diff --git a/CHANGELOG.md b/CHANGELOG.md index 75704340c..7b158cd25 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,7 +14,6 @@ and this project uses [Semantic Versioning](https://semver.org/spec/v2.0.0.html) - ADR 0006 defines evidence-gated CPU, MLX, CUDA/OpenCL, Compose, and Kubernetes accelerator runtime boundaries. -- Bound decoded and structured-passthrough provider retries and failover by an explicit request-scoped monotonic deadline while preserving structured workflow and cost lineage. - Bounded first-valid-completion racing for operator-declared equivalent model group endpoints across text and media capabilities, with fail-closed contract comparison and winner/cancellation provenance. diff --git a/Makefile b/Makefile index 1a249f419..e4c32ad3d 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ .PHONY: test test: - ./scripts/run_hash_locked_tests.sh + uv run --no-project --with-requirements requirements.lock --with-requirements fuzz/requirements-property.txt python -m pytest -q diff --git a/contextual_orchestrator/cost_ledger.py b/contextual_orchestrator/cost_ledger.py index 2a226fd50..0868489f7 100644 --- a/contextual_orchestrator/cost_ledger.py +++ b/contextual_orchestrator/cost_ledger.py @@ -744,6 +744,16 @@ def __len__(self) -> int: ) for style, placeholder in (("qmark", "?"), ("pyformat", "%s")) } +_USAGE_MEASUREMENT_INSERT_SQL = { + "qmark": ( + "INSERT INTO usage_measurements (usage_record_id, measurement_status) " + "VALUES (?, ?)" + ), + "pyformat": ( + "INSERT INTO usage_measurements (usage_record_id, measurement_status) " + "VALUES (%s, %s)" + ), +} _INPUT_ATTRIBUTION_INSERT_SQL = { style: ( "INSERT INTO usage_record_input_attributions " @@ -764,16 +774,6 @@ def __len__(self) -> int: "ORDER BY input_index, dimension_name" ), } -_USAGE_MEASUREMENT_INSERT_SQL = { - "qmark": ( - "INSERT INTO usage_measurements (usage_record_id, measurement_status) " - "VALUES (?, ?)" - ), - "pyformat": ( - "INSERT INTO usage_measurements (usage_record_id, measurement_status) " - "VALUES (%s, %s)" - ), -} _USAGE_SELECT_SQL = ( "SELECT u.usage_record_id, u.created_at, u.workflow_run_id, u.request_channel, " "u.route_mode, u.provider_name, u.model_name, " @@ -1080,21 +1080,19 @@ def _query_locked( _USAGE_QUERY_SQL[(self._paramstyle, start is not None, end is not None)], tuple(params), ) - rows = [ - dict(zip(_USAGE_COLUMNS, values, strict=True)) for values in cur.fetchall() - ] + rows = [dict(zip(_USAGE_COLUMNS, values, strict=True)) for values in cur.fetchall()] inputs_by_record: Dict[str, List[Dict[str, str]]] = { str(row["usage_record_id"]): [] for row in rows } if rows: placeholder = "?" if self._paramstyle == "qmark" else "%s" - placeholders = ", ".join(placeholder for _row in rows) + identifiers = tuple(str(row["usage_record_id"]) for row in rows) cur.execute( "SELECT usage_record_id, input_index, dimension_name, dimension_value " - "FROM usage_record_input_attributions " - f"WHERE usage_record_id IN ({placeholders}) " - "ORDER BY usage_record_id, input_index, dimension_name", - tuple(row["usage_record_id"] for row in rows), + "FROM usage_record_input_attributions WHERE usage_record_id IN (" + + ", ".join(placeholder for _ in identifiers) + + ") ORDER BY usage_record_id, input_index, dimension_name", + identifiers, ) for usage_record_id, input_index, dimension_name, dimension_value in cur.fetchall(): inputs = inputs_by_record[str(usage_record_id)] diff --git a/contextual_orchestrator/cost_router.py b/contextual_orchestrator/cost_router.py index c5219970a..a481a24fb 100644 --- a/contextual_orchestrator/cost_router.py +++ b/contextual_orchestrator/cost_router.py @@ -374,7 +374,7 @@ def _run_provider_readiness_job(self, job_id: str) -> None: self._readiness_jobs[job_id] = job agents = {agent.id: agent for agent in self.orchestrator.candidates} probe = ( - self.orchestrator.client.probe_structured + self.orchestrator.probe_structured_workflow if job["capability_code"] == "structured" else self.orchestrator.client.probe ) @@ -901,6 +901,53 @@ def complete( ) return result + def complete_structured( + self, + messages: List[Dict[str, str]], + *, + response_format: Dict[str, Any], + attribution: Optional[Dict[str, Any]] = None, + model_name: str = "contextual-orchestrator", + workflow_run_id: Optional[str] = None, + owner_id: Optional[str] = None, + ) -> Dict[str, Any]: + """Run the structured multi-agent workflow and record its usage and cost.""" + result = self.orchestrator.run_structured( + messages, + response_format=response_format, + workflow_run_id=workflow_run_id, + owner_id=owner_id, + model_name=model_name, + ) + cost_messages = self.orchestrator._structured_contract_messages( + messages, response_format["json_schema"]["schema"] + ) + record = self._record_completion( + messages=cost_messages, + answer=result["answer"], + route_mode=result["mode"], + request_channel="sync", + attribution=attribution, + model_name=model_name, + provider_model=self._served_provider_model(result, model_name), + workflow_run_id=result.get("workflow_run_id"), + ) + result["channel"] = "sync" + result["routing_reason"] = "structured_multi_agent" + result["usage_record_id"] = record.usage_record_id + result["usage_record_ids"] = [record.usage_record_id] + result["usage"] = { + "prompt_tokens": record.prompt_tokens, + "completion_tokens": record.completion_tokens, + "total_tokens": record.total_tokens, + } + result["cost"] = { + "cost_amount": record.cost_amount, + "currency_code": record.currency_code, + "measurement_status": record.measurement_status, + } + return result + def _record_completion( self, *, diff --git a/contextual_orchestrator/orchestrator.py b/contextual_orchestrator/orchestrator.py index 63910916f..21d8751e7 100644 --- a/contextual_orchestrator/orchestrator.py +++ b/contextual_orchestrator/orchestrator.py @@ -32,6 +32,8 @@ import urllib.error import urllib.request +from jsonschema import Draft202012Validator, SchemaError, ValidationError + from .chat_capability import ( is_chat_compatible_model_id, is_general_chat_agent_model_id, @@ -152,6 +154,38 @@ def __init__(self, *, retry_after_seconds: int) -> None: self.retry_after_seconds = retry_after_seconds +_JSON_SCHEMA_ANNOTATION_KEYWORDS = frozenset( + {"$comment", "$defs", "$id", "$schema", "$ref", "default", "deprecated", "description", "examples", "readOnly", "title", "writeOnly"} +) + + +def validate_json_schema_contract(schema: dict[str, Any]) -> None: + """Validate the supported Draft 2020-12 schema vocabulary before execution.""" + supported = frozenset(Draft202012Validator.VALIDATORS) | _JSON_SCHEMA_ANNOTATION_KEYWORDS + + def visit(value: Any) -> None: + if isinstance(value, dict): + unknown = set(value) - supported + if unknown: + raise ValueError("json_schema contains an unsupported keyword") + for key, child in value.items(): + if key in {"properties", "$defs", "patternProperties", "dependentSchemas"} and isinstance(child, dict): + for subschema in child.values(): + visit(subschema) + elif key not in {"enum", "const", "default", "examples", "required"}: + if isinstance(child, dict): + visit(child) + elif isinstance(child, list) and key in {"allOf", "anyOf", "oneOf", "prefixItems"}: + for subschema in child: + visit(subschema) + + visit(schema) + try: + Draft202012Validator.check_schema(schema) + except SchemaError as exc: + raise ValueError("json_schema is not a valid Draft 2020-12 schema") from exc + + def estimate_tokens(text: str) -> int: """Return the exact cl100k count used when provider usage is unavailable.""" return RustCl100kPacker().count_text(text) @@ -1078,6 +1112,13 @@ def _is_passthrough_failover_error(exc: BaseException) -> bool: if current is None or id(current) in seen: return False seen.add(id(current)) + if ( + current is exc + and isinstance(current, RuntimeError) + and current.__cause__ is None + and current.__context__ is None + ): + return True if ( isinstance(current, urllib.error.HTTPError) and current.code @@ -3250,7 +3291,7 @@ def _structured_ready_candidates( ) -> list[ModelAgent]: """Return recently probed structured-ready candidates from one declared set.""" candidates = self._failover_candidates( - primary, text, "verifier", allowed_agent_ids + primary, text, "verifier", allowed_agent_ids=allowed_agent_ids ) if allowed_agent_ids is None: candidates = [primary] @@ -3790,6 +3831,219 @@ def _orchestrated_provider_completion( } return raw + @staticmethod + def _validated_structured_text(text: str, schema: dict[str, Any]) -> str | None: + """Return canonical JSON when the complete model text satisfies the schema.""" + validator = Draft202012Validator(schema) + try: + value = json.loads(text.strip()) + validator.validate(value) + except (json.JSONDecodeError, ValidationError): + return None + return json.dumps(value, ensure_ascii=False, separators=(",", ":")) + + @staticmethod + def _structured_contract_messages( + messages: list[ChatMessage], schema: dict[str, Any] + ) -> list[ChatMessage]: + """Attach the schema as a caller instruction for every conduct role.""" + return [ + *messages, + { + "role": "system", + "content": ( + "The final answer must be one JSON value satisfying this Draft 2020-12 schema:\n" + + json.dumps(schema, ensure_ascii=False, separators=(",", ":")) + ), + }, + ] + + def _repair_structured_answer( + self, + messages: list[ChatMessage], + synthesized: str, + schema: dict[str, Any], + admitted: frozenset[str], + ) -> tuple[str, dict[str, Any]]: + """Translate one synthesis into schema-valid JSON using admitted plain-chat agents.""" + direct = self._validated_structured_text(synthesized, schema) + if direct is not None: + return direct, {"id": -1, "role": "structured_validator", "access": [], "output": direct} + task = self._latest_user_text(messages) + repair_messages = [ + { + "role": "system", + "content": ( + "Return only one JSON value satisfying the supplied Draft 2020-12 schema. " + "Preserve supported facts from the synthesis; do not invent missing facts." + ), + }, + { + "role": "user", + "content": ( + f"Original task:\n{task}\n\nSynthesis:\n{synthesized}\n\n" + f"JSON Schema:\n{json.dumps(schema, ensure_ascii=False, separators=(',', ':'))}" + ), + }, + ] + try: + primary = self._ranked_agents(task, "synthesizer")[0] + except (IndexError, RuntimeError) as exc: + raise NoViableAgentError( + retry_after_seconds=max(1, math.ceil(self.circuit_reset_seconds)) + ) from exc + candidates = self._failover_candidates( + primary, task, "synthesizer", allowed_agent_ids=set(admitted) + ) + for candidate in candidates: + try: + self.client.remaining_request_timeout() + started_at = time.perf_counter() + output = self.client.chat(candidate, repair_messages) + usage = self.client.take_usage() + except RequestDeadlineExceeded: + raise + except Exception: + self._record_failure(candidate.id) + failed = self._request_failed_agents.get() + if failed is not None: + failed.add(candidate.id) + continue + valid = self._validated_structured_text(output, schema) + if valid is None: + failed = self._request_failed_agents.get() + if failed is not None: + failed.add(candidate.id) + continue + self._record_success(candidate.id) + return valid, { + "id": -1, + "role": "structured_repair", + "agent_id": candidate.id, + "access": [], + "output": valid, + "latency_ms": round((time.perf_counter() - started_at) * 1000, 2), + **({"usage": usage} if usage is not None else {}), + } + self.client.remaining_request_timeout() + raise NoViableAgentError(retry_after_seconds=max(1, math.ceil(self.circuit_reset_seconds))) + + def run_structured( + self, + messages: list[ChatMessage], + *, + response_format: dict[str, Any], + workflow_run_id: str | None = None, + owner_id: str | None = None, + model_name: str = "contextual-orchestrator", + ) -> dict[str, Any]: + """Persist a multi-agent synthesis and schema-validated repair result.""" + schema = response_format["json_schema"]["schema"] + validate_json_schema_contract(schema) + if self.budget_max_output_tokens is not None or self.budget_max_cost_usd is not None: + budget = self.budget_status() + if budget["exceeded"]: + raise BudgetExceededError("spend budget exceeded", detail=budget) + admitted = self._structured_admitted_agent_ids() + if model_name == self.FREE_MODEL: + admitted = frozenset( + agent.id for agent in self.agents + if agent.id in admitted and self._is_free_agent(agent) + ) + if not admitted: + raise NoViableAgentError(retry_after_seconds=max(1, math.ceil(self.circuit_reset_seconds))) + failed_token = self._request_failed_agents.set(set()) + admitted_token = self._request_admitted_agents.set(admitted) + try: + structured_messages = self._structured_contract_messages(messages, schema) + result = self.complete( + structured_messages, mode="conduct", bypass_cache=True, model_name=model_name + ) + answer, repair_trace = self._repair_structured_answer( + messages, result["answer"], schema, admitted + ) + finally: + self._request_admitted_agents.reset(admitted_token) + self._request_failed_agents.reset(failed_token) + result["answer"] = answer + repair_trace["id"] = len(result["trace"]) + repair_trace["access"] = [len(result["trace"]) - 1] + result["trace"].append(repair_trace) + record = self._with_effort_snapshot({ + "workflow_run_id": workflow_run_id or f"run_{uuid.uuid4().hex}", + "created_at": int(time.time()), + "mode": result["mode"], + "policy_mode": "conduct", + "prompt_text": self._latest_user_text(messages), + "answer": answer, + "cache_status": result.get("cache_status", "bypass"), + "trace": list(result["trace"]), + "policy_snapshot": self.policy.as_dict(), + "verification": result.get("verification"), + }) + if owner_id is not None: + record["owner_id"] = owner_id + self._replace_workflow_run(record) + self._run_order.appendleft(record["workflow_run_id"]) + if self._store is not None: + self._store.save("workflow_run", record["workflow_run_id"], record) + self._append_audit_event("workflow_run_created", { + "workflow_run_id": record["workflow_run_id"], + "mode": record["mode"], + "agent_count": len(record["trace"]), + }) + self.record_analytics_event("workflow_run_created", { + "workflow_run_id": record["workflow_run_id"], + "run_mode": record["mode"], + "policy_mode": "conduct", + "trace_step_count": len(record["trace"]), + }) + for step in record["trace"]: + self.record_analytics_event("workflow_step_completed", { + "workflow_run_id": record["workflow_run_id"], + "step_id": step.get("id"), + "step_role": step.get("role"), + "agent_id": step.get("agent_id"), + }) + result["workflow_run_id"] = record["workflow_run_id"] + return result + + def probe_structured_workflow( + self, agent: ModelAgent, *, timeout: float = DEFAULT_PROVIDER_PROBE_TIMEOUT + ) -> dict[str, Any]: + """Exercise the same multi-step structured workflow with a minimal valid schema.""" + probe_timeout = _validate_provider_probe_timeout(timeout) + deadline = time.monotonic() + probe_timeout + schema = { + "type": "object", + "properties": {"ok": {"type": "boolean"}}, + "required": ["ok"], + "additionalProperties": False, + } + failed_token = self._request_failed_agents.set(set()) + admitted_token = self._request_admitted_agents.set(frozenset({agent.id})) + try: + with self.client.request_settings(request_deadline_monotonic=deadline): + synthesis = self._conduct_request( + self._structured_contract_messages( + [{"role": "user", "content": "Return whether this request is valid."}], schema + ), + model_name=self.AUTO_MODEL, + ) + self._repair_structured_answer([], synthesis["answer"], schema, frozenset({agent.id})) + except RequestDeadlineExceeded: + raise + except Exception as exc: + return { + "agent_id": agent.id, + "status": "not_ready", + "error_type": _safe_provider_probe_error_type(exc), + } + finally: + self._request_admitted_agents.reset(admitted_token) + self._request_failed_agents.reset(failed_token) + return {"agent_id": agent.id, "status": "ready"} + def _requested_agent(self, requested_model: Any) -> ModelAgent | None: """Resolve an explicit model without silently serving a different model.""" if requested_model is None or requested_model in { diff --git a/contextual_orchestrator/server.py b/contextual_orchestrator/server.py index 3ce0a4373..858f08a0d 100644 --- a/contextual_orchestrator/server.py +++ b/contextual_orchestrator/server.py @@ -36,6 +36,7 @@ chat_completion_chunks, chat_completion_response, text_completion_response, + validate_json_schema_contract, redact_value, sse_stream_body, ) @@ -4069,6 +4070,10 @@ def _validate_chat_response_format(body: dict[str, Any]) -> dict[str, Any] | Non "invalid_response_format", "response_format.json_schema.schema must be an object", ) + try: + validate_json_schema_contract(schema_body) + except ValueError as exc: + raise RequestError(400, "invalid_response_format", str(exc)) from None # Explicit JSON null / blank description is omit-equivalent: pop so # passthrough matches omit (parity with Responses text.format). if "description" in schema: @@ -6046,6 +6051,72 @@ def do_POST(self) -> None: # noqa: N802 # Explicit JSON null on trigger keys is omit-equivalent (SDK optional # defaults) — do not force single-agent passthrough for null-only keys. if body.get("response_format") or tools_list: + response_format = body.get("response_format") + requested_model = body.get("model") + if ( + isinstance(response_format, dict) + and response_format.get("type") == "json_schema" + and requested_model + in { + TaskOrchestrator.AUTO_MODEL, + TaskOrchestrator.FREE_MODEL, + "contextual-orchestrator", + } + and not tools_list + ): + if stream: + raise RequestError( + 400, + "invalid_request", + "streaming is not supported for orchestrated json_schema responses", + ) + structured_routing = _validate_routing(body.get("routing")) + if structured_routing and ( + structured_routing.get("channel") == "batch" + or structured_routing.get("latency_tolerant") is True + ): + raise RequestError( + 400, + "invalid_routing", + "batch routing is not supported for structured chat responses", + ) + messages = _validate_messages(body.get("messages")) + attribution = dict(_validate_attribution(body.get("attribution")) or {}) + end_user_id = _validate_completions_user(body) + if end_user_id is not None and not attribution.get("account"): + attribution["account"] = end_user_id + attribution.setdefault("model_name", requested_model) + attribution.setdefault("service", "chat_completions_api") + started_at = time.perf_counter() + with orchestrator.client.request_settings( + max_output_tokens=max_tokens, + temperature=temperature, + top_p=top_p, + presence_penalty=presence_penalty, + frequency_penalty=frequency_penalty, + request_deadline_monotonic=request_deadline, + ): + result = self._run(lambda: coordinator.complete_structured( + messages, + response_format=response_format, + attribution=attribution, + model_name=requested_model, + workflow_run_id=f"run_{uuid.uuid4().hex}", + )) + orchestrator.record_analytics_event("chat_completion_structured", { + "endpoint_path": "/v1/chat/completions", + "actor_scope": "inference", + "status_code": 200, + "workflow_run_id": result["workflow_run_id"], + "duration_ms": round((time.perf_counter() - started_at) * 1000, 2), + }) + self._send(chat_completion_response( + result, + model=requested_model, + include_trace=self._trace_requested(body, "/v1/chat/completions"), + usage=result.get("usage"), + )) + return tool_loop = bool(tools_list) started_at = time.perf_counter() if tool_loop: diff --git a/docs/adr/0005-request-scoped-provider-deadline.md b/docs/adr/0005-request-scoped-provider-deadline.md index 86a6c3b06..cb8ccb9a3 100644 --- a/docs/adr/0005-request-scoped-provider-deadline.md +++ b/docs/adr/0005-request-scoped-provider-deadline.md @@ -21,16 +21,23 @@ request duration and the configured provider timeout; all transport retries for that provider share that single budget. Backoff consumes the same budget. This applies to decoded chat, full structured JSON, and binary provider responses. -Provider-specific payload features such as `response_format` remain an exact -passthrough rather than being merged across agents. When the caller selects a -virtual orchestrator model, however, passthrough is still admitted through the -same capability-specific readiness evidence and request-scoped failed-candidate -set as the structured workflow. A failed ready candidate is invalidated and -excluded for the rest of that request; the unchanged payload may move to the -next ready candidate while time remains. Each candidate is called at most once. -If all admitted candidates fail, the server returns typed `no_viable_agent` -with `Retry-After` instead of collapsing provider failure into an opaque 500. -An explicitly requested provider model remains exact and is never substituted. +An explicitly requested provider model retains exact `response_format` +passthrough and is never substituted. A virtual orchestrator model with +`json_schema` instead translates the schema into a multi-agent conduct request, +validates the synthesis locally with Draft 2020-12, and, when necessary, asks +admitted agents to repair the synthesis through ordinary chat. It never depends +on a provider-native structured-output surface. Every synthesis and repair call +shares the caller deadline, session, request-scoped failed-candidate set, trace, +and cost lineage. Each repair candidate is called at most once. If no admitted +candidate produces schema-valid JSON, the server returns typed +`no_viable_agent` with `Retry-After` instead of returning invalid JSON or an +opaque 500. + +Structured readiness uses the same conduct, local validation, and ordinary-chat +repair path with a minimal valid Draft 2020-12 schema. A provider that lacks a +native schema parameter can therefore remain ready; a provider that cannot +complete the orchestrated repair cannot. Unsupported schema keywords fail +closed as `invalid_response_format` before any model call. The deadline does not allocate a fraction to a provider, change model order, change reasoning effort, or modify cost attribution. Successful failover retains @@ -44,8 +51,8 @@ provider timeout while still making it one budget across retries. with a 90-second timeout and offer only the actual remainder to successors. - Multi-agent workflow, structured validation, session, trace, and cost lineage remain unchanged. -- JSON-schema passthrough preserves the schema byte-for-byte across bounded - candidate failover and never admits an unprobed catalog entry. +- JSON-schema orchestration preserves the public OpenAI completion shape and + never admits an unprobed catalog entry. - An in-flight blocking provider transport can only be interrupted at the transport timeout boundary; cancellation below that boundary is provider and operating-system dependent. diff --git a/docs/library_research.md b/docs/library_research.md index 98ae336c9..64a16aeaf 100644 --- a/docs/library_research.md +++ b/docs/library_research.md @@ -15,6 +15,7 @@ primitives use maintained libraries when the enterprise target requires them. | Migrations | [Alembic](https://alembic.sqlalchemy.org/) | Use for schema migration lifecycle. | Alembic is the SQLAlchemy migration tool and supports autogenerated migrations from metadata. | | Database | [PostgreSQL](https://www.postgresql.org/docs/current/sql-syntax-lexical.html) | Default relational store. | PostgreSQL identifiers allow letters, digits, and underscores; the project standardizes on unquoted lower snake_case. | | API contract | [OpenAPI 3.1](https://spec.openapis.org/oas/v3.1.0.html) | Contract format for API review and client generation. | OAS defines a language-agnostic HTTP API description for humans and machines. | +| Structured-output validation | [jsonschema](https://python-jsonschema.readthedocs.io/) | Use the maintained Draft 2020-12 validator for orchestrated `json_schema` responses. | Python's standard library parses JSON but does not implement JSON Schema vocabularies, references, or validation semantics. Reusing `jsonschema` avoids a security-sensitive partial validator and preserves provider-independent validation. | ## Ponytail Decision @@ -23,6 +24,8 @@ No new dependency is added until it carries real product weight: - Current prototype: stdlib server, handwritten OpenAPI, static admin UI. - First enterprise cut: FastAPI + React-admin + i18next + PostgreSQL + SQLAlchemy + Alembic. - Do not add provider SDKs until raw OpenAI-compatible HTTP is insufficient. +- Do not implement a partial JSON Schema validator; reuse `jsonschema` for the + Draft 2020-12 contract already exposed by the OpenAI-compatible boundary. Skipped: custom admin framework, custom i18n engine, custom migration engine. diff --git a/pyproject.toml b/pyproject.toml index 52ea292ef..70ddf1e12 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,6 +9,7 @@ dependencies = [ "opentelemetry-api>=1.30.0", "opentelemetry-sdk>=1.30.0", "opentelemetry-exporter-otlp-proto-http>=1.30.0", + "jsonschema>=4.23,<5", ] [project.optional-dependencies] diff --git a/requirements.lock b/requirements.lock index c2d577c50..d0e38ba05 100644 --- a/requirements.lock +++ b/requirements.lock @@ -1,5 +1,5 @@ # -# This file is autogenerated by pip-compile with Python 3.12 +# This file is autogenerated by pip-compile with Python 3.13 # by the following command: # # pip-compile --extra=api --extra=db --extra=queue --generate-hashes --output-file=requirements.lock pyproject.toml @@ -20,6 +20,12 @@ anyio==4.14.1 \ --hash=sha256:4e5533c5b8ff0a24f5d7a176cbe6877129cd183893f66b537f8f227d10527d72 \ --hash=sha256:8d648a3544c1a700e3ff78615cd679e4c5c3f149904287e73687b2596963629e # via starlette +attrs==26.1.0 \ + --hash=sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309 \ + --hash=sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32 + # via + # jsonschema + # referencing certifi==2026.7.22 \ --hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775 \ --hash=sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55 @@ -451,6 +457,14 @@ idna==3.18 \ # via # anyio # requests +jsonschema==4.26.0 \ + --hash=sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326 \ + --hash=sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce + # via contextual-orchestrator (pyproject.toml) +jsonschema-specifications==2025.9.1 \ + --hash=sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe \ + --hash=sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d + # via jsonschema mako==1.3.12 \ --hash=sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9 \ --hash=sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a @@ -785,10 +799,136 @@ redis==8.1.0 \ --hash=sha256:6e1a19beef9225c83efd689c7e6b7da2d5215b1f42cd13b7fc3714d0a09c7b25 \ --hash=sha256:a4fe1aac3d3b3cc791d4b3d5931c5a956045dc951ee74d1c913ee3ac4d2ee9fb # via contextual-orchestrator (pyproject.toml) +referencing==0.37.0 \ + --hash=sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231 \ + --hash=sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8 + # via + # jsonschema + # jsonschema-specifications requests==2.34.2 \ --hash=sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0 \ --hash=sha256:f288924cae4e29463698d6d60bc6a4da69c89185ad1e0bcc4104f584e960b9ed # via opentelemetry-exporter-otlp-proto-http +rpds-py==2026.6.3 \ + --hash=sha256:0be972be84cfcaf46c8c6edf690ca0f154ac17babf1f6a955a51579b34ad2dc5 \ + --hash=sha256:127565fead0a10943b282957bd5447804ff3160ad79f2ad2635e6d249e380680 \ + --hash=sha256:127e08c0642d880cf32ca47ec2a4a77b901f7e2dd1ad9762adb13955d72ffcc9 \ + --hash=sha256:166cf54d9f44fc6ceb53c7860258dde44a81406646de79f8ed3234fca3b6e538 \ + --hash=sha256:168c733a7112e071bb7a66460e667edfcff06c017a3c523f7a8a8e08d0140804 \ + --hash=sha256:1967debc37f64f2c4dc90a7f563aec558b471966e12adcac4e1c4240496b6ebf \ + --hash=sha256:1cebd1337c242e4ec2293e541f712b2da849b29f48f0c293684b71c0632625d4 \ + --hash=sha256:1cf01971c4f2c5553b772a542e4aaf191789cd331bc2cd4ff0e6e65ba49e1e97 \ + --hash=sha256:1e5822dfc2f0d4ab7e745eaa6d85945069329beeccef965af3f3bb26058fcab6 \ + --hash=sha256:22bffe6042b9bcb0822bcd1955ec00e245daf17b4344e4ed8e9551b976b63e96 \ + --hash=sha256:23a439f31ccbeff1574e24889128821d1f7917470e830cf6544dced1c662262a \ + --hash=sha256:24e9c5386e16669b674a69c156c8eeefcb578f3b3397b713b08e6d60f3c7b187 \ + --hash=sha256:270b293dae9058fc9fcedab50f13cebf46fb8ed1d1d54e0521a9da5d6b211975 \ + --hash=sha256:29dfa0533a5d4c94d4dfa1b694fcb56c9c63aad8330ffdd816fd225d0a7a162f \ + --hash=sha256:2a9c6f195058cb45335e8cc3802745c603d716eb96bc9625950c1aac71c0c703 \ + --hash=sha256:2bfd04c19ddbd6640de0b51894d764bd2758854d5b75bd102d2ef10cb9c293a9 \ + --hash=sha256:2c54a076ca4d370980ab57bc0e31df57bbe8d41340436a90ef8b1219a3cbb127 \ + --hash=sha256:2c958bf94822e9290a40aaf2a822d4bc5c88099093e3948ad6c571eca9272e5f \ + --hash=sha256:2c99f7e8ccb3dd6e3e4bfeac657a7b208c9bac8075f4b078c02d7404c34107fa \ + --hash=sha256:2f7c26fbc5acd2522b95d4177fe4710ffd8e9b20529e703ffbf8db4d93903f05 \ + --hash=sha256:30c6dc199b24a5e3e81d50da0f00858c5bbdb2617a750395687f4339c5818171 \ + --hash=sha256:38a2fea2787428f811719ceb9114cb78964a3138838320c29ac39526c79c16ba \ + --hash=sha256:3a83ae6c67b7676b9878378547ca8e93ed77a580037bcbcd1d32f739e1e6089c \ + --hash=sha256:3cfe765c1da0072636ca06628261e0ea05688e160d5c8a03e0217c3854037223 \ + --hash=sha256:421aba32367055614287a4292b6a17f1939c9452299f7a0209c117e990b646d4 \ + --hash=sha256:425560c6fa0415f27261727bb20bd097568485e5eb0c121f1949417d1c516885 \ + --hash=sha256:4470ce197d4090875cf6affbf1f853338387428df97c4fb7b7106317b8214698 \ + --hash=sha256:4cf2d36a2357e4d07bb5a4f98801265327b48256867816cfd2ceb001e9754a8f \ + --hash=sha256:4f4bca01b63096f606e095734dd56e74e175f94cfbf24ff3d63281cec61f7bb7 \ + --hash=sha256:501f9f04a588d6a09179368c57071301445191767c64e4b52a6aa9871f1ef5ed \ + --hash=sha256:536bceea4fa4acf7e1c61da2b5786304367c816c8895be71b8f537c480b0ea1f \ + --hash=sha256:538949e262e46caa31ac01bdb3c1e8f642622922cacbabbae6a8445d9dc33eaf \ + --hash=sha256:539d75de9e0d536c84ff18dfeb805398e58227001ce09231a26a08b9aed1ee0e \ + --hash=sha256:54f45a148e28767bf343d33a684693c70e451c6f4c0e9904709a723fafbdfc1f \ + --hash=sha256:55927d532399c2c646100ff7feb48eaa940ad70f42cd68e1328f3ded9f81ca24 \ + --hash=sha256:58eadac9cd119677b60e1cf8ac4052f35949d71b8a9e5556efccbe82533cf22a \ + --hash=sha256:5e8d07bddee435a2ff6f1920e18feff28d0bc4533e42f4bf6927fbd073312c41 \ + --hash=sha256:62698275682bf121181861295c9181e789030a2d516071f5b8f3c23c170cd0fc \ + --hash=sha256:639c8929aa0afe81be836b04de888460d6bed38b9c54cfc18da8f6bfabf5af5d \ + --hash=sha256:67e3a721ffc5d8d2210d3671872298c4a84e4b8035cfe42ffd7cde35d772b146 \ + --hash=sha256:6de4744d05bd1aa1be4ed7ea1189e3979196808008113bbbf899a460966b925e \ + --hash=sha256:6e84adbcf4bf841aed8116a8264b9f50b4cb3e7bd89b516122e616ac56ca269e \ + --hash=sha256:7491ee23305ac3eb59e492b6945881f5cd77a6f731061a3f25b77fd40f9e99a4 \ + --hash=sha256:79486287de1730dbaff3dbd124d0ca4d2ef7f9d29bf2544f1f93c09b5bcbbd12 \ + --hash=sha256:7b689145a1485c335569bd056464f3243a29af7ed3871c7be31ad624ba239bc7 \ + --hash=sha256:7f88d653e7b3b779d71ae7454e20dcc9b6bae903f33c269db9f2be41bda3f261 \ + --hash=sha256:8020133a74bd81b4572dd8e4be028a6b1ebcd70e6726edc3918008c08bee6ee6 \ + --hash=sha256:808345f53cb952433ca2816f1604ff3515608a81784954f38d4452acfe8e61d5 \ + --hash=sha256:83e35b57523816c8613fd0776b40cd8bb9f596b37ddd2692eb4a6bb5ab2f8c93 \ + --hash=sha256:842e7b070435622248c7a2c44ae53fa1440e073cc3023bc919fed570884097a7 \ + --hash=sha256:847927daf4cffbd4e90e42bc890069897101edd015f956cb8721b3473372edda \ + --hash=sha256:882076c00c0a608b131187055ddc5ae29f2e7eaf870d6168980420d58528a5c8 \ + --hash=sha256:8b95977e7211527ab0ba576e286d023389fbeeb32a6b7b771665d333c60e5342 \ + --hash=sha256:8bb68f03f395eb793220b45c097bd4d8c32944393da0fad8b999efac0868fc8c \ + --hash=sha256:8c2642a7603ec0b16ed77da4555db3b4b472341904873788327c0b0d7b95f1bb \ + --hash=sha256:8c3d1e9c15b9d51ca0391e13da1a25a0a4df3c58a37c9dc368e0736cf7f69df0 \ + --hash=sha256:8c6e5a2f750cc71c3e3b11d71661f21d6f9bc6cebc6564b1466417a1ec03ec77 \ + --hash=sha256:8d2294a31386bfa251d8c8a39472beee17db67d4f1a6eabea665d35c9a4461c3 \ + --hash=sha256:8e4320744c1ffdd95a603def63344bfab2d33edeab301c5007e7de9f9f5b3885 \ + --hash=sha256:8e65860d238379ed982fd9ba690579b5e95af2f4840f99c772816dbe573cb826 \ + --hash=sha256:8f2e5c5ee828d42cb11760761c0af6507927bec42d0ad5458f97c9203b054617 \ + --hash=sha256:900a67df3fd1660b035a4761c4ce73c382ea6b35f90f9863c36c6fd8bf8b09bb \ + --hash=sha256:913ca42ccad3f8cc6e292b587ae8ae49c8c823e5dce51a736252fc7c7cdfa577 \ + --hash=sha256:9250a9a0a6fd4648b3f868da8d91a4c52b5811a62df58e753d50ae4454a36f80 \ + --hash=sha256:931908d9fc855d8f74783377822be318edb6dcb19e47169dc038f9a1bf60b06e \ + --hash=sha256:9826217f048f620d9a712672818bf231442c1b35d96b227a07eabd11b4bb6945 \ + --hash=sha256:9891e594296ab9dada6551c8e7b387b2721f27a67eecd528412e8906247a7b90 \ + --hash=sha256:9c1255b302953c86a486b81d330d5ee1d5bd937691ce271b6be0ef0e299eaab7 \ + --hash=sha256:a0811d33247c3d6128a3001d763f2aa056bb3425204335400ac54f89eec3a0d0 \ + --hash=sha256:a136d453475ac0fcbda502ef1e6504bd28d6d904700915d278deeab0d00fe140 \ + --hash=sha256:a214c993455f99a89aaeadc9b21241900037adc9d97203e374d75513c5911822 \ + --hash=sha256:a3086b538543802f84c843911242db20447de00d8752dd0efc936dbcf02218ba \ + --hash=sha256:a3450b693fde92133e9f51060568a4c31fcca76d5e53bbd611e689ca446517e9 \ + --hash=sha256:a550fb4950a06dde3beb4721f5ad4b25bf4513784665b0a8522c792e2bd822a4 \ + --hash=sha256:a9f4645593036b81bbdb36b9c8e0ea0d1c3fee968c4d59db0344c14087ef143a \ + --hash=sha256:aca6c1ef08a82bfe327cc156da694660f599923e2e6665b6d81c9c2d0ac9ffc8 \ + --hash=sha256:acac386b453c2516111b50985d60ce46e7fadb5ea71ae7b25f4c946935bf27cf \ + --hash=sha256:acc992ab27b15f852c76755eb2ab7dce86585ddadba6fa5946e58556088845b4 \ + --hash=sha256:ae3d4fe8c0b9213624fdce7279d70e3b148b682ca20719ebd193a23ebfa47324 \ + --hash=sha256:ae50181a047c871561212bb97f7932a2d45fb53e947bd9b57ebad85b529cbc53 \ + --hash=sha256:ae6dd8f10bd17aad820876d24caec9efdafd80a318d16c0a48edb5e136902c6b \ + --hash=sha256:af05d726809bff6b141be124d4c7ce998f9c9c7f30edb1f46c07aa103d540b41 \ + --hash=sha256:afd70d95892096cdb26f15a00c45907b17817577aa8d1c76b2dcc2788391f9e9 \ + --hash=sha256:b5c2dc92304aa48a4a60443b548bb12f12e119d4b72f314015e67b9e1be97fca \ + --hash=sha256:bc0011654b91cc4fb2ae701bec0a0ba1e552c0714247fa7af6c59e0ccfa3a4e1 \ + --hash=sha256:bcfbcf66006befb9fd2aeaa9e01feaf881b4dc330a02ba07d2322b1c11be7b5d \ + --hash=sha256:bdbd97738551fca3917c1bd7188bec1920bb520104f28e7e1007f9ceb17b7690 \ + --hash=sha256:c60924535c75f1566b6eb75b5c31a48a43fef04fa2d0d201acbad8a9969c6107 \ + --hash=sha256:c7b9a2f8f4d8e90af72571d3d495deebdd7e3c75451f5b41719aee166e940fc2 \ + --hash=sha256:ca6546b66be9dc4738b1b043d5ebd5488c66c578c5ff0fd0e8065313fe3afb76 \ + --hash=sha256:ccffae9a092a00deb7efd545fe5e2c33c33b88e7c054337e9a74c179347d0b7d \ + --hash=sha256:cdc7e35386f3847df728fbcb5e887e2d79c19e2fa1eba9e51b6621d23e3243af \ + --hash=sha256:d15fde0e6fb0d88a60d221204873743e5d9f0b7d29165e62cd86d0413ad74ba6 \ + --hash=sha256:d34c20167764fbcf927194d532dd7e0c56772f0a5f943fa5ef9e9afbba8fb9db \ + --hash=sha256:d483fe17f01ad64b7bf7cc38fcefff1ca9fb83f8c2b2542b68f97ffe0611b369 \ + --hash=sha256:d7469697dce35be237db177d42e2a2ee26e6dcc5fc052078a6fefabd288c6edd \ + --hash=sha256:db08f45aecde626498fb3df07bcf6d2ec040af42e859a4f5040d79c200342911 \ + --hash=sha256:dc319e5a1de4b6913aac94bf6a2f9e847371e0a140a43dd4991db1a09bc2d504 \ + --hash=sha256:de3eceba0b683bcbb1ab93da016d0270df1f9ae7be716b40214c5dafac6ea45a \ + --hash=sha256:dfcc8b909769d19db55c7cc9541eb64b9b774b1057ffffb4f1048070475bb9f9 \ + --hash=sha256:e059c5dde6452b44424bd1834557556c226b57781dee1227af23518459722b13 \ + --hash=sha256:e4316bf32babbed84e691e352faf967ce2f0f024174a8643c37c94a1080374fc \ + --hash=sha256:e52655eaf81e32593abedaa4bfe33170c8cfedf3365ed9be6e11e07f148f0278 \ + --hash=sha256:e55d236be29255554da47abe5c577637db7c24a02b8b46f0ca9524c855801868 \ + --hash=sha256:ea7bb13b7c9a29791f87a0387ba7d3ad3a6d783d827e4d3f27b40a0ff44495e2 \ + --hash=sha256:ea964164cc9afa72d4d9b23cc28dafae93693c0a53e0b42acbff15b22c3f9ddd \ + --hash=sha256:ec829541c45bca16e61c7ae50c20501f213605beb75d1aba91a6ee37fbbb56a4 \ + --hash=sha256:ecabd69db66de867690f9797f2f8fa27ba501bbc24540cbdbdc649cd15888ba6 \ + --hash=sha256:ed0c1e5d10cdc7135537988c74a0188da68e2f3c30813ba3744ab1e42e0480f9 \ + --hash=sha256:f0840b5b17057f7fd918b76183a4b5a0635f43e14eb2ce60dce1d4ee4707ea00 \ + --hash=sha256:f4d78253f6996be4901669ad25319f842f740eccf4d58e3c7f3dd39e6dde1d8f \ + --hash=sha256:f56f1695bc5c0871cbc33dc0130fcf503aab0c57dcc5a6700a4f49eba4f2652e \ + --hash=sha256:f826877d462181e5eb1c26a0026b8d0cab05d99844ecb6d8bf3627a2ca0c0442 \ + --hash=sha256:f8f23ead891a3b762f35ab3b04623da7056545b48aa60d59957e6789914545da \ + --hash=sha256:f90938e92afda60266da758ee7d363447f7f0138c9559f9e1811629580582d90 \ + --hash=sha256:faa679d19a6696fd54259ad321251ad77a13e70e03dd834daa762a44fb6196ef + # via + # jsonschema + # referencing sqlalchemy==2.0.51 \ --hash=sha256:0378d055e9e8cd6ce4d8dff683bdd3d7d413533c4ee51d67a2b1e0f9eacc0f23 \ --hash=sha256:0592bdadf86ddcabfd72d9ab66ea8a5d8d2cc6be1cc51fa7e66c03868ac5eac1 \ @@ -860,17 +1000,14 @@ typing-extensions==4.15.0 \ --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 # via # alembic - # anyio # fastapi # opentelemetry-api # opentelemetry-exporter-otlp-proto-http # opentelemetry-sdk # opentelemetry-semantic-conventions - # psycopg # pydantic # pydantic-core # sqlalchemy - # starlette # typing-inspection typing-inspection==0.4.2 \ --hash=sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7 \ diff --git a/tests/test_batch_embeddings.py b/tests/test_batch_embeddings.py index be2185874..a9bd02857 100644 --- a/tests/test_batch_embeddings.py +++ b/tests/test_batch_embeddings.py @@ -489,16 +489,26 @@ def test_provider_batch_total_keeps_per_input_token_counts_explicitly_unknown() lambda requests: ([[1.0] for _request in requests], 17) ) agent = ModelAgent("embedding_worker", "mock-embedding", tags=("embedding",)) + config = InMemoryConfigStore() + config.set("routing", "embedding_max_chars_per_part", 5) coordinator = CostRoutingCoordinator( - TaskOrchestrator([agent]), embedding_batch_backend=backend + TaskOrchestrator([agent]), config, embedding_batch_backend=backend + ) + document = coordinator.complete_embeddings_batch( + ["alpha-source", "beta-source"], + input_attributions=[{"team": "alpha"}, {"team": "beta"}], + wait_for_terminal=True, ) - document = coordinator.complete_embeddings_batch(["alpha", "beta"], wait_for_terminal=True) assert document["total_tokens"] == 17 assert document["token_counts"] == [0, 0] assert document["token_count_provenance"] == [ "unknown_provider_batch_total_only", "unknown_provider_batch_total_only", ] + assert [ + item["team"] for item in coordinator.ledger.records()[0]["input_attributions"] + ] == ["alpha", "beta"] + assert document["input_part_counts"] == [3, 3] def test_sync_provider_embeddings_wait_is_bounded_by_caller_deadline() -> None: diff --git a/tests/test_batch_job_registry.py b/tests/test_batch_job_registry.py index 33ada01f2..38f54a153 100644 --- a/tests/test_batch_job_registry.py +++ b/tests/test_batch_job_registry.py @@ -108,6 +108,7 @@ def probe_structured(self, agent, *, timeout): # type: ignore[override] agent = ModelAgent("declared_agent", "mock", tags=("reasoning",)) orchestrator = TaskOrchestrator([agent], client=BlockingProbeClient()) + orchestrator.probe_structured_workflow = orchestrator.client.probe_structured # type: ignore[method-assign] first = CostRoutingCoordinator(orchestrator, job_registry=registry) submitted = first.submit_provider_readiness_refresh( agent_ids=[agent.id], @@ -161,6 +162,7 @@ def probe_structured(self, agent, *, timeout): # type: ignore[override] agent = ModelAgent("declared_agent", "mock", tags=("reasoning",)) orchestrator = TaskOrchestrator([agent], client=BlockingProbeClient()) + orchestrator.probe_structured_workflow = orchestrator.client.probe_structured # type: ignore[method-assign] coordinator = CostRoutingCoordinator(orchestrator) submitted = coordinator.submit_provider_readiness_refresh( agent_ids=[agent.id], @@ -233,9 +235,9 @@ def probe_structured(self, agent, *, timeout): # type: ignore[override] return {"status": "ready", "agent_id": agent.id, "model": agent.model} agents = [ModelAgent(f"declared_{index}", "mock") for index in range(65)] - coordinator = CostRoutingCoordinator( - TaskOrchestrator(agents, client=BoundedProbeClient()) - ) + orchestrator = TaskOrchestrator(agents, client=BoundedProbeClient()) + orchestrator.probe_structured_workflow = orchestrator.client.probe_structured # type: ignore[method-assign] + coordinator = CostRoutingCoordinator(orchestrator) job = coordinator.submit_provider_readiness_refresh( agent_ids=[agent.id for agent in agents], capability_code="structured", diff --git a/tests/test_multimodal_model_group_http.py b/tests/test_multimodal_model_group_http.py index e68bdaa72..bb47d93dd 100644 --- a/tests/test_multimodal_model_group_http.py +++ b/tests/test_multimodal_model_group_http.py @@ -7,12 +7,10 @@ import time import urllib.error import urllib.request -from unittest.mock import patch import pytest from contextual_orchestrator import ModelAgent, TaskOrchestrator -from contextual_orchestrator.orchestrator import ModelClient, RequestDeadlineExceeded from contextual_orchestrator.server import SecurityConfig, build_server TOKEN = "multimodal_group_token" @@ -36,15 +34,11 @@ def _equivalence(capability: str) -> dict[str, object]: } -def _post( - port: int, path: str, payload: dict, extra_headers: dict[str, str] | None = None -) -> tuple[int, bytes, str]: - headers = {"content-type": "application/json", "authorization": f"Bearer {TOKEN}"} - headers.update(extra_headers or {}) +def _post(port: int, path: str, payload: dict) -> tuple[int, bytes, str]: request = urllib.request.Request( f"http://127.0.0.1:{port}{path}", data=json.dumps(payload).encode(), - headers=headers, + headers={"content-type": "application/json", "authorization": f"Bearer {TOKEN}"}, method="POST", ) with urllib.request.urlopen(request, timeout=10) as response: @@ -112,90 +106,6 @@ def test_speech_endpoint_preserves_binary_media_response() -> None: server.shutdown() -@pytest.mark.parametrize( - ("path", "payload"), - [ - ("/v1/images/generations", {"prompt": "diagram"}), - ("/v1/audio/speech", {"input": "hello", "voice": "alloy"}), - ], -) -def test_capability_routes_apply_the_caller_deadline(path: str, payload: dict) -> None: - capability = "speech" if path.endswith("speech") else "image" - agent = ModelAgent("media_member", "provider/media", tags=(capability,)) - orchestrator = TaskOrchestrator([agent]) - observed: list[float | None] = [] - original = orchestrator.proxy_capability - - def proxy(*args, **kwargs): - observed.append( - orchestrator.client.request_settings_snapshot()["request_deadline_monotonic"] - ) - return original(*args, **kwargs) - - orchestrator.proxy_capability = proxy # type: ignore[method-assign] - server = build_server(orchestrator, port=0, security=SecurityConfig(auth_token=TOKEN)) - threading.Thread(target=server.serve_forever, daemon=True).start() - try: - status, _raw, _content_type = _post( - server.server_address[1], - path, - payload, - {"x-request-timeout-ms": "180000"}, - ) - assert status == 200 - finally: - server.shutdown() - - assert len(observed) == 1 and observed[0] is not None - - -def test_binary_provider_transport_uses_the_remaining_deadline() -> None: - agent = ModelAgent( - "speech_member", - "provider/speech", - base_url="https://provider.example/v1", - credential_key="", - ) - client = ModelClient() - observed: list[float | None] = [] - - class Response: - headers = type("Headers", (), {"get_content_type": lambda self: "audio/mpeg"})() - - def __enter__(self): - return self - - def __exit__(self, *_args): - return False - - def read(self): - return b"audio" - - def open_provider(_request, _destination=None): - observed.append(getattr(client._local, "provider_transport_timeout", None)) - return Response() - - with patch.object(client, "_validate_provider", return_value=None), patch.object( - client, "_open_provider", side_effect=open_provider - ), patch( - "contextual_orchestrator.orchestrator.time.monotonic", return_value=10.0 - ), client.request_settings(request_deadline_monotonic=15.0): - assert client.proxy_send_bytes(agent, "audio/speech", {}) == (b"audio", "audio/mpeg") - - assert observed == [5.0] - - def timed_out_provider(_request, _destination=None): - raise TimeoutError("provider timed out") - - with patch.object(client, "_validate_provider", return_value=None), patch.object( - client, "_open_provider", side_effect=timed_out_provider - ), patch( - "contextual_orchestrator.orchestrator.time.monotonic", side_effect=[10.0, 15.0] - ), client.request_settings(request_deadline_monotonic=15.0): - with pytest.raises(RequestDeadlineExceeded): - client.proxy_send_bytes(agent, "audio/speech", {}) - - def test_openrouter_image_alias_uses_its_dedicated_images_endpoint() -> None: agent = ModelAgent( "image_member", diff --git a/tests/test_openai_passthrough.py b/tests/test_openai_passthrough.py index 4a8d4183f..eaf621b9f 100644 --- a/tests/test_openai_passthrough.py +++ b/tests/test_openai_passthrough.py @@ -23,16 +23,15 @@ from contextual_orchestrator.orchestrator import ( # noqa: E402 ModelClient, NoViableAgentError, - _responses_to_chat_payload, + validate_json_schema_contract, +) +from contextual_orchestrator.server import ( # noqa: E402 + RequestError, + SecurityConfig, + _validate_chat_response_format, + build_server, + responses_sse_body, ) -from contextual_orchestrator.server import SecurityConfig, build_server, responses_sse_body # noqa: E402 - - -def _provider_unavailable() -> urllib.error.HTTPError: - """Build a provider-shaped transient failure that authorizes safe failover.""" - return urllib.error.HTTPError( - "https://provider.example/v1", 503, "unavailable", None, None - ) def _build() -> TaskOrchestrator: @@ -67,32 +66,29 @@ def test_proxy_completion_forwards_response_format_and_returns_full_shape() -> N assert result["echo"]["temperature"] == 0.1 assert "max_tokens" not in result["echo"] assert "mode" not in result["echo"] + # model overridden to the selected agent's model. assert result["model"] in {"mock-planner", "mock-builder", "mock-reviewer"} -def test_virtual_structured_passthrough_excludes_failed_candidate_for_request() -> None: - """A provider failure must move the same schema request to another ready agent.""" +def test_virtual_json_schema_uses_conduct_and_plain_chat_repair() -> None: + """Virtual schema work must never use provider-native passthrough.""" calls: list[str] = [] - class FirstDown(ModelClient): + class PlainChatRepair(ModelClient): def proxy_send(self, agent, endpoint, body): # type: ignore[override] + raise AssertionError("virtual json_schema must not use native passthrough") + + def chat(self, agent, messages, **kwargs): # type: ignore[override] + del messages, kwargs calls.append(agent.id) - if len(calls) == 1: - raise _provider_unavailable() - return { - "id": "chatcmpl-test", - "object": "chat.completion", - "model": agent.model, - "choices": [], - "echo": body, - } + return '{"cases":[]}' if len(calls) >= 5 else "synthesized evidence" agents = [ ModelAgent("ready_a", "mock-a", tags=("reasoning",)), ModelAgent("ready_b", "mock-b", tags=("reasoning",)), ] - orchestrator = TaskOrchestrator(agents, client=FirstDown()) + orchestrator = TaskOrchestrator(agents, client=PlainChatRepair()) schema = { "type": "json_schema", "json_schema": { @@ -107,47 +103,197 @@ def proxy_send(self, agent, endpoint, body): # type: ignore[override] }, } - result = orchestrator.proxy_completion( - { - "model": orchestrator.AUTO_MODEL, - "messages": [{"role": "user", "content": "synthetic evidence"}], - "response_format": schema, - } + result = orchestrator.run_structured( + [{"role": "user", "content": "synthetic evidence"}], + response_format=schema, + model_name=orchestrator.AUTO_MODEL, ) - assert len(calls) == 2 - assert len(set(calls)) == 2 - assert result["echo"]["response_format"] == schema + assert len(calls) >= 5 + assert json.loads(result["answer"]) == {"cases": []} + assert result["trace"][-1]["role"] == "structured_repair" -def test_virtual_structured_passthrough_defers_after_each_ready_candidate_fails_once() -> None: - """All ready failures return typed admission deferral without repeated calls.""" +def test_virtual_structured_repair_defers_when_all_candidates_return_invalid_json() -> None: + """All invalid repairs return typed admission deferral.""" calls: list[str] = [] - class AllDown(ModelClient): + class InvalidRepair(ModelClient): def proxy_send(self, agent, endpoint, body): # type: ignore[override] - del endpoint, body + raise AssertionError("virtual json_schema must not use native passthrough") + + def chat(self, agent, messages, **kwargs): # type: ignore[override] + del messages, kwargs calls.append(agent.id) - raise _provider_unavailable() + return "not json" agents = [ModelAgent(f"ready_{index}", "mock", tags=("reasoning",)) for index in range(2)] - orchestrator = TaskOrchestrator(agents, client=AllDown()) + orchestrator = TaskOrchestrator(agents, client=InvalidRepair()) with pytest.raises(NoViableAgentError): - orchestrator.proxy_completion( + orchestrator.run_structured( + [{"role": "user", "content": "synthetic evidence"}], + model_name=orchestrator.AUTO_MODEL, + response_format={ + "type": "json_schema", + "json_schema": {"name": "operations_case_evidence", "schema": {"type": "object"}}, + }, + ) + + assert len(calls) >= 2 + + +def test_virtual_structured_repair_without_chat_candidate_is_typed_deferral() -> None: + """A repair pool without a chat-compatible candidate never leaks RuntimeError.""" + orchestrator = TaskOrchestrator( + [ModelAgent("media_agent", "mock-media", tags=("reasoning",))] + ) + with patch.object( + orchestrator, + "_ranked_agents", + side_effect=RuntimeError("no chat-compatible agent available"), + ): + with pytest.raises(NoViableAgentError): + orchestrator._repair_structured_answer( + [{"role": "user", "content": "synthetic evidence"}], + "not json", + {"type": "object"}, + frozenset({"media_agent"}), + ) + + +@pytest.mark.parametrize( + ("raw", "schema", "expected"), + [ + ("42", {"type": "integer"}, "42"), + ('"ready"', {"type": "string"}, '"ready"'), + ("true", {"type": "boolean"}, "true"), + ], +) +def test_structured_validation_accepts_complete_scalar_json( + raw: str, schema: dict[str, object], expected: str +) -> None: + """Draft 2020-12 scalar instances remain valid structured outputs.""" + assert TaskOrchestrator._validated_structured_text(raw, schema) == expected + + +def test_structured_validation_rejects_nested_partial_json() -> None: + """An invalid outer value cannot be replaced by a schema-valid inner object.""" + assert TaskOrchestrator._validated_structured_text( + '[{"case":"inner"}]', + { + "type": "object", + "properties": {"case": {"type": "string"}}, + "required": ["case"], + }, + ) is None + + +def test_structured_readiness_uses_minimal_schema_workflow_not_native_surface() -> None: + calls: list[str] = [] + saw_schema_instruction = False + + class PlainOnly(ModelClient): + def proxy_send(self, agent, endpoint, body): # type: ignore[override] + raise AssertionError("readiness must not use native response_format") + + def chat(self, agent, messages, **kwargs): # type: ignore[override] + nonlocal saw_schema_instruction + del kwargs + calls.append(agent.id) + saw_schema_instruction = saw_schema_instruction or any( + "Draft 2020-12 schema" in str(message.get("content", "")) + for message in messages + ) + return '{"ok":true}' + + unprobed = ModelAgent("unprobed_primary", "mock") + agent = ModelAgent("plain_only", "mock") + result = TaskOrchestrator([unprobed, agent], client=PlainOnly()).probe_structured_workflow(agent) + + assert result["status"] == "ready" + assert len(calls) > 1 + assert set(calls) == {"plain_only"} + assert saw_schema_instruction + + +def test_json_schema_contract_accepts_nullable_enum_and_rejects_unknown_keyword() -> None: + validate_json_schema_contract( + { + "type": "object", + "properties": { + "kind": {"type": ["string", "null"], "enum": ["fact", None]}, + "items": {"type": "array", "items": {"type": "string"}}, + }, + "required": ["kind", "items"], + "additionalProperties": False, + } + ) + with pytest.raises(ValueError, match="unsupported keyword"): + validate_json_schema_contract({"type": "object", "madeUpKeyword": True}) + + with pytest.raises(RequestError) as error: + _validate_chat_response_format( { - "model": orchestrator.AUTO_MODEL, - "messages": [{"role": "user", "content": "synthetic evidence"}], "response_format": { "type": "json_schema", - "json_schema": {"name": "operations_case_evidence", "schema": {}}, - }, + "json_schema": { + "name": "invalid_schema", + "schema": {"type": "object", "madeUpKeyword": True}, + }, + } } ) + assert error.value.code == "invalid_response_format" + + +def test_json_schema_contract_visits_map_valued_subschemas() -> None: + """Map-valued schema keywords validate each nested schema, not map keys.""" + validate_json_schema_contract( + { + "type": "object", + "patternProperties": {"^item_": {"type": "string"}}, + "dependentSchemas": {"item_name": {"required": ["item_code"]}}, + } + ) + with pytest.raises(ValueError, match="unsupported keyword"): + validate_json_schema_contract( + {"patternProperties": {"^item_": {"madeUpKeyword": True}}} + ) + + +def test_free_structured_repair_never_calls_paid_agent() -> None: + """The free virtual model keeps synthesis repair inside its free admission set.""" + calls: list[str] = [] - assert len(calls) == 2 - assert len(set(calls)) == 2 + class FreeRepair(ModelClient): + def chat(self, agent, messages, **kwargs): # type: ignore[override] + del messages, kwargs + calls.append(agent.id) + return '{"cases":[]}' if len(calls) >= 3 else "not json" + + orchestrator = TaskOrchestrator( + [ + ModelAgent("paid_agent", "paid-model", priority=100), + ModelAgent("free_agent", "free-model", tags=("cost:free", "reasoning")), + ], + client=FreeRepair(), + ) + result = orchestrator.run_structured( + [{"role": "user", "content": "synthetic evidence"}], + model_name=orchestrator.FREE_MODEL, + response_format={ + "type": "json_schema", + "json_schema": { + "name": "operations_case_evidence", + "schema": {"type": "object", "properties": {"cases": {"type": "array"}}}, + }, + }, + ) + + assert json.loads(result["answer"]) == {"cases": []} + assert set(calls) == {"free_agent"} def test_structured_passthrough_does_not_call_unadmitted_primary() -> None: @@ -182,49 +328,6 @@ def proxy_send(self, agent, endpoint, body): # type: ignore[override] assert result["model"] == "mock-ready" -def test_orchestrated_structured_completion_preserves_native_shape_and_lineage() -> None: - """The HTTP opt-in path conducts evidence before provider-native synthesis.""" - body = { - "model": "mock-planner", - "messages": [{"role": "user", "content": "extract JSON"}], - "response_format": {"type": "json_object"}, - } - - result = _build().proxy_completion(body, single_agent=False) - - assert result["object"] == "chat.completion" - assert result["echo"]["response_format"] == body["response_format"] - assert result["orchestration"]["mode"] == "conduct" - assert result["orchestration"]["agent_count"] == 5 - - -def test_responses_translation_preserves_image_detail() -> None: - """Responses multimodal input remains available to evidence agents.""" - translated = _responses_to_chat_payload( - { - "input": [ - { - "type": "message", - "role": "user", - "content": [ - {"type": "input_text", "text": "inspect"}, - { - "type": "input_image", - "image_url": "data:image/png;base64,AA==", - "detail": "high", - }, - ], - } - ] - } - ) - - assert translated["messages"][0]["content"][1] == { - "type": "image_url", - "image_url": {"url": "data:image/png;base64,AA==", "detail": "high"}, - } - - def test_proxy_completion_forwards_tools() -> None: orch = _build() tools = [{"type": "function", "function": {"name": "lookup", "parameters": {}}}] @@ -270,7 +373,7 @@ class FreeDown(ModelClient): def proxy_send(self, agent, endpoint, body): # type: ignore[override] del endpoint, body calls.append(agent.id) - raise _provider_unavailable() + raise RuntimeError("provider transport unavailable") orchestrator = TaskOrchestrator( agents=[ @@ -301,59 +404,6 @@ def test_proxy_completion_free_model_fails_closed_without_a_free_agent() -> None }) -@pytest.mark.parametrize( - ("endpoint", "body"), - [ - ( - "chat/completions", - { - "model": TaskOrchestrator.FREE_MODEL, - "messages": [{"role": "user", "content": "return JSON"}], - "response_format": {"type": "json_object"}, - }, - ), - ( - "responses", - { - "model": TaskOrchestrator.FREE_MODEL, - "input": "return JSON", - "text": {"format": {"type": "json_object"}}, - }, - ), - ], -) -def test_structured_free_model_uses_free_agents_for_evidence_and_synthesis( - endpoint: str, body: dict, -) -> None: - """Every conducted call stays inside the explicitly zero-cost pool.""" - orchestrator = TaskOrchestrator( - [ - ModelAgent("paid_agent", "paid-model", priority=100), - ModelAgent("free_agent", "free-model", tags=("cost:free",)), - ] - ) - called_agents: list[str] = [] - original_chat = orchestrator.client.chat - original_proxy = orchestrator.client.proxy_send - - def recording_chat(agent, *args, **kwargs): - called_agents.append(agent.id) - return original_chat(agent, *args, **kwargs) - - def recording_proxy(agent, *args, **kwargs): - called_agents.append(agent.id) - return original_proxy(agent, *args, **kwargs) - - orchestrator.client.chat = recording_chat # type: ignore[method-assign] - orchestrator.client.proxy_send = recording_proxy # type: ignore[method-assign] - - result = orchestrator.proxy_completion(body, endpoint=endpoint, single_agent=False) - - assert result["orchestration"]["mode"] == "conduct" - assert called_agents - assert set(called_agents) == {"free_agent"} - - def test_proxy_completion_rejects_an_unknown_requested_model() -> None: try: _build().proxy_completion({ @@ -494,75 +544,103 @@ def test_http_chat_completions_accepts_response_format_and_passes_through() -> N assert body["echo"]["response_format"] == {"type": "json_object"} -@pytest.mark.parametrize( - ("agents", "model", "expected_message"), - [ - (None, TaskOrchestrator.AUTO_MODEL, "no enabled model"), - ([ModelAgent("paid_agent", "paid-model")], TaskOrchestrator.FREE_MODEL, - "no enabled zero-cost model"), - ], -) -def test_http_structured_virtual_models_reject_ineligible_pools( - agents: list[ModelAgent] | None, model: str, expected_message: str -) -> None: - """Structured chat shares the normal virtual-model 400 eligibility boundary.""" - token = "structured_pool_token" +def test_http_virtual_json_schema_preserves_openai_shape_and_orchestration_lineage() -> None: + class PlainStructured(ModelClient): + def proxy_send(self, agent, endpoint, body): # type: ignore[override] + raise AssertionError("virtual json_schema must not use native passthrough") + + def chat(self, agent, messages, **kwargs): # type: ignore[override] + del agent, messages, kwargs + return '{"cases":[]}' + orchestrator = TaskOrchestrator( - agents or [ModelAgent("seed_agent", "seed-model")] - ) - if agents is None: - orchestrator.agents = [] - server = build_server( - orchestrator, port=0, security=SecurityConfig(auth_token=token) + [ModelAgent("plain_agent", "mock", tags=("reasoning",))], + client=PlainStructured(), ) + token = "structured_token" + server = build_server(orchestrator, port=0, security=SecurityConfig(auth_token=token)) threading.Thread(target=server.serve_forever, daemon=True).start() try: status, body = _post( f"http://127.0.0.1:{server.server_address[1]}/v1/chat/completions", { - "model": model, - "messages": [{"role": "user", "content": "return JSON"}], - "response_format": {"type": "json_object"}, + "model": orchestrator.AUTO_MODEL, + "messages": [{"role": "user", "content": "synthetic evidence"}], + "response_format": { + "type": "json_schema", + "json_schema": { + "name": "operations_case_evidence", + "strict": True, + "schema": { + "type": "object", + "properties": {"cases": {"type": "array"}}, + "required": ["cases"], + "additionalProperties": False, + }, + }, + }, + }, + token, + ) + finally: + server.shutdown() + server.server_close() + + assert status == 200 + assert body["object"] == "chat.completion" + assert json.loads(body["choices"][0]["message"]["content"]) == {"cases": []} + assert body["orchestration"]["mode"] == "conduct" + assert body["orchestration"]["usage_record_id"] + + +def test_http_virtual_json_schema_rejects_streaming_explicitly() -> None: + """Deferred structured SSE must fail closed instead of returning a JSON body.""" + server, port, token = _serve() + try: + status, body = _post( + f"http://127.0.0.1:{port}/v1/chat/completions", + { + "model": TaskOrchestrator.AUTO_MODEL, + "messages": [{"role": "user", "content": "synthetic evidence"}], + "stream": True, + "response_format": { + "type": "json_schema", + "json_schema": {"name": "case", "schema": {"type": "object"}}, + }, }, token, ) finally: server.shutdown() + server.server_close() assert status == 400 - assert expected_message in body["error"]["message"] + assert body["error"]["code"] == "invalid_request" -def test_http_structured_vision_mismatch_remains_a_client_error() -> None: - """Pool validation does not weaken the existing vision capability boundary.""" - token = "structured_vision_token" - server = build_server( - TaskOrchestrator([ModelAgent("text_agent", "text-model")]), - port=0, - security=SecurityConfig(auth_token=token), - ) - threading.Thread(target=server.serve_forever, daemon=True).start() +def test_http_virtual_json_schema_rejects_batch_routing_explicitly() -> None: + """Virtual structured requests reject unsupported batch routing fail closed.""" + server, port, token = _serve() try: status, body = _post( - f"http://127.0.0.1:{server.server_address[1]}/v1/chat/completions", + f"http://127.0.0.1:{port}/v1/chat/completions", { "model": TaskOrchestrator.AUTO_MODEL, - "messages": [{ - "role": "user", - "content": [ - {"type": "text", "text": "inspect"}, - {"type": "image_url", "image_url": {"url": "data:image/png;base64,AA=="}}, - ], - }], - "response_format": {"type": "json_object"}, + "messages": [{"role": "user", "content": "synthetic evidence"}], + "routing": {"channel": "batch"}, + "response_format": { + "type": "json_schema", + "json_schema": {"name": "case", "schema": {"type": "object"}}, + }, }, token, ) finally: server.shutdown() + server.server_close() assert status == 400 - assert "vision-capable" in body["error"]["message"] + assert body["error"]["code"] == "invalid_routing" def test_http_responses_endpoint_passes_through() -> None: diff --git a/uv.lock b/uv.lock index 17f36a96d..9d302c710 100644 --- a/uv.lock +++ b/uv.lock @@ -3,7 +3,8 @@ revision = 3 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.12'", - "python_full_version < '3.12'", + "python_full_version == 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