File size: 15,563 Bytes
363cda9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 |
"""
Supervisor API Client.
A client for interacting with the HR Supervisor Agent API.
Supports both regular and streaming responses.
=============================================================================
AVAILABLE METHODS:
=============================================================================
WITH CONTEXT ENGINEERING (CompactingSupervisor wrapper):
- chat() : Batch response with automatic context compaction
- stream() : Streaming response with context compaction [HAS ERRORS - TODO FIX]
RAW SUPERVISOR (Direct agent access, no wrapper):
- chat_raw() : Batch response, direct supervisor agent
- stream_raw() : Streaming response, direct supervisor agent [HAS ERRORS - TODO FIX]
=============================================================================
NOTE: Both streaming methods (stream() and stream_raw()) have known issues
that need to be fixed. Use batch methods (chat, chat_raw) for reliable operation.
=============================================================================
"""
import os
import json
from dataclasses import dataclass
from typing import Generator, Optional
import requests
def _clean_base_url(url: str) -> str:
"""Normalize base URL to avoid issues from quoted env vars."""
cleaned = url.strip().strip("\"'")
if cleaned.endswith("/"):
cleaned = cleaned[:-1]
return cleaned
@dataclass
class ChatResponse:
"""Response from a chat request."""
content: str
thread_id: str
token_count: int
@dataclass
class StreamChunk:
"""A chunk from a streaming response."""
type: str # 'token', 'done', or 'error'
content: Optional[str] = None
thread_id: Optional[str] = None
token_count: Optional[int] = None
error: Optional[str] = None
class SupervisorClient:
"""
Client for the HR Supervisor Agent API.
Two categories of methods:
1. WITH CONTEXT ENGINEERING (uses CompactingSupervisor wrapper):
- chat() : Batch request with automatic context compaction
- stream() : Streaming with context compaction [HAS ERRORS - TODO FIX]
2. RAW SUPERVISOR (direct agent access, no wrapper):
- chat_raw() : Batch request, direct supervisor agent
- stream_raw() : Streaming, direct supervisor agent [HAS ERRORS - TODO FIX]
⚠️ NOTE: Both streaming methods have issues. Use batch methods for reliable operation.
Usage:
client = SupervisorClient()
# Batch chat with context engineering (RECOMMENDED)
response = client.chat("Show me all candidates")
print(response.content)
# Batch chat without wrapper (RECOMMENDED)
response = client.chat_raw("Show me all candidates")
print(response.content)
# With conversation continuity
response1 = client.chat("Show me all candidates", thread_id="abc123")
response2 = client.chat("Tell me more about the first one", thread_id="abc123")
"""
def __init__(self, base_url: Optional[str] = None, session_id: Optional[str] = None):
"""
Initialize the Supervisor client.
Args:
base_url: API base URL. Defaults to SUPERVISOR_API_URL env var
or http://localhost:8080/api/v1/supervisor
"""
raw = base_url or os.getenv(
"SUPERVISOR_API_URL",
"http://localhost:8080/api/v1/supervisor"
)
self.base_url = _clean_base_url(raw)
self.session_id = (session_id or os.getenv("SESSION_ID") or "").strip().strip("\"'")
def _headers(self) -> dict:
"""Build headers including session isolation id."""
headers = {}
if self.session_id:
headers["X-Session-Id"] = self.session_id
return headers
# =========================================================================
# CONTEXT ENGINEERING METHODS (with CompactingSupervisor wrapper)
# =========================================================================
def chat(self, message: str, thread_id: Optional[str] = None, timeout: int = 120) -> ChatResponse:
"""
Send a message and get a complete response.
Uses CompactingSupervisor wrapper for automatic context management.
When token limit is exceeded, old messages are compacted/summarized.
Args:
message: The message to send
thread_id: Optional thread ID for conversation continuity
timeout: Request timeout in seconds
Returns:
ChatResponse with content, thread_id, and token_count
Raises:
requests.exceptions.RequestException: On connection errors
ValueError: On API errors
"""
payload = {"message": message, "thread_id": thread_id}
response = requests.post(
f"{self.base_url}/chat",
json=payload,
headers=self._headers(),
timeout=timeout
)
if response.status_code != 200:
error = response.json().get("detail", "Unknown error")
raise ValueError(f"API error: {error}")
data = response.json()
return ChatResponse(
content=data["response"],
thread_id=data["thread_id"],
token_count=data["token_count"]
)
def stream(
self,
message: str,
thread_id: Optional[str] = None,
timeout: int = 300
) -> Generator[StreamChunk, None, None]:
"""
Send a message and stream the response token by token.
⚠️ WARNING: This method has known issues and needs to be fixed.
Use stream_raw() for reliable streaming, or chat() for batch requests.
Uses CompactingSupervisor wrapper for automatic context management.
Args:
message: The message to send
thread_id: Optional thread ID for conversation continuity
timeout: Request timeout in seconds
Yields:
StreamChunk objects with type 'token', 'done', or 'error'
Example:
full_response = ""
for chunk in client.stream("Hello"):
if chunk.type == "token":
full_response += chunk.content
print(chunk.content, end="", flush=True)
elif chunk.type == "done":
print(f"\\nThread: {chunk.thread_id}")
elif chunk.type == "error":
print(f"Error: {chunk.error}")
"""
payload = {"message": message, "thread_id": thread_id}
try:
with requests.post(
f"{self.base_url}/chat/stream",
json=payload,
headers=self._headers(),
stream=True,
timeout=timeout
) as response:
if response.status_code != 200:
yield StreamChunk(
type="error",
error=f"API returned status {response.status_code}"
)
return
current_event = None
for line in response.iter_lines(decode_unicode=True):
if not line:
continue
if line.startswith("event:"):
current_event = line[6:].strip()
elif line.startswith("data:") and current_event:
try:
data = json.loads(line[5:].strip())
if current_event == "token":
yield StreamChunk(
type="token",
content=data.get("content", "")
)
elif current_event == "done":
yield StreamChunk(
type="done",
thread_id=data.get("thread_id"),
token_count=data.get("token_count", 0)
)
elif current_event == "error":
yield StreamChunk(
type="error",
error=data.get("error", "Unknown error")
)
except json.JSONDecodeError:
continue
current_event = None
except requests.exceptions.ConnectionError:
yield StreamChunk(
type="error",
error="Cannot connect to API. Make sure the server is running."
)
except requests.exceptions.Timeout:
yield StreamChunk(type="error", error="Request timed out.")
except Exception as e:
yield StreamChunk(type="error", error=str(e))
def new_chat(self) -> str:
"""
Create a new chat session.
Returns:
New thread_id
Raises:
requests.exceptions.RequestException: On connection errors
"""
response = requests.post(f"{self.base_url}/new", headers=self._headers())
response.raise_for_status()
return response.json()["thread_id"]
# =========================================================================
# RAW SUPERVISOR METHODS (No CompactingSupervisor wrapper)
# =========================================================================
def chat_raw(self, message: str, thread_id: Optional[str] = None, timeout: int = 120) -> ChatResponse:
"""
Send a message to the raw supervisor agent (without context compaction).
This bypasses the CompactingSupervisor wrapper, giving direct access
to the underlying supervisor agent. Useful for debugging or when you
want full control over context management.
Args:
message: The message to send
thread_id: Optional thread ID for conversation continuity
timeout: Request timeout in seconds
Returns:
ChatResponse with content, thread_id, and token_count
Raises:
requests.exceptions.RequestException: On connection errors
ValueError: On API errors
"""
payload = {"message": message, "thread_id": thread_id}
response = requests.post(
f"{self.base_url}/raw/chat",
json=payload,
headers=self._headers(),
timeout=timeout
)
if response.status_code != 200:
error = response.json().get("detail", "Unknown error")
raise ValueError(f"API error: {error}")
data = response.json()
return ChatResponse(
content=data["response"],
thread_id=data["thread_id"],
token_count=data["token_count"]
)
def stream_raw(
self,
message: str,
thread_id: Optional[str] = None,
timeout: int = 300
) -> Generator[StreamChunk, None, None]:
"""
Stream a response from the raw supervisor agent (without context compaction).
⚠️ WARNING: This method has known issues and needs to be fixed.
Use chat_raw() for reliable batch requests.
This bypasses the CompactingSupervisor wrapper, giving direct access
to the underlying supervisor agent's streaming capabilities.
Args:
message: The message to send
thread_id: Optional thread ID for conversation continuity
timeout: Request timeout in seconds
Yields:
StreamChunk objects with type 'token', 'done', or 'error'
Example:
full_response = ""
for chunk in client.stream_raw("Hello"):
if chunk.type == "token":
full_response += chunk.content
print(chunk.content, end="", flush=True)
elif chunk.type == "done":
print(f"\\nThread: {chunk.thread_id}")
elif chunk.type == "error":
print(f"Error: {chunk.error}")
"""
payload = {"message": message, "thread_id": thread_id}
try:
with requests.post(
f"{self.base_url}/raw/chat/stream",
json=payload,
headers=self._headers(),
stream=True,
timeout=timeout
) as response:
if response.status_code != 200:
yield StreamChunk(
type="error",
error=f"API returned status {response.status_code}"
)
return
current_event = None
for line in response.iter_lines(decode_unicode=True):
if not line:
continue
if line.startswith("event:"):
current_event = line[6:].strip()
elif line.startswith("data:") and current_event:
try:
data = json.loads(line[5:].strip())
if current_event == "token":
yield StreamChunk(
type="token",
content=data.get("content", "")
)
elif current_event == "done":
yield StreamChunk(
type="done",
thread_id=data.get("thread_id"),
token_count=data.get("token_count", 0)
)
elif current_event == "error":
yield StreamChunk(
type="error",
error=data.get("error", "Unknown error")
)
except json.JSONDecodeError:
continue
current_event = None
except requests.exceptions.ConnectionError:
yield StreamChunk(
type="error",
error="Cannot connect to API. Make sure the server is running."
)
except requests.exceptions.Timeout:
yield StreamChunk(type="error", error="Request timed out.")
except Exception as e:
yield StreamChunk(type="error", error=str(e))
def health(self) -> bool:
"""
Check if the API is healthy.
Returns:
True if healthy, False otherwise
"""
try:
response = requests.get(f"{self.base_url}/health", timeout=5, headers=self._headers())
return response.status_code == 200
except requests.exceptions.RequestException:
return False
|