9 Commits
Author SHA1 Message Date
m1saka 2517b4f730 Add OpenAI Responses API (/v1/responses) endpoint
Translate Responses API requests (input→messages, instructions→system,
max_output_tokens→max_tokens, text.format→response_format, flat tools→nested
{function:{…}}) to upstream chat/completions, then convert responses back to
Responses format (streaming SSE event lifecycle + non-streaming JSON).

Verified against OpenAI migration guide and Python SDK Response model:
- Echo back required fields parallel_tool_calls/tool_choice/tools
- Include content:[] in reasoning items, logprobs:[] in output_text parts
- Support function_call/function_call_output multi-turn input items
- Map usage fields prompt_tokens→input_tokens, completion_tokens→output_tokens
2026-08-20 10:02:11 +08:00
m1saka c8938cb514 Add available-models admin tab with live model list and latency probing
build / build (push) Successful in 2m29s
2026-08-19 20:23:21 +08:00
m1saka fa9640d919 Add token usage stats and consolidate credentials in SQLite
build / build (push) Successful in 2m34s
- New internal/stats (types) and internal/store (SQLite owner: requests + credentials tables, WAL); store implements stats.Recorder.
- Stream (SSE tee) and non-stream chat paths parse upstream usage incl. cached_tokens and record per-request; add /api/stats, /api/stats/reset, /admin/stats HTML with cache hit rate.
- Drop credentials.json: remove auth file I/O and ZHANLU_CREDENTIALS_FILE; credential precedence is env vars > db row.
2026-08-19 15:52:00 +08:00
m1saka df19ced538 Drop ZHANLU_MODELS and ZHANLU_DEFAULT_MODEL config
build / build (push) Successful in 1m5s
Model list is always fetched live from the gateway model-info endpoint, so the
static fallback list was dead config with stale IDs (GLM-4.7 vs zhanlu/glm-4.7).
Default to zhanlu/auto when the request omits model.
2026-08-05 15:06:38 +08:00
m1saka 7d8a5b6f74 Update proxy to Zhanlu v1.4.2 provider flow
The 1.4.2 extension replaced the old signed/encrypted chat gateway with an
OpenAI-compatible aigateway. Align the proxy with the new flow:

- Use ecloud.10086.cn login/model base URLs, zhanlu_ide plugin headers and
  v1.4.2 plugin version
- Provision the model API key via SM2-signed get-or-create after v1/login
  profile fetch; store api_key/model_base_url/email in credentials
- Chat via Bearer apiKey against {modelBaseUrl}/chat/completions with plain
  OpenAI SSE passthrough; fetch /v1/models from the gateway model-info endpoint
- Force HTTP/1.1 upstream (gateway drops HTTP/2 ALPN negotiation with EOF)
- Drop obsolete AES body encryption, model name mapping and vscode headers
2026-08-05 14:55:28 +08:00
m1saka c3af3caa5b Add admin login session flow
build / build (push) Successful in 58s
2026-07-09 00:22:27 +08:00
m1saka b146ccb7ac Document systemd service setup
build / build (push) Successful in 51s
2026-07-08 09:24:56 +08:00
m1saka e26579c63c Increase upstream timeout default
build / build (push) Successful in 52s
2026-07-08 09:19:01 +08:00
M1saka d4dd3a0f1b Initial zhanlu OpenAI proxy
build / build (push) Successful in 53s
2026-07-08 09:13:45 +08:00