updating the network agent to work agin (#425)

Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local>
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Salman Paracha 2025-03-08 14:29:11 -08:00 committed by GitHub
parent e8dc7f18d3
commit ffb8566c36
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4 changed files with 47 additions and 45 deletions

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@ -11,7 +11,7 @@ llm_providers:
- name: OpenAI
provider_interface: openai
access_key: $OPENAI_API_KEY
model: gpt-3.5-turbo
model: gpt-4o
default: true
# default system prompt used by all prompt targets
@ -26,25 +26,26 @@ prompt_targets:
path: /agent/device_summary
http_method: POST
parameters:
- name: device_ids
type: list
description: A list of device identifiers (IDs) to retrieve statistics for.
- name: device_id
type: str
description: A device identifier to retrieve statistics for.
required: true # device_ids are required to get device statistics
- name: days
type: int
description: The number of days for which to gather device statistics.
default: "7"
- name: reboot_devices
description: Reboot a list of devices
default: 7
- name: reboot_device
description: Reboot a device
endpoint:
name: app_server
path: /agent/device_reboot
http_method: POST
parameters:
- name: device_ids
type: list
description: A list of device identifiers (IDs).
- name: device_id
type: str
description: the device identifier
required: true
system_prompt: You will get a status JSON object. Simply summarize it
# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
endpoints:
@ -55,3 +56,8 @@ endpoints:
endpoint: host.docker.internal:18083
# max time to wait for a connection to be established
connect_timeout: 0.005s
tracing:
random_sampling: 100
trace_arch_internal: true

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@ -18,3 +18,11 @@ services:
- "host.docker.internal:host-gateway"
volumes:
- ./arch_config.yaml:/app/arch_config.yaml
jaeger:
build:
context: ../../shared/jaeger
ports:
- "16686:16686"
- "4317:4317"
- "4318:4318"

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@ -13,7 +13,7 @@ DEMO_DESCRIPTION = """This demo illustrates how **Arch** can be used to perform
# Define the request model
class DeviceSummaryRequest(BaseModel):
device_ids: List[int]
device_id: str
time_range: Optional[int] = Field(
default=7, description="Time range in days, defaults to 7"
)
@ -21,7 +21,7 @@ class DeviceSummaryRequest(BaseModel):
# Define the response model
class DeviceStatistics(BaseModel):
device_id: int
device_id: str
time_range: str
data: str
@ -33,7 +33,7 @@ class DeviceSummaryResponse(BaseModel):
class DeviceRebootRequest(BaseModel):
device_ids: List[int]
device_id: str
# Response model for the device reboot
@ -49,24 +49,21 @@ def reboot_network_device(request_data: DeviceRebootRequest):
"""
# Access data from the Pydantic model
device_ids = request_data.device_ids
device_id = request_data.device_id
# Validate 'device_ids'
# Validate 'device_id'
# (This is already validated by Pydantic, but additional logic can be added if needed)
if not device_ids:
raise HTTPException(
status_code=400, detail="'device_ids' parameter is required"
)
if not device_id:
raise HTTPException(status_code=400, detail="'device_id' parameter is required")
# Simulate reboot operation and return the response
statistics = []
for device_id in device_ids:
# Placeholder for actual data retrieval or device reboot logic
stats = {"data": f"Device {device_id} has been successfully rebooted."}
statistics.append(stats)
# Placeholder for actual data retrieval or device reboot logic
stats = {"data": f"Device {device_id} has been successfully rebooted."}
statistics.append(stats)
# Return the response with a summary
return CoverageResponse(status="success", summary={"device_ids": device_ids})
return CoverageResponse(status="success", summary={"device_id": device_id})
# Post method for device summary
@ -76,28 +73,20 @@ def get_device_summary(request: DeviceSummaryRequest):
Endpoint to retrieve device statistics based on device IDs and an optional time range.
"""
# Extract 'device_ids' and 'time_range' from the request
device_ids = request.device_ids
# Extract 'device_id' and 'time_range' from the request
device_id = request.device_id
time_range = request.time_range
# Simulate retrieving statistics for the given device IDs and time range
statistics = []
minutes = 1
for device_id in device_ids:
stats = {
"device_id": device_id,
"time_range": f"Last {time_range} days",
"data": f"""Device {device_id} over the last {time_range} days experienced {minutes}
minutes of downtime.""",
}
minutes += 1
statistics.append(DeviceStatistics(**stats))
minutes = 4
stats = {
"device_id": device_id,
"time_range": f"Last {time_range} days",
"data": f"""Device {device_id} over the last {time_range} days experienced {minutes}
minutes of downtime.""",
}
statistics.append(DeviceStatistics(**stats))
return DeviceSummaryResponse(statistics=statistics)
CHAT_COMPLETION_ENDPOINT = os.getenv("CHAT_COMPLETION_ENDPOINT")
client = OpenAI(
api_key="--",
base_url=CHAT_COMPLETION_ENDPOINT,
)

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@ -22,9 +22,8 @@ start_demo() {
echo "Starting Arch with arch_config.yaml..."
archgw up arch_config.yaml
# Step 4: Start Network Agent
# Step 4: Start developer services
echo "Starting Network Agent using Docker Compose..."
cd build
docker compose up -d # Run in detached mode
}