ChatAnywhere Multi-Model API
Access GPT, DeepSeek, Claude, Gemini, and other models through unified API endpoints.
The README identifies relay hosts, OpenAI's stated 30-day retention, free and paid restrictions, while the LICENSE names a corporate copyright holder, giving some attribution evidence. Deductions apply because no code, architecture, permission inventory, or security controls are supplied; third-party providers and complete data routes are unspecified, privacy promises are unsupported, and IP-and-key rate limiting implies that these identifiers are at least processed. Key protection, dependency security, action confirmation, and rollback mechanisms are undocumented.
A status page is provided, and the README explicitly warns that third-party models may be slow, error, or time out and that lists can become stale, which adequately addresses some availability expectations. Deductions apply because there is no implementation, configuration, or test evidence; failure guidance is largely limited to checking status, without error codes, retry behavior, or fallback policy. Some rows combine supported labels with delisting or unavailability language, weakening consistency.
The documentation identifies personal, educational, and nonprofit research audiences; distinguishes free and paid scenarios, domestic and international hosts, protocols, and usage limits; and warns about commercial and public-facing use. Deductions apply because there are no Agent trigger rules, task routing semantics, or evidence of automatic capability selection. Environment fit rests mainly on an asserted OpenAI-compatible API and external tutorials, without a complete platform or configuration matrix.
The README has recognizable quick-start, features, cautions, pricing, model-list, and usage sections, with reasonably clear onboarding and limitations. The complete MIT text justifies full credit for license. Deductions apply because inline request examples and FAQ coverage are sparse, while aliases, redirects, dynamic availability, and changing prices reduce naming stability. No releases, changelog, or explicit maintenance commitment are supplied; responsibility is only partly indicated by the copyright holder, QQ group, and Issues channel.
An OpenAI-style unified interface, regional endpoints, broad model coverage, and detailed quotas and pricing can provide usable consolidation value to compatible clients. Deductions apply because no sample responses, implementation, or tests substantiate compatibility or output quality. Pricing and supply are mutable, and some routes use third-party or reverse-engineered channels with acknowledged instability, so the cost-benefit case is useful but not thoroughly verified.
The README explicitly records several limits, third-party sourcing notes, price variability, and operational risks, while the LICENSE independently establishes licensing and a copyright name. Deductions apply because privacy, compatibility, performance, model capability, and discount claims mostly originate from the same operator-authored README, with no code, tests, audit, or independent source corroboration. Marketing judgments and directly verifiable facts are not systematically separated.
- All prompts and model outputs traverse the project's relay endpoints; do not submit confidential, personal, or regulated data while the privacy promises lack implementation or audit evidence.
- The service rate-limits by IP and API key while also claiming not to disclose caller identity; the static material does not explain identifier handling, retention, or access controls.
- Some models are supplied through unnamed third parties or reverse-engineered channels, creating stability, compliance, continuity, and upstream-terms risks.
- Free quotas, request limits, model availability, and prices can change; verify current terms, billing, and status separately before production use or payment.
- No implementation code, dependency inventory, tests, or security audit is supplied, so API compatibility, privacy enforcement, and abuse controls cannot be verified from this evidence.
What does this agent do, and when should you use it?
This repository describes a hosted large-model API relay rather than a locally executed autonomous agent. It exposes an OpenAI-compatible interface and additionally supports Anthropic's official protocol for Claude models. After obtaining an API key, clients replace the original API host with a domestic or international ChatAnywhere endpoint and select GPT, DeepSeek, Claude, Gemini, Qwen, Kimi, MiniMax, GLM, or another listed model by name. Outputs depend on the selected model and can include generated text, images, speech, transcripts, or embeddings. The supplied material does not document a self-hosted server, client SDK, or local deployment package; free access is restricted to personal non-commercial, educational, and nonprofit research use, while paid access offers a broader model catalog and different service limits.
A user registers at chatanywhere.tech, binds a GitHub account, and obtains an API key for relayed requests. OpenAI-compatible software sends requests to https://api.chatanywhere.tech for the lower-latency domestic route or https://api.chatanywhere.org for use outside China, choosing the backend through the model name. Claude models may also be addressed with the official Anthropic protocol. The hosted service forwards each API request through the relevant model supply channel and returns text, reasoning, image, speech, transcription, or embedding output as supported by that model. The repository points to API documentation, software tutorials, and a status page, but the supplied material does not expose an auditable server implementation or routing code.
- An individual developer with an OpenAI-compatible application wants to test GPT, DeepSeek, or another supported model by changing the API host.
- A developer in mainland China needs a dynamically accelerated model endpoint that can be reached without a proxy.
- A student or nonprofit researcher wants limited daily model access under the free-use policy.
- A team wants to switch among GPT, DeepSeek, Gemini, Qwen, Kimi, MiniMax, and GLM while retaining a common OpenAI-style protocol.
- A developer using the Anthropic API format needs access to one of the listed Claude models.
- A paid API user needs listed endpoints for image generation, speech synthesis, transcription, or text embeddings.
What are this agent's strengths and limitations?
- One hosted service covers model families from GPT, DeepSeek, Claude, Gemini, Qwen, Kimi, MiniMax, and GLM.
- Most models share an OpenAI-compatible interface, so compatible clients can generally migrate by changing the host and model name.
- Separate domestic and international endpoints are documented, with dynamic acceleration and no proxy requirement for the domestic route.
- The free tier refreshes 10,000 points daily for constrained personal, educational, and nonprofit research use.
- The paid catalog extends beyond text models to image generation, text-to-speech, transcription, and embedding endpoints.
- Free keys cannot be used commercially or for large-scale training of commercial models, and requests are capped at 200 per day per IP and key, calculated separately for GPT and embeddings.
- The free tier imposes additional per-model daily call limits, and input tokens are restricted after the 10,000-point allowance is exhausted.
- This is a third-party hosted relay; several listed models use third-party suppliers and are explicitly noted as potentially slower or more error-prone.
- No self-hosted deployment path or server implementation is documented, leaving adopters dependent on ChatAnywhere's network service, account system, and availability.
- The free GPT-5-series service is explicitly described as having weaker reasoning; stronger reasoning requires a paid key.
- Prices, available models, and upstream support may change, so production users must keep checking the live catalog.
How do you install or deploy this agent?
No local installation is documented. The source describes a hosted API and provides no self-hosting, Docker, package installation, or runtime setup procedure. For free access, register and bind a GitHub account at https://chatanywhere.tech/ to obtain an API key; the supplied material does not show the exact key-management screens.
How do you use this agent?
- Register at https://chatanywhere.tech/ and bind a GitHub account to obtain an API key. 2. In software or code that supports an editable OpenAI API endpoint, replace the official host with https://api.chatanywhere.tech for the preferred mainland-China route or https://api.chatanywhere.org for international use. 3. Configure the ChatAnywhere API key and set model to a listed model identifier; most providers use the unified OpenAI-style protocol, while Claude also supports the official Anthropic protocol. 4. Send the request and consume the model response. If a request fails or returns no response, check https://status.chatanywhere.tech/. The supplied material contains no copyable curl or SDK request, authentication-header example, or complete request body, so a verified first command-line invocation cannot be provided.
How does this agent compare with similar options?
Compared with calling api.openai.com directly, ChatAnywhere requires clients to use its relay host and allows multiple vendors' models to be selected through a common protocol; its domestic endpoint is designed for access without a proxy. The free service has usage-purpose, point, per-model, and per-IP/key limits. The paid service claims pricing as low as roughly 10–20% of official rates and removes the free tier's 200-request daily cap, but some models rely on third-party supply channels that may be less stable than non-CA variants or direct official access.