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Merge branch 'main' into salmanap/add-support-for-bedrock-llms

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Adil Hafeez 2025-10-22 11:13:13 -07:00
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154
.github/workflows/ghrc-push-main.yml vendored
View file

@ -1,88 +1,88 @@
# name: Publish docker image to ghcr (latest) name: Publish docker image to ghcr (latest)
# env: env:
# IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/archgw IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/archgw
# on: on:
# push: push:
# branches: [main] branches: [main]
# jobs: jobs:
# build-arm64: build-arm64:
# runs-on: [linux-arm64] runs-on: [linux-arm64]
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: actions/checkout@v4 - uses: actions/checkout@v4
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value=latest type=raw,value=latest
# - name: Build and Push ARM64 Image - name: Build and Push ARM64 Image
# uses: docker/build-push-action@v5 uses: docker/build-push-action@v5
# with: with:
# context: . context: .
# file: ./arch/Dockerfile file: ./arch/Dockerfile
# platforms: linux/arm64 platforms: linux/arm64
# push: true push: true
# # produce ghcr.io/<owner>/archgw:latest-arm64 # produce ghcr.io/<owner>/archgw:latest-arm64
# tags: ${{ steps.meta.outputs.tags }}-arm64 tags: ${{ steps.meta.outputs.tags }}-arm64
# build-amd64: build-amd64:
# runs-on: ubuntu-latest runs-on: ubuntu-latest
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: actions/checkout@v4 - uses: actions/checkout@v4
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value=latest type=raw,value=latest
# - name: Build and Push AMD64 Image - name: Build and Push AMD64 Image
# uses: docker/build-push-action@v5 uses: docker/build-push-action@v5
# with: with:
# context: . context: .
# file: ./arch/Dockerfile file: ./arch/Dockerfile
# platforms: linux/amd64 platforms: linux/amd64
# push: true push: true
# tags: ${{ steps.meta.outputs.tags }}-amd64 tags: ${{ steps.meta.outputs.tags }}-amd64
# create-manifest: create-manifest:
# runs-on: ubuntu-latest runs-on: ubuntu-latest
# needs: [build-arm64, build-amd64] needs: [build-arm64, build-amd64]
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value=latest type=raw,value=latest
# - name: Create Multi-Arch Manifest - name: Create Multi-Arch Manifest
# run: | run: |
# docker buildx imagetools create -t ${{ steps.meta.outputs.tags }} \ docker buildx imagetools create -t ${{ steps.meta.outputs.tags }} \
# ${{ env.IMAGE_NAME }}:latest-arm64 \ ${{ env.IMAGE_NAME }}:latest-arm64 \
# ${{ env.IMAGE_NAME }}:latest-amd64 ${{ env.IMAGE_NAME }}:latest-amd64

152
.github/workflows/ghrc-push-release.yml vendored
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@ -1,87 +1,87 @@
# name: release - publish docker image to ghcr (latest) name: release - publish docker image to ghcr (latest)
# env: env:
# IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/archgw IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/archgw
# on: on:
# release: release:
# types: [published] types: [published]
# jobs: jobs:
# build-arm64: build-arm64:
# runs-on: [linux-arm64] runs-on: [linux-arm64]
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: actions/checkout@v4 - uses: actions/checkout@v4
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value={{tag}} type=raw,value={{tag}}
# - name: Build and Push ARM64 Image - name: Build and Push ARM64 Image
# uses: docker/build-push-action@v5 uses: docker/build-push-action@v5
# with: with:
# context: . context: .
# file: ./arch/Dockerfile file: ./arch/Dockerfile
# platforms: linux/arm64 platforms: linux/arm64
# push: true push: true
# tags: ${{ steps.meta.outputs.tags }}-arm64 tags: ${{ steps.meta.outputs.tags }}-arm64
# build-amd64: build-amd64:
# runs-on: ubuntu-latest runs-on: ubuntu-latest
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: actions/checkout@v4 - uses: actions/checkout@v4
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value={{tag}} type=raw,value={{tag}}
# - name: Build and Push AMD64 Image - name: Build and Push AMD64 Image
# uses: docker/build-push-action@v5 uses: docker/build-push-action@v5
# with: with:
# context: . context: .
# file: ./arch/Dockerfile file: ./arch/Dockerfile
# platforms: linux/amd64 platforms: linux/amd64
# push: true push: true
# tags: ${{ steps.meta.outputs.tags }}-amd64 tags: ${{ steps.meta.outputs.tags }}-amd64
# create-manifest: create-manifest:
# runs-on: ubuntu-latest runs-on: ubuntu-latest
# needs: [build-arm64, build-amd64] needs: [build-arm64, build-amd64]
# permissions: { contents: read, packages: write } permissions: { contents: read, packages: write }
# steps: steps:
# - uses: docker/login-action@v3 - uses: docker/login-action@v3
# with: with:
# registry: ghcr.io registry: ghcr.io
# username: ${{ github.actor }} username: ${{ github.actor }}
# password: ${{ secrets.GITHUB_TOKEN }} password: ${{ secrets.GITHUB_TOKEN }}
# - id: meta - id: meta
# uses: docker/metadata-action@v5 uses: docker/metadata-action@v5
# with: with:
# images: ${{ env.IMAGE_NAME }} images: ${{ env.IMAGE_NAME }}
# tags: | tags: |
# type=raw,value={{tag}} type=raw,value={{tag}}
# - name: Create Multi-Arch Manifest - name: Create Multi-Arch Manifest
# run: | run: |
# docker buildx imagetools create -t ${{ steps.meta.outputs.tags }} \ docker buildx imagetools create -t ${{ steps.meta.outputs.tags }} \
# ${{ steps.meta.outputs.tags }}-arm64 \ ${{ steps.meta.outputs.tags }}-arm64 \
# ${{ steps.meta.outputs.tags }}-amd64 ${{ steps.meta.outputs.tags }}-amd64

14
README.md
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@ -1,10 +1,10 @@
<div align="center"> <div align="center">
<img src="docs/source/_static/img/arch-logo.png" alt="Arch Logo" width="75%" heigh=auto> <img src="docs/source/_static/img/arch-logo.png" alt="Arch Logo" width="75%" height=auto>
</div> </div>
<div align="center"> <div align="center">
_Arch is a modular ai-native edge and AI gateway for agents._<br><br> _Arch is a smart edge and LLM proxy server for agents._<br><br>
Arch handles the *pesky low-level work* in building agentic apps — like applying guardrails, clarifying vague user input, routing prompts to the right agent, and unifying access to any LLM. It’s a language and framework friendly infrastructure layer designed to help you build and ship agentic apps faster. Arch handles the *pesky low-level work* in building agentic apps — like applying guardrails, clarifying vague user input, routing prompts to the right agent, and unifying access to any LLM. It’s a language and framework friendly infrastructure layer designed to help you build and ship agentic apps faster.
@ -64,8 +64,8 @@ To get in touch with us, please join our [discord server](https://discord.gg/pGZ
## Demos ## Demos
* [Sample App: Weather Forecast Agent](demos/samples_python/weather_forecast/README.md) - A sample agentic weather forecasting app that highlights core function calling capabilities of Arch. * [Sample App: Weather Forecast Agent](demos/samples_python/weather_forecast/README.md) - A sample agentic weather forecasting app that highlights core function calling capabilities of Arch.
* [Sample App: Network Operator Agent](demos/samples_python/network_switch_operator_agent/README.md) - A simple network device switch operator agent that can retrive device statistics and reboot them. * [Sample App: Network Operator Agent](demos/samples_python/network_switch_operator_agent/README.md) - A simple network device switch operator agent that can retrieve device statistics and reboot them.
* [User Case: Connecting to SaaS APIs](demos/use_cases/spotify_bearer_auth) - Connect 3rd party SaaS APIs to your agentic chat experience. * [Use Case: Connecting to SaaS APIs](demos/use_cases/spotify_bearer_auth) - Connect 3rd party SaaS APIs to your agentic chat experience.
## Quickstart ## Quickstart
@ -254,7 +254,7 @@ prompt_targets:
type: str type: str
in_path: true in_path: true
endpoint: endpoint:
name: frankfurther_api name: frankfurter_api
path: /v1/latest?base=USD&symbols={currency_symbol} path: /v1/latest?base=USD&symbols={currency_symbol}
system_prompt: | system_prompt: |
You are a helpful assistant. Show me the currency symbol you want to convert from USD. You are a helpful assistant. Show me the currency symbol you want to convert from USD.
@ -262,11 +262,11 @@ prompt_targets:
- name: get_supported_currencies - name: get_supported_currencies
description: Get list of supported currencies for conversion description: Get list of supported currencies for conversion
endpoint: endpoint:
name: frankfurther_api name: frankfurter_api
path: /v1/currencies path: /v1/currencies
endpoints: endpoints:
frankfurther_api: frankfurter_api:
endpoint: api.frankfurter.dev:443 endpoint: api.frankfurter.dev:443
protocol: https protocol: https
``` ```

2
arch/Dockerfile
View file

@ -32,7 +32,7 @@ COPY --from=envoy /usr/local/bin/envoy /usr/local/bin/envoy
WORKDIR /app WORKDIR /app
COPY arch/requirements.txt . COPY arch/requirements.txt .
RUN pip install -r requirements.txt RUN pip install -r requirements.txt
COPY arch/tools/cli/config_generator.py . COPY arch/tools .
COPY arch/envoy.template.yaml . COPY arch/envoy.template.yaml .
COPY arch/arch_config_schema.yaml . COPY arch/arch_config_schema.yaml .
COPY arch/supervisord.conf /etc/supervisor/conf.d/supervisord.conf COPY arch/supervisord.conf /etc/supervisor/conf.d/supervisord.conf

139
arch/arch_config_schema.yaml
View file

@ -8,46 +8,76 @@ properties:
- v0.1.0 - v0.1.0
- 0.1-beta - 0.1-beta
- 0.2.0 - 0.2.0
- v0.3.0
agents:
type: array
items:
type: object
listeners: listeners:
type: object oneOf:
additionalProperties: false - type: array
properties:
ingress_traffic:
type: object
properties:
address:
type: string
port:
type: integer
message_format:
type: string
enum:
- openai
timeout:
type: string
additionalProperties: false additionalProperties: false
egress_traffic: items:
type: object type: object
properties: properties:
address: name:
type: string type: string
port: port:
type: integer type: integer
message_format: address:
type: string type: string
enum: timeout:
- openai type: string
timeout: type:
type: string type: string
enum:
- model
- prompt
- agent
required:
- type
- name
- type: object # deprecated legacy format, use list format instead
additionalProperties: false additionalProperties: false
properties:
ingress_traffic:
type: object
properties:
address:
type: string
port:
type: integer
message_format:
type: string
enum:
- openai
timeout:
type: string
additionalProperties: false
egress_traffic:
type: object
properties:
address:
type: string
port:
type: integer
message_format:
type: string
enum:
- openai
timeout:
type: string
additionalProperties: false
endpoints: endpoints:
type: object type: object
patternProperties: patternProperties:
"^.*$": "^[a-zA-Z][a-zA-Z0-9_]*$":
type: object type: object
properties: properties:
endpoint: endpoint:
type: string type: string
pattern: "^.*$"
connect_timeout: connect_timeout:
type: string type: string
protocol: protocol:
@ -60,7 +90,52 @@ properties:
additionalProperties: false additionalProperties: false
required: required:
- endpoint - endpoint
llm_providers:
model_providers:
type: array
items:
type: object
properties:
name:
type: string
access_key:
type: string
model:
type: string
default:
type: boolean
base_url:
type: string
http_host:
type: string
provider_interface:
type: string
enum:
- arch
- claude
- deepseek
- groq
- mistral
- openai
- gemini
routing_preferences:
type: array
items:
type: object
properties:
name:
type: string
description:
type: string
additionalProperties: false
required:
- name
- description
additionalProperties: false
required:
- model
llm_providers: # deprecated for legacy support, use model_providers instead
type: array type: array
items: items:
type: object type: object
@ -282,4 +357,4 @@ properties:
additionalProperties: false additionalProperties: false
required: required:
- version - version
- llm_providers - listeners

114
arch/envoy.template.yaml
View file

@ -128,7 +128,7 @@ static_resources:
domains: domains:
- "*" - "*"
routes: routes:
{% for provider in arch_llm_providers %} {% for provider in arch_model_providers %}
# if endpoint is set then use custom cluster for upstream llm # if endpoint is set then use custom cluster for upstream llm
{% if provider.endpoint %} {% if provider.endpoint %}
{% set llm_cluster_name = provider.cluster_name %} {% set llm_cluster_name = provider.cluster_name %}
@ -218,7 +218,7 @@ static_resources:
typed_config: typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
- name: egress_api_traffic - name: outbound_api_traffic
address: address:
socket_address: socket_address:
address: 0.0.0.0 address: 0.0.0.0
@ -240,11 +240,11 @@ static_resources:
envoy_grpc: envoy_grpc:
cluster_name: opentelemetry_collector cluster_name: opentelemetry_collector
timeout: 0.250s timeout: 0.250s
service_name: egress_api_traffic service_name: outbound_api_traffic
random_sampling: random_sampling:
value: {{ arch_tracing.random_sampling }} value: {{ arch_tracing.random_sampling }}
{% endif %} {% endif %}
stat_prefix: egress_api_traffic stat_prefix: outbound_api_traffic
codec_type: AUTO codec_type: AUTO
scheme_header_transformation: scheme_header_transformation:
scheme_to_overwrite: https scheme_to_overwrite: https
@ -292,6 +292,108 @@ static_resources:
typed_config: typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
{% for listener in listeners %}
{% if listener.agents %}
- name: {{ listener.name | replace(" ", "_") }}
address:
socket_address:
address: 0.0.0.0
port_value: {{ listener.port }}
filter_chains:
- filters:
- name: envoy.filters.network.http_connection_manager
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
{% if "random_sampling" in arch_tracing and arch_tracing["random_sampling"] > 0 %}
generate_request_id: true
tracing:
provider:
name: envoy.tracers.opentelemetry
typed_config:
"@type": type.googleapis.com/envoy.config.trace.v3.OpenTelemetryConfig
grpc_service:
envoy_grpc:
cluster_name: opentelemetry_collector
timeout: 0.250s
service_name: arch_gateway
random_sampling:
value: {{ arch_tracing.random_sampling }}
{% endif %}
stat_prefix: {{ listener.name | replace(" ", "_") }}_traffic
codec_type: AUTO
scheme_header_transformation:
scheme_to_overwrite: https
access_log:
- name: envoy.access_loggers.file
typed_config:
"@type": type.googleapis.com/envoy.extensions.access_loggers.file.v3.FileAccessLog
path: "/var/log/access_llm.log"
route_config:
name: local_routes
request_headers_to_add:
- header:
key: "x-arch-agent-listener-name"
value: "{{ listener.name }}"
virtual_hosts:
- name: local_service
domains:
- "*"
routes:
- match:
prefix: "/healthz"
direct_response:
status: 200
- match:
prefix: "/"
route:
auto_host_rewrite: true
prefix_rewrite: "/agents/"
cluster: bright_staff
timeout: {{ llm_gateway_listener.timeout }}
http_filters:
- name: envoy.filters.http.compressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.compressor.v3.Compressor
compressor_library:
name: envoy.compression.brotli.compressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.compression.brotli.compressor.v3.Brotli
- name: envoy.filters.http.compressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.compressor.v3.Compressor
compressor_library:
name: compress
typed_config:
"@type": type.googleapis.com/envoy.extensions.compression.gzip.compressor.v3.Gzip
memory_level: 3
window_bits: 10
- name: envoy.filters.http.decompressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.decompressor.v3.Decompressor
decompressor_library:
name: decompress
typed_config:
"@type": "type.googleapis.com/envoy.extensions.compression.gzip.decompressor.v3.Gzip"
window_bits: 9
chunk_size: 8192
# If this ratio is set too low, then body data will not be decompressed completely.
max_inflate_ratio: 1000
- name: envoy.filters.http.decompressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.decompressor.v3.Decompressor
decompressor_library:
name: envoy.compression.brotli.decompressor
typed_config:
"@type": type.googleapis.com/envoy.extensions.compression.brotli.decompressor.v3.Brotli
- name: envoy.filters.http.router
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
{% endif %}
{% endfor %}
- name: egress_traffic - name: egress_traffic
address: address:
socket_address: socket_address:
@ -428,7 +530,7 @@ static_resources:
domains: domains:
- "*" - "*"
routes: routes:
{% for provider in arch_llm_providers %} {% for provider in arch_model_providers %}
# if endpoint is set then use custom cluster for upstream llm # if endpoint is set then use custom cluster for upstream llm
{% if provider.endpoint %} {% if provider.endpoint %}
{% set llm_cluster_name = provider.cluster_name %} {% set llm_cluster_name = provider.cluster_name %}
@ -796,7 +898,7 @@ static_resources:
address: address:
socket_address: socket_address:
address: host.docker.internal address: host.docker.internal
port_value: $MODEL_SERVER_PORT port_value: 51000
hostname: {{ internal_cluster }} hostname: {{ internal_cluster }}
{% endfor %} {% endfor %}
- name: mistral_7b_instruct - name: mistral_7b_instruct

2
arch/supervisord.conf
View file

@ -9,7 +9,7 @@ stdout_logfile_maxbytes=0
stderr_logfile_maxbytes=0 stderr_logfile_maxbytes=0
[program:envoy] [program:envoy]
command=/bin/sh -c "python /app/config_generator.py && envsubst < /etc/envoy/envoy.yaml > /etc/envoy.env_sub.yaml && envoy -c /etc/envoy.env_sub.yaml --component-log-level wasm:info --log-format '[%%Y-%%m-%%d %%T.%%e][%%l] %%v' 2>&1 | tee /var/log/envoy.log | while IFS= read -r line; do echo '[envoy_logs] ' \"$line\"; done" command=/bin/sh -c "python -m cli.config_generator && envsubst < /etc/envoy/envoy.yaml > /etc/envoy.env_sub.yaml && envoy -c /etc/envoy.env_sub.yaml --component-log-level wasm:info --log-format '[%%Y-%%m-%%d %%T.%%e][%%l] %%v' 2>&1 | tee /var/log/envoy.log | while IFS= read -r line; do echo '[envoy_logs] ' \"$line\"; done"
stdout_logfile=/dev/stdout stdout_logfile=/dev/stdout
redirect_stderr=true redirect_stderr=true
stdout_logfile_maxbytes=0 stdout_logfile_maxbytes=0

322
arch/tools/cli/config_generator.py
View file

@ -1,9 +1,11 @@
import json import json
import os import os
from cli.utils import convert_legacy_listeners
from jinja2 import Environment, FileSystemLoader from jinja2 import Environment, FileSystemLoader
import yaml import yaml
from jsonschema import validate from jsonschema import validate
from urllib.parse import urlparse from urllib.parse import urlparse
from copy import deepcopy
SUPPORTED_PROVIDERS = [ SUPPORTED_PROVIDERS = [
@ -73,17 +75,58 @@ def validate_and_render_schema():
_ = yaml.safe_load(arch_config_schema) _ = yaml.safe_load(arch_config_schema)
inferred_clusters = {} inferred_clusters = {}
# Convert legacy llm_providers to model_providers
if "llm_providers" in config_yaml:
if "model_providers" in config_yaml:
raise Exception(
"Please provide either llm_providers or model_providers, not both. llm_providers is deprecated, please use model_providers instead"
)
config_yaml["model_providers"] = config_yaml["llm_providers"]
del config_yaml["llm_providers"]
listeners, llm_gateway, prompt_gateway = convert_legacy_listeners(
config_yaml.get("listeners"), config_yaml.get("model_providers")
)
config_yaml["listeners"] = listeners
endpoints = config_yaml.get("endpoints", {}) endpoints = config_yaml.get("endpoints", {})
# Process agents section and convert to endpoints
agents = config_yaml.get("agents", [])
for agent in agents:
agent_id = agent.get("id")
agent_endpoint = agent.get("url")
if agent_id and agent_endpoint:
urlparse_result = urlparse(agent_endpoint)
if urlparse_result.scheme and urlparse_result.hostname:
protocol = urlparse_result.scheme
port = urlparse_result.port
if port is None:
if protocol == "http":
port = 80
else:
port = 443
endpoints[agent_id] = {
"endpoint": urlparse_result.hostname,
"port": port,
"protocol": protocol,
}
# override the inferred clusters with the ones defined in the config # override the inferred clusters with the ones defined in the config
for name, endpoint_details in endpoints.items(): for name, endpoint_details in endpoints.items():
inferred_clusters[name] = endpoint_details inferred_clusters[name] = endpoint_details
endpoint = inferred_clusters[name]["endpoint"] # Only call get_endpoint_and_port for manually defined endpoints, not agent-derived ones
protocol = inferred_clusters[name].get("protocol", "http") if "port" not in endpoint_details:
( endpoint = inferred_clusters[name]["endpoint"]
inferred_clusters[name]["endpoint"], protocol = inferred_clusters[name].get("protocol", "http")
inferred_clusters[name]["port"], (
) = get_endpoint_and_port(endpoint, protocol) inferred_clusters[name]["endpoint"],
inferred_clusters[name]["port"],
) = get_endpoint_and_port(endpoint, protocol)
print("defined clusters from arch_config.yaml: ", json.dumps(inferred_clusters)) print("defined clusters from arch_config.yaml: ", json.dumps(inferred_clusters))
@ -100,117 +143,151 @@ def validate_and_render_schema():
arch_tracing = config_yaml.get("tracing", {}) arch_tracing = config_yaml.get("tracing", {})
llms_with_endpoint = [] llms_with_endpoint = []
updated_llm_providers = [] updated_model_providers = []
model_provider_name_set = set()
llm_provider_name_set = set() llms_with_usage = []
model_name_keys = set() model_name_keys = set()
model_usage_name_keys = set() model_usage_name_keys = set()
for llm_provider in config_yaml["llm_providers"]:
if llm_provider.get("name") in llm_provider_name_set:
raise Exception(
f"Duplicate llm_provider name {llm_provider.get('name')}, please provide unique name for each llm_provider"
)
model_name = llm_provider.get("model") print("listeners: ", listeners)
if model_name in model_name_keys:
raise Exception(
f"Duplicate model name {model_name}, please provide unique model name for each llm_provider"
)
model_name_keys.add(model_name) for listener in listeners:
if llm_provider.get("name") is None:
llm_provider["name"] = model_name
llm_provider_name_set.add(llm_provider.get("name"))
model_name_tokens = model_name.split("/")
if len(model_name_tokens) < 2:
raise Exception(
f"Invalid model name {model_name}. Please provide model name in the format <provider>/<model_id>."
)
provider = model_name_tokens[0]
# Validate azure_openai and ollama provider requires base_url
if ( if (
provider == "azure_openai" listener.get("model_providers") is None
or provider == "ollama" or listener.get("model_providers") == []
or provider == "qwen" ):
or provider == "amazon_bedrock" continue
) and llm_provider.get("base_url") is None: print("Processing listener with model_providers: ", listener)
raise Exception( name = listener.get("name", None)
f"Provider '{provider}' requires 'base_url' to be set for model {model_name}"
)
model_id = "/".join(model_name_tokens[1:]) for model_provider in listener.get("model_providers", []):
if provider not in SUPPORTED_PROVIDERS: if model_provider.get("usage", None):
llms_with_usage.append(model_provider["name"])
if model_provider.get("name") in model_provider_name_set:
raise Exception(
f"Duplicate model_provider name {model_provider.get('name')}, please provide unique name for each model_provider"
)
model_name = model_provider.get("model")
print("Processing model_provider: ", model_provider)
if model_name in model_name_keys:
raise Exception(
f"Duplicate model name {model_name}, please provide unique model name for each model_provider"
)
model_name_keys.add(model_name)
if model_provider.get("name") is None:
model_provider["name"] = model_name
model_provider_name_set.add(model_provider.get("name"))
model_name_tokens = model_name.split("/")
if len(model_name_tokens) < 2:
raise Exception(
f"Invalid model name {model_name}. Please provide model name in the format <provider>/<model_id>."
)
provider = model_name_tokens[0]
# Validate azure_openai and ollama provider requires base_url
if ( if (
llm_provider.get("base_url", None) is None provider == "azure_openai"
or llm_provider.get("provider_interface", None) is None or provider == "ollama"
or provider == "qwen"
or provider == "amazon_bedrock"
) and model_provider.get("base_url") is None:
raise Exception(
f"Provider '{provider}' requires 'base_url' to be set for model {model_name}"
)
model_id = "/".join(model_name_tokens[1:])
if provider not in SUPPORTED_PROVIDERS:
if (
model_provider.get("base_url", None) is None
or model_provider.get("provider_interface", None) is None
):
raise Exception(
f"Must provide base_url and provider_interface for unsupported provider {provider} for model {model_name}. Supported providers are: {', '.join(SUPPORTED_PROVIDERS)}"
)
provider = model_provider.get("provider_interface", None)
elif model_provider.get("provider_interface", None) is not None:
raise Exception(
f"Please provide provider interface as part of model name {model_name} using the format <provider>/<model_id>. For example, use 'openai/gpt-3.5-turbo' instead of 'gpt-3.5-turbo' "
)
if model_id in model_name_keys:
raise Exception(
f"Duplicate model_id {model_id}, please provide unique model_id for each model_provider"
)
model_name_keys.add(model_id)
for routing_preference in model_provider.get("routing_preferences", []):
if routing_preference.get("name") in model_usage_name_keys:
raise Exception(
f"Duplicate routing preference name \"{routing_preference.get('name')}\", please provide unique name for each routing preference"
)
model_usage_name_keys.add(routing_preference.get("name"))
model_provider["model"] = model_id
model_provider["provider_interface"] = provider
model_provider_name_set.add(model_provider.get("name"))
if model_provider.get("provider") and model_provider.get(
"provider_interface"
): ):
raise Exception( raise Exception(
f"Must provide base_url and provider_interface for unsupported provider {provider} for model {model_name}. Supported providers are: {', '.join(SUPPORTED_PROVIDERS)}" "Please provide either provider or provider_interface, not both"
) )
provider = llm_provider.get("provider_interface", None) if model_provider.get("provider"):
elif llm_provider.get("provider_interface", None) is not None: provider = model_provider["provider"]
raise Exception( model_provider["provider_interface"] = provider
f"Please provide provider interface as part of model name {model_name} using the format <provider>/<model_id>. For example, use 'openai/gpt-3.5-turbo' instead of 'gpt-3.5-turbo' " del model_provider["provider"]
) updated_model_providers.append(model_provider)
if model_id in model_name_keys: if model_provider.get("base_url", None):
raise Exception( base_url = model_provider["base_url"]
f"Duplicate model_id {model_id}, please provide unique model_id for each llm_provider" urlparse_result = urlparse(base_url)
) url_path = urlparse_result.path
model_name_keys.add(model_id) if url_path and url_path != "/":
raise Exception(
for routing_preference in llm_provider.get("routing_preferences", []): f"Please provide base_url without path, got {base_url}. Use base_url like 'http://example.com' instead of 'http://example.com/path'."
if routing_preference.get("name") in model_usage_name_keys: )
raise Exception( if urlparse_result.scheme == "" or urlparse_result.scheme not in [
f"Duplicate routing preference name \"{routing_preference.get('name')}\", please provide unique name for each routing preference" "http",
) "https",
model_usage_name_keys.add(routing_preference.get("name")) ]:
raise Exception(
llm_provider["model"] = model_id "Please provide a valid URL with scheme (http/https) in base_url"
llm_provider["provider_interface"] = provider )
updated_llm_providers.append(llm_provider) protocol = urlparse_result.scheme
port = urlparse_result.port
if llm_provider.get("base_url", None): if port is None:
base_url = llm_provider["base_url"] if protocol == "http":
urlparse_result = urlparse(base_url) port = 80
url_path = urlparse_result.path else:
if url_path and url_path != "/": port = 443
raise Exception( endpoint = urlparse_result.hostname
f"Please provide base_url without path, got {base_url}. Use base_url like 'http://example.com' instead of 'http://example.com/path'." model_provider["endpoint"] = endpoint
) model_provider["port"] = port
if urlparse_result.scheme == "" or urlparse_result.scheme not in [ model_provider["protocol"] = protocol
"http", model_provider["cluster_name"] = (
"https", provider + "_" + endpoint
]: ) # make name unique by appending endpoint
raise Exception( llms_with_endpoint.append(model_provider)
"Please provide a valid URL with scheme (http/https) in base_url"
)
protocol = urlparse_result.scheme
port = urlparse_result.port
if port is None:
if protocol == "http":
port = 80
else:
port = 443
endpoint = urlparse_result.hostname
llm_provider["endpoint"] = endpoint
llm_provider["port"] = port
llm_provider["protocol"] = protocol
llm_provider["cluster_name"] = (
provider + "_" + endpoint
) # make name unique by appending endpoint
llms_with_endpoint.append(llm_provider)
if len(model_usage_name_keys) > 0: if len(model_usage_name_keys) > 0:
routing_llm_provider = config_yaml.get("routing", {}).get("llm_provider", None) routing_model_provider = config_yaml.get("routing", {}).get(
if routing_llm_provider and routing_llm_provider not in llm_provider_name_set: "model_provider", None
)
if (
routing_model_provider
and routing_model_provider not in model_provider_name_set
):
raise Exception( raise Exception(
f"Routing llm_provider {routing_llm_provider} is not defined in llm_providers" f"Routing model_provider {routing_model_provider} is not defined in model_providers"
) )
if routing_llm_provider is None and "arch-router" not in llm_provider_name_set: if (
updated_llm_providers.append( routing_model_provider is None
and "arch-router" not in model_provider_name_set
):
updated_model_providers.append(
{ {
"name": "arch-router", "name": "arch-router",
"provider_interface": "arch", "provider_interface": "arch",
@ -218,7 +295,19 @@ def validate_and_render_schema():
} }
) )
config_yaml["llm_providers"] = updated_llm_providers updated_model_providers = []
for listener in listeners:
print("Processing listener: ", listener)
model_providers = listener.get("model_providers", None)
if model_providers is not None and model_providers != []:
print("processing egress traffic listener")
print("updated_model_providers: ", updated_model_providers)
if updated_model_providers is not None and updated_model_providers != []:
raise Exception(
"Please provide model_providers either under listeners or at root level, not both. Currently we don't support multiple listeners with model_providers"
)
updated_model_providers = deepcopy(model_providers)
config_yaml["model_providers"] = updated_model_providers
# Validate model aliases if present # Validate model aliases if present
if "model_aliases" in config_yaml: if "model_aliases" in config_yaml:
@ -227,30 +316,12 @@ def validate_and_render_schema():
target = alias_config.get("target") target = alias_config.get("target")
if target not in model_name_keys: if target not in model_name_keys:
raise Exception( raise Exception(
f"Model alias '{alias_name}' targets '{target}' which is not defined as a model. Available models: {', '.join(sorted(model_name_keys))}" f"Model alias 2 - '{alias_name}' targets '{target}' which is not defined as a model. Available models: {', '.join(sorted(model_name_keys))}"
) )
arch_config_string = yaml.dump(config_yaml) arch_config_string = yaml.dump(config_yaml)
arch_llm_config_string = yaml.dump(config_yaml) arch_llm_config_string = yaml.dump(config_yaml)
prompt_gateway_listener = config_yaml.get("listeners", {}).get(
"ingress_traffic", {}
)
if prompt_gateway_listener.get("port") == None:
prompt_gateway_listener["port"] = 10000 # default port for prompt gateway
if prompt_gateway_listener.get("address") == None:
prompt_gateway_listener["address"] = "127.0.0.1"
if prompt_gateway_listener.get("timeout") == None:
prompt_gateway_listener["timeout"] = "10s"
llm_gateway_listener = config_yaml.get("listeners", {}).get("egress_traffic", {})
if llm_gateway_listener.get("port") == None:
llm_gateway_listener["port"] = 12000 # default port for llm gateway
if llm_gateway_listener.get("address") == None:
llm_gateway_listener["address"] = "127.0.0.1"
if llm_gateway_listener.get("timeout") == None:
llm_gateway_listener["timeout"] = "300s"
use_agent_orchestrator = config_yaml.get("overrides", {}).get( use_agent_orchestrator = config_yaml.get("overrides", {}).get(
"use_agent_orchestrator", False "use_agent_orchestrator", False
) )
@ -273,15 +344,16 @@ def validate_and_render_schema():
print("agent_orchestrator: ", agent_orchestrator) print("agent_orchestrator: ", agent_orchestrator)
data = { data = {
"prompt_gateway_listener": prompt_gateway_listener, "prompt_gateway_listener": prompt_gateway,
"llm_gateway_listener": llm_gateway_listener, "llm_gateway_listener": llm_gateway,
"arch_config": arch_config_string, "arch_config": arch_config_string,
"arch_llm_config": arch_llm_config_string, "arch_llm_config": arch_llm_config_string,
"arch_clusters": inferred_clusters, "arch_clusters": inferred_clusters,
"arch_llm_providers": config_yaml["llm_providers"], "arch_model_providers": updated_model_providers,
"arch_tracing": arch_tracing, "arch_tracing": arch_tracing,
"local_llms": llms_with_endpoint, "local_llms": llms_with_endpoint,
"agent_orchestrator": agent_orchestrator, "agent_orchestrator": agent_orchestrator,
"listeners": listeners,
} }
rendered = template.render(data) rendered = template.render(data)

46
arch/tools/cli/core.py
View file

@ -5,7 +5,7 @@ import time
import sys import sys
import yaml import yaml
from cli.utils import getLogger from cli.utils import convert_legacy_listeners, getLogger
from cli.consts import ( from cli.consts import (
ARCHGW_DOCKER_IMAGE, ARCHGW_DOCKER_IMAGE,
ARCHGW_DOCKER_NAME, ARCHGW_DOCKER_NAME,
@ -26,7 +26,7 @@ from cli.docker_cli import (
log = getLogger(__name__) log = getLogger(__name__)
def _get_gateway_ports(arch_config_file: str) -> tuple: def _get_gateway_ports(arch_config_file: str) -> list[int]:
PROMPT_GATEWAY_DEFAULT_PORT = 10000 PROMPT_GATEWAY_DEFAULT_PORT = 10000
LLM_GATEWAY_DEFAULT_PORT = 12000 LLM_GATEWAY_DEFAULT_PORT = 12000
@ -35,18 +35,15 @@ def _get_gateway_ports(arch_config_file: str) -> tuple:
with open(arch_config_file) as f: with open(arch_config_file) as f:
arch_config_dict = yaml.safe_load(f) arch_config_dict = yaml.safe_load(f)
prompt_gateway_port = ( print("arch config dict json string: ", json.dumps(arch_config_dict))
arch_config_dict.get("listeners", {})
.get("ingress_traffic", {}) listeners, _, _ = convert_legacy_listeners(
.get("port", PROMPT_GATEWAY_DEFAULT_PORT) arch_config_dict.get("listeners"), arch_config_dict.get("llm_providers")
)
llm_gateway_port = (
arch_config_dict.get("listeners", {})
.get("egress_traffic", {})
.get("port", LLM_GATEWAY_DEFAULT_PORT)
) )
return prompt_gateway_port, llm_gateway_port all_ports = [listener.get("port") for listener in listeners]
return all_ports
def start_arch(arch_config_file, env, log_timeout=120, foreground=False): def start_arch(arch_config_file, env, log_timeout=120, foreground=False):
@ -68,14 +65,13 @@ def start_arch(arch_config_file, env, log_timeout=120, foreground=False):
docker_stop_container(ARCHGW_DOCKER_NAME) docker_stop_container(ARCHGW_DOCKER_NAME)
docker_remove_container(ARCHGW_DOCKER_NAME) docker_remove_container(ARCHGW_DOCKER_NAME)
prompt_gateway_port, llm_gateway_port = _get_gateway_ports(arch_config_file) gateway_ports = _get_gateway_ports(arch_config_file)
return_code, _, archgw_stderr = docker_start_archgw_detached( return_code, _, archgw_stderr = docker_start_archgw_detached(
arch_config_file, arch_config_file,
os.path.expanduser("~/archgw_logs"), os.path.expanduser("~/archgw_logs"),
env, env,
prompt_gateway_port, gateway_ports,
llm_gateway_port,
) )
if return_code != 0: if return_code != 0:
log.info("Failed to start arch gateway: " + str(return_code)) log.info("Failed to start arch gateway: " + str(return_code))
@ -84,13 +80,17 @@ def start_arch(arch_config_file, env, log_timeout=120, foreground=False):
start_time = time.time() start_time = time.time()
while True: while True:
prompt_gateway_health_check_status = health_check_endpoint( all_listeners_healthy = True
f"http://localhost:{prompt_gateway_port}/healthz" for port in gateway_ports:
) log.info(f"Checking health endpoint on port {port}")
health_check_status = health_check_endpoint(
llm_gateway_health_check_status = health_check_endpoint( f"http://localhost:{port}/healthz"
f"http://localhost:{llm_gateway_port}/healthz" )
) if health_check_status:
log.info(f"Gateway on port {port} is healthy!")
else:
all_listeners_healthy = False
log.info(f"Gateway on port {port} is not healthy yet.")
archgw_status = docker_container_status(ARCHGW_DOCKER_NAME) archgw_status = docker_container_status(ARCHGW_DOCKER_NAME)
current_time = time.time() current_time = time.time()
@ -107,7 +107,7 @@ def start_arch(arch_config_file, env, log_timeout=120, foreground=False):
stream_gateway_logs(follow=False) stream_gateway_logs(follow=False)
sys.exit(1) sys.exit(1)
if prompt_gateway_health_check_status or llm_gateway_health_check_status: if all_listeners_healthy:
log.info("archgw is running and is healthy!") log.info("archgw is running and is healthy!")
break break
else: else:

14
arch/tools/cli/docker_cli.py
View file

@ -44,17 +44,18 @@ def docker_start_archgw_detached(
arch_config_file: str, arch_config_file: str,
logs_path_abs: str, logs_path_abs: str,
env: dict, env: dict,
prompt_gateway_port, gateway_ports: list[int],
llm_gateway_port,
) -> str: ) -> str:
env_args = [item for key, value in env.items() for item in ["-e", f"{key}={value}"]] env_args = [item for key, value in env.items() for item in ["-e", f"{key}={value}"]]
port_mappings = [ port_mappings = [
f"{prompt_gateway_port}:{prompt_gateway_port}", f"{12001}:{12001}",
f"{llm_gateway_port}:{llm_gateway_port}",
f"{llm_gateway_port+1}:{llm_gateway_port+1}",
"19901:9901", "19901:9901",
] ]
for port in gateway_ports:
port_mappings.append(f"{port}:{port}")
port_mappings_args = [item for port in port_mappings for item in ("-p", port)] port_mappings_args = [item for port in port_mappings for item in ("-p", port)]
volume_mappings = [ volume_mappings = [
@ -126,7 +127,8 @@ def docker_validate_archgw_schema(arch_config_file):
"--entrypoint", "--entrypoint",
"python", "python",
ARCHGW_DOCKER_IMAGE, ARCHGW_DOCKER_IMAGE,
"config_generator.py", "-m",
"cli.config_generator",
], ],
capture_output=True, capture_output=True,
text=True, text=True,

96
arch/tools/cli/utils.py
View file

@ -37,16 +37,98 @@ def has_ingress_listener(arch_config_file):
return False return False
def convert_legacy_listeners(
listeners: dict | list, model_providers: list | None
) -> tuple[list, dict | None, dict | None]:
llm_gateway_listener = {
"name": "egress_traffic",
"type": "model_listener",
"port": 12000,
"address": "0.0.0.0",
"timeout": "30s",
"model_providers": model_providers or [],
}
prompt_gateway_listener = {
"name": "ingress_traffic",
"type": "prompt_listener",
"port": 10000,
"address": "0.0.0.0",
"timeout": "30s",
}
if isinstance(listeners, dict):
# legacy listeners
# check if type is array or object
# if its dict its legacy format let's convert it to array
updated_listeners = []
ingress_traffic = listeners.get("ingress_traffic", {})
egress_traffic = listeners.get("egress_traffic", {})
llm_gateway_listener["port"] = egress_traffic.get(
"port", llm_gateway_listener["port"]
)
llm_gateway_listener["address"] = egress_traffic.get(
"address", llm_gateway_listener["address"]
)
llm_gateway_listener["timeout"] = egress_traffic.get(
"timeout", llm_gateway_listener["timeout"]
)
if model_providers is None or model_providers == []:
raise ValueError("model_providers cannot be empty when using legacy format")
llm_gateway_listener["model_providers"] = model_providers
updated_listeners.append(llm_gateway_listener)
if ingress_traffic and ingress_traffic != {}:
prompt_gateway_listener["port"] = ingress_traffic.get(
"port", prompt_gateway_listener["port"]
)
prompt_gateway_listener["address"] = ingress_traffic.get(
"address", prompt_gateway_listener["address"]
)
prompt_gateway_listener["timeout"] = ingress_traffic.get(
"timeout", prompt_gateway_listener["timeout"]
)
updated_listeners.append(prompt_gateway_listener)
return updated_listeners, llm_gateway_listener, prompt_gateway_listener
model_provider_set = False
for listener in listeners:
if listener.get("type") == "model_listener":
if model_provider_set:
raise ValueError(
"Currently only one listener can have model_providers set"
)
listener["model_providers"] = model_providers or []
model_provider_set = True
llm_gateway_listener = listener
if not model_provider_set:
listeners.append(llm_gateway_listener)
return listeners, llm_gateway_listener, prompt_gateway_listener
def get_llm_provider_access_keys(arch_config_file): def get_llm_provider_access_keys(arch_config_file):
with open(arch_config_file, "r") as file: with open(arch_config_file, "r") as file:
arch_config = file.read() arch_config = file.read()
arch_config_yaml = yaml.safe_load(arch_config) arch_config_yaml = yaml.safe_load(arch_config)
access_key_list = [] access_key_list = []
for llm_provider in arch_config_yaml.get("llm_providers", []):
acess_key = llm_provider.get("access_key") # Convert legacy llm_providers to model_providers
if acess_key is not None: if "llm_providers" in arch_config_yaml:
access_key_list.append(acess_key) if "model_providers" in arch_config_yaml:
raise Exception(
"Please provide either llm_providers or model_providers, not both. llm_providers is deprecated, please use model_providers instead"
)
arch_config_yaml["model_providers"] = arch_config_yaml["llm_providers"]
del arch_config_yaml["llm_providers"]
listeners, _, _ = convert_legacy_listeners(
arch_config_yaml.get("listeners"), arch_config_yaml.get("model_providers")
)
for prompt_target in arch_config_yaml.get("prompt_targets", []): for prompt_target in arch_config_yaml.get("prompt_targets", []):
for k, v in prompt_target.get("endpoint", {}).get("http_headers", {}).items(): for k, v in prompt_target.get("endpoint", {}).get("http_headers", {}).items():
@ -60,6 +142,12 @@ def get_llm_provider_access_keys(arch_config_file):
else: else:
access_key_list.append(v) access_key_list.append(v)
for listener in listeners:
for llm_provider in listener.get("model_providers", []):
access_key = llm_provider.get("access_key")
if access_key is not None:
access_key_list.append(access_key)
return access_key_list return access_key_list

204
arch/tools/test/test_config_generator.py
View file

@ -1,3 +1,4 @@
import json
import pytest import pytest
from unittest import mock from unittest import mock
import sys import sys
@ -81,10 +82,88 @@ tracing:
validate_and_render_schema() validate_and_render_schema()
def test_validate_and_render_happy_path_agent_config(monkeypatch):
monkeypatch.setenv("ARCH_CONFIG_FILE", "fake_arch_config.yaml")
monkeypatch.setenv("ARCH_CONFIG_SCHEMA_FILE", "fake_arch_config_schema.yaml")
monkeypatch.setenv("ENVOY_CONFIG_TEMPLATE_FILE", "./envoy.template.yaml")
monkeypatch.setenv("ARCH_CONFIG_FILE_RENDERED", "fake_arch_config_rendered.yaml")
monkeypatch.setenv("ENVOY_CONFIG_FILE_RENDERED", "fake_envoy.yaml")
monkeypatch.setenv("TEMPLATE_ROOT", "../")
arch_config = """
version: v0.3.0
agents:
- name: query_rewriter
kind: openai
endpoint: http://localhost:10500
- name: context_builder
kind: openai
endpoint: http://localhost:10501
- name: response_generator
kind: openai
endpoint: http://localhost:10502
- name: research_agent
kind: openai
endpoint: http://localhost:10500
- name: input_guard_rails
kind: openai
endpoint: http://localhost:10503
listeners:
- name: tmobile
type: agent
router: arch_agent_v2
agents:
- name: simple_tmobile_rag_agent
description: t-mobile virtual assistant for device contracts.
filter_chain:
- query_rewriter
- context_builder
- response_generator
- name: research_agent
description: agent to research and gather information from various sources.
filter_chain:
- research_agent
- response_generator
port: 8000
- name: llm_provider
type: model
description: llm provider configuration
port: 12000
llm_providers:
- access_key: ${OPENAI_API_KEY}
model: openai/gpt-4o
"""
arch_config_schema = ""
with open("../arch_config_schema.yaml", "r") as file:
arch_config_schema = file.read()
m_open = mock.mock_open()
# Provide enough file handles for all open() calls in validate_and_render_schema
m_open.side_effect = [
mock.mock_open(read_data="").return_value,
mock.mock_open(read_data=arch_config).return_value, # ARCH_CONFIG_FILE
mock.mock_open(
read_data=arch_config_schema
).return_value, # ARCH_CONFIG_SCHEMA_FILE
mock.mock_open(read_data=arch_config).return_value, # ARCH_CONFIG_FILE
mock.mock_open(
read_data=arch_config_schema
).return_value, # ARCH_CONFIG_SCHEMA_FILE
mock.mock_open().return_value, # ENVOY_CONFIG_FILE_RENDERED (write)
mock.mock_open().return_value, # ARCH_CONFIG_FILE_RENDERED (write)
]
with mock.patch("builtins.open", m_open):
with mock.patch("config_generator.Environment"):
validate_and_render_schema()
arch_config_test_cases = [ arch_config_test_cases = [
{ {
"id": "duplicate_provider_name", "id": "duplicate_provider_name",
"expected_error": "Duplicate llm_provider name", "expected_error": "Duplicate model_provider name",
"arch_config": """ "arch_config": """
version: v0.1.0 version: v0.1.0
@ -270,3 +349,126 @@ def test_validate_and_render_schema_tests(monkeypatch, arch_config_test_case):
with pytest.raises(Exception) as excinfo: with pytest.raises(Exception) as excinfo:
validate_and_render_schema() validate_and_render_schema()
assert expected_error in str(excinfo.value) assert expected_error in str(excinfo.value)
def test_convert_legacy_llm_providers():
from cli.utils import convert_legacy_listeners
listeners = {
"ingress_traffic": {
"address": "0.0.0.0",
"port": 10000,
"timeout": "30s",
},
"egress_traffic": {
"address": "0.0.0.0",
"port": 12000,
"timeout": "30s",
},
}
llm_providers = [
{
"model": "openai/gpt-4o",
"access_key": "test_key",
}
]
updated_providers, llm_gateway, prompt_gateway = convert_legacy_listeners(
listeners, llm_providers
)
assert isinstance(updated_providers, list)
assert llm_gateway is not None
assert prompt_gateway is not None
print(json.dumps(updated_providers))
assert updated_providers == [
{
"name": "egress_traffic",
"type": "model_listener",
"port": 12000,
"address": "0.0.0.0",
"timeout": "30s",
"model_providers": [{"model": "openai/gpt-4o", "access_key": "test_key"}],
},
{
"name": "ingress_traffic",
"type": "prompt_listener",
"port": 10000,
"address": "0.0.0.0",
"timeout": "30s",
},
]
assert llm_gateway == {
"address": "0.0.0.0",
"model_providers": [
{
"access_key": "test_key",
"model": "openai/gpt-4o",
},
],
"name": "egress_traffic",
"type": "model_listener",
"port": 12000,
"timeout": "30s",
}
assert prompt_gateway == {
"address": "0.0.0.0",
"name": "ingress_traffic",
"port": 10000,
"timeout": "30s",
"type": "prompt_listener",
}
def test_convert_legacy_llm_providers_no_prompt_gateway():
from cli.utils import convert_legacy_listeners
listeners = {
"egress_traffic": {
"address": "0.0.0.0",
"port": 12000,
"timeout": "30s",
}
}
llm_providers = [
{
"model": "openai/gpt-4o",
"access_key": "test_key",
}
]
updated_providers, llm_gateway, prompt_gateway = convert_legacy_listeners(
listeners, llm_providers
)
assert isinstance(updated_providers, list)
assert llm_gateway is not None
assert prompt_gateway is not None
assert updated_providers == [
{
"address": "0.0.0.0",
"model_providers": [
{
"access_key": "test_key",
"model": "openai/gpt-4o",
},
],
"name": "egress_traffic",
"port": 12000,
"timeout": "30s",
"type": "model_listener",
}
]
assert llm_gateway == {
"address": "0.0.0.0",
"model_providers": [
{
"access_key": "test_key",
"model": "openai/gpt-4o",
},
],
"name": "egress_traffic",
"type": "model_listener",
"port": 12000,
"timeout": "30s",
}

631
arch/tools/uv.lock generated Normal file
View file

@ -0,0 +1,631 @@
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{ name = "jinja2" },
{ name = "jsonschema" },
{ name = "pytest" },
{ name = "pyyaml" },
{ name = "requests" },
]
[package.metadata]
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{ name = "click" },
{ name = "huggingface-hub", specifier = ">=0.34.4" },
{ name = "jinja2" },
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{ name = "pytest", specifier = ">=8.4.2" },
{ name = "pyyaml" },
{ name = "requests", specifier = ">=2.32.5" },
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2
arch/validate_arch_config.sh
View file

@ -5,7 +5,7 @@ failed_files=()
for file in $(find . -name arch_config.yaml -o -name arch_config_full_reference.yaml); do for file in $(find . -name arch_config.yaml -o -name arch_config_full_reference.yaml); do
echo "Validating ${file}..." echo "Validating ${file}..."
touch $(pwd)/${file}_rendered touch $(pwd)/${file}_rendered
if ! docker run --rm -v "$(pwd)/${file}:/app/arch_config.yaml:ro" -v "$(pwd)/${file}_rendered:/app/arch_config_rendered.yaml:rw" --entrypoint /bin/sh katanemo/archgw:latest -c "python config_generator.py" 2>&1 > /dev/null ; then if ! docker run --rm -v "$(pwd)/${file}:/app/arch_config.yaml:ro" -v "$(pwd)/${file}_rendered:/app/arch_config_rendered.yaml:rw" --entrypoint /bin/sh katanemo/archgw:latest -c "python -m cli.config_generator" 2>&1 > /dev/null ; then
echo "Validation failed for $file" echo "Validation failed for $file"
failed_files+=("$file") failed_files+=("$file")
fi fi

50
crates/Cargo.lock generated
View file

@ -68,6 +68,16 @@ version = "1.0.98"
source = "registry+https://github.com/rust-lang/crates.io-index" source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e16d2d3311acee920a9eb8d33b8cbc1787ce4a264e85f964c2404b969bdcd487" checksum = "e16d2d3311acee920a9eb8d33b8cbc1787ce4a264e85f964c2404b969bdcd487"
[[package]]
name = "assert-json-diff"
version = "2.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "47e4f2b81832e72834d7518d8487a0396a28cc408186a2e8854c0f98011faf12"
dependencies = [
"serde",
"serde_json",
]
[[package]] [[package]]
name = "async-trait" name = "async-trait"
version = "0.1.88" version = "0.1.88"
@ -202,6 +212,7 @@ dependencies = [
"http-body-util", "http-body-util",
"hyper 1.6.0", "hyper 1.6.0",
"hyper-util", "hyper-util",
"mockito",
"opentelemetry", "opentelemetry",
"opentelemetry-http", "opentelemetry-http",
"opentelemetry-otlp", "opentelemetry-otlp",
@ -283,6 +294,15 @@ dependencies = [
"windows-link", "windows-link",
] ]
[[package]]
name = "colored"
version = "3.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fde0e0ec90c9dfb3b4b1a0891a7dcd0e2bffde2f7efed5fe7c9bb00e5bfb915e"
dependencies = [
"windows-sys 0.59.0",
]
[[package]] [[package]]
name = "common" name = "common"
version = "0.1.0" version = "0.1.0"
@ -1318,6 +1338,30 @@ dependencies = [
"windows-sys 0.59.0", "windows-sys 0.59.0",
] ]
[[package]]
name = "mockito"
version = "1.7.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7760e0e418d9b7e5777c0374009ca4c93861b9066f18cb334a20ce50ab63aa48"
dependencies = [
"assert-json-diff",
"bytes",
"colored",
"futures-util",
"http 1.3.1",
"http-body 1.0.1",
"http-body-util",
"hyper 1.6.0",
"hyper-util",
"log",
"rand 0.9.1",
"regex",
"serde_json",
"serde_urlencoded",
"similar",
"tokio",
]
[[package]] [[package]]
name = "native-tls" name = "native-tls"
version = "0.2.14" version = "0.2.14"
@ -2269,6 +2313,12 @@ dependencies = [
"libc", "libc",
] ]
[[package]]
name = "similar"
version = "2.7.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bbbb5d9659141646ae647b42fe094daf6c6192d1620870b449d9557f748b2daa"
[[package]] [[package]]
name = "slab" name = "slab"
version = "0.4.9" version = "0.4.9"

8
crates/brightstaff/Cargo.toml
View file

@ -28,8 +28,14 @@ serde_with = "3.13.0"
serde_yaml = "0.9.34" serde_yaml = "0.9.34"
thiserror = "2.0.12" thiserror = "2.0.12"
tokio = { version = "1.44.2", features = ["full"] } tokio = { version = "1.44.2", features = ["full"] }
tokio-stream = "0.1.17" tokio-stream = "0.1"
time = { version = "0.3", features = ["formatting", "macros"] } time = { version = "0.3", features = ["formatting", "macros"] }
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }
[dev-dependencies]
mockito = "1.0"
tokio-stream = "0.1.17"
tracing = "0.1.41" tracing = "0.1.41"
tracing-opentelemetry = "0.30.0" tracing-opentelemetry = "0.30.0"
tracing-subscriber = { version = "0.3.19", features = ["env-filter", "fmt", "time"] } tracing-subscriber = { version = "0.3.19", features = ["env-filter", "fmt", "time"] }

172
crates/brightstaff/src/handlers/agent_chat_completions.rs Normal file
View file

@ -0,0 +1,172 @@
use std::sync::Arc;
use bytes::Bytes;
use hermesllm::apis::openai::ChatCompletionsRequest;
use http_body_util::combinators::BoxBody;
use http_body_util::BodyExt;
use hyper::{Request, Response};
use tracing::{debug, info, warn};
use super::agent_selector::{AgentSelectionError, AgentSelector};
use super::pipeline_processor::{PipelineError, PipelineProcessor};
use super::response_handler::ResponseHandler;
use crate::router::llm_router::RouterService;
/// Main errors for agent chat completions
#[derive(Debug, thiserror::Error)]
pub enum AgentFilterChainError {
#[error("Agent selection error: {0}")]
Selection(#[from] AgentSelectionError),
#[error("Pipeline processing error: {0}")]
Pipeline(#[from] PipelineError),
#[error("Response handling error: {0}")]
Response(#[from] super::response_handler::ResponseError),
#[error("Request parsing error: {0}")]
RequestParsing(#[from] serde_json::Error),
#[error("HTTP error: {0}")]
Http(#[from] hyper::Error),
}
pub async fn agent_chat(
request: Request<hyper::body::Incoming>,
router_service: Arc<RouterService>,
_: String,
agents_list: Arc<tokio::sync::RwLock<Option<Vec<common::configuration::Agent>>>>,
listeners: Arc<tokio::sync::RwLock<Vec<common::configuration::Listener>>>,
) -> Result<Response<BoxBody<Bytes, hyper::Error>>, hyper::Error> {
match handle_agent_chat(request, router_service, agents_list, listeners).await {
Ok(response) => Ok(response),
Err(err) => {
// Print detailed error information with full error chain
let mut error_chain = Vec::new();
let mut current_error: &dyn std::error::Error = &err;
// Collect the full error chain
loop {
error_chain.push(current_error.to_string());
match current_error.source() {
Some(source) => current_error = source,
None => break,
}
}
// Log the complete error chain
warn!("Agent chat error chain: {:#?}", error_chain);
warn!("Root error: {:?}", err);
// Create structured error response as JSON
let error_json = serde_json::json!({
"error": {
"type": "AgentFilterChainError",
"message": err.to_string(),
"error_chain": error_chain,
"debug_info": format!("{:?}", err)
}
});
// Log the error for debugging
info!("Structured error info: {}", error_json);
// Return JSON error response
Ok(ResponseHandler::create_json_error_response(&error_json))
}
}
}
async fn handle_agent_chat(
request: Request<hyper::body::Incoming>,
router_service: Arc<RouterService>,
agents_list: Arc<tokio::sync::RwLock<Option<Vec<common::configuration::Agent>>>>,
listeners: Arc<tokio::sync::RwLock<Vec<common::configuration::Listener>>>,
) -> Result<Response<BoxBody<Bytes, hyper::Error>>, AgentFilterChainError> {
// Initialize services
let agent_selector = AgentSelector::new(router_service);
let pipeline_processor = PipelineProcessor::default();
let response_handler = ResponseHandler::new();
// Extract listener name from headers
let listener_name = request
.headers()
.get("x-arch-agent-listener-name")
.and_then(|name| name.to_str().ok());
// Find the appropriate listener
let listener = {
let listeners = listeners.read().await;
agent_selector
.find_listener(listener_name, &listeners)
.await?
};
info!("Handling request for listener: {}", listener.name);
// Parse request body
let request_headers = request.headers().clone();
let chat_request_bytes = request.collect().await?.to_bytes();
debug!(
"Received request body (raw utf8): {}",
String::from_utf8_lossy(&chat_request_bytes)
);
let chat_completions_request: ChatCompletionsRequest =
serde_json::from_slice(&chat_request_bytes).map_err(|err| {
warn!(
"Failed to parse request body as ChatCompletionsRequest: {}",
err
);
AgentFilterChainError::RequestParsing(err)
})?;
// Extract trace parent for routing
let trace_parent = request_headers
.iter()
.find(|(key, _)| key.as_str() == "traceparent")
.map(|(_, value)| value.to_str().unwrap_or_default().to_string());
// Select appropriate agent using arch router llm model
let selected_agent = agent_selector
.select_agent(&chat_completions_request.messages, &listener, trace_parent)
.await?;
debug!("Processing agent pipeline: {}", selected_agent.id);
// Create agent map for pipeline processing
let agent_map = {
let agents = agents_list.read().await;
let agents = agents.as_ref().unwrap();
agent_selector.create_agent_map(agents)
};
// Process the filter chain
let processed_messages = pipeline_processor
.process_filter_chain(
&chat_completions_request,
&selected_agent,
&agent_map,
&request_headers,
)
.await?;
// Get terminal agent and send final response
let terminal_agent_name = selected_agent.id;
let terminal_agent = agent_map.get(&terminal_agent_name).unwrap();
debug!("Processing terminal agent: {}", terminal_agent_name);
debug!("Terminal agent details: {:?}", terminal_agent);
let llm_response = pipeline_processor
.invoke_upstream_agent(
&processed_messages,
&chat_completions_request,
terminal_agent,
&request_headers,
)
.await?;
// Create streaming response
response_handler
.create_streaming_response(llm_response)
.await
.map_err(AgentFilterChainError::from)
}

296
crates/brightstaff/src/handlers/agent_selector.rs Normal file
View file

@ -0,0 +1,296 @@
use std::collections::HashMap;
use std::sync::Arc;
use common::configuration::{
Agent, AgentFilterChain, Listener, ModelUsagePreference, RoutingPreference,
};
use hermesllm::apis::openai::Message;
use tracing::{debug, warn};
use crate::router::llm_router::RouterService;
/// Errors that can occur during agent selection
#[derive(Debug, thiserror::Error)]
pub enum AgentSelectionError {
#[error("Listener not found for name: {0}")]
ListenerNotFound(String),
#[error("No agents configured for listener: {0}")]
NoAgentsConfigured(String),
#[error("Routing service error: {0}")]
RoutingError(String),
#[error("Default agent not found for listener: {0}")]
DefaultAgentNotFound(String),
}
/// Service for selecting agents based on routing preferences and listener configuration
pub struct AgentSelector {
router_service: Arc<RouterService>,
}
impl AgentSelector {
pub fn new(router_service: Arc<RouterService>) -> Self {
Self { router_service }
}
/// Find listener by name from the request headers
pub async fn find_listener(
&self,
listener_name: Option<&str>,
listeners: &[common::configuration::Listener],
) -> Result<Listener, AgentSelectionError> {
let listener = listeners
.iter()
.find(|l| listener_name.map(|name| l.name == name).unwrap_or(false))
.cloned()
.ok_or_else(|| {
AgentSelectionError::ListenerNotFound(
listener_name.unwrap_or("unknown").to_string(),
)
})?;
Ok(listener)
}
/// Create agent name to agent mapping for efficient lookup
pub fn create_agent_map(&self, agents: &[Agent]) -> HashMap<String, Agent> {
agents
.iter()
.map(|agent| (agent.id.clone(), agent.clone()))
.collect()
}
/// Select appropriate agent based on routing preferences
pub async fn select_agent(
&self,
messages: &[Message],
listener: &Listener,
trace_parent: Option<String>,
) -> Result<AgentFilterChain, AgentSelectionError> {
let agents = listener
.agents
.as_ref()
.ok_or_else(|| AgentSelectionError::NoAgentsConfigured(listener.name.clone()))?;
// If only one agent, skip routing
if agents.len() == 1 {
debug!("Only one agent available, skipping routing");
return Ok(agents[0].clone());
}
let usage_preferences = self.convert_agent_description_to_routing_preferences(agents);
debug!(
"Agents usage preferences for agent routing str: {}",
serde_json::to_string(&usage_preferences).unwrap_or_default()
);
match self
.router_service
.determine_route(messages, trace_parent, Some(usage_preferences))
.await
{
Ok(Some((_, agent_name))) => {
debug!("Determined agent: {}", agent_name);
let selected_agent = agents
.iter()
.find(|a| a.id == agent_name)
.cloned()
.ok_or_else(|| {
AgentSelectionError::RoutingError(format!(
"Selected agent '{}' not found in listener agents",
agent_name
))
})?;
Ok(selected_agent)
}
Ok(None) => {
debug!("No agent determined using routing preferences, using default agent");
self.get_default_agent(agents, &listener.name)
}
Err(err) => Err(AgentSelectionError::RoutingError(err.to_string())),
}
}
/// Get the default agent or the first agent if no default is specified
fn get_default_agent(
&self,
agents: &[AgentFilterChain],
listener_name: &str,
) -> Result<AgentFilterChain, AgentSelectionError> {
agents
.iter()
.find(|a| a.default.unwrap_or(false))
.cloned()
.or_else(|| {
warn!(
"No default agent found, routing request to first agent: {}",
agents[0].id
);
Some(agents[0].clone())
})
.ok_or_else(|| AgentSelectionError::DefaultAgentNotFound(listener_name.to_string()))
}
/// Convert agent descriptions to routing preferences
fn convert_agent_description_to_routing_preferences(
&self,
agents: &[AgentFilterChain],
) -> Vec<ModelUsagePreference> {
agents
.iter()
.map(|agent| ModelUsagePreference {
model: agent.id.clone(),
routing_preferences: vec![RoutingPreference {
name: agent.id.clone(),
description: agent.description.as_ref().unwrap_or(&String::new()).clone(),
}],
})
.collect()
}
}
#[cfg(test)]
mod tests {
use super::*;
use common::configuration::{AgentFilterChain, Listener};
fn create_test_router_service() -> Arc<RouterService> {
Arc::new(RouterService::new(
vec![], // empty providers for testing
"http://localhost:8080".to_string(),
"test-model".to_string(),
"test-provider".to_string(),
))
}
fn create_test_agent(name: &str, description: &str, is_default: bool) -> AgentFilterChain {
AgentFilterChain {
id: name.to_string(),
description: Some(description.to_string()),
default: Some(is_default),
filter_chain: vec![name.to_string()],
}
}
fn create_test_listener(name: &str, agents: Vec<AgentFilterChain>) -> Listener {
Listener {
name: name.to_string(),
agents: Some(agents),
port: 8080,
router: None,
}
}
fn create_test_agent_struct(name: &str) -> Agent {
Agent {
id: name.to_string(),
kind: Some("test".to_string()),
url: "http://localhost:8080".to_string(),
}
}
#[tokio::test]
async fn test_find_listener_success() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let listener1 = create_test_listener("test-listener", vec![]);
let listener2 = create_test_listener("other-listener", vec![]);
let listeners = vec![listener1.clone(), listener2];
let result = selector
.find_listener(Some("test-listener"), &listeners)
.await;
assert!(result.is_ok());
assert_eq!(result.unwrap().name, "test-listener");
}
#[tokio::test]
async fn test_find_listener_not_found() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let listeners = vec![create_test_listener("other-listener", vec![])];
let result = selector
.find_listener(Some("nonexistent"), &listeners)
.await;
assert!(result.is_err());
matches!(
result.unwrap_err(),
AgentSelectionError::ListenerNotFound(_)
);
}
#[test]
fn test_create_agent_map() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let agents = vec![
create_test_agent_struct("agent1"),
create_test_agent_struct("agent2"),
];
let agent_map = selector.create_agent_map(&agents);
assert_eq!(agent_map.len(), 2);
assert!(agent_map.contains_key("agent1"));
assert!(agent_map.contains_key("agent2"));
}
#[test]
fn test_convert_agent_description_to_routing_preferences() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let agents = vec![
create_test_agent("agent1", "First agent description", true),
create_test_agent("agent2", "Second agent description", false),
];
let preferences = selector.convert_agent_description_to_routing_preferences(&agents);
assert_eq!(preferences.len(), 2);
assert_eq!(preferences[0].model, "agent1");
assert_eq!(preferences[0].routing_preferences[0].name, "agent1");
assert_eq!(
preferences[0].routing_preferences[0].description,
"First agent description"
);
}
#[test]
fn test_get_default_agent() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let agents = vec![
create_test_agent("agent1", "First agent", false),
create_test_agent("agent2", "Default agent", true),
create_test_agent("agent3", "Third agent", false),
];
let result = selector.get_default_agent(&agents, "test-listener");
assert!(result.is_ok());
assert_eq!(result.unwrap().id, "agent2");
}
#[test]
fn test_get_default_agent_fallback_to_first() {
let router_service = create_test_router_service();
let selector = AgentSelector::new(router_service);
let agents = vec![
create_test_agent("agent1", "First agent", false),
create_test_agent("agent2", "Second agent", false),
];
let result = selector.get_default_agent(&agents, "test-listener");
assert!(result.is_ok());
assert_eq!(result.unwrap().id, "agent1");
}
}

155
crates/brightstaff/src/handlers/integration_tests.rs Normal file
View file

@ -0,0 +1,155 @@
use std::sync::Arc;
use hermesllm::apis::openai::{ChatCompletionsRequest, Message, MessageContent, Role};
use hyper::header::HeaderMap;
use crate::handlers::agent_selector::{AgentSelectionError, AgentSelector};
use crate::handlers::pipeline_processor::PipelineProcessor;
use crate::handlers::response_handler::ResponseHandler;
use crate::router::llm_router::RouterService;
/// Integration test that demonstrates the modular agent chat flow
/// This test shows how the three main components work together:
/// 1. AgentSelector - selects the appropriate agent based on routing
/// 2. PipelineProcessor - executes the agent pipeline
/// 3. ResponseHandler - handles response streaming
#[cfg(test)]
mod integration_tests {
use super::*;
use common::configuration::{Agent, AgentFilterChain, Listener};
fn create_test_router_service() -> Arc<RouterService> {
Arc::new(RouterService::new(
vec![], // empty providers for testing
"http://localhost:8080".to_string(),
"test-model".to_string(),
"test-provider".to_string(),
))
}
fn create_test_message(role: Role, content: &str) -> Message {
Message {
role,
content: MessageContent::Text(content.to_string()),
name: None,
tool_calls: None,
tool_call_id: None,
}
}
#[tokio::test]
async fn test_modular_agent_chat_flow() {
// Setup services
let router_service = create_test_router_service();
let agent_selector = AgentSelector::new(router_service);
let pipeline_processor = PipelineProcessor::default();
// Create test data
let agents = vec![
Agent {
id: "filter-agent".to_string(),
kind: Some("filter".to_string()),
url: "http://localhost:8081".to_string(),
},
Agent {
id: "terminal-agent".to_string(),
kind: Some("terminal".to_string()),
url: "http://localhost:8082".to_string(),
},
];
let agent_pipeline = AgentFilterChain {
id: "terminal-agent".to_string(),
filter_chain: vec!["filter-agent".to_string(), "terminal-agent".to_string()],
description: Some("Test pipeline".to_string()),
default: Some(true),
};
let listener = Listener {
name: "test-listener".to_string(),
agents: Some(vec![agent_pipeline.clone()]),
port: 8080,
router: None,
};
let listeners = vec![listener];
let messages = vec![create_test_message(Role::User, "Hello world!")];
// Test 1: Agent Selection
let selected_listener = agent_selector
.find_listener(Some("test-listener"), &listeners)
.await;
assert!(selected_listener.is_ok());
let listener = selected_listener.unwrap();
assert_eq!(listener.name, "test-listener");
// Test 2: Agent Map Creation
let agent_map = agent_selector.create_agent_map(&agents);
assert_eq!(agent_map.len(), 2);
assert!(agent_map.contains_key("filter-agent"));
assert!(agent_map.contains_key("terminal-agent"));
// Test 3: Pipeline Processing (empty filter chain for testing)
let request = ChatCompletionsRequest {
messages: messages.clone(),
model: "test-model".to_string(),
..Default::default()
};
// Create a pipeline with empty filter chain to avoid network calls
let test_pipeline = AgentFilterChain {
id: "terminal-agent".to_string(),
filter_chain: vec![], // Empty filter chain - no network calls needed
description: None,
default: None,
};
let headers = HeaderMap::new();
let result = pipeline_processor
.process_filter_chain(&request, &test_pipeline, &agent_map, &headers)
.await;
println!("Pipeline processing result: {:?}", result);
assert!(result.is_ok());
let processed_messages = result.unwrap();
// With empty filter chain, should return the original messages unchanged
assert_eq!(processed_messages.len(), 1);
if let MessageContent::Text(content) = &processed_messages[0].content {
assert_eq!(content, "Hello world!");
} else {
panic!("Expected text content");
}
// Test 4: Error Response Creation
let error_response = ResponseHandler::create_bad_request("Test error");
assert_eq!(error_response.status(), hyper::StatusCode::BAD_REQUEST);
println!("✅ All modular components working correctly!");
}
#[tokio::test]
async fn test_error_handling_flow() {
let router_service = create_test_router_service();
let agent_selector = AgentSelector::new(router_service);
// Test listener not found
let result = agent_selector.find_listener(Some("nonexistent"), &[]).await;
assert!(result.is_err());
assert!(matches!(
result.unwrap_err(),
AgentSelectionError::ListenerNotFound(_)
));
// Test error response creation
let error_response = ResponseHandler::create_internal_error("Pipeline failed");
assert_eq!(
error_response.status(),
hyper::StatusCode::INTERNAL_SERVER_ERROR
);
println!("✅ Error handling working correctly!");
}
}

7
crates/brightstaff/src/handlers/mod.rs
View file

@ -1,2 +1,9 @@
pub mod agent_chat_completions;
pub mod agent_selector;
pub mod chat_completions; pub mod chat_completions;
pub mod models; pub mod models;
pub mod pipeline_processor;
pub mod response_handler;
#[cfg(test)]
mod integration_tests;

228
crates/brightstaff/src/handlers/pipeline_processor.rs Normal file
View file

@ -0,0 +1,228 @@
use std::collections::HashMap;
use common::configuration::{Agent, AgentFilterChain};
use common::consts::{ARCH_UPSTREAM_HOST_HEADER, ENVOY_RETRY_HEADER};
use hermesllm::apis::openai::{ChatCompletionsRequest, Message};
use hyper::header::HeaderMap;
use tracing::{debug, warn};
/// Errors that can occur during pipeline processing
#[derive(Debug, thiserror::Error)]
pub enum PipelineError {
#[error("HTTP request failed: {0}")]
RequestFailed(#[from] reqwest::Error),
#[error("Failed to parse response: {0}")]
ParseError(#[from] serde_json::Error),
#[error("Agent '{0}' not found in agent map")]
AgentNotFound(String),
#[error("No choices in response from agent '{0}'")]
NoChoicesInResponse(String),
#[error("No content in response from agent '{0}'")]
NoContentInResponse(String),
}
/// Service for processing agent pipelines
pub struct PipelineProcessor {
client: reqwest::Client,
url: String,
}
impl Default for PipelineProcessor {
fn default() -> Self {
Self {
client: reqwest::Client::new(),
url: "http://localhost:11000/v1/chat/completions".to_string(),
}
}
}
impl PipelineProcessor {
pub fn new(url: String) -> Self {
Self {
client: reqwest::Client::new(),
url,
}
}
/// Process the filter chain of agents (all except the terminal agent)
pub async fn process_filter_chain(
&self,
initial_request: &ChatCompletionsRequest,
agent_filter_chain: &AgentFilterChain,
agent_map: &HashMap<String, Agent>,
request_headers: &HeaderMap,
) -> Result<Vec<Message>, PipelineError> {
let mut chat_completions_history = initial_request.messages.clone();
for agent_name in &agent_filter_chain.filter_chain {
debug!("Processing filter agent: {}", agent_name);
let agent = agent_map
.get(agent_name)
.ok_or_else(|| PipelineError::AgentNotFound(agent_name.clone()))?;
debug!("Agent details: {:?}", agent);
let response_content = self
.send_agent_filter_chain_request(
&chat_completions_history,
initial_request,
agent,
request_headers,
)
.await?;
debug!("Received response from filter agent {}", agent_name);
// Parse the response content as new message history
chat_completions_history =
serde_json::from_str(&response_content).inspect_err(|err| {
warn!(
"Failed to parse response from agent {}, err: {}, response: {}",
agent_name, err, response_content
)
})?;
}
Ok(chat_completions_history)
}
/// Send request to a specific agent and return the response content
async fn send_agent_filter_chain_request(
&self,
messages: &[Message],
original_request: &ChatCompletionsRequest,
agent: &Agent,
request_headers: &HeaderMap,
) -> Result<String, PipelineError> {
let mut request = original_request.clone();
request.messages = messages.to_vec();
let request_body = serde_json::to_string(&request)?;
debug!("Sending request to agent {}", agent.id);
let mut agent_headers = request_headers.clone();
agent_headers.remove(hyper::header::CONTENT_LENGTH);
agent_headers.insert(
ARCH_UPSTREAM_HOST_HEADER,
hyper::header::HeaderValue::from_str(&agent.id)
.map_err(|_| PipelineError::AgentNotFound(agent.id.clone()))?,
);
agent_headers.insert(
ENVOY_RETRY_HEADER,
hyper::header::HeaderValue::from_str("3").unwrap(),
);
let response = self
.client
.post(&self.url)
.headers(agent_headers)
.body(request_body)
.send()
.await?;
let response_bytes = response.bytes().await?;
// Parse the response as JSON to extract the content
let response_json: serde_json::Value = serde_json::from_slice(&response_bytes)?;
let content = response_json
.get("choices")
.and_then(|choices| choices.as_array())
.and_then(|choices| choices.first())
.and_then(|choice| choice.get("message"))
.and_then(|message| message.get("content"))
.and_then(|content| content.as_str())
.ok_or_else(|| PipelineError::NoContentInResponse(agent.id.clone()))?
.to_string();
Ok(content)
}
/// Send request to terminal agent and return the raw response for streaming
pub async fn invoke_upstream_agent(
&self,
messages: &[Message],
original_request: &ChatCompletionsRequest,
terminal_agent: &Agent,
request_headers: &HeaderMap,
) -> Result<reqwest::Response, PipelineError> {
let mut request = original_request.clone();
request.messages = messages.to_vec();
let request_body = serde_json::to_string(&request)?;
debug!("Sending request to terminal agent {}", terminal_agent.id);
let mut agent_headers = request_headers.clone();
agent_headers.remove(hyper::header::CONTENT_LENGTH);
agent_headers.insert(
ARCH_UPSTREAM_HOST_HEADER,
hyper::header::HeaderValue::from_str(&terminal_agent.id)
.map_err(|_| PipelineError::AgentNotFound(terminal_agent.id.clone()))?,
);
agent_headers.insert(
ENVOY_RETRY_HEADER,
hyper::header::HeaderValue::from_str("3").unwrap(),
);
let response = self
.client
.post(&self.url)
.headers(agent_headers)
.body(request_body)
.send()
.await?;
Ok(response)
}
}
#[cfg(test)]
mod tests {
use super::*;
use hermesllm::apis::openai::{Message, MessageContent, Role};
use std::collections::HashMap;
fn create_test_message(role: Role, content: &str) -> Message {
Message {
role,
content: MessageContent::Text(content.to_string()),
name: None,
tool_calls: None,
tool_call_id: None,
}
}
fn create_test_pipeline(agents: Vec<&str>) -> AgentFilterChain {
AgentFilterChain {
id: "test-agent".to_string(),
filter_chain: agents.iter().map(|s| s.to_string()).collect(),
description: None,
default: None,
}
}
#[tokio::test]
async fn test_agent_not_found_error() {
let processor = PipelineProcessor::default();
let agent_map = HashMap::new();
let request_headers = HeaderMap::new();
let initial_request = ChatCompletionsRequest {
messages: vec![create_test_message(Role::User, "Hello")],
model: "test-model".to_string(),
..Default::default()
};
let pipeline = create_test_pipeline(vec!["nonexistent-agent", "terminal-agent"]);
let result = processor
.process_filter_chain(&initial_request, &pipeline, &agent_map, &request_headers)
.await;
assert!(result.is_err());
matches!(result.unwrap_err(), PipelineError::AgentNotFound(_));
}
}

191
crates/brightstaff/src/handlers/response_handler.rs Normal file
View file

@ -0,0 +1,191 @@
use bytes::Bytes;
use http_body_util::combinators::BoxBody;
use http_body_util::{BodyExt, Full, StreamBody};
use hyper::body::Frame;
use hyper::{Response, StatusCode};
use tokio::sync::mpsc;
use tokio_stream::wrappers::ReceiverStream;
use tokio_stream::StreamExt;
use tracing::warn;
/// Errors that can occur during response handling
#[derive(Debug, thiserror::Error)]
pub enum ResponseError {
#[error("Failed to create response: {0}")]
ResponseCreationFailed(#[from] hyper::http::Error),
#[error("Stream error: {0}")]
StreamError(String),
}
/// Service for handling HTTP responses and streaming
pub struct ResponseHandler;
impl ResponseHandler {
pub fn new() -> Self {
Self
}
/// Create a full response body from bytes
pub fn create_full_body<T: Into<Bytes>>(chunk: T) -> BoxBody<Bytes, hyper::Error> {
Full::new(chunk.into())
.map_err(|never| match never {})
.boxed()
}
/// Create an error response with a given status code and message
pub fn create_error_response(
status: StatusCode,
message: &str,
) -> Response<BoxBody<Bytes, hyper::Error>> {
let mut response = Response::new(Self::create_full_body(message.to_string()));
*response.status_mut() = status;
response
}
/// Create a bad request response
pub fn create_bad_request(message: &str) -> Response<BoxBody<Bytes, hyper::Error>> {
Self::create_error_response(StatusCode::BAD_REQUEST, message)
}
/// Create an internal server error response
pub fn create_internal_error(message: &str) -> Response<BoxBody<Bytes, hyper::Error>> {
Self::create_error_response(StatusCode::INTERNAL_SERVER_ERROR, message)
}
/// Create a JSON error response
pub fn create_json_error_response(
error_json: &serde_json::Value,
) -> Response<BoxBody<Bytes, hyper::Error>> {
let json_string = error_json.to_string();
let mut response = Response::new(Self::create_full_body(json_string));
*response.status_mut() = StatusCode::INTERNAL_SERVER_ERROR;
response.headers_mut().insert(
hyper::header::CONTENT_TYPE,
"application/json".parse().unwrap(),
);
response
}
/// Create a streaming response from a reqwest response
pub async fn create_streaming_response(
&self,
llm_response: reqwest::Response,
) -> Result<Response<BoxBody<Bytes, hyper::Error>>, ResponseError> {
// Copy headers from the original response
let response_headers = llm_response.headers();
let mut response_builder = Response::builder();
let headers = response_builder.headers_mut().ok_or_else(|| {
ResponseError::StreamError("Failed to get mutable headers".to_string())
})?;
for (header_name, header_value) in response_headers.iter() {
headers.insert(header_name, header_value.clone());
}
// Create channel for async streaming
let (tx, rx) = mpsc::channel::<Bytes>(16);
// Spawn task to stream data
tokio::spawn(async move {
let mut byte_stream = llm_response.bytes_stream();
while let Some(item) = byte_stream.next().await {
let chunk = match item {
Ok(chunk) => chunk,
Err(err) => {
warn!("Error receiving chunk: {:?}", err);
break;
}
};
if tx.send(chunk).await.is_err() {
warn!("Receiver dropped");
break;
}
}
});
let stream = ReceiverStream::new(rx).map(|chunk| Ok::<_, hyper::Error>(Frame::data(chunk)));
let stream_body = BoxBody::new(StreamBody::new(stream));
response_builder
.body(stream_body)
.map_err(ResponseError::from)
}
}
impl Default for ResponseHandler {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use hyper::StatusCode;
#[test]
fn test_create_bad_request() {
let response = ResponseHandler::create_bad_request("Invalid request");
assert_eq!(response.status(), StatusCode::BAD_REQUEST);
}
#[test]
fn test_create_internal_error() {
let response = ResponseHandler::create_internal_error("Server error");
assert_eq!(response.status(), StatusCode::INTERNAL_SERVER_ERROR);
}
#[test]
fn test_create_error_response() {
let response =
ResponseHandler::create_error_response(StatusCode::NOT_FOUND, "Resource not found");
assert_eq!(response.status(), StatusCode::NOT_FOUND);
}
#[test]
fn test_create_json_error_response() {
let error_json = serde_json::json!({
"error": {
"type": "TestError",
"message": "Test error message"
}
});
let response = ResponseHandler::create_json_error_response(&error_json);
assert_eq!(response.status(), StatusCode::INTERNAL_SERVER_ERROR);
assert_eq!(
response.headers().get("content-type").unwrap(),
"application/json"
);
}
#[tokio::test]
async fn test_create_streaming_response_with_mock() {
use mockito::Server;
let mut server = Server::new_async().await;
let mock = server
.mock("GET", "/test")
.with_status(200)
.with_header("content-type", "text/plain")
.with_body("streaming response")
.create_async()
.await;
let client = reqwest::Client::new();
let llm_response = client.get(&(server.url() + "/test")).send().await.unwrap();
let handler = ResponseHandler::new();
let result = handler.create_streaming_response(llm_response).await;
mock.assert_async().await;
assert!(result.is_ok());
let response = result.unwrap();
assert_eq!(response.status(), StatusCode::OK);
assert!(response.headers().contains_key("content-type"));
}
}

34
crates/brightstaff/src/main.rs
View file

@ -1,3 +1,4 @@
use brightstaff::handlers::agent_chat_completions::agent_chat;
use brightstaff::handlers::chat_completions::chat; use brightstaff::handlers::chat_completions::chat;
use brightstaff::handlers::models::list_models; use brightstaff::handlers::models::list_models;
use brightstaff::router::llm_router::RouterService; use brightstaff::router::llm_router::RouterService;
@ -61,7 +62,9 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
let arch_config = Arc::new(config); let arch_config = Arc::new(config);
let llm_providers = Arc::new(RwLock::new(arch_config.llm_providers.clone())); let llm_providers = Arc::new(RwLock::new(arch_config.model_providers.clone()));
let agents_list = Arc::new(RwLock::new(arch_config.agents.clone()));
let listeners = Arc::new(RwLock::new(arch_config.listeners.clone()));
debug!( debug!(
"arch_config: {:?}", "arch_config: {:?}",
@ -84,11 +87,11 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
let routing_llm_provider = arch_config let routing_llm_provider = arch_config
.routing .routing
.as_ref() .as_ref()
.and_then(|r| r.llm_provider.clone()) .and_then(|r| r.model_provider.clone())
.unwrap_or_else(|| DEFAULT_ROUTING_LLM_PROVIDER.to_string()); .unwrap_or_else(|| DEFAULT_ROUTING_LLM_PROVIDER.to_string());
let router_service: Arc<RouterService> = Arc::new(RouterService::new( let router_service: Arc<RouterService> = Arc::new(RouterService::new(
arch_config.llm_providers.clone(), arch_config.model_providers.clone(),
llm_provider_url.clone() + CHAT_COMPLETIONS_PATH, llm_provider_url.clone() + CHAT_COMPLETIONS_PATH,
routing_model_name, routing_model_name,
routing_llm_provider, routing_llm_provider,
@ -106,12 +109,16 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
let llm_provider_url = llm_provider_url.clone(); let llm_provider_url = llm_provider_url.clone();
let llm_providers = llm_providers.clone(); let llm_providers = llm_providers.clone();
let agents_list = agents_list.clone();
let listeners = listeners.clone();
let service = service_fn(move |req| { let service = service_fn(move |req| {
let router_service = Arc::clone(&router_service); let router_service = Arc::clone(&router_service);
let parent_cx = extract_context_from_request(&req); let parent_cx = extract_context_from_request(&req);
let llm_provider_url = llm_provider_url.clone(); let llm_provider_url = llm_provider_url.clone();
let llm_providers = llm_providers.clone(); let llm_providers = llm_providers.clone();
let model_aliases = Arc::clone(&model_aliases); let model_aliases = Arc::clone(&model_aliases);
let agents_list = agents_list.clone();
let listeners = listeners.clone();
async move { async move {
match (req.method(), req.uri().path()) { match (req.method(), req.uri().path()) {
@ -122,8 +129,24 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
.with_context(parent_cx) .with_context(parent_cx)
.await .await
} }
(&Method::GET, "/v1/models") => Ok(list_models(llm_providers).await), (&Method::POST, "/agents/v1/chat/completions") => {
(&Method::OPTIONS, "/v1/models") => { let fully_qualified_url =
format!("{}{}", llm_provider_url, req.uri().path());
agent_chat(
req,
router_service,
fully_qualified_url,
agents_list,
listeners,
)
.with_context(parent_cx)
.await
}
(&Method::GET, "/v1/models" | "/agents/v1/models") => {
Ok(list_models(llm_providers).await)
}
// hack for now to get openw-web-ui to work
(&Method::OPTIONS, "/v1/models" | "/agents/v1/models") => {
let mut response = Response::new(empty()); let mut response = Response::new(empty());
*response.status_mut() = StatusCode::NO_CONTENT; *response.status_mut() = StatusCode::NO_CONTENT;
response response
@ -147,6 +170,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
Ok(response) Ok(response)
} }
_ => { _ => {
debug!("No route for {} {}", req.method(), req.uri().path());
let mut not_found = Response::new(empty()); let mut not_found = Response::new(empty());
*not_found.status_mut() = StatusCode::NOT_FOUND; *not_found.status_mut() = StatusCode::NOT_FOUND;
Ok(not_found) Ok(not_found)

8
crates/brightstaff/src/router/llm_router.rs
View file

@ -79,7 +79,13 @@ impl RouterService {
trace_parent: Option<String>, trace_parent: Option<String>,
usage_preferences: Option<Vec<ModelUsagePreference>>, usage_preferences: Option<Vec<ModelUsagePreference>>,
) -> Result<Option<(String, String)>> { ) -> Result<Option<(String, String)>> {
if !self.llm_usage_defined { if messages.is_empty() {
return Ok(None);
}
if (usage_preferences.is_none() || usage_preferences.as_ref().unwrap().len() < 2)
&& !self.llm_usage_defined
{
return Ok(None); return Ok(None);
} }

29
crates/common/src/configuration.rs
View file

@ -9,7 +9,7 @@ use crate::api::open_ai::{
#[derive(Debug, Clone, Serialize, Deserialize)] #[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Routing { pub struct Routing {
pub llm_provider: Option<String>, pub model_provider: Option<String>,
pub model: Option<String>, pub model: Option<String>,
} }
@ -18,11 +18,34 @@ pub struct ModelAlias {
pub target: String, pub target: String,
} }
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Agent {
pub id: String,
pub kind: Option<String>,
pub url: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentFilterChain {
pub id: String,
pub default: Option<bool>,
pub description: Option<String>,
pub filter_chain: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Listener {
pub name: String,
pub router: Option<String>,
pub agents: Option<Vec<AgentFilterChain>>,
pub port: u16,
}
#[derive(Debug, Clone, Serialize, Deserialize)] #[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Configuration { pub struct Configuration {
pub version: String, pub version: String,
pub endpoints: Option<HashMap<String, Endpoint>>, pub endpoints: Option<HashMap<String, Endpoint>>,
pub llm_providers: Vec<LlmProvider>, pub model_providers: Vec<LlmProvider>,
pub model_aliases: Option<HashMap<String, ModelAlias>>, pub model_aliases: Option<HashMap<String, ModelAlias>>,
pub overrides: Option<Overrides>, pub overrides: Option<Overrides>,
pub system_prompt: Option<String>, pub system_prompt: Option<String>,
@ -33,6 +56,8 @@ pub struct Configuration {
pub tracing: Option<Tracing>, pub tracing: Option<Tracing>,
pub mode: Option<GatewayMode>, pub mode: Option<GatewayMode>,
pub routing: Option<Routing>, pub routing: Option<Routing>,
pub agents: Option<Vec<Agent>>,
pub listeners: Vec<Listener>,
} }
#[derive(Debug, Clone, Serialize, Deserialize, Default)] #[derive(Debug, Clone, Serialize, Deserialize, Default)]

1
crates/common/src/consts.rs
View file

@ -30,3 +30,4 @@ pub const HALLUCINATION_TEMPLATE: &str =
pub const OTEL_COLLECTOR_HTTP: &str = "opentelemetry_collector_http"; pub const OTEL_COLLECTOR_HTTP: &str = "opentelemetry_collector_http";
pub const OTEL_POST_PATH: &str = "/v1/traces"; pub const OTEL_POST_PATH: &str = "/v1/traces";
pub const LLM_ROUTE_HEADER: &str = "x-arch-llm-route"; pub const LLM_ROUTE_HEADER: &str = "x-arch-llm-route";
pub const ENVOY_RETRY_HEADER: &str = "x-envoy-max-retries";

2
crates/llm_gateway/src/filter_context.rs
View file

@ -74,7 +74,7 @@ impl RootContext for FilterContext {
ratelimit::ratelimits(Some(config.ratelimits.unwrap_or_default())); ratelimit::ratelimits(Some(config.ratelimits.unwrap_or_default()));
self.overrides = Rc::new(config.overrides); self.overrides = Rc::new(config.overrides);
match config.llm_providers.try_into() { match config.model_providers.try_into() {
Ok(llm_providers) => self.llm_providers = Some(Rc::new(llm_providers)), Ok(llm_providers) => self.llm_providers = Some(Rc::new(llm_providers)),
Err(err) => panic!("{err}"), Err(err) => panic!("{err}"),
} }

9
demos/use_cases/llm_routing/arch_config.yaml
View file

@ -1,13 +1,12 @@
version: v0.1.0 version: v0.3.0
listeners: listeners:
egress_traffic: - type: model
name: model_1
address: 0.0.0.0 address: 0.0.0.0
port: 12000 port: 12000
message_format: openai
timeout: 30s
llm_providers: model_providers:
- access_key: $OPENAI_API_KEY - access_key: $OPENAI_API_KEY
model: openai/gpt-4o-mini model: openai/gpt-4o-mini

50
docs/source/resources/includes/arch_config_full_reference_rendered.yaml
View file

@ -10,17 +10,40 @@ endpoints:
endpoint: 127.0.0.1 endpoint: 127.0.0.1
port: 8001 port: 8001
listeners: listeners:
egress_traffic: - address: 0.0.0.0
address: 0.0.0.0 model_providers:
message_format: openai - access_key: $OPENAI_API_KEY
port: 12000 default: true
timeout: 5s model: gpt-4o
ingress_traffic: name: openai/gpt-4o
address: 0.0.0.0 provider_interface: openai
message_format: openai - access_key: $MISTRAL_API_KEY
port: 10000 model: mistral-8x7b
timeout: 5s name: mistral/mistral-8x7b
llm_providers: provider_interface: mistral
- base_url: http://mistral_local
cluster_name: mistral_mistral_local
endpoint: mistral_local
model: mistral-7b-instruct
name: mistral/mistral-7b-instruct
port: 80
protocol: http
provider_interface: mistral
name: egress_traffic
port: 12000
timeout: 5s
type: model_listener
- address: 0.0.0.0
name: ingress_traffic
port: 10000
timeout: 5s
type: prompt_listener
model_aliases:
arch.summarize.v1:
target: gpt-4o
arch.v1:
target: mistral-8x7b
model_providers:
- access_key: $OPENAI_API_KEY - access_key: $OPENAI_API_KEY
default: true default: true
model: gpt-4o model: gpt-4o
@ -38,11 +61,6 @@ llm_providers:
port: 80 port: 80
protocol: http protocol: http
provider_interface: mistral provider_interface: mistral
model_aliases:
arch.summarize.v1:
target: gpt-4o
arch.v1:
target: mistral-8x7b
overrides: overrides:
prompt_target_intent_matching_threshold: 0.6 prompt_target_intent_matching_threshold: 0.6
prompt_guards: prompt_guards: