From 94992e4555b3cd8ca755dd2d854f555db3d714ad Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 14:53:26 +0100 Subject: [PATCH 01/29] feat: enable Gemini and GKE support --- .env.example | 21 +- .typos.toml => .typos.yoml | 2 + build_push_docker.sh | 56 +- compose.ecr.yaml | 16 +- compose.gar.yaml | 72 ++ compose.tests.yaml | 2 +- compose.yaml | 2 +- credential_setup.py | 10 +- credential_setup_gcp.py | 67 ++ docs/credentials.md | 2 +- docs/gar-setup.md | 43 + docs/security-testing.md | 2 + pyproject.toml | 4 +- scripts/setup_gcp_credentials.sh | 24 + sre_agent/client/utils/schemas.py | 4 +- sre_agent/llm/pyproject.toml | 1 + sre_agent/llm/utils/clients.py | 34 +- uv.lock | 1413 ++++++++++++++++------------- 18 files changed, 1094 insertions(+), 681 deletions(-) rename .typos.toml => .typos.yoml (89%) create mode 100644 compose.gar.yaml create mode 100644 credential_setup_gcp.py create mode 100644 docs/gar-setup.md create mode 100755 scripts/setup_gcp_credentials.sh diff --git a/.env.example b/.env.example index 2bca7265..d9faa0d1 100644 --- a/.env.example +++ b/.env.example @@ -1,14 +1,23 @@ SLACK_BOT_TOKEN="YOUR SLACK BOT TOKEN" +SLACK_SIGNING_SECRET="YOUR SLACK SIGNING SECRET" SLACK_TEAM_ID="YOUR SLACK TEAM ID" +SLACK_CHANNEL_ID="YOUR CHANNEL ID" GITHUB_PERSONAL_ACCESS_TOKEN="YOUR GITHUB PERSONAL ACCESS TOKEN" -ANTHROPIC_API_KEY=YOUR ANTHROPIC API KEY -CHANNEL_ID="YOUR CHANNEL ID" -DEV_BEARER_TOKEN=YOUR DEV BEARER TOKEN -SLACK_SIGNING_SECRET="YOUR SLACK SIGNING SECRET" +GITHUB_ORGANISATION="YOUR GITHUB ORGANISATION" +GITHUB_REPO_NAME="YOUR GITHUB REPO NAME" +PROJECT_ROOT="THE PROJECT ROOT DIRECTORY" +LLM_PROVIDER="anthropic" +LLM_MODEL="claude-3-7-sonnet-latest" +ANTHROPIC_API_KEY="YOUR ANTHROPIC API KEY" +GEMINI_API_KEY="YOUR GEMINI API KEY" +HF_TOKEN="YOUR HUGGING FACE ACCESS TOKEN" +DEV_BEARER_TOKEN="YOUR DEV BEARER TOKEN" QUERY_TIMEOUT=300 -TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "list_pods"]' AWS_ACCOUNT_ID="YOUR AWS ACCOUNT ID" AWS_REGION="YOUR AWS REGION" TARGET_EKS_CLUSTER_NAME="YOUR TARGET EKS CLUSTER NAME" +CLOUDSDK_CORE_PROJECT="YOUR GCP PROJECT ID" +CLOUDSDK_COMPUTE_REGION="YOUR GCP COMPUTE REGION" +TARGET_GKE_CLUSTER_NAME="YOUR TARGET GKE CLUSTER NAME" SERVICES='["cartservice", "adservice", "emailservice"]' -HF_TOKEN="YOUR HUGGING FACE ACCESS TOKEN" +TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' diff --git a/.typos.toml b/.typos.yoml similarity index 89% rename from .typos.toml rename to .typos.yoml index d63e2515..30f58d76 100644 --- a/.typos.toml +++ b/.typos.yoml @@ -12,4 +12,6 @@ "colors" = "colors" "colorize" = "colorize" "Colored" = "Colored" +"COLORS" = "COLORS" "Authorization" = "Authorization" +"Artifact" = "Artifact" diff --git a/build_push_docker.sh b/build_push_docker.sh index 11a86087..5134ef21 100755 --- a/build_push_docker.sh +++ b/build_push_docker.sh @@ -2,15 +2,51 @@ set -euo pipefail source .env -: "${AWS_ACCOUNT_ID:?Environment variable AWS_ACCOUNT_ID not set}" -: "${AWS_REGION:?Environment variable AWS_REGION not set}" +usage() +{ + echo "usage: <--aws|--gcp>" +} + +if [[ $@ == "" ]]; then + echo "No arguments were passed" + usage + exit 1 +fi + +for arg in "$@"; do + shift + case "$arg" in + '--aws') CLOUD_PROVIDER="AWS" ;; + '--gcp') CLOUD_PROVIDER="GCP" ;; + *) CLOUD_PROVIDER="UNKNOWN" ;; + esac +done + +if [[ $CLOUD_PROVIDER == "AWS" ]]; then + : "${AWS_ACCOUNT_ID:?Environment variable AWS_ACCOUNT_ID not set}" + : "${AWS_REGION:?Environment variable AWS_REGION not set}" + + echo "Account ID: $AWS_ACCOUNT_ID" + echo "Region: $AWS_REGION" + + echo "Authenticating with ECR." + aws ecr get-login-password --region "$AWS_REGION" | \ + docker login --username AWS --password-stdin "${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com" +elif [[ $CLOUD_PROVIDER == "GCP" ]]; then + : "${CLOUDSDK_CORE_PROJECT:?Environment variable CLOUDSDK_CORE_PROJECT not set}" + : "${CLOUDSDK_COMPUTE_REGION:?Environment variable CLOUDSDK_COMPUTE_REGION not set}" + + echo "Project ID: $CLOUDSDK_CORE_PROJECT" + echo "Region: $CLOUDSDK_COMPUTE_REGION" -echo "Account ID: $AWS_ACCOUNT_ID" -echo "Region: $AWS_REGION" + echo "Authenticating with GAR." -echo "Authenticating with ECR." -aws ecr get-login-password --region "$AWS_REGION" | \ - docker login --username AWS --password-stdin "${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com" + gcloud auth configure-docker "${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev" --quiet +else + echo "Unknown cloud provider" + usage + exit 1 +fi build_and_push() { local name=$1 @@ -20,7 +56,11 @@ build_and_push() { echo "Building ${name} MCP Server." docker build -t mcp/${name} -f ${dockerfile} ${context} --platform linux/amd64 - local image_tag="${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/${name}:dev" + if [[ $CLOUD_PROVIDER == "AWS" ]]; then + local image_tag="${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/${name}:dev" + else + local image_tag="${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/${name}:dev" + fi docker tag mcp/${name}:latest "${image_tag}" echo "Pushing ${name} MCP Server to ECR." diff --git a/compose.ecr.yaml b/compose.ecr.yaml index c40ea224..8c6a0dd7 100644 --- a/compose.ecr.yaml +++ b/compose.ecr.yaml @@ -17,7 +17,7 @@ services: environment: - TRANSPORT=SSE - AWS_REGION=${AWS_REGION} - - TARGET_EKS_CLUSTER_NAME=no-loafers-for-you + - TARGET_EKS_CLUSTER_NAME=${TARGET_EKS_CLUSTER_NAME} healthcheck: test: ["CMD", "nc", "-z", "localhost", "3001"] interval: 5s @@ -36,9 +36,9 @@ services: prompt-server: image: ${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/prompt-server:latest environment: - - GITHUB_ORGANISATION=fuzzylabs - - GITHUB_REPO_NAME=microservices-demo - - PROJECT_ROOT=src + - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} + - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} + - PROJECT_ROOT=${PROJECT_ROOT} healthcheck: test: ["CMD", "nc", "-z", "localhost", "3001"] interval: 5s @@ -48,8 +48,8 @@ services: llm-server: image: ${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/llm-server:latest environment: - - PROVIDER=anthropic - - MODEL=claude-3-7-sonnet-latest + - PROVIDER=${LLM_PROVIDER} + - MODEL=${LLM_MODEL} - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} healthcheck: @@ -66,7 +66,7 @@ services: - DEV_BEARER_TOKEN=${DEV_BEARER_TOKEN} - QUERY_TIMEOUT=300 - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} - - TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' - - CHANNEL_ID=${CHANNEL_ID} + - TOOLS=${TOOLS} + - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - HF_TOKEN=${HF_TOKEN} diff --git a/compose.gar.yaml b/compose.gar.yaml new file mode 100644 index 00000000..3765af26 --- /dev/null +++ b/compose.gar.yaml @@ -0,0 +1,72 @@ +services: + slack: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/slack:latest + environment: + - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} + - SLACK_TEAM_ID=${SLACK_TEAM_ID} + - TRANSPORT=SSE + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + kubernetes: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/kubernetes:latest + volumes: + - ~/.aws:/home/appuser/.aws + environment: + - TRANSPORT=SSE + - CLOUDSDK_COMPUTE_REGION=${CLOUDSDK_COMPUTE_REGION} + - TARGET_GKE_CLUSTER_NAME=${TARGET_GKE_CLUSTER_NAME} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + github: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/github:latest + environment: + - GITHUB_PERSONAL_ACCESS_TOKEN=${GITHUB_PERSONAL_ACCESS_TOKEN} + - TRANSPORT=SSE + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + prompt-server: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/prompt-server:latest + environment: + - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} + - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} + - PROJECT_ROOT=${PROJECT_ROOT} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + + llm-server: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/llm-server:latest + environment: + - PROVIDER=${LLM_PROVIDER} + - MODEL=${LLM_MODEL} + - MAX_TOKENS=1000 + - GEMINI_API_KEY=${GEMINI_API_KEY} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "8000"] + interval: 5s + timeout: 3s + retries: 5 + + orchestrator: + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/sre-orchestrator:latest + ports: + - "8003:80" + environment: + - DEV_BEARER_TOKEN=${DEV_BEARER_TOKEN} + - QUERY_TIMEOUT=300 + - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} + - TOOLS=${TOOLS} + - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} + - SERVICES=${SERVICES} + - HF_TOKEN=${HF_TOKEN} diff --git a/compose.tests.yaml b/compose.tests.yaml index 6f190cb4..2a621bea 100644 --- a/compose.tests.yaml +++ b/compose.tests.yaml @@ -54,5 +54,5 @@ services: - QUERY_TIMEOUT=300 - SLACK_SIGNING_SECRET=null - TOOLS=["list_pods", "get_logs", "get_file_contents", "slack_post_message"] - - CHANNEL_ID=null + - SLACK_CHANNEL_ID=null - SERVICES=["cartservice", "adservice", "emailservice"] diff --git a/compose.yaml b/compose.yaml index 799c4104..5815095a 100644 --- a/compose.yaml +++ b/compose.yaml @@ -95,6 +95,6 @@ services: - QUERY_TIMEOUT=300 - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} - TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' - - CHANNEL_ID=${CHANNEL_ID} + - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - HF_TOKEN=${HF_TOKEN} diff --git a/credential_setup.py b/credential_setup.py index 46a4d574..867ec7e3 100644 --- a/credential_setup.py +++ b/credential_setup.py @@ -13,10 +13,15 @@ def main() -> None: "out this article https://api.slack.com/apps to create one: " ), "SLACK_TEAM_ID": input("Enter your Slack Team ID: "), - "CHANNEL_ID": input("Enter your Slack Channel ID: "), + "SLACK_CHANNEL_ID": input("Enter your Slack Channel ID: "), "GITHUB_PERSONAL_ACCESS_TOKEN": getpass( "Enter your Github Personal Access Token: " ), + "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), + "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), + "PROJECT_ROOT": getpass("Enter your Github project root directory: "), + "LLM_PROVIDER": getpass("Enter your LLM provider name: "), + "LLM_MODEL": getpass("Enter your LLM model name: "), "ANTHROPIC_API_KEY": getpass("Enter your Anthropic API Key: "), "DEV_BEARER_TOKEN": getpass( "Enter a bearer token (password) for developers to directly invoke the " @@ -37,6 +42,9 @@ def main() -> None: "Enter the services running on the cluster (comma-separated): " ).split(",") ), + "TOOLS": str( + input("Enter the tools you want to utilise (comma-separated): ").split(",") + ), "HF_TOKEN": getpass( "Enter your Hugging Face API token, ensure this has read access to " "https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M, read the " diff --git a/credential_setup_gcp.py b/credential_setup_gcp.py new file mode 100644 index 00000000..8dab921f --- /dev/null +++ b/credential_setup_gcp.py @@ -0,0 +1,67 @@ +"""A script for creating a credentials file with secrets.""" + +from getpass import getpass + + +def main() -> None: + """The main function for creating a credentials file with secrets.""" + print("Let's populate your credentials file.") + + secrets = { + "SLACK_BOT_TOKEN": getpass( + "Enter your Slack Bot Token. If you haven’t set up a Slack app yet, check " + "out this article https://api.slack.com/apps to create one: " + ), + "SLACK_SIGNING_SECRET": getpass( + "Enter the signing secret associated with the Slack `sre-agent` " + "application: " + ), + "SLACK_TEAM_ID": input("Enter your Slack Team ID: "), + "SLACK_CHANNEL_ID": input("Enter your Slack Channel ID: "), + "GITHUB_PERSONAL_ACCESS_TOKEN": getpass( + "Enter your Github Personal Access Token: " + ), + "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), + "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), + "PROJECT_ROOT": getpass("Enter your Github project root directory: "), + "LLM_PROVIDER": getpass("Enter your LLM provider name: "), + "LLM_MODEL": getpass("Enter your LLM model name: "), + "GEMINI_API_KEY": getpass("Enter your Gemini API Key: "), + "DEV_BEARER_TOKEN": getpass( + "Enter a bearer token (password) for developers to directly invoke the " + "agent via the `/diagnose` endpoint. (This can be anything): " + ), + "QUERY_TIMEOUT": input("Enter your query timeout (e.g. 300): "), + "CLOUDSDK_CORE_PROJECT": input("Enter your GCP region: "), + "CLOUDSDK_COMPUTE_REGION": input("Enter your GCP project ID: "), + "TARGET_GKE_CLUSTER_NAME": input( + "Enter your target GKE cluster name (the cluster the agent will interact " + "with): " + ), + "SERVICES": str( + input( + "Enter the services running on the cluster (comma-separated): " + ).split(",") + ), + "TOOLS": str( + input("Enter the tools you want to utilise (comma-separated): ").split(",") + ), + "HF_TOKEN": getpass( + "Enter your Hugging Face API token, ensure this has read access to " + "https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M, read the " + "following article (https://huggingface.co/docs/hub/en/security-tokens) " + "to set up this token: " + ), + } + + env_lines = [f"{key}={value}" for key, value in secrets.items()] + filename = ".env" + + with open(filename, "w") as f: + f.write("\n".join(env_lines)) + + print(".env file created successfully.") + + +if __name__ == "__main__": + main() diff --git a/docs/credentials.md b/docs/credentials.md index f45b088f..3358db81 100644 --- a/docs/credentials.md +++ b/docs/credentials.md @@ -5,7 +5,7 @@ The following credentials must be retrieved prior to running the agent. These cr - SLACK_BOT_TOKEN: The token for the sre-agent Slack bot. If you haven’t set up a Slack app yet, check out this [page](https://api.slack.com/quickstart) to create one. - SLACK_TEAM_ID: The ID of the Slack team where the agent operates. - SLACK_SIGNING_SECRET: The signing secret associated with the Slack sre-agent application. -- CHANNEL_ID: The specific Slack channel ID for the agent's responses. +- SLACK_CHANNEL_ID: The specific Slack channel ID for the agent's responses. - GITHUB_PERSONAL_ACCESS_TOKEN: A GitHub personal access token with permissions to read relevant files. - ANTHROPIC_API_KEY: An API key for Anthropic, used for processing tool requests. - DEV_BEARER_TOKEN: A bearer token (password) for developers to directly invoke the agent via the `/diagnose` endpoint. (This can be anything) diff --git a/docs/gar-setup.md b/docs/gar-setup.md new file mode 100644 index 00000000..4d75cea5 --- /dev/null +++ b/docs/gar-setup.md @@ -0,0 +1,43 @@ +# GAR set-up + +> [!WARNING] +> This is intended for development use only. Production images are built and pushed automatically via GitHub action after changes are approved and merged into the main branch. + +Instead of accessing Docker images locally, you can retrieve them from GAR (Google Artifact Registry) on GCP. To set this up you will need: + +1. GAR enabled in your GCP account +2. A private/public GAR repository for your MCP Servers, for example create a repo named `mcp` either through the UI, CLI, or Terraform. This repo currently stores the following images: + +```shell +`mcp/github` +`mcp/kubernetes` +`mcp/slack` +`mcp/sre-orchestrator` +`mcp/prompt-server` +`mcp/llm-server +``` + +3. Set the following AWS environment variables and ensure you have your AWS credentials set to access the ECR: + +```shell +export CLOUDSDK_CORE_PROJECT= +export CLOUDSDK_COMPUTE_REGION= +``` + +Then run the `build_push_docker.sh` script to build and push the Docker images for each of the MCP servers: + +```shell +bash build_push_docker.sh +``` + +Once this is done, you can access and pull the images from the following location: + +```shell +${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/${name}:latest +``` + +For example, the Slack MCP server image location could look like: + +```shell +europe-west2-docker.pkg.dev/test-project-id/mcp/slack:latest +``` diff --git a/docs/security-testing.md b/docs/security-testing.md index f076c8b1..a70267cb 100644 --- a/docs/security-testing.md +++ b/docs/security-testing.md @@ -9,11 +9,13 @@ docker compose -f compose.tests.yaml up --build ``` Then, in a separate terminal, run the security tests: + ```bash uv run pytest tests/security_tests ``` We are currently testing for the following vulnerabilities: + - [X] Prompt Injection via `/diagnose` endpoint - [X] Prompt Injection via Kubernetes logs - [ ] Prompt Injection via application diff --git a/pyproject.toml b/pyproject.toml index 084ee8e7..838b3ec9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,9 @@ description = "Template description package." authors = [{ name = "Fuzzy Labs", email = "info@fuzzylabs.ai" }] readme = "README.md" requires-python = ">=3.12,<4.0" -dependencies = [] +dependencies = [ + "google-genai>=1.19.0", +] [dependency-groups] ci = [ diff --git a/scripts/setup_gcp_credentials.sh b/scripts/setup_gcp_credentials.sh new file mode 100755 index 00000000..1917a1ed --- /dev/null +++ b/scripts/setup_gcp_credentials.sh @@ -0,0 +1,24 @@ +#!/bin/bash +set -euo pipefail +source .env + +echo "🔑 Setting up GCP credentials..." + +# Run gcloud auth login command +echo "Running gcloud auth login" +gcloud auth login + +# Determine the authenticated user +echo "Authenticated as:" +gcloud auth list --format="value(account)" + +# Get the GKE cluster credentials +echo "Getting cluster credentials..." +gcloud container clusters get-credentials ${TARGET_GKE_CLUSTER_NAME} --region ${CLOUDSDK_COMPUTE_REGION} --project ${CLOUDSDK_CORE_PROJECT} + +# Determine the cluster info +echo "Cluster details:" +kubectl cluster-info + +# Done +echo "✅ GCP credentials have been successfully configured!" diff --git a/sre_agent/client/utils/schemas.py b/sre_agent/client/utils/schemas.py index 6b24780f..0a74a18e 100644 --- a/sre_agent/client/utils/schemas.py +++ b/sre_agent/client/utils/schemas.py @@ -64,11 +64,11 @@ def __post_init__(self) -> None: class ClientConfig: """A client config storing parsed env variables.""" - channel_id: str = os.getenv("CHANNEL_ID", "") + channel_id: str = os.getenv("SLACK_CHANNEL_ID", "") tools: list[str] = field( default_factory=lambda: json.loads(os.getenv("TOOLS", "[]")) ) - model: str = "claude-3-7-sonnet-latest" + model: str = os.getenv("LLM_MODEL", "claude-3-7-sonnet-latest") max_tokens: int = 1000 max_tool_retries: int = 3 query_timeout: int = int( diff --git a/sre_agent/llm/pyproject.toml b/sre_agent/llm/pyproject.toml index bbda2538..1c451652 100644 --- a/sre_agent/llm/pyproject.toml +++ b/sre_agent/llm/pyproject.toml @@ -5,6 +5,7 @@ description = "A text generation service." requires-python = ">=3.12, <4.0" dependencies = [ "anthropic>=0.49.0", + "google-genai>=1.19.0", "fastapi>=0.115.12", "mcp[cli]>=1.6.0", "pydantic>=2.11.3", diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index 98128491..7746ad0b 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -1,5 +1,6 @@ """A collection of clients for performing text generation.""" +import os from abc import ABC, abstractmethod from typing import cast @@ -11,6 +12,8 @@ Usage, ) from anthropic.types.message_param import MessageParam +from google import genai +from google.genai import types from mcp import Tool from pydantic import BaseModel from utils.logger import logger # type: ignore @@ -153,9 +156,38 @@ def generate(self, payload: TextGenerationPayload) -> Message: class GeminiClient(BaseClient): """A client for performing text generation using the Gemeni client.""" + def __init__(self, settings: LLMSettings = LLMSettings()) -> None: + """The constructor for the Gemini client.""" + super().__init__(settings) + self.client = genai.Client(api_key=os.getenv("GEMINI_API_KEY")) + def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" - raise NotImplementedError + # tools = self.cache_tools(payload.tools) + # messages = self.cache_messages(payload.messages) + + if not self.settings.max_tokens: + raise ValueError("Max tokens configuration has not been set.") + + response = self.client.models.generate_content( + model=self.settings.model, + contents=payload.messages, + config=types.GenerateContentConfig( + tools=payload.tools, + max_output_tokens=self.settings.max_tokens, + temperature=0.1, + ), + ) + + logger.info( + f"Token usage - Input: {response.usage_metadata.prompt_token_count}, " + f"Output: {response.usage_metadata.candidates_token_count}, " + f"Cache: {response.usage_metadata.cached_content_token_count}, " + f"Tools: {response.usage_metadata.tool_use_prompt_token_count}, " + f"Total: {response.usage_metadata.total_token_count}" + ) + + return response class SelfHostedClient(BaseClient): diff --git a/uv.lock b/uv.lock index 23a460ae..fe4d7150 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 2 requires-python = ">=3.12, <4.0" [manifest] @@ -14,9 +14,9 @@ members = [ name = "annotated-types" version = "0.7.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = 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b/.env.example index d9faa0d1..4db4656f 100644 --- a/.env.example +++ b/.env.example @@ -6,8 +6,8 @@ GITHUB_PERSONAL_ACCESS_TOKEN="YOUR GITHUB PERSONAL ACCESS TOKEN" GITHUB_ORGANISATION="YOUR GITHUB ORGANISATION" GITHUB_REPO_NAME="YOUR GITHUB REPO NAME" PROJECT_ROOT="THE PROJECT ROOT DIRECTORY" -LLM_PROVIDER="anthropic" -LLM_MODEL="claude-3-7-sonnet-latest" +PROVIDER="anthropic" +MODEL="claude-3-7-sonnet-latest" ANTHROPIC_API_KEY="YOUR ANTHROPIC API KEY" GEMINI_API_KEY="YOUR GEMINI API KEY" HF_TOKEN="YOUR HUGGING FACE ACCESS TOKEN" diff --git a/.typos.yoml b/.typos.toml similarity index 95% rename from .typos.yoml rename to .typos.toml index 30f58d76..00de7baf 100644 --- a/.typos.yoml +++ b/.typos.toml @@ -12,6 +12,5 @@ "colors" = "colors" "colorize" = "colorize" "Colored" = "Colored" -"COLORS" = "COLORS" "Authorization" = "Authorization" "Artifact" = "Artifact" diff --git a/compose.ecr.yaml b/compose.ecr.yaml index 8c6a0dd7..38428117 100644 --- a/compose.ecr.yaml +++ b/compose.ecr.yaml @@ -48,8 +48,8 @@ services: llm-server: image: ${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/llm-server:latest environment: - - PROVIDER=${LLM_PROVIDER} - - MODEL=${LLM_MODEL} + - PROVIDER=${PROVIDER} + - MODEL=${MODEL} - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} healthcheck: diff --git a/compose.gar.yaml b/compose.gar.yaml index 3765af26..509695e1 100644 --- a/compose.gar.yaml +++ b/compose.gar.yaml @@ -48,8 +48,8 @@ services: llm-server: image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/llm-server:latest environment: - - PROVIDER=${LLM_PROVIDER} - - MODEL=${LLM_MODEL} + - PROVIDER=${PROVIDER} + - MODEL=${MODEL} - MAX_TOKENS=1000 - GEMINI_API_KEY=${GEMINI_API_KEY} healthcheck: diff --git a/credential_setup.py b/credential_setup.py index 867ec7e3..ab935197 100644 --- a/credential_setup.py +++ b/credential_setup.py @@ -20,8 +20,8 @@ def main() -> None: "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), "PROJECT_ROOT": getpass("Enter your Github project root directory: "), - "LLM_PROVIDER": getpass("Enter your LLM provider name: "), - "LLM_MODEL": getpass("Enter your LLM model name: "), + "PROVIDER": getpass("Enter your LLM provider name: "), + "MODEL": getpass("Enter your LLM model name: "), "ANTHROPIC_API_KEY": getpass("Enter your Anthropic API Key: "), "DEV_BEARER_TOKEN": getpass( "Enter a bearer token (password) for developers to directly invoke the " diff --git a/credential_setup_gcp.py b/credential_setup_gcp.py index 8dab921f..305f4ca4 100644 --- a/credential_setup_gcp.py +++ b/credential_setup_gcp.py @@ -24,8 +24,8 @@ def main() -> None: "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), "PROJECT_ROOT": getpass("Enter your Github project root directory: "), - "LLM_PROVIDER": getpass("Enter your LLM provider name: "), - "LLM_MODEL": getpass("Enter your LLM model name: "), + "PROVIDER": getpass("Enter your LLM provider name: "), + "MODEL": getpass("Enter your LLM model name: "), "GEMINI_API_KEY": getpass("Enter your Gemini API Key: "), "DEV_BEARER_TOKEN": getpass( "Enter a bearer token (password) for developers to directly invoke the " From d59ccba960060f39713201175cec744c11bf254c Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 15:53:32 +0100 Subject: [PATCH 03/29] chore: update references to Claude and Anthropic --- sre_agent/client/client.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/sre_agent/client/client.py b/sre_agent/client/client.py index d048fd22..028542db 100644 --- a/sre_agent/client/client.py +++ b/sre_agent/client/client.py @@ -35,7 +35,7 @@ class MCPClient: """An MCP client for connecting to a server using SSE transport.""" def __init__(self) -> None: - """Initialise the MCP client and set up the Anthropic API client.""" + """Initialise the MCP client and set up the LLM API client.""" self.sessions: dict[MCPServer, ServerSession] = {} self.messages: list[dict[str, Any]] = [] self.stop_reason: str | None = None @@ -123,7 +123,7 @@ async def _get_prompt(self, service: str, channel_id: str) -> PromptMessage: async def process_query( # noqa: C901, PLR0912, PLR0915 self, service: str, channel_id: str ) -> dict[str, Any]: - """Process a query using Claude and available tools.""" + """Process a query using an LLM and available tools.""" query = await self._get_prompt(service, channel_id) logger.info(f"Processing query: {query}...") start_time = time.perf_counter() @@ -157,8 +157,8 @@ async def process_query( # noqa: C901, PLR0912, PLR0915 self.stop_reason != "end_turn" and tool_retries < _get_client_config().max_tool_retries ): - logger.info("Sending request to Claude") - claude_start_time = time.perf_counter() + logger.info("Sending request to the LLM") + llm_start_time = time.perf_counter() payload = {"messages": self.messages, "tools": available_tools} @@ -170,8 +170,8 @@ async def process_query( # noqa: C901, PLR0912, PLR0915 logger.debug(response) - claude_duration = time.perf_counter() - claude_start_time - logger.info(f"Claude request took {claude_duration:.2f} seconds") + llm_duration = time.perf_counter() - llm_start_time + logger.info(f"LLM request took {llm_duration:.2f} seconds") self.stop_reason = response["stop_reason"] # Track token usage from this response @@ -192,11 +192,11 @@ async def process_query( # noqa: C901, PLR0912, PLR0915 for content in response["content"]: if content["type"] == "text": final_text.append(content["text"]) - logger.debug(f"Claude response: {content['text']}") + logger.debug(f"LLM response: {content['text']}") elif content["type"] == "tool_use": tool_name = content["name"] tool_args = content["input"] - logger.info(f"Claude requested to use tool: {tool_name}") + logger.info(f"LLM requested to use tool: {tool_name}") if await self._run_firewall_check( f"Calling tool {tool_name} with args: {tool_args}", is_tool=True From cfbbc0aaca71188691597a9da6999e2b6377889b Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 17:42:44 +0100 Subject: [PATCH 04/29] chore: enable gke cluster credentials in kubernetes MCP server --- compose.gar.yaml | 16 +++++++++------- .../servers/mcp-server-kubernetes/Dockerfile | 2 +- .../servers/mcp-server-kubernetes/startup.sh | 18 ++++++++++++++---- 3 files changed, 24 insertions(+), 12 deletions(-) mode change 100644 => 100755 sre_agent/servers/mcp-server-kubernetes/startup.sh diff --git a/compose.gar.yaml b/compose.gar.yaml index 509695e1..2b210bf9 100644 --- a/compose.gar.yaml +++ b/compose.gar.yaml @@ -1,6 +1,6 @@ services: slack: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/slack:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/slack:dev environment: - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} - SLACK_TEAM_ID=${SLACK_TEAM_ID} @@ -11,12 +11,14 @@ services: timeout: 3s retries: 5 kubernetes: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/kubernetes:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/kubernetes:dev volumes: - - ~/.aws:/home/appuser/.aws + - ~/.config/gcloud:/home/appuser/.config/gcloud environment: - TRANSPORT=SSE + - CLOUDSDK_CORE_PROJECT=${CLOUDSDK_CORE_PROJECT} - CLOUDSDK_COMPUTE_REGION=${CLOUDSDK_COMPUTE_REGION} + - GOOGLE_APPLICATION_CREDENTIALS=/home/appuser/.config/gcloud/application_default_credentials.json - TARGET_GKE_CLUSTER_NAME=${TARGET_GKE_CLUSTER_NAME} healthcheck: test: ["CMD", "nc", "-z", "localhost", "3001"] @@ -24,7 +26,7 @@ services: timeout: 3s retries: 5 github: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/github:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/github:dev environment: - GITHUB_PERSONAL_ACCESS_TOKEN=${GITHUB_PERSONAL_ACCESS_TOKEN} - TRANSPORT=SSE @@ -34,7 +36,7 @@ services: timeout: 3s retries: 5 prompt-server: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/prompt-server:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/prompt-server:dev environment: - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} @@ -46,7 +48,7 @@ services: retries: 5 llm-server: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/llm-server:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/llm-server:dev environment: - PROVIDER=${PROVIDER} - MODEL=${MODEL} @@ -59,7 +61,7 @@ services: retries: 5 orchestrator: - image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/sre-orchestrator:latest + image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/sre-orchestrator:dev ports: - "8003:80" environment: diff --git a/sre_agent/servers/mcp-server-kubernetes/Dockerfile b/sre_agent/servers/mcp-server-kubernetes/Dockerfile index 3edb7270..40b6f8c9 100644 --- a/sre_agent/servers/mcp-server-kubernetes/Dockerfile +++ b/sre_agent/servers/mcp-server-kubernetes/Dockerfile @@ -14,7 +14,7 @@ RUN chmod 644 /etc/apt/sources.list.d/kubernetes.list RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | gpg --dearmor -o /usr/share/keyrings/cloud.google.gpg RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list RUN apt-get update -RUN apt-get update && apt-get install -y kubectl awscli netcat-openbsd +RUN apt-get update && apt-get install -y awscli google-cloud-cli google-cloud-cli-gke-gcloud-auth-plugin kubectl netcat-openbsd # Build the typescript code FROM base AS dependencies diff --git a/sre_agent/servers/mcp-server-kubernetes/startup.sh b/sre_agent/servers/mcp-server-kubernetes/startup.sh old mode 100644 new mode 100755 index 10bdcc45..a431eaa6 --- a/sre_agent/servers/mcp-server-kubernetes/startup.sh +++ b/sre_agent/servers/mcp-server-kubernetes/startup.sh @@ -1,4 +1,4 @@ -#!/bin/bash +#!/usr/bin/env bash set -euo pipefail function log_error_and_exit { @@ -7,9 +7,19 @@ function log_error_and_exit { exit 1 } -echo "🔧 Updating kubeconfig for EKS cluster..." -if ! output=$(aws eks update-kubeconfig --region $AWS_REGION --name $TARGET_EKS_CLUSTER_NAME 2>&1); then - log_error_and_exit "$output" +if [[ -v AWS_REGION ]]; then + echo "🔧 Updating kubeconfig for EKS cluster..." + if ! output=$(aws eks update-kubeconfig --region $AWS_REGION --name $TARGET_EKS_CLUSTER_NAME 2>&1); then + log_error_and_exit "$output" + fi +elif [[ -v CLOUDSDK_COMPUTE_REGION ]]; then + echo "🔧 Updating kubeconfig for GKE cluster..." + if ! output=$(gcloud container clusters get-credentials $TARGET_GKE_CLUSTER_NAME --region $CLOUDSDK_COMPUTE_REGION --project $CLOUDSDK_CORE_PROJECT 2>&1); then + log_error_and_exit "$output" + fi +else + echo "❌ No supported environment variables not found" + exit 1 fi echo "✅ Kubeconfig updated successfully." From ac35913622c660e328e4ddf5876a9b42af859214 Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 19:33:46 +0100 Subject: [PATCH 05/29] chore: update variables and add gcp compose file --- compose.gcp.yaml | 102 +++++++++++++++++++++++++++++++++++++++++++++++ compose.yaml | 12 +++--- 2 files changed, 108 insertions(+), 6 deletions(-) create mode 100644 compose.gcp.yaml diff --git a/compose.gcp.yaml b/compose.gcp.yaml new file mode 100644 index 00000000..3f04bfde --- /dev/null +++ b/compose.gcp.yaml @@ -0,0 +1,102 @@ +services: + slack: + build: + context: sre_agent + dockerfile: servers/slack/Dockerfile + environment: + - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} + - SLACK_TEAM_ID=${SLACK_TEAM_ID} + - TRANSPORT=SSE + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + + kubernetes: + build: + context: sre_agent/servers/mcp-server-kubernetes + dockerfile: Dockerfile + volumes: + - ~/.config/gcloud:/home/appuser/.config/gcloud + + environment: + - TRANSPORT=SSE + - CLOUDSDK_CORE_PROJECT=${CLOUDSDK_CORE_PROJECT} + - CLOUDSDK_COMPUTE_REGION=${CLOUDSDK_COMPUTE_REGION} + - GOOGLE_APPLICATION_CREDENTIALS=/home/appuser/.config/gcloud/application_default_credentials.json + - TARGET_GKE_CLUSTER_NAME=${TARGET_GKE_CLUSTER_NAME} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + github: + build: + context: sre_agent + dockerfile: servers/github/Dockerfile + environment: + - GITHUB_PERSONAL_ACCESS_TOKEN=${GITHUB_PERSONAL_ACCESS_TOKEN} + - TRANSPORT=SSE + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + + prompt-server: + build: + context: . + dockerfile: sre_agent/servers/prompt_server/Dockerfile + environment: + - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} + - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} + - PROJECT_ROOT=${PROJECT_ROOT} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 5s + timeout: 3s + retries: 5 + + llm-server: + build: + context: . + dockerfile: sre_agent/llm/Dockerfile + environment: + - PROVIDER=${PROVIDER} + - MODEL=${MODEL} + - MAX_TOKENS=1000 + - GEMINI_API_KEY=${GEMINI_API_KEY} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "8000"] + interval: 5s + timeout: 3s + retries: 5 + + orchestrator: + build: + context: . + dockerfile: sre_agent/client/Dockerfile + ports: + - "8003:80" + + depends_on: + slack: + condition: service_healthy + github: + condition: service_healthy + kubernetes: + condition: service_healthy + prompt-server: + condition: service_healthy + llm-server: + condition: service_healthy + + environment: + - DEV_BEARER_TOKEN=${DEV_BEARER_TOKEN} + - QUERY_TIMEOUT=300 + - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} + - TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' + - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} + - SERVICES=${SERVICES} + - HF_TOKEN=${HF_TOKEN} diff --git a/compose.yaml b/compose.yaml index 5815095a..2d81910d 100644 --- a/compose.yaml +++ b/compose.yaml @@ -47,9 +47,9 @@ services: context: . dockerfile: sre_agent/servers/prompt_server/Dockerfile environment: - - GITHUB_ORGANISATION=fuzzylabs - - GITHUB_REPO_NAME=microservices-demo - - PROJECT_ROOT=src + - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} + - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} + - PROJECT_ROOT=${PROJECT_ROOT} healthcheck: test: ["CMD", "nc", "-z", "localhost", "3001"] interval: 5s @@ -61,8 +61,8 @@ services: context: . dockerfile: sre_agent/llm/Dockerfile environment: - - PROVIDER=anthropic - - MODEL=claude-3-7-sonnet-latest + - PROVIDER=${PROVIDER} + - MODEL=${MODEL} - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} healthcheck: @@ -94,7 +94,7 @@ services: - DEV_BEARER_TOKEN=${DEV_BEARER_TOKEN} - QUERY_TIMEOUT=300 - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} - - TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' + - TOOLS=${TOOLS} - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - HF_TOKEN=${HF_TOKEN} From 464b1027107746ed14827e5bfc34a3f5622531a8 Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 20:28:01 +0100 Subject: [PATCH 06/29] fix: use correct host for MCP Prompt Server --- compose.gcp.yaml | 2 +- pyproject.toml | 1 + sre_agent/servers/prompt_server/server.py | 1 + 3 files changed, 3 insertions(+), 1 deletion(-) diff --git a/compose.gcp.yaml b/compose.gcp.yaml index 3f04bfde..4ea47574 100644 --- a/compose.gcp.yaml +++ b/compose.gcp.yaml @@ -96,7 +96,7 @@ services: - DEV_BEARER_TOKEN=${DEV_BEARER_TOKEN} - QUERY_TIMEOUT=300 - SLACK_SIGNING_SECRET=${SLACK_SIGNING_SECRET} - - TOOLS='["list_pods", "get_logs", "get_file_contents", "slack_post_message", "create_issue"]' + - TOOLS=${TOOLS} - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - HF_TOKEN=${HF_TOKEN} diff --git a/pyproject.toml b/pyproject.toml index 838b3ec9..774109a5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -121,6 +121,7 @@ locale = "en-gb" # Bandit configuration [tool.bandit] exclude_dirs = [] +skips = ["B104"] [tool.bandit.assert_used] skips = ['*test.py', '*/test_*.py'] diff --git a/sre_agent/servers/prompt_server/server.py b/sre_agent/servers/prompt_server/server.py index 1a2e5c27..3c0b9f95 100644 --- a/sre_agent/servers/prompt_server/server.py +++ b/sre_agent/servers/prompt_server/server.py @@ -6,6 +6,7 @@ from utils.schemas import PromptServerConfig # type: ignore mcp = FastMCP("sre-agent-prompt") +mcp.settings.host = "0.0.0.0" mcp.settings.port = 3001 From 447bb116e6caceff5201dd022f4842363797c671 Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Fri, 6 Jun 2025 20:42:09 +0100 Subject: [PATCH 07/29] chore: fix licensecheck --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 0b977b71..d69b36cd 100644 --- a/Makefile +++ b/Makefile @@ -18,7 +18,7 @@ tests: ## Test the code with pytest .PHONY: license-check license-check: # Check that project dependencies all have licenses compatible with project LICENSE.txt (or lack thereof) - @licensecheck + @uv run licensecheck -l MIT .PHONY: help help: # Show help for each of the Makefile recipes. From c34d6591264125eb45ac240a50538144d5712a28 Mon Sep 17 00:00:00 2001 From: Steve Moss Date: Sat, 7 Jun 2025 13:40:16 +0100 Subject: [PATCH 08/29] chore: cache HF model on host and update slack_channel_id ref --- compose.ecr.yaml | 6 ++ compose.gar.yaml | 6 ++ compose.gcp.yaml | 6 ++ compose.tests.yaml | 6 ++ compose.yaml | 6 ++ sre_agent/client/client.py | 12 ++-- sre_agent/client/startup.sh | 6 +- sre_agent/client/utils/schemas.py | 2 +- sre_agent/llm/main.py | 2 +- sre_agent/servers/prompt_server/server.py | 4 +- sre_agent/servers/slack/README.md | 10 +-- sre_agent/servers/slack/index.ts | 80 +++++++++++------------ 12 files changed, 91 insertions(+), 55 deletions(-) diff --git a/compose.ecr.yaml b/compose.ecr.yaml index 38428117..3559a163 100644 --- a/compose.ecr.yaml +++ b/compose.ecr.yaml @@ -60,6 +60,12 @@ services: orchestrator: image: ${AWS_ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/mcp/sre-orchestrator:latest + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true ports: - "8003:80" environment: diff --git a/compose.gar.yaml b/compose.gar.yaml index 2b210bf9..f6d9fa6c 100644 --- a/compose.gar.yaml +++ b/compose.gar.yaml @@ -62,6 +62,12 @@ services: orchestrator: image: ${CLOUDSDK_COMPUTE_REGION}-docker.pkg.dev/${CLOUDSDK_CORE_PROJECT}/mcp/sre-orchestrator:dev + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true ports: - "8003:80" environment: diff --git a/compose.gcp.yaml b/compose.gcp.yaml index 4ea47574..ddb1e037 100644 --- a/compose.gcp.yaml +++ b/compose.gcp.yaml @@ -77,6 +77,12 @@ services: build: context: . dockerfile: sre_agent/client/Dockerfile + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true ports: - "8003:80" diff --git a/compose.tests.yaml b/compose.tests.yaml index 2a621bea..bcb658dc 100644 --- a/compose.tests.yaml +++ b/compose.tests.yaml @@ -46,6 +46,12 @@ services: build: context: . dockerfile: sre_agent/client/Dockerfile + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true ports: - "8003:80" diff --git a/compose.yaml b/compose.yaml index 2d81910d..0f638521 100644 --- a/compose.yaml +++ b/compose.yaml @@ -75,6 +75,12 @@ services: build: context: . dockerfile: sre_agent/client/Dockerfile + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true ports: - "8003:80" diff --git a/sre_agent/client/client.py b/sre_agent/client/client.py index 028542db..d0177ada 100644 --- a/sre_agent/client/client.py +++ b/sre_agent/client/client.py @@ -105,12 +105,13 @@ async def connect_to_sse_server(self, service: MCPServer) -> None: self.sessions[service] = ServerSession(tools=tools, session=session) - async def _get_prompt(self, service: str, channel_id: str) -> PromptMessage: + async def _get_prompt(self, service: str, slack_channel_id: str) -> PromptMessage: """A helper method for retrieving the prompt from the prompt server.""" prompt: GetPromptResult = await self.sessions[ MCPServer.PROMPT ].session.get_prompt( - "diagnose", arguments={"service": service, "channel_id": channel_id} + "diagnose", + arguments={"service": service, "slack_channel_id": slack_channel_id}, ) if isinstance(prompt.messages[0].content, TextContent): @@ -121,10 +122,10 @@ async def _get_prompt(self, service: str, channel_id: str) -> PromptMessage: ) async def process_query( # noqa: C901, PLR0912, PLR0915 - self, service: str, channel_id: str + self, service: str, slack_channel_id: str ) -> dict[str, Any]: """Process a query using an LLM and available tools.""" - query = await self._get_prompt(service, channel_id) + query = await self._get_prompt(service, slack_channel_id) logger.info(f"Processing query: {query}...") start_time = time.perf_counter() @@ -323,7 +324,8 @@ async def run_diagnosis_and_post(service: str) -> None: async def _run_diagnosis(mcp_client: MCPClient) -> dict[str, Any]: """Inner function to run the actual diagnosis query.""" result = await mcp_client.process_query( - service=service, channel_id=_get_client_config().channel_id + service=service, + slack_channel_id=_get_client_config().slack_channel_id, ) logger.info( diff --git a/sre_agent/client/startup.sh b/sre_agent/client/startup.sh index 54b46fcb..23922d6c 100644 --- a/sre_agent/client/startup.sh +++ b/sre_agent/client/startup.sh @@ -1,3 +1,5 @@ +echo "Saving llamafirewall model locally, please wait..." + python3 -c " from transformers import ( AutoModelForSequenceClassification, @@ -23,6 +25,8 @@ model.save_pretrained(model_path) tokenizer.save_pretrained(model_path) " +echo "... done!" + llamafirewall configure -uvicorn client:app --port 80 --host 0.0.0.0 +uvicorn client:app --port 80 --host 0.0.0.0 diff --git a/sre_agent/client/utils/schemas.py b/sre_agent/client/utils/schemas.py index 0a74a18e..f33ac8de 100644 --- a/sre_agent/client/utils/schemas.py +++ b/sre_agent/client/utils/schemas.py @@ -64,7 +64,7 @@ def __post_init__(self) -> None: class ClientConfig: """A client config storing parsed env variables.""" - channel_id: str = os.getenv("SLACK_CHANNEL_ID", "") + slack_channel_id: str = os.getenv("SLACK_CHANNEL_ID", "") tools: list[str] = field( default_factory=lambda: json.loads(os.getenv("TOOLS", "[]")) ) diff --git a/sre_agent/llm/main.py b/sre_agent/llm/main.py index d92c464b..6b800da1 100644 --- a/sre_agent/llm/main.py +++ b/sre_agent/llm/main.py @@ -62,6 +62,6 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[Any, Any]: @app.post("/generate") def generate(payload: TextGenerationPayload) -> Message: """An endpoint for generating text from messages and tools.""" - logger.debug(payload) + logger.debug(f"Payload: {payload}") return cast(Message, STATE["client"].generate(payload)) diff --git a/sre_agent/servers/prompt_server/server.py b/sre_agent/servers/prompt_server/server.py index 3c0b9f95..151197ec 100644 --- a/sre_agent/servers/prompt_server/server.py +++ b/sre_agent/servers/prompt_server/server.py @@ -16,7 +16,7 @@ def _get_prompt_server_config() -> PromptServerConfig: @mcp.prompt() -def diagnose(service: str, channel_id: str) -> str: +def diagnose(service: str, slack_channel_id: str) -> str: """Prompt the agent to perform a task.""" return f"""I have an error with my application, can you check the logs for the {service} service, I only want you to check the pods logs, look up only the 1000 @@ -31,7 +31,7 @@ def diagnose(service: str, channel_id: str) -> str: Please use the file contents to diagnose the error, then please create an issue in GitHub reporting a fix for the issue. Once you have diagnosed the error and created an -issue please report this to the following Slack channel: {channel_id}. +issue please report this to the following Slack channel: {slack_channel_id}. Please only do this ONCE, don't keep making issues or sending messages to Slack.""" diff --git a/sre_agent/servers/slack/README.md b/sre_agent/servers/slack/README.md index 09744cae..2ad8d17b 100644 --- a/sre_agent/servers/slack/README.md +++ b/sre_agent/servers/slack/README.md @@ -68,14 +68,14 @@ npm run watch 2. `slack_post_message` - Post a new message to a Slack channel - Required inputs: - - `channel_id` (string): The ID of the channel to post to + - `slack_channel_id` (string): The ID of the channel to post to - `text` (string): The message text to post - Returns: Message posting confirmation and timestamp 3. `slack_reply_to_thread` - Reply to a specific message thread - Required inputs: - - `channel_id` (string): The channel containing the thread + - `slack_channel_id` (string): The channel containing the thread - `thread_ts` (string): Timestamp of the parent message - `text` (string): The reply text - Returns: Reply confirmation and timestamp @@ -83,7 +83,7 @@ npm run watch 4. `slack_add_reaction` - Add an emoji reaction to a message - Required inputs: - - `channel_id` (string): The channel containing the message + - `slack_channel_id` (string): The channel containing the message - `timestamp` (string): Message timestamp to react to - `reaction` (string): Emoji name without colons - Returns: Reaction confirmation @@ -91,7 +91,7 @@ npm run watch 5. `slack_get_channel_history` - Get recent messages from a channel - Required inputs: - - `channel_id` (string): The channel ID + - `slack_channel_id` (string): The channel ID - Optional inputs: - `limit` (number, default: 10): Number of messages to retrieve - Returns: List of messages with their content and metadata @@ -99,7 +99,7 @@ npm run watch 6. `slack_get_thread_replies` - Get all replies in a message thread - Required inputs: - - `channel_id` (string): The channel containing the thread + - `slack_channel_id` (string): The channel containing the thread - `thread_ts` (string): Timestamp of the parent message - Returns: List of replies with their content and metadata diff --git a/sre_agent/servers/slack/index.ts b/sre_agent/servers/slack/index.ts index ff5a3c73..9b845889 100644 --- a/sre_agent/servers/slack/index.ts +++ b/sre_agent/servers/slack/index.ts @@ -18,29 +18,29 @@ interface ListChannelsArgs { } interface PostMessageArgs { - channel_id: string; + slack_channel_id: string; text: string; } interface ReplyToThreadArgs { - channel_id: string; + slack_channel_id: string; thread_ts: string; text: string; } interface AddReactionArgs { - channel_id: string; + slack_channel_id: string; timestamp: string; reaction: string; } interface GetChannelHistoryArgs { - channel_id: string; + slack_channel_id: string; limit?: number; } interface GetThreadRepliesArgs { - channel_id: string; + slack_channel_id: string; thread_ts: string; } @@ -80,7 +80,7 @@ const postMessageTool: Tool = { inputSchema: { type: "object", properties: { - channel_id: { + slack_channel_id: { type: "string", description: "The ID of the channel to post to", }, @@ -89,7 +89,7 @@ const postMessageTool: Tool = { description: "The message text to post", }, }, - required: ["channel_id", "text"], + required: ["slack_channel_id", "text"], }, }; @@ -99,7 +99,7 @@ const replyToThreadTool: Tool = { inputSchema: { type: "object", properties: { - channel_id: { + slack_channel_id: { type: "string", description: "The ID of the channel containing the thread", }, @@ -113,7 +113,7 @@ const replyToThreadTool: Tool = { description: "The reply text", }, }, - required: ["channel_id", "thread_ts", "text"], + required: ["slack_channel_id", "thread_ts", "text"], }, }; @@ -123,7 +123,7 @@ const addReactionTool: Tool = { inputSchema: { type: "object", properties: { - channel_id: { + slack_channel_id: { type: "string", description: "The ID of the channel containing the message", }, @@ -136,7 +136,7 @@ const addReactionTool: Tool = { description: "The name of the emoji reaction (without ::)", }, }, - required: ["channel_id", "timestamp", "reaction"], + required: ["slack_channel_id", "timestamp", "reaction"], }, }; @@ -146,7 +146,7 @@ const getChannelHistoryTool: Tool = { inputSchema: { type: "object", properties: { - channel_id: { + slack_channel_id: { type: "string", description: "The ID of the channel", }, @@ -156,7 +156,7 @@ const getChannelHistoryTool: Tool = { default: 10, }, }, - required: ["channel_id"], + required: ["slack_channel_id"], }, }; @@ -166,7 +166,7 @@ const getThreadRepliesTool: Tool = { inputSchema: { type: "object", properties: { - channel_id: { + slack_channel_id: { type: "string", description: "The ID of the channel containing the thread", }, @@ -176,7 +176,7 @@ const getThreadRepliesTool: Tool = { "The timestamp of the parent message in the format '1234567890.123456'. Timestamps in the format without the period can be converted by adding the period such that 6 numbers come after it.", }, }, - required: ["channel_id", "thread_ts"], + required: ["slack_channel_id", "thread_ts"], }, }; @@ -245,12 +245,12 @@ class SlackClient { return response.json(); } - async postMessage(channel_id: string, text: string): Promise { + async postMessage(slack_channel_id: string, text: string): Promise { const response = await fetch("https://slack.com/api/chat.postMessage", { method: "POST", headers: this.botHeaders, body: JSON.stringify({ - channel: channel_id, + channel: slack_channel_id, text: text, }), }); @@ -259,7 +259,7 @@ class SlackClient { } async postReply( - channel_id: string, + slack_channel_id: string, thread_ts: string, text: string, ): Promise { @@ -267,7 +267,7 @@ class SlackClient { method: "POST", headers: this.botHeaders, body: JSON.stringify({ - channel: channel_id, + channel: slack_channel_id, thread_ts: thread_ts, text: text, }), @@ -277,7 +277,7 @@ class SlackClient { } async addReaction( - channel_id: string, + slack_channel_id: string, timestamp: string, reaction: string, ): Promise { @@ -285,7 +285,7 @@ class SlackClient { method: "POST", headers: this.botHeaders, body: JSON.stringify({ - channel: channel_id, + channel: slack_channel_id, timestamp: timestamp, name: reaction, }), @@ -295,11 +295,11 @@ class SlackClient { } async getChannelHistory( - channel_id: string, + slack_channel_id: string, limit: number = 10, ): Promise { const params = new URLSearchParams({ - channel: channel_id, + channel: slack_channel_id, limit: limit.toString(), }); @@ -311,9 +311,9 @@ class SlackClient { return response.json(); } - async getThreadReplies(channel_id: string, thread_ts: string): Promise { + async getThreadReplies(slack_channel_id: string, thread_ts: string): Promise { const params = new URLSearchParams({ - channel: channel_id, + channel: slack_channel_id, ts: thread_ts, }); @@ -408,13 +408,13 @@ async function main() { case "slack_post_message": { const args = request.params.arguments as unknown as PostMessageArgs; - if (!args.channel_id || !args.text) { + if (!args.slack_channel_id || !args.text) { throw new Error( - "Missing required arguments: channel_id and text", + "Missing required arguments: slack_channel_id and text", ); } const response = await slackClient.postMessage( - args.channel_id, + args.slack_channel_id, args.text, ); return { @@ -425,13 +425,13 @@ async function main() { case "slack_reply_to_thread": { const args = request.params .arguments as unknown as ReplyToThreadArgs; - if (!args.channel_id || !args.thread_ts || !args.text) { + if (!args.slack_channel_id || !args.thread_ts || !args.text) { throw new Error( - "Missing required arguments: channel_id, thread_ts, and text", + "Missing required arguments: slack_channel_id, thread_ts, and text", ); } const response = await slackClient.postReply( - args.channel_id, + args.slack_channel_id, args.thread_ts, args.text, ); @@ -442,13 +442,13 @@ async function main() { case "slack_add_reaction": { const args = request.params.arguments as unknown as AddReactionArgs; - if (!args.channel_id || !args.timestamp || !args.reaction) { + if (!args.slack_channel_id || !args.timestamp || !args.reaction) { throw new Error( - "Missing required arguments: channel_id, timestamp, and reaction", + "Missing required arguments: slack_channel_id, timestamp, and reaction", ); } const response = await slackClient.addReaction( - args.channel_id, + args.slack_channel_id, args.timestamp, args.reaction, ); @@ -460,11 +460,11 @@ async function main() { case "slack_get_channel_history": { const args = request.params .arguments as unknown as GetChannelHistoryArgs; - if (!args.channel_id) { - throw new Error("Missing required argument: channel_id"); + if (!args.slack_channel_id) { + throw new Error("Missing required argument: slack_channel_id"); } const response = await slackClient.getChannelHistory( - args.channel_id, + args.slack_channel_id, args.limit, ); return { @@ -475,13 +475,13 @@ async function main() { case "slack_get_thread_replies": { const args = request.params .arguments as unknown as GetThreadRepliesArgs; - if (!args.channel_id || !args.thread_ts) { + if (!args.slack_channel_id || !args.thread_ts) { throw new Error( - "Missing required arguments: channel_id and thread_ts", + "Missing required arguments: slack_channel_id and thread_ts", ); } const response = await slackClient.getThreadReplies( - args.channel_id, + args.slack_channel_id, args.thread_ts, ); return { From f6322b212b71bcce08f4e7c11f0f579f8b3c142b Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Thu, 26 Jun 2025 14:24:30 +0100 Subject: [PATCH 09/29] Add Gemini key to LLM Server --- compose.yaml | 2 ++ sre_agent/llm/utils/clients.py | 2 ++ 2 files changed, 4 insertions(+) diff --git a/compose.yaml b/compose.yaml index cb9ea43b..af4a8db8 100644 --- a/compose.yaml +++ b/compose.yaml @@ -29,6 +29,7 @@ services: interval: 5s timeout: 3s retries: 5 + github: build: context: sre_agent @@ -60,6 +61,7 @@ services: - MODEL=${MODEL} - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} + - GEMINI_API_KEY=${GEMINI_API_KEY} llama-firewall: build: diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index c3ceb464..cd070690 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -7,6 +7,8 @@ from anthropic import Anthropic from anthropic.types import MessageParam as AnthropicMessageBlock from anthropic.types import ToolParam +from google import genai +from google.genai import types from pydantic import BaseModel from shared.logger import logger # type: ignore from shared.schemas import ( # type: ignore From e677825f33cf4724b4f183b23ac3c69868d12602 Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Fri, 27 Jun 2025 09:41:07 +0100 Subject: [PATCH 10/29] Update Docker compose.gcp.yaml --- compose.gcp.yaml | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/compose.gcp.yaml b/compose.gcp.yaml index ddb1e037..1333128f 100644 --- a/compose.gcp.yaml +++ b/compose.gcp.yaml @@ -31,6 +31,7 @@ services: interval: 5s timeout: 3s retries: 5 + github: build: context: sre_agent @@ -52,11 +53,6 @@ services: - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} - PROJECT_ROOT=${PROJECT_ROOT} - healthcheck: - test: ["CMD", "nc", "-z", "localhost", "3001"] - interval: 5s - timeout: 3s - retries: 5 llm-server: build: @@ -66,27 +62,32 @@ services: - PROVIDER=${PROVIDER} - MODEL=${MODEL} - MAX_TOKENS=1000 + - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} - GEMINI_API_KEY=${GEMINI_API_KEY} - healthcheck: - test: ["CMD", "nc", "-z", "localhost", "8000"] - interval: 5s - timeout: 3s - retries: 5 - orchestrator: + llama-firewall: build: context: . - dockerfile: sre_agent/client/Dockerfile + dockerfile: sre_agent/firewall/Dockerfile volumes: - source: ~/.cache/huggingface target: /root/.cache/huggingface type: bind bind: create_host_path: true + environment: + - HF_TOKEN=${HF_TOKEN} + + orchestrator: + build: + context: . + dockerfile: sre_agent/client/Dockerfile ports: - "8003:80" depends_on: + llama-firewall: + condition: service_healthy slack: condition: service_healthy github: @@ -105,4 +106,3 @@ services: - TOOLS=${TOOLS} - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - - HF_TOKEN=${HF_TOKEN} From cf3dd6b0d6060586e35a3ef144a4b8b9eb0bd363 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Fri, 27 Jun 2025 13:13:06 +0100 Subject: [PATCH 11/29] feature: added single setup and run script --- compose.yaml => compose.aws.yaml | 0 credential_setup.py | 66 ------ credential_setup_gcp.py | 67 ------ setup_credentials.py | 343 +++++++++++++++++++++++++++++++ 4 files changed, 343 insertions(+), 133 deletions(-) rename compose.yaml => compose.aws.yaml (100%) delete mode 100644 credential_setup.py delete mode 100644 credential_setup_gcp.py create mode 100644 setup_credentials.py diff --git a/compose.yaml b/compose.aws.yaml similarity index 100% rename from compose.yaml rename to compose.aws.yaml diff --git a/credential_setup.py b/credential_setup.py deleted file mode 100644 index ab935197..00000000 --- a/credential_setup.py +++ /dev/null @@ -1,66 +0,0 @@ -"""A script for creating a credentials file with secrets.""" - -from getpass import getpass - - -def main() -> None: - """The main function for creating a credentials file with secrets.""" - print("Let's populate your credentials file.") - - secrets = { - "SLACK_BOT_TOKEN": getpass( - "Enter your Slack Bot Token. If you haven’t set up a Slack app yet, check " - "out this article https://api.slack.com/apps to create one: " - ), - "SLACK_TEAM_ID": input("Enter your Slack Team ID: "), - "SLACK_CHANNEL_ID": input("Enter your Slack Channel ID: "), - "GITHUB_PERSONAL_ACCESS_TOKEN": getpass( - "Enter your Github Personal Access Token: " - ), - "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), - "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), - "PROJECT_ROOT": getpass("Enter your Github project root directory: "), - "PROVIDER": getpass("Enter your LLM provider name: "), - "MODEL": getpass("Enter your LLM model name: "), - "ANTHROPIC_API_KEY": getpass("Enter your Anthropic API Key: "), - "DEV_BEARER_TOKEN": getpass( - "Enter a bearer token (password) for developers to directly invoke the " - "agent via the `/diagnose` endpoint. (This can be anything): " - ), - "SLACK_SIGNING_SECRET": getpass( - "Enter the signing secret associated with the Slack `sre-agent` " - "application: " - ), - "AWS_REGION": input("Enter your AWS region: "), - "AWS_ACCOUNT_ID": input("Enter your AWS account ID: "), - "TARGET_EKS_CLUSTER_NAME": input( - "Enter your target EKS cluster name (the cluster the agent will interact " - "with): " - ), - "SERVICES": str( - input( - "Enter the services running on the cluster (comma-separated): " - ).split(",") - ), - "TOOLS": str( - input("Enter the tools you want to utilise (comma-separated): ").split(",") - ), - "HF_TOKEN": getpass( - "Enter your Hugging Face API token, ensure this has read access to " - "https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M, read the " - "following article (https://huggingface.co/docs/hub/en/security-tokens) " - "to set up this token: " - ), - } - - env_lines = [f"{key}={value}" for key, value in secrets.items()] - filename = ".env" - - with open(filename, "w") as f: - f.write("\n".join(env_lines)) - - print(".env file created successfully.") - - -if __name__ == "__main__": - main() diff --git a/credential_setup_gcp.py b/credential_setup_gcp.py deleted file mode 100644 index 305f4ca4..00000000 --- a/credential_setup_gcp.py +++ /dev/null @@ -1,67 +0,0 @@ -"""A script for creating a credentials file with secrets.""" - -from getpass import getpass - - -def main() -> None: - """The main function for creating a credentials file with secrets.""" - print("Let's populate your credentials file.") - - secrets = { - "SLACK_BOT_TOKEN": getpass( - "Enter your Slack Bot Token. If you haven’t set up a Slack app yet, check " - "out this article https://api.slack.com/apps to create one: " - ), - "SLACK_SIGNING_SECRET": getpass( - "Enter the signing secret associated with the Slack `sre-agent` " - "application: " - ), - "SLACK_TEAM_ID": input("Enter your Slack Team ID: "), - "SLACK_CHANNEL_ID": input("Enter your Slack Channel ID: "), - "GITHUB_PERSONAL_ACCESS_TOKEN": getpass( - "Enter your Github Personal Access Token: " - ), - "GITHUB_ORGANISATION": getpass("Enter your Github organisation name: "), - "GITHUB_REPO_NAME": getpass("Enter your Github repository name: "), - "PROJECT_ROOT": getpass("Enter your Github project root directory: "), - "PROVIDER": getpass("Enter your LLM provider name: "), - "MODEL": getpass("Enter your LLM model name: "), - "GEMINI_API_KEY": getpass("Enter your Gemini API Key: "), - "DEV_BEARER_TOKEN": getpass( - "Enter a bearer token (password) for developers to directly invoke the " - "agent via the `/diagnose` endpoint. (This can be anything): " - ), - "QUERY_TIMEOUT": input("Enter your query timeout (e.g. 300): "), - "CLOUDSDK_CORE_PROJECT": input("Enter your GCP region: "), - "CLOUDSDK_COMPUTE_REGION": input("Enter your GCP project ID: "), - "TARGET_GKE_CLUSTER_NAME": input( - "Enter your target GKE cluster name (the cluster the agent will interact " - "with): " - ), - "SERVICES": str( - input( - "Enter the services running on the cluster (comma-separated): " - ).split(",") - ), - "TOOLS": str( - input("Enter the tools you want to utilise (comma-separated): ").split(",") - ), - "HF_TOKEN": getpass( - "Enter your Hugging Face API token, ensure this has read access to " - "https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M, read the " - "following article (https://huggingface.co/docs/hub/en/security-tokens) " - "to set up this token: " - ), - } - - env_lines = [f"{key}={value}" for key, value in secrets.items()] - filename = ".env" - - with open(filename, "w") as f: - f.write("\n".join(env_lines)) - - print(".env file created successfully.") - - -if __name__ == "__main__": - main() diff --git a/setup_credentials.py b/setup_credentials.py new file mode 100644 index 00000000..51381421 --- /dev/null +++ b/setup_credentials.py @@ -0,0 +1,343 @@ +#!/usr/bin/env python3 +"""A script for setting up credentials for local development.""" + +import argparse +import os +from typing import Any, Optional + + +def mask_credential(value: str, mask_value: bool, show_chars: int = 3) -> str: + """Mask a credential value, showing only the first and last few characters.""" + if not value or not mask_value: + return value + + # For short values, just mask everything + if len(value) <= show_chars * 2: + return "*" * len(value) + + return ( + f"{value[:show_chars]}{'*' * (len(value) - show_chars * 2)}" + f"{value[-show_chars:]}" + ) + + +def read_env_file(filename: str = ".env") -> dict[str, str]: + """Read environment variables from a .env file.""" + env_vars: dict[str, str] = {} + + if not os.path.exists(filename): + return env_vars + + try: + with open(filename) as f: + for file_line in f: + line = file_line.strip() + if line and not line.startswith("#") and "=" in line: + key, value = line.split("=", 1) + env_vars[key.strip()] = value.strip() + except Exception as e: + print(f"Error reading {filename}: {e}") + + return env_vars + + +def get_credential_config(platform: str) -> dict[str, dict[str, Any]]: + """Get the credential configuration for the specified platform. + + Config structure: + - mask_value: When displaying existing values, + show masked (True) vs full value (False) + """ + # Common credentials for both platforms + common_creds = { + "SLACK_BOT_TOKEN": { + "prompt": "Enter your Slack Bot Token. If you haven't set up a Slack " + "app yet, check out this article https://api.slack.com/apps " + "to create one: ", + "mask_value": True, + }, + "SLACK_SIGNING_SECRET": { + "prompt": "Enter the signing secret associated with the Slack " + "`sre-agent` application: ", + "mask_value": True, + }, + "SLACK_TEAM_ID": {"prompt": "Enter your Slack Team ID: ", "mask_value": False}, + "SLACK_CHANNEL_ID": { + "prompt": "Enter your Slack Channel ID: ", + "mask_value": False, + }, + "GITHUB_PERSONAL_ACCESS_TOKEN": { + "prompt": "Enter your Github Personal Access Token: ", + "mask_value": True, + }, + "GITHUB_ORGANISATION": { + "prompt": "Enter your Github organisation name: ", + "mask_value": False, + }, + "GITHUB_REPO_NAME": { + "prompt": "Enter your Github repository name: ", + "mask_value": False, + }, + "PROJECT_ROOT": { + "prompt": "Enter your Github project root directory: ", + "mask_value": False, + }, + "PROVIDER": {"prompt": "Enter your LLM provider name: ", "mask_value": False}, + "MODEL": {"prompt": "Enter your LLM model name: ", "mask_value": False}, + "GEMINI_API_KEY": {"prompt": "Enter your Gemini API Key: ", "mask_value": True}, + "ANTHROPIC_API_KEY": { + "prompt": "Enter your Anthropic API Key: ", + "mask_value": True, + }, + "DEV_BEARER_TOKEN": { + "prompt": "Enter a bearer token (password) for developers to " + "directly invoke the agent via the `/diagnose` endpoint. " + "(This can be anything): ", + "mask_value": True, + }, + "HF_TOKEN": { + "prompt": "Enter your Hugging Face API token, ensure this has read " + "access to https://huggingface.co/meta-llama/" + "Llama-Prompt-Guard-2-86M, read the following article " + "(https://huggingface.co/docs/hub/en/security-tokens) " + "to set up this token: ", + "mask_value": True, + }, + } + + if platform == "aws": + aws_specific = { + "AWS_REGION": {"prompt": "Enter your AWS region: ", "mask_value": False}, + "AWS_ACCOUNT_ID": { + "prompt": "Enter your AWS account ID: ", + "mask_value": False, + }, + "TARGET_EKS_CLUSTER_NAME": { + "prompt": "Enter your target EKS cluster name (the cluster the " + "agent will interact with): ", + "mask_value": False, + }, + } + return {**common_creds, **aws_specific} + + elif platform == "gcp": + gcp_specific = { + "QUERY_TIMEOUT": { + "prompt": "Enter your query timeout (e.g. 300): ", + "mask_value": False, + }, + "CLOUDSDK_CORE_PROJECT": { + "prompt": "Enter your GCP project ID: ", + "mask_value": False, + }, + "CLOUDSDK_COMPUTE_REGION": { + "prompt": "Enter your GCP region: ", + "mask_value": False, + }, + "TARGET_GKE_CLUSTER_NAME": { + "prompt": "Enter your target GKE cluster name (the cluster the " + "agent will interact with): ", + "mask_value": False, + }, + } + return {**common_creds, **gcp_specific} + + else: + raise ValueError( + f"Unsupported platform: {platform}. Supported " + "platforms are 'aws' and 'gcp'." + ) + + +def display_current_credentials( + credentials: dict[str, str], creds_config: dict[str, dict[str, Any]] +) -> None: + """Display current credentials with appropriate masking based on config.""" + if not credentials: + print("No existing credentials found.") + return + + print("\nCurrent credentials:") + print("-" * 50) + + for key, value in credentials.items(): + config = creds_config.get(key, {}) + mask_value = config.get("mask_value", True) # Default to masking + masked_value = mask_credential(value, mask_value) + print(f"{key}: {masked_value}") + + print("-" * 50) + + +def get_credential_input( + prompt: str, current_value: Optional[str] = None, mask_value: bool = True +) -> str: + """Get credential input from user, showing current value if it exists.""" + if current_value: + # Show the current value (masked or unmasked based on mask_value) + displayed_current = mask_credential(current_value, mask_value) + display_prompt = ( + f"{prompt}\nCurrent value: {displayed_current}\n" + "Press Enter to keep current value, or enter new value: " + ) + else: + display_prompt = prompt + + # Use regular input for all inputs + new_value = input(display_prompt) + + # If user pressed Enter and there's a current value, keep it + if not new_value and current_value: + return current_value + + return new_value + + +def handle_comma_separated_input( + key: str, prompt: str, existing_creds: dict[str, str] +) -> str: + """Handle input for comma-separated values like SERVICES and TOOLS.""" + current_value = existing_creds.get(key, "") + if current_value.startswith("['") and current_value.endswith("']"): + # Convert from string representation back to comma-separated + current_value = current_value[2:-2].replace("', '", ",") + + user_input = input( + f"{prompt}:\nCurrent value: {current_value}\n" + "Press Enter to keep current value, or enter new value: " + ) + + if not user_input and current_value: + return existing_creds.get(key, "") + else: + return str(user_input.split(",")) if user_input else str([]) + + +def get_platform_credentials( + platform: str, existing_creds: dict[str, str] +) -> dict[str, str]: + """Get credentials for the specified platform.""" + print(f"Setting up {platform.upper()} credentials...") + + credentials = {} + creds_config = get_credential_config(platform) + + # Process standard credentials + for key, config in creds_config.items(): + credentials[key] = get_credential_input( + config["prompt"], existing_creds.get(key), config["mask_value"] + ) + + # Handle special cases for comma-separated values + credentials["SERVICES"] = handle_comma_separated_input( + "SERVICES", + "Enter the services running on the cluster (comma-separated)", + existing_creds, + ) + + credentials["TOOLS"] = handle_comma_separated_input( + "TOOLS", "Enter the tools you want to utilise (comma-separated)", existing_creds + ) + + return credentials + + +def detect_platform_from_env(existing_creds: dict[str, str]) -> Optional[str]: + """Detect platform from existing environment variables.""" + aws_indicators = ["AWS_REGION", "AWS_ACCOUNT_ID", "TARGET_EKS_CLUSTER_NAME"] + gcp_indicators = [ + "CLOUDSDK_CORE_PROJECT", + "CLOUDSDK_COMPUTE_REGION", + "TARGET_GKE_CLUSTER_NAME", + ] + + aws_count = sum(1 for key in aws_indicators if key in existing_creds) + gcp_count = sum(1 for key in gcp_indicators if key in existing_creds) + + if aws_count > gcp_count: + return "aws" + elif gcp_count > aws_count: + return "gcp" + + return None + + +def create_env_file(credentials: dict[str, str], filename: str = ".env") -> None: + """Create .env file with the provided credentials.""" + env_lines = [f"{key}={value}" for key, value in credentials.items()] + + with open(filename, "w") as f: + f.write("\n".join(env_lines)) + + print(f"{filename} file created successfully.") + + +def main() -> None: + """Main function to set up credentials.""" + parser = argparse.ArgumentParser(description="SRE Agent Credential Setup") + parser.add_argument( + "--platform", + choices=["aws", "gcp"], + help="Specify platform (aws/gcp) to skip platform selection", + ) + + args = parser.parse_args() + + print("=== SRE Agent Credential Setup ===") + print("This script will help you set up credentials for running the agent locally.") + + # Read existing credentials + existing_creds = read_env_file() + + # Ask for platform choice first to get the right config + platform = args.platform + if not platform: + detected_platform = detect_platform_from_env(existing_creds) + if detected_platform: + use_detected = ( + input( + f"\nDetected platform: " + f"{detected_platform.upper()}. Use this? " + "(y/n): " + ) + .lower() + .strip() + ) + if use_detected in ["y", "yes"]: + platform = detected_platform + + if not platform: + while True: + platform = ( + input("\nWhich platform is your target cluster on? (aws/gcp): ") + .lower() + .strip() + ) + if platform in ["aws", "gcp"]: + break + print("Please enter 'aws' or 'gcp'") + + print(f"\nYou selected: {platform.upper()}") + + # Show existing credentials if any + if existing_creds: + creds_config = get_credential_config(platform) + display_current_credentials(existing_creds, creds_config) + + # Get credentials based on platform + credentials = get_platform_credentials(platform, existing_creds) + + # Create .env file + create_env_file(credentials) + + print("\n✅ Credentials saved to .env file!") + print("\n🚀 Next steps:") + print(" Start the containers manually with:") + if platform == "aws": + print(" docker compose -f compose.aws.yaml up") + elif platform == "gcp": + print(" docker compose -f compose.gcp.yaml up") + + +if __name__ == "__main__": + main() From 2555bd74d0009e2e0673c05226c0fd93d0931fc9 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Fri, 27 Jun 2025 13:15:32 +0100 Subject: [PATCH 12/29] docs: updating credentials setup --- README.md | 57 ++++++++++++++++++------- docs/credentials.md | 102 +++++++++++++++++++++++++++++++++++++++----- 2 files changed, 133 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index 9439f475..023435f5 100644 --- a/README.md +++ b/README.md @@ -31,17 +31,41 @@ We've been writing blogs and sharing our learnings along the way. Check out our ## 🛠️ Prerequisites - [Docker](https://docs.docker.com/get-docker/) -- A `.env` file in your project root ([see below](#credentials-setup)) -- An app deployed on AWS EKS (Elastic Kubernetes Service) +- A `.env` file in your project root ([see below](#getting-started)) +- An app deployed on AWS EKS (Elastic Kubernetes Service) or GCP GKE (Google Kubernetes Engine) ## ⚡ Getting Started -Ready to see the agent in action? Let's get you set up. +Ready to see the agent in action? Our setup script will guide you through credential configuration, then you'll manually start the containers. -### 1️⃣ Connect to Your Kubernetes Cluster +### 🚀 Credential Setup + +Use our interactive setup script to configure your credentials: + +```bash +python setup_credentials.py +``` -> _Currently, we support EKS clusters._ +The script will: +- ✅ Auto-detect your platform (AWS/GCP) or let you choose +- ✅ Guide you through credential setup with helpful prompts +- ✅ Show current values and let you update them +- ✅ Create your `.env` file automatically + +### 🔧 Setup Options + +**Quick start with platform selection:** +```bash +python setup_credentials.py --platform aws +# or +python setup_credentials.py --platform gcp +``` +``` + +### 1️⃣ Connect to Your Kubernetes Cluster + +#### For AWS EKS: 1. Go to your AWS access portal and grab your access keys: ![key](./docs/imgs/running_locally/access_key.png) 2. Choose Option 2 and copy credentials into `~/.aws/credentials`: @@ -54,22 +78,25 @@ Ready to see the agent in action? Let's get you set up. aws_session_token=abcdefg123456789....= ``` -### 2️⃣ Credentials Setup - -You'll need some environment variables. Use our template `.env.example` and the helper script: - +#### For GCP GKE: +Set up your GCP credentials using the gcloud CLI: ```bash -python credential_setup.py +gcloud auth login +gcloud config set project YOUR_PROJECT_ID ``` -More details: [credentials](docs/credentials.md) +### 2️⃣ Start the Containers -### 3️⃣ Fire Up the Agent +After setting up your credentials, start the containers manually: -Spin up all the services with Docker Compose: +**For AWS:** +```bash +docker compose -f compose.aws.yaml up --build +``` +**For GCP:** ```bash -docker compose up --build +docker compose -f compose.gcp.yaml up --build ```
@@ -193,4 +220,4 @@ Big thanks to: Check out our blog posts for insights and updates: - [Bringing Agentic AI into the Real World](https://www.fuzzylabs.ai/blog-post/bringing-agentic-ai-into-the-real-world) -- [How We’re Building an Autonomous SRE with FastMCP](https://www.fuzzylabs.ai/blog-post/how-were-building-an-autonomous-sre-with-fastmcp) +- [How We're Building an Autonomous SRE with FastMCP](https://www.fuzzylabs.ai/blog-post/how-were-building-an-autonomous-sre-with-fastmcp) diff --git a/docs/credentials.md b/docs/credentials.md index 3358db81..ed576ead 100644 --- a/docs/credentials.md +++ b/docs/credentials.md @@ -1,13 +1,93 @@ # Credentials -The following credentials must be retrieved prior to running the agent. These credentials are required for the agent to function, allowing it to read Kubernetes logs, read github files and make issues, and send messages in Slack. - -- SLACK_BOT_TOKEN: The token for the sre-agent Slack bot. If you haven’t set up a Slack app yet, check out this [page](https://api.slack.com/quickstart) to create one. -- SLACK_TEAM_ID: The ID of the Slack team where the agent operates. -- SLACK_SIGNING_SECRET: The signing secret associated with the Slack sre-agent application. -- SLACK_CHANNEL_ID: The specific Slack channel ID for the agent's responses. -- GITHUB_PERSONAL_ACCESS_TOKEN: A GitHub personal access token with permissions to read relevant files. -- ANTHROPIC_API_KEY: An API key for Anthropic, used for processing tool requests. -- DEV_BEARER_TOKEN: A bearer token (password) for developers to directly invoke the agent via the `/diagnose` endpoint. (This can be anything) -- TARGET_EKS_CLUSTER_NAME: The name of the target AWS EKS cluster the agent will interact with. -- HF_TOKEN: The Hugging Face Hub access token, ensure this has read access to https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M, read the article here to set up this token. +The following credentials must be retrieved prior to running the agent. These credentials are required for the agent to function, allowing it to read Kubernetes logs, read GitHub files and make issues, and send messages in Slack. + +## 🔧 Common Credentials (Required for All Platforms) + +### Slack Configuration +- **SLACK_BOT_TOKEN**: The token for the sre-agent Slack bot. If you haven't set up a Slack app yet, check out this [page](https://api.slack.com/quickstart) to create one. +- **SLACK_SIGNING_SECRET**: The signing secret associated with the Slack sre-agent application. +- **SLACK_TEAM_ID**: The ID of the Slack team where the agent operates. +- **SLACK_CHANNEL_ID**: The specific Slack channel ID for the agent's responses. + +### GitHub Configuration +- **GITHUB_PERSONAL_ACCESS_TOKEN**: A GitHub personal access token with permissions to read relevant files and create issues. +- **GITHUB_ORGANISATION**: Your GitHub organisation name (e.g., "fuzzylabs"). +- **GITHUB_REPO_NAME**: Your GitHub repository name (e.g., "sre-agent"). +- **PROJECT_ROOT**: The root directory path within your GitHub project where relevant code is located. + +### LLM Provider Configuration + +> **Note**: You only need to configure **one** LLM provider. Choose either Anthropic or Google Gemini and provide the corresponding API key. + +- **PROVIDER**: The LLM provider name (e.g., "anthropic", "google"). +- **MODEL**: The specific model name to use (e.g., "claude-3-5-sonnet-20241022", "gemini-1.5-pro"). + +**Choose one of the following:** +- **ANTHROPIC_API_KEY**: An API key for Anthropic Claude models *(required if using Anthropic provider)*. +- **GEMINI_API_KEY**: An API key for Google Gemini models *(required if using Google provider)*. + +### Security & Access +- **DEV_BEARER_TOKEN**: A bearer token (password) for developers to directly invoke the agent via the `/diagnose` endpoint. This can be any secure string you choose. +- **HF_TOKEN**: The Hugging Face Hub access token. Ensure this has read access to https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M. Read [this article](https://huggingface.co/docs/hub/en/security-tokens) to set up this token. + +### Service Configuration +- **SERVICES**: Comma-separated list of services running on your cluster that the agent should monitor (e.g., "api,database,frontend"). +- **TOOLS**: Comma-separated list of tools you want the agent to utilise (e.g., "kubectl,helm,logs"). + +## ☁️ AWS-Specific Credentials + +Required when running on AWS EKS: + +- **AWS_REGION**: Your AWS region (e.g., "us-west-2", "eu-west-1"). +- **AWS_ACCOUNT_ID**: Your AWS account ID (12-digit number). +- **TARGET_EKS_CLUSTER_NAME**: The name of the target AWS EKS cluster the agent will interact with. + +### AWS Authentication Setup +Ensure your AWS credentials are configured in `~/.aws/credentials`: +```bash +[default] +aws_access_key_id=YOUR_ACCESS_KEY +aws_secret_access_key=YOUR_SECRET_KEY +aws_session_token=YOUR_SESSION_TOKEN # If using temporary credentials +``` + +## 🌐 GCP-Specific Credentials + +Required when running on Google Cloud GKE: + +- **CLOUDSDK_CORE_PROJECT**: Your GCP project ID. +- **CLOUDSDK_COMPUTE_REGION**: Your GCP region (e.g., "us-central1", "europe-west1"). +- **TARGET_GKE_CLUSTER_NAME**: The name of the target GCP GKE cluster the agent will interact with. +- **QUERY_TIMEOUT**: Timeout for queries in seconds (e.g., "300"). + +### GCP Authentication Setup +Ensure your GCP credentials are configured using the gcloud CLI: +```bash +gcloud auth login +gcloud config set project YOUR_PROJECT_ID +gcloud container clusters get-credentials YOUR_CLUSTER_NAME --region YOUR_REGION +``` + +## 🚀 Quick Setup + +Use our interactive setup script to configure all credentials: + +```bash +python setup_credentials.py +``` + +The script will: +- Auto-detect your platform (AWS/GCP) or let you choose +- Guide you through each credential with helpful prompts +- Show current values (masked for security) and let you update them +- Create your `.env` file automatically + +### Platform-Specific Setup + +```bash +# For AWS +python setup_credenitals.py --platform aws + +# For GCP +python setup_credenitals.py --platform gcp From 00973c05b128d7a2708186f6b50d1063a03a0455 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Fri, 27 Jun 2025 13:16:19 +0100 Subject: [PATCH 13/29] fix: healthcheck dependency --- compose.aws.yaml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/compose.aws.yaml b/compose.aws.yaml index af4a8db8..89e0753c 100644 --- a/compose.aws.yaml +++ b/compose.aws.yaml @@ -51,6 +51,11 @@ services: - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} - PROJECT_ROOT=${PROJECT_ROOT} + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:3001/health"] + interval: 30s + timeout: 10s + retries: 3 llm-server: build: @@ -62,6 +67,11 @@ services: - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} - GEMINI_API_KEY=${GEMINI_API_KEY} + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 llama-firewall: build: @@ -75,6 +85,11 @@ services: create_host_path: true environment: - HF_TOKEN=${HF_TOKEN} + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 orchestrator: build: From 254892b5f263009ab0014f0c888e83f82e402749 Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Fri, 27 Jun 2025 16:32:22 +0100 Subject: [PATCH 14/29] Add adapters and client to enable Gemini support --- sre_agent/client/client.py | 1 + sre_agent/llm/utils/adapters.py | 85 +++++++++++++++++++++++++++++++++ sre_agent/llm/utils/clients.py | 33 +++++++++---- sre_agent/shared/schemas.py | 4 +- 4 files changed, 114 insertions(+), 9 deletions(-) diff --git a/sre_agent/client/client.py b/sre_agent/client/client.py index 328c5cc2..77c793b6 100644 --- a/sre_agent/client/client.py +++ b/sre_agent/client/client.py @@ -282,6 +282,7 @@ async def process_query( # noqa: C901, PLR0912, PLR0915 { "type": "tool_result", "tool_use_id": content.id, + "name": tool_name, "content": [i.model_dump() for i in result_content], "is_error": is_error, } diff --git a/sre_agent/llm/utils/adapters.py b/sre_agent/llm/utils/adapters.py index 10661077..4b3788be 100644 --- a/sre_agent/llm/utils/adapters.py +++ b/sre_agent/llm/utils/adapters.py @@ -8,6 +8,10 @@ from anthropic.types import ToolParam from anthropic.types import ToolResultBlockParam as AnthropicToolResultBlockParam from anthropic.types import ToolUseBlock as AnthropicToolUseBlock +from google.genai import _mcp_utils +from google.genai.types import Content as GeminiContent +from google.genai.types import Part as GeminiPart +from google.genai.types import Tool as GeminiTool from shared.schemas import ( # type: ignore Content, TextBlock, @@ -59,6 +63,36 @@ def adapt(self) -> Content: return processed_content +class GeminiToMCPAdapter(LLMToMCPAdapter): + """An adapter class to convert Gemini content to MCP types.""" + + def adapt(self) -> Content: + """Convert Gemini content to MCP types.""" + processed_content: Content = [] + for candidate in self.contents: + if candidate.content and candidate.content.parts: + for part in candidate.content.parts: + if part.function_call: + processed_content.append( + ToolUseBlock( + id=part.function_call.id or f"call_{part.function_call.name}", + name=part.function_call.name, + arguments=part.function_call.args or {}, + ) + ) + elif part.text: + processed_content.append( + TextBlock( + text=part.text, + ) + ) + else: + raise TypeError( + f"Unsupported part type: {type(part)}" + ) + return processed_content + + class LLMTextGenerationPayloadAdapter(ABC): """An abstract base class for adapting text generation payloads to LLM types.""" @@ -133,3 +167,54 @@ def _adapt_tools(self) -> list[ToolParam]: ) for tool in self.payload.tools ] + + +class GeminiTextGenerationPayloadAdapter(LLMTextGenerationPayloadAdapter): + """An adapter class to convert MCP text generation payloads to Gemini types.""" + + def _adapt_messages(self) -> list[GeminiContent]: + """Convert MCP types to Gemini types.""" + processed_messages: list[GeminiContent] = [] + for message in self.payload.messages: + parts = [] + for content in message.content: + if isinstance(content, ToolUseBlock): + parts.append( + GeminiPart.from_function_call( + name=content.name, + args=content.arguments, + ) + ) + elif isinstance(content, TextBlock): + parts.append(GeminiPart.from_text(text=content.text)) + elif isinstance(content, ToolResultBlock): + output = (content.content if isinstance(content.content, str) + else "\n".join( + item.get('text', str(item)) if isinstance(item, dict) + else item.text if hasattr(item, 'text') + else str(item) + for item in content.content + )) + parts.append( + GeminiPart.from_function_response( + name=content.name, + response={ + "output": output, + "error": content.is_error, + }, + ) + ) + else: + raise TypeError(f"Unsupported content type: {type(content)}") + processed_messages.append( + GeminiContent( + parts=parts, + role=message.role, + ) + ) + return processed_messages + + def _adapt_tools(self) -> list[GeminiTool]: + """Convert MCP tools to Gemini tools""" + return _mcp_utils.mcp_to_gemini_tools(self.payload.tools) + diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index cd070690..c283f127 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -21,6 +21,8 @@ from utils.adapters import ( # type: ignore[import-not-found] AnthropicTextGenerationPayloadAdapter, AnthropicToMCPAdapter, + GeminiTextGenerationPayloadAdapter, + GeminiToMCPAdapter, ) from utils.schemas import ( # type: ignore LLMSettings, @@ -169,7 +171,7 @@ def generate(self, payload: TextGenerationPayload) -> Message: class GeminiClient(BaseClient): - """A client for performing text generation using the Gemeni client.""" + """A client for performing text generation using the Gemini client.""" def __init__(self, settings: LLMSettings = LLMSettings()) -> None: """The constructor for the Gemini client.""" @@ -178,19 +180,19 @@ def __init__(self, settings: LLMSettings = LLMSettings()) -> None: def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" - # tools = self.cache_tools(payload.tools) - # messages = self.cache_messages(payload.messages) + adapter = GeminiTextGenerationPayloadAdapter(payload) + + messages, tools = adapter.adapt() if not self.settings.max_tokens: raise ValueError("Max tokens configuration has not been set.") - + response = self.client.models.generate_content( model=self.settings.model, - contents=payload.messages, + contents=messages, config=types.GenerateContentConfig( - tools=payload.tools, + tools=tools, max_output_tokens=self.settings.max_tokens, - temperature=0.1, ), ) @@ -202,7 +204,22 @@ def generate(self, payload: TextGenerationPayload) -> Message: f"Total: {response.usage_metadata.total_token_count}" ) - return response + adapter = GeminiToMCPAdapter(response.candidates) + content = adapter.adapt() + + return Message( + id=response.response_id or f"gemini_{hash(str(response))}", + model=response.model_version, + content=content, + role="assistant", + stop_reason=response.candidates[0].finish_reason, + usage=Usage( + input_tokens=response.usage_metadata.prompt_token_count, + output_tokens=response.usage_metadata.candidates_token_count, + cache_creation_input_tokens=None, + cache_read_input_tokens=response.usage_metadata.cached_content_token_count, + ), + ) class SelfHostedClient(BaseClient): diff --git a/sre_agent/shared/schemas.py b/sre_agent/shared/schemas.py index d82fd37a..643b2731 100644 --- a/sre_agent/shared/schemas.py +++ b/sre_agent/shared/schemas.py @@ -32,13 +32,15 @@ class ToolResultBlock(BaseModel): tool_use_id: str = Field(description="Unique identifier for the tool use request.") + name: str = Field(description="Name of the tool that was used.") + content: str | Iterable[TextBlock] = Field( description="Content returned by the tool." ) is_error: bool = Field(description="Indicates if the tool result is an error.") - type: Literal["tool_result"] + type: Literal["tool_result"] = "tool_result" class Usage(BaseModel): From 3067c4b1337911a742b0e10caa9577b8f371c6be Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Fri, 27 Jun 2025 16:35:40 +0100 Subject: [PATCH 15/29] docs: added supported LLMs --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index 023435f5..9e4d7ff8 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,19 @@ We've been writing blogs and sharing our learnings along the way. Check out our > Powered by the [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) for seamless LLM-to-tool connectivity. +## 🤖 Supported LLM Providers + +The SRE Agent supports multiple the following LLM providers: + +### Anthropic +- **Models**: e.g. "claude-4-0-sonnet-latest" +- **Setup**: Requires `ANTHROPIC_API_KEY` + +### Google Gemini +- **Models**: e.g, "gemini-2.5-flash" +- **Setup**: Requires `GEMINI_API_KEY` + + ## 🛠️ Prerequisites - [Docker](https://docs.docker.com/get-docker/) From 35843cb761833602904d1fc7c133d55f1d412204 Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Fri, 27 Jun 2025 16:56:00 +0100 Subject: [PATCH 16/29] Update adapter test with dummy tool name for Anthropic models --- tests/unit_tests/test_adapters.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/unit_tests/test_adapters.py b/tests/unit_tests/test_adapters.py index dca03185..26219cde 100644 --- a/tests/unit_tests/test_adapters.py +++ b/tests/unit_tests/test_adapters.py @@ -139,6 +139,7 @@ def test_adapt_messages_with_tool_result_block(self): content=[ ToolResultBlock( tool_use_id="test-id", + name="Tool name (dummy)", content="Tool result", is_error=False, type="tool_result", From d5b6c1c68793aeef37305e7a725818009d9ef29b Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Fri, 27 Jun 2025 17:30:40 +0100 Subject: [PATCH 17/29] Fix pre-commit issues and improve code quality --- .pre-commit-config.yaml | 2 +- compose.ecr.yaml | 2 +- sre_agent/client/client.py | 6 +- sre_agent/firewall/startup.sh | 2 +- sre_agent/llm/utils/adapters.py | 29 +- sre_agent/llm/utils/clients.py | 20 +- uv.lock | 1479 +++++++++++++++++-------------- 7 files changed, 831 insertions(+), 709 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index e135f120..46006579 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -60,4 +60,4 @@ repos: description: Detect secrets in your data. entry: bash -c 'docker run --rm -v "$(pwd):/workdir" -i --rm trufflesecurity/trufflehog:latest git file:///workdir --since-commit HEAD --only-verified --fail' language: system - stages: ["commit", "push"] + stages: ["pre-commit", "pre-push"] diff --git a/compose.ecr.yaml b/compose.ecr.yaml index 0069be73..0422e36c 100644 --- a/compose.ecr.yaml +++ b/compose.ecr.yaml @@ -82,4 +82,4 @@ services: - TOOLS=${TOOLS} - SLACK_CHANNEL_ID=${SLACK_CHANNEL_ID} - SERVICES=${SERVICES} - - HF_TOKEN=${HF_TOKEN} \ No newline at end of file + - HF_TOKEN=${HF_TOKEN} diff --git a/sre_agent/client/client.py b/sre_agent/client/client.py index 77c793b6..c0754396 100644 --- a/sre_agent/client/client.py +++ b/sre_agent/client/client.py @@ -124,7 +124,8 @@ async def _get_prompt(self, service: str, slack_channel_id: str) -> MessageBlock prompt: GetPromptResult = await self.sessions[ MCPServer.PROMPT ].session.get_prompt( - "diagnose", arguments={"service": service, "slack_channel_id": slack_channel_id} + "diagnose", + arguments={"service": service, "slack_channel_id": slack_channel_id}, ) if isinstance(prompt.messages[0].content, TextContent): @@ -347,7 +348,8 @@ async def run_diagnosis_and_post(service: str) -> None: async def _run_diagnosis(mcp_client: MCPClient) -> dict[str, Any]: """Inner function to run the actual diagnosis query.""" result = await mcp_client.process_query( - service=service, slack_channel_id=_get_client_config().slack_channel_id + service=service, + slack_channel_id=_get_client_config().slack_channel_id, ) logger.info( diff --git a/sre_agent/firewall/startup.sh b/sre_agent/firewall/startup.sh index d870cff7..e0fd39eb 100644 --- a/sre_agent/firewall/startup.sh +++ b/sre_agent/firewall/startup.sh @@ -30,4 +30,4 @@ echo "... done!" uv llamafirewall configure uv run uvicorn firewall:app --port 8000 --host 0.0.0.0 -# uvicorn client:app --port 80 --host 0.0.0.0 \ No newline at end of file +# uvicorn client:app --port 80 --host 0.0.0.0 diff --git a/sre_agent/llm/utils/adapters.py b/sre_agent/llm/utils/adapters.py index 4b3788be..4620a26c 100644 --- a/sre_agent/llm/utils/adapters.py +++ b/sre_agent/llm/utils/adapters.py @@ -75,7 +75,8 @@ def adapt(self) -> Content: if part.function_call: processed_content.append( ToolUseBlock( - id=part.function_call.id or f"call_{part.function_call.name}", + id=part.function_call.id + or f"call_{part.function_call.name}", name=part.function_call.name, arguments=part.function_call.args or {}, ) @@ -87,9 +88,7 @@ def adapt(self) -> Content: ) ) else: - raise TypeError( - f"Unsupported part type: {type(part)}" - ) + raise TypeError(f"Unsupported part type: {type(part)}") return processed_content @@ -188,13 +187,18 @@ def _adapt_messages(self) -> list[GeminiContent]: elif isinstance(content, TextBlock): parts.append(GeminiPart.from_text(text=content.text)) elif isinstance(content, ToolResultBlock): - output = (content.content if isinstance(content.content, str) - else "\n".join( - item.get('text', str(item)) if isinstance(item, dict) - else item.text if hasattr(item, 'text') - else str(item) - for item in content.content - )) + output = ( + content.content + if isinstance(content.content, str) + else "\n".join( + item.get("text", str(item)) + if isinstance(item, dict) + else item.text + if hasattr(item, "text") + else str(item) + for item in content.content + ) + ) parts.append( GeminiPart.from_function_response( name=content.name, @@ -215,6 +219,5 @@ def _adapt_messages(self) -> list[GeminiContent]: return processed_messages def _adapt_tools(self) -> list[GeminiTool]: - """Convert MCP tools to Gemini tools""" + """Convert MCP tools to Gemini tools.""" return _mcp_utils.mcp_to_gemini_tools(self.payload.tools) - diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index c283f127..c9975f77 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -181,12 +181,12 @@ def __init__(self, settings: LLMSettings = LLMSettings()) -> None: def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" adapter = GeminiTextGenerationPayloadAdapter(payload) - + messages, tools = adapter.adapt() if not self.settings.max_tokens: raise ValueError("Max tokens configuration has not been set.") - + response = self.client.models.generate_content( model=self.settings.model, contents=messages, @@ -196,14 +196,6 @@ def generate(self, payload: TextGenerationPayload) -> Message: ), ) - logger.info( - f"Token usage - Input: {response.usage_metadata.prompt_token_count}, " - f"Output: {response.usage_metadata.candidates_token_count}, " - f"Cache: {response.usage_metadata.cached_content_token_count}, " - f"Tools: {response.usage_metadata.tool_use_prompt_token_count}, " - f"Total: {response.usage_metadata.total_token_count}" - ) - adapter = GeminiToMCPAdapter(response.candidates) content = adapter.adapt() @@ -212,13 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-15,11 +15,18 @@ services: environment: - PROVIDER=mock - ANTHROPIC_API_KEY=null + - GEMINI_API_KEY=null llama-firewall: build: context: . dockerfile: sre_agent/firewall/Dockerfile + volumes: + - source: ~/.cache/huggingface + target: /root/.cache/huggingface + type: bind + bind: + create_host_path: true environment: - HF_TOKEN=${HF_TOKEN} ports: @@ -29,12 +36,6 @@ services: build: context: . dockerfile: sre_agent/client/Dockerfile - volumes: - - source: ~/.cache/huggingface - target: /root/.cache/huggingface - type: bind - bind: - create_host_path: true ports: - "8003:80" From 01d1bf46933e4a756643ef36420eb4a99623e138 Mon Sep 17 00:00:00 2001 From: alanbijuthomas <56507587+alanbijuthomas@users.noreply.github.com> Date: Sat, 28 Jun 2025 12:05:05 +0100 Subject: [PATCH 19/29] Log Gemini token usage --- sre_agent/llm/utils/clients.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index c9975f77..05d3e9ab 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -196,6 +196,15 @@ def generate(self, payload: TextGenerationPayload) -> Message: ), ) + if response.usage_metadata: + logger.info( + f"Token usage - Input: {response.usage_metadata.prompt_token_count}, " + f"Output: {response.usage_metadata.candidates_token_count}, " + f"Cache: {response.usage_metadata.cached_content_token_count}, " + f"Tools: {response.usage_metadata.tool_use_prompt_token_count}, " + f"Total: {response.usage_metadata.total_token_count}" + ) + adapter = GeminiToMCPAdapter(response.candidates) content = adapter.adapt() From 41a535d5b9cfebc418098c00487bdc9996cb5113 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Mon, 30 Jun 2025 11:05:03 +0100 Subject: [PATCH 20/29] fix: removed comment --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 9e4d7ff8..793d8617 100644 --- a/README.md +++ b/README.md @@ -74,7 +74,6 @@ python setup_credentials.py --platform aws python setup_credentials.py --platform gcp ``` -``` ### 1️⃣ Connect to Your Kubernetes Cluster From 64b02ea9b3e6163b0fedf2821ff319d5fd12e68c Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Mon, 30 Jun 2025 11:05:31 +0100 Subject: [PATCH 21/29] fix: added healthchecks --- compose.gcp.yaml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/compose.gcp.yaml b/compose.gcp.yaml index 1333128f..3cb8cf89 100644 --- a/compose.gcp.yaml +++ b/compose.gcp.yaml @@ -53,6 +53,11 @@ services: - GITHUB_ORGANISATION=${GITHUB_ORGANISATION} - GITHUB_REPO_NAME=${GITHUB_REPO_NAME} - PROJECT_ROOT=${PROJECT_ROOT} + healthcheck: + test: ["CMD", "nc", "-z", "localhost", "3001"] + interval: 30s + timeout: 10s + retries: 3 llm-server: build: @@ -64,6 +69,11 @@ services: - MAX_TOKENS=1000 - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} - GEMINI_API_KEY=${GEMINI_API_KEY} + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 llama-firewall: build: @@ -77,6 +87,11 @@ services: create_host_path: true environment: - HF_TOKEN=${HF_TOKEN} + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 orchestrator: build: From 1a0b66557c83b3fabba5696829cae20b84b10748 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Mon, 30 Jun 2025 11:08:01 +0100 Subject: [PATCH 22/29] refactor: making max tokens an enviroment variable --- compose.gcp.yaml | 2 +- setup_credentials.py | 5 +++++ sre_agent/client/client.py | 2 +- sre_agent/llm/utils/schemas.py | 2 +- 4 files changed, 8 insertions(+), 3 deletions(-) diff --git a/compose.gcp.yaml b/compose.gcp.yaml index 3cb8cf89..40747bc8 100644 --- a/compose.gcp.yaml +++ b/compose.gcp.yaml @@ -66,7 +66,7 @@ services: environment: - PROVIDER=${PROVIDER} - MODEL=${MODEL} - - MAX_TOKENS=1000 + - MAX_TOKENS=${MAX_TOKENS} - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} - GEMINI_API_KEY=${GEMINI_API_KEY} healthcheck: diff --git a/setup_credentials.py b/setup_credentials.py index 51381421..879068b7 100644 --- a/setup_credentials.py +++ b/setup_credentials.py @@ -89,6 +89,11 @@ def get_credential_config(platform: str) -> dict[str, dict[str, Any]]: "prompt": "Enter your Anthropic API Key: ", "mask_value": True, }, + "MAX_TOKENS": { + "prompt": "Controls the maximum number of tokens the LLM can generate in " + "its response e.g. 10000: ", + "mask_value": False, + }, "DEV_BEARER_TOKEN": { "prompt": "Enter a bearer token (password) for developers to " "directly invoke the agent via the `/diagnose` endpoint. " diff --git a/sre_agent/client/client.py b/sre_agent/client/client.py index c0754396..49cdef0c 100644 --- a/sre_agent/client/client.py +++ b/sre_agent/client/client.py @@ -77,7 +77,7 @@ async def _run_firewall_check(self, text: str, is_tool: bool = False) -> bool: response = requests.post( "http://llama-firewall:8000/check", json={"content": text, "is_tool": is_tool}, - timeout=10, + timeout=60, ) response.raise_for_status() diff --git a/sre_agent/llm/utils/schemas.py b/sre_agent/llm/utils/schemas.py index 462c4a69..d8fccac4 100644 --- a/sre_agent/llm/utils/schemas.py +++ b/sre_agent/llm/utils/schemas.py @@ -27,5 +27,5 @@ class LLMSettings(BaseSettings): ) model: str = Field(description="The name of the model.", default="") max_tokens: int | None = Field( - description="The maximum number of tokens for generation.", default=None + description="The maximum number of tokens for generation.", default=10000 ) From ff973b52c89b70cd36ce0bf8cd03308166c312e2 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 11:28:37 +0100 Subject: [PATCH 23/29] feature: added caching to gemini model --- sre_agent/llm/utils/clients.py | 51 +++++++++++++++++++++++++++------- 1 file changed, 41 insertions(+), 10 deletions(-) diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index 05d3e9ab..b9fdf275 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -177,30 +177,59 @@ def __init__(self, settings: LLMSettings = LLMSettings()) -> None: """The constructor for the Gemini client.""" super().__init__(settings) self.client = genai.Client(api_key=os.getenv("GEMINI_API_KEY")) + self._cache = None + + def cache_tools(self, tools: list) -> list: + """A method for adding a cache block to tools.""" + if tools: + try: + from google.genai import types + + config = types.CreateCachedContentConfig( + tools=tools, + ttl="600s", + ) + self._cache = self.client.caches.create( + model=self.settings.model, config=config + ) + except Exception as e: + logger.warning(f"Failed to create Gemini cache: {e}") + pass + return tools def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" adapter = GeminiTextGenerationPayloadAdapter(payload) - messages, tools = adapter.adapt() - if not self.settings.max_tokens: - raise ValueError("Max tokens configuration has not been set.") + cached_tools = self.cache_tools(tools) + + # Use cache if available + config_kwargs = {"max_output_tokens": self.settings.max_tokens} + if self._cache: + config_kwargs["cached_content"] = self._cache.name + messages = [messages[-1]] if messages else [] + else: + config_kwargs["tools"] = cached_tools response = self.client.models.generate_content( model=self.settings.model, contents=messages, - config=types.GenerateContentConfig( - tools=tools, - max_output_tokens=self.settings.max_tokens, - ), + config=types.GenerateContentConfig(**config_kwargs), ) if response.usage_metadata: + # Log with cache information + cache_info = "" + if response.usage_metadata.cached_content_token_count: + cache_info = ( + f", Cache: {response.usage_metadata.cached_content_token_count}" + ) + logger.info( f"Token usage - Input: {response.usage_metadata.prompt_token_count}, " - f"Output: {response.usage_metadata.candidates_token_count}, " - f"Cache: {response.usage_metadata.cached_content_token_count}, " + f"Output: {response.usage_metadata.candidates_token_count}" + f"{cache_info}, " f"Tools: {response.usage_metadata.tool_use_prompt_token_count}, " f"Total: {response.usage_metadata.total_token_count}" ) @@ -219,7 +248,9 @@ def generate(self, payload: TextGenerationPayload) -> Message: usage=Usage( input_tokens=response.usage_metadata.prompt_token_count, output_tokens=response.usage_metadata.candidates_token_count, - cache_creation_input_tokens=None, + cache_creation_input_tokens=response.usage_metadata.cache_creation_token_count + if hasattr(response.usage_metadata, "cache_creation_token_count") + else None, cache_read_input_tokens=response.usage_metadata.cached_content_token_count, ) if response.usage_metadata From 94d1cc39f73d675287e3bdd489fe4ca7700bd0bd Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 11:30:12 +0100 Subject: [PATCH 24/29] docs: added link to security blog --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 793d8617..54709147 100644 --- a/README.md +++ b/README.md @@ -40,7 +40,6 @@ The SRE Agent supports multiple the following LLM providers: - **Models**: e.g, "gemini-2.5-flash" - **Setup**: Requires `GEMINI_API_KEY` - ## 🛠️ Prerequisites - [Docker](https://docs.docker.com/get-docker/) @@ -233,3 +232,4 @@ Check out our blog posts for insights and updates: - [Bringing Agentic AI into the Real World](https://www.fuzzylabs.ai/blog-post/bringing-agentic-ai-into-the-real-world) - [How We're Building an Autonomous SRE with FastMCP](https://www.fuzzylabs.ai/blog-post/how-were-building-an-autonomous-sre-with-fastmcp) +- [Can we trust an agent in Prod?](https://www.fuzzylabs.ai/blog-post/can-we-trust-an-agent-in-prod) From 4b68aa6ef9966f050ccdf437ef8ba0b54677cfe6 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 12:11:29 +0100 Subject: [PATCH 25/29] chore: revert change --- sre_agent/llm/utils/clients.py | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index b9fdf275..b53a735e 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -220,16 +220,11 @@ def generate(self, payload: TextGenerationPayload) -> Message: if response.usage_metadata: # Log with cache information - cache_info = "" - if response.usage_metadata.cached_content_token_count: - cache_info = ( - f", Cache: {response.usage_metadata.cached_content_token_count}" - ) logger.info( f"Token usage - Input: {response.usage_metadata.prompt_token_count}, " - f"Output: {response.usage_metadata.candidates_token_count}" - f"{cache_info}, " + f"Output: {response.usage_metadata.candidates_token_count}, " + f"Cache: {response.usage_metadata.cached_content_token_count}, " f"Tools: {response.usage_metadata.tool_use_prompt_token_count}, " f"Total: {response.usage_metadata.total_token_count}" ) From a360170fe92a573fe7555c4786eeb51690710fa9 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 12:35:36 +0100 Subject: [PATCH 26/29] refactor: reducing max output tokens --- setup_credentials.py | 2 +- sre_agent/client/utils/schemas.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/setup_credentials.py b/setup_credentials.py index 879068b7..9937a841 100644 --- a/setup_credentials.py +++ b/setup_credentials.py @@ -91,7 +91,7 @@ def get_credential_config(platform: str) -> dict[str, dict[str, Any]]: }, "MAX_TOKENS": { "prompt": "Controls the maximum number of tokens the LLM can generate in " - "its response e.g. 10000: ", + "its response e.g. 8000: ", "mask_value": False, }, "DEV_BEARER_TOKEN": { diff --git a/sre_agent/client/utils/schemas.py b/sre_agent/client/utils/schemas.py index b4b4e48a..5a6f2cf4 100644 --- a/sre_agent/client/utils/schemas.py +++ b/sre_agent/client/utils/schemas.py @@ -68,7 +68,7 @@ class ClientConfig: default_factory=lambda: json.loads(os.getenv("TOOLS", "[]")) ) model: str = os.getenv("LLM_MODEL", "claude-3-7-sonnet-latest") - max_tokens: int = 1000 + max_tokens: int = 8000 max_tool_retries: int = 3 query_timeout: int = int( os.getenv("QUERY_TIMEOUT", DEFAULT_QUERY_TIMEOUT) or DEFAULT_QUERY_TIMEOUT From a20f7b3f032d02709ae4f778938ee7ac047ceaba Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 12:36:30 +0100 Subject: [PATCH 27/29] refactor: changed models in docs to ones that have been tested --- README.md | 2 +- docs/credentials.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ba8ccb13..228808a0 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ We've been writing blogs and sharing our learnings along the way. Check out our The SRE Agent supports multiple the following LLM providers: ### Anthropic -- **Models**: e.g. "claude-4-0-sonnet-latest" +- **Models**: e.g. "claude-3-7-sonnet-latest" - **Setup**: Requires `ANTHROPIC_API_KEY` ### Google Gemini diff --git a/docs/credentials.md b/docs/credentials.md index ed576ead..454c458a 100644 --- a/docs/credentials.md +++ b/docs/credentials.md @@ -21,7 +21,7 @@ The following credentials must be retrieved prior to running the agent. These cr > **Note**: You only need to configure **one** LLM provider. Choose either Anthropic or Google Gemini and provide the corresponding API key. - **PROVIDER**: The LLM provider name (e.g., "anthropic", "google"). -- **MODEL**: The specific model name to use (e.g., "claude-3-5-sonnet-20241022", "gemini-1.5-pro"). +- **MODEL**: The specific model name to use (e.g., "claude-3-7-sonnet-latest", "gemini-2.5-flash"). **Choose one of the following:** - **ANTHROPIC_API_KEY**: An API key for Anthropic Claude models *(required if using Anthropic provider)*. From 2cc82cc24498aa8a44ae95d6018b6bbf9baff079 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 12:41:28 +0100 Subject: [PATCH 28/29] chore: typing --- sre_agent/llm/utils/clients.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index b53a735e..1a51e0bb 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -9,6 +9,7 @@ from anthropic.types import ToolParam from google import genai from google.genai import types +from google.genai.types import CachedContent from pydantic import BaseModel from shared.logger import logger # type: ignore from shared.schemas import ( # type: ignore @@ -177,26 +178,30 @@ def __init__(self, settings: LLMSettings = LLMSettings()) -> None: """The constructor for the Gemini client.""" super().__init__(settings) self.client = genai.Client(api_key=os.getenv("GEMINI_API_KEY")) - self._cache = None + self._cache: CachedContent | None = None + self._cache_enabled = self.settings.gemini_enable_caching - def cache_tools(self, tools: list) -> list: - """A method for adding a cache block to tools.""" - if tools: + def cache_tools(self, tools: list[Any]) -> list[Any]: + """Cache tools similar to Claude - return original tools.""" + if self._cache_enabled and tools: try: from google.genai import types config = types.CreateCachedContentConfig( tools=tools, - ttl="600s", + ttl=self.settings.gemini_cache_ttl, ) self._cache = self.client.caches.create( model=self.settings.model, config=config ) except Exception as e: logger.warning(f"Failed to create Gemini cache: {e}") - pass return tools + def cache_messages(self, messages: list[Any]) -> list[Any]: + """Cache messages similar to Claude - return original messages.""" + return messages + def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" adapter = GeminiTextGenerationPayloadAdapter(payload) From ea2c83cd61910a59d4f378ee60aafb50e7f83a79 Mon Sep 17 00:00:00 2001 From: YazIbrahim <29870124+YazIbrahim@users.noreply.github.com> Date: Tue, 1 Jul 2025 13:14:27 +0100 Subject: [PATCH 29/29] chore: revert change --- sre_agent/llm/utils/clients.py | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/sre_agent/llm/utils/clients.py b/sre_agent/llm/utils/clients.py index 1a51e0bb..47f63507 100644 --- a/sre_agent/llm/utils/clients.py +++ b/sre_agent/llm/utils/clients.py @@ -179,17 +179,16 @@ def __init__(self, settings: LLMSettings = LLMSettings()) -> None: super().__init__(settings) self.client = genai.Client(api_key=os.getenv("GEMINI_API_KEY")) self._cache: CachedContent | None = None - self._cache_enabled = self.settings.gemini_enable_caching def cache_tools(self, tools: list[Any]) -> list[Any]: - """Cache tools similar to Claude - return original tools.""" - if self._cache_enabled and tools: + """A method for adding a cache block to tools.""" + if tools: try: from google.genai import types config = types.CreateCachedContentConfig( tools=tools, - ttl=self.settings.gemini_cache_ttl, + ttl="600s", ) self._cache = self.client.caches.create( model=self.settings.model, config=config @@ -198,10 +197,6 @@ def cache_tools(self, tools: list[Any]) -> list[Any]: logger.warning(f"Failed to create Gemini cache: {e}") return tools - def cache_messages(self, messages: list[Any]) -> list[Any]: - """Cache messages similar to Claude - return original messages.""" - return messages - def generate(self, payload: TextGenerationPayload) -> Message: """A method for generating text using the Gemini API.""" adapter = GeminiTextGenerationPayloadAdapter(payload)