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fix: focusing on prod env

This commit is contained in:
ajspig 2026-01-15 10:37:18 -05:00
parent 532675300f
commit 74c199aae5
4 changed files with 21 additions and 45 deletions
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21
examples/agno/python/examples/multi_peer_example.py
View File

@ -9,8 +9,7 @@ A realistic multi-agent scenario using Agno's patterns:
Environment Variables:
OPENAI_API_KEY or LLM_OPENAI_API_KEY: OpenAI API key
HONCHO_ENVIRONMENT: 'local' or 'production' (default: production)
HONCHO_API_KEY: Required for production environment
HONCHO_API_KEY: Required for Honcho API access
"""
import os
@ -27,11 +26,11 @@ from honcho_agno import HonchoTools
load_dotenv()
if not os.getenv("OPENAI_API_KEY") and os.getenv("LLM_OPENAI_API_KEY"):
os.environ["OPENAI_API_KEY"] = os.getenv("LLM_OPENAI_API_KEY")
if not os.getenv("OPENAI_API_KEY") and (llm_key := os.getenv("LLM_OPENAI_API_KEY")):
os.environ["OPENAI_API_KEY"] = llm_key
def create_advisor_system(honcho_env: str, session_id: str):
def create_advisor_system(session_id: str):
"""
Creates a multi-agent advisory system where:
- Each specialist agent has its own identity (HonchoTools)
@ -41,7 +40,7 @@ def create_advisor_system(honcho_env: str, session_id: str):
model_id = os.getenv("OPENAI_MODEL", "gpt-4o")
# Shared Honcho client and session
honcho = Honcho(workspace_id="advisory-system", environment=honcho_env)
honcho = Honcho(workspace_id="advisory-system")
session = honcho.session(session_id)
user_peer = honcho.peer("user")
@ -52,7 +51,6 @@ def create_advisor_system(honcho_env: str, session_id: str):
app_id="advisory-system",
peer_id="tech-specialist",
session_id=session_id,
environment=honcho_env,
honcho_client=honcho,
)
@ -73,7 +71,6 @@ def create_advisor_system(honcho_env: str, session_id: str):
app_id="advisory-system",
peer_id="business-specialist",
session_id=session_id,
environment=honcho_env,
honcho_client=honcho,
)
@ -106,7 +103,7 @@ def create_advisor_system(honcho_env: str, session_id: str):
Technical specialist's response.
"""
response = tech_agent.run(question)
return response.content
return str(response.content) if response.content else ""
@tool
def consult_business_specialist(question: str) -> str:
@ -121,14 +118,13 @@ def create_advisor_system(honcho_env: str, session_id: str):
Business specialist's response.
"""
response = business_agent.run(question)
return response.content
return str(response.content) if response.content else ""
# Coordinator has its own identity too
coordinator_tools = HonchoTools(
app_id="advisory-system",
peer_id="coordinator",
session_id=session_id,
environment=honcho_env,
honcho_client=honcho,
)
@ -150,13 +146,12 @@ def create_advisor_system(honcho_env: str, session_id: str):
def main(test_mode: bool = False):
honcho_env = os.getenv("HONCHO_ENVIRONMENT", "production")
session_id = f"advisory-{uuid.uuid4().hex[:8]}"
print(f"Session: {session_id}")
print("=" * 60)
coordinator, session, user_peer = create_advisor_system(honcho_env, session_id)
coordinator, session, user_peer = create_advisor_system(session_id)
if test_mode:
# Non-interactive test

16
examples/agno/python/examples/multi_tool_example.py
View File

@ -15,8 +15,7 @@ Pattern: toolkit = agent identity
Environment Variables:
OPENAI_API_KEY or LLM_OPENAI_API_KEY: OpenAI API key
OPENAI_MODEL: Model to use (default: gpt-4o)
HONCHO_ENVIRONMENT: 'local' or 'production' (default: production)
HONCHO_API_KEY: Required for production environment
HONCHO_API_KEY: Required for Honcho API access
"""
import os
@ -32,8 +31,8 @@ from honcho_agno import HonchoTools
load_dotenv()
# Support both OPENAI_API_KEY and LLM_OPENAI_API_KEY
if not os.getenv("OPENAI_API_KEY") and os.getenv("LLM_OPENAI_API_KEY"):
os.environ["OPENAI_API_KEY"] = os.getenv("LLM_OPENAI_API_KEY")
if not os.getenv("OPENAI_API_KEY") and (llm_key := os.getenv("LLM_OPENAI_API_KEY")):
os.environ["OPENAI_API_KEY"] = llm_key
def main():
@ -41,14 +40,8 @@ def main():
print("HONCHO TOOLS + AGNO EXAMPLE")
print("=" * 70 + "\n")
# Get environment settings
honcho_env = os.getenv("HONCHO_ENVIRONMENT", "production")
# Initialize Honcho for managing the session and user peer
honcho = Honcho(
workspace_id="travel-app",
environment=honcho_env,
)
honcho = Honcho(workspace_id="travel-app")
session = honcho.session("trip-planning-session")
user_peer = honcho.peer("traveler-42")
@ -57,7 +50,6 @@ def main():
app_id="travel-app",
peer_id="travel-assistant", # The toolkit speaks as "travel-assistant"
session_id="trip-planning-session",
environment=honcho_env,
honcho_client=honcho,
)

18
examples/agno/python/examples/simple_example.py
View File

@ -3,8 +3,7 @@ Simple Honcho + Agno Example
Environment Variables:
OPENAI_API_KEY or LLM_OPENAI_API_KEY: OpenAI API key
HONCHO_ENVIRONMENT: 'local' or 'production' (default: production)
HONCHO_API_KEY: Required for production environment
HONCHO_API_KEY: Required for Honcho API access
"""
import os
@ -21,22 +20,16 @@ from honcho_agno import HonchoTools
load_dotenv()
# Support both OPENAI_API_KEY and LLM_OPENAI_API_KEY
if not os.getenv("OPENAI_API_KEY") and os.getenv("LLM_OPENAI_API_KEY"):
os.environ["OPENAI_API_KEY"] = os.getenv("LLM_OPENAI_API_KEY")
if not os.getenv("OPENAI_API_KEY") and (llm_key := os.getenv("LLM_OPENAI_API_KEY")):
os.environ["OPENAI_API_KEY"] = llm_key
def main():
# Get environment settings
honcho_env = os.getenv("HONCHO_ENVIRONMENT", "production")
# Create shared session
session_id = f"simple-{uuid.uuid4().hex[:8]}"
# Initialize Honcho directly for managing user messages
honcho = Honcho(
workspace_id="agno-demo",
environment=honcho_env,
)
honcho = Honcho(workspace_id="agno-demo")
session = honcho.session(session_id)
user_peer = honcho.peer("user")
@ -45,7 +38,6 @@ def main():
app_id="agno-demo",
peer_id="assistant", # The toolkit speaks as "assistant"
session_id=session_id, # Same session as user
environment=honcho_env,
honcho_client=honcho, # Reuse client
)
@ -89,6 +81,4 @@ def main():
if __name__ == "__main__":
import sys
# Run directly - test mode is default for non-interactive execution
main()

11
examples/agno/python/src/honcho_agno/tools.py
View File

@ -12,11 +12,15 @@ directly to manage other peers.
import logging
import uuid
from typing import Any, Literal
from typing import TYPE_CHECKING, Any
from agno.tools import Toolkit
from honcho import Honcho
if TYPE_CHECKING:
from honcho.peer import Peer
from honcho.session import Session
logger = logging.getLogger(__name__)
@ -60,7 +64,6 @@ class HonchoTools(Toolkit):
session_id: str | None = None,
api_key: str | None = None,
base_url: str | None = None,
environment: Literal["local", "production"] | None = "production",
honcho_client: Honcho | None = None,
) -> None:
"""
@ -78,8 +81,6 @@ class HonchoTools(Toolkit):
api_key: Optional API key for Honcho. If not provided, will
attempt to read from HONCHO_API_KEY environment variable.
base_url: Optional base URL for the Honcho API.
environment: Environment to use. Options: "local", "production".
Defaults to "production".
honcho_client: Optional pre-configured Honcho client instance.
If provided, other connection parameters are ignored.
"""
@ -95,8 +96,6 @@ class HonchoTools(Toolkit):
client_kwargs["api_key"] = api_key
if base_url is not None:
client_kwargs["base_url"] = base_url
if environment is not None:
client_kwargs["environment"] = environment
self.honcho = Honcho(**client_kwargs)
# Store identifiers