib/apt/lists/* +RUN apt-get update && apt-get install -y gettext-base curl supervisor && apt-get clean && rm -rf /var/lib/apt/lists/* COPY --from=builder /arch/target/wasm32-wasip1/release/prompt_gateway.wasm /etc/envoy/proxy-wasm-plugins/prompt_gateway.wasm COPY --from=builder /arch/target/wasm32-wasip1/release/llm_gateway.wasm /etc/envoy/proxy-wasm-plugins/llm_gateway.wasm COPY --from=envoy /usr/local/bin/envoy /usr/local/bin/envoy -WORKDIR /config +WORKDIR /app COPY arch/requirements.txt . RUN pip install -r requirements.txt COPY arch/tools/cli/config_generator.py . COPY arch/envoy.template.yaml . COPY arch/arch_config_schema.yaml . +COPY arch/supervisord.conf /etc/supervisor/conf.d/supervisord.conf +COPY arch/stream_traces.py . -ENTRYPOINT ["sh", "-c", "python config_generator.py && envsubst < /etc/envoy/envoy.yaml > /etc/envoy.env_sub.yaml && envoy -c /etc/envoy.env_sub.yaml --component-log-level wasm:debug 2>&1 | tee /var/log/envoy.log"] +RUN pip install requests +RUN touch /var/log/envoy.log + +ENTRYPOINT ["supervisord", "-c", "/etc/supervisor/conf.d/supervisord.conf"] diff --git a/arch/docker-compose.dev.yaml b/arch/docker-compose.dev.yaml index 134f3853..378e0eca 100644 --- a/arch/docker-compose.dev.yaml +++ b/arch/docker-compose.dev.yaml @@ -8,11 +8,11 @@ services: - "12000:12000" - "19901:9901" volumes: - - ${ARCH_CONFIG_FILE:-../demos/weather_forecast/arch_config.yaml}:/config/arch_config.yaml + - ${ARCH_CONFIG_FILE:-../demos/weather_forecast/arch_config.yaml}:/app/arch_config.yaml - /etc/ssl/cert.pem:/etc/ssl/cert.pem - - ./envoy.template.yaml:/config/envoy.template.yaml - - ./arch_config_schema.yaml:/config/arch_config_schema.yaml - - ./tools/cli/config_generator.py:/config/config_generator.py + - ./envoy.template.yaml:/app/envoy.template.yaml + - ./arch_config_schema.yaml:/app/arch_config_schema.yaml + - ./tools/cli/config_generator.py:/app/config_generator.py - ../crates/target/wasm32-wasip1/release/llm_gateway.wasm:/etc/envoy/proxy-wasm-plugins/llm_gateway.wasm - ../crates/target/wasm32-wasip1/release/prompt_gateway.wasm:/etc/envoy/proxy-wasm-plugins/prompt_gateway.wasm - ~/archgw_logs:/var/log/ @@ -21,3 +21,4 @@ services: environment: - OPENAI_API_KEY=${OPENAI_API_KEY:?error} - MISTRAL_API_KEY=${MISTRAL_API_KEY:?error} + - OTEL_TRACING_HTTP_ENDPOINT=http://host.docker.internal:4318/v1/traces diff --git a/arch/docker-compose.e2e.yaml b/arch/docker-compose.e2e.yaml index 42195962..208dc1e7 100644 --- a/arch/docker-compose.e2e.yaml +++ b/arch/docker-compose.e2e.yaml @@ -16,3 +16,4 @@ services: environment: - OPENAI_API_KEY=${OPENAI_API_KEY:?error} - MISTRAL_API_KEY=${MISTRAL_API_KEY:?error} + - OTEL_TRACING_HTTP_ENDPOINT=http://host.docker.internal:4318/v1/traces diff --git a/arch/docker-compose.yaml b/arch/docker-compose.yaml index 05d2c05f..51874ead 100644 --- a/arch/docker-compose.yaml +++ b/arch/docker-compose.yaml @@ -8,11 +8,13 @@ services: - "12000:12000" - "19901:9901" volumes: - - ${ARCH_CONFIG_FILE:-../demos/weather_forecast/arch_config.yaml}:/config/arch_config.yaml + - ${ARCH_CONFIG_FILE:-../demos/weather_forecast/arch_config.yaml}:/app/arch_config.yaml - /etc/ssl/cert.pem:/etc/ssl/cert.pem - ~/archgw_logs:/var/log/ env_file: - env.list + environment: + - OTEL_TRACING_HTTP_ENDPOINT=http://host.docker.internal:4318/v1/traces extra_hosts: - "host.docker.internal:host-gateway" healthcheck: diff --git a/arch/envoy.template.yaml b/arch/envoy.template.yaml index f08a2b2f..52671f99 100644 --- a/arch/envoy.template.yaml +++ b/arch/envoy.template.yaml @@ -242,11 +242,66 @@ static_resources: typed_config: "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router - - name: arch_listener_llm + + - name: arch_listener_http_llm address: socket_address: address: 0.0.0.0 port_value: 12000 + traffic_direction: INBOUND + filter_chains: + - filters: + - name: envoy.filters.network.http_connection_manager + typed_config: + "@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager + {% if "random_sampling" in arch_tracing and arch_tracing["random_sampling"] > 0 %} + generate_request_id: true + tracing: + provider: + name: envoy.tracers.opentelemetry + typed_config: + "@type": type.googleapis.com/envoy.config.trace.v3.OpenTelemetryConfig + grpc_service: + envoy_grpc: + cluster_name: opentelemetry_collector + timeout: 0.250s + service_name: arch_gateway + random_sampling: + value: {{ arch_tracing.random_sampling }} + {% endif %} + stat_prefix: arch_listener_http + codec_type: AUTO + scheme_header_transformation: + scheme_to_overwrite: https + access_log: + - name: envoy.access_loggers.file + typed_config: + "@type": type.googleapis.com/envoy.extensions.access_loggers.file.v3.FileAccessLog + path: "/var/log/access_llm.log" + route_config: + name: local_routes + virtual_hosts: + - name: local_service + domains: + - "*" + routes: + - match: + prefix: "/" + route: + auto_host_rewrite: true + cluster: arch_listener_llm + timeout: 60s + http_filters: + - name: envoy.filters.http.router + typed_config: + "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router + + + - name: arch_listener_llm + address: + socket_address: + address: 0.0.0.0 + port_value: 12001 filter_chains: - filters: - name: envoy.filters.network.http_connection_manager @@ -479,6 +534,23 @@ static_resources: port_value: 10001 hostname: arch_prompt_gateway_listener + - name: arch_listener_llm + connect_timeout: 5s + type: LOGICAL_DNS + dns_lookup_family: V4_ONLY + lb_policy: ROUND_ROBIN + load_assignment: + cluster_name: arch_listener_llm + endpoints: + - lb_endpoints: + - endpoint: + address: + socket_address: + address: 0.0.0.0 + port_value: 12001 + hostname: arch_listener_llm + + {% if "random_sampling" in arch_tracing and arch_tracing["random_sampling"] > 0 %} - name: opentelemetry_collector type: STRICT_DNS diff --git a/demos/shared/trace_streamer/stream_traces.py b/arch/stream_traces.py similarity index 74% rename from demos/shared/trace_streamer/stream_traces.py rename to arch/stream_traces.py index 4f1bf20c..1a165a8a 100644 --- a/demos/shared/trace_streamer/stream_traces.py +++ b/arch/stream_traces.py @@ -1,4 +1,5 @@ import os +import sys import time import requests import logging @@ -29,14 +30,8 @@ def process_log_line(line): logging.error(f"Failed to send trace to otel-tracing: {e}") -with open(envoy_log_path, "r") as f: - # Seek to the end of the file so we only read new lines - f.seek(0, os.SEEK_END) - while True: - line = f.readline() - if not line: - time.sleep(1) - continue - tokens = line.split("prompt_gateway: upstream_llm trace details: ") +for line in sys.stdin: + if line: + tokens = line.split("gateway: upstream_llm trace details: ") if len(tokens) > 1: process_log_line(tokens[1]) diff --git a/arch/supervisord.conf b/arch/supervisord.conf new file mode 100644 index 00000000..da659e65 --- /dev/null +++ b/arch/supervisord.conf @@ -0,0 +1,25 @@ +[supervisord] +nodaemon=true + +[program:trace_streamer] +command=sh -c "tail -F /var/log/envoy.log | python stream_traces.py" +autostart=true +autorestart=false +startretries=3 +priority=1 +stdout_logfile=/dev/stdout +stderr_logfile=/dev/stderr +stdout_logfile_maxbytes = 0 +stderr_logfile_maxbytes = 0 + + +[program:envoy] +command=sh -c "python config_generator.py && envsubst < /etc/envoy/envoy.yaml > /etc/envoy.env_sub.yaml && envoy -c /etc/envoy.env_sub.yaml --component-log-level wasm:debug 2>&1 | tee /var/log/envoy.log" +autostart=true +autorestart=true +startretries=3 +priority=2 +stdout_logfile=/dev/stdout +stderr_logfile=/dev/stderr +stdout_logfile_maxbytes = 0 +stderr_logfile_maxbytes = 0 diff --git a/arch/tools/cli/config_generator.py b/arch/tools/cli/config_generator.py index 90c1406f..b8c35562 100644 --- a/arch/tools/cli/config_generator.py +++ b/arch/tools/cli/config_generator.py @@ -6,7 +6,7 @@ from jsonschema import validate ENVOY_CONFIG_TEMPLATE_FILE = os.getenv( "ENVOY_CONFIG_TEMPLATE_FILE", "envoy.template.yaml" ) -ARCH_CONFIG_FILE = os.getenv("ARCH_CONFIG_FILE", "/config/arch_config.yaml") +ARCH_CONFIG_FILE = os.getenv("ARCH_CONFIG_FILE", "/app/arch_config.yaml") ENVOY_CONFIG_FILE_RENDERED = os.getenv( "ENVOY_CONFIG_FILE_RENDERED", "/etc/envoy/envoy.yaml" ) diff --git a/arch/tools/poetry.lock b/arch/tools/poetry.lock index 5c502b3b..0de20d98 100644 --- a/arch/tools/poetry.lock +++ b/arch/tools/poetry.lock @@ -1,182 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. - 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"2068d33550cff558968e7ba265170b4532501235eaa42b3d631a1d25e65bc115" diff --git a/arch/tools/pyproject.toml b/arch/tools/pyproject.toml index 7756c47d..bf0f396f 100644 --- a/arch/tools/pyproject.toml +++ b/arch/tools/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw" -version = "0.1.2" +version = "0.1.3" description = "Python-based CLI tool to manage Arch Gateway." authors = ["Katanemo Labs, Inc."] packages = [ @@ -16,13 +16,13 @@ include = [ [tool.poetry.dependencies] python = ">=3.12" +archgw_modelserver = "0.1.3" pyyaml = "^6.0.2" pydantic = "^2.9.2" click = "^8.1.7" jinja2 = "^3.1.4" jsonschema = "^4.23.0" -setuptools = "75.4.0" -archgw_modelserver = "0.1.2" +setuptools = "75.5.0" huggingface_hub = "^0.26.0" [tool.poetry.scripts] diff --git a/archgw.code-workspace b/archgw.code-workspace index 3e36fff2..07b23996 100644 --- a/archgw.code-workspace +++ b/archgw.code-workspace @@ -21,22 +21,25 @@ "path": "e2e_tests" }, { - "name": "demos/weather_forecast", - "path": "./demos/weather_forecast", - }, - { - "name": "demos/insurance_agent", - "path": "./demos/insurance_agent", - }, + "name": "chatbot_ui", + "path": "demos/shared/chatbot_ui" + } ], "settings": { + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter", + "editor.formatOnSave": true + }, }, "extensions": { "recommendations": [ "ms-python.python", "ms-python.debugpy", "rust-lang.rust-analyzer", - "humao.rest-client" + "humao.rest-client", + "github.copilot", + "eamodio.gitlens", + "ms-python.black-formatter", ] } } diff --git a/crates/llm_gateway/src/filter_context.rs b/crates/llm_gateway/src/filter_context.rs index 2a4d47a9..9a34fe98 100644 --- a/crates/llm_gateway/src/filter_context.rs +++ b/crates/llm_gateway/src/filter_context.rs @@ -18,6 +18,8 @@ pub struct WasmMetrics { pub active_http_calls: Gauge, pub ratelimited_rq: Counter, pub time_to_first_token: Histogram, + pub time_per_output_token: Histogram, + pub tokens_per_second: Histogram, pub request_latency: Histogram, pub output_sequence_length: Histogram, pub input_sequence_length: Histogram, @@ -29,6 +31,8 @@ impl WasmMetrics { active_http_calls: Gauge::new(String::from("active_http_calls")), ratelimited_rq: Counter::new(String::from("ratelimited_rq")), time_to_first_token: Histogram::new(String::from("time_to_first_token")), + time_per_output_token: Histogram::new(String::from("time_per_output_token")), + tokens_per_second: Histogram::new(String::from("tokens_per_second")), request_latency: Histogram::new(String::from("request_latency")), output_sequence_length: Histogram::new(String::from("output_sequence_length")), input_sequence_length: Histogram::new(String::from("input_sequence_length")), diff --git a/crates/llm_gateway/src/stream_context.rs b/crates/llm_gateway/src/stream_context.rs index 3b556a44..c7e42c82 100644 --- a/crates/llm_gateway/src/stream_context.rs +++ b/crates/llm_gateway/src/stream_context.rs @@ -1,17 +1,18 @@ use crate::filter_context::WasmMetrics; use common::common_types::open_ai::{ ChatCompletionStreamResponseServerEvents, ChatCompletionsRequest, ChatCompletionsResponse, - StreamOptions, + Message, StreamOptions, }; use common::configuration::LlmProvider; use common::consts::{ ARCH_PROVIDER_HINT_HEADER, ARCH_ROUTING_HEADER, CHAT_COMPLETIONS_PATH, - RATELIMIT_SELECTOR_HEADER_KEY, REQUEST_ID_HEADER, + RATELIMIT_SELECTOR_HEADER_KEY, REQUEST_ID_HEADER, TRACE_PARENT_HEADER, }; use common::errors::ServerError; use common::llm_providers::LlmProviders; use common::pii::obfuscate_auth_header; use common::ratelimit::Header; +use common::tracing::{Event, Span}; use common::{ratelimit, routing, tokenizer}; use http::StatusCode; use log::{debug, trace, warn}; @@ -23,7 +24,7 @@ use std::rc::Rc; use common::stats::{IncrementingMetric, RecordingMetric}; use proxy_wasm::hostcalls::get_current_time; -use std::time::{Duration, SystemTime}; +use std::time::{Duration, SystemTime, UNIX_EPOCH}; pub struct StreamContext { context_id: u32, @@ -36,7 +37,11 @@ pub struct StreamContext { llm_provider: Option>, request_id: Option, start_time: Option, - ttft_duration: Option, // Store the duration directly + ttft_duration: Option, + ttft_time: Option, + pub traceparent: Option, + request_body_sent_time: Option, + user_message: Option, } impl StreamContext { @@ -53,6 +58,10 @@ impl StreamContext { request_id: None, start_time: None, ttft_duration: None, + traceparent: None, + ttft_time: None, + user_message: None, + request_body_sent_time: None, } } fn llm_provider(&self) -> &LlmProvider { @@ -176,9 +185,10 @@ impl HttpContext for StreamContext { ); self.request_id = self.get_http_request_header(REQUEST_ID_HEADER); + self.traceparent = self.get_http_request_header(TRACE_PARENT_HEADER); //start the timing for the request using get_current_time() - let current_time = get_current_time().unwrap(); + let current_time: SystemTime = get_current_time().unwrap(); self.start_time = Some(current_time); self.ttft_duration = None; @@ -188,6 +198,11 @@ impl HttpContext for StreamContext { fn on_http_request_body(&mut self, body_size: usize, end_of_stream: bool) -> Action { // Let the client send the gateway all the data before sending to the LLM_provider. // TODO: consider a streaming API. + + if self.request_body_sent_time.is_none() { + self.request_body_sent_time = Some(get_current_time().unwrap()); + } + if !end_of_stream { return Action::Pause; } @@ -229,6 +244,13 @@ impl HttpContext for StreamContext { message.model = None; } + self.user_message = deserialized_body + .messages + .iter() + .filter(|m| m.role == "user") + .last() + .cloned(); + // override model name from the llm provider deserialized_body .model @@ -296,6 +318,17 @@ impl HttpContext for StreamContext { debug!("Total latency: {} milliseconds", duration_ms); // Record the latency to the latency histogram self.metrics.request_latency.record(duration_ms as u64); + + // Compute the time per output token + let tpot = duration_ms as u64 / self.response_tokens as u64; + + debug!("Time per output token: {} milliseconds", tpot); + // Record the time per output token + self.metrics.time_per_output_token.record(tpot); + + debug!("Tokens per second: {}", 1000 / tpot); + // Record the tokens per second + self.metrics.tokens_per_second.record(1000 / tpot); } Err(e) => { warn!("SystemTime error: {:?}", e); @@ -307,6 +340,52 @@ impl HttpContext for StreamContext { .output_sequence_length .record(self.response_tokens as u64); + if let Some(traceparent) = self.traceparent.as_ref() { + let since_the_epoch_ns = SystemTime::now() + .duration_since(UNIX_EPOCH) + .unwrap() + .as_nanos(); + + let traceparent_tokens = traceparent.split("-").collect::>(); + if traceparent_tokens.len() != 4 { + warn!("traceparent header is invalid: {}", traceparent); + return Action::Continue; + } + let parent_trace_id = traceparent_tokens[1]; + let parent_span_id = traceparent_tokens[2]; + let mut trace_data = common::tracing::TraceData::new(); + let mut llm_span = Span::new( + "upstream_llm_time".to_string(), + parent_trace_id.to_string(), + Some(parent_span_id.to_string()), + self.request_body_sent_time + .unwrap() + .duration_since(UNIX_EPOCH) + .unwrap() + .as_nanos(), + since_the_epoch_ns, + ); + if let Some(user_message) = self.user_message.as_ref() { + if let Some(prompt) = user_message.content.as_ref() { + llm_span.add_attribute("user_prompt".to_string(), prompt.to_string()); + } + } + llm_span.add_attribute("model".to_string(), self.llm_provider().name.to_string()); + llm_span.add_event(Event::new( + "time_to_first_token".to_string(), + self.ttft_time + .unwrap() + .duration_since(UNIX_EPOCH) + .unwrap() + .as_nanos(), + )); + trace_data.add_span(llm_span); + + let trace_data_str = serde_json::to_string(&trace_data).unwrap(); + debug!("upstream_llm trace details: {}", trace_data_str); + // send trace_data to http tracing endpoint + } + return Action::Continue; } @@ -402,6 +481,7 @@ impl HttpContext for StreamContext { if self.ttft_duration.is_none() { if let Some(start_time) = self.start_time { let current_time = get_current_time().unwrap(); + self.ttft_time = Some(current_time); match current_time.duration_since(start_time) { Ok(duration) => { let duration_ms = duration.as_millis(); diff --git a/crates/llm_gateway/tests/integration.rs b/crates/llm_gateway/tests/integration.rs index ea65bfa0..c39debd6 100644 --- a/crates/llm_gateway/tests/integration.rs +++ b/crates/llm_gateway/tests/integration.rs @@ -51,6 +51,8 @@ fn request_headers_expectations(module: &mut Tester, http_context: i32) { .expect_log(Some(LogLevel::Debug), None) .expect_get_header_map_value(Some(MapType::HttpRequestHeaders), Some("x-request-id")) .returning(None) + .expect_get_header_map_value(Some(MapType::HttpRequestHeaders), Some("traceparent")) + .returning(None) .expect_get_current_time_nanos() .returning(Some(0)) .execute_and_expect(ReturnType::Action(Action::Continue)) @@ -75,6 +77,8 @@ fn setup_filter(module: &mut Tester, config: &str) -> i32 { .expect_metric_creation(MetricType::Gauge, "active_http_calls") .expect_metric_creation(MetricType::Counter, "ratelimited_rq") .expect_metric_creation(MetricType::Histogram, "time_to_first_token") + .expect_metric_creation(MetricType::Histogram, "time_per_output_token") + .expect_metric_creation(MetricType::Histogram, "tokens_per_second") .expect_metric_creation(MetricType::Histogram, "request_latency") .expect_metric_creation(MetricType::Histogram, "output_sequence_length") .expect_metric_creation(MetricType::Histogram, "input_sequence_length") @@ -213,6 +217,8 @@ fn llm_gateway_successful_request_to_open_ai_chat_completions() { ) .expect_get_buffer_bytes(Some(BufferType::HttpRequestBody)) .returning(Some(chat_completions_request_body)) + .expect_get_current_time_nanos() + .returning(Some(0)) .expect_log(Some(LogLevel::Trace), None) .expect_log(Some(LogLevel::Debug), None) .expect_metric_record("input_sequence_length", 21) @@ -275,6 +281,8 @@ fn llm_gateway_bad_request_to_open_ai_chat_completions() { ) .expect_get_buffer_bytes(Some(BufferType::HttpRequestBody)) .returning(Some(incomplete_chat_completions_request_body)) + .expect_get_current_time_nanos() + .returning(Some(0)) .expect_log(Some(LogLevel::Debug), None) .expect_send_local_response( Some(StatusCode::BAD_REQUEST.as_u16().into()), @@ -333,6 +341,8 @@ fn llm_gateway_request_ratelimited() { ) .expect_get_buffer_bytes(Some(BufferType::HttpRequestBody)) .returning(Some(chat_completions_request_body)) + .expect_get_current_time_nanos() + .returning(Some(0)) // The actual call is not important in this test, we just need to grab the token_id .expect_log(Some(LogLevel::Trace), None) .expect_log(Some(LogLevel::Debug), None) @@ -399,6 +409,8 @@ fn llm_gateway_request_not_ratelimited() { ) .expect_get_buffer_bytes(Some(BufferType::HttpRequestBody)) .returning(Some(chat_completions_request_body)) + .expect_get_current_time_nanos() + .returning(Some(0)) // The actual call is not important in this test, we just need to grab the token_id .expect_log(Some(LogLevel::Trace), None) .expect_log(Some(LogLevel::Debug), None) diff --git a/crates/prompt_gateway/src/http_context.rs b/crates/prompt_gateway/src/http_context.rs index 3174a597..aef5b491 100644 --- a/crates/prompt_gateway/src/http_context.rs +++ b/crates/prompt_gateway/src/http_context.rs @@ -18,7 +18,6 @@ use common::{ errors::ServerError, http::{CallArgs, Client}, pii::obfuscate_auth_header, - tracing::{Event, Span}, }; use http::StatusCode; use log::{debug, trace, warn}; @@ -265,42 +264,6 @@ impl HttpContext for StreamContext { } if end_of_stream && body_size == 0 { - if let Some(traceparent) = self.traceparent.as_ref() { - let since_the_epoch_ns = SystemTime::now() - .duration_since(UNIX_EPOCH) - .unwrap() - .as_nanos(); - - let traceparent_tokens = traceparent.split("-").collect::>(); - if traceparent_tokens.len() != 4 { - warn!("traceparent header is invalid: {}", traceparent); - return Action::Continue; - } - let parent_trace_id = traceparent_tokens[1]; - let parent_span_id = traceparent_tokens[2]; - let mut trace_data = common::tracing::TraceData::new(); - let mut llm_span = Span::new( - "upstream_llm_time".to_string(), - parent_trace_id.to_string(), - Some(parent_span_id.to_string()), - self.start_upstream_llm_request_time, - since_the_epoch_ns, - ); - if let Some(prompt) = self.user_prompt.as_ref() { - if let Some(content) = prompt.content.as_ref() { - llm_span.add_attribute("user_prompt".to_string(), content.to_string()); - } - } - llm_span.add_event(Event::new( - "time_to_first_token".to_string(), - self.time_to_first_token.unwrap(), - )); - trace_data.add_span(llm_span); - - let trace_data_str = serde_json::to_string(&trace_data).unwrap(); - debug!("upstream_llm trace details: {}", trace_data_str); - // send trace_data to http tracing endpoint - } return Action::Continue; } diff --git a/demos/llm_routing/README.md b/demos/llm_routing/README.md new file mode 100644 index 00000000..f5a49971 --- /dev/null +++ b/demos/llm_routing/README.md @@ -0,0 +1,19 @@ +# LLM Routing +This demo shows how you can arch gateway to manage keys and route to appropricate LLM. + +# Starting the demo +1. Please make sure the [pre-requisites](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites) are installed correctly +1. Start Arch + ```sh + sh run_demo.sh + ``` +1. Navigate to http://localhost:18080/ + +# Observability +Arch gateway publishes stats endpoint at http://localhost:19901/stats. In this demo we are using prometheus to pull stats from arch and we are using grafana to visalize the stats in dashboard. To see grafana dashboard follow instructions below, + +1. Navigate to http://localhost:3000/ to open grafana UI (use admin/grafana as credentials) +1. From grafana left nav click on dashboards and select "Intelligent Gateway Overview" to view arch gateway stats + +# Selecting different LLM +You can pick different LLM based on header `x-arch-llm-provider-hint` to override default LLM. diff --git a/demos/llm_routing/docker-compose.yaml b/demos/llm_routing/docker-compose.yaml index 1ce6963b..ac59499c 100644 --- a/demos/llm_routing/docker-compose.yaml +++ b/demos/llm_routing/docker-compose.yaml @@ -2,7 +2,7 @@ services: chatbot_ui: build: - context: ../../chatbot_ui + context: ../shared/chatbot_ui dockerfile: Dockerfile ports: - "18080:8080" @@ -12,3 +12,21 @@ services: - "host.docker.internal:host-gateway" volumes: - ./arch_config.yaml:/app/arch_config.yaml + + jaeger: + build: + context: ../shared/jaeger + ports: + - "16686:16686" + - "4317:4317" + - "4318:4318" + + prometheus: + build: + context: ../shared/prometheus + + grafana: + build: + context: ../shared/grafana + ports: + - "3000:3000" diff --git a/demos/shared/chatbot_ui/.vscode/launch.json b/demos/shared/chatbot_ui/.vscode/launch.json index cc443eee..e7f91d36 100644 --- a/demos/shared/chatbot_ui/.vscode/launch.json +++ b/demos/shared/chatbot_ui/.vscode/launch.json @@ -15,19 +15,21 @@ "LLM": "1", "CHAT_COMPLETION_ENDPOINT": "http://localhost:10000/v1", "STREAMING": "True", - "ARCH_CONFIG": "../demos/weather_forecast/arch_config.yaml" + "ARCH_CONFIG": "../../weather_forecast/arch_config.yaml" } }, { + "python": "${workspaceFolder}/venv/bin/python", "name": "chatbot-ui llm", - "cwd": "${workspaceFolder}/app", "type": "debugpy", "request": "launch", - "program": "run.py", + "program": "run_stream.py", "console": "integratedTerminal", "env": { "LLM": "1", - "CHAT_COMPLETION_ENDPOINT": "http://localhost:12000/v1" + "CHAT_COMPLETION_ENDPOINT": "http://localhost:12000/v1", + "STREAMING": "True", + "ARCH_CONFIG": "../../llm_routing/arch_config.yaml" } }, ] diff --git a/demos/shared/chatbot_ui/common.py b/demos/shared/chatbot_ui/common.py index 27838397..cfcc6556 100644 --- a/demos/shared/chatbot_ui/common.py +++ b/demos/shared/chatbot_ui/common.py @@ -1,3 +1,4 @@ +from datetime import datetime import json import logging import os @@ -159,13 +160,44 @@ def get_prompt_targets(): config = yaml.safe_load(file) available_tools = [] - for target in config["prompt_targets"]: - if not target.get("default", False): - available_tools.append( - convert_prompt_target_to_openai_format(target) - ) + if "prompt_targets" in config: + for target in config["prompt_targets"]: + if not target.get("default", False): + available_tools.append( + convert_prompt_target_to_openai_format(target) + ) + + return {tool["name"]: tool["info"] for tool in available_tools} + elif "llm_providers" in config: + return config["llm_providers"] - return {tool["name"]: tool["info"] for tool in available_tools} except Exception as e: log.info(e) return None + + +def get_llm_models(): + try: + with open(os.getenv("ARCH_CONFIG", "arch_config.yaml"), "r") as file: + config = yaml.safe_load(file) + + available_models = [""] + default_llm = None + for llm_providers in config["llm_providers"]: + if llm_providers.get("default", False): + default_llm = llm_providers["name"] + else: + available_models.append(llm_providers["name"]) + + # place default model at the beginning of the list + if default_llm: + available_models.insert(0, default_llm) + return available_models + except Exception as e: + log.info(e) + return [] + + +def format_log(message): + time_now = datetime.now().strftime("%Y-%m-%d %H:%M:%S,%f")[:-3] + return f"{time_now} - {message}" diff --git a/demos/shared/chatbot_ui/run_stream.py b/demos/shared/chatbot_ui/run_stream.py index bd4eab56..407d4c05 100644 --- a/demos/shared/chatbot_ui/run_stream.py +++ b/demos/shared/chatbot_ui/run_stream.py @@ -8,7 +8,7 @@ from typing import List, Optional, Tuple from openai import OpenAI from dotenv import load_dotenv -from common import get_prompt_targets, process_stream_chunk +from common import format_log, get_llm_models, get_prompt_targets, process_stream_chunk load_dotenv() @@ -36,20 +36,28 @@ CSS_STYLE = """ footer {visibility: hidden} """ -client = OpenAI( - api_key="--", - base_url=CHAT_COMPLETION_ENDPOINT, -) - def chat( query: Optional[str], conversation: Optional[List[Tuple[str, str]]], history: List[dict], + debug_output: str, + model_selector: str, ): history.append({"role": "user", "content": query}) + if debug_output is None: + debug_output = "" + try: + headers = {} + if model_selector and model_selector != "": + headers["x-arch-llm-provider-hint"] = model_selector + client = OpenAI( + api_key="--", + base_url=CHAT_COMPLETION_ENDPOINT, + default_headers=headers, + ) response = client.chat.completions.create( # we select model from arch_config file model="--", @@ -65,15 +73,20 @@ def chat( conversation.append((query, "")) + model_is_set = False for chunk in response: tokens = process_stream_chunk(chunk, history) + if tokens and not model_is_set: + model_is_set = True + model = history[-1]["model"] + debug_output = debug_output + "\n" + format_log(f"model: {model}") if tokens: conversation[-1] = ( conversation[-1][0], conversation[-1][1] + tokens, ) - yield "", conversation, history + yield "", conversation, history, debug_output, model_selector def main(): @@ -94,8 +107,17 @@ def main(): value=get_prompt_targets(), show_indices=False, elem_classes="json-container", - min_height="95vh", + min_height="50vh", ) + model_selector_textbox = gr.Dropdown( + get_llm_models(), + label="override model", + elem_classes="dropdown", + ) + debug_output = gr.TextArea( + label="debug output", + elem_classes="debug_output", + ) with gr.Column(scale=2): chatbot = gr.Chatbot( @@ -110,7 +132,9 @@ def main(): ) textbox.submit( - chat, [textbox, chatbot, history], [textbox, chatbot, history] + chat, + [textbox, chatbot, history, debug_output, model_selector_textbox], + [textbox, chatbot, history, debug_output, model_selector_textbox], ) demo.launch(server_name="0.0.0.0", server_port=8080, show_error=True, debug=True) diff --git a/demos/shared/grafana/dashboards/envoy_overview.json b/demos/shared/grafana/dashboards/envoy_overview.json index 5a77e075..e710e748 100644 --- a/demos/shared/grafana/dashboards/envoy_overview.json +++ b/demos/shared/grafana/dashboards/envoy_overview.json @@ -63,9 +63,7 @@ "orientation": "auto", "percentChangeColorMode": "standard", "reduceOptions": { - "calcs": [ - "lastNotNull" - ], + "calcs": ["lastNotNull"], "fields": "", "values": false }, @@ -73,7 +71,7 @@ "textMode": "auto", "wideLayout": true }, - "pluginVersion": "11.3.0+security-01", + "pluginVersion": "11.3.0", "targets": [ { "datasource": { @@ -93,7 +91,7 @@ "useBackend": false } ], - "title": "# of Completd Requests", + "title": "# of Completed Requests", "type": "stat" }, { @@ -188,12 +186,12 @@ "sort": "none" } }, - "pluginVersion": "11.3.0+security-01", + "pluginVersion": "11.3.0", "targets": [ { "disableTextWrap": false, - "editorMode": "builder", - "expr": "histogram_quantile(0.5, sum by(le) (rate(input_sequence_length_bucket[1h])))", + "editorMode": "code", + "expr": "histogram_quantile(0.9, sum by(le) (rate(input_sequence_length_bucket[5m])))", "fullMetaSearch": false, "includeNullMetadata": false, "legendFormat": "__auto", @@ -202,7 +200,7 @@ "useBackend": false } ], - "title": "input sequence length (p50)", + "title": "input sequence length (p90)", "type": "timeseries" }, { @@ -298,7 +296,7 @@ "sort": "none" } }, - "pluginVersion": "11.3.0+security-01", + "pluginVersion": "11.3.0", "targets": [ { "datasource": { @@ -307,7 +305,7 @@ }, "disableTextWrap": false, "editorMode": "code", - "expr": "histogram_quantile(0.5, sum(rate(output_sequence_length_bucket[1h])) by(le))", + "expr": "histogram_quantile(0.9, sum(rate(output_sequence_length_bucket[5m])) by(le))", "fullMetaSearch": false, "includeNullMetadata": false, "instant": false, @@ -317,7 +315,7 @@ "useBackend": false } ], - "title": "output sequence length (p50)", + "title": "output sequence length (p90)", "type": "timeseries" }, { @@ -412,12 +410,16 @@ "sort": "none" } }, - "pluginVersion": "11.3.0+security-01", + "pluginVersion": "11.3.0", "targets": [ { "disableTextWrap": false, - "editorMode": "builder", + "editorMode": "code", +<<<<<<< HEAD + "expr": "histogram_quantile(0.9, sum by(le) (rate(time_to_first_token_bucket[5m])))", +======= "expr": "histogram_quantile(0.5, sum by(le) (rate(time_to_first_token_bucket[1h])))", +>>>>>>> main "fullMetaSearch": false, "includeNullMetadata": false, "legendFormat": "__auto", @@ -426,7 +428,7 @@ "useBackend": false } ], - "title": "time to first token (p50)", + "title": "time to first token (p90)", "type": "timeseries" }, { @@ -492,12 +494,12 @@ { "matcher": { "id": "byName", - "options": "histogram_quantile(0.5, sum(rate(latency_bucket[60m])) by (le))" + "options": "histogram_quantile(0.5, sum by(le) (rate(request_latency_bucket[1h])))" }, "properties": [ { "id": "displayName", - "value": "Total Request Latency" + "value": "Request Latency" } ] }, @@ -534,36 +536,254 @@ "sort": "none" } }, - "pluginVersion": "11.3.0+security-01", + "pluginVersion": "11.3.0", "targets": [ { "datasource": { "type": "prometheus", "uid": "PBFA97CFB590B2093" }, +<<<<<<< HEAD "editorMode": "code", - "expr": "histogram_quantile(0.5, sum(rate(latency_bucket[60m])) by (le))", + "expr": "histogram_quantile(0.9, sum(rate(request_latency_bucket[60m])) by (le))", +======= + "disableTextWrap": false, + "editorMode": "builder", + "expr": "histogram_quantile(0.5, sum by(le) (rate(request_latency_bucket[1h])))", + "fullMetaSearch": false, +>>>>>>> main "hide": false, + "includeNullMetadata": false, "instant": false, "legendFormat": "__auto", "range": true, +<<<<<<< HEAD "refId": "B" - }, - { - "datasource": { - "type": "prometheus", - "uid": "PBFA97CFB590B2093" - }, - "editorMode": "code", - "expr": "histogram_quantile(0.5, sum(rate(time_to_first_token_bucket[60m])) by (le))", - "hide": false, - "instant": false, - "legendFormat": "__auto", - "range": true, - "refId": "A" +======= + "refId": "A", + "useBackend": false +>>>>>>> main } ], - "title": "request latency (p50)", + "title": "request latency (p90)", + "type": "timeseries" + }, + { + "datasource": { + "type": "prometheus", + "uid": "PBFA97CFB590B2093" + }, + "fieldConfig": { + "defaults": { + "color": { + "mode": "palette-classic" + }, + "custom": { + "axisBorderShow": false, + "axisCenteredZero": false, + "axisColorMode": "text", + "axisLabel": "", + "axisPlacement": "auto", + "barAlignment": 0, + "barWidthFactor": 0.6, + "drawStyle": "line", + "fillOpacity": 0, + "gradientMode": "none", + "hideFrom": { + "legend": false, + "tooltip": false, + "viz": false + }, + "insertNulls": false, + "lineInterpolation": "linear", + "lineWidth": 1, + "pointSize": 5, + "scaleDistribution": { + "type": "linear" + }, + "showPoints": "auto", + "spanNulls": false, + "stacking": { + "group": "A", + "mode": "none" + }, + "thresholdsStyle": { + "mode": "off" + } + }, + "mappings": [], + "thresholds": { + "mode": "absolute", + "steps": [ + { + "color": "green", + "value": null + }, + { + "color": "red", + "value": 80 + } + ] + } + }, + "overrides": [ + { + "matcher": { + "id": "byName", + "options": "histogram_quantile(0.5, sum by(le) (rate(time_per_output_token_bucket[1h])))" + }, + "properties": [ + { + "id": "displayName", + "value": "Time per Output Token" + } + ] + } + ] + }, + "gridPos": { + "h": 13, + "w": 12, + "x": 0, + "y": 23 + }, + "id": 9, + "options": { + "legend": { + "calcs": [], + "displayMode": "list", + "placement": "bottom", + "showLegend": true + }, + "tooltip": { + "mode": "single", + "sort": "none" + } + }, + "pluginVersion": "11.3.0", + "targets": [ + { + "disableTextWrap": false, + "editorMode": "builder", + "expr": "histogram_quantile(0.5, sum by(le) (rate(time_per_output_token_bucket[1h])))", + "fullMetaSearch": false, + "includeNullMetadata": false, + "legendFormat": "__auto", + "range": true, + "refId": "A", + "useBackend": false + } + ], + "title": "Time per Output Token (50p)", + "type": "timeseries" + }, + { + "datasource": { + "type": "prometheus", + "uid": "PBFA97CFB590B2093" + }, + "fieldConfig": { + "defaults": { + "color": { + "mode": "palette-classic" + }, + "custom": { + "axisBorderShow": false, + "axisCenteredZero": false, + "axisColorMode": "text", + "axisLabel": "", + "axisPlacement": "auto", + "barAlignment": 0, + "barWidthFactor": 0.6, + "drawStyle": "line", + "fillOpacity": 0, + "gradientMode": "none", + "hideFrom": { + "legend": false, + "tooltip": false, + "viz": false + }, + "insertNulls": false, + "lineInterpolation": "linear", + "lineWidth": 1, + "pointSize": 5, + "scaleDistribution": { + "type": "linear" + }, + "showPoints": "auto", + "spanNulls": false, + "stacking": { + "group": "A", + "mode": "none" + }, + "thresholdsStyle": { + "mode": "off" + } + }, + "mappings": [], + "thresholds": { + "mode": "absolute", + "steps": [ + { + "color": "green", + "value": null + }, + { + "color": "red", + "value": 80 + } + ] + } + }, + "overrides": [ + { + "matcher": { + "id": "byName", + "options": "histogram_quantile(0.5, sum by(le) (rate(tokens_per_second_bucket[1h])))" + }, + "properties": [ + { + "id": "displayName", + "value": "Tokens per Second" + } + ] + } + ] + }, + "gridPos": { + "h": 13, + "w": 12, + "x": 12, + "y": 23 + }, + "id": 10, + "options": { + "legend": { + "calcs": [], + "displayMode": "list", + "placement": "bottom", + "showLegend": true + }, + "tooltip": { + "mode": "single", + "sort": "none" + } + }, + "pluginVersion": "11.3.0", + "targets": [ + { + "disableTextWrap": false, + "editorMode": "builder", + "expr": "histogram_quantile(0.5, sum by(le) (rate(tokens_per_second_bucket[1h])))", + "fullMetaSearch": false, + "includeNullMetadata": false, + "legendFormat": "__auto", + "range": true, + "refId": "A", + "useBackend": false + } + ], + "title": "Tokens per Second(50p)", "type": "timeseries" } ], diff --git a/demos/shared/trace_streamer/Dockerfile b/demos/shared/trace_streamer/Dockerfile deleted file mode 100644 index 189c650a..00000000 --- a/demos/shared/trace_streamer/Dockerfile +++ /dev/null @@ -1,11 +0,0 @@ -FROM python:3.12-slim as arch - -WORKDIR /app - -RUN pip install requests -COPY stream_traces.py . - -RUN mkdir -p /var/log -RUN touch /var/log/envoy.log - -CMD ["python", "stream_traces.py"] diff --git a/demos/weather_forecast/docker-compose.yaml b/demos/weather_forecast/docker-compose.yaml index 7d074ae4..fdaa7fcd 100644 --- a/demos/weather_forecast/docker-compose.yaml +++ b/demos/weather_forecast/docker-compose.yaml @@ -30,14 +30,6 @@ services: - "4317:4317" - "4318:4318" - trace_streamer: - build: - context: ../shared/trace_streamer - environment: - - OTEL_TRACING_HTTP_ENDPOINT=http://jaeger:4318/v1/traces - volumes: - - ~/archgw_logs:/var/log/ - prometheus: build: context: ../shared/prometheus diff --git a/demos/weather_forecast_signoz/docker-compose.yaml b/demos/weather_forecast_signoz/docker-compose.yaml index 56d7c9da..1c23f464 100644 --- a/demos/weather_forecast_signoz/docker-compose.yaml +++ b/demos/weather_forecast_signoz/docker-compose.yaml @@ -25,14 +25,6 @@ services: volumes: - ./arch_config.yaml:/app/arch_config.yaml - trace_streamer: - build: - context: ../shared/trace_streamer - environment: - - OTEL_TRACING_HTTP_ENDPOINT=http://otel-collector:4318/v1/traces - volumes: - - ~/archgw_logs:/var/log/ - prometheus: build: context: ../shared/prometheus diff --git a/docs/source/_static/img/tracing.png b/docs/source/_static/img/tracing.png new file mode 100644 index 00000000..91d6a82b Binary files /dev/null and b/docs/source/_static/img/tracing.png differ diff --git a/docs/source/concepts/tech_overview/listener.rst b/docs/source/concepts/tech_overview/listener.rst index c79a22b0..632d5315 100644 --- a/docs/source/concepts/tech_overview/listener.rst +++ b/docs/source/concepts/tech_overview/listener.rst @@ -21,8 +21,8 @@ Upstream (Egress) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Arch automatically configures a listener to route requests from your application to upstream LLM API providers (or hosts). When you start Arch, it creates a listener for egress traffic based on the presence of the ``listener`` configuration -section in the configuration file. Arch binds itself to a local address such as ``127.0.0.1:9000/v1`` or a DNS-based -address like ``arch.local:9000/v1`` for outgoing traffic. For more details on LLM providers, read :ref:`here `. +section in the configuration file. Arch binds itself to a local address such as ``127.0.0.1:12000/v1`` or a DNS-based +address like ``arch.local:12000/v1`` for outgoing traffic. For more details on LLM providers, read :ref:`here `. Configure Listener ^^^^^^^^^^^^^^^^^^ diff --git a/docs/source/conf.py b/docs/source/conf.py index 00ca3311..02837294 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ from sphinxawesome_theme.postprocess import Icons project = "Arch Docs" copyright = "2024, Katanemo Labs, Inc" author = "Katanemo Labs, Inc" -release = " v0.1" +release = " v0.1.2" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/docs/source/guides/observability/tracing.rst b/docs/source/guides/observability/tracing.rst index b1027d25..23bf80d2 100644 --- a/docs/source/guides/observability/tracing.rst +++ b/docs/source/guides/observability/tracing.rst @@ -23,6 +23,10 @@ flow, enabling **end-to-end tracing** across the entire application. By using Op that developers can capture this trace data consistently and in a format compatible with various observability tools. +.. image:: /_static/img/tracing.png + :width: 100% + :align: center + Benefits of Using ``Traceparent`` Headers ----------------------------------------- diff --git a/docs/source/index.rst b/docs/source/index.rst index dea9d8d0..39bc2922 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -9,10 +9,12 @@ Welcome to Arch!

-

Build fast, robust, and personalized GenAI apps

+

Build fast, observable, and personalized GenAI apps

-Arch (built by the contributors of `Envoy `_ ) was born out of the belief that: + Arch - Build fast, hyper-personalized agents with intelligent infra | Product Hunt + +`Arch `_ is an intelligent infrastructure primitive for GenAI (built by the contributors of `Envoy `_ ) that born out of the belief that: *Prompts are nuanced and opaque user requests, which require the same capabilities as traditional HTTP requests including secure handling, intelligent routing, robust observability, and integration with backend (API) systems for personalization - all outside business logic.* diff --git a/api_llm_gateway.rest b/e2e_tests/api_llm_gateway.rest similarity index 100% rename from api_llm_gateway.rest rename to e2e_tests/api_llm_gateway.rest diff --git a/api_model_server.rest b/e2e_tests/api_model_server.rest similarity index 100% rename from api_model_server.rest rename to e2e_tests/api_model_server.rest diff --git a/api_prompt_gateway.rest b/e2e_tests/api_prompt_gateway.rest similarity index 100% rename from api_prompt_gateway.rest rename to e2e_tests/api_prompt_gateway.rest diff --git a/e2e_tests/run_e2e_tests.sh b/e2e_tests/run_e2e_tests.sh index 16ef22db..d69d4af5 100644 --- a/e2e_tests/run_e2e_tests.sh +++ b/e2e_tests/run_e2e_tests.sh @@ -29,32 +29,24 @@ cd ../demos/weather_forecast docker compose up weather_forecast_service --build -d cd - -print_disk_usage - log building and install model server log ================================= cd ../model_server poetry install cd - -print_disk_usage - log building and installing archgw cli log ================================== cd ../arch/tools sh build_cli.sh cd - -print_disk_usage - log building docker image for arch gateway log ====================================== cd ../ archgw build cd - -print_disk_usage - log startup arch gateway with function calling demo cd .. tail -F ~/archgw_logs/modelserver.log & @@ -64,8 +56,6 @@ archgw up demos/weather_forecast/arch_config.yaml kill $model_server_tail_pid cd - -print_disk_usage - log running e2e tests log ================= poetry install diff --git a/tracing.rest b/e2e_tests/tracing.rest similarity index 100% rename from tracing.rest rename to e2e_tests/tracing.rest diff --git a/model_server/poetry.lock b/model_server/poetry.lock index de4e1ee4..34974bcc 100644 --- a/model_server/poetry.lock +++ b/model_server/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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"sha256:753eaaa0c7195244c84b5cc159dc8204b7fd99f716f11198f999f2332a86b178"}, ] [package.dependencies] diff --git a/model_server/pyproject.toml b/model_server/pyproject.toml index c8247beb..fad245c0 100644 --- a/model_server/pyproject.toml +++ b/model_server/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw_modelserver" -version = "0.1.2" +version = "0.1.3" description = "A model server for serving models" authors = ["Katanemo Labs, Inc "] license = "Apache 2.0" diff --git a/www/index.html b/www/index.html index bd646a51..b5e403bd 100644 --- a/www/index.html +++ b/www/index.html @@ -58,7 +58,7 @@ display: block; } div.bold-text { - font-size: 1.5rem; + font-size: 1.4rem; margin-bottom: 5px; line-height: 3rem; } @@ -170,27 +170,37 @@ } + + +
GitHub Docs - Discord + Discord Contact
Arch Gateway Logo
-
Build fast, robust, and personalized GenAI apps
-
An open source gateway engineered with (fast) LLMs to handle the muck of prompts.
+ Arch - Build fast, hyper-personalized agents with intelligent infra | Product Hunt +
Build fast, observable, and personalized agents
+
Arch is an intelligent gateway designed to protect, observe and personalize AI agents with your APIs
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Why Arch?

-

The open source project was born out of the belief that:

+

Arch is built on (and by the core contributors of) Envoy proxy with the belief that:

Prompts are nuanced and opaque user requests, which require the same capabilities as traditional HTTP requests including secure handling, intelligent routing, robust observability, and seamless integration with backend (API) @@ -248,7 +258,7 @@

Let's get started

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