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A coding harness manages model calls, tools and session context. To use ApiClo, configure the specific client's protocol, URL, key and model ID. The directory below covers the quick-start clients and additional documented integrations, including experimental and conditional options. Every link states its own setup and limitations.
Connect DeepSeek Harness to ApiClo through Settings → Models → Add model provider → Custom model API. Choose OpenAI Chat Completions and https://apiclo.com/v1. Harness is the client; your selected ApiClo model and tariff determine model usage. This setup does not connect the DeepSeek chat website's search service.
Use a custom OpenAI-compatible provider to connect OpenCode to ApiClo. Set the endpoint to https://apiclo.com/v1 and keep the key in APICLO_API_KEY. OpenCode v1 and v2 use different configuration keys; check opencode --version before copying a configuration.
Oh My Pi uses ~/.omp/agent/models.yml for a custom ApiClo provider. Set baseUrl to https://apiclo.com/v1, api to openai-completions and apiKey to the environment variable name APICLO_API_KEY. OMP and Pi have different configuration files and key syntax.
Connect the Pi coding agent to ApiClo in ~/.pi/agent/models.json. Use baseUrl https://apiclo.com/v1, api openai-completions and apiKey $APICLO_API_KEY. Open /model to reload the file and choose the custom provider. This guide concerns the Pi coding agent, not another product named Pi.
Kimi Code can configure an OpenAI-compatible provider with an ApiClo /v1 endpoint. ApiClo's Kimi Code integration is still undergoing compatibility testing: treat this as a setup candidate, not a validated autonomous workflow. Kimi Code credentials and the Kimi chat/search service are separate.
Use ApiClo with Orca by configuring the coding agent that Orca launches: Codex CLI, Claude Code, OpenCode or Pi. Orca orchestrates agent sessions and worktrees; the child agent owns its API endpoint, credentials and model configuration.
Add ApiClo to current Crush using an openai-compat provider in the global crushrc file. Use https://apiclo.com/v1 and a key from APICLO_API_KEY. Current Crush configuration uses its built-in Bash commands; older JSON examples belong to a different configuration format.
Goose supports custom OpenAI-compatible providers for ApiClo. Configure the provider in Settings → Models or through goose configure, save the ApiClo key using its credential flow, and add the exact model IDs. Verify whether your provider screen expects a full API URL or a host plus path.
Responses API; user-level config.toml and env_key.
Anthropic Messages; root URL and ANTHROPIC_AUTH_TOKEN.
Extension provider settings; /v1 and exact model IDs.
Custom API setup; check Cursor-specific model IDs and feature restrictions.
Connect Trae to ApiClo through Settings → Models → Add Model → Custom Config when that option is available in your version and account. Choose the API format before entering the URL: OpenAI-compatible Chat Completions and Anthropic Messages use different request paths.
config.yaml: provider, apiBase, apiKey and model roles.
Custom Endpoint model configuration; tool and vision capabilities need checking.
Separate OpenAI and Anthropic provider modes; use the matching URL and model input types.
Use an OpenAI-compatible client mode with OPENAI_* variables where supported.
OpenAI-compatible endpoint and openai/ model selector prefix.
Self-hosted chat UI; configure the server's API connection and credentials.
Managed workspace; hosting and model-token usage are separate charges.
Conditional: direct ApiClo setup requires a build that accepts a compatible custom endpoint.
Local routing option; check the currently available build and client requirements.
OpenAI-compatible Base URL is usually https://apiclo.com/v1. Claude Code uses https://apiclo.com because it adds /v1/messages. A field asking for a full request URL needs the actual endpoint path.
Test text, then tools and images independently. Inspect Logs for the exact model and token use before parallel or unattended tasks.
Read input, output, cache-read and cache-write rates. The 40/40/20 example assumes 1M total tokens: 0.4 × input + 0.4 × read + 0.2 × output; initial writes are excluded. Use actual Logs for your own average.
Follow the selected guide and compare the successful request with ApiClo Logs. Documentation availability is not a claim that every version, model or feature has passed integration tests.
ApiClo is independent of the listed clients and AI providers. Kimi Code remains under testing; Orca uses a child agent; Gemini CLI needs compatible custom-endpoint support. API balance, client subscriptions and managed hosting are separate. No cache-hit rate or universally lowest price is guaranteed.
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