Mistral AI

The Mistral AI integration provides access to Mistral’s powerful language models within your QuickBot workflows. This block offers chat completion capabilities, streaming responses, and function calling with dynamic model selection.

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Configuration Options

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API Setup

To use the Mistral AI block, configure your API credentials:

1. Account Creation: Create your Mistral account at https://console.mistral.ai
2. API Key: Generate an API key from the Mistral API Keys page
3. Authentication: The API key is securely encrypted and stored within QuickBot
4. Subscription: A paid subscription is required for full access to models and higher rate limits

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Model Selection

The Mistral AI block dynamically fetches available models from your account:

• Dynamic Loading: Models are fetched directly from the Mistral API based on your subscription
• Auto-Update: New models become available automatically as Mistral releases them
• Subscription-Based: Available models depend on your Mistral subscription tier

Common Mistral Models:

• Mistral Large - Most capable model for complex reasoning tasks
• Mistral Medium - Balanced performance for general use cases
• Mistral Small - Efficient model for simple tasks
• Mixtral 8x7B - Mixture of experts model for diverse capabilities
• Codestral - Specialized for code generation and analysis

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Features

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Chat Completion

The Create chat completion action enables you to:

• Send user queries to Mistral AI models
• Receive high-quality responses
• Support multiple message roles (system, user, assistant)
• Handle conversation context and history
• Stream responses in real-time

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Message Types

System Messages: Define the AI’s behavior and context

• Set instructions for the AI assistant
• Establish role and personality
• Provide consistent formatting guidelines

User Messages: Input from users or your bot logic

• Questions and requests
• Context and background information
• Conversation continuity

Assistant Messages: Previous AI responses

• Maintain conversation history
• Reference past interactions
• Build context for follow-up queries

Dialogue Messages: Convenient message type for passing conversation history

• Reference saved dialogue variables
• Choose starting role (user or assistant)
• Maintain conversation flow seamlessly

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Response Handling

• Variable Mapping: Save Mistral’s responses to QuickBot variables
• Message Content: Extract and store generated text
• Streaming Support: Real-time response delivery
• Error Handling: Robust error recovery and reporting

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Advanced Features

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Function Calling (Tools)

Mistral AI supports function calling capabilities:

• Tool Integration: Connect Mistral with external functions and APIs
• Maximum Roundtrips: Up to 10 tool call roundtrips per conversation
• Complex Workflows: Chain multiple tool calls for sophisticated tasks
• Dynamic Execution: Mistral can decide which tools to use and when

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Streaming Responses

• Real-time Output: Stream responses as they’re generated for better user experience
• Tool Call Streaming: Handle function calls seamlessly during streaming
• Error Recovery: Proper error handling with HTTP status codes
• Performance Optimization: Reduced perceived latency

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Settings

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Temperature Control

• Range: Adjustable temperature for response creativity
• Default: Balanced setting for most use cases
• Optimization: Lower values for focused responses, higher for creative tasks

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Message Formatting

• Role Support: System, user, and assistant message roles
• Context Management: Maintain conversation history effectively
• Variable Integration: Dynamic content through QuickBot variables

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Best Practices

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Model Selection

For Complex Reasoning: Use Mistral Large

• Advanced problem solving
• Complex analysis and synthesis
• Detailed explanations and reasoning

For Code Tasks: Use Codestral

• Code generation and completion
• Bug detection and fixing
• Technical documentation

For General Use: Use Mistral Medium

• Everyday conversation
• Content creation
• General knowledge tasks

For Quick Tasks: Use Mistral Small

• Simple Q&A
• Basic text processing
• Fast response requirements

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Prompt Engineering

Clear Instructions:

• Provide specific, actionable prompts
• Use examples to illustrate desired output
• Define response format and structure

System Message Usage:

• Set clear role definitions
• Establish consistent behavior patterns
• Provide context and constraints

Context Management:

• Use dialogue history for conversation continuity
• Keep prompts focused and relevant
• Avoid information overload

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Cost Optimization

Model Efficiency:

• Choose appropriate model size for task complexity
• Use smaller models for simple tasks
• Monitor usage and costs regularly

Request Optimization:

• Batch similar requests when possible
• Use caching for repeated queries
• Implement response deduplication

Subscription Management:

• Choose appropriate tier for usage volume
• Monitor rate limits and quotas
• Scale subscription based on needs

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Troubleshooting

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Authentication Issues

HTTP 401 Errors:

• API Key Propagation: If you get HTTP 401 while loading models, your API key may not be propagated on Mistral’s side yet. Wait a few minutes and try again.
• Invalid API Key: Verify your API key is correctly copied from the Mistral console
• Account Status: Ensure your Mistral account is active and in good standing

Model Loading Problems:

• Confirm API key has proper permissions
• Check if subscription includes model access
• Verify network connectivity to Mistral API

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Rate Limiting and Quotas

Rate Limit Errors (HTTP 429):

• Subscription Required: Add a subscription to your Mistral account via the billing section and click the Subscribe button
• Quota Exceeded: Upgrade your subscription tier for higher limits
• Request Spacing: Implement delays between requests if hitting limits

Usage Management:

• Monitor current usage in Mistral console
• Set up billing alerts for cost control
• Implement exponential backoff for retries

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Model and Response Issues

Model Not Available:

• Check if model exists in your subscription tier
• Verify model name is correctly specified
• Try refreshing the model list in QuickBot

Empty or Poor Responses:

• Review prompt clarity and specificity
• Check temperature settings
• Ensure adequate context is provided
• Verify message formatting is correct

Streaming Problems:

• Check network stability
• Monitor for timeout errors
• Implement proper error handling
• Verify streaming is supported for your model

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Function Calling Issues

Tool Call Failures:

• Verify tool definitions are properly formatted
• Check tool execution permissions and access
• Monitor roundtrip limits (maximum 10)
• Debug tool response validation

Integration Problems:

• Ensure external APIs are accessible
• Validate tool parameter formats
• Check authentication for external services
• Test tools independently before integration

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Performance Optimization

Response Time Issues:

• Choose appropriate model size for task
• Optimize prompt length and complexity
• Use streaming for longer responses
• Consider caching for repeated queries

Error Handling:

• Implement retry logic with exponential backoff
• Log detailed error information for debugging
• Provide user-friendly error messages
• Set up monitoring and alerting

API Connectivity:

• Verify DNS resolution for api.mistral.ai
• Check firewall and proxy settings
• Monitor API status and availability
• Implement fallback error responses

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Subscription and Billing

Payment Issues:

• Ensure payment method is valid and current
• Check for failed payment notifications
• Update billing information if needed
• Contact Mistral support for billing disputes

Plan Limitations:

• Review current subscription tier limits
• Upgrade plan for higher usage needs
• Monitor usage against plan quotas
• Consider usage-based vs. fixed pricing

Model Access:

• Verify subscription includes desired models
• Check model availability by region
• Understand model-specific limitations
• Plan upgrades for advanced model access