diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml index 2d53a6d6..dd1685db 100644 --- a/.github/workflows/e2e_tests.yml +++ b/.github/workflows/e2e_tests.yml @@ -8,7 +8,8 @@ on: jobs: test: - runs-on: ubuntu-latest + runs-on: ubuntu-latest-m + # runs-on: gh-large-150gb-ssd steps: - name: Checkout code @@ -29,4 +30,5 @@ jobs: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }} run: | - cd e2e_tests && bash run_e2e_tests.sh + python -mvenv venv + source venv/bin/activate && cd e2e_tests && bash run_e2e_tests.sh diff --git a/README.md b/README.md index 0b2946a3..a59f88c2 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,13 @@ +

- Arch Gateway Logo + Arch Gateway Logo

+[![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. 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. @@ -68,28 +74,43 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY - model: gpt-4o + access_key: $OPENAI_API_KEY + model: gpt-3.5-turbo default: true # default system prompt used by all prompt targets system_prompt: | - You are a network assistant that just offers facts; not advice on manufacturers or purchasing decisions. + You are a network assistant that helps operators with a better understanding of network traffic flow and perform actions on networking operations. No advice on manufacturers or purchasing decisions. prompt_targets: - - name: reboot_devices - description: Reboot specific devices or device groups - - path: /agent/device_reboot - parameters: - - name: device_ids - type: list - description: A list of device identifiers (IDs) to reboot. - required: false - - name: device_group - type: str - description: The name of the device group to reboot - required: false + - name: device_summary + description: Retrieve network statistics for specific devices within a time range + endpoint: + name: app_server + path: /agent/device_summary + parameters: + - name: device_ids + type: list + description: A list of device identifiers (IDs) to retrieve statistics for. + required: true # device_ids are required to get device statistics + - name: days + type: int + description: The number of days for which to gather device statistics. + default: "7" + - name: reboot_devices + description: Reboot a list of devices + endpoint: + name: app_server + path: /agent/device_reboot + parameters: + - name: device_ids + type: list + description: A list of device identifiers (IDs). + required: true + - name: days + type: int + description: A list of device identifiers (IDs) + default: "7" # Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem. endpoints: @@ -97,7 +118,7 @@ endpoints: # value could be ip address or a hostname with port # this could also be a list of endpoints for load balancing # for example endpoint: [ ip1:port, ip2:port ] - endpoint: 127.0.0.1:80 + endpoint: host.docker.internal:18083 # max time to wait for a connection to be established connect_timeout: 0.005s ``` @@ -106,20 +127,23 @@ endpoints: Make outbound calls via Arch ```python -import openai - -# Set the OpenAI API base URL to the Arch gateway endpoint -openai.api_base = "http://127.0.0.1:12000/v1" -# No need to set a specific openai.api_key since it's configured in Arch's gateway -openai.api_key = "null" +from openai import OpenAI # Use the OpenAI client as usual -response = openai.Completion.create( - model="text-davinci-003", - prompt="What is the capital of France?" +client = OpenAI( + # No need to set a specific openai.api_key since it's configured in Arch's gateway + api_key = '--', + # Set the OpenAI API base URL to the Arch gateway endpoint + base_url = "http://127.0.0.1:12000/v1" ) -print("OpenAI Response:", response.choices[0].text.strip()) +response = client.chat.completions.create( + # we select model from arch_config file + model="--", + messages=[{"role": "user", "content": "What is the capital of France?"}], +) + +print("OpenAI Response:", response.choices[0].message.content) ``` diff --git a/arch/Dockerfile b/arch/Dockerfile index 85721f58..6d7a0f9b 100644 --- a/arch/Dockerfile +++ b/arch/Dockerfile @@ -13,7 +13,7 @@ FROM envoyproxy/envoy:v1.31-latest as envoy #Build config generator, so that we have a single build image for both Rust and Python FROM python:3-slim as arch -RUN apt-get update && apt-get install -y gettext-base && apt-get clean && rm -rf /var/lib/apt/lists/* +RUN apt-get update && apt-get install -y gettext-base curl && apt-get clean && rm -rf /var/lib/apt/lists/* COPY --from=builder /arch/target/wasm32-wasi/release/prompt_gateway.wasm /etc/envoy/proxy-wasm-plugins/prompt_gateway.wasm COPY --from=builder /arch/target/wasm32-wasi/release/llm_gateway.wasm /etc/envoy/proxy-wasm-plugins/llm_gateway.wasm diff --git a/arch/docker-compose.yaml b/arch/docker-compose.yaml index 78345547..d47fb232 100644 --- a/arch/docker-compose.yaml +++ b/arch/docker-compose.yaml @@ -11,6 +11,11 @@ services: - /etc/ssl/cert.pem:/etc/ssl/cert.pem - ~/archgw_logs:/var/log/ env_file: - - stage.env + - env.list extra_hosts: - "host.docker.internal:host-gateway" + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:10000/healthz"] + interval: 30s + timeout: 10s + retries: 3 diff --git a/arch/stage.env b/arch/env.list similarity index 100% rename from arch/stage.env rename to arch/env.list diff --git a/arch/tools/build_cli.sh b/arch/tools/build_cli.sh index aae3b616..cad766f7 100644 --- a/arch/tools/build_cli.sh +++ b/arch/tools/build_cli.sh @@ -3,7 +3,6 @@ # Define paths source_schema="../arch_config_schema.yaml" source_compose="../docker-compose.yaml" -source_stage_env="../stage.env" destination_dir="config" # Ensure the destination directory exists only if it doesn't already @@ -15,7 +14,7 @@ fi # Copy the files cp "$source_schema" "$destination_dir/arch_config_schema.yaml" cp "$source_compose" "$destination_dir/docker-compose.yaml" -cp "$source_stage_env" "$destination_dir/stage.env" +touch "$destination_dir/env.list" # Print success message echo "Files copied successfully!" diff --git a/arch/tools/cli/config_generator.py b/arch/tools/cli/config_generator.py index 1e5fd4a3..90c1406f 100644 --- a/arch/tools/cli/config_generator.py +++ b/arch/tools/cli/config_generator.py @@ -34,7 +34,7 @@ def validate_and_render_schema(): try: validate_prompt_config(ARCH_CONFIG_FILE, ARCH_CONFIG_SCHEMA_FILE) except Exception as e: - print(e) + print(str(e)) exit(1) # validate_prompt_config failed. Exit with open(ARCH_CONFIG_FILE, "r") as file: @@ -73,7 +73,6 @@ def validate_and_render_schema(): print("updated clusters", inferred_clusters) - config_yaml = add_secret_key_to_llm_providers(config_yaml) arch_llm_providers = config_yaml["llm_providers"] arch_tracing = config_yaml.get("tracing", {}) arch_config_string = yaml.dump(config_yaml) diff --git a/arch/tools/cli/main.py b/arch/tools/cli/main.py index 0bac9e5b..127b4a41 100644 --- a/arch/tools/cli/main.py +++ b/arch/tools/cli/main.py @@ -58,6 +58,8 @@ def main(ctx, version): click.echo(f"archgw cli version: {get_version()}") ctx.exit() + log.info(f"Starting archgw cli version: {get_version()}") + if ctx.invoked_subcommand is None: click.echo("""Arch (The Intelligent Prompt Gateway) CLI""") click.echo(logo) @@ -68,7 +70,7 @@ def main(ctx, version): @click.option( "--service", default=SERVICE_ALL, - help="Optioanl parameter to specify which service to build. Options are model_server, archgw", + help="Optional parameter to specify which service to build. Options are model_server, archgw", ) def build(service): """Build Arch from source. Must be in root of cloned repo.""" @@ -168,7 +170,7 @@ def up(file, path, service): arch_config_schema_file=arch_schema_config, ) except Exception as e: - log.info(f"Exiting archgw up: {e}") + log.info(f"Exiting archgw up: validation failed") sys.exit(1) log.info("Starging arch model server and arch gateway") @@ -178,6 +180,12 @@ def up(file, path, service): env = os.environ.copy() # check if access_keys are preesnt in the config file access_keys = get_llm_provider_access_keys(arch_config_file=arch_config_file) + + # remove duplicates + access_keys = set(access_keys) + # remove the $ from the access_keys + access_keys = [item[1:] if item.startswith("$") else item for item in access_keys] + if access_keys: if file: app_env_file = os.path.join( @@ -186,6 +194,7 @@ def up(file, path, service): else: app_env_file = os.path.abspath(os.path.join(path, ".env")) + print(f"app_env_file: {app_env_file}") if not os.path.exists( app_env_file ): # check to see if the environment variables in the current environment or not @@ -205,7 +214,7 @@ def up(file, path, service): env_stage[access_key] = env_file_dict[access_key] with open( - pkg_resources.resource_filename(__name__, "../config/stage.env"), "w" + pkg_resources.resource_filename(__name__, "../config/env.list"), "w" ) as file: for key, value in env_stage.items(): file.write(f"{key}={value}\n") diff --git a/arch/tools/poetry.lock b/arch/tools/poetry.lock index 64888456..9df76813 100644 --- a/arch/tools/poetry.lock +++ b/arch/tools/poetry.lock @@ -13,7 +13,7 @@ files = [ [[package]] name = "archgw_modelserver" -version = "0.0.4" +version = "0.1.1" description = "A model server for serving models" optional = false python-versions = "*" @@ -250,13 +250,13 @@ tqdm = ["tqdm"] [[package]] name = "huggingface-hub" -version = "0.26.1" +version = "0.26.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.26.1-py3-none-any.whl", hash = "sha256:5927a8fc64ae68859cd954b7cc29d1c8390a5e15caba6d3d349c973be8fdacf3"}, - {file = "huggingface_hub-0.26.1.tar.gz", hash = "sha256:414c0d9b769eecc86c70f9d939d0f48bb28e8461dd1130021542eff0212db890"}, + {file = "huggingface_hub-0.26.2-py3-none-any.whl", hash = "sha256:98c2a5a8e786c7b2cb6fdeb2740893cba4d53e312572ed3d8afafda65b128c46"}, + {file = "huggingface_hub-0.26.2.tar.gz", hash = "sha256:b100d853465d965733964d123939ba287da60a547087783ddff8a323f340332b"}, ] [package.dependencies] @@ -765,33 +765,33 @@ files = [ [[package]] name = "setuptools" -version = "75.2.0" +version = "75.3.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-75.2.0-py3-none-any.whl", hash = "sha256:a7fcb66f68b4d9e8e66b42f9876150a3371558f98fa32222ffaa5bced76406f8"}, - {file = "setuptools-75.2.0.tar.gz", hash = "sha256:753bb6ebf1f465a1912e19ed1d41f403a79173a9acf66a42e7e6aec45c3c16ec"}, + {file = "setuptools-75.3.0-py3-none-any.whl", hash = "sha256:f2504966861356aa38616760c0f66568e535562374995367b4e69c7143cf6bcd"}, + {file = "setuptools-75.3.0.tar.gz", hash = "sha256:fba5dd4d766e97be1b1681d98712680ae8f2f26d7881245f2ce9e40714f1a686"}, ] [package.extras] check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"] -core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.12.*)", "pytest-mypy"] [[package]] name = "tqdm" -version = "4.66.5" +version = "4.66.6" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" files = [ - {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"}, - {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"}, + {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"}, + {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"}, ] [package.dependencies] @@ -834,4 +834,4 @@ zstd = ["zstandard (>=0.18.0)"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "e51783523cbe087cb1db94e874a28564b43af03a1689523d3738b212e288f64b" +content-hash = "c6d4df2015f02a8105934690d43d2133771c358f2f393a7a8a5a1e0df1c0a55b" diff --git a/arch/tools/pyproject.toml b/arch/tools/pyproject.toml index a159c03d..19a301eb 100644 --- a/arch/tools/pyproject.toml +++ b/arch/tools/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw" -version = "0.0.5" +version = "0.1.0" description = "Python-based CLI tool to manage Arch Gateway." authors = ["Katanemo Labs, Inc."] packages = [ @@ -12,7 +12,6 @@ include = [ # Include package data (docker-compose.yaml and other files)[ "config/docker-compose.yaml", "config/arch_config_schema.yaml", - "config/stage.env" ] [tool.poetry.dependencies] @@ -22,8 +21,8 @@ pydantic = "^2.9.2" click = "^8.1.7" jinja2 = "^3.1.4" jsonschema = "^4.23.0" -setuptools = "75.2.0" -archgw_modelserver = "0.0.4" +setuptools = "75.3.0" +archgw_modelserver = "0.1.1" huggingface_hub = "^0.26.0" [tool.poetry.scripts] diff --git a/archgw.code-workspace b/archgw.code-workspace index 230e2225..3a2807f2 100644 --- a/archgw.code-workspace +++ b/archgw.code-workspace @@ -16,10 +16,6 @@ "name": "model_server", "path": "model_server" }, - { - "name": "chatbot_ui", - "path": "chatbot_ui" - }, { "name": "e2e_tests", "path": "e2e_tests" diff --git a/crates/prompt_gateway/src/http_context.rs b/crates/prompt_gateway/src/http_context.rs index 3b014009..feb3d616 100644 --- a/crates/prompt_gateway/src/http_context.rs +++ b/crates/prompt_gateway/src/http_context.rs @@ -316,7 +316,14 @@ impl HttpContext for StreamContext { self.arch_state = Some(Vec::new()); } - let mut data = serde_json::from_str(&body_utf8).unwrap(); + let mut data = match serde_json::from_str(&body_utf8) { + Ok(data) => data, + Err(e) => { + warn!("could not deserialize response: {}", e); + self.send_server_error(ServerError::Deserialization(e), None); + return Action::Pause; + } + }; // use serde::Value to manipulate the json object and ensure that we don't lose any data if let Value::Object(ref mut map) = data { // serialize arch state and add to metadata diff --git a/crates/prompt_gateway/src/stream_context.rs b/crates/prompt_gateway/src/stream_context.rs index 4bbd3fa6..9e8f8a60 100644 --- a/crates/prompt_gateway/src/stream_context.rs +++ b/crates/prompt_gateway/src/stream_context.rs @@ -446,61 +446,89 @@ impl StreamContext { // it may be that arch fc is handling the conversation for parameter collection if arch_assistant { info!("arch fc is engaged in parameter collection"); - } else { - if let Some(default_prompt_target) = self - .prompt_targets - .values() - .find(|pt| pt.default.unwrap_or(false)) - { - debug!( - "default prompt target found, forwarding request to default prompt target" - ); - let endpoint = default_prompt_target.endpoint.clone().unwrap(); - let upstream_path: String = endpoint.path.unwrap_or(String::from("/")); + } else if let Some(default_prompt_target) = self + .prompt_targets + .values() + .find(|pt| pt.default.unwrap_or(false)) + { + debug!("default prompt target found, forwarding request to default prompt target"); + let endpoint = default_prompt_target.endpoint.clone().unwrap(); + let upstream_path: String = endpoint.path.unwrap_or(String::from("/")); - let upstream_endpoint = endpoint.name; - let mut params = HashMap::new(); - params.insert( - MESSAGES_KEY.to_string(), - callout_context.request_body.messages.clone(), - ); - let arch_messages_json = serde_json::to_string(¶ms).unwrap(); - let timeout_str = ARCH_FC_REQUEST_TIMEOUT_MS.to_string(); + let upstream_endpoint = endpoint.name; + let mut params = HashMap::new(); + params.insert( + MESSAGES_KEY.to_string(), + callout_context.request_body.messages.clone(), + ); + let arch_messages_json = serde_json::to_string(¶ms).unwrap(); + let timeout_str = ARCH_FC_REQUEST_TIMEOUT_MS.to_string(); - let mut headers = vec![ - (":method", "POST"), - (ARCH_UPSTREAM_HOST_HEADER, &upstream_endpoint), - (":path", &upstream_path), - (":authority", &upstream_endpoint), - ("content-type", "application/json"), - ("x-envoy-max-retries", "3"), - ("x-envoy-upstream-rq-timeout-ms", timeout_str.as_str()), - ]; + let mut headers = vec![ + (":method", "POST"), + (ARCH_UPSTREAM_HOST_HEADER, &upstream_endpoint), + (":path", &upstream_path), + (":authority", &upstream_endpoint), + ("content-type", "application/json"), + ("x-envoy-max-retries", "3"), + ("x-envoy-upstream-rq-timeout-ms", timeout_str.as_str()), + ]; - if self.request_id.is_some() { - headers.push((REQUEST_ID_HEADER, self.request_id.as_ref().unwrap())); - } - - let call_args = CallArgs::new( - ARCH_INTERNAL_CLUSTER_NAME, - &upstream_path, - headers, - Some(arch_messages_json.as_bytes()), - vec![], - Duration::from_secs(5), - ); - callout_context.response_handler_type = ResponseHandlerType::DefaultTarget; - callout_context.prompt_target_name = Some(default_prompt_target.name.clone()); - - if let Err(e) = self.http_call(call_args, callout_context) { - warn!("error dispatching default prompt target request: {}", e); - return self.send_server_error( - ServerError::HttpDispatch(e), - Some(StatusCode::BAD_REQUEST), - ); - } + if self.request_id.is_some() { + headers.push((REQUEST_ID_HEADER, self.request_id.as_ref().unwrap())); } + let call_args = CallArgs::new( + ARCH_INTERNAL_CLUSTER_NAME, + &upstream_path, + headers, + Some(arch_messages_json.as_bytes()), + vec![], + Duration::from_secs(5), + ); + callout_context.response_handler_type = ResponseHandlerType::DefaultTarget; + callout_context.prompt_target_name = Some(default_prompt_target.name.clone()); + + if let Err(e) = self.http_call(call_args, callout_context) { + warn!("error dispatching default prompt target request: {}", e); + return self.send_server_error( + ServerError::HttpDispatch(e), + Some(StatusCode::BAD_REQUEST), + ); + } + return; + } else { + // if no default prompt target is found and similarity score is low send response to upstream llm + // removing tool calls and tool response + + let messages = self.filter_out_arch_messages(&callout_context); + + let chat_completions_request: ChatCompletionsRequest = ChatCompletionsRequest { + model: callout_context.request_body.model, + messages, + tools: None, + stream: callout_context.request_body.stream, + stream_options: callout_context.request_body.stream_options, + metadata: None, + }; + + let llm_request_str = match serde_json::to_string(&chat_completions_request) { + Ok(json_string) => json_string, + Err(e) => { + return self.send_server_error(ServerError::Serialization(e), None); + } + }; + debug!( + "archgw (low similarity score) => llm request: {}", + llm_request_str + ); + + self.set_http_request_body( + 0, + self.request_body_size, + &llm_request_str.into_bytes(), + ); + self.resume_http_request(); return; } @@ -834,7 +862,7 @@ impl StreamContext { ); debug!( - "archgw => api call, endpoint: {}/{}, body: {}", + "archgw => api call, endpoint: {}{}, body: {}", endpoint.name.as_str(), path, tool_params_json_str @@ -873,42 +901,8 @@ impl StreamContext { "archgw <= api call response: {}", self.tool_call_response.as_ref().unwrap() ); - let prompt_target_name = callout_context.prompt_target_name.unwrap(); - let prompt_target = self - .prompt_targets - .get(&prompt_target_name) - .unwrap() - .clone(); - let mut messages: Vec = Vec::new(); - - // add system prompt - let system_prompt = match prompt_target.system_prompt.as_ref() { - None => self.system_prompt.as_ref().clone(), - Some(system_prompt) => Some(system_prompt.clone()), - }; - if system_prompt.is_some() { - let system_prompt_message = Message { - role: SYSTEM_ROLE.to_string(), - content: system_prompt, - model: None, - tool_calls: None, - tool_call_id: None, - }; - messages.push(system_prompt_message); - } - - // don't send tools message and api response to chat gpt - for m in callout_context.request_body.messages.iter() { - // don't send api response and tool calls to upstream LLMs - if m.role == TOOL_ROLE - || m.content.is_none() - || (m.tool_calls.is_some() && !m.tool_calls.as_ref().unwrap().is_empty()) - { - continue; - } - messages.push(m.clone()); - } + let mut messages = self.filter_out_arch_messages(&callout_context); let user_message = match messages.pop() { Some(user_message) => user_message, @@ -960,6 +954,51 @@ impl StreamContext { self.resume_http_request(); } + fn filter_out_arch_messages(&mut self, callout_context: &StreamCallContext) -> Vec { + let mut messages: Vec = Vec::new(); + // add system prompt + + let system_prompt = match callout_context.prompt_target_name.as_ref() { + None => self.system_prompt.as_ref().clone(), + Some(prompt_target_name) => { + let prompt_system_prompt = self + .prompt_targets + .get(prompt_target_name) + .unwrap() + .clone() + .system_prompt; + match prompt_system_prompt { + None => self.system_prompt.as_ref().clone(), + Some(system_prompt) => Some(system_prompt), + } + } + }; + if system_prompt.is_some() { + let system_prompt_message = Message { + role: SYSTEM_ROLE.to_string(), + content: system_prompt, + model: None, + tool_calls: None, + tool_call_id: None, + }; + messages.push(system_prompt_message); + } + + // don't send tools message and api response to chat gpt + for m in callout_context.request_body.messages.iter() { + // don't send api response and tool calls to upstream LLMs + if m.role == TOOL_ROLE + || m.content.is_none() + || (m.tool_calls.is_some() && !m.tool_calls.as_ref().unwrap().is_empty()) + { + continue; + } + messages.push(m.clone()); + } + + messages + } + pub fn arch_guard_handler(&mut self, body: Vec, callout_context: StreamCallContext) { let prompt_guard_resp: PromptGuardResponse = serde_json::from_slice(&body).unwrap(); debug!( diff --git a/demos/hr_agent/Dockerfile b/demos/hr_agent/Dockerfile index c97fb497..427fe8a4 100644 --- a/demos/hr_agent/Dockerfile +++ b/demos/hr_agent/Dockerfile @@ -5,16 +5,12 @@ FROM base AS builder WORKDIR /src COPY requirements.txt /src/ -COPY workforce_data.json /src/ RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt -COPY . /src - FROM python:3.10-slim AS output - COPY --from=builder /runtime /usr/local -COPY . /app WORKDIR /app +COPY . /app CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"] diff --git a/demos/hr_agent/README.md b/demos/hr_agent/README.md index cdc74d77..53ddd441 100644 --- a/demos/hr_agent/README.md +++ b/demos/hr_agent/README.md @@ -25,7 +25,5 @@ This demo showcases how the **Arch** can be used to build an HR agent to manage ```sh sh run_demo.sh ``` -3. Navigate to http://localhost:18080/ +3. Navigate to http://localhost:18080/agent/chat 4. "Can you give me workforce data for asia?" - -![alt text](image.png) diff --git a/demos/hr_agent/arch_config.yaml b/demos/hr_agent/arch_config.yaml index 71baa08e..c2c5fdca 100644 --- a/demos/hr_agent/arch_config.yaml +++ b/demos/hr_agent/arch_config.yaml @@ -8,7 +8,7 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o-mini default: true @@ -24,15 +24,11 @@ endpoints: # default system prompt used by all prompt targets system_prompt: | - You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workfoce planning. NOTHING ELSE. When you get data in json format, offer some summary but don't be too verbose. + You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workforce planning. Use following rules when responding, + - when you get data in json format, offer some summary but don't be too verbose + - be concise, to the point and do not over analyze the data prompt_targets: - - name: hr_qa - endpoint: - name: app_server - path: /agent/hr_qa - description: Handle general Q/A related to HR. - default: true - name: workforce description: Get workforce data like headcount and satisfacton levels by region and staffing type endpoint: @@ -41,16 +37,16 @@ prompt_targets: parameters: - name: staffing_type type: str - description: Staffing type like contract, fte or agency + description: specific category or nature of employment used by an organization like fte, contract and agency required: true - name: region type: str required: true description: Geographical region for which you want workforce data like asia, europe, americas. - - name: point_in_time + - name: data_snapshot_days_ago type: int required: false - description: the point in time for which to retrieve data. For e.g 0 days ago, 30 days ago, etc. + description: the snapshot day for which you want workforce data. - name: slack_message endpoint: name: app_server diff --git a/demos/hr_agent/docker-compose.yaml b/demos/hr_agent/docker-compose.yaml index 1067ba6c..8f44a124 100644 --- a/demos/hr_agent/docker-compose.yaml +++ b/demos/hr_agent/docker-compose.yaml @@ -4,22 +4,14 @@ services: context: . environment: - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN:-None} + - OPENAI_API_KEY=${OPENAI_API_KEY:?error} + - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1 + volumes: + - ./arch_config.yaml:/app/arch_config.yaml + - ../shared/chatbot_ui/common.py:/app/common.py ports: - - "18083:80" + - "18080:80" healthcheck: test: ["CMD", "curl" ,"http://localhost:80/healthz"] interval: 5s retries: 20 - - chatbot_ui: - build: - context: ../shared/chatbot_ui - ports: - - "18080:8080" - environment: - - OPENAI_API_KEY=${OPENAI_API_KEY:?error} - - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1 - extra_hosts: - - "host.docker.internal:host-gateway" - volumes: - - ./arch_config.yaml:/app/arch_config.yaml diff --git a/demos/hr_agent/image.png b/demos/hr_agent/image.png index e36855b2..e9ab580f 100644 Binary files a/demos/hr_agent/image.png and b/demos/hr_agent/image.png differ diff --git a/demos/hr_agent/main.py b/demos/hr_agent/main.py index 3a1a14e6..e1c4bbe3 100644 --- a/demos/hr_agent/main.py +++ b/demos/hr_agent/main.py @@ -1,28 +1,39 @@ import os import json import pandas as pd +import gradio as gr +import logging + from fastapi import FastAPI, HTTPException from pydantic import BaseModel, Field -from typing import Optional from enum import Enum +from typing import List, Optional, Tuple from slack_sdk import WebClient from slack_sdk.errors import SlackApiError +from openai import OpenAI +from common import create_gradio_app app = FastAPI() workforce_data_df = None +demo_description = """This demo showcases how the **Arch** can be used to build an +HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. +It intelligently routes incoming prompts to the correct targets, providing concise and useful responses +tailored for HR and workforce decision-making. """ with open("workforce_data.json") as file: workforce_data = json.load(file) workforce_data_df = pd.json_normalize( - workforce_data, record_path=["regions"], meta=["point_in_time", "satisfaction"] + workforce_data, + record_path=["regions"], + meta=["data_snapshot_days_ago", "satisfaction"], ) # Define the request model -class WorkforceRequset(BaseModel): +class WorkforceRequest(BaseModel): region: str staffing_type: str - point_in_time: Optional[int] = None + data_snapshot_days_ago: Optional[int] = None class SlackRequest(BaseModel): @@ -36,25 +47,6 @@ class WorkforceResponse(BaseModel): satisfaction: float -# Post method for device summary -@app.post("/agent/workforce") -def get_workforce(request: WorkforceRequset): - """ - Endpoint to workforce data by region, staffing type at a given point in time. - """ - region = request.region.lower() - staffing_type = request.staffing_type.lower() - point_in_time = request.point_in_time if request.point_in_time else 0 - - response = { - "region": region, - "staffing_type": f"Staffing agency: {staffing_type}", - "headcount": f"Headcount: {int(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)][staffing_type].values[0])}", - "satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)]['satisfaction'].values[0])}", - } - return response - - @app.post("/agent/slack_message") def send_slack_message(request: SlackRequest): """ @@ -80,27 +72,38 @@ def send_slack_message(request: SlackRequest): print(f"Error sending message: {e.response['error']}") -@app.post("/agent/hr_qa") -async def general_hr_qa(): +# Post method for device summary +@app.post("/agent/workforce") +def get_workforce(request: WorkforceRequest): """ - This method handles Q/A related to general issues in HR. - It forwards the conversation to the OpenAI client via a local proxy and returns the response. + Endpoint to workforce data by region, staffing type at a given point in time. """ - return { - "choices": [ - { - "message": { - "role": "assistant", - "content": "I am a helpful HR agent, and I can help you plan for workforce related questions", - }, - "finish_reason": "completed", - "index": 0, - } - ], - "model": "hr_agent", - "usage": {"completion_tokens": 0}, - } + region = request.region.lower() + staffing_type = request.staffing_type.lower() + data_snapshot_days_ago = ( + request.data_snapshot_days_ago + if request.data_snapshot_days_ago + else 0 # this param is not required. + ) + response = { + "region": region, + "staffing_type": f"Staffing agency: {staffing_type}", + "headcount": f"Headcount: {int(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['data_snapshot_days_ago']==data_snapshot_days_ago)][staffing_type].values[0])}", + "satisfaction": f"Satisfaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['data_snapshot_days_ago']==data_snapshot_days_ago)]['satisfaction'].values[0])}", + } + return response + + +CHAT_COMPLETION_ENDPOINT = os.getenv("CHAT_COMPLETION_ENDPOINT") +client = OpenAI( + api_key="--", + base_url=CHAT_COMPLETION_ENDPOINT, +) + +gr.mount_gradio_app( + app, create_gradio_app(demo_description, client), path="/agent/chat" +) if __name__ == "__main__": app.run(debug=True) diff --git a/demos/hr_agent/requirements.txt b/demos/hr_agent/requirements.txt index 3068f77e..9a108c37 100644 --- a/demos/hr_agent/requirements.txt +++ b/demos/hr_agent/requirements.txt @@ -1,6 +1,13 @@ fastapi uvicorn -pydantic slack-sdk typing pandas +gradio==5.3.0 +async_timeout==4.0.3 +loguru==0.7.2 +asyncio==3.4.3 +httpx==0.27.0 +python-dotenv==1.0.1 +pydantic==2.8.2 +openai==1.51.0 diff --git a/demos/hr_agent/workforce_data.json b/demos/hr_agent/workforce_data.json index e28654d7..4f2279ba 100644 --- a/demos/hr_agent/workforce_data.json +++ b/demos/hr_agent/workforce_data.json @@ -1,6 +1,6 @@ [ { - "point_in_time": 0, + "data_snapshot_days_ago": 0, "regions": [ { "region": "asia", "contract": 100, "fte": 150, "agency": 2000 }, { "region": "europe", "contract": 80, "fte": 120, "agency": 2500 }, @@ -9,7 +9,7 @@ "satisfaction": 3.5 }, { - "point_in_time": 30, + "data_snapshot_days_ago": 30, "regions": [ { "region": "asia", "contract": 110, "fte": 155, "agency": 1000 }, { "region": "europe", "contract": 85, "fte": 130, "agency": 1600 }, @@ -18,7 +18,7 @@ "satisfaction": 4.0 }, { - "point_in_time": 60, + "data_snapshot_days_ago": 60, "regions": [ { "region": "asia", "contract": 115, "fte": 160, "agency": 500 }, { "region": "europe", "contract": 90, "fte": 140, "agency": 700 }, diff --git a/demos/insurance_agent/arch_config.yaml b/demos/insurance_agent/arch_config.yaml index c6ea99fe..63997f72 100644 --- a/demos/insurance_agent/arch_config.yaml +++ b/demos/insurance_agent/arch_config.yaml @@ -10,7 +10,7 @@ system_prompt: | llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o default: true diff --git a/demos/network_agent/README.md b/demos/network_agent/README.md index 2b019462..e7038732 100644 --- a/demos/network_agent/README.md +++ b/demos/network_agent/README.md @@ -24,7 +24,7 @@ The assistant can perform several key operations, including rebooting devices, a ```sh sh run_demo.sh ``` -3. Navigate to http://localhost:18080/ +3. Navigate to http://localhost:18080/agent/chat 4. Tell me what can you do for me?" # Observability @@ -39,4 +39,4 @@ Arch gateway publishes stats endpoint at http://localhost:19901/stats. In this d Here is sample interaction -image +![alt text](image.png) diff --git a/demos/network_agent/arch_config.yaml b/demos/network_agent/arch_config.yaml index 63ada88e..e2945e9a 100644 --- a/demos/network_agent/arch_config.yaml +++ b/demos/network_agent/arch_config.yaml @@ -8,36 +8,17 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-3.5-turbo default: true # default system prompt used by all prompt targets system_prompt: | - You are a network assistant that just offers facts; not advice on manufacturers or purchasing decisions. + You are a network assistant that helps operators with a better understanding of network traffic flow and perform actions on networking operations. No advice on manufacturers or purchasing decisions. prompt_targets: - - name: reboot_devices - description: Reboot specific devices or device groups - endpoint: - name: app_server - path: /agent/device_reboot - parameters: - - name: device_ids - type: list - description: A list of device identifiers (IDs) to reboot. - required: true - - name: time_range - type: int - description: Optional time range in days for reboot operations. Defaults to 7. - - name: network_qa - endpoint: - name: app_server - path: /agent/network_summary - description: Handle general Q/A related to networking. - default: true - name: device_summary - description: Retrieve statistics for specific devices within a time range + description: Retrieve network statistics for specific devices within a time range endpoint: name: app_server path: /agent/device_summary @@ -46,9 +27,23 @@ prompt_targets: type: list description: A list of device identifiers (IDs) to retrieve statistics for. required: true # device_ids are required to get device statistics - - name: time_range + - name: days type: int - description: Time range in days for which to gather device statistics. Defaults to 7. + description: The number of days for which to gather device statistics. + default: "7" + - name: reboot_devices + description: Reboot a list of devices + endpoint: + name: app_server + path: /agent/device_reboot + parameters: + - name: device_ids + type: list + description: A list of device identifiers (IDs). + required: true + - name: days + type: int + description: A list of device identifiers (IDs) default: "7" # Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem. @@ -60,12 +55,3 @@ endpoints: endpoint: host.docker.internal:18083 # max time to wait for a connection to be established connect_timeout: 0.005s - -ratelimits: - - model: gpt-4 - selector: - key: selector-key - value: selector-value - limit: - tokens: 1 - unit: minute diff --git a/demos/network_agent/docker-compose.yaml b/demos/network_agent/docker-compose.yaml index d04b55cc..5d9fb0cb 100644 --- a/demos/network_agent/docker-compose.yaml +++ b/demos/network_agent/docker-compose.yaml @@ -2,24 +2,14 @@ services: api_server: build: context: . - dockerfile: Dockerfile + environment: + - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1 + volumes: + - ./arch_config.yaml:/app/arch_config.yaml + - ../shared/chatbot_ui/common.py:/app/common.py ports: - - "18083:80" + - "18080:80" healthcheck: test: ["CMD", "curl" ,"http://localhost:80/healthz"] interval: 5s retries: 20 - - chatbot_ui: - build: - context: ../shared/chatbot_ui - dockerfile: Dockerfile - ports: - - "18080:8080" - environment: - - OPENAI_API_KEY=${OPENAI_API_KEY:?error} - - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1 - extra_hosts: - - "host.docker.internal:host-gateway" - volumes: - - ./arch_config.yaml:/app/arch_config.yaml diff --git a/demos/network_agent/image.png b/demos/network_agent/image.png new file mode 100644 index 00000000..dc0926bd Binary files /dev/null and b/demos/network_agent/image.png differ diff --git a/demos/network_agent/main.py b/demos/network_agent/main.py index 0f9a6ee0..746353b7 100644 --- a/demos/network_agent/main.py +++ b/demos/network_agent/main.py @@ -1,8 +1,15 @@ +from openai import OpenAI from fastapi import FastAPI, HTTPException from pydantic import BaseModel, Field from typing import List, Optional +from common import create_gradio_app +import gradio as gr +import os + app = FastAPI() +demo_description = """This demo illustrates how **Arch** can be used to perform function calling with network-related tasks. +In this demo, you act as a **network assistant** that provides factual information, without offering advice on manufacturers or purchasing decisions.""" # Define the request model @@ -88,27 +95,15 @@ def get_device_summary(request: DeviceSummaryRequest): return DeviceSummaryResponse(statistics=statistics) -@app.post("/agent/network_summary") -async def policy_qa(): - """ - This method handles Q/A related to general issues in networks. - It forwards the conversation to the OpenAI client via a local proxy and returns the response. - """ - return { - "choices": [ - { - "message": { - "role": "assistant", - "content": "I am a helpful networking agent, and I can help you get status for network devices or reboot them", - }, - "finish_reason": "completed", - "index": 0, - } - ], - "model": "network_agent", - "usage": {"completion_tokens": 0}, - } +CHAT_COMPLETION_ENDPOINT = os.getenv("CHAT_COMPLETION_ENDPOINT") +client = OpenAI( + api_key="--", + base_url=CHAT_COMPLETION_ENDPOINT, +) +gr.mount_gradio_app( + app, create_gradio_app(demo_description, client), path="/agent/chat" +) if __name__ == "__main__": app.run(debug=True) diff --git a/demos/network_agent/requirements.txt b/demos/network_agent/requirements.txt index 77e7584c..8aa2003a 100644 --- a/demos/network_agent/requirements.txt +++ b/demos/network_agent/requirements.txt @@ -2,3 +2,12 @@ fastapi uvicorn pydantic typing +pandas +gradio==5.3.0 +async_timeout==4.0.3 +loguru==0.7.2 +asyncio==3.4.3 +httpx==0.27.0 +python-dotenv==1.0.1 +pydantic==2.8.2 +openai==1.51.0 diff --git a/demos/shared/chatbot_ui/common.py b/demos/shared/chatbot_ui/common.py index 3fd5c265..27838397 100644 --- a/demos/shared/chatbot_ui/common.py +++ b/demos/shared/chatbot_ui/common.py @@ -2,6 +2,9 @@ import json import logging import os import yaml +import gradio as gr +from typing import List, Optional, Tuple +from functools import partial logging.basicConfig( level=logging.INFO, @@ -10,6 +13,97 @@ logging.basicConfig( log = logging.getLogger(__name__) +GRADIO_CSS_STYLE = """ +.json-container { + height: 80vh !important; + overflow-y: auto !important; +} +.chatbot { + height: calc(80vh - 100px) !important; + overflow-y: auto !important; +} +footer {visibility: hidden} +""" + + +def chat( + query: Optional[str], + conversation: Optional[List[Tuple[str, str]]], + history: List[dict], + client, +): + history.append({"role": "user", "content": query}) + + try: + response = client.chat.completions.create( + # we select model from arch_config file + model="--", + messages=history, + temperature=1.0, + stream=True, + ) + except Exception as e: + # remove last user message in case of exception + history.pop() + log.info("Error calling gateway API: {}".format(e)) + raise gr.Error("Error calling gateway API: {}".format(e)) + + conversation.append((query, "")) + + for chunk in response: + tokens = process_stream_chunk(chunk, history) + if tokens: + conversation[-1] = ( + conversation[-1][0], + conversation[-1][1] + tokens, + ) + + yield "", conversation, history + + +def create_gradio_app(demo_description, client): + with gr.Blocks( + theme=gr.themes.Default( + font_mono=[gr.themes.GoogleFont("IBM Plex Mono"), "Arial", "sans-serif"] + ), + fill_height=True, + css=GRADIO_CSS_STYLE, + ) as demo: + with gr.Row(equal_height=True): + history = gr.State([]) + + with gr.Column(scale=1): + gr.Markdown(demo_description), + with gr.Accordion("Available Tools/APIs", open=True): + with gr.Column(scale=1): + gr.JSON( + value=get_prompt_targets(), + show_indices=False, + elem_classes="json-container", + min_height="80vh", + ) + + with gr.Column(scale=2): + chatbot = gr.Chatbot( + label="Arch Chatbot", + elem_classes="chatbot", + ) + textbox = gr.Textbox( + show_label=False, + placeholder="Enter text and press enter", + autofocus=True, + elem_classes="textbox", + ) + chat_with_client = partial(chat, client=client) + + textbox.submit( + chat_with_client, + [textbox, chatbot, history], + [textbox, chatbot, history], + ) + + return demo + def process_stream_chunk(chunk, history): delta = chunk.choices[0].delta diff --git a/docs/source/build_with_arch/includes/agent/function-calling-agent.yaml b/docs/source/build_with_arch/includes/agent/function-calling-agent.yaml index 5e31615b..bafd3b41 100644 --- a/docs/source/build_with_arch/includes/agent/function-calling-agent.yaml +++ b/docs/source/build_with_arch/includes/agent/function-calling-agent.yaml @@ -8,7 +8,7 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-3.5-turbo default: true diff --git a/docs/source/concepts/includes/arch_config.yaml b/docs/source/concepts/includes/arch_config.yaml index bb52ea60..44da39ff 100644 --- a/docs/source/concepts/includes/arch_config.yaml +++ b/docs/source/concepts/includes/arch_config.yaml @@ -10,7 +10,7 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o default: true stream: true diff --git a/docs/source/get_started/includes/quickstart.yaml b/docs/source/get_started/includes/quickstart.yaml index c448ae82..3125be99 100644 --- a/docs/source/get_started/includes/quickstart.yaml +++ b/docs/source/get_started/includes/quickstart.yaml @@ -10,7 +10,7 @@ listen: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o default: true stream: true diff --git a/docs/source/guides/includes/arch_config.yaml b/docs/source/guides/includes/arch_config.yaml index 4112a204..52496afd 100644 --- a/docs/source/guides/includes/arch_config.yaml +++ b/docs/source/guides/includes/arch_config.yaml @@ -10,7 +10,7 @@ listener: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o default: true stream: true diff --git a/docs/source/resources/includes/arch_config_full_reference.yaml b/docs/source/resources/includes/arch_config_full_reference.yaml index 2206aa2e..1f97369a 100644 --- a/docs/source/resources/includes/arch_config_full_reference.yaml +++ b/docs/source/resources/includes/arch_config_full_reference.yaml @@ -32,7 +32,7 @@ endpoints: llm_providers: - name: OpenAI provider: openai - access_key: OPENAI_API_KEY + access_key: $OPENAI_API_KEY model: gpt-4o default: true stream: true @@ -47,7 +47,7 @@ llm_providers: - name: Mistral8x7b provider: mistral - access_key: MISTRAL_API_KEY + access_key: $MISTRAL_API_KEY model: mistral-8x7b - name: MistralLocal7b diff --git a/e2e_tests/common_scripts.sh b/e2e_tests/common_scripts.sh index 90d31603..7af88e89 100644 --- a/e2e_tests/common_scripts.sh +++ b/e2e_tests/common_scripts.sh @@ -6,6 +6,11 @@ log() { echo "$timestamp: $message" } +print_disk_usage() { + echo free disk space + df -h | grep "/$" +} + wait_for_healthz() { local healthz_url="$1" local timeout_seconds="${2:-30}" # Default timeout of 30 seconds @@ -28,6 +33,8 @@ wait_for_healthz() { return 1 fi + print_disk_usage + sleep $sleep_between done } diff --git a/e2e_tests/poetry.lock b/e2e_tests/poetry.lock index 68ebfcf5..def71119 100644 --- a/e2e_tests/poetry.lock +++ b/e2e_tests/poetry.lock @@ -455,13 +455,13 @@ files = [ [[package]] name = "pytest" -version = "7.4.4" +version = "8.3.3" description = "pytest: simple powerful testing with Python" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"}, - {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"}, + {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"}, + {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"}, ] [package.dependencies] @@ -469,11 +469,11 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""} exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} iniconfig = "*" packaging = "*" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] [[package]] name = "pytest-cov" @@ -493,6 +493,23 @@ pytest = ">=4.6" [package.extras] testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"] +[[package]] +name = "pytest-retry" +version = "1.6.3" +description = "Adds the ability to retry flaky tests in CI environments" +optional = false +python-versions = ">=3.9" +files = [ + {file = "pytest_retry-1.6.3-py3-none-any.whl", hash = "sha256:e96f7df77ee70b0838d1085f9c3b8b5b7d74bf8947a0baf32e2b8c71b27683c8"}, + {file = "pytest_retry-1.6.3.tar.gz", hash = "sha256:36ccfa11c8c8f9ddad5e20375182146d040c20c4a791745139c5a99ddf1b557d"}, +] + +[package.dependencies] +pytest = ">=7.0.0" + +[package.extras] +dev = ["black", "flake8", "isort", "mypy"] + [[package]] name = "pytest-sugar" version = "1.0.0" @@ -535,13 +552,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "selenium" -version = "4.25.0" +version = "4.26.0" description = "Official Python bindings for Selenium WebDriver" optional = false python-versions = ">=3.8" files = [ - {file = "selenium-4.25.0-py3-none-any.whl", hash = "sha256:3798d2d12b4a570bc5790163ba57fef10b2afee958bf1d80f2a3cf07c4141f33"}, - {file = "selenium-4.25.0.tar.gz", hash = "sha256:95d08d3b82fb353f3c474895154516604c7f0e6a9a565ae6498ef36c9bac6921"}, + {file = "selenium-4.26.0-py3-none-any.whl", hash = "sha256:48013f36e812de5b3948ef53d04e73f77bc923ee3e1d7d99eaf0618179081b99"}, + {file = "selenium-4.26.0.tar.gz", hash = "sha256:f0780f85f10310aa5d085b81e79d73d3c93b83d8de121d0400d543a50ee963e8"}, ] [package.dependencies] @@ -699,4 +716,4 @@ h11 = ">=0.9.0,<1" [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "6ae4fa6397091b87b63698201a08d7d97628ed65992d46514f118768b46b99ce" +content-hash = "a40015b90325879e50f82cca6a26a730d763cad26589671df798832d41c42db3" diff --git a/e2e_tests/pyproject.toml b/e2e_tests/pyproject.toml index 68724c18..8e800a8c 100644 --- a/e2e_tests/pyproject.toml +++ b/e2e_tests/pyproject.toml @@ -9,11 +9,12 @@ package-mode = false [tool.poetry.dependencies] python = "^3.10" -pytest = "^7.3.1" +pytest = "^8.3.3" requests = "^2.29.0" selenium = "^4.11.2" pytest-sugar = "^1.0.0" deepdiff = "^8.0.1" +pytest-retry = "^1.6.3" [tool.poetry.dev-dependencies] pytest-cov = "^4.1.0" @@ -21,3 +22,6 @@ pytest-cov = "^4.1.0" [tool.pytest.ini_options] python_files = ["test*.py"] addopts = ["-v", "-s"] +retries = 2 +retry_delay = 0.5 +cumulative_timing = false diff --git a/e2e_tests/run_e2e_tests.sh b/e2e_tests/run_e2e_tests.sh index 47f56459..33026744 100644 --- a/e2e_tests/run_e2e_tests.sh +++ b/e2e_tests/run_e2e_tests.sh @@ -4,6 +4,11 @@ set -e . ./common_scripts.sh +print_disk_usage + +mkdir -p ~/archgw_logs +touch ~/archgw_logs/modelserver.log + print_debug() { log "Received signal to stop" log "Printing debug logs for model_server" @@ -18,63 +23,62 @@ trap 'print_debug' INT TERM ERR log starting > ../build.log -log building function_callling demo -log =============================== +log building and running function_callling demo +log =========================================== cd ../demos/function_calling -docker compose build -q - -log starting the function_calling demo -docker compose up -d +docker compose up api_server --build -d cd - -log building model server -log ===================== +print_disk_usage + +log building and install model server +log ================================= cd ../model_server -poetry install 2>&1 >> ../build.log -log starting model server -log ===================== -mkdir -p ~/archgw_logs -touch ~/archgw_logs/modelserver.log -poetry run archgw_modelserver restart & +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 & model_server_tail_pid=$! +archgw down +archgw up demos/function_calling/arch_config.yaml +kill $model_server_tail_pid cd - -log building llm and prompt gateway rust modules -log ============================================ -cd ../arch -docker build -f Dockerfile .. -t katanemo/archgw -q -log starting the arch gateway service -log ================================= -docker compose -f docker-compose.e2e.yaml down -log waiting for model service to be healthy -wait_for_healthz "http://localhost:51000/healthz" 300 -kill $model_server_tail_pid -docker compose -f docker-compose.e2e.yaml up -d -log waiting for arch gateway service to be healthy -wait_for_healthz "http://localhost:10000/healthz" 60 -log waiting for arch gateway service to be healthy -cd - +print_disk_usage log running e2e tests log ================= -poetry install 2>&1 >> ../build.log +poetry install poetry run pytest log shutting down the arch gateway service log ====================================== -cd ../arch -docker compose -f docker-compose.e2e.yaml stop 2>&1 >> ../build.log +cd ../ +archgw down cd - log shutting down the function_calling demo log ======================================= cd ../demos/function_calling -docker compose down 2>&1 >> ../build.log -cd - - -log shutting down the model server -log ============================== -cd ../model_server -poetry run archgw_modelserver stop 2>&1 >> ../build.log +docker compose down cd - diff --git a/model_server/.vscode/launch.json b/model_server/.vscode/launch.json index 89f4c86c..dd045c6f 100644 --- a/model_server/.vscode/launch.json +++ b/model_server/.vscode/launch.json @@ -9,7 +9,7 @@ "type": "debugpy", "request": "launch", "module": "uvicorn", - "args": ["app.main:app","--reload", "--port", "8000"] + "args": ["app.main:app","--reload", "--port", "51000"] } ] } diff --git a/model_server/app/cli.py b/model_server/app/cli.py index 014608b0..ca1b3a0a 100644 --- a/model_server/app/cli.py +++ b/model_server/app/cli.py @@ -1,3 +1,4 @@ +import importlib import sys import os import time @@ -7,6 +8,15 @@ import tempfile import subprocess import logging + +def get_version(): + try: + version = importlib.metadata.version("archgw_modelserver") + return version + except importlib.metadata.PackageNotFoundError: + return "version not found" + + logging.basicConfig( level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", @@ -14,6 +24,7 @@ logging.basicConfig( log = logging.getLogger("model_server.cli") log.setLevel(logging.INFO) +log.info(f"model server version: {get_version()}") def run_server(port=51000): @@ -37,8 +48,9 @@ def run_server(port=51000): def start_server(port=51000): """Start the Uvicorn server""" log.info( - "Starting model server - loading some awesomeness, this may take some time :)" + "starting model server - loading some awesomeness, this may take some time :)" ) + process = subprocess.Popen( [ "python", @@ -61,7 +73,7 @@ def start_server(port=51000): log.info(f"Model server started with PID {process.pid}") else: # Add model_server boot-up logs - log.info("Model server - Didn't Sart In Time. Shutting Down") + log.info("model server - didn't start in time, shutting down") process.terminate() diff --git a/model_server/app/function_calling/model_utils.py b/model_server/app/function_calling/model_utils.py index 8448e0d4..c790e0ae 100644 --- a/model_server/app/function_calling/model_utils.py +++ b/model_server/app/function_calling/model_utils.py @@ -75,12 +75,16 @@ async def chat_completion(req: ChatMessage, res: Response): f"model_server => arch_function: {client_model_name}, messages: {json.dumps(messages)}" ) - resp = const.arch_function_client.chat.completions.create( - messages=messages, - model=client_model_name, - stream=True, - extra_body=const.arch_function_generation_params, - ) + try: + resp = const.arch_function_client.chat.completions.create( + messages=messages, + model=client_model_name, + stream=False, + extra_body=const.arch_function_generation_params, + ) + except Exception as e: + logger.error(f"model_server <= arch_function: error: {e}") + raise # Retrieve the first token, handling the Stream object carefully first_token_content = "" diff --git a/model_server/poetry.lock b/model_server/poetry.lock index 3ff7ad4d..36c09cd5 100644 --- a/model_server/poetry.lock +++ b/model_server/poetry.lock @@ -1,5 +1,16 @@ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +[[package]] +name = "absl-py" +version = "2.1.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +optional = false +python-versions = ">=3.7" +files = [ + {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, + {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, +] + [[package]] name = "accelerate" version = "1.0.1" @@ -201,6 +212,21 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", test = ["anyio[trio]", "coverage[toml] (>=7)", 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Labs, Inc "] license = "Apache 2.0"