Cohere Sandbox
A stateful Cohere sandbox covering chat, embed, rerank, classify, summarize, and the full fine-tuning lifecycle. Test your RAG pipelines, semantic search, and classification flows without burning API credits, dealing with rate limits, or waiting for fine-tuning jobs to actually train.
Test Scenarios
Run real RAG pipeline calls, classification flows, and fine-tuning state transitions without ever calling Cohere's real API.
Chat Completion
POST /v2/chat with Command R+ — predictable response shape
Embed Documents
POST /v2/embed returns deterministic vector dimensions
Rerank Search
POST /v2/rerank scores documents by relevance
Classify Text
POST /v1/classify with few-shot examples
Summarize
POST /v1/summarize for long-document compression
Fine-tune Lifecycle
queued → training → ready or failed state machine
Connector Setup
Create connector, list, toggle active state
Dataset Validation
validating → ready or failed for upload flows
Model Listing
GET /v1/models returns command, embed, rerank model IDs
Pre-seeded Resources
Every Cohere sandbox starts with realistic data so you can hit any endpoint immediately.
How It Works
- 1
Open the portal
A stateful Cohere environment is provisioned in under 2 seconds — no signup, no API key.
- 2
Point your client at the sandbox URL
Replace api.cohere.ai with the sandbox base URL. Use the sandbox bearer token in place of CO_API_KEY.
- 3
Test chat, embed, rerank, classify
Every endpoint returns a structurally valid Cohere response so your parser logic can be tested without burning real credits.
- 4
Test fine-tuning lifecycle
Fine-tune jobs walk through queued → training → ready (or failed) without actually training a model.
Why a Cohere sandbox?
LLM API testing has a unique problem: every request costs money, every response is non-deterministic, and the slowest path (fine-tuning) takes minutes or hours to even report a status change. None of that is what you want when you're testing your integration code.
FetchSandbox runs a fully stateful Cohere mock from Cohere's public OpenAPI spec. All 41 endpoints respond with structurally valid payloads. Fine-tuning jobs walk through state transitions instantly. Connectors, datasets, and embed jobs all behave like the real API — without the cost or the wait.
Use real Cohere for actual model output. Use FetchSandbox for parser tests, retry logic, error handling, fine-tuning lifecycle assertions, and CI integration tests.
FAQ
Does it call the real Cohere API?
No. FetchSandbox runs a fully local mock. No API calls leave your environment, no credits are burned, no rate limits apply.
Are responses real LLM output?
No — they are structurally valid Cohere response shapes. You can test your parser, error handling, and integration logic. For actual model output, use the real Cohere API.
Does it support fine-tuning?
Yes. Fine-tune jobs walk through queued → training → ready (or failed) state transitions without actually training a model. Useful for testing job-status polling and webhook-driven workflows.
Which Cohere endpoints are covered?
All 41 endpoints in Cohere's public OpenAPI spec — chat (v1 and v2), embed, rerank, classify, summarize, generate, datasets, connectors, fine-tuning, and models.
Can I use this in CI?
Yes. Spin up a sandbox via the API, run your integration tests against it, tear it down. No credit cost, no flaky LLM output, no shared state.
Ready to test your Cohere integration?
Free tier — 3 sandboxes, 10,000 requests/month. No credit card required.
Open Cohere Portal