Octomind Integration

AVELIN API is compatible with Octomind — a session-based AI development assistant with MCP tool execution and persistent session state.

Octomind treats your development session as a first-class concept. It remembers your project context, file history, test results, and conversation state across interactions — not just within a single prompt, but across your entire working session. The killer feature is MCP (Model Context Protocol) tool execution within that session context: when Octomind runs a tool, it does so with full awareness of what happened before. Ran tests that failed? Octomind remembers which ones and why. Edited a file three messages ago? It knows the current state. This persistent session awareness eliminates the "repeat yourself every prompt" problem that plagues stateless coding assistants.

Why AVELIN + Octomind? Access AVELIN's frontier coding models with 1M-token context windows, automatic failover, and ~100 tps throughput through a single OpenAI-compatible endpoint.


Quick Setup

Step 1: Get your AVELIN API key

Sign up at avelin.ai and generate an API key. It will look like sk-ave...xxxx.

Step 2: Install Octomind

Refer to Octomind documentation for installation instructions.

Step 3: Configure AVELIN

Set AVELIN as your LLM provider. Most tools support OpenAI-compatible endpoints via environment variables or config files:

export OPENAI_API_BASE=https://api.avelin.ai/v1
export OPENAI_API_KEY=sk-avelin-YOUR_KEY

Common config file pattern:

provider: openai
api_base: https://api.avelin.ai/v1
api_key: sk-ave...xxxx
model: avelin-coding-pro

Step 4: Select your model


Primary: avelin-coding-pro

Featureavelin-coding-proWhy it matters
Context window1M tokensFull codebase awareness without truncation
Max output65K tokensLarge multi-file diffs and refactors
Throughput~100 tokens/sec2x faster — tighter edit loops
ReasoningDeep step-by-stepUnderstands cross-file dependencies
Tool callingFirst-classReliable structured edits

Alternatives

ModelWhen to use
avelin-coding-fastLighter tasks, quick questions — lower cost
avelin-coding-ultraSystem design, architecture reviews
avelin-fastQuick lookups, simple fixes — lowest cost, fastest response
avelin-agentic-ultraComplex multi-step agent workflows

Why AVELIN for Octomind?

  • 1M context windows: Large codebases fit without aggressive exclusions
  • Prompt caching: ~80% reduction on repeated system prompts and repo-maps
  • Automatic failover: Coding sessions keep running if a provider is down
  • Model diversity: Multiple frontier models through one API

Troubleshooting

IssueSolution
"Model not found"Prefix model with openai/ if required
"API key invalid"Check key starts with sk-ave and base URL is https://api.avelin.ai/v1
Slow responsesTry avelin-fast for simpler tasks
Context overflowReduce context or switch to avelin-coding-pro (1M)