Update to 1.1.0

api/routes/playground.py

@@ -6,6 +6,7 @@
 from agents.research import get_research_agent
 from agents.web_search import get_web_search_agent
 from agents.simple_agent import get_simple_agent
+
 # Import workflows
 from workflows.blog_post_generator import get_blog_post_generator
 from workflows.investment_report_generator import get_investment_report_generator
@@ -26,7 +27,7 @@
 
 # Create a playground instance
 playground = Playground(
-    agents=[simple_agent,web_search_agent, research_agent, finance_agent],
+    agents=[simple_agent, web_search_agent, research_agent, finance_agent],
     workflows=[blog_post_generator, investment_report_generator, startup_idea_validator],
 )
 # Log the playground endpoint with phidata.app

api/settings.py

@@ -48,6 +48,7 @@ def set_cors_origin_list(cls, cors_origin_list, info: FieldValidationInfo):
                 "http://localhost:3000",
                 "https://app.agno.com",
                 "https://app-stg.agno.com",
+                # Add more here if you are not hosting on localhost
             ]
         )
 

pyproject.toml

@@ -7,7 +7,8 @@ authors = [{ name = "Agno Team", email = "[email protected]" }]
 
 dependencies = [
   "agno-aws==0.0.1",
-  "agno==1.0.8",
+  "agno-docker==0.0.1",
+  "agno==1.1.0",
   "alembic",
   "beautifulsoup4",
   "duckdb",

requirements.txt

@@ -1,7 +1,8 @@
 # This file was autogenerated by uv via the following command:
 #    ./scripts/generate_requirements.sh
-agno==1.0.8
+agno==1.1.0
 agno-aws==0.0.1
+agno-docker==0.0.1
 alembic==1.14.1
 annotated-types==0.7.0
 anyio==4.8.0
@@ -13,6 +14,7 @@ charset-normalizer==3.4.1
 click==8.1.8
 distro==1.9.0
 dnspython==2.7.0
+docker==7.1.0
 docstring-parser==0.16
 duckdb==1.1.3
 duckduckgo-search==7.3.0

workflows/blog_post_generator.py

@@ -202,7 +202,7 @@ class BlogPostGenerator(Workflow):
         markdown=True,
     )
 
-    def run(
+    def run(  # type: ignore
         self,
         topic: str,
         use_search_cache: bool = True,
@@ -243,7 +243,8 @@ def run(
         yield from self.writer.run(json.dumps(writer_input, indent=4), stream=True)
 
         # Save the blog post in the cache
-        self.add_blog_post_to_cache(topic, self.writer.run_response.content)
+        if self.writer.run_response:
+            self.add_blog_post_to_cache(topic, str(self.writer.run_response.content))
 
     def get_cached_blog_post(self, topic: str) -> Optional[str]:
         logger.info("Checking if cached blog post exists")

workflows/investment_report_generator.py

@@ -121,7 +121,7 @@ class InvestmentReportGenerator(Workflow):
         """),
     )
 
-    def run(self, companies: str) -> Iterator[RunResponse]:
+    def run(self, companies: str) -> Iterator[RunResponse]:  # type: ignore
         logger.info(f"Getting investment reports for companies: {companies}")
         initial_report: RunResponse = self.stock_analyst.run(companies)
         if initial_report is None or not initial_report.content:

workflows/startup_idea_validator.py

@@ -4,7 +4,7 @@
 from agno.agent import Agent
 from agno.models.openai import OpenAIChat
 from agno.storage.workflow.postgres import PostgresWorkflowStorage
-from agno.tools.googlesearch import GoogleSearch
+from agno.tools.googlesearch import GoogleSearchTools
 from agno.utils.log import logger
 from agno.workflow import RunEvent, RunResponse, Workflow
 from pydantic import BaseModel, Field
@@ -43,7 +43,7 @@ class StartupIdeaValidator(Workflow):
 
     market_research_agent: Agent = Agent(
         model=OpenAIChat(id=workflow_settings.gpt_4_mini),
-        tools=[GoogleSearch()],
+        tools=[GoogleSearchTools()],
         instructions=[
             "You are provided with a startup idea and the company's mission and objectives. ",
             "Estimate the total addressable market (TAM), serviceable available market (SAM), and serviceable obtainable market (SOM). ",
@@ -59,7 +59,7 @@ class StartupIdeaValidator(Workflow):
 
     competitor_analysis_agent: Agent = Agent(
         model=OpenAIChat(id=workflow_settings.gpt_4_mini),
-        tools=[GoogleSearch()],
+        tools=[GoogleSearchTools()],
         instructions=[
             "You are provided with a startup idea and some market research related to the idea. ",
             "Identify existing competitors in the market. ",
@@ -142,7 +142,7 @@ def get_competitor_analysis(self, startup_idea: str, market_research: MarketRese
 
         return None
 
-    def run(self, startup_idea: str) -> Iterator[RunResponse]:
+    def run(self, startup_idea: str) -> Iterator[RunResponse]:  # type: ignore
         logger.info(f"Generating a startup validation report for: {startup_idea}")
 
         # Clarify and quantify the idea