Contexts

Contexts are key-value pairs that provide persistent background information to agents. Use contexts to inject company information, user preferences, or any data that should be available across all conversations.

Quick Start

from lyzr import Studio

studio = Studio(api_key="your-api-key")

# Create a context
context = studio.create_context(
    name="company_info",
    value="Acme Corp is a technology company founded in 2020. We specialize in AI solutions."
)

# Add context to agent
agent = studio.create_agent(
    name="Support Bot",
    provider="gpt-4o",
    role="Customer support",
    goal="Help customers with inquiries"
)
agent.add_context(context)

# Agent now has company info available
response = agent.run("What does your company do?")
# Uses company_info context to answer

Creating Contexts

studio.create_context()

studio.create_context(
    name: str,
    value: str
) -> Context

Parameter	Type	Required	Description
`name`	str	Yes	Context name (key)
`value`	str	Yes	Context value

Example

# Company information
company_ctx = studio.create_context(
    name="company",
    value="""
    Company: TechCorp Inc.
    Industry: Software Development
    Founded: 2015
    Headquarters: San Francisco, CA
    Products: Cloud solutions, AI platforms
    """
)

# Pricing information
pricing_ctx = studio.create_context(
    name="pricing",
    value="""
    Basic Plan: $29/month
    Pro Plan: $99/month
    Enterprise: Custom pricing
    All plans include 24/7 support
    """
)

# User preferences
user_ctx = studio.create_context(
    name="user_preferences",
    value="Language: English, Timezone: PST, Communication style: Professional"
)

Getting Contexts

studio.get_context()

Retrieve a context by ID:

context = studio.get_context("context_id")

print(f"Name: {context.name}")
print(f"Value: {context.value}")
print(f"Created: {context.created_at}")

studio.list_contexts()

List all contexts:

contexts = studio.list_contexts()

for ctx in contexts:
    print(f"{ctx.name}: {ctx.value[:50]}...")

# With pagination
contexts = studio.list_contexts(skip=0, limit=10)
print(f"Total contexts: {len(contexts)}")

Updating Contexts

context.update()

context.update(value: str) -> Context

Update the value of a context:

context = studio.get_context("context_id")

# Update the value
context = context.update(
    value="Updated company information: TechCorp Inc. - Now with 500+ employees"
)

print(f"Updated: {context.value}")

studio.contexts.update()

Update via module:

updated = studio.contexts.update(
    context_id="context_id",
    value="New value for the context"
)

Deleting Contexts

context.delete()

context = studio.get_context("context_id")
success = context.delete()

if success:
    print("Context deleted")

studio.contexts.delete()

Delete via module:

studio.contexts.delete("context_id")

Context Properties

Property	Type	Description
`id`	str	Context ID
`name`	str	Context name (key)
`value`	str	Context value
`api_key`	str	Associated API key
`created_at`	str	Creation timestamp
`updated_at`	str	Last update timestamp

Adding Contexts to Agents

At Creation

context = studio.create_context(name="info", value="Background info")

agent = studio.create_agent(
    name="Bot",
    provider="gpt-4o",
    contexts=[context]  # Pass context during creation
)

After Creation

agent = studio.create_agent(name="Bot", provider="gpt-4o")
context = studio.create_context(name="info", value="Background info")

# Add context to agent
agent.add_context(context)

Multiple Contexts

company_ctx = studio.create_context(name="company", value="...")
product_ctx = studio.create_context(name="products", value="...")
policy_ctx = studio.create_context(name="policies", value="...")

agent = studio.create_agent(
    name="Support Bot",
    provider="gpt-4o",
    contexts=[company_ctx, product_ctx, policy_ctx]
)

Use Cases

Company Knowledge Base

# Create comprehensive company context
company_ctx = studio.create_context(
    name="company_knowledge",
    value="""
    COMPANY OVERVIEW
    ================
    Name: Acme Technologies
    Founded: 2018
    CEO: Jane Smith
    Employees: 250+

    PRODUCTS
    ========
    - AcmeCloud: Cloud infrastructure platform
    - AcmeAI: AI/ML development tools
    - AcmeSecure: Cybersecurity solutions

    SUPPORT HOURS
    =============
    Monday-Friday: 9 AM - 6 PM EST
    Weekend: Email only
    Emergency: 24/7 for Enterprise customers

    CONTACT
    =======
    Support: support@acme.com
    Sales: sales@acme.com
    Phone: 1-800-ACME-123
    """
)

support_agent = studio.create_agent(
    name="Support Agent",
    provider="gpt-4o",
    role="Customer support representative",
    goal="Answer customer questions accurately",
    instructions="Use the company knowledge to answer questions",
    contexts=[company_ctx]
)

User Personalization

def create_user_context(user_data: dict) -> Context:
    """Create personalized context for a user"""
    value = f"""
    USER PROFILE
    ============
    Name: {user_data['name']}
    Account Type: {user_data['account_type']}
    Member Since: {user_data['member_since']}
    Preferred Language: {user_data['language']}
    Timezone: {user_data['timezone']}

    PREFERENCES
    ===========
    Communication: {user_data['comm_style']}
    Notifications: {user_data['notifications']}
    """

    return studio.create_context(
        name=f"user_{user_data['id']}",
        value=value
    )

# Use with agent
user_ctx = create_user_context({
    "id": "12345",
    "name": "John Doe",
    "account_type": "Premium",
    "member_since": "2023-01",
    "language": "English",
    "timezone": "EST",
    "comm_style": "Professional",
    "notifications": "Email"
})

agent.add_context(user_ctx)
response = agent.run("What's my account status?")

Dynamic Pricing

# Update pricing context regularly
def update_pricing():
    prices = fetch_current_prices()  # Your pricing logic

    pricing_ctx = studio.get_context("pricing_context_id")
    pricing_ctx.update(
        value=f"""
        CURRENT PRICING (as of {datetime.now()})

        Basic: ${prices['basic']}/month
        Pro: ${prices['pro']}/month
        Enterprise: Contact sales

        Current Promotions:
        - 20% off annual plans
        - Free trial: 14 days
        """
    )

# Schedule regular updates
update_pricing()

Regulatory Compliance

compliance_ctx = studio.create_context(
    name="compliance_rules",
    value="""
    COMPLIANCE GUIDELINES
    =====================

    GDPR Requirements:
    - Always ask for consent before collecting data
    - Provide data deletion options
    - Explain data usage clearly

    HIPAA (Healthcare):
    - Never share patient information
    - Redirect medical questions to professionals
    - Log all healthcare-related inquiries

    Financial Services:
    - Include required disclaimers
    - Don't provide specific investment advice
    - Recommend consulting licensed advisors
    """
)

agent = studio.create_agent(
    name="Compliant Bot",
    provider="gpt-4o",
    role="Customer service agent",
    instructions="Follow all compliance guidelines strictly",
    contexts=[compliance_ctx]
)

Best Practices

Structured Content

# Good: Well-organized structure
context = studio.create_context(
    name="faq",
    value="""
    FAQ
    ===

    Q: What is the return policy?
    A: 30-day money-back guarantee for all products.

    Q: How do I reset my password?
    A: Click 'Forgot Password' on the login page.

    Q: Do you offer international shipping?
    A: Yes, we ship to 50+ countries.
    """
)

Keep Values Focused

# Good: Focused, relevant information
company_ctx = studio.create_context(
    name="company_basics",
    value="TechCorp - AI solutions company. Support: support@tech.com"
)

# Avoid: Too much unrelated information
# bad_ctx = studio.create_context(
#     name="everything",
#     value="Company info + pricing + policies + history + ..."  # Too broad
# )

Regular Updates

# Create a refresh function for dynamic data
def refresh_inventory_context():
    inventory = get_current_inventory()  # Your inventory system

    ctx = studio.get_context("inventory_id")
    ctx.update(value=format_inventory(inventory))

# Call periodically
refresh_inventory_context()

Naming Conventions

# Good: Clear, descriptive names
studio.create_context(name="company_info", value="...")
studio.create_context(name="product_catalog", value="...")
studio.create_context(name="user_123_preferences", value="...")

# Avoid: Vague names
# studio.create_context(name="ctx1", value="...")
# studio.create_context(name="data", value="...")

Getting Started

Agents

Knowledge Bases

Memory

Tools

RAI Guardrails

Structured Outputs

File & Image Output

Streaming

Reference

Contexts

Quick Start

Creating Contexts

studio.create_context()

Example

Getting Contexts

studio.get_context()

studio.list_contexts()

Updating Contexts

context.update()

studio.contexts.update()

Deleting Contexts

context.delete()

studio.contexts.delete()

Context Properties

Adding Contexts to Agents

At Creation

After Creation

Multiple Contexts

Use Cases

Company Knowledge Base

User Personalization

Dynamic Pricing

Regulatory Compliance

Best Practices

Structured Content

Keep Values Focused

Regular Updates

Naming Conventions

​Quick Start

​Creating Contexts

​studio.create_context()

​Example

​Getting Contexts

​studio.get_context()

​studio.list_contexts()

​Updating Contexts

​context.update()

​studio.contexts.update()

​Deleting Contexts

​context.delete()

​studio.contexts.delete()

​Context Properties

​Adding Contexts to Agents

​At Creation

​After Creation

​Multiple Contexts

​Use Cases

​Company Knowledge Base

​User Personalization

​Dynamic Pricing

​Regulatory Compliance

​Best Practices

​Structured Content

​Keep Values Focused

​Regular Updates

​Naming Conventions

Quick Start

Creating Contexts

studio.create_context()

Example

Getting Contexts

studio.get_context()

studio.list_contexts()

Updating Contexts

context.update()

studio.contexts.update()

Deleting Contexts

context.delete()

studio.contexts.delete()

Context Properties

Adding Contexts to Agents

At Creation

After Creation

Multiple Contexts

Use Cases

Company Knowledge Base

User Personalization

Dynamic Pricing

Regulatory Compliance

Best Practices

Structured Content

Keep Values Focused

Regular Updates

Naming Conventions