feat: add OrcaRouter as a named OpenAI-compatible provider - #411
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XiaoHuo888-hue wants to merge 1 commit into
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feat: add OrcaRouter as a named OpenAI-compatible provider#411XiaoHuo888-hue wants to merge 1 commit into
XiaoHuo888-hue wants to merge 1 commit into
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Add an orcarouter entry to providers.json, mirroring the existing gemini/anthropic config entries. OrcaRouter is an OpenAI-compatible chat gateway at https://api.orcarouter.ai/v1, so it works through the same OpenAICompatibleProvider with zero Python changes. - providers.json: orcarouter provider (base_url, ORCAROUTER_API_KEY, json_object structured output) with the orcarouter/auto, fusion, fusion-flash, and fusion-mini gateway models - .env.example: ORCAROUTER_API_KEY - README.md: document the OrcaRouter backend under Provider details Verified live with a real key through initialize_llm_provider(): orcarouter/auto returns parseable JSON with the repo's json_object response_format translation. Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: XiaoHuo888-hue <jinhao.song@myflashcloud.com>
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What
Adds OrcaRouter as a named OpenAI-compatible provider in
providers.json, mirroring the existinggemini/anthropicconfig entries. Since the repo's provider layer is config-driven (oneOpenAICompatibleProviderpointed at a configurablebase_url), this is a pure configuration + docs change — zero Python edits.Changes
providers.json— neworcarouterprovider:base_url:https://api.orcarouter.ai/v1api_key_env:ORCAROUTER_API_KEYstructured_output:json_object(verified against the live API)orcarouter/auto(smart routing),orcarouter/fusion,orcarouter/fusion-flash,orcarouter/fusion-mini.env.example— documentORCAROUTER_API_KEYand theorcarouter/*model examples.README.md— document OrcaRouter under Provider details and in the env-var table.It also runs gateway-level, zero-trust security for AI agents on the same endpoint — screening every prompt/response and governing every tool call on a default-deny basis, with no application code changes.
Verification
providers.jsonparses;config.py/llm_utils.py/models.pycompile clean.initialize_llm_provider("orcarouter/auto")→OpenAICompatibleProvider.chat()): all fourorcarouter/*models resolve, andorcarouter/autoreturns parseable JSON via the repo'sjson_objectresponse_formattranslation.orcarouter/auto,orcarouter/fusion,orcarouter/fusion-flash,orcarouter/fusion-miniall return HTTP 200 with valid JSON.Disclosure: I'm an engineer on the OrcaRouter team.