Retires the Moonshot/Kimi subscription in favour of the already-paid ChatGPT plan. Both CLI wrappers now run `codex exec`; the kimi-agent container is gone. adolf-llm + hindsight-llm: - runKimi -> runCodex (`codex exec --json --skip-git-repo-check`), resume via `codex exec resume <thread_id>`. - MCP moves from a per-session .mcp.json (a workaround for Kimi having no --mcp-config-file flag) to a $CODEX_HOME/config.toml generated once at startup from shared-mcp.json. Field translation is load-bearing: bearerTokenEnvVar -> bearer_token_env_var, enabledTools -> enabled_tools. - approval_policy="never" + sandbox_mode required, or unattended turns block on an approval prompt nobody can answer. kimi-agent removed. It was the ONLY large-tier deployment behind LiteLLM, so deleting it outright would have silently degraded every large-tier request to the local 4B model via the existing fallbacks. tier-large, the auto_router complex-reasoning route and their fallbacks now point at the codex-backed adolf-llm wrapper (model_name: codex-agent). Three environment blockers fixed along the way: - OpenAI geo-blocks this host (403 unsupported_country_region_territory). Both containers now egress via the host xray proxy, with NO_PROXY keeping MCP and *.alogins.net traffic off the tunnel. - node:22-slim ships no system CA store; the Rust codex binary validates TLS against it, so every HTTPS call failed with a generic transport error while Node's own fetch worked. ca-certificates added to both images. - `codex exec resume` rejects -C/--cd (plain `codex exec` accepts it), which broke follow-up turns while first turns succeeded. Known regression: Kimi's managed-usage API has no Codex equivalent, so the /usage route returns 501 and there is no quota probe for the codex model. The two quota plugins degrade quietly to no output. Also: stop tracking cognee.env (live LLM + JWT secrets) and gitignore it. The secrets remain in earlier history and should be rotated. Verified live: plain turn, SSE streaming, session resume, MCP tool call, bearer-token MCP call, and completions through both LiteLLM routes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014Y5QPagv4iun1ghpwM96Ff
70 lines
2.8 KiB
JSON
70 lines
2.8 KiB
JSON
{
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"id": "cognee-memory",
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"name": "Cognee Memory",
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"description": "Cross-session memory via Cognee. Injects LLM-free graph context before each reply (before_prompt_build), persists each turn after it ends (agent_end), and cognifies asynchronously on a background sweep (cognee-llm/Kimi). Modeled 1:1 on the Honcho plugin's touchpoints.",
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"activation": {
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"onStartup": true
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},
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"contracts": {
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"tools": ["cognee_recall"]
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},
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"configSchema": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"enabled": { "type": "boolean" },
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"cogneeUrl": { "type": "string" },
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"agents": { "type": "array", "items": { "type": "string" } },
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"topK": { "type": "integer", "minimum": 1, "maximum": 50 },
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"maxContextChars": { "type": "integer", "minimum": 200, "maximum": 20000 },
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"recallTimeoutMs": { "type": "integer", "minimum": 500, "maximum": 30000 },
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"persistTimeoutMs": { "type": "integer", "minimum": 500, "maximum": 60000 },
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"sweepIntervalMs": { "type": "integer", "minimum": 30000, "maximum": 86400000 },
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"minTextChars": { "type": "integer", "minimum": 1, "maximum": 200 },
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"injectHeader": { "type": "string" }
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}
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},
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"uiHints": {
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"enabled": {
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"label": "Cognee Memory",
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"help": "Enable cross-session Cognee memory (recall inject + turn persist + async cognify sweep)."
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},
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"cogneeUrl": {
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"label": "Cognee URL",
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"help": "Base URL of the cognee FastAPI service (default http://cognee:8000)."
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},
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"agents": {
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"label": "Target Agents",
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"help": "Agent ids that use Cognee memory. Empty means all agents."
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},
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"topK": {
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"label": "Recall Top-K",
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"help": "Number of graph triplet seeds to retrieve per recall (before_prompt_build)."
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},
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"maxContextChars": {
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"label": "Max Injected Context Chars",
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"help": "Hard cap on the size of the injected graph-context block."
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},
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"recallTimeoutMs": {
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"label": "Recall Timeout (ms)",
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"help": "Budget for the LLM-free graph recall on the reply path. On timeout the turn proceeds with no injected memory."
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},
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"persistTimeoutMs": {
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"label": "Persist Timeout (ms)",
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"help": "Budget for the post-turn raw add to cognee (off the reply path)."
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},
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"sweepIntervalMs": {
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"label": "Cognify Sweep Interval (ms)",
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"help": "Freshness dial: how often the background sweep cognifies datasets that received new turns. Cognify runs on cognee-llm (Kimi), off the reply path. Lower = fresher cross-session recall of recent facts, more Kimi calls."
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},
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"minTextChars": {
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"label": "Minimum Text Chars",
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"help": "Skip recall/persist for text shorter than this."
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},
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"injectHeader": {
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"label": "Inject Header",
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"help": "Header line prepended to the injected graph-context block."
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}
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}
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}
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